Device assisted CDR creation, aggregation, mediation and billing

Information

  • Patent Grant
  • 11190645
  • Patent Number
    11,190,645
  • Date Filed
    Wednesday, May 29, 2019
    5 years ago
  • Date Issued
    Tuesday, November 30, 2021
    2 years ago
Abstract
Device assisted CDR creation, aggregation, mediation and billing is provided. In some embodiments, device assisted CDR creation, aggregation, mediation and billing for a wireless network includes collecting device generated service usage information for one or more devices in wireless communication on the wireless network; and providing the device generated service usage information in a syntax (e.g., a device assisted charging data record (CDR)) and a communication protocol (e.g., 3GPP, 3GPP2, or other communication protocols) that can be used by other network devices to augment or replace network generated service usage information for the one or more devices in wireless communication on the wireless network.
Description
BACKGROUND OF THE INVENTION

With the advent of mass market digital communications and content distribution, many access networks such as wireless networks, cable networks and DSL (Digital Subscriber Line) networks are pressed for user capacity, with, for example, EVDO (Evolution-Data Optimized), HSPA (High Speed Packet Access), LTE (Long Term Evolution), WiMax (Worldwide Interoperability for Microwave Access), and Wi-Fi (Wireless Fidelity) wireless networks increasingly becoming user capacity constrained. Although wireless network capacity will increase with new higher capacity wireless radio access technologies, such as MIMO (Multiple-Input Multiple-Output), and with more frequency spectrum being deployed in the future, these capacity gains are likely to be less than what is required to meet growing digital networking demand.


Similarly, although wire line access networks, such as cable and DSL, can have higher average capacity per user, wire line user service consumption habits are trending toward very high bandwidth applications that can quickly consume the available capacity and degrade overall network service experience. Because some components of service provider costs go up with increasing bandwidth, this trend will also negatively impact service provider profits.





BRIEF DESCRIPTION OF THE DRAWINGS

Various embodiments are disclosed in the following detailed description and the accompanying drawings.



FIGS. 1A, 1B, and 1C illustrate a wireless network architecture for providing device assisted CDR creation, aggregation, mediation and billing in accordance with some embodiments.



FIGS. 2A, 2B, and 2C illustrate another wireless network architecture for providing device assisted CDR creation, aggregation, mediation and billing in accordance with some embodiments.



FIG. 3 illustrates another wireless network architecture for providing device assisted CDR creation, aggregation, mediation and billing in accordance with some embodiments.



FIG. 4 illustrates provisioning of a wireless network for providing device assisted CDR creation, aggregation, mediation and billing in accordance with some embodiments.



FIG. 5 illustrates a network architecture for providing device assisted CDRs in accordance with some embodiments.



FIG. 6 illustrates another network architecture for providing device assisted CDRs in accordance with some embodiments.



FIG. 7 illustrates another network architecture for providing device assisted CDRs in accordance with some embodiments.



FIG. 8 illustrates another network architecture for providing device assisted CDRs in accordance with some embodiments.



FIG. 9 is a functional diagram illustrating a device based service processor and a service controller in accordance with some embodiments.



FIGS. 10A and 10B provide a table summarizing various service processor functional elements in accordance with some embodiments.



FIGS. 11A and 11B provide a table summarizing various service controller functional elements in accordance with some embodiments.



FIG. 12 illustrates a device stack providing various service usage measurement from various points in the networking stack for a service monitor agent, a billing agent, and an access control integrity agent to assist in verifying the service usage measures and billing reports in accordance with some embodiments.



FIG. 13 illustrates an embodiment similar to FIG. 12 in which some of the service processor is implemented on the modem and some of the service processor is implemented on the device application processor in accordance with some embodiments.



FIGS. 14A through 14E illustrate various embodiments of intermediate networking devices that include a service processor for the purpose of verifiable service usage measurement, reporting, and billing reports in accordance with some embodiments.



FIG. 15 illustrates a wireless network architecture for providing device assisted CDR creation, aggregation, mediation and billing including a proxy server in accordance with some embodiments.





DETAILED DESCRIPTION

The invention can be implemented in numerous ways, including as a process; an apparatus; a system; a composition of matter; a computer program product embodied on a computer readable storage medium; and/or a processor, such as a processor configured to execute instructions stored on and/or provided by a memory coupled to the processor. In this specification, these implementations, or any other form that the invention may take, may be referred to as techniques. In general, the order of the steps of disclosed processes may be altered within the scope of the invention. Unless stated otherwise, a component such as a processor or a memory described as being configured to perform a task may be implemented as a general component that is temporarily configured to perform the task at a given time or a specific component that is manufactured to perform the task. As used herein, the term ‘processor’ refers to one or more devices, circuits, and/or processing cores configured to process data, such as computer program instructions.


A detailed description of one or more embodiments of the invention is provided below along with accompanying figures that illustrate the principles of the invention. The invention is described in connection with such embodiments, but the invention is not limited to any embodiment. The scope of the invention is limited only by the claims and the invention encompasses numerous alternatives, modifications and equivalents. Numerous specific details are set forth in the following description in order to provide a thorough understanding of the invention. These details are provided for the purpose of example and the invention may be practiced according to the claims without some or all of these specific details. For the purpose of clarity, technical material that is known in the technical fields related to the invention has not been described in detail so that the invention is not unnecessarily obscured.


There are many new types of digital devices where it is becoming desirable, for example, to connect these devices to wireless networks including wireless wide area networks (WWAN, such as 3G and 4G) and/or wireless local area (WLAN) networks. These devices include, for example, consumer electronics devices, business user devices, and machine to machine devices that benefit from flexible wide area data connections and the Internet. Example devices include netbooks, notebooks, mobile Internet devices, personal navigation (e.g., GPS enabled) devices, music and multimedia players, eReaders, industrial telemetry, automotive emergency response and diagnostics, 2-way home and industrial power metering and control, vending machines, parking meters, and many other devices. For example, it is highly advantageous to offer service usage and service billing plans for such devices that are more optimal for each type of device and each type of desired user experience. To accomplish this, more sophisticated service usage measuring and service usage billing systems are needed as compared to the conventional network based techniques in existence today. By providing more flexibility in service measurement and billing, more advantageous and cost effective service plans can be created for, for example, the new WWAN connected devices cited above for all three markets (e.g., consumer, business and machine to machine) that still maintain the necessary profit margins for the WWAN carriers to be successful with these various service businesses.


Accordingly, various embodiments disclosed herein provide for a new and flexible augmentation or replacement for existing carrier network service usage measurement, service usage accounting, and service usage billing systems and techniques.


In some embodiments, network user capacity is increased and user service costs are reduced by managing and billing for service consumption in a more refined manner (e.g., to satisfy network neutrality requirements). By managing service consumption in a user friendly manner, the overall service capacity required to satisfy the user device needs can be tailored more closely to the needs of a given user thereby reducing user service costs and increasing service provider profits. For example, managing service usage while maintaining user satisfaction includes service usage policy implementation and policy management to identify, manage and bill for service usage categories, such as total traffic consumption, content downloads, application usage, information or content subscription services, electronic commerce transactions, people or asset tracking services or machine to machine networking services. As described herein, service activity is used to refer to any service usage or traffic usage that can be associated with, for example, an application; a network communication end point, such as an address, uniform resource locator (URL) or other identifier with which the device is communicating; a traffic content type; a transaction where content or other material, information or goods are transacted, purchased, reserved, ordered or exchanged; a download, upload or file transfer; email, text, SMS, IMS or other messaging activity or usage; VOIP services; video services; a device usage event that generates a billing event; service usage associated with a bill by account activity (also referred to as billing by account) as described herein; device location; device service usage patterns, device user interface (UI) discovery patterns, content usage patterns or other characterizations of device usage; or other categories of user or device activity that can be identified, monitored, recorded, reported, controlled or processed in accordance with a set of verifiable service control policies. As will be apparent to one of ordinary skill in the art in view of the embodiments described herein, some embodiments identify various service activities for the purpose of decomposing overall service usage into finer sub-categories of activities that can be verifiably monitored, categorized, cataloged, reported, controlled, monetized and used for end user notification in a manner that results in superior optimization of the service capabilities for various levels of service cost or for various types of devices or groups. In some embodiments, it will be apparent to one of ordinary skill in the art that the terms service activity or service usage are associated with categorizing and possibly monitoring or controlling data traffic, application usage, communication with certain network end points, or transactions, and it will also be apparent that in some embodiments the term service activity is intended to include one or more of the broader aspects listed above. The shortened term service usage can be used interchangeably with service activity, but neither term is intended in general to exclude any aspect of the other. In some cases, where the terms service usage or service activity are used, more specific descriptors such as traffic usage, application usage, website usage, and other service usage examples are also used to provide more specific examples or focus in on a particular element of the more encompassing terms.


A charging data record (CDR) is a term that as used herein defines a formatted measure of device service usage information, typically generated by one or more network functions that supervise, monitor, and/or control network access for the device. CDRs typically form the basis for recording device network service usage, and often form the basis for billing for such usage. Various embodiments are provided herein for device assisted CDR creation, mediation, and billing. There are many limitations to the capabilities of service usage recording, aggregation and/or billing when CDRs are generated exclusively by network based functions or equipment. Accordingly, by either augmenting network based service usage measures with device based service usage measures, or by replacing network based service usage measures with device based service usage measures, it is possible to create a CDR generation, aggregation, mediation and/or billing solution that has superior or more desirable capabilities/features. While in theory, many of the service usage measures that can be evaluated on a device can also be evaluated in the network data path using various network equipment technologies including but not limited to deep packet inspection (DPI), there are many examples where measuring service usage at the device is either more desirable or more practical, or in some cases it is the only way to obtain the desired measure. Such examples include but are not limited to the following:

    • Application layer service usage measures (e.g., traffic usage categorized by application or by combinations of application, destination, and/or content type);
    • Usage measures that do not involve user traffic but instead involve network overhead traffic (e.g., basic connection maintenance traffic, signaling traffic, network logon/AAA/authentication/monitoring traffic, service software update traffic);
    • Usage that is associated with services that are charged to another entity other than the end user (e.g., basic network connection service offer traffic, traffic associated with providing network access to or downloading service marketing information, traffic associated with advertiser sponsored services, traffic associated with content provider sponsored services, 911 service traffic);
    • Usage measures involving encrypted traffic (e.g., traffic that is run over encrypted networking protocols or between secure end points);
    • Implementing service usage measure collection and/or service usage billing across multiple networks that may have different and in some cases incompatible, inaccessible (to the CDR system of record) or incomplete service usage measurement capabilities;
    • Service usage measurement and/or service usage billing capabilities that are not supported by the present network gateways, routers, MWC/HLRs, AAA, CDR aggregation, CDR mediation, billing and/or provisioning systems;
    • New service usage measures and/or new service usage billing capabilities that are desirable to implement in a manner that does not require major changes or upgrades to the existing network gateways, routers, MWC/HLRs, AAA, CDR aggregation, CDR mediation, billing and/or provisioning systems;
    • New service usage measures and/or new service usage billing capabilities that are desirable to implement in a manner that allows for rapid definition and implementation of new service measures and/or billing plans;
    • New service usage measures and/or new service usage billing capabilities that are desirable to implement in a manner that may be implemented in a manner that enables multiple device group definitions in which each device group gets a customized programmable definition for service usage collection, accounting and/or billing;
    • Multi device billing;
    • Multi user billing;
    • Intermediate device billing with single user and multi user with and without multi device;
    • Content downloads from a specific source to a specific application with the content being of a specific type or even identified down to a particular content ID; and/or
    • Various other single event transactions used for billing purposes.


      For these and other reasons, it is desirable to provide a system/process that utilizes device assisted service usage measures that provides either an enhancement of existing network based service usage CDR system capabilities and techniques and/or a replacement for network based CDR system capabilities and techniques.


In some embodiments, techniques, such as a system and/or process, that utilize device assisted service usage measures include one or more of the following: (1) receiving a service usage measure from a device in communication with a wireless network, (2) verifying or protecting the validity of the service usage measure, (3) generating a CDR based on the service usage measure (e.g., device assisted CDR), (4) aggregating CDRs, and (5) mediating the CDR with network CDRs. In some embodiments, the techniques also include providing a design and provisioning of devices/network equipment to recognize the CDRs. In some embodiments, the techniques also include provisioning to recognize that the device belongs to a Device Assisted Services (DAS) device group and that corresponding CDRs should be accepted and mediated. In some embodiments, the device assisted CDRs are also generated using formats, network communications protocols, network device authentication and/or provisioning to allow device assisted CDRs into the network CDR system, encryption, and/or signatures as required by the network (e.g., to comply with network generated CDR requirements or based on any other network and/or service provider requirements and/or standards).


In some embodiments, mediation rules include multi device, multi user, single user devices, and/or intermediate networking devices that can be single user or multi user, as described herein.


In some embodiments, a device assisted CDR generator collects device based service usage measures that are used as the basis for, or as an enhancement (e.g., as a supplement or in addition) to, one or more (e.g., network generated) CDRs that provide one or more networking functions with properly formatted service usage reports that the network function(s) accepts as being transmitted from an authorized source, read, and utilized for helping to determine the service usage of a device or group of devices. In some embodiments, the network functions that the device assisted CDR generator shares CDRs with typically include one or more of the following: service usage/CDR aggregation and/or mediation servers, gateways, routers, communication nodes, Mobile Wireless Centers (MWCs, including HLRs), databases, AAA systems, billing interfaces, and billing systems. For example, the process of CDR creation in the CDR generator typically includes either using one or more device based measures of service usage, or one or more device based measures of service usage in combination with one or more network based measures of service usage, possibly processing one or more of such service usage measures according to a set of CDR creation, CDR aggregation, and/or CDR mediation rules to arrive at a final device usage measure that is, for example, then formatted with the proper syntax, framed, possibly encrypted and/or signed, and encapsulated in a communication protocol or packet suitable for sharing with network functions. In some embodiments, the CDR generator resides in the device. In some embodiments, the CDR generator resides in a network server function that receives the device assisted service usage measures, along with possibly network based usage measures, and then creates a CDR (e.g., in the service controller 122).


In some embodiments, the device assisted CDR generator can reside in the service processor (e.g., service processor 115), for example, in the service usage history or billing server functions. In some embodiments, the device assisted CDR generator resides in the device itself, for example, within the service processor functions, such as the billing agent or the service monitor agent.


There are several factors that are considered in the various embodiments in order to create a useful, reliable, and secure device assisted CDR system, including, for example, but not limited to:

    • Identification of each device based service usage measure with one or more usage transaction codes;
    • Verification of the device based usage measure(s);
    • Secure communication of the device based usage measures to the network;
    • Efficient (e.g., low bandwidth) communication of the device based service usage measure;
    • Coordination/comparison/aggregation of the device based service usage measure with network based service usage measure(s);
    • Formatting the device based service usage measure into a CDR that can be properly communicated to the network functions and/or equipment that process service usage information;
    • Causing the network based functions and/or equipment used for CDR collection, aggregation, mediation and/or billing to recognize, authorize, and accept communications and CDRs from the device assisted CDR generator, reading and properly implementing the correct network session context for the CDR so that the CDR is properly associated with the correct device/user/session;
    • Implementing the CDR aggregation rules that determine how to collect and aggregate the device assisted CDRs as they are reported through the network CDR system hierarchy;
    • Implementing the mediation rules that determine how the various device based service usage transaction code measures are combined and mediated with the other device based service usage transaction code measures to result in consistent service usage information for each of the transaction code categories maintained in the network;
    • Implementing the mediation rules that determine how the device assisted CDRs are combined and mediated with network based CDRs to result in consistent service usage information for each of the transaction code categories maintained in the network;
    • Implementing mediation rules to reconcile the variances between network based CDR usage measures and device assisted CDR usage measures;
    • Classification of one or more device groups, with each group having the capability to uniquely define the service usage collection, accounting, and/or billing rules;
    • Collecting CDRs generated on networks other than the home network so that service usage may be measured, accounted for, and/or billed for across multiple networks;
    • Multi device billing;
    • Multi user billing; and/or
    • Intermediate device billing with single user and multi user with and without multi device.


In some embodiments, verification of the relative accuracy of the device assisted service usage measure is provided. Given that, for example, the service usage measure is often being generated on an end user device or a device that is readily physically accessed by the general public or other non-secure personnel from a network management viewpoint, in some embodiments, the device agents used in one or more of the service processor 115 agents are protected from hacking, spoofing, and/or other misuse. Various techniques are provided herein for protecting the integrity of the agents used for generating the device assisted service usage measures.


In some embodiments, the service usage measures are verified by network based cross checks using various techniques. For example, network based cross checks can provide valuable verification techniques, because, for example, it is generally not possible or at least very difficult to defeat well designed network based cross checks using various techniques, such as those described herein, even if, for example, the measures used to protect the device agents are defeated or if no device protection measures are employed. In some embodiments, network based cross checks used to verify the device assisted service usage measures include comparing network based service usage measures (e.g., CDRs generated by service usage measurement apparatus in the network equipment, such as the base stations (BTS/BSCs) 125A, 125B, 125E, 125F, and 125G, RAN Gateways 410, Transport Gateways 420, Mobile Wireless Center/HLRs 132, AAA 121, Service Usage History/CDR Aggregation, Mediation, Feed 118, or other network equipment), sending secure query/response command sequences to the service processor 115 agent(s) involved in device assisted CDR service usage measurement or CDR creation, sending test service usage event sequences to the device and verifying that the device properly reported the service usage, and using various other techniques, such as those described herein with respect to various embodiments.


In some embodiments, one or more of the following actions are taken if the device based service usage measure is found to be in error or inaccurate: bill the user for usage overage or an out of policy device, suspend the device, quarantine the device, SPAN the device, and/or report the device to a network administration function or person.


In some embodiments, the CDR syntax used to format the device assisted service usage information into a CDR and/or network communication protocols for transmitting CDRs are determined by industry standards (e.g., various versions of 3GPP TS 32.215 format and 3GPP2 TSG-X X.S0011 or TIA-835 format). In some embodiments, for a given network implementation the network designers will specify modifications of the standard syntax, formats and/or network communication/transmission protocols. In some embodiments, for a given network implementation the network designers will specify syntax, formats, and/or network communication/transmission protocols that are entirely different than the standards.


In some embodiments, within the syntax and formatting for the CDR the device assisted service usage is typically categorized by a transaction code. For example, the transaction code can be similar or identical to the codes in use by network equipment used to generate CDRs, or given that the device is capable of generating a much richer set of service usage measures, the transaction codes can be a superset of the codes used by network equipment used to generate CDRs (e.g., examples of the usage activities that can be labeled as transaction codes that are more readily supported by device assisted CDR systems as compared to purely network based CDR systems are provided herein).


In some embodiments, the device sends an identifier for a usage activity tag, an intermediate server determines how to aggregate into CDR transaction codes and which CDR transaction code to use.


In some embodiments, the device service processor 115 compartmentalizes usage by pre-assigned device activity transaction codes (e.g., these can be sub-transactions within the main account, transactions within a given bill-by-account transaction or sub-transactions within a bill-by-account transaction). The device implements bill-by-account rules to send different usage reports for each bill-by-account function. In some embodiments, the service controller 122 programs the device to instruct it on how to compartmentalize these bill-by-account service usage activities so that they can be mapped to a transaction code.


In some embodiments, the device reports less compartmentalized service usage information and the service controller 122 does the mapping of service usage activities to CDR transaction codes, including in some cases bill-by-account codes.


In some embodiments, the CDR sent to 118 or other network equipment, for example, can include various types of transaction codes including but not limited to a raw device usage CDR, a bill-by-account (e.g., a sub-activity transaction code) CDR, a billing offset CDR, and/or a billing credit CDR. For example, the decision logic (also referred to as business rules or CDR aggregation and mediation rules) that determines how these various types of CDR transaction codes are to be aggregated and mediated by the core network and the billing system can be located in the network equipment (e.g., a network element, such as service usage 118), in the service controller 122, and/or in the billing system 123.


In some embodiments, the device assisted CDR generator uses the device assisted service usage measures to generate a CDR that includes service usage information, service usage transaction code(s), and, in some embodiments, network information context. In some embodiments, the service usage information, transaction code, and/or network information context is formatted into communication framing, syntax, encryption/signature, security and/or networking protocols that are compatible with the formatting used by conventional networking equipment to generate CDRs. For example, this allows networking equipment used for CDR collection, recording, aggregation, mediation, and/or conversion to billing records to properly accept, read, and interpret the CDRs that are generated with the assistance of device based service usage measurement. In some embodiments, the device assisted service measures are provided to an intermediate network server referred to as a service controller (e.g., service controller 122). In some embodiments, the service controller uses a CDR feed aggregator for a wireless network to collect device generated usage information for one or more devices on the wireless network; and provides the device generated usage information in a syntax (e.g., charging data record (CDR)), and a communication protocol (e.g., 3GPP or 3GPP2, or other communication protocol(s)) that can be used by the wireless network to augment or replace network generated usage information for the one or more devices on the wireless network.


In some embodiments, mediation rules include multi device, multi user, single user devices, intermediate networking devices that can be single user or multi user. For example, the device assisted CDRs can be formatted by the device assisted CDR generator to include a transaction code for one user account, even though the CDRs originate from multiple devices that all belong to the same user. This is an example for a multi-user device assisted CDR billing solution. In another example for a multi-user device assisted CDR billing solution, device assisted CDRs from multiple devices and multiple users can all be billed to the same account (e.g., a family plan or a corporate account), but the bill-by-account CDR transaction records can be maintained through the billing system so that sub-account visibility is provided so that the person or entity responsible for the main account can obtain visibility about which users and/or devices are creating most of the service usage billing. For example, this type of multi-user, multi-device device assisted CDR billing solution can also be used to track types of service usage and/or bill for types of service usage that are either impossible or at least very difficult to account and/or bill for with purely network based CDR systems. In some embodiments, bill-by-account CDR transaction records can be used to provide sponsored transaction services, account for network chatter, provide service selection interfaces, and other services for multi-user or multi-device service plans.


In addition to conventional single user devices (e.g., cell phones, smart phones, netbooks/notebooks, mobile internet devices, personal navigation devices, music players, electronic eReaders, and other single user devices) device assisted service usage measurement and CDRs are also useful for other types of network capable devices and/or networking devices, such as intermediate networking devices (e.g., 3G/4G WWAN to WLAN bridges/routers/gateways, femto cells, DOCSIS modems, DSL modems, remote access/backup routers, and other intermediate network devices). For example, in such devices, particularly with a secure manner to verify that the device assisted service usage measures are relatively accurate and/or the device service processor 115 software is not compromised or hacked, many new service provider service delivery and billing models can be supported and implemented using the techniques described herein. For example, in a WiFi to WWAN bridge or router device multiple user devices can be supported with the same intermediate networking device in a manner that is consistent and compatible with the central provider's CDR aggregation and/or billing system by sending device assisted CDRs as described herein that have a service usage and/or billing code referenced to the end user and/or the particular intermediate device.


In some embodiments, the device assisted CDRs generated for the intermediate networking device are associated with a particular end user in which there can be several or many end users using the intermediate networking device for networking access, and in some embodiments, with each end user being required to enter a unique log-in to the intermediate networking device. For example, in this way, all devices that connect using WiFi to the intermediate networking device to get WWAN access generate CDRs can either get billed to a particular end user who is responsible for the master account for that device, or the CDRs can get billed in a secure manner, with verified relative usage measurement accuracy to multiple end users from the same intermediate networking device. In another example, an end user can have one account that allows access to a number of intermediate networking devices, and each intermediate networking device can generate consistent device assisted CDRs with transaction codes for that end user regardless of which intermediate networking device the end user logs in on.


In some embodiments, some of the services provided by the intermediate networking device are billed to a specific end user device assisted CDR transaction code, while other bill-by-account services are billed to other transaction code accounts, such as sponsored partner transaction service accounts, network chatter accounts, sponsored advertiser accounts, and/or service sign up accounts. For example, in this manner, various embodiments are provided in which intermediate networking devices (e.g., a WWAN to WiFi router/bridge) can sold to one user but can service and be used to bill other users (e.g., and this can be covered in the first purchasing user's service terms perhaps in exchange for a discount), or such intermediate networking devices can be located wherever access is desired without concern that the device will be hacked into so that services can be acquired without charge.


In some embodiments, various types of service usage transactions are billed for on the intermediate networking device, to any of one or more users, in which the information required to bill for such services is not available to the central provider or MVNO network equipment, just as is the case with, for example, conventional single user devices. In view of the various embodiments and techniques described herein, those skilled in the art will appreciate that similar service models are equally applicable not just to WWAN to WiFi intermediate networking devices, but also to the Femto Cell, remote access router, DOCSIS, DSL and other intermediate WWAN to WiFi networking devices.



FIG. 1 illustrates a wireless network architecture for providing device assisted CDR creation, aggregation, mediation and billing in accordance with some embodiments. As shown, FIG. 1 includes a 4G/3G/2G wireless network operated by, for example, a central provider. As shown, various wireless devices 100 are in communication with base stations 125A and 125B for wireless network communication with the wireless network, and other devices 100 are in communication with Wi-Fi Access Points (APs) or Mesh 702 for wireless communication to Wi-Fi Access CPE 704 in communication with central provider access network 109. In some embodiments, each of the wireless devices 100 includes a service processor 115 (as shown), and each service processor connects through a secure control plane link to a service controller 122. In some embodiments, the network based service usage information (e.g., CDRs) is obtained from one or more network elements. As shown, an MVNO core network 210 also includes a CDR storage, aggregation, mediation, feed 118, a MVNO billing interface 127, and a MVNO billing system 123 (and other network elements as shown in FIG. 1).


As shown in FIG. 1, a CDR storage, aggregation, mediation, feed 118 (e.g., service usage 118, including a billing aggregation data store and rules engine) is a functional descriptor for, in some embodiments, a device/network level service usage information collection, aggregation, mediation, and reporting function located in one or more of the networking equipment components attached to one or more of the sub-networks shown in FIG. 1 (e.g., central provider access network 109 and/or central provider core network 110), which is in communication with the service controller 122, and a central billing interface 127. As shown in FIG. 1, service usage 118 is shown as a function in communication with the central provider core network 110. In some embodiments, the CDR storage, aggregation, mediation, feed 118 function is located elsewhere in the network or partially located in elsewhere or integrated with as part of other network elements. In some embodiments, CDR storage, aggregation, mediation, feed 118 functionality is located or partially located in the AAA server 121 and/or the mobile wireless center/Home Location Register (HLR) 132 (as shown, in communication with a DNS/DHCP server 126). In some embodiments, service usage 118 functionality is located or partially located in the base station, base station controller and/or base station aggregator, collectively referred to as base stations 125A and 125B in FIG. 1. In some embodiments, CDR storage, aggregation, mediation, feed 118 functionality is located or partially located in a networking component in the central provider access network 109, a networking component in the core network 110, the central billing system 123, the central billing interface 127, and/or in another network component or function. This discussion on the possible locations for the network based and device based service usage information collection, aggregation, mediation, and reporting function (e.g., CDR storage, aggregation, mediation, feed 118) can be easily generalized as described herein and as shown in the other figures described herein by one of ordinary skill in the art. Also as shown in FIG. 1, the service controller 122 is in communication with the central billing interface 123 (also sometimes referred to as the external billing management interface or billing communication interface) 127, which is in communication with the central billing system 123. As shown, an order management 180 and subscriber management 182 are also in communication with the central provider core network 110 for facilitating order and subscriber management of services for the devices 100 in accordance with some embodiments.


In some embodiments, the CDR storage, aggregation, mediation, feed 118 (and/or other network elements or combinations of network elements) provides a device/network level service usage information collection, aggregation, mediation, and reporting function. In some embodiments, the CDR storage, aggregation, mediation, feed 118 (and/or other network elements or combinations of network elements) collects device generated usage information for one or more devices on the wireless network (e.g., devices 100); and provides the device generated usage information in a syntax and a communication protocol that can be used by the wireless network to augment or replace network generated usage information for the one or more devices on the wireless network. In some embodiments, the syntax is a charging data record (CDR), and the communication protocol is selected from one or more of the following: 3GPP, 3GPP2, or other communication protocols. In some embodiments, the CDR storage, aggregation, mediation, feed 118 (and/or other network elements or combinations of network elements) includes a service usage data store (e.g., a billing aggregator) and a rules engine for aggregating the collected device generated usage information. In some embodiments, the syntax is a charging data record (CDR), and the network device is a CDR feed aggregator, and the CDR storage, aggregation, mediation, feed 118 (and/or other network elements or combinations of network elements) also aggregates CDRs for the one or more devices on the wireless network; applies a set of rules to the aggregated CDRs using a rules engine (e.g., bill by account, transactional billing, and/or any other billing or other rules for service usage information collection, aggregation, mediation, and reporting), and communicates a new set of CDRs for the one or more devices on the wireless network to a billing interface or a billing system (e.g., providing a CDR with a billing offset by account/service). In some embodiments, the CDR storage, aggregation, mediation, feed 118 (and/or other network elements or combinations of network elements) communicates a new set of CDRs for the one or more devices on the wireless network to a billing interface or a billing system. In some embodiments, the CDR storage, aggregation, mediation, feed 118 (and/or other network elements or combinations of network elements) communicates with a service controller to collect the device generated usage information for the one or more devices on the wireless network. In some embodiments, the CDR storage, aggregation, mediation, feed 118 (and/or other network elements or combinations of network elements) communicates with a service controller, in which the service controller is in communication with a billing interface or a billing system. In some embodiments, the CDR storage, aggregation, mediation, feed 118 (and/or other network elements or combinations of network elements) communicates the device generated usage information to a billing interface or a billing system. In some embodiments, the CDR storage, aggregation, mediation, feed (and/or other network elements or combinations of network elements) communicates with a transport gateway and/or a Radio Access Network (RAN) gateway to collect the network generated usage information for the one or more devices on the wireless network. In some embodiments, the service controller 122 communicates the device generated service usage information to the CDR storage, aggregation, mediation, feed 118 (and/or other network elements or combinations of network elements).


In some embodiments, the CDR storage, aggregation, mediation, feed 118 (and/or other network elements or combinations of network elements) performs rules for performing a bill by account aggregation and mediation function. In some embodiments, the service controller 122 in communication with the CDR storage, aggregation, mediation, feed 118 (and/or other network elements or combinations of network elements) performs a rules engine for aggregating and mediating the device generated usage information. In some embodiments, a rules engine device in communication with the CDR storage, aggregation, mediation, feed 118 (and/or other network elements or combinations of network elements) performs a rules engine for aggregating and mediating the device generated usage information.


In some embodiments, the rules engine is included in (e.g., integrated with/part of) the CDR storage, aggregation, mediation, feed 118. In some embodiments, the rules engine and associated functions, as described herein, is a separate function/device. In some embodiments, the service controller 122 performs some or all of these rules engine based functions, as described herein, and communicates with the central billing interface 127. In some embodiments, the service controller 122 performs some or all of these rules engine based functions, as described herein, and communicates with the central billing system 123.


In some embodiments, duplicate CDRs are sent from the network equipment to the billing system 123 that is used for generating service billing. In some embodiments, duplicate CDRs are filtered to send only those CDRs/records for devices controlled by the service controller and/or service processor (e.g., the managed devices). For example, this approach can provide for the same level of reporting, lower level of reporting, and/or higher level of reporting as compared to the reporting required by the central billing system 123.


In some embodiments, a bill-by-account billing offset is provided. For example, bill-by-account billing offset information can be informed to the central billing system 123 by providing a CDR aggregator feed that aggregates the device based service usage data feed to provide a new set of CDRs for the managed devices to the central billing interface 127 and/or the central billing system 123. In some embodiments, transaction billing is provided using similar techniques. For example, transaction billing log information can be provided to the central billing interface 127 and/or the central billing system 123.


In some embodiments, the rules engine (e.g., performed by the service usage 118 or another network element, as described herein) provides a bill-by-account billing offset. For example, device generated usage information (e.g., charging data records (CDRs)) includes a transaction type field (e.g., indicating a type of service for the associated service usage information). The rules engine can apply a rule or a set of rules based on the identified service associated with the device generated usage information to determine a bill-by-account billing offset (e.g., a new CDR can be generated to provide the determined bill-by-account billing offset). In some examples, the determined bill-by-account billing offset can be provided as a credit to the user's service usage account (e.g., a new CDR can be generated with a negative offset for the user's service usage account, such as for network chatter service usage, or transactional service usage, or for any other purposes based on one or more rules performed by the rules engine).


As another example, for a transactional service, a first new CDR can be generated with a negative offset for the user's service usage account for that transactional service related usage, and a second new CDR can be generated with a positive service usage value to charge that same service usage to the transactional service provider (e.g., Amazon, eBay, or another transactional service provider). In some embodiments, the service controller 122 generates these two new CDRs, and the service usage 118 stores, aggregates, and communicates these two new CDRs to the central billing interface 127. In some embodiments, the service controller 122 generates these two new CDRs, and the service usage 118 stores, aggregates, and communicates these two new CDRs to the central billing interface 127, in which the central billing interface 127 applies rules (e.g., performs the rules engine for determining the bill-by-account billing offset).


In some embodiments, the service controller 122 sends the device generated CDRs to the rules engine (e.g., service usage 118), and the rules engine applies one or more rules, such as those described herein and/or any other billing/service usage related rules as would be apparent to one of ordinary skill in the art. In some embodiments, the service controller 122 generates CDRs similar to other network elements, and the rules (e.g., bill-by-account) are performed in the central billing interface 127. For example, for the service controller 122 to generate CDRs similar to other network elements, in some embodiments, the service controller 122 is provisioned on the wireless network and behaves substantially similar to other CDR generators on the network) as would be apparent to one of ordinary skill in the art.


In some embodiments, the service controller 122 is provisioned as a new type of networking function that is recognized as a valid and secure source for CDRs by the other necessary elements in the network (e.g., the Service Usage History/CDR Aggregation and Mediation Server 118). In some embodiments, in which the network apparatus typically only recognize CDRs from certain types of networking equipment (e.g., RAN Gateway 410 or Transport Gateway 420 (as shown in FIG. 3)), then the Service Controller 122 can provide authentication credentials to the other networking equipment that indicate it is one of the approved types of equipment (e.g., for purposes of generating/providing CDRs). In some embodiments, the link between the Service Controller 122 and the necessary CDR aggregation and mediation equipment is secured, authenticated, encrypted and/or signed.


In some embodiments, the CDR storage, aggregation, mediation, feed 118 discards the network based service usage information (e.g., network based CDRs) received from one or more network elements. In these embodiments, the service controller 122 can provide the device based service usage information (e.g., device based CDRs) to the CDR storage, aggregation, mediation, feed 118 (e.g., the CDR storage, aggregation, mediation, feed 118 can just provide a store, aggregate, and communication function(s)), and the device based service usage information is provided to the central billing interface 127 or the central billing system 123.


In some embodiments, the device based CDRs and/or new CDRs generated based on execution of a rules engine as described herein is provided only for devices that are managed and/or based on device group, service plan, or any other criteria, categorization, and/or grouping.



FIG. 2 illustrates another wireless network architecture for providing device assisted CDR creation, aggregation, mediation and billing in accordance with some embodiments. As shown in FIG. 2, some devices 100 are in communication with DOCSIS Head End 125C and some devices 100 are in communication with DSLAM 125D, which are in communication with the central provider access network 109.



FIG. 3 illustrates another wireless network architecture for providing device assisted CDR creation, aggregation, mediation and billing in accordance with some embodiments. Referring now to the 4G/3G/2G access network as shown in FIG. 3, the 4G/3G and 3G/2G base stations/nodes 125E and 125F are in communication with a 4G/3G/2G Radio Access Network (RAN) gateway 410 via a radio access network 405, which are in communication with a 4G/3G/2G transport gateway 420 via an access transport network 415. The central provider core network 110 is in network communication with the access transport network 415 (e.g., via a dedicated/leased line, and as shown, via a firewall 124). The Internet 120 is available via a firewall 124 and the transport gateway(s) 420, as shown. Also, as shown, a network apparatus provisioning system 160, order management 180, and subscriber management 182 are in communication with the central provider core network 110. As shown, a AAA server 121, a mobile wireless center/Home Location Register (HLR) 132, a DNS/DHCP 126, and CDR storage, aggregation, mediation, feed 118 are also in communication with the access transport network 415. The central billing system 123 and the central billing interface 127 are shown in communication with the central provider core network 110.


As shown, FIG. 3 includes a 4G/3G/2G wireless network operated by, for example, a central provider. In some embodiments, each of the wireless devices 100 includes a service processor 115 (as shown), and each service processor connects through a secure control plane link to a service controller 122. In some embodiments, the network based service usage information (e.g., network generated CDRs) is obtained from Radio Access Network (RAN) gateway(s) 410 and/or transport gateway(s) 420. In some embodiments, device based service usage information (e.g., device assisted CDRs) are generated by the service processor 115 and/or service controller 122 for some or all of the wireless devices 100 using similar techniques as described herein, and in some embodiments, such device based service usage information (e.g., device assisted CDRs) is sent to the CDR storage, aggregation, mediation, feed 118 (e.g., the CDR storage, aggregation, mediation, feed 118 can just provide a store, aggregate, and communication function(s)), and/or to the central billing interface 127 or the central billing system 123, as similarly described herein with respect to various embodiments.



FIG. 4 illustrates provisioning of a wireless network for providing device assisted CDR creation, aggregation, mediation and billing in accordance with some embodiments. As shown in FIG. 4, the provisioning of various network equipment is provided as shown to recognize each other as an authorized source of CDRs (e.g., this can be done manually or in an automated manner). For example, order management 180, subscriber management, billing interface 127, billing system 123, network provisioning system 160, service controller 122, access network AAA server 121, mobile wireless center 132, and CDR storage, aggregation, mediation feed 118 communicate with each other for such provisioning, which can be implemented using various techniques. In some embodiments, the various network elements are provisioned to recognize device assisted CDRs being generated by the service controller 122, which, for example, can be provided to the billing interface 127 and/or the billing system 123. In some embodiments, network generated CDRs are provided by RAN/Access gateway 410, aggregation/transport gateway 425, and/or base station controller 125G. In some embodiments, other network elements generate/receive/store device assisted CDRs.


In some embodiments, provisioning of various network equipment is provided to recognize a given device as belonging to a device group that supports a service usage and/or billing plan that relies upon and/or utilizes device assisted CDRs.


In some embodiments, the CDR formats, transaction codes, and CDR transmission destinations are programmed for each device that generates CDRs, including the service controller 122 (e.g., in some embodiments, the service controller 122 is the intermediary for CDRs) and/or service processor 115 (e.g., in some embodiments, the device sends CDRs to network CDR aggregation or billing interface 127/billing system 123 with no intermediate server function).



FIG. 5 illustrates a network architecture for providing device assisted CDRs in accordance with some embodiments. As shown, network generated CDRs are sent from various network elements to the CDR storage, aggregation, mediation, feed 118 and the service controller 122, as shown in dashed lines with arrows in FIG. 5. In some embodiments, the network generated CDRs are used for verification of device assisted service (DAS) usage and/or billing information. In some embodiments, the network generated CDRs are provided to the service controller 122, and the service controller 122 implements aggregation and/or mediation rules to examine and, in some cases, aggregate and/or mediate network generated/based CDRs with device assisted/based CDRs.


In some embodiments, device assisted CDRs are sent from the service controller 122 to CDR storage, aggregation, mediation, feed 118 and communicated to the billing system 123, as shown in solid lines with arrows in FIG. 5. In some embodiments, CDR storage, aggregation, mediation, feed 118 uses DAS service usage CDRs to augment network generated/based CDRs with bill-by-account transaction codes (e.g., as similarly described herein). In some embodiments, CDR storage, aggregation, mediation, feed 118 implements aggregation and/or mediation rules to account for DAS CDR usage amount in a new bill-by-account transaction code and removes the same service usage amount from the bulk device account transaction code. In some embodiments, a first DAS CDR is sent for the new bill by account transaction code, and a second DAS CDR is sent to be used as a correction (credit) to the main device usage account transaction code, and CDR storage, aggregation, mediation, feed 118 implements the rules to perform this mediation. In some embodiments, a first DAS CDR is used for a given bill-by-account transaction code, and a second DAS CDR is used as the main device account transaction code, in which the service controller 122 (or device) has already implemented the mediation rules so that CDR storage, aggregation, mediation, feed 118 simply passes such DAS CDRs to billing after aggregating them.



FIG. 6 illustrates another network architecture for providing device assisted CDRs in accordance with some embodiments. FIG. 6 also shows the communication of device assisted CDRs and network generated CDRs using solid and dashed lines with arrows, respectively. As shown, in some embodiments, CDR storage, aggregation, mediation, feed 118 sends network based CDRs to service controller 122 for various purposes, such as those previously described herein.


In some embodiments, service controller 122 sends DAS CDRs to billing for various uses by the billing system 123. In some embodiments, the billing system 123 uses DAS service usage CDRs to augment network based CDRs with bill-by-account transaction codes. In some embodiments, the billing system 123 implements aggregation and/or mediation rules to account for DAS CDR usage amount in a new bill-by-account transaction code and removes the same service usage amount from the bulk device account transaction code. In some embodiments, a first DAS CDR is sent for the new bill by account transaction code, and a second DAS CDR is sent to be used as a correction (credit) to the main device usage account transaction code, and the billing system 123 implements the rules to perform this mediation. In some embodiments, a first DAS CDR is used for a given bill-by-account transaction code, and a second is used as the main device account transaction code, in which the service controller 122 (or device) has already implemented the mediation rules so that the billing system 123 simply passes such DAS CDRs after aggregating them.



FIG. 7 illustrates another network architecture for providing device assisted CDRs in accordance with some embodiments. FIG. 7 also shows the communication of device assisted CDRs and network generated CDRs using solid and dashed lines with arrows, respectively. FIG. 7 is similar to FIG. 6, except as shown in FIG. 7, service usage information is passed through the billing interface 127 instead of the billing CDR aggregation interface. For example, the service usage detailed bill-by-account information and offset (credit) information can be formatted as a CDR or can be formatted in a higher level syntax as required by the billing interface 127.



FIG. 8 illustrates another network architecture for providing device assisted CDRs in accordance with some embodiments. FIG. 8 also shows the communication of device assisted CDRs and network generated CDRs using solid and dashed lines with arrows, respectively. In some embodiments, as shown in FIG. 8, the central provider need not modify the existing CDR storage, aggregation, mediation, feed 118, so the additional aggregation and mediation rules discussed above with respect to FIG. 5 are implemented as a new layer of rules in a new network function, shown as secondary DAS CDR aggregation mediation 118A, that is located between the billing system and the CDR storage, aggregation, mediation, feed 118. For example, this new network function (e.g., secondary DAS CDR aggregation mediation 118A) can reside in the network (as shown) or in the service processor 115, in the service controller 122, or elsewhere in the network or on the device.



FIG. 9 is a functional diagram illustrating a device based service processor 115 and a service controller 122 in accordance with some embodiments. For example, this provides relatively full featured device based service processor implementation and service controller implementation. As shown, this corresponds to a networking configuration in which the service controller 122 is connected to the Internet 120 and not directly to the access network 1610. As shown, a data plane (e.g., service traffic plane) communication path is shown in solid line connections and control plane (e.g., service control plane) communication path is shown in dashed line connections. As will be apparent, the division in functionality between one device agent and another is based on, for example, design choices, networking environments, devices and/or services/applications, and various different combinations can be used in various different implementations. For example, the functional lines can be re-drawn in any way that the product designers see fit. As shown, this includes certain divisions and functional breakouts for device agents as an illustrative implementation, although other, potentially more complex, embodiments can include different divisions and functional breakouts for device agent functionality specifications, for example, in order to manage development specification and testing complexity and workflow. In addition, the placement of the agents that operate, interact with or monitor the data path can be moved or re-ordered in various embodiments. For example, the functional elements shown in FIG. 9 are described below with respect to FIGS. 10 and 11.


As shown in FIG. 9, service processor 115 includes a service control device link 1691. For example, as device based service control techniques involving supervision across a network become more sophisticated, it becomes increasingly important to have an efficient and flexible control plane communication link between the device agents and the network elements communicating with, controlling, monitoring, or verifying service policy. In some embodiments, the service control device link 1691 provides the device side of a system for transmission and reception of service agent to/from network element functions. In some embodiments, the traffic efficiency of this link is enhanced by buffering and framing multiple agent messages in the transmissions. In some embodiments, the traffic efficiency is further improved by controlling the transmission frequency or linking the transmission frequency to the rate of service usage or traffic usage. In some embodiments, one or more levels of security or encryption are used to make the link robust to discovery, eavesdropping or compromise. In some embodiments, the service control device link 1691 also provides the communications link and heartbeat timing for the agent heartbeat function. As discussed below, various embodiments disclosed herein for the service control device link 1691 provide an efficient and secure solution for transmitting and receiving service policy implementation, control, monitoring and verification information with other network elements.


In some embodiments, the service control device link 1691 agent messages are transmitted asynchronously as they are generated by one or more of the service agents. In some embodiments, the service control device link 1691 performs collection or buffering of agent messages between transmissions. In some embodiments, the service control device link 1691 determines when to transmit based potentially on several parameters including, for example, one or more of the following parameters: periodic timer trigger, waiting until a certain amount of service usage or traffic usage has occurred, responding to a service controller message, responding to a service controller request, initiated by one or more agents, initiated by a verification error condition, initiated by some other error or status condition. In some embodiments, once a transmission trigger has occurred, the service control device link 1691 assembles all buffered agent communications and frames the communications.


In some embodiments, the transmission trigger is controlled by waiting for an amount of service usage, such as waiting until a certain amount of data traffic has passed, which reduces the control plane communication channel traffic usage to a fraction of the data plane traffic. For example, this approach preserves network capacity and reduces service cost even in traffic scenarios in which data traffic is light.


In some embodiments, the transmission trigger is based on waiting for an amount of service usage, and also including a minimum transmission rate that triggers a transmission according to one or more of the following parameters: a maximum time between transmissions clock to keep the service processor 115 in communication with the service controller 122 when little or no service usage is occurring, a polling request of some kind from the service controller 122, a response to a service controller heartbeat, a transmission generated by a service verification error event, or a transmission generated by some other asynchronous event with time critical service processor 115 (or service controller 122) messaging needs, such as a transaction or service billing event or a user request. For example, service control plane traffic down is reduced to a relatively inexpensive and capacity conserving trickle when device 100 data traffic is not significant. At the same time, this approach also provides an effective flow of real time or near real-time service control plane traffic that is both cost and capacity efficient, because the service control plane traffic is a relatively small percentage of the data plane traffic when data plane traffic usage is heavy. For example, when data plane traffic usage is heavy is generally the time when close monitoring of service policy implementation verification or compromise prevention can be particularly important and by keeping the control plane overhead to a fraction of data plane traffic close monitoring and control of services are maintained at a reasonable cost in terms of percentage of both bandwidth used and network capacity. In some embodiments, the service usage or service activity trigger occurs based on some other measure than traffic usage, such as a number of messages transacted, one or more billing events, number of files downloaded, number of applications run or time that an application has been running, usage of one or more specified applications, GPS coordinate changes, roaming event, an event related to another network connection to the device and/or other service related measures.


As shown in FIG. 9, the service controller 122 includes a service control server link 1638. In some embodiments, device based service control techniques involving supervision across a network (e.g., on the control plane) are more sophisticated, and for such it is increasingly important to have an efficient and flexible control plane communication link between the device agents (e.g., of the service processor 115) and the network elements (e.g., of the service controller 122) communicating with, controlling, monitoring, or verifying service policy. For example, the communication link between the service control server link 1638 of service controller 122 and the service control device link 1691 of the service processor 115 can provide an efficient and flexible control plane communication link, a service control link 1653 as shown in FIG. 9, and, in some embodiments, this control plane communication link provides for a secure (e.g., encrypted) communications link for providing secure, bidirectional communications between the service processor 115 and the service controller 122. In some embodiments, the service control server link 1638 provides the network side of a system for transmission and reception of service agent to/from network element functions. In some embodiments, the traffic efficiency of this link is enhanced by buffering and framing multiple agent messages in the transmissions (e.g., thereby reducing network chatter). In some embodiments, the traffic efficiency is further improved by controlling the transmission frequency and/or linking the transmission frequency to the rate of service usage or traffic usage. In some embodiments, one or more levels of security and/or encryption are used to secure the link against potential discovery, eavesdropping or compromise of communications on the link. In some embodiments, the service control server link 1638 also provides the communications link and heartbeat timing for the agent heartbeat function.


In some embodiments, the service control server link 1638 provides for securing, signing, encrypting and/or otherwise protecting the communications before sending such communications over the service control link 1653. For example, the service control server link 1638 can send to the transport layer or directly to the link layer for transmission. In another example, the service control server link 1638 further secures the communications with transport layer encryption, such as TCP TLS SSH version 1 or 2 or another secure transport layer protocol. As another example, the service control server link 1638 can encrypt at the link layer, such as using IPSEC, various possible VPN services, other forms of IP layer encryption and/or another link layer encryption technique.


As shown in FIG. 9, the service controller 122 includes an access control integrity server 1654. In some embodiments, the access control integrity server 1654 collects device information on service policy, service usage, agent configuration and/or agent behavior. For example, the access control integrity server 1654 can cross check this information to identify integrity breaches in the service policy implementation and control system. In another example, the access control integrity server 1654 can initiate action when a service policy violation or a system integrity breach is suspected.


In some embodiments, the access control integrity server 1654 (and/or some other agent of service controller 122) acts on access control integrity agent 1694 reports and error conditions. Many of the access control integrity agent 1654 checks can be accomplished by the server. For example, the access control integrity agent 1654 checks include one or more of the following: service usage measure against usage range consistent with policies (e.g., usage measure from the network and/or from the device); configuration of agents; operation of the agents; and/or dynamic agent download.


In some embodiments, the access control integrity server 1654 (and/or some other agent of service controller 122) verifies device service policy implementations by comparing various service usage measures (e.g., based on network monitored information, such as by using IPDRs or CDRs, and/or local service usage monitoring information) against expected service usage behavior given the policies that are intended to be in place. For example, device service policy implementations can include measuring total data passed, data passed in a period of time, IP addresses, data per IP address, and/or other measures such as location, downloads, email accessed, URLs, and comparing such measures expected service usage behavior given the policies that are intended to be in place.


In some embodiments, the access control integrity server 1654 (and/or some other agent of service controller 122) verifies device service policy, and the verification error conditions that can indicate a mismatch in service measure and service policy include one or more of the following: unauthorized network access (e.g., access beyond ambient service policy limits); unauthorized network speed (e.g., average speed beyond service policy limit); network data amount does not match policy limit (e.g., device not stop at limit without re-up/revising service policy); unauthorized network address; unauthorized service usage (e.g., VOIP, email, and/or web browsing); unauthorized application usage (e.g., email, VOIP, email, and/or web); service usage rate too high for plan, and policy controller not controlling/throttling it down; and/or any other mismatch in service measure and service policy. Accordingly, in some embodiments, the access control integrity server 1654 (and/or some other agent of service controller 122) provides a policy/service control integrity service to continually (e.g., periodically and/or based on trigger events) verify that the service control of the device has not been compromised and/or is not behaving out of policy.


As shown in FIG. 9, service controller 122 includes a service history server 1650. In some embodiments, the service history server 1650 collects and records service usage or service activity reports from the Access Network AAA Server 1621 and the Service Monitor Agent 1696. For example, although service usage history from the network elements can in certain embodiments be less detailed than service history from the device, the service history from the network can provide a valuable source for verification of device service policy implementation, because, for example, it is extremely difficult for a device error or compromise event on the device to compromise the network based equipment and software. For example, service history reports from the device can include various service tracking information, as similarly described above. In some embodiments, the service history server 1650 provides the service history on request to other servers and/or one or more agents. In some embodiments, the service history server 1650 provides the service usage history to the device service history 1618. In some embodiments, for purposes of facilitating the activation tracking service functions (described below), the service history server 1650 maintains a history of which networks the device has connected to. For example, this network activity summary can include a summary of the networks accessed, activity versus time per connection, and/or traffic versus time per connection. As another example, this activity summary can further be analyzed or reported to estimate the type of service plan associated with the traffic activity for the purpose of bill sharing reconciliation.


As shown in FIG. 9, service controller 122 includes a policy management server 1652. In some embodiments, the policy management server 1652 transmits policies to the service processor 115 via the service control link 1653. In some embodiments, the policy management server 1652 manages policy settings on the device (e.g., various policy settings as described herein with respect to various embodiments) in accordance with a device service profile. In some embodiments, the policy management server 1652 sets instantaneous policies on policy implementation agents (e.g., policy implementation agent 1690). For example, the policy management server 1652 can issue policy settings, monitor service usage and, if necessary, modify policy settings. For example, in the case of a user who prefers for the network to manage their service usage costs, or in the case of any adaptive policy management needs, the policy management server 1652 can maintain a relatively high frequency of communication with the device to collect traffic and/or service measures and issue new policy settings. In this example, device monitored service measures and any user service policy preference changes are reported, periodically and/or based on various triggers/events/requests, to the policy management server 1652. In this example, user privacy settings generally require secure communication with the network (e.g., a secure service control link 1653), such as with the policy management server 1652, to ensure that various aspects of user privacy are properly maintained during such configuration requests/policy settings transmitted over the network. For example, information can be compartmentalized to service policy management and not communicated to other databases used for CRM for maintaining user privacy.


In some embodiments, the policy management server 1652 provides adaptive policy management on the device. For example, the policy management server 1652 can issue policy settings and objectives and rely on the device based policy management (e.g., service processor 115) for some or all of the policy adaptation. This approach can require less interaction with the device thereby reducing network chatter on service control link 1653 for purposes of device policy management (e.g., network chatter is reduced relative to various server/network based policy management approaches described above). This approach can also provide robust user privacy embodiments by allowing the user to configure the device policy for user privacy preferences/settings so that, for example, sensitive information (e.g., geo-location data, website history) is not communicated to the network without the user's approval. In some embodiments, the policy management server 1652 adjusts service policy based on time of day. In some embodiments, the policy management server 1652 receives, requests or otherwise obtains a measure of network availability and adjusts traffic shaping policy and/or other policy settings based on available network capacity.


As shown in FIG. 9, service controller 122 includes a network traffic analysis server 1656. In some embodiments, the network traffic analysis server 1656 collects/receives service usage history for devices and/or groups of devices and analyzes the service usage. In some embodiments, the network traffic analysis server 1656 presents service usage statistics in various formats to identify improvements in network service quality and/or service profitability. In other embodiments, the network traffic analysis server 1656 estimates the service quality and/or service usage for the network under variable settings on potential service policy. In other embodiments, the network traffic analysis server 1656 identifies actual or potential service behaviors by one or more devices that are causing problems for overall network service quality or service cost.


As shown in FIG. 9, service controller 122 includes a beta test server 1658. In some embodiments, the beta test server 1658 publishes candidate service plan policy settings to one or more devices. In some embodiments, the beta test server 1658 provides summary reports of network service usage or user feedback information for one or more candidate service plan policy settings. In some embodiments, the beta test server 1658 provides a mechanism to compare the beta test results for different candidate service plan policy settings or select the optimum candidates for further policy settings optimization.


As shown in FIG. 9, service controller 122 includes a service download control server 1660. In some embodiments, the service download control server 1660 provides a download function to install and/or update service software elements (e.g., the service processor 115 and/or agents/components of the service processor 115) on the device, as described herein.


As shown in FIG. 9 service controller 122 includes a billing event server 1662. In some embodiments, the billing event server 1662 collects billing events, provides service plan information to the service processor 115, provides service usage updates to the service processor 115, serves as interface between device and central billing server 1619, and/or provides trusted third party function for certain ecommerce billing transactions.


As shown in FIG. 9, the Access Network AAA server 1621 is in network communication with the access network 1610. In some embodiments, the Access Network AAA server 1621 provides the necessary access network AAA services (e.g., access control and authorization functions for the device access layer) to allow the devices onto the central provider access network and the service provider network. In some embodiments, another layer of access control is required for the device to gain access to other networks, such as the Internet, a corporate network and/or a machine to machine network. This additional layer of access control can be implemented, for example, by the service processor 115 on the device. In some embodiments, the Access Network AAA server 1621 also provides the ability to suspend service for a device and resume service for a device based on communications received from the service controller 122. In some embodiments, the Access Network AAA server 1621 also provides the ability to direct routing for device traffic to a quarantine network or to restrict or limit network access when a device quarantine condition is invoked. In some embodiments, the Access Network AAA server 1621 also records and reports device network service usage (e.g., device network service usage can be reported to device service history 1618).


As shown in FIG. 9, the device service history 1618 is in network communication with the access network 1610. In some embodiments, the device service history 1618 provides service usage data records used for various purposes in various embodiments. In some embodiments, the device service history 1618 is used to assist in verifying service policy implementation. In some embodiments, the device service history 1618 is used to verify service monitoring. In some embodiments, the device service history 1618 is used to verify billing records and/or billing policy implementation. In some embodiments, the device service history 1618 is used to synchronize and/or verify the local service usage counter.


As shown in FIG. 9, the central provider billing server 1619 is in network communication with the access network 1610. In some embodiments, the central provider billing server 1619 provides a mediation function for central provider billing events. For example, the central provider billing server 1619 can accept service plan changes. In some embodiments, the central provider billing server 1619 provides updates on device service usage, service plan limits and/or service policies. In some embodiments, the central provider billing server 1619 collects billing events, formulates bills, bills service users, provides certain billing event data and service plan information to the service controller 122 and/or device 100.


As shown in FIG. 9, in some embodiments, modem selection and control 1811 selects the access network connection and is in communication with the modem firewall 1655, and modem drivers 1831, 1815, 1814, 1813, 1812 convert data traffic into modem bus traffic for one or more modems and are in communication with the modem selection and control 1811. In some embodiments, different profiles are selected based on the selected network connection (e.g., different service profiles/policies for WWAN, WLAN, WPAN, Ethernet and/or DSL network connections), which is also referred to herein as multimode profile setting. For example, service profile settings can be based on the actual access network (e.g., home DSL/cable or work network) behind the Wi-Fi not the fact that it is Wi-Fi (or any other network, such as DSL/cable, satellite, or T-1), which is viewed as different than accessing a Wi-Fi network at the coffee shop. For example, in a Wi-Fi hotspot situation in which there are a significant number of users on a DSL or T-1 backhaul, the service controller can sit in a service provider cloud or an MVNO cloud, the service controls can be provided by a VSP capability offered by the service provider or the service controller can be owned by the hotspot service provider that uses the service controller on their own without any association with an access network service provider. For example, the service processors can be controlled by the service controller to divide up the available bandwidth at the hotspot according to QoS or user sharing rules (e.g., with some users having higher differentiated priority (potentially for higher service payments) than other users). As another example, ambient services (as similarly described herein) can be provided for the hotspot for verified service processors.


In some embodiments, the service processor 115 and service controller 122 are capable of assigning multiple service profiles associated with multiple service plans that the user chooses individually or in combination as a package. For example, a device 100 starts with ambient services that include free transaction services wherein the user pays for transactions or events rather than the basic service (e.g., a news service, eReader, PND service, pay as you go session Internet) in which each service is supported with a bill by account capability to correctly account for any subsidized partner billing to provide the transaction services (e.g., Barnes and Noble may pay for the eReader service and offer a revenue share to the service provider for any book or magazine transactions purchased from the device 100). In some embodiments, the bill by account service can also track the transactions and, in some embodiments, advertisements for the purpose of revenue sharing, all using the service monitoring capabilities disclosed herein. After initiating services with the free ambient service discussed above, the user may later choose a post-pay monthly Internet, email and SMS service. In this case, the service controller 122 would obtain from the billing system 123 in the case of network based billing (or in some embodiments the service controller 122 billing event server 1622 in the case of device based billing) the billing plan code for the new Internet, email and SMS service. In some embodiments, this code is cross referenced in a database (e.g., the policy management server 1652) to find the appropriate service profile for the new service in combination with the initial ambient service. The new superset service profile is then applied so that the user maintains free access to the ambient services, and the billing partners continue to subsidize those services, the user also gets access to Internet services and may choose the service control profile (e.g., from one of the embodiments disclosed herein). The superset profile is the profile that provides the combined capabilities of two or more service profiles when the profiles are applied to the same device 100 service processor. In some embodiments, the device 100 (service processor 115) can determine the superset profile rather than the service controller 122 when more than one “stackable” service is selected by the user or otherwise applied to the device. The flexibility of the service processor 115 and service controller 122 embodiments described herein allow for a large variety of service profiles to be defined and applied individually or as a superset to achieve the desired device 100 service features.


In some embodiments, the device 100 is capable of connecting to more than one network and device service policies are potentially changed based on which network the device is connected to at the time. In some embodiments, the network control plane servers detect a network connection change and initiate the service policy implementation established for the second network. In some embodiments, the device based adaptive policy control agent, as described herein (e.g., policy control agent 1692), detects network connection changes and implements the service policies established for the second network.


In some embodiments, when more than one access network is available, the network is chosen based on which network is most preferred according to a network preference list or according to which network that optimizes a network cost function. For example, the network preference list can be pre-established by the service provide and/or the user and/or later modified/adjusted by either the service provider and/or the user. For example, the cost function can be based on determining a minimum service cost, maximum network performance, whether or not the user or device has access to the network, maximizing service provider connection benefit, reducing connections to alternative paid service providers, and/or any other cost related criteria for network selection purposes.


In some embodiments, the device 100 detects when one or more preferred networks are not available, implements a network selection function or intercepts other network selection functions, and offers a connection to the available service network that is highest on a preference list. For example, the preference list can be set by the service provider, the user and/or the service subscriber. In some embodiments, a notification is provided to the device/user when the device is not connected to a network (e.g., indicating in a pop-up/bubble or other UI based display a notification, such as “You are not connected to the network. Click here to learn more, get free trial, use a session, sign-up for service”). In some embodiments, the notification content can be determined based on usage service patterns, locally stored and/or programmable logic on the device and/or a server (e.g., device reports that user is not connected and WWAN is available). Decisions on what bubble to present when may be in pre-stored logic on device.


In some embodiments, service policies are automatically adapted based on the network to which device 100 is connected. For example, the device can be a cellular communication based device connected to a macrocell, a microcell, a picocell, or a femtocell (e.g., femto cells generally provide a low power, small area cellular network used, for example, in homes or offices, which, for example, can be used as an alternative to Wi-Fi access). In some embodiments, service monitoring agent 1696 and/or billing agent 1695 modify service usage counting and/or billing based on whether the device is connected to a macrocell, microcell, picocell or femtocell. In some embodiments, the device recognizes which type of network it is currently connecting to (e.g., looking up in a local or network table for the current base station connected to, and/or the information is broadcast to the device upon the connection with the base station), that is, whether it is a macrocell, microcell, picocell or femtocell. In other embodiments, the device does not recognize which type of network it is currently connected to, but reports its current base station, and the network uses a network lookup function to determine which type of network it is connected to. In some embodiments, the device adjusts the billing based on the type of network it is connected to, or in other embodiments, the device calculates an offset to such billing based on the type of network it is connected to, and/or in other embodiments, the device records such service usage associated with the type of network it is connected to and the network billing can adjust the billing accordingly. For example, the billing can be lower for service data usage over a femtocell versus a macrocell. In some embodiments, service policies are adjusted based on the type of network that the device is connected, such as billing, user notification, data usage/bandwidth, throttling, time of day, who owns the cellular network connection (e.g., user's home femtocell, or user's work femtocell, or a commercial business's femtocell like a coffee shop or any other common area like an airport) and/or any other service policy can be different for a femtocell connection (or for any other type of connection, such as a macrocell, microcell, or picocell). In some embodiments, the local service usage counter is adjusted based on the type of network (and/or based on the time of day of such service activity) that the device is connected, such as billing, user notification, data usage/bandwidth, and/or any other service policy can be different for a femtocell connection (or for any other type of connection, such as a macrocell, microcell, or picocell). In some embodiments, the service policies and/or billing policies are adjusted based on network congestion.


As shown in FIG. 9, an agent communication bus 1630 represents a functional description for providing communication for the various service processor 115 agents and functions. In some embodiments, as represented in the functional diagram illustrated in FIG. 9, the architecture of the bus is generally multipoint to multipoint so that any agent can communicate with any other agent, the service controller or in some cases other components of the device, such user interface 1697 and/or modem components. As described below, the architecture can also be point to point for certain agents or communication transactions, or point to multipoint within the agent framework so that all agent communication can be concentrated, or secured, or controlled, or restricted, or logged or reported. In some embodiments, the agent communication bus is secured, signed, encrypted, hidden, partitioned and/or otherwise protected from unauthorized monitoring or usage. In some embodiments, an application interface agent (not shown) is used to literally tag or virtually tag application layer traffic so that the policy implementation agent(s) 1690 has the necessary information to implement selected traffic shaping solutions. In some embodiments, an application interface agent (not shown) is in communication with various applications, including a TCP application 1604, an IP application 1605, and a voice application 1602.


In some embodiments, device assisted services (DAS) techniques for providing an activity map for classifying or categorizing service usage activities to associate various monitored activities (e.g., by URL, by network domain, by website, by network traffic type, by application or application type, and/or any other service usage activity categorization/classification) with associated IP addresses are provided. In some embodiments, a policy control agent (not shown), service monitor agent 1696, or another agent or function (or combinations thereof) of the service processor 115 provides a DAS activity map. In some embodiments, a policy control agent, service monitor agent, or another agent or function (or combinations thereof) of the service processor provides an activity map for classifying or categorizing service usage activities to associate various monitored activities (e.g., by Uniform Resource Locator (URL), by network domain, by website, by network traffic type, by application or application type, and/or any other service usage activity classification/categorization) with associated IP addresses. In some embodiments, a policy control agent, service monitor agent, or another agent or function (or combinations thereof) of the service processor determines the associated IP addresses for monitored service usage activities using various techniques to snoop the DNS request(s) (e.g., by performing such snooping techniques on the device 100 the associated IP addresses can be determined without the need for a network request for a reverse DNS lookup). In some embodiments, a policy control agent, service monitor agent, or another agent or function (or combinations thereof) of the service processor records and reports IP addresses or includes a DNS lookup function to report IP addresses or IP addresses and associated URLs for monitored service usage activities. For example, a policy control agent, service monitor agent, or another agent or function (or combinations thereof) of the service processor can determine the associated IP addresses for monitored service usage activities using various techniques to perform a DNS lookup function (e.g., using a local DNS cache on the monitored device 100). In some embodiments, one or more of these techniques are used to dynamically build and maintain a DAS activity map that maps, for example, URLs to IP addresses, applications to IP addresses, content types to IP addresses, and/or any other categorization/classification to IP addresses as applicable. In some embodiments, the DAS activity map is used for various DAS traffic control and/or throttling techniques as described herein with respect to various embodiments. In some embodiments, the DAS activity map is used to provide the user various UI related information and notification techniques related to service usage as described herein with respect to various embodiments. In some embodiments, the DAS activity map is used to provide service usage monitoring, prediction/estimation of future service usage, service usage billing (e.g., bill by account and/or any other service usage/billing categorization techniques), DAS techniques for ambient services usage monitoring, DAS techniques for generating micro-CDRs (e.g., also referred to as service usage partition, service usage recording partition, service charging bucket, device generated CDRs, such as in the case where the device and not a network component are generating the usage records, ambient usage records, specialized service usage records, or other terms to indicate a service usage data record generated to provide a more refined or detailed breakdown of service usage for the device), and/or any of the various other DAS related techniques as described herein with respect to various embodiments.


In some embodiments, all or a portion of the service processor 115 functions disclosed herein are implemented in software. In some embodiments, all or a portion of the service processor 115 functions are implemented in hardware. In some embodiments, all or substantially all of the service processor 115 functionality (as discussed herein) is implemented and stored in software that can be performed on (e.g., executed by) various components in device 100. In some embodiments, it is advantageous to store or implement certain portions or all of service processor 115 in protected or secure memory so that other undesired programs (and/or unauthorized users) have difficulty accessing the functions or software in service processor 115. In some embodiments, service processor 115, at least in part, is implemented in and/or stored on secure non-volatile memory (e.g., non volatile memory can be secure non-volatile memory) that is not accessible without pass keys and/or other security mechanisms. In some embodiments, the ability to load at least a portion of service processor 115 software into protected non-volatile memory also requires a secure key and/or signature and/or requires that the service processor 115 software components being loaded into non-volatile memory are also securely encrypted and appropriately signed by an authority that is trusted by a secure software downloader function, such as service downloader 1663 as shown in FIG. 9. In some embodiments, a secure software download embodiment also uses a secure non-volatile memory. Those of ordinary skill in the art will also appreciate that all memory can be on-chip, off-chip, on-board and/or off-board.



FIG. 10 provides a table summarizing various service processor 115 functional elements in accordance with some embodiments. Many of these agents are similarly described above, and the table shown in FIG. 10 is not intended to be an exhaustive summary of these agents, nor an exhaustive description of all functions that the agents perform or are described herein, but rather FIG. 10 is provided as a summary aid in understanding the basic functions of each agent in accordance with some embodiments and how the agents interact with one another, with the service controller server elements, and/or with other network functions in certain embodiments to form a reliable device based service delivery solution and/or platform.



FIG. 11 provides a table summarizing various service controller 122 functional elements in accordance with some embodiments. Many of these agents/elements are similarly described above, and the table shown in FIG. 11 is not intended to be an exhaustive summary of these server elements, nor an exhaustive description of all functions that the elements perform or are described herein, but rather FIG. 11 is provided as a summary aid in understanding the basic functions of each element in accordance with some embodiments and how the elements interact with one another, certain network elements, and/or the service processor agents in certain embodiments to form a reliable device based service delivery solution and/or platform.



FIG. 12 illustrates a device stack providing various service usage measurement from various points in the networking stack for a service monitor agent, a billing agent, and an access control integrity agent to assist in verifying the service usage measures and billing reports in accordance with some embodiments. As shown in FIG. 12, several service agents take part in data path operations to achieve various data path improvements, and, for example, several other service agents can manage the policy settings for the data path service, implement billing for the data path service, manage one or more modem selection and settings for access network connection, interface with the user and/or provide service policy implementation verification. Additionally, in some embodiments, several agents perform functions to assist in verifying that the service control or monitoring policies intended to be in place are properly implemented, the service control or monitoring policies are being properly adhered to, that the service processor or one or more service agents are operating properly, to prevent unintended errors in policy implementation or control, and/or to prevent tampering with the service policies or control. As shown, the service measurement points labeled I through VI represent various service measurement points for service monitor agent 1696 and/or other agents to perform various service monitoring activities. Each of these measurement points can have a useful purpose in various embodiments described herein. For example, each of the traffic measurement points that is employed in a given design can be used by a monitoring agent to track application layer traffic through the communication stack to assist policy implementation functions, such as the policy implementation agent 1690, or in some embodiments the modem firewall agent 1655 or the application interface agent, in making a determination regarding the traffic parameters or type once the traffic is farther down in the communication stack where it is sometimes difficult or impossible to make a complete determination of traffic parameters. The particular locations for the measurement points provided in these figures are intended as instructional examples, and other measurement points can be used for different embodiments, as will be apparent to one of ordinary skill in the art in view of the embodiments described herein. Generally, in some embodiments, one or more measurement points within the device can be used to assist in service control verification and/or device or service troubleshooting.


In some embodiments, the service monitor agent and/or other agents implement virtual traffic tagging by tracking or tracing packet flows through the various communication stack formatting, processing and encryption steps, and providing the virtual tag information to the various agents that monitor, control, shape, throttle or otherwise observe, manipulate or modify the traffic. This tagging approach is referred to herein as virtual tagging, because there is not a literal data flow, traffic flow or packet tag that is attached to flows or packets, and the book-keeping to tag the packet is done through tracking or tracing the flow or packet through the stack instead. In some embodiments, the application interface and/or other agents identify a traffic flow, associate it with a service usage activity and cause a literal tag to be attached to the traffic or packets associated with the activity. This tagging approach is referred to herein as literal tagging. There are various advantages with both the virtual tagging and the literal tagging approaches. For example, it can be preferable in some embodiments to reduce the inter-agent communication required to track or trace a packet through the stack processing by assigning a literal tag so that each flow or packet has its own activity association embedded in the data. As another example, it can be preferable in some embodiments to re-use portions of standard communication stack software or components, enhancing the verifiable traffic control or service control capabilities of the standard stack by inserting additional processing steps associated with the various service agents and monitoring points rather than re-writing the entire stack to correctly process literal tagging information, and in such cases, a virtual tagging scheme may be desired. As yet another example, some standard communication stacks provide for unused, unspecified or otherwise available bit fields in a packet frame or flow, and these unused, unspecified or otherwise available bit fields can be used to literally tag traffic without the need to re-write all of the standard communication stack software, with only the portions of the stack that are added to enhance the verifiable traffic control or service control capabilities of the standard stack needing to decode and use the literal tagging information encapsulated in the available bit fields. In the case of literal tagging, in some embodiments, the tags are removed prior to passing the packets or flows to the network or to the applications utilizing the stack. In some embodiments, the manner in which the virtual or literal tagging is implemented can be developed into a communication standard specification so that various device or service product developers can independently develop the communication stack and/or service processor hardware and/or software in a manner that is compatible with the service controller specifications and the products of other device or service product developers.


It will be appreciated that although the implementation/use of any or all of the measurement points illustrated in FIG. 12 is not required to have an effective implementation, such as was similarly shown with respect to various embodiments described herein, various embodiments can benefit from these and/or similar measurement points. It will also be appreciated that the exact measurement points can be moved to different locations in the traffic processing stack, just as the various embodiments described herein can have the agents affecting policy implementation moved to different points in the traffic processing stack while still maintaining effective operation. In some embodiments, one or more measurement points are provided deeper in the modem stack where, for example, it is more difficult to circumvent and can be more difficult to access for tampering purposes if the modem is designed with the proper software and/or hardware security to protect the integrity of the modem stack and measurement point(s).


Referring to FIG. 12, describing the device communications stack from the bottom to the top of the stack as shown, the device communications stack provides a communication layer for each of the modems of the device at the bottom of the device communications stack. Example measurement point VI resides within or just above the modem driver layer. For example, the modem driver performs modem bus communications, data protocol translations, modem control and configuration to interface the networking stack traffic to the modem. As shown, measurement point VI is common to all modem drivers and modems, and it is advantageous for certain embodiments to differentiate the traffic or service activity taking place through one modem from that of one or more of the other modems. In some embodiments, measurement point VI, or another measurement point, is located over, within or below one or more of the individual modem drivers. The respective modem buses for each modem reside between example measurement points V and VI. In the next higher layer, a modem selection & control layer for multimode device based communication is provided. In some embodiments, this layer is controlled by a network decision policy that selects the most desirable network modem for some or all of the data traffic, and when the most desirable network is not available the policy reverts to the next most desirable network until a connection is established provided that one of the networks is available. In some embodiments, certain network traffic, such as verification, control, redundant or secure traffic, is routed to one of the networks even when some or all of the data traffic is routed to another network. This dual routing capability provides for a variety of enhanced security, enhanced reliability or enhanced manageability devices, services or applications. In the next higher layer, a modem firewall is provided. For example, the modem firewall provides for traditional firewall functions, but unlike traditional firewalls, in order to rely on the firewall for verifiable service usage control, such as access control and security protection from unwanted networking traffic or applications, the various service verification techniques and agents described herein are added to the firewall function to verify compliance with service policy and prevent tampering of the service controls. In some embodiments, the modem firewall is implemented farther up the stack, possibly in combination with other layers as indicated in other figures. In some embodiments, a dedicated firewall function or layer is provided that is independent of the other processing layers, such as the policy implementation layer, the packet forwarding layer and/or the application layer. In some embodiments, the modem firewall is implemented farther down the stack, such as within the modem drivers, below the modem drivers, or in the modem itself. Example measurement point IV resides between the modem firewall layer and an IP queuing and routing layer. As shown, an IP queuing and routing layer is separate from the policy implementation layer where the policy implementation agent implements a portion of the traffic control and/or service usage control policies. As described herein, in some embodiments, these functions are separated so that a standard network stack function can be used for IP queuing and routing, and the modifications necessary to implement the policy implementation agent functions can be provided in a new layer inserted into the standard stack. In some embodiments, the IP queuing and routing layer is combined with the traffic or service usage control layer. For example, a combined routing and policy implementation layer embodiment can also be used with the other embodiments, such as shown in FIG. 12. Measurement point III resides between the IP queuing and routing layer and a policy implementation agent layer. Measurement point II resides between the policy implementation agent layer and the transport layer, including TCP, UDP, and other IP as shown. The session layer resides above the transport layer, which is shown as a socket assignment and session management (e.g., basic TCP setup, TLS/SSL) layer. The network services API (e.g., HTTP, HTTPS, FTP (File Transfer Protocol), SMTP (Simple Mail Transfer Protocol), POP3, DNS) resides above the session layer. Measurement point I resides between the network services API layer and an application layer, shown as application service interface agent in the device communications stack of FIG. 12.


As shown in FIG. 12, the application service interface layer is above the standard networking stack API and, in some embodiments, its function is to monitor and in some cases intercept and process the traffic between the applications and the standard networking stack API. In some embodiments, the application service interface layer identifies application traffic flows before the application traffic flows are more difficult or practically impossible to identify farther down in the stack. In some embodiments, the application service interface layer in this way assists application layer tagging in both the virtual and literal tagging cases. In the case of upstream traffic, the application layer tagging is straight forward, because the traffic originates at the application layer. In some downstream embodiments, where the traffic or service activity classification relies on traffic attributes that are readily obtainable, such as source address or URL, application socket address, IP destination address, time of day or any other readily obtained parameter, the traffic type can be identified and tagged for processing by the firewall agent or another agent as it initially arrives. In other embodiments, as described herein, in the downstream case, the solution is generally more sophisticated when a traffic parameter that is needed to classify the manner in which the traffic flow is to be controlled or throttled is not readily available at the lower levels of the stack, such as association with an aspect of an application, type of content, something contained within TLS, IPSEC or other secure format, or other information associated with the traffic. Accordingly, in some embodiments the networking stack identifies the traffic flow before it is fully characterized, categorized or associated with a service activity, and then passes the traffic through to the application interface layer where the final classification is completed. In such embodiments, the application interface layer then communicates the traffic flow ID with the proper classification so that after an initial short traffic burst or time period the policy implementation agents can properly control the traffic. In some embodiments, there is also a policy for tagging and setting service control policies for traffic that cannot be fully identified with all sources of tagging including application layer tagging.


As shown in FIG. 12, a service monitor agent, which is also in communication with the agent communication bus 1630, communicates with various layers of the device communications stack. For example, the service monitor agent, performs monitoring at each of measurement points I through VI, receiving information including application information, service usage and other service related information, and assignment information. An access control integrity agent is in communication with the service monitor agent via the agent communications bus 1630, as also shown.



FIG. 13 illustrates an embodiment similar to FIG. 12 in which some of the service processor is implemented on the modem and some of the service processor is implemented on the device application processor in accordance with some embodiments. In some embodiments, a portion of the service processor is implemented on the modem (e.g., on modem module hardware or modem chipset) and a portion of the service processor is implemented on the device application processor subsystem. It will be apparent to one of ordinary skill in the art that variations of the embodiment depicted in FIG. 13 are possible where more or less of the service processor functionality is moved onto the modem subsystem or onto the device application processor subsystem. For example, such embodiments similar to that depicted in FIG. 13 can be motivated by the advantages of including some or all of the service processor network communication stack processing and/or some or all of the other service agent functions on the modem subsystem (e.g., and such an approach can be applied to one or more modems). For example, the service processor can be distributed as a standard feature set contained in a modem chipset hardware of software package or modem module hardware or software package, and such a configuration can provide for easier adoption or development by device OEMs, a higher level of differentiation for the chipset or modem module manufacturer, higher levels of performance or service usage control implementation integrity or security, specification or interoperability standardization, and/or other benefits.


Referring to FIG. 13, describing the device communications stack from the bottom to the top of the stack as shown, the device communications stack provides a communication layer for modem MAC/PHY layer at the bottom of the device communications stack. Measurement point IV resides above the modem MAC/PHY layer. The modem firewall layer resides between measurement points IV and III. In the next higher layer, the policy implementation agent is provided, in which the policy implementation agent is implemented on the modem (e.g., on modem hardware). Measurement point II resides between the policy implementation agent and the modem driver layer, which is then shown below a modem bus layer. The next higher layer is shown as the IP queuing and routing layer, followed by the transport layer, including TCP, UDP, and other IP as shown. The session layer resides above the transport layer, which is shown as a socket assignment and session management (e.g., basic TCP setup, TLS/SSL) layer. The network services API (e.g., HTTP, HTTPS, FTP (File Transfer Protocol), SMTP (Simple Mail Transfer Protocol), POP3, DNS) resides above the session layer. Measurement point I resides between the network services API layer and an application layer, shown as application service interface agent in the device communications stack of FIG. 13.


A complication arises when upper layer reliable communication protocols, such as TCP, are employed in the networking stack in which the downstream transmitting end repeats the packet transmission if the receiving TCP protocol stack does not send a packet receipt acknowledge (ACK) within a certain period of time. If packets are arbitrarily delayed or dropped, then the TCP re-transmission traffic can reduce, completely eliminate or even reverse the network capacity advantage gained by reducing the average traffic speed or other transmission quality measure for one or more service activities. To solve this problem, in some embodiments, the packet traffic control parameters (e.g., downstream delay, drops, burst length, burst frequency and/or burst jitter) are optimized for TCP re-transmission efficiency so that changes in traffic control access bandwidth or speed for one or more service activities are implemented in such a manner that the TCP re-transmission delay at the network transmitting end adapts to be long enough so that wasted packet re-transmission bandwidth is reduced. In addition, and either in combination or in isolation, in some embodiments, the packet traffic control parameters (e.g., downstream delay, drops, burst length, burst frequency and/or burst jitter) can be adjusted so that the access network downstream MAC and/or PHY efficiencies are optimized.


Numerous other embodiments for the detailed implementation of packet flow processing in both downstream and upstream will be apparent to one of ordinary skill in the art in view of the various embodiments described herein. In some embodiments, as described herein, the following are provided: (A) traffic shaping is performed in a verifiable manner, (B) traffic shaping is performed in a manner that results in improved network capacity by taking into account to some degree the manner in which the access network PHY layer and/or MAC layer responds to packet parameters (e.g. burst delay, burst drops, burst length, burst frequency and/or burst jitter), (C) traffic shaping is performed in a manner that results in improved network capacity by taking into account how the packet parameters (e.g., burst delay, burst drops, burst length, burst frequency and/or burst jitter) impact layer 3 and higher ACK protocol or other network protocol network capacity efficiencies, (D) packet shaping is performed in a manner that is aware of and optimized for the particular type of communication protocol or packets being sent (e.g., TCP packets can be dropped to slow the application rate of transfer whereas UDP packets are never dropped, because there is no re-transmission), (E) a virtual or literal packet tagging system is used in a verifiable traffic shaping service control system to provide a deeper level of service monitoring and control or to simplify the processing of the packets, and/or (F) starting with these low level packet processing, traffic control or access control building blocks one or more additional layers of higher level policy control can be added on the device or in the network to create service profiles for the service provider network that define complete services, such as ambient services and many other variations of service profile settings that each define a device or user service experience and can be associated with a billing plan. For example, the use of higher layers of service profile control to form more complete service solutions starting with these relatively simple low-level traffic control, access control or firewall processing steps or functions is also described herein.



FIGS. 14A through 14E illustrate various embodiments of intermediate networking devices that include a service processor for the purpose of verifiable service usage measurement, reporting, and billing reports in accordance with some embodiments. For example, FIGS. 14A through 14E illustrate various extended modem alternatives for access network connection through an intermediate modem or networking device combination that has a connection (e.g., LAN connection) to one or more devices 100.


In some embodiments, device 100 includes a 3G and/or 4G network access connection in combination with the Wi-Fi LAN connection to the device 100. For example, the intermediate device or networking device combination can be a device that simply translates the Wi-Fi data to the WWAN access network without implementing any portion of the service processor 115 as shown in FIG. 14A. In some embodiments, an intermediate device or networking device combination includes a more sophisticated implementation including a networking stack and some embodiments a processor, as is the case for example if the intermediate networking device or networking device combination includes a router function, in which case the service processor 115 can be implemented in part or entirely on the intermediate modem or networking device combination. The intermediate modem or networking device combination can also be a multi-user device in which more than one user is gaining access to the 3G or 4G access network via the Wi-Fi LAN connection. In the case of such a multi-user network, the access network connection can include several managed service links using multiple instantiations of service processor 115, each instantiation, for example, being implemented in whole or in part on device 100 with the intermediate modem or networking device combination only providing the translation services from the Wi-Fi LAN to the WWAN access network.


Referring now to FIGS. 14B through 14D, in some embodiments, the service processors 115 are implemented in part or in whole on the intermediate modem or networking device combination. In the case where the service processor 115 is implemented in part or in whole on the intermediate modem or networking device combination, the service processor 115 can be implemented for each device or each user in the network so that there are multiple managed service provider accounts all gaining access through the same intermediate modem or networking device combination. In some embodiments, the functions of service processor 115 are implemented on an aggregate account that includes the WWAN access network traffic for all of the users or devices connected to the Wi-Fi LAN serviced by the intermediate modem or networking device combination. In some embodiments, the central provider can also provide an aggregated account service plan, such as a family plan, a corporate user group plan and/or an instant hotspot plan. In the case where there is one account for the intermediate modem or networking device combination, the intermediate modem or networking device combination can implement a local division of services to one or more devices 100 or users in which the services are controlled or managed by the intermediate modem or networking device combination or the device 100, but the management is not subject to service provider control and is auxiliary to the service management or service policy implementation performed by service processors 115. In some embodiments, another service model can also be supported in which there is an aggregate service provider plan associated with one intermediate modem or networking device combination, or a group of intermediate modems or networking device combinations but where each user or device still has its own service plan that is a sub-plan under the aggregate plan so that each user or device has independent service policy implementation with a unique instantiation of service processor 115 rather than aggregate service policy implementation across multiple users in the group with a single instantiation of service processor 115.


As shown in FIG. 14B, in some embodiments, device 100 includes a Wi-Fi modem, a Wi-Fi modem combined with a 3G and/or 4G WWAN modem on intermediate modem or networking device combination 1510, and the intermediate modem or networking device combination forwards WWAN access network traffic to and from device 100 via the Wi-Fi link. For example, the service processor 115 can be implemented in its entirety on device 100 and the service provider account can be associated exclusively with one device. Similarly, as shown in FIG. 14C, such an implementation can be provided using a different access modem and access network, such as a 2G and/or 3G WWAN, DSL wire line, cable DOC SIS wire line or fiber wire line configuration in place of the 3G and/or 4G access network connection to the intermediate modem or networking device combination 1510. In addition, various other embodiments similarly use DSL as shown in FIG. 14D, USB, Ethernet, Bluetooth, or another LAN or point to point connection from device 100 to the intermediate modem or networking device combination 1510, or a femto cell modem and DSL/cable/T1/other combination as shown in FIG. 14E.



FIG. 15 illustrates a wireless network architecture for providing device assisted CDR creation, aggregation, mediation and billing including a proxy server(s) 270 in accordance with some embodiments. As shown, FIG. 15 includes a proxy server(s) 270 in communication with a 4G/3G/2G wireless network operated by, for example, a central provider. For example, the proxy server(s) 270 can be used to implement and/or assist in providing various techniques described herein, such as service usage measurement and/or other techniques as described herein.


In some embodiments, it may not be possible to accurately identify every network service access attempt or service usage (e.g., or traffic access) as belonging to a given service usage partition (e.g., a given ambient service usage, background network chatter usage, user service plan usage, emergency service usage, and/or other type of service usage). As used herein, the terms service usage partition, service usage recording partition, service charging bucket, and micro-CDRs are used interchangeably. Accordingly, it is desirable to provide a service charging bucket for traffic that is allowed and not definitively identified as belonging to a known service charging bucket. This allows for techniques to employ an “allow but verify” approach to traffic that is likely to be legitimately associated with an ambient service or a user service or a network service that is intended to be allowed, but is not definitively identified as being associated with an allowed service.


As an example, there may be a web site access associated with an ambient service that does not have a reference identifier or other traffic parameter that allows the service processor to associate it with the correct ambient service. In this case, a set of rules can be applied to determine if it is likely that the web site access is a legitimate access given the access control policies that are in place, and if it is the access can be allowed and the traffic usage either recorded in the ambient service charging bucket that it is suspected to be associated with, or the traffic usage can be charged to a network chatter service usage bucket, or the traffic usage can be charged to the user service usage bucket, or the traffic usage may be recorded in a “not classified but allowed” service charging bucket. In some embodiments, in which such traffic is charged to the “not classified but allowed” service usage charging bucket, additional verification measures are employed to ensure that the amount of traffic that is not classified but allowed does not grow too large or become a back-door for service usage errors. For example, the access control policy rules for allowing unclassified traffic can be relatively loose as long as the amount of service usage charges accumulating in the not classified charging bucket remains within certain bounds, and/or the rate of service usage charged to the not classified bucket remains within certain bounds, but if the not classified traffic becomes large or the rate of not classified traffic growth becomes large then the rules governing when to allow not classified traffic can be tightened.


As another example, a browser application can access a web site that is known to be an ambient service website, and that web site might serve back a series of traffic flows, some of which are associated with the ambient service website through URL identifiers that are known to be part of the website, and other traffic can be associated with the ambient service website by virtue of a referring website tag or header, and some traffic can be returned to the same application with a relatively close time proximity to the other traffic as being identified as ambient traffic. In this example, as long as the not classified traffic service charging bucket does not exceed a given pre-set policy limit on its size, and/or does not grow faster than a given pre-set policy rate, and/or is received within a certain pre-set policy period of time difference from the time that other ambient service charging bucket traffic is received, then the not classified traffic is continued to be allowed. However, if the not classified traffic amount or rate of growth exceeds the pre-set policy limits, or if the period of time between when verified ambient service traffic is received and the not classified traffic is received exceeds policy limits, then the not classified traffic can be blocked or other action can be taken to further analyze the not classified traffic.


In some embodiments, it is important to provide a hierarchy of service usage charging rules for the various service usage partitions on a device. As an example, for a given service plan there can be two ambient service charging buckets, a network chatter (e.g., or network overhead) service charging bucket, and a user service plan service charging bucket and it is desirable to make sure that no ambient services or network overhead service or unclassified service is charged to the user service plan, and it is also desirable to ensure that all known ambient service traffic is charged to the appropriate ambient service partner, and it is desirable to ensure that no network overhead service or unclassified service is charged to ambient service partners. In such situations, a service charging bucket hierarchy can be provided as follows: determine if a traffic flow (e.g., or socket) is associated with network overhead, and if so allow it and charge that service bucket, then determine if a traffic flow (or socket) is associated with ambient service #1, and if so allow it and charge that service bucket, then determine if a traffic flow (or socket) is associated with ambient service #2, and if so allow it and charge that service bucket, then determine if a traffic flow (or socket) is associated with not classified traffic, and if so allow it and charge that service bucket, then if the traffic is not associated with any of the above service charging buckets allow it and charge it to the user service plan charging bucket. In another example, if the user has not yet chosen to pay for a user service plan, then the same hierarchical access control and service charging policy can be used except the final step would be: then if the traffic is not associated with any of the above service charging buckets block the traffic. Hierarchical service charging bucket identification such as depicted in these examples can be a crucial aspect of a robust access control policy and/or service charging policy system. Many other access control policy hierarchies and service charging bucket policy hierarchies will now be apparent to one of ordinary skill in the art.


In some embodiments, the not classified traffic is charged according to service charging rules that rely on the most likely candidate service charging bucket for the traffic. As another example, if the not classified traffic is being delivered to the same application as other known ambient service traffic and the time difference between delivery of the known ambient service traffic and the not classified traffic is small, then the not classified traffic can be charged to the ambient service in accordance with a pre-set charging policy rule specifying these conditions. Other embodiments that will now be apparent to one of ordinary skill in the art. For example, another charging rule for not classified traffic could be to perform a pro-rata allocation of the not classified traffic to all of the other service charging buckets with the pro-rata allocation being based on the percentage of the total traffic used by the device for each service charging bucket. As another example, the not classified traffic can be charged to a subset of the service charging buckets for the device (e.g., all ambient services plus the network overhead service) in accordance with the pro-rata share for each service included in the pro-rata split.


In some embodiments, the user service plan agreement is structured so that the user acknowledges that ambient services in which the access connection to the service is sponsored, paid for, and/or partially subsidized by an entity other than the user are a benefit to the user, and/or the user acknowledges that there is no inherent right to free ambient services, and that the service usage accounting system may not always properly characterize usage for a sponsored or subsidized ambient service (e.g., or some other specialized service) in the correct accounting service charging bucket, and, thus, the user service plan account can be charged and/or billed with some of this traffic. By having the user acknowledge a service use agreement of this form then some ambient traffic can be charged to the user service plan account, including, for example, allowed but not classified traffic, excess ambient service usage beyond pre-set policy limits, ambient service usage during busy network periods or on congested network resources, and/or other criteria/measures. In some embodiments, the user might be notified that they are being charged for service activities that are sometimes subsidized or free to the user. As discussed above, it is important to ensure that a not classified service charging bucket does not become a back door for service charging errors or hacking. It will now be apparent to one of ordinary skill in the art that the not classified service usage charges can be verified in a variety of manners, including, for example, observing the size of the not classified service charging bucket as compared to other service usage charges on the device (e.g., total device service usage, ambient service usage, user bucket service usage, and/or other criteria/measures), capping the not classified bucket, and/or capping the rate of growth of the not classified bucket.


In some embodiments, it is important to verify not only that the total device service usage amount is correct, but that the service usage is being reported in the proper service charging buckets. For example, if the service processor software can be hacked so that it correctly reports the total service usage, but reports user service plan traffic under one or more ambient service buckets, then simply verifying that the total amount of service usage is correct will not be sufficient to prevent the device from obtaining free user service that can be charged to ambient service partners. There are a variety of direct and indirect embodiments to accomplish this verification of service charging bucket divisions. For example, in direct verification embodiments, one or more alternative measures of service usage are employed to cross-check the accuracy of the service charging bucket divisions. In indirect embodiments one of two classes of verification are employed: the size and rate of growth for service charging buckets is analyzed and compared to a pre-set group of policies to detect and/or modify service charging bucket growth that is out of policy; and/or the proper operation of the service processor elements involved in service charging bucket partitioning is verified.


Various embodiments involving direct verification of service charging bucket usage and/or accounting include the use of network based service usage measures such as CDRs, IPDRs, flow data records (e.g., FDRs—detailed reports of service usage for each service flow, such as network socket connection, opened and used to transmit data to or from the device), accounting records, interim accounting records or other similar usage records to verify that the device is within service policy and/or the device based service usage reports are accurate. Use of such network generated service usage records to directly verify service charging and/or proper service usage policy adherence are described herein. When network address destination and/or source information is available in these records, as described herein, this can be used in some embodiments to verify the service charging bucket accounting provided by the device service processor. In some embodiments, some types of service usage records include real-time data but not necessarily all of the useful information needed to help verify service charging bucket accounting, while other types of service usage records provide more detail (e.g., IP address for destination and source) but do not always arrive in real-time. For example, in some embodiments, FDRs are created each time a new service flow (e.g., network socket connection) is opened and then closed. At the time the service flow is closed, a (e.g., possibly time stamped) data usage record indicating source address, destination address and amount of data transmitted is created and sent to a charging aggregation function in the network. The charging aggregation function can then forward the FDRs to the service controller for verification or direct accounting of service charging bucket accounting. By comparing the FDR addresses with known ambient service traffic address associations, the partitioning of service charging buckets between one or more ambient services and other services such as a user service plan service charging bucket may be verified. However, in some cases it can be a long period of time for an FDR to be generated when a device service flow (e.g., socket) remains open for a long period of time, as in the case for example with a long file download, a peer to peer connection with a socket keep alive, or a proxy server service with a socket keep alive. In such cases, it can be disadvantageous to have large amounts of data to be transferred without an FDR to confirm device service processor based reports, and in some cases this can provide an opportunity for service processor service reporting hacks. This can be remedied in a variety of ways by using other network reported service usage information to augment the FDR information. For example, start and stop accounting records can sometimes be obtained in some embodiments from a network element such as a service gateway or the AAA servers (e.g., or other network equipment elements depending on the network architecture). Although start and stop records do not possess the detail of service usage information that FDRs, CDRs, IPDRs, interim accounting records or other service usage records posses, they do inform the service controller that a device is either connected to the network or has stopped connecting. If a device is connected to the network and is not transmitting device usage reports or heartbeats, then the service controller is alerted that an error or hacking condition is likely. As another example of how two or more types of network reported service usage information may be used to create a better real time or near real-time check on device service usage, if both FDRs and start/stop accounting records are available, the service controller can send a stop-then-resume service command to the device (e.g., or alternatively send a stop then resume service command to a network equipment element), which will cause the device to terminate all open service flows before re-initiating them, and once the service flows are stopped then the FDR flow records will be completed and transmitted for any service flows that were in process but unreported when the stop service command was issued. This will cause any long term open socket file transfers to be reported in the FDR flow records thus plugging the potential back door hole in the FDR service usage accounting verification method.


As another example showing how multiple types of network generated service usage accounting records may be used to complement each other and strengthen the verification of service charging bucket accounting partitions, interim data records can be used with FDRs. Interim data records are available in accordance with some embodiments, n which the interim data records are generated on a regularly scheduled basis by a network element (e.g., gateway, base station, HLR, AAA, and/or other network element/function). Interim data records are typically near real time records that report the aggregate traffic usage for the device as of a point in time, but often do not include traffic address information or other traffic details. In embodiments in which both interim accounting records and FDRs are available, when the interim accounting records are indicating service usage that is not being reported in the FDR stream this is evidence that a device has one or more long term socket connections that are open and are not terminating. In this case, the service controller can verify that the device based usage reports are properly accounting for the total amount of service usage reported by the interim accounting records, and/or the service controller can force an FDR report for the open sockets by issuing a stop-resume service command as similarly discussed above.


As described herein, other embodiments involving direct verification of service charging bucket accounting can be provided. One example is to route ambient service traffic to a proxy server or router programmed to support only the network access allowed for the ambient service and to account for the ambient service usage. Additional proxy servers or routers can be similarly programmed for each ambient service that is part of the device service plan, and in some embodiments, another proxy server or router is programmed to support traffic control and account for the user service plan service access. By comparing the service usage accounting for each of these proxy servers or routers, the device generated service charging bucket accounting can be directly verified. In some embodiments, the usage accounting provided by the proxy servers or routers is used directly for service usage accounting.


In some embodiments, ambient service partner feedback is used to verify service charging bucket accounting. For example, web servers used by ambient service partners to provide ambient services can identify a user device based on header information embedded in the HTML traffic, and then account for either the service used by the device during the ambient service sessions or account for the number of transactions the user completes. If service usage is recorded, then it can be reported to the service controller and be used directly to verify ambient service charging bucket accounting. If transactions are all that are recorded, then this can be reported to the service controller and the amount of ambient service used by the device can be compared with the number of transactions completed to determine if the ambient service usage is reasonable or should be throttled or blocked. It will now be apparent to one of ordinary skill in the art that other embodiments can be provided that employ more than one type of network generated service usage records to verify service usage accounting and/or verify service charging bucket accounting.


Other embodiments involving indirect methods for verifying or controlling service charging bucket accounting include monitoring the size and/or growth rate of ambient service usage. In some embodiments, the access control policy rules call for restricting a given ambient service access when the amount of service usage charges accumulating in the ambient service charging bucket exceed a pre-set policy limit, and/or when the rate of service usage for the ambient service exceeds a pre-set policy limit. For example, once these limits are reached, the ambient service can be throttled back for a period of time, blocked for a period of time, or charged to the user service plan charging bucket. In some embodiments, before these actions are taken the user UI can be used to notify the user of the service policy enforcement action. In some embodiments, indirect verification of service charging bucket accounting includes the various techniques described herein for verifying proper operation of the service processor agent software and/or protecting the service processor agent software from errors, manipulation, or hacking.


In some embodiments, the device service processor directs traffic destined for a given ambient service to a proxy server or router programmed to support that ambient service, and any traffic control policies and/or access control policies for the ambient service are implemented in the proxy server or router. For example, in such embodiments the proxy server or router can be programmed to only allow access to one or more ambient services that are authorized by the device service plan, with the proxy server or router controlling device access so that other network destinations cannot be reached. Continuing this example embodiment, the proxy server or router can account for the ambient service usage in an ambient service charging bucket as discussed elsewhere. In such proxy server or router ambient service control embodiments, the same traffic association techniques described elsewhere that allow incoming traffic associated with an ambient service website or other service to be identified, allowed or blocked, potentially throttled, and accounted for in a service charging bucket can be implemented in the proxy server or router programming. Such proxy server or router embodiments can also implement user service plan service charging buckets, user service plan traffic controls, and user service plan access control as discussed herein. In some embodiments, the proxy server or router analyzes the HTML traffic content of the traffic flows as described herein to perform such associations, traffic control and/or service usage accounting. Similarly, in some embodiments, a proxy server or router can provide the “surf-out” capabilities described herein by performing the same surf-out traffic associations (e.g., HTML branch reference associations and/or other branch associations) described herein. It will now be apparent to one of ordinary skill in the art that many of the adaptive ambient service control and service usage charging functions described herein for a service processor can be readily implemented with a proxy server or router that is appropriately programmed.


In some embodiments, routing of device traffic for one or more ambient services and/or user service plan services to a proxy server or router is accomplished by the device service processor using the device service processor traffic control embodiments described herein. In some embodiments, routing of device traffic for one or more ambient services and/or user service plan services to a proxy server or router is accomplished by dedicated network equipment such as the gateways (e.g. SGSN, GGSN, PDSN, or PDN), home agents, HLRs or base stations, with the network equipment being provisioned by a service controller (e.g., or other interchangeable network element with similar functions for this purpose) to direct the device traffic to the proxy server or router. In some embodiments, the ambient service traffic or the user service plan traffic is controlled by the proxy server according to a service plan policy set supplied by the service controller (e.g., or equivalent network function for this purpose). The traffic control service policy thus implemented by the proxy server can control traffic based on one or more of the following: period of time, network address, service type, content type, application type, QoS class, time of day, network busy state, bandwidth, and data usage.


In some embodiments, a proxy server or router is used to verify accounting for a given service, for example, an ambient service. In some embodiments, this is accomplished by the device service processor directing the desired service flows to a proxy server or router programmed to handle the desired service flows, with the proxy server or router being programmed to only allow access to valid network destinations allowed by the access control policies for the desired service, and the proxy server or router also being programmed to account for the traffic usage for the desired services. In some embodiments, the proxy service usage accounting may then be used to verify device based service usage accounting reported by the service processor. In some embodiments, the accounting thus reported by the proxy server or router can be used directly to account for service usage, such as ambient service usage or user service plan service usage.


In some embodiments, in which a proxy server is used for device service usage accounting, the proxy server maintains a link to the device service notification UI via a secure communication link, such as the heartbeat device link described herein. For example, the proxy server or router can keep track of device service usage versus service plan usage caps/limits and notify the user device UI through the device communication link (e.g., heartbeat link) between the service controller and the device. In some embodiments, the proxy server/router communicates with a device UI in a variety of ways, such as follows: UI connection through a device link (e.g., heartbeat link), through a device link connected to a service controller (e.g., or other network element with similar function for this purpose), presenting a proxy web page to the device, providing a pop-up page to the device, and/or installing a special portal mini-browser on the device that communicates with the proxy server/router. In some embodiments, the UI connection to the proxy server/router is used as a user notification channel to communicate usage notification information, service plan choices, or any of the multiple services UI embodiments described herein.


In some embodiments for the proxy server/router techniques for implementing service traffic/access controls and/or service charting bucket accounting, it is desirable to have the same information that is available to the service processor on the device, including, for example, application associated with the traffic, network busy state, QoS level, or other information about the service activity that is available at the device. For example, such information can be used to help determine traffic control rules and/or special services credit is due (e.g., ambient services credit). In some embodiments, information available on the device can be communicated to the proxy server/router and associated with traffic flows or service usage activities in a variety of ways. For example, side information can be transmitted to the proxy server/router that associates a traffic flow or service activity flow with information available on the device but not readily available in the traffic flow or service activity flow itself. In some embodiments, such side information may be communicated over a dedicated control channel (e.g., the device control link or heartbeat link), or in a standard network connection that in some embodiments can be secure (e.g., TLS/SSL, or a secure tunnel). In some embodiments, the side information available on the device can be communicated to the proxy server/router via embedded information in data (e.g., header and/or stuffing special fields in the communications packets). In some embodiments, the side information available on the device can be communicated to the proxy server/router by associating a given secure link or tunnel with the side information. In some embodiments, the side information is collected in a device agent or device API agent that monitors traffic flows, collects the side information for those traffic flows, and transmits the information associated with a given flow to a proxy server/router. It will now be apparent to one of ordinary skill in the art that other techniques can be used to communicate side information available on the device to a proxy server/router.


For example, just as the hierarchy of charging rules can be important for implementations in which the service processor is creating the service charging bucket accounting, it can also important in implementations that use a proxy server or router for service charging bucket accounting. Accordingly, various embodiments described herein for creating a hierarchy of service usage charging rules can be applied to proxy server or proxy router embodiments. It will be apparent to one of ordinary skill in the art that the service charging bucket embodiments and traffic control and access control embodiments described herein for allowed but not classified buckets apply equally to the proxy server/router embodiments. For example, pre-defined service policy rules can be programmed into the proxy server/router to control the traffic flows and/or place usage limits or access limits on an ambient service, or a user service plan service. It will also now be apparent to one of ordinary skill in the art that the embodiments described herein disclosing an initial allowed service access list, temporarily allowing additional service activities until they are determined to be allowed or not allowed, expanding the allowed service activity list, maintaining a not allowed service activity list and expanding the not allowed service activity list also apply equally to proxy server/router embodiments. Similarly, it will now be apparent to one of ordinary skill in the art that the proxy/server router embodiments can be employed to directly generate the service charging bucket (or micro-CDR) usage reports used to provide further detail and/or billing capabilities for service usage. In some embodiments, in which the device service processor directs traffic to a proxy server/router, there are advantageous design feature embodiments available that can reduce the need to provision network to detect and force specialized device service traffic to the appropriate proxy server/router. For example, this can be done by creating a “usage credit” system for the services supported by the proxy server/outer. Total service usage is counted on the one hand by the device service processor, or by other network equipment, or by both. Credit on the other hand for ambient service or other specialized access service usage that is not charged to the user is then provided for services that the device directs through the proxy server/router destination (e.g., URL or route hop) supporting the particular ambient service or other specialized access service. If the device correctly directs traffic to the proxy server/router, then the counting and/or access rules are correctly implemented by the proxy server/router. The service can be thus controlled and/or accounted for. When the service is accounted for, the proxy server/router reports the service charging bucket accounting back to the service controller (e.g., or other network equipment responsible for service charging bucket/micro CDR mediation) and the user service plan service charging bucket account can be credited for the services. Traffic that reaches the proxy server/router is controlled by the access rules and/or traffic control rules and/or QoS control rules of the proxy server/router programming, so there is no question regarding the type of service that is supported with the service charging buckets that are reported to mediation functions (e.g., mediation functions can be performed by one or more of service controller, usage mediation, billing, AAA, and/or HLR/home agent). As the proxy server/router is in the network and can be physically secured and protected from hacking, there is high confidence that the service control and/or charging rules intended for ambient services or some other specialized service are properly implemented and that the proxy server/router connection is being used for the intended service and not some other unintended hacked service. If the device is somehow hacked or otherwise in error so that the traffic is not directed through the appropriate proxy server/router, then the proxy server/router does not log the traffic in micro CDRs/buckets and no specialized service usage credit is sent to the mediation functions, so there is no usage credit deducted from the device user service plan service usage totals. Thus, the user pays for the services when the device is hacked to avoid the proxy server/router. The user account service agreement can specify that if the user tampers with software and traffic is not routed to servers then credit will not be provided and user plan will be charged.


In some proxy server/router embodiments, the usage credit is sometimes recorded by the proxy server/router detecting which device is performing the access. Device identification can be accomplished in a variety of ways including a header/tag inserted into the traffic by the device, a route in the network specified for that device, a secure link (e.g., TLS/SSL, IP Sec, or other secure tunnel), a unique device IP address or other credential (e.g., where proxy server/router has access to an active IP address look up function), a unique proxy server/router address and/or socket for the device.


In some embodiments, the coordination of the device service controller traffic control elements with a proxy server/outer can make it simpler to locate, install, provision and operate the proxy servers. The proxy server/routers do not need to be located “in line” with the access network because it is the device's responsibility to make sure the traffic is routed to the servers/routers or else there is not credit and the user account is charged. In some embodiments, this makes it unnecessary or reduces the need to force device traffic routes in carrier network. In some embodiments, the proxy server/routers can be located in carrier network or on the Internet. If the proxy server/routers are on Internet, then traffic can be authenticated in a firewall before being passed to server/routers to enhance security to attack.


In some embodiments, the service charging bucket recording software in the proxy server/router can be programmed into an ambient service partners network equipment directly thus eliminating the need for special apparatus. The ambient service partner's equipment (e.g., a web server, load balancer or router) can recognize the device using one of the techniques described above, aggregate the device service charging bucket accounting, and periodically send the usage accounting to the service controller or other network service usage mediation function.


Programming and/or provisioning the types of ambient services, user service plan services and/or specialized services disclosed in various embodiments described herein can be a complex process. In some embodiments, a simplified user programming interface, also referred to herein as a service design interface, is used to program the necessary policy settings for such services is desirable. For example, a service design interface is provided that organizes and/or categorizes the various policy settings that are required to set up an ambient service (e.g., or other service) including one or more of the following: a policy list of service activities that are allowed under the ambient service (e.g., or other service), access control policies, rules for implementing and/or adapting an allowed list of network destinations, rules for implementing and/or adapting a blocked list of network destinations, service charging bucket policies, user notification policies, service control, and/or service charging bucket verification policies, actions to be taken upon verification errors. In some embodiments, the required information for one or more of these policy sets is formatted into a UI that organizes and simplifies the programming of the policies. In some embodiments, the UI is partly graphical to help the user understand the information and what settings need to be defined in order to define the service. In some embodiments, the UI is created with an XML interface. In some embodiments, the UI is offered via a secure web connection. In some embodiments, a basic service policy for an ambient service (e.g., or another service) is created that includes one or more of the above service policy settings, and then this service policy set becomes a list or an object that can be replicated and used in multiple service plan policy set definitions (e.g., “dragged and dropped” in a graphical UI). In some embodiments, the resulting set of policies created in this service design interface are then distributed to the necessary policy control elements in the network and/or on the device that act in coordination to implement the service policy set for a given device group. For example, if a service processor is used in conjunction with a service controller, then the service design interface can load the service policy settings subsets that need to be programmed on the service controller and the device service processor into the service controller, and the service controller loads the service controller policy settings subset into the service controller components that control the policies and loads the device policy settings subset to the devices that belong to that device group. In embodiments in which a proxy server/router is used to help control and account for services, in some embodiments, the service design interface loads the service policy settings subsets that need to be programmed on the proxy server/router into the proxy server/router. In embodiments where other network equipment (e.g., gateways, base stations, service usage recording/aggregation/feed equipment, AAA, home agent/HLR, mediation system, and/or billing system) need to be provisioned or programmed, in some embodiments, the service design interface also loads the appropriate device group policy subsets to each of the equipment elements. Accordingly, various techniques can be used as described herein to greatly simplify the complex task of translating a service policy set or service plan into all the myriad equipment and/or device settings, programming, and/or provisioning commands required to correctly implement the service. It will now be apparent to one of ordinary skill in the art that several of these techniques can similarly be used for the VSP service design interface.


Those of ordinary skill in the art will appreciate that various other rules can be provided for the rules engine as described herein. Those of ordinary skill in the art will also appreciate that the functions described herein can be implemented using various other network architectures and network implementations (e.g., using various other networking protocols and corresponding network equipment and techniques).


Although the foregoing embodiments have been described in some detail for purposes of clarity of understanding, the invention is not limited to the details provided. There are many alternative ways of implementing the invention. The disclosed embodiments are illustrative and not restrictive.


INCORPORATION BY REFERENCE

This application incorporates by reference the following U.S. Non-Provisional applications: U.S. patent application Ser. No. 12/695,019, entitled DEVICE ASSISTED CDR CREATION, AGGREGATION, MEDIATION AND BILLING, filed Jan. 27, 2010 (now U.S. Pat. No. 8,275,830); U.S. patent application Ser. No. 12/380,778, entitled VERIFIABLE DEVICE ASSISTED SERVICE USAGE BILLING WITH INTEGRATED ACCOUNTING, MEDIATION ACCOUNTING, AND MULTI-ACCOUNT, filed on Mar. 2, 2009 (now U.S. Pat. No. 8,321,526); and U.S. patent application Ser. No. 12/380,771, entitled VERIFIABLE SERVICE BILLING FOR INTERMEDIATE NETWORKING DEVICES, filed on Mar. 2, 2009 (now U.S. Pat. No. 8,023,425).


This application also incorporates by reference the following U.S. Provisional applications: U.S. Provisional Patent Application No. 61/206,354 entitled SERVICES POLICY COMMUNICATION SYSTEM AND METHOD filed Jan. 28, 2009; U.S. Provisional Patent Application No. 61/206,944 entitled SERVICES POLICY COMMUNICATION SYSTEM AND METHOD filed Feb. 4, 2009; U.S. Provisional Application No. 61/207,393 entitled SERVICES POLICY COMMUNICATION SYSTEM AND METHOD filed Feb. 10, 2009; U.S. Provisional Patent Application No. 61/207,739 entitled SERVICES POLICY COMMUNICATION SYSTEM AND METHOD filed on Feb. 13, 2009; U.S. Provisional Patent Application No. 61/270,353 entitled DEVICE ASSISTED CDR CREATION, AGGREGATION, MEDIATION AND BILLING filed on Jul. 6, 2009; and U.S. Provisional Patent Application No. 61/264,126 entitled DEVICE ASSISTED SERVICES ACTIVITY MAP filed on Nov. 24, 2009.

Claims
  • 1. A system, comprising: a plurality of wireless end-user devices, each comprising a service monitor agent to monitor application network service usage for each of a plurality of applications on that wireless end-user device and for a plurality of wireless networks, and to create device-generated service usage information from the monitored application network service usage, the device-generated service usage information separately recording network usage for multiple ones of the plurality of applications on the plurality of wireless networks;a processor of a network device in secure network communication with each of the plurality of wireless end-user devices, wherein the processor is configured to: collect the device-generated service usage information from the plurality of wireless end-user devices; andprovide, to an accounting element for at least one of the plurality of wireless networks, the device-generated service usage information in a syntax and a communication protocol that can be used by other network devices to augment or replace network-generated service usage information for the plurality of wireless end-user devices; anda memory coupled to the processor and configured to provide the processor with instructions.
  • 2. The system of claim 1, each of the plurality of wireless end-user devices further comprising a service control device link to establish secure network communication with the network device, and to transmit the device-generated service usage information for that wireless end-user device to the network device.
  • 3. The system of claim 1, wherein each of the wireless end-user devices further comprises a network stack that supplies data usage information to the service monitor agent from multiple measurement points, including a point near an application interface of the network stack and a point near a modem interface of the network stack.
  • 4. The system of claim 1, wherein each of the service monitor agents separately creates service usage information for network overhead traffic.
  • 5. The system of claim 1, wherein network usage for an application is further associated with usage directed to different network destinations.
  • 6. The system of claim 1, wherein network usage for an application is further associated with a content type.
  • 7. The system of claim 1, wherein the accounting element comprises a CDR storage, aggregation, mediation, feed element.
  • 8. The system of claim 7, further comprising the CDR storage, aggregation, mediation, feed element.
  • 9. The system of claim 8, wherein the CDR storage, aggregation, mediation, feed element is a secondary CDR element that also receives network-generated service usage information from a primary CDR element.
US Referenced Citations (1488)
Number Name Date Kind
5131020 Liebesny et al. Jul 1992 A
5283904 Carson et al. Feb 1994 A
5325532 Crosswy et al. Jun 1994 A
5572528 Shuen Nov 1996 A
5577100 McGregor et al. Nov 1996 A
5594777 Makkonen et al. Jan 1997 A
5617539 Ludwig et al. Apr 1997 A
5630159 Zancho May 1997 A
5633484 Zancho et al. May 1997 A
5633868 Baldwin et al. May 1997 A
5754953 Briancon et al. May 1998 A
5774532 Gottlieb et al. Jun 1998 A
5794142 Vanttila et al. Aug 1998 A
5814798 Zancho Sep 1998 A
5889477 Fastenrath Mar 1999 A
5892900 Ginter et al. Apr 1999 A
5903845 Buhrmann et al. May 1999 A
5915008 Dulman Jun 1999 A
5915226 Martineau Jun 1999 A
5933778 Buhrmann et al. Aug 1999 A
5940472 Newman et al. Aug 1999 A
5974439 Bollella Oct 1999 A
5983270 Abraham et al. Nov 1999 A
6035281 Crosskey et al. Mar 2000 A
6038452 Strawczynski et al. Mar 2000 A
6038540 Krist et al. Mar 2000 A
6047268 Bartoli et al. Apr 2000 A
6058434 Wilt et al. May 2000 A
6061571 Tamura May 2000 A
6064878 Denker et al. May 2000 A
6078953 Vaid et al. Jun 2000 A
6081591 Skoog Jun 2000 A
6098878 Dent et al. Aug 2000 A
6104700 Haddock et al. Aug 2000 A
6115823 Velasco et al. Sep 2000 A
6119933 Wong et al. Sep 2000 A
6125391 Meltzer et al. Sep 2000 A
6141565 Feuerstein et al. Oct 2000 A
6141686 Jackowski et al. Oct 2000 A
6148336 Thomas et al. Nov 2000 A
6154738 Call Nov 2000 A
6157636 Voit et al. Dec 2000 A
6185576 Mcintosh Feb 2001 B1
6198915 McGregor et al. Mar 2001 B1
6219786 Cunningham et al. Apr 2001 B1
6226277 Chuah May 2001 B1
6246870 Dent et al. Jun 2001 B1
6263055 Garland et al. Jul 2001 B1
6292828 Williams Sep 2001 B1
6317584 Abu-Amara et al. Nov 2001 B1
6370139 Redmond Apr 2002 B2
6381316 Joyce et al. Apr 2002 B2
6393014 Daly et al. May 2002 B1
6397259 Lincke et al. May 2002 B1
6401113 Lazaridis et al. Jun 2002 B2
6418147 Wiedeman Jul 2002 B1
6438575 Khan et al. Aug 2002 B1
6445777 Clark Sep 2002 B1
6449479 Sanchez Sep 2002 B1
6466984 Naveh et al. Oct 2002 B1
6477670 Ahmadvand Nov 2002 B1
6502131 Vaid et al. Dec 2002 B1
6505114 Luciani Jan 2003 B2
6510152 Gerszberg et al. Jan 2003 B1
6522629 Anderson, Sr. Feb 2003 B1
6532235 Benson et al. Mar 2003 B1
6532579 Sato et al. Mar 2003 B2
6535855 Cahill et al. Mar 2003 B1
6535949 Parker Mar 2003 B1
6539082 Lowe et al. Mar 2003 B1
6542500 Gerszberg et al. Apr 2003 B1
6542992 Peirce et al. Apr 2003 B1
6546016 Gerszberg et al. Apr 2003 B1
6563806 Yano et al. May 2003 B1
6570974 Gerszberg et al. May 2003 B1
6574321 Cox et al. Jun 2003 B1
6574465 Marsh et al. Jun 2003 B2
6578076 Putzolu Jun 2003 B1
6581092 Motoyama Jun 2003 B1
6591098 Shieh et al. Jul 2003 B1
6598034 Kloth Jul 2003 B1
6601040 Kolls Jul 2003 B1
6603969 Vuoristo et al. Aug 2003 B1
6603975 Inouchi et al. Aug 2003 B1
6606744 Mikurak Aug 2003 B1
6628934 Rosenberg et al. Sep 2003 B2
6631122 Arunachalam et al. Oct 2003 B1
6636721 Threadgill et al. Oct 2003 B2
6639975 O'Neal et al. Oct 2003 B1
6640097 Corrigan et al. Oct 2003 B2
6640334 Rasmussen Oct 2003 B1
6650887 McGregor et al. Nov 2003 B2
6651101 Gai et al. Nov 2003 B1
6654786 Fox et al. Nov 2003 B1
6654814 Britton et al. Nov 2003 B1
6658254 Purdy et al. Dec 2003 B1
6662014 Walsh Dec 2003 B1
6678516 Nordman et al. Jan 2004 B2
6683853 Kannas et al. Jan 2004 B1
6684244 Goldman et al. Jan 2004 B1
6690918 Evans et al. Feb 2004 B2
6694362 Secor Feb 2004 B1
6697821 Ziff et al. Feb 2004 B2
6725031 Watler et al. Apr 2004 B2
6725256 Albal et al. Apr 2004 B1
6732176 Stewart et al. May 2004 B1
6735206 Oki et al. May 2004 B1
6748195 Phillips Jun 2004 B1
6748437 Mankude et al. Jun 2004 B1
6751296 Albal et al. Jun 2004 B1
6754470 Hendrickson et al. Jun 2004 B2
6757717 Goldstein Jun 2004 B1
6760417 Wallenius Jul 2004 B1
6763000 Walsh Jul 2004 B1
6763226 McZeal, Jr. Jul 2004 B1
6765864 Natarajan et al. Jul 2004 B1
6765925 Sawyer et al. Jul 2004 B1
6782412 Brophy et al. Aug 2004 B2
6785889 Williams Aug 2004 B1
6792461 Hericourt Sep 2004 B1
6829596 Frazee Dec 2004 B1
6829696 Balmer et al. Dec 2004 B1
6839340 Voit et al. Jan 2005 B1
6842628 Arnold et al. Jan 2005 B1
6873988 Herrmann et al. Mar 2005 B2
6876653 Ambe et al. Apr 2005 B2
6879825 Daly Apr 2005 B1
6882718 Smith Apr 2005 B1
6885997 Roberts Apr 2005 B1
6901440 Bimm et al. May 2005 B1
6920455 Weschler Jul 2005 B1
6922562 Ward et al. Jul 2005 B2
6928280 Xanthos et al. Aug 2005 B1
6934249 Bertin et al. Aug 2005 B1
6934751 Jayapalan et al. Aug 2005 B2
6947723 Gumani et al. Sep 2005 B1
6947985 Hegli et al. Sep 2005 B2
6952428 Necka et al. Oct 2005 B1
6957067 Iyer et al. Oct 2005 B1
6959202 Heinonen et al. Oct 2005 B2
6959393 Hollis et al. Oct 2005 B2
6965667 Trabandt et al. Nov 2005 B2
6965872 Grdina Nov 2005 B1
6967958 Ono et al. Nov 2005 B2
6970692 Tysor Nov 2005 B2
6970927 Stewart et al. Nov 2005 B1
6982733 McNally et al. Jan 2006 B1
6983370 Eaton et al. Jan 2006 B2
6996062 Freed et al. Feb 2006 B1
6996076 Forbes et al. Feb 2006 B1
6996393 Pyhalammi et al. Feb 2006 B2
6998985 Reisman et al. Feb 2006 B2
7002920 Ayyagari et al. Feb 2006 B1
7007295 Rose et al. Feb 2006 B1
7013469 Smith et al. Mar 2006 B2
7017189 DeMello et al. Mar 2006 B1
7024200 McKenna et al. Apr 2006 B2
7024460 Koopmas et al. Apr 2006 B2
7027055 Anderson et al. Apr 2006 B2
7027408 Nabkel et al. Apr 2006 B2
7031733 Alminana et al. Apr 2006 B2
7032072 Quinn et al. Apr 2006 B1
7039027 Bridgelall May 2006 B2
7039037 Wang et al. May 2006 B2
7039403 Wong May 2006 B2
7039713 Van Gunter et al. May 2006 B1
7042988 Juitt et al. May 2006 B2
7043225 Patel et al. May 2006 B1
7043226 Yamauchi May 2006 B2
7043268 Yukie et al. May 2006 B2
7047276 Liu et al. May 2006 B2
7058022 Carolan et al. Jun 2006 B1
7058968 Rowland et al. Jun 2006 B2
7068600 Cain Jun 2006 B2
7069248 Huber Jun 2006 B2
7082422 Zirngibl et al. Jul 2006 B1
7084775 Smith Aug 2006 B1
7092696 Hosain et al. Aug 2006 B1
7095754 Benveniste Aug 2006 B2
7102620 Harries et al. Sep 2006 B2
7110753 Campen Sep 2006 B2
7113780 McKenna et al. Sep 2006 B2
7113997 Jayapalan et al. Sep 2006 B2
7120133 Joo et al. Oct 2006 B1
7133386 Holur et al. Nov 2006 B2
7133695 Beyda Nov 2006 B2
7136361 Benveniste Nov 2006 B2
7139569 Kato Nov 2006 B2
7142876 Trossen et al. Nov 2006 B2
7149229 Leung Dec 2006 B1
7149521 Sundar et al. Dec 2006 B2
7151764 Heinonen et al. Dec 2006 B1
7158792 Cook et al. Jan 2007 B1
7162237 Silver et al. Jan 2007 B1
7165040 Ehrman et al. Jan 2007 B2
7167078 Pourchot Jan 2007 B2
7174156 Mangai Feb 2007 B1
7174174 Boris et al. Feb 2007 B2
7177919 Truong et al. Feb 2007 B1
7180855 Lin Feb 2007 B1
7181017 Nagel et al. Feb 2007 B1
7191248 Chattopadhyay et al. Mar 2007 B2
7197321 Erskine et al. Mar 2007 B2
7200112 Sundar et al. Apr 2007 B2
7200551 Senez Apr 2007 B1
7203169 Okholm et al. Apr 2007 B1
7203721 Ben-Efraim et al. Apr 2007 B1
7203752 Rice et al. Apr 2007 B2
7212491 Koga May 2007 B2
7219123 Fiechter et al. May 2007 B1
7222190 Klinker et al. May 2007 B2
7222304 Beaton et al. May 2007 B2
7224968 Dobson et al. May 2007 B2
7228354 Chambliss et al. Jun 2007 B2
7236780 Benco Jun 2007 B2
7242668 Kan et al. Jul 2007 B2
7242920 Morris Jul 2007 B2
7245901 McGregor et al. Jul 2007 B2
7248570 Bahl et al. Jul 2007 B2
7251218 Jorgensen Jul 2007 B2
7260382 Lamb et al. Aug 2007 B1
7266371 Amin et al. Sep 2007 B1
7269157 Klinker et al. Sep 2007 B2
7271765 Stilp et al. Sep 2007 B2
7272660 Powers et al. Sep 2007 B1
7280816 Fratti et al. Oct 2007 B2
7280818 Clayton Oct 2007 B2
7283561 Picher-Dempsey Oct 2007 B1
7283963 Fitzpatrick et al. Oct 2007 B1
7286834 Walter Oct 2007 B2
7286848 Vireday et al. Oct 2007 B2
7289489 Kung et al. Oct 2007 B1
7290283 Copeland, III Oct 2007 B2
7310424 Gehring et al. Dec 2007 B2
7313237 Bahl et al. Dec 2007 B2
7315892 Freimuth et al. Jan 2008 B2
7317699 Godfrey et al. Jan 2008 B2
7318111 Zhao Jan 2008 B2
7320029 Rinne et al. Jan 2008 B2
7322044 Hrastar Jan 2008 B2
7324447 Morford Jan 2008 B1
7325037 Lawson Jan 2008 B2
7336960 Zavalkovsky et al. Feb 2008 B2
7340772 Panasyuk et al. Mar 2008 B2
7346410 Uchiyama Mar 2008 B2
7349695 Oommen et al. Mar 2008 B2
7353533 Wright et al. Apr 2008 B2
7356011 Waters et al. Apr 2008 B1
7356337 Florence Apr 2008 B2
7366497 Nagata Apr 2008 B2
7366654 Moore Apr 2008 B2
7366934 Narayan et al. Apr 2008 B1
7369848 Jiang May 2008 B2
7369856 Ovadia May 2008 B2
7373136 Watler et al. May 2008 B2
7373179 Stine et al. May 2008 B2
7379731 Natsuno et al. May 2008 B2
7388950 Elsey et al. Jun 2008 B2
7389412 Sharma et al. Jun 2008 B2
7391724 Alakoski et al. Jun 2008 B2
7395056 Petermann Jul 2008 B2
7395244 Kingsford Jul 2008 B1
7401338 Bowen et al. Jul 2008 B1
7403763 Maes Jul 2008 B2
7409447 Assadzadeh Aug 2008 B1
7409569 Illowsky et al. Aug 2008 B2
7411930 Montojo et al. Aug 2008 B2
7418253 Kavanah Aug 2008 B2
7418257 Kim Aug 2008 B2
7421004 Feher Sep 2008 B2
7423971 Mohaban et al. Sep 2008 B1
7428750 Dunn et al. Sep 2008 B1
7433362 Mallya et al. Oct 2008 B2
7436816 Mehta et al. Oct 2008 B2
7440433 Rink et al. Oct 2008 B2
7444669 Bahl et al. Oct 2008 B1
7450591 Korling et al. Nov 2008 B2
7450927 Creswell et al. Nov 2008 B1
7454191 Dawson et al. Nov 2008 B2
7457265 Julka et al. Nov 2008 B2
7457870 Lownsbrough et al. Nov 2008 B1
7460837 Diener Dec 2008 B2
7466652 Lau et al. Dec 2008 B2
7467160 McIntyre Dec 2008 B2
7472189 Mallya et al. Dec 2008 B2
7478420 Wright et al. Jan 2009 B2
7486185 Culpepper et al. Feb 2009 B2
7486658 Kumar Feb 2009 B2
7493659 Wu et al. Feb 2009 B1
7496652 Pezzutti Feb 2009 B2
7499438 Hinman et al. Mar 2009 B2
7499537 Elsey et al. Mar 2009 B2
7502672 Kolls Mar 2009 B1
7505756 Bahl Mar 2009 B2
7505795 Lim et al. Mar 2009 B1
7508799 Sumner et al. Mar 2009 B2
7512128 DiMambro et al. Mar 2009 B2
7512131 Svensson et al. Mar 2009 B2
7515608 Yuan et al. Apr 2009 B2
7515926 Bu et al. Apr 2009 B2
7516219 Moghaddam et al. Apr 2009 B2
7522549 Karaoguz et al. Apr 2009 B2
7522576 Du et al. Apr 2009 B2
7526541 Roese et al. Apr 2009 B2
7529204 Bourlas et al. May 2009 B2
7535880 Hinman et al. May 2009 B1
7536695 Alam et al. May 2009 B2
7539132 Werner et al. May 2009 B2
7539862 Edgett et al. May 2009 B2
7540408 Levine et al. Jun 2009 B2
7545782 Rayment et al. Jun 2009 B2
7546460 Maes Jun 2009 B2
7546629 Albert et al. Jun 2009 B2
7548875 Mikkelsen et al. Jun 2009 B2
7548976 Bahl et al. Jun 2009 B2
7551921 Petermann Jun 2009 B2
7551922 Roskowski et al. Jun 2009 B2
7554983 Muppala Jun 2009 B1
7555757 Smith et al. Jun 2009 B2
7561899 Lee Jul 2009 B2
7562213 Timms Jul 2009 B1
7564799 Holland et al. Jul 2009 B2
7565141 Macaluso Jul 2009 B2
7574509 Nixon et al. Aug 2009 B2
7574731 Fascenda Aug 2009 B2
7577431 Jiang Aug 2009 B2
7580356 IMishra et al. Aug 2009 B1
7580857 VanFleet et al. Aug 2009 B2
7583964 Wong Sep 2009 B2
7584298 Klinker et al. Sep 2009 B2
7585217 Lutnick Sep 2009 B2
7586871 Hamilton et al. Sep 2009 B2
7593417 Wang et al. Sep 2009 B2
7593730 Khandelwal et al. Sep 2009 B2
7596373 Mcgregor et al. Sep 2009 B2
7599288 Cole et al. Oct 2009 B2
7599714 Kuzminskiy Oct 2009 B2
7602746 Calhoun et al. Oct 2009 B2
7606918 Holzman et al. Oct 2009 B2
7607041 Kraemer et al. Oct 2009 B2
7609650 Roskowski et al. Oct 2009 B2
7609700 Ying et al. Oct 2009 B1
7610047 Hicks, III et al. Oct 2009 B2
7610057 Bahl et al. Oct 2009 B2
7610328 Haase et al. Oct 2009 B2
7610396 Taglienti et al. Oct 2009 B2
7614051 Glaum et al. Nov 2009 B2
7616962 Oswal et al. Nov 2009 B2
7617516 Huslak et al. Nov 2009 B2
7620041 Dunn et al. Nov 2009 B2
7620065 Falardeau Nov 2009 B2
7620162 Aaron et al. Nov 2009 B2
7620383 Taglienti et al. Nov 2009 B2
7627314 Carlson et al. Dec 2009 B2
7627600 Citron et al. Dec 2009 B2
7627767 Sherman et al. Dec 2009 B2
7627872 Hebeler et al. Dec 2009 B2
7633438 Tysowski Dec 2009 B2
7634388 Archer et al. Dec 2009 B2
7636574 Poosala Dec 2009 B2
7636626 Oesterling et al. Dec 2009 B2
7643411 Andreasen et al. Jan 2010 B2
7644151 Jerrim et al. Jan 2010 B2
7644267 Ylikoski et al. Jan 2010 B2
7644414 Smith et al. Jan 2010 B2
7647047 Moghaddam et al. Jan 2010 B2
7650137 Jobs et al. Jan 2010 B2
7653394 McMillin Jan 2010 B2
7656271 Ehrman et al. Feb 2010 B2
7657920 Arseneau et al. Feb 2010 B2
7660419 Ho Feb 2010 B1
7661124 Ramanathan et al. Feb 2010 B2
7664494 Jiang Feb 2010 B2
7668176 Chuah Feb 2010 B2
7668612 Okkonen Feb 2010 B1
7668903 Edwards et al. Feb 2010 B2
7668966 Klinker et al. Feb 2010 B2
7676673 Weller et al. Mar 2010 B2
7680086 Eglin Mar 2010 B2
7681226 Kraemer et al. Mar 2010 B2
7684370 Kezys Mar 2010 B2
7685131 Batra et al. Mar 2010 B2
7685254 Pandya Mar 2010 B2
7685530 Sherrard et al. Mar 2010 B2
7688792 Babbar et al. Mar 2010 B2
7693107 De Froment Apr 2010 B2
7693720 Kennewick et al. Apr 2010 B2
7697540 Haddad et al. Apr 2010 B2
7710932 Muthuswamy et al. May 2010 B2
7711848 Maes May 2010 B2
7719966 Luft et al. May 2010 B2
7720206 Devolites et al. May 2010 B2
7720464 Batta May 2010 B2
7720505 Gopi et al. May 2010 B2
7720960 Pruss et al. May 2010 B2
7721296 Ricagni May 2010 B2
7724716 Fadell May 2010 B2
7725570 Lewis May 2010 B1
7729326 Sekhar Jun 2010 B2
7730123 Erickson et al. Jun 2010 B1
7734784 Araujo et al. Jun 2010 B1
7742406 Muppala Jun 2010 B1
7746854 Ambe et al. Jun 2010 B2
7747240 Briscoe et al. Jun 2010 B1
7747699 Prueitt et al. Jun 2010 B2
7747730 Harlow Jun 2010 B1
7752330 Olsen et al. Jul 2010 B2
7756056 Kim et al. Jul 2010 B2
7756534 Anupam et al. Jul 2010 B2
7756757 Oakes, III Jul 2010 B1
7760137 Martucci et al. Jul 2010 B2
7760711 Kung et al. Jul 2010 B1
7760861 Croak et al. Jul 2010 B1
7765294 Edwards et al. Jul 2010 B2
7769397 Funato et al. Aug 2010 B2
7770785 Jha et al. Aug 2010 B2
7774323 Helfman Aug 2010 B2
7774412 Schnepel Aug 2010 B1
7774456 Lownsbrough et al. Aug 2010 B1
7778176 Morford Aug 2010 B2
7778643 Laroia et al. Aug 2010 B2
7792257 Vanier et al. Sep 2010 B1
7792538 Kozisek Sep 2010 B2
7792708 Alva Sep 2010 B2
7797019 Friedmann Sep 2010 B2
7797060 Grgic et al. Sep 2010 B2
7797204 Balent Sep 2010 B2
7797401 Stewart et al. Sep 2010 B2
7801523 Kenderov Sep 2010 B1
7801783 Kende et al. Sep 2010 B2
7801985 Pitkow et al. Sep 2010 B1
7802724 Nohr Sep 2010 B1
7805140 Friday et al. Sep 2010 B2
7805522 Schlüter et al. Sep 2010 B2
7805606 Birger et al. Sep 2010 B2
7809351 Panda et al. Oct 2010 B1
7809372 Rajaniemi Oct 2010 B2
7813746 Rajkotia Oct 2010 B2
7817615 Breau et al. Oct 2010 B1
7817983 Cassett et al. Oct 2010 B2
7822837 Urban et al. Oct 2010 B1
7822849 Titus Oct 2010 B2
7826427 Sood et al. Nov 2010 B2
7826607 De Carvalho Resende et al. Nov 2010 B1
7835275 Swan et al. Nov 2010 B1
7843831 Morrill et al. Nov 2010 B2
7843843 Papp, III et al. Nov 2010 B1
7844034 Oh et al. Nov 2010 B1
7844728 Anderson et al. Nov 2010 B2
7848768 Omori et al. Dec 2010 B2
7849161 Koch et al. Dec 2010 B2
7849170 Hargens et al. Dec 2010 B1
7849477 Cristofalo et al. Dec 2010 B2
7853255 Karaoguz et al. Dec 2010 B2
7853656 Yach et al. Dec 2010 B2
7856226 Wong et al. Dec 2010 B2
7860088 Lioy Dec 2010 B2
7865182 Macaluso Jan 2011 B2
7865187 Ramer et al. Jan 2011 B2
7868778 Kenwright Jan 2011 B2
7873001 Silver Jan 2011 B2
7873344 Bowser et al. Jan 2011 B2
7873346 Petersson et al. Jan 2011 B2
7873540 Arumugam Jan 2011 B2
7873705 Kalish Jan 2011 B2
7877090 Maes Jan 2011 B2
7881199 Krstulich Feb 2011 B2
7881697 Baker et al. Feb 2011 B2
7882029 White Feb 2011 B2
7882247 Sturniolo et al. Feb 2011 B2
7882560 Kraemer et al. Feb 2011 B2
7886047 Potluri Feb 2011 B1
7889384 Armentrout et al. Feb 2011 B2
7890084 Dudziak et al. Feb 2011 B1
7890111 Bugenhagen Feb 2011 B2
7894431 Goring et al. Feb 2011 B2
7899039 Andreasen et al. Mar 2011 B2
7899438 Baker et al. Mar 2011 B2
7903553 Liu Mar 2011 B2
7907970 Park et al. Mar 2011 B2
7908358 Prasad et al. Mar 2011 B1
7911975 Droz et al. Mar 2011 B2
7912025 Pattenden et al. Mar 2011 B2
7912056 Brassem Mar 2011 B1
7920529 Mahler et al. Apr 2011 B1
7921463 Sood et al. Apr 2011 B2
7925740 Nath et al. Apr 2011 B2
7925778 Wijnands et al. Apr 2011 B1
7929959 DeAtley et al. Apr 2011 B2
7929960 Martin et al. Apr 2011 B2
7929973 Zavalkovsky et al. Apr 2011 B2
7930327 Craft et al. Apr 2011 B2
7930446 Kesselman et al. Apr 2011 B2
7930553 Satarasinghe et al. Apr 2011 B2
7933274 Verma et al. Apr 2011 B2
7936736 Proctor, Jr. et al. May 2011 B2
7937069 Rassam May 2011 B2
7937450 Janik May 2011 B2
7940685 Breslau et al. May 2011 B1
7940751 Hansen May 2011 B2
7941184 Prendergast et al. May 2011 B2
7944948 Chow et al. May 2011 B2
7945238 Baker et al. May 2011 B2
7945240 Klock et al. May 2011 B1
7945945 Graham et al. May 2011 B2
7948952 Hurtta et al. May 2011 B2
7948953 Melkote et al. May 2011 B2
7948968 Voit et al. May 2011 B2
7949529 Weider et al. May 2011 B2
7953808 Sharp et al. May 2011 B2
7953877 Vemula et al. May 2011 B2
7957020 Mine et al. Jun 2011 B2
7957381 Clermidy et al. Jun 2011 B2
7957511 Drudis et al. Jun 2011 B2
7958029 Bobich et al. Jun 2011 B1
7962622 Friend et al. Jun 2011 B2
7965983 Swan et al. Jun 2011 B1
7966405 Sundaresan et al. Jun 2011 B2
7969950 Iyer Jun 2011 B2
7970350 Sheynman Jun 2011 B2
7970426 Poe et al. Jun 2011 B2
7974624 Gallagher et al. Jul 2011 B2
7975184 Goff et al. Jul 2011 B2
7978627 Taylor et al. Jul 2011 B2
7978686 Goyal et al. Jul 2011 B2
7979069 Hupp et al. Jul 2011 B2
7979889 Gladstone et al. Jul 2011 B2
7979896 McMurtry et al. Jul 2011 B2
7984130 Bogineni et al. Jul 2011 B2
7984511 Paul et al. Jul 2011 B2
7986935 D'Souza et al. Jul 2011 B1
7987496 Bryce et al. Jul 2011 B2
7987510 Kocher et al. Jul 2011 B2
7990049 Shioya Aug 2011 B2
8000276 Scherzer et al. Aug 2011 B2
8000318 Wiley et al. Aug 2011 B2
8005009 McKee et al. Aug 2011 B2
8005459 Balsillie Aug 2011 B2
8005726 Bao Aug 2011 B1
8005913 Carlander Aug 2011 B1
8005988 Maes Aug 2011 B2
8010080 Thenthiruperai et al. Aug 2011 B1
8010081 Roskowski Aug 2011 B1
8010082 Sutaria et al. Aug 2011 B2
8010990 Ferguson et al. Aug 2011 B2
8015133 Wu et al. Sep 2011 B1
8015234 Lum et al. Sep 2011 B2
8015249 Nayak et al. Sep 2011 B2
8019687 Wang et al. Sep 2011 B2
8019820 Son et al. Sep 2011 B2
8019846 Roelens et al. Sep 2011 B2
8019868 Rao et al. Sep 2011 B2
8019886 Harrang et al. Sep 2011 B2
8023425 Raleigh Sep 2011 B2
8024397 Erickson et al. Sep 2011 B1
8024424 Freimuth et al. Sep 2011 B2
8027339 Short et al. Sep 2011 B2
8031601 Feroz et al. Oct 2011 B2
8032168 Ikaheimo Oct 2011 B2
8032409 Mikurak Oct 2011 B1
8032899 Archer et al. Oct 2011 B2
8036387 Kudelski et al. Oct 2011 B2
8036600 Garrett et al. Oct 2011 B2
8044792 Orr et al. Oct 2011 B2
8045973 Chambers Oct 2011 B2
8046449 Yoshiuchi Oct 2011 B2
8050275 Iyer Nov 2011 B1
8050690 Neeraj Nov 2011 B2
8050705 Sicher et al. Nov 2011 B2
8059530 Cole Nov 2011 B1
8060017 Schlicht et al. Nov 2011 B2
8060463 Spiegel Nov 2011 B1
8060603 Gaunter et al. Nov 2011 B2
8064418 Maki Nov 2011 B2
8064896 Bell et al. Nov 2011 B2
8065365 Saxena et al. Nov 2011 B2
8068824 Shan et al. Nov 2011 B2
8068829 Lemond et al. Nov 2011 B2
8073427 Koch et al. Dec 2011 B2
8073721 Lewis Dec 2011 B1
8078140 Baker et al. Dec 2011 B2
8078163 Lemond et al. Dec 2011 B2
8085808 Brusca et al. Dec 2011 B2
8086398 Sanchez et al. Dec 2011 B2
8086497 Oakes, III Dec 2011 B1
8086791 Caulkins Dec 2011 B2
8090359 Proctor, Jr. et al. Jan 2012 B2
8090361 Hagan Jan 2012 B2
8090616 Proctor, Jr. et al. Jan 2012 B2
8091087 Ali et al. Jan 2012 B2
8094551 Huber et al. Jan 2012 B2
8095112 Chow et al. Jan 2012 B2
8095124 Balia Jan 2012 B2
8095640 Guingo et al. Jan 2012 B2
8095666 Schmidt et al. Jan 2012 B2
8098579 Ray et al. Jan 2012 B2
8099077 Chowdhury et al. Jan 2012 B2
8099517 Jia et al. Jan 2012 B2
8102814 Rahman et al. Jan 2012 B2
8103285 Kalhan Jan 2012 B2
8104080 Bums et al. Jan 2012 B2
8107953 Zimmerman et al. Jan 2012 B2
8108520 Ruutu et al. Jan 2012 B2
8108680 Murray Jan 2012 B2
8112435 Epstein et al. Feb 2012 B2
8116223 Tian et al. Feb 2012 B2
8116749 Proctor, Jr. et al. Feb 2012 B2
8116781 Chen et al. Feb 2012 B2
8122128 Burke, II et al. Feb 2012 B2
8122249 Falk et al. Feb 2012 B2
8125897 Ray et al. Feb 2012 B2
8126123 Cai et al. Feb 2012 B2
8126396 Bennett Feb 2012 B2
8126476 Vardi et al. Feb 2012 B2
8126722 Robb et al. Feb 2012 B2
8130793 Edwards et al. Mar 2012 B2
8131256 Martti et al. Mar 2012 B2
8131281 Hildner et al. Mar 2012 B1
8131840 Denker Mar 2012 B1
8131858 Agulnik et al. Mar 2012 B2
8132256 Bari Mar 2012 B2
8134954 Godfrey et al. Mar 2012 B2
8135388 Gailloux et al. Mar 2012 B1
8135392 Marcelling et al. Mar 2012 B2
8135657 Kapoor et al. Mar 2012 B2
8140690 Ly et al. Mar 2012 B2
8144591 Ghai et al. Mar 2012 B2
8145194 Yoshikawa et al. Mar 2012 B2
8146142 Lortz et al. Mar 2012 B2
8149748 Bata et al. Apr 2012 B2
8149823 Turcan et al. Apr 2012 B2
8150394 Bianconi et al. Apr 2012 B2
8150431 Wolovitz et al. Apr 2012 B2
8151205 Follmann et al. Apr 2012 B2
8155155 Chow et al. Apr 2012 B1
8155620 Wang et al. Apr 2012 B2
8155666 Alizadeh-Shabdiz Apr 2012 B2
8155670 Fullam et al. Apr 2012 B2
8156206 Kiley et al. Apr 2012 B2
8159520 Dhanoa et al. Apr 2012 B1
8160015 Rashid et al. Apr 2012 B2
8160056 Van der Merwe et al. Apr 2012 B2
8160598 Savoor Apr 2012 B2
8165576 Raju et al. Apr 2012 B2
8166040 Brindisi et al. Apr 2012 B2
8166554 John Apr 2012 B2
8170553 Bennett May 2012 B2
8174378 Richman et al. May 2012 B2
8174970 Adamczyk et al. May 2012 B2
8175574 Panda et al. May 2012 B1
8180333 Wells et al. May 2012 B1
8180881 Seo et al. May 2012 B2
8180886 Overcash et al. May 2012 B2
8184530 Swan et al. May 2012 B1
8184590 Rosenblatt May 2012 B2
8185088 Klein et al. May 2012 B2
8185093 Jheng et al. May 2012 B2
8185127 Cai et al. May 2012 B1
8185152 Goldner May 2012 B1
8185158 Tamura et al. May 2012 B2
8190087 Fisher et al. May 2012 B2
8190122 Alexander et al. May 2012 B1
8190675 Tribbett May 2012 B2
8191106 Choyi et al. May 2012 B2
8191116 Gazzard May 2012 B1
8191124 Wynn et al. May 2012 B2
8194549 Huber et al. Jun 2012 B2
8194553 Liang et al. Jun 2012 B2
8194572 Horvath et al. Jun 2012 B2
8194581 Schroeder et al. Jun 2012 B1
8195093 Garrett et al. Jun 2012 B2
8195153 Frencel et al. Jun 2012 B1
8195163 Gisby et al. Jun 2012 B2
8195661 Kalavade Jun 2012 B2
8196199 Hrastar et al. Jun 2012 B2
8200163 Hoffman Jun 2012 B2
8200200 Belser et al. Jun 2012 B1
8200509 Kenedy et al. Jun 2012 B2
8200775 Moore Jun 2012 B2
8200818 Freund et al. Jun 2012 B2
8204190 Bang et al. Jun 2012 B2
8204505 Jin et al. Jun 2012 B2
8208788 Ando et al. Jun 2012 B2
8208919 Kotecha Jun 2012 B2
8213296 Shannon et al. Jul 2012 B2
8213363 Ying et al. Jul 2012 B2
8214536 Zhao Jul 2012 B2
8214890 Kirovski et al. Jul 2012 B2
8219134 Maharajh et al. Jul 2012 B2
8223655 Heinz et al. Jul 2012 B2
8223741 Bartlett et al. Jul 2012 B1
8224382 Bultman Jul 2012 B2
8224773 Spiegel Jul 2012 B2
8228818 Chase et al. Jul 2012 B2
8229394 Karlberg Jul 2012 B2
8229914 Ramer et al. Jul 2012 B2
8233433 Kalhan Jul 2012 B2
8233883 De Froment Jul 2012 B2
8233895 Tysowski Jul 2012 B2
8234583 Sloo et al. Jul 2012 B2
8238287 Gopi et al. Aug 2012 B1
8238913 Bhattacharyya et al. Aug 2012 B1
8239520 Grah Aug 2012 B2
8242959 Mia et al. Aug 2012 B2
8244241 Montemurro Aug 2012 B2
8249601 Emberson et al. Aug 2012 B2
8254880 Aaltonen et al. Aug 2012 B2
8254915 Kozisek Aug 2012 B2
8255515 Melman et al. Aug 2012 B1
8255534 Assadzadeh Aug 2012 B2
8255689 Kim et al. Aug 2012 B2
8259692 Bajko Sep 2012 B2
8260252 Agarwal Sep 2012 B2
8264965 Dolganow et al. Sep 2012 B2
8265004 Toutonghi Sep 2012 B2
8266249 Hu Sep 2012 B2
8266681 Deshpande et al. Sep 2012 B2
8270955 Ramer et al. Sep 2012 B2
8270972 Otting et al. Sep 2012 B2
8271025 Brisebois et al. Sep 2012 B2
8271045 Parolkar et al. Sep 2012 B2
8271049 Silver et al. Sep 2012 B2
8271992 Chatley et al. Sep 2012 B2
8275415 Huslak Sep 2012 B2
8275830 Raleigh Sep 2012 B2
8279067 Berger et al. Oct 2012 B2
8279864 Wood Oct 2012 B2
8280354 Smith et al. Oct 2012 B2
8284740 O'Connor Oct 2012 B2
8285249 Baker et al. Oct 2012 B2
8285992 Mathur et al. Oct 2012 B2
8290820 Plastina et al. Oct 2012 B2
8291238 Ginter et al. Oct 2012 B2
8291439 Jethi et al. Oct 2012 B2
8296404 McDysan et al. Oct 2012 B2
8300575 Willars Oct 2012 B2
8306518 Gailloux Nov 2012 B1
8306741 Tu Nov 2012 B2
8307067 Ryan Nov 2012 B2
8310943 Mehta et al. Nov 2012 B2
8315198 Corneille et al. Nov 2012 B2
8315593 Gallant et al. Nov 2012 B2
8315594 Mauser et al. Nov 2012 B1
8315718 Caffrey et al. Nov 2012 B2
8315999 Chatley et al. Nov 2012 B2
8320244 Muqattash et al. Nov 2012 B2
8320949 Matta Nov 2012 B2
8325638 Jin et al. Dec 2012 B2
8325906 Fullarton et al. Dec 2012 B2
8326319 Davis Dec 2012 B2
8326828 Zhou et al. Dec 2012 B2
8331223 Hill et al. Dec 2012 B2
8331293 Sood Dec 2012 B2
8332375 Chatley et al. Dec 2012 B2
8339991 Biswas et al. Dec 2012 B2
8340625 Johnson et al. Dec 2012 B1
8340628 Taylor et al. Dec 2012 B2
8340678 Pandey Dec 2012 B1
8340718 Colonna et al. Dec 2012 B2
8346210 Balsan et al. Jan 2013 B2
8346225 Raleigh Jan 2013 B2
8346923 Rowles et al. Jan 2013 B2
8347104 Pathiyal Jan 2013 B2
8347362 Cai et al. Jan 2013 B2
8347378 Merkin et al. Jan 2013 B2
8350700 Fast et al. Jan 2013 B2
8351592 Freeny, Jr. et al. Jan 2013 B2
8351898 Raleigh Jan 2013 B2
8352360 De Judicibus et al. Jan 2013 B2
8352980 Howcroft Jan 2013 B2
8353001 Herrod Jan 2013 B2
8355570 Karsanbhai et al. Jan 2013 B2
8355696 Olding et al. Jan 2013 B1
8356336 Johnston et al. Jan 2013 B2
8358638 Scherzer et al. Jan 2013 B2
8358975 Bahl et al. Jan 2013 B2
8363658 Delker et al. Jan 2013 B1
8363799 Gruchala et al. Jan 2013 B2
8364089 Phillips Jan 2013 B2
8364806 Short et al. Jan 2013 B2
8369274 Sawai Feb 2013 B2
8370477 Short et al. Feb 2013 B2
8370483 Jason et al. Feb 2013 B2
8374090 Morrill et al. Feb 2013 B2
8374592 Proctor, Jr. et al. Feb 2013 B2
8375128 Tofighbakhsh et al. Feb 2013 B2
8375136 Roman et al. Feb 2013 B2
8380247 Engstrom Feb 2013 B2
8385199 Coward et al. Feb 2013 B1
8385896 Proctor, Jr. et al. Feb 2013 B2
8385964 Haney Feb 2013 B2
8385975 Forutanpour et al. Feb 2013 B2
8386386 Zhu Feb 2013 B1
8391262 Maki et al. Mar 2013 B2
8391834 Raleigh Mar 2013 B2
8392982 Harris et al. Mar 2013 B2
8396458 Raleigh Mar 2013 B2
8396929 Helfman et al. Mar 2013 B2
8401968 Schattauer et al. Mar 2013 B1
8402165 Deu-Ngoc et al. Mar 2013 B2
8402540 Kapoor et al. Mar 2013 B2
8406427 Chand et al. Mar 2013 B2
8406736 Das et al. Mar 2013 B2
8407763 Weller et al. Mar 2013 B2
8411587 Curtis et al. Apr 2013 B2
8411691 Aggarwal Apr 2013 B2
8412798 Wang Apr 2013 B1
8413245 Kraemer et al. Apr 2013 B2
8418168 Tyhurst et al. Apr 2013 B2
8422988 Keshav Apr 2013 B1
8423016 Buckley et al. Apr 2013 B2
8429403 Moret et al. Apr 2013 B2
8437734 Ray et al. May 2013 B2
8442015 Behzad et al. May 2013 B2
8446831 Kwan et al. May 2013 B2
8447324 Shuman et al. May 2013 B2
8447607 Weider et al. May 2013 B2
8447980 Godfrey et al. May 2013 B2
8448015 Gerhart May 2013 B2
8452858 Wu et al. May 2013 B2
8457603 El-Kadri et al. Jun 2013 B2
8461958 Saenz et al. Jun 2013 B2
8463194 Erlenback et al. Jun 2013 B2
8463232 Tuli et al. Jun 2013 B2
8468337 Gaur et al. Jun 2013 B2
8472371 Bari et al. Jun 2013 B1
8477778 Lehmann, Jr. et al. Jul 2013 B2
8478840 Skutela Jul 2013 B2
8483057 Cuervo Jul 2013 B2
8483135 Cai et al. Jul 2013 B2
8483694 Lewis et al. Jul 2013 B2
8484327 Werner et al. Jul 2013 B2
8488597 Nie et al. Jul 2013 B2
8489110 Frank et al. Jul 2013 B2
8489720 Morford et al. Jul 2013 B1
8494559 Malmi Jul 2013 B1
8495181 Venkatraman et al. Jul 2013 B2
8495207 Lee Jul 2013 B2
8495227 Kaminsky et al. Jul 2013 B2
8495360 Falk et al. Jul 2013 B2
8495700 Shahbazi Jul 2013 B2
8495743 Kraemer et al. Jul 2013 B2
8499087 Hu Jul 2013 B2
RE44412 Naqvi et al. Aug 2013 E
8500533 Lutnick et al. Aug 2013 B2
8503358 Hanson et al. Aug 2013 B2
8503455 Heikens Aug 2013 B2
8504032 Lott et al. Aug 2013 B2
8504574 Dvorak et al. Aug 2013 B2
8504687 Maffione et al. Aug 2013 B2
8504690 Shah et al. Aug 2013 B2
8504729 Pezzutti Aug 2013 B2
8505073 Taglienti et al. Aug 2013 B2
8509082 Heinz et al. Aug 2013 B2
8514927 Sundararajan et al. Aug 2013 B2
8516552 Raleigh Aug 2013 B2
8520589 Bhatt et al. Aug 2013 B2
8520595 Yadav et al. Aug 2013 B2
8521110 Rofougaran Aug 2013 B2
8521775 Poh et al. Aug 2013 B1
8522039 Hyndman et al. Aug 2013 B2
8522249 Beaule Aug 2013 B2
8522337 Adusumilli et al. Aug 2013 B2
8523547 Pekrul Sep 2013 B2
8526329 Mahany et al. Sep 2013 B2
8526350 Xue et al. Sep 2013 B2
8527013 Guba Sep 2013 B2
8527410 Markki et al. Sep 2013 B2
8527662 Biswas et al. Sep 2013 B2
8528068 Weglein et al. Sep 2013 B1
8531954 McNaughton et al. Sep 2013 B2
8531995 Khan et al. Sep 2013 B2
8532610 Cassett et al. Sep 2013 B2
8533775 Alcorn et al. Sep 2013 B2
8535160 Lutnick et al. Sep 2013 B2
8538394 Zimmerman et al. Sep 2013 B2
8538421 Brisebois et al. Sep 2013 B2
8538458 Haney Sep 2013 B2
8539544 Garimella et al. Sep 2013 B2
8543265 Ekhaguere et al. Sep 2013 B2
8543814 Laitinen et al. Sep 2013 B2
8544105 Mclean et al. Sep 2013 B2
8548427 Chow et al. Oct 2013 B2
8549173 Wu et al. Oct 2013 B1
8554876 Winsor Oct 2013 B2
8559369 Barkan Oct 2013 B2
8561138 Rothman et al. Oct 2013 B2
8565746 Hoffman Oct 2013 B2
8566236 Busch Oct 2013 B2
8571474 Chavez et al. Oct 2013 B2
8571501 Miller et al. Oct 2013 B2
8571598 Valavi Oct 2013 B2
8571993 Kocher et al. Oct 2013 B2
8572117 Rappaport Oct 2013 B2
8572256 Babbar Oct 2013 B2
8583499 De Judicibus et al. Nov 2013 B2
8588240 Ramankutty et al. Nov 2013 B2
8589955 Roundtree et al. Nov 2013 B2
8594665 Anschutz Nov 2013 B2
8595186 Mandyam et al. Nov 2013 B1
8600895 Felsher Dec 2013 B2
8601125 Huang et al. Dec 2013 B2
8605691 Soomro et al. Dec 2013 B2
8615507 Varadarajulu et al. Dec 2013 B2
8619735 Montemurro et al. Dec 2013 B2
8620257 Qiu et al. Dec 2013 B2
8630925 Bystrom Jan 2014 B2
8631428 Scott et al. Jan 2014 B2
8634425 Gorti et al. Jan 2014 B2
8635164 Rosenhaft et al. Jan 2014 B2
8639215 McGregor et al. Jan 2014 B2
8644702 Kalajan Feb 2014 B1
8644813 Gailloux et al. Feb 2014 B1
8645518 David Feb 2014 B2
8655357 Gazzard et al. Feb 2014 B1
8656472 McMurtry et al. Feb 2014 B2
8660853 Robb et al. Feb 2014 B2
8666395 Silver Mar 2014 B2
8667542 Bertz et al. Mar 2014 B1
8670334 Keohane et al. Mar 2014 B2
8675852 Maes Mar 2014 B2
8676682 Kalliola Mar 2014 B2
8676925 Liu et al. Mar 2014 B1
8693323 McDysan Apr 2014 B1
8694772 Kao et al. Apr 2014 B2
8700729 Dua Apr 2014 B2
8701015 Bonnat Apr 2014 B2
8705361 Venkataraman et al. Apr 2014 B2
8706863 Fadell Apr 2014 B2
8713535 Malhotra et al. Apr 2014 B2
8713641 Pagan et al. Apr 2014 B1
8719397 Levi et al. May 2014 B2
8719423 Wyld May 2014 B2
8724486 Seto et al. May 2014 B2
8725899 Short et al. May 2014 B2
8730842 CoIlins et al. May 2014 B2
8731519 Flynn et al. May 2014 B2
8732808 Sewall et al. May 2014 B2
8739035 Trethewey May 2014 B2
8744339 Halfmann et al. Jun 2014 B2
8761711 Grignani et al. Jun 2014 B2
8780857 Balasubramanian et al. Jul 2014 B2
8787249 Giaretta et al. Jul 2014 B2
8792857 Cai Jul 2014 B2
8793304 Lu et al. Jul 2014 B2
8798610 Prakash et al. Aug 2014 B2
8799440 Zhou Aug 2014 B2
8804695 Branam Aug 2014 B2
8811338 Jin et al. Aug 2014 B2
8811991 Jain et al. Aug 2014 B2
8818394 Bienas et al. Aug 2014 B2
8819253 Simeloff et al. Aug 2014 B2
8825109 Montemurro et al. Sep 2014 B2
8826411 Moen et al. Sep 2014 B2
8831561 Sutaria et al. Sep 2014 B2
8838752 Lor et al. Sep 2014 B2
8843849 Neil et al. Sep 2014 B2
8845415 Lutnick et al. Sep 2014 B2
8849297 Balasubramanian Sep 2014 B2
8855620 Sievers et al. Oct 2014 B2
8862751 Faccin et al. Oct 2014 B2
8863111 Selitser et al. Oct 2014 B2
8875042 LeJeune et al. Oct 2014 B2
8880047 Konicek et al. Nov 2014 B2
8891483 Connelly et al. Nov 2014 B2
8898748 Burks et al. Nov 2014 B2
8908516 Tzamaloukas et al. Dec 2014 B2
8929374 Tönsing et al. Jan 2015 B2
8930238 Coffman et al. Jan 2015 B2
8930551 Pandya Jan 2015 B2
8943551 Ganapathy et al. Jan 2015 B2
8948726 Smith et al. Feb 2015 B2
8949382 Cornett et al. Feb 2015 B2
8949597 Reeves et al. Feb 2015 B1
8955038 Nicodemus et al. Feb 2015 B2
8966018 Bugwadia et al. Feb 2015 B2
8971912 Chou et al. Mar 2015 B2
8977284 Reed Mar 2015 B2
8995952 Baker et al. Mar 2015 B1
9002342 Tenhunen et al. Apr 2015 B2
9014973 Ruckart Apr 2015 B2
9015331 Lai et al. Apr 2015 B2
9026100 Panyda May 2015 B2
9030934 Shah et al. May 2015 B2
9049010 Jueneman et al. Jun 2015 B2
9064275 Lu et al. Jun 2015 B1
9105031 Shen et al. Aug 2015 B2
9111088 Ghai et al. Aug 2015 B2
9137286 Yuan Sep 2015 B1
9172553 Dawes et al. Oct 2015 B2
9177455 Remer Nov 2015 B2
9282460 Souissi Mar 2016 B2
9286469 Kraemer et al. Mar 2016 B2
9286604 Aabye et al. Mar 2016 B2
9313708 Nam et al. Apr 2016 B2
9325737 Gutowski et al. Apr 2016 B2
9326173 Luft Apr 2016 B2
9344557 Gruchala et al. May 2016 B2
9363285 Kitamura Jun 2016 B2
9367680 Mahaffey et al. Jun 2016 B2
9413546 Meier et al. Aug 2016 B2
9418381 Ahuja et al. Aug 2016 B2
9459767 Cockcroft et al. Oct 2016 B2
9501803 Bilac et al. Nov 2016 B2
9544397 Raleigh et al. Jan 2017 B2
9589117 Ali et al. Mar 2017 B2
9609459 Raleigh Mar 2017 B2
9712476 Boynton et al. Jul 2017 B2
9942796 Raleigh Apr 2018 B2
9986413 Raleigh May 2018 B2
10021251 Aaron Jul 2018 B2
10285025 Baker May 2019 B1
10326800 Raleigh Jun 2019 B2
10492102 Raleigh Nov 2019 B2
10582375 Raleigh Mar 2020 B2
20010048738 Baniak et al. Dec 2001 A1
20010053694 Igarashi et al. Dec 2001 A1
20020013844 Garrett et al. Jan 2002 A1
20020022472 Watler et al. Feb 2002 A1
20020022483 Thompson et al. Feb 2002 A1
20020049074 Eisinger et al. Apr 2002 A1
20020099848 Lee Jul 2002 A1
20020116338 Gonthier et al. Aug 2002 A1
20020120370 Parupudi et al. Aug 2002 A1
20020120540 Kende et al. Aug 2002 A1
20020131404 Mehta et al. Sep 2002 A1
20020138599 Dilman et al. Sep 2002 A1
20020138601 Piponius et al. Sep 2002 A1
20020154751 Thompson et al. Oct 2002 A1
20020161601 Nauer et al. Oct 2002 A1
20020164983 Raviv et al. Nov 2002 A1
20020176377 Hamilton Nov 2002 A1
20020188732 Buckman et al. Dec 2002 A1
20020191573 Whitehill et al. Dec 2002 A1
20020199001 Wenocur et al. Dec 2002 A1
20030004937 Salmenkaita et al. Jan 2003 A1
20030005112 Krautkremer Jan 2003 A1
20030013434 Rosenberg et al. Jan 2003 A1
20030018524 Fishman et al. Jan 2003 A1
20030028623 Hennessey et al. Feb 2003 A1
20030046396 Richter et al. Mar 2003 A1
20030050070 Mashinsky et al. Mar 2003 A1
20030050837 Kim Mar 2003 A1
20030084321 Tarquini et al. May 2003 A1
20030088671 Klinker et al. May 2003 A1
20030133408 Cheng et al. Jul 2003 A1
20030134650 Sundar et al. Jul 2003 A1
20030159030 Evans Aug 2003 A1
20030161265 Cao et al. Aug 2003 A1
20030171112 Lupper et al. Sep 2003 A1
20030182420 Jones et al. Sep 2003 A1
20030182435 Redlich et al. Sep 2003 A1
20030184793 Pineau Oct 2003 A1
20030188006 Bard Oct 2003 A1
20030188117 Yoshino et al. Oct 2003 A1
20030220984 Jones et al. Nov 2003 A1
20030224781 Milford et al. Dec 2003 A1
20030229900 Reisman Dec 2003 A1
20030233332 Keeler et al. Dec 2003 A1
20030236745 Hartsell et al. Dec 2003 A1
20040019539 Raman et al. Jan 2004 A1
20040019564 Goldthwaite et al. Jan 2004 A1
20040021697 Beaton et al. Feb 2004 A1
20040024756 Rickard Feb 2004 A1
20040030705 Bowman-Amuah Feb 2004 A1
20040039792 Nakanishi Feb 2004 A1
20040044623 Wake et al. Mar 2004 A1
20040047358 Chen et al. Mar 2004 A1
20040054779 Takeshima et al. Mar 2004 A1
20040073672 Fascenda Apr 2004 A1
20040082346 Skytt et al. Apr 2004 A1
20040098715 Aghera et al. May 2004 A1
20040102182 Reith et al. May 2004 A1
20040103193 Pandya et al. May 2004 A1
20040107360 Herrmann et al. Jun 2004 A1
20040116140 Babbar et al. Jun 2004 A1
20040127200 Shaw et al. Jul 2004 A1
20040127208 Nair et al. Jul 2004 A1
20040127256 Goldthwaite et al. Jul 2004 A1
20040132427 Lee et al. Jul 2004 A1
20040133668 Nicholas, III Jul 2004 A1
20040137890 Kalke Jul 2004 A1
20040165596 Garcia et al. Aug 2004 A1
20040167958 Stewart et al. Aug 2004 A1
20040168052 Clisham et al. Aug 2004 A1
20040170191 Guo et al. Sep 2004 A1
20040176104 Arcens Sep 2004 A1
20040198331 Coward et al. Oct 2004 A1
20040203755 Brunet et al. Oct 2004 A1
20040203833 Rathunde et al. Oct 2004 A1
20040225561 Hertzberg et al. Nov 2004 A1
20040225898 Frost et al. Nov 2004 A1
20040236547 Rappaport et al. Nov 2004 A1
20040243680 Mayer Dec 2004 A1
20040243992 Gustafson et al. Dec 2004 A1
20040249918 Sunshine Dec 2004 A1
20040255145 Chow Dec 2004 A1
20040259534 Chaudhari et al. Dec 2004 A1
20040260766 Barros et al. Dec 2004 A1
20040267872 Serdy et al. Dec 2004 A1
20050007993 Chambers et al. Jan 2005 A1
20050009499 Koster Jan 2005 A1
20050021995 Lal et al. Jan 2005 A1
20050041617 Huotari et al. Feb 2005 A1
20050048950 Morper Mar 2005 A1
20050055291 Bevente et al. Mar 2005 A1
20050055309 Williams et al. Mar 2005 A1
20050055595 Frazer et al. Mar 2005 A1
20050060266 Demello et al. Mar 2005 A1
20050060525 Schwartz et al. Mar 2005 A1
20050075115 Corneille et al. Apr 2005 A1
20050079863 Macaluso Apr 2005 A1
20050091505 Riley et al. Apr 2005 A1
20050096024 Bicker et al. May 2005 A1
20050097516 Donnelly et al. May 2005 A1
20050107091 Vannithamby et al. May 2005 A1
20050108075 Douglis et al. May 2005 A1
20050111463 Leung et al. May 2005 A1
20050128967 Scobbie Jun 2005 A1
20050135264 Popoff et al. Jun 2005 A1
20050163320 Brown et al. Jul 2005 A1
20050166043 Zhang et al. Jul 2005 A1
20050183143 Anderholm et al. Aug 2005 A1
20050186948 Gallagher et al. Aug 2005 A1
20050198377 Ferguson et al. Sep 2005 A1
20050216421 Barry et al. Sep 2005 A1
20050228985 Ylikoski et al. Oct 2005 A1
20050238046 Hassan et al. Oct 2005 A1
20050239447 Holzman et al. Oct 2005 A1
20050245241 Durand et al. Nov 2005 A1
20050246282 Naslund et al. Nov 2005 A1
20050250508 Guo et al. Nov 2005 A1
20050250536 Deng et al. Nov 2005 A1
20050254435 Moakley et al. Nov 2005 A1
20050266825 Clayton Dec 2005 A1
20050266880 Gupta Dec 2005 A1
20060014519 Marsh et al. Jan 2006 A1
20060019632 Cunningham et al. Jan 2006 A1
20060020787 Choyi et al. Jan 2006 A1
20060026679 Zakas Feb 2006 A1
20060030306 Kuhn Feb 2006 A1
20060034256 Addagatla et al. Feb 2006 A1
20060035631 White et al. Feb 2006 A1
20060040642 Boris et al. Feb 2006 A1
20060045245 Aaron et al. Mar 2006 A1
20060048223 Lee et al. Mar 2006 A1
20060068796 Millen et al. Mar 2006 A1
20060072451 Ross Apr 2006 A1
20060072550 Davis et al. Apr 2006 A1
20060072646 Feher Apr 2006 A1
20060075506 Sanda et al. Apr 2006 A1
20060085543 Hrastar et al. Apr 2006 A1
20060095517 O'Connor et al. May 2006 A1
20060098627 Karaoguz et al. May 2006 A1
20060099970 Morgan et al. May 2006 A1
20060101507 Camenisch May 2006 A1
20060112016 Ishibashi May 2006 A1
20060114821 Willey et al. Jun 2006 A1
20060114832 Hamilton et al. Jun 2006 A1
20060126562 Liu Jun 2006 A1
20060135144 Jothipragasam Jun 2006 A1
20060136882 Noonan et al. Jun 2006 A1
20060143066 Calabria Jun 2006 A1
20060143098 Lazaridis Jun 2006 A1
20060156398 Ross et al. Jul 2006 A1
20060160536 Chou Jul 2006 A1
20060165060 Dua Jul 2006 A1
20060168128 Sistla et al. Jul 2006 A1
20060173959 Mckelvie et al. Aug 2006 A1
20060174035 Tufail Aug 2006 A1
20060178917 Merriam et al. Aug 2006 A1
20060178918 Mikurak Aug 2006 A1
20060182137 Zhou et al. Aug 2006 A1
20060183462 Kolehmainen Aug 2006 A1
20060190314 Hernandez Aug 2006 A1
20060190987 Ohta et al. Aug 2006 A1
20060193280 Lee et al. Aug 2006 A1
20060199608 Dunn et al. Sep 2006 A1
20060200663 Thornton Sep 2006 A1
20060206709 Labrou et al. Sep 2006 A1
20060206904 Watkins et al. Sep 2006 A1
20060218395 Maes Sep 2006 A1
20060233108 Krishnan Oct 2006 A1
20060233166 Bou-Diab et al. Oct 2006 A1
20060236095 Smith et al. Oct 2006 A1
20060242685 Heard et al. Oct 2006 A1
20060258341 Miller et al. Nov 2006 A1
20060274706 Chen et al. Dec 2006 A1
20060277590 Limont et al. Dec 2006 A1
20060291419 McConnell et al. Dec 2006 A1
20060291477 Croak et al. Dec 2006 A1
20070005795 Gonzalez Jan 2007 A1
20070019670 Falardeau Jan 2007 A1
20070022289 Alt et al. Jan 2007 A1
20070025301 Petersson et al. Feb 2007 A1
20070033194 Srinivas et al. Feb 2007 A1
20070033197 Scherzer et al. Feb 2007 A1
20070035390 Thomas et al. Feb 2007 A1
20070036312 Cai et al. Feb 2007 A1
20070055694 Ruge et al. Mar 2007 A1
20070060200 Boris et al. Mar 2007 A1
20070061243 Ramer et al. Mar 2007 A1
20070061800 Cheng et al. Mar 2007 A1
20070061878 Hagiu et al. Mar 2007 A1
20070073899 Judge et al. Mar 2007 A1
20070076616 Ngo et al. Apr 2007 A1
20070093243 Kapadekar et al. Apr 2007 A1
20070100981 Adamczyk et al. May 2007 A1
20070101426 Lee et al. May 2007 A1
20070104126 Calhoun et al. May 2007 A1
20070109983 Shankar et al. May 2007 A1
20070111740 Wandel May 2007 A1
20070130283 Klein et al. Jun 2007 A1
20070130315 Friend et al. Jun 2007 A1
20070140113 Gemelos Jun 2007 A1
20070140145 Kumar et al. Jun 2007 A1
20070140275 Bowman et al. Jun 2007 A1
20070143824 Shahbazi Jun 2007 A1
20070147317 Smith et al. Jun 2007 A1
20070147324 McGary Jun 2007 A1
20070155365 Kim et al. Jul 2007 A1
20070165630 Rasanen et al. Jul 2007 A1
20070168499 Chu Jul 2007 A1
20070171856 Bruce et al. Jul 2007 A1
20070174490 Choi et al. Jul 2007 A1
20070191006 Carpenter Aug 2007 A1
20070192460 Choi et al. Aug 2007 A1
20070198656 Mazzaferri et al. Aug 2007 A1
20070201502 Abramson Aug 2007 A1
20070213054 Han Sep 2007 A1
20070220251 Rosenberg et al. Sep 2007 A1
20070226225 Yiu et al. Sep 2007 A1
20070226775 Andreasen et al. Sep 2007 A1
20070234402 Khosravi et al. Oct 2007 A1
20070243862 Coskun et al. Oct 2007 A1
20070248100 Zuberi et al. Oct 2007 A1
20070254646 Sokondar Nov 2007 A1
20070254675 Ozer et al. Nov 2007 A1
20070255769 Agrawal et al. Nov 2007 A1
20070255797 Dunn et al. Nov 2007 A1
20070255848 Sewall et al. Nov 2007 A1
20070257767 Beeson Nov 2007 A1
20070259656 Jeong Nov 2007 A1
20070259673 Willars et al. Nov 2007 A1
20070263558 Salomone Nov 2007 A1
20070266422 Germano et al. Nov 2007 A1
20070274327 Kaarela et al. Nov 2007 A1
20070280453 Kelley Dec 2007 A1
20070282896 Wydroug et al. Dec 2007 A1
20070293191 Mir et al. Dec 2007 A1
20070294395 Strub et al. Dec 2007 A1
20070294410 Pandya et al. Dec 2007 A1
20070297378 Poyhonen et al. Dec 2007 A1
20070298764 Clayton Dec 2007 A1
20070299965 Nieh et al. Dec 2007 A1
20070300252 Acharya et al. Dec 2007 A1
20080005285 Robinson et al. Jan 2008 A1
20080005561 Brown et al. Jan 2008 A1
20080010379 Zhao Jan 2008 A1
20080010452 Holtzman et al. Jan 2008 A1
20080018494 Waite et al. Jan 2008 A1
20080022354 Grewal et al. Jan 2008 A1
20080025230 Patel et al. Jan 2008 A1
20080032715 Jia et al. Feb 2008 A1
20080034063 Yee Feb 2008 A1
20080034419 Mullick et al. Feb 2008 A1
20080039102 Sewall et al. Feb 2008 A1
20080049630 Kozisek et al. Feb 2008 A1
20080050715 Golczewski et al. Feb 2008 A1
20080051076 O'Shaughnessy et al. Feb 2008 A1
20080052387 Heinz et al. Feb 2008 A1
20080056273 Pelletier et al. Mar 2008 A1
20080059474 Lim Mar 2008 A1
20080059743 Bychkov et al. Mar 2008 A1
20080060066 Wynn et al. Mar 2008 A1
20080062900 Rao Mar 2008 A1
20080064367 Nath et al. Mar 2008 A1
20080066149 Lim Mar 2008 A1
20080066150 Lim Mar 2008 A1
20080066181 Haveson et al. Mar 2008 A1
20080070550 Hose Mar 2008 A1
20080077705 Li et al. Mar 2008 A1
20080080457 Cole Apr 2008 A1
20080081606 Cole Apr 2008 A1
20080082643 Storrie et al. Apr 2008 A1
20080083013 Soliman et al. Apr 2008 A1
20080085707 Fadell Apr 2008 A1
20080089295 Keeler et al. Apr 2008 A1
20080089303 Wirtanen et al. Apr 2008 A1
20080095339 Elliott et al. Apr 2008 A1
20080096559 Phillips et al. Apr 2008 A1
20080098062 Balia Apr 2008 A1
20080109679 Wright et al. May 2008 A1
20080120129 Seubert et al. May 2008 A1
20080120668 Yau May 2008 A1
20080120688 Qiu et al. May 2008 A1
20080125079 O'Neil et al. May 2008 A1
20080126287 Cox et al. May 2008 A1
20080127304 Ginter et al. May 2008 A1
20080130534 Tomioka Jun 2008 A1
20080130656 Kim et al. Jun 2008 A1
20080132201 Karlberg Jun 2008 A1
20080132268 Choi-Grogan et al. Jun 2008 A1
20080134330 Kapoor et al. Jun 2008 A1
20080139210 Gisby et al. Jun 2008 A1
20080147454 Walker et al. Jun 2008 A1
20080160958 Abichandani et al. Jul 2008 A1
20080162637 Adamczyk et al. Jul 2008 A1
20080162704 Poplett et al. Jul 2008 A1
20080164304 Narasimhan et al. Jul 2008 A1
20080166993 Gautier et al. Jul 2008 A1
20080167027 Gautier et al. Jul 2008 A1
20080167033 Beckers Jul 2008 A1
20080168275 DeAtley et al. Jul 2008 A1
20080168523 Ansari et al. Jul 2008 A1
20080177998 Apsangi et al. Jul 2008 A1
20080178300 Brown et al. Jul 2008 A1
20080181117 Acke et al. Jul 2008 A1
20080183812 Paul et al. Jul 2008 A1
20080184127 Rafey et al. Jul 2008 A1
20080189760 Rosenberg et al. Aug 2008 A1
20080201266 Chua et al. Aug 2008 A1
20080207167 Bugenhagen Aug 2008 A1
20080212470 Castaneda et al. Sep 2008 A1
20080212751 Chung Sep 2008 A1
20080219268 Dennison Sep 2008 A1
20080221951 Stanforth et al. Sep 2008 A1
20080222692 Andersson et al. Sep 2008 A1
20080225748 Khemani et al. Sep 2008 A1
20080229385 Feder et al. Sep 2008 A1
20080229388 Maes Sep 2008 A1
20080235511 O'Brien et al. Sep 2008 A1
20080240373 Wilhelm Oct 2008 A1
20080250053 Aaltonen et al. Oct 2008 A1
20080256593 Vinberg et al. Oct 2008 A1
20080259924 Gooch et al. Oct 2008 A1
20080262798 Kim et al. Oct 2008 A1
20080263348 Zaltsman et al. Oct 2008 A1
20080268813 Maes Oct 2008 A1
20080270212 Blight et al. Oct 2008 A1
20080279216 Sharif-Ahmadi et al. Nov 2008 A1
20080282319 Fontijn et al. Nov 2008 A1
20080291872 Henriksson Nov 2008 A1
20080293395 Mathews et al. Nov 2008 A1
20080298230 Luft et al. Dec 2008 A1
20080305793 Gallagher et al. Dec 2008 A1
20080311885 Dawson et al. Dec 2008 A1
20080313315 Karaoguz et al. Dec 2008 A1
20080313730 Iftimie et al. Dec 2008 A1
20080316923 Fedders et al. Dec 2008 A1
20080318547 Ballou et al. Dec 2008 A1
20080318550 DeAtley Dec 2008 A1
20080319879 Carroll et al. Dec 2008 A1
20080320497 Tarkoma et al. Dec 2008 A1
20090005000 Baker et al. Jan 2009 A1
20090005005 Forstall et al. Jan 2009 A1
20090006116 Baker et al. Jan 2009 A1
20090006200 Baker et al. Jan 2009 A1
20090006229 Sweeney et al. Jan 2009 A1
20090013157 Beaule Jan 2009 A1
20090016310 Rasal Jan 2009 A1
20090017809 Jethi et al. Jan 2009 A1
20090036111 Danford et al. Feb 2009 A1
20090042536 Bernard et al. Feb 2009 A1
20090044185 Krivopaltsev Feb 2009 A1
20090046707 Smires et al. Feb 2009 A1
20090046723 Rahman et al. Feb 2009 A1
20090047989 Harmon et al. Feb 2009 A1
20090048913 Shenfield et al. Feb 2009 A1
20090049156 Aronsson et al. Feb 2009 A1
20090049518 Roman et al. Feb 2009 A1
20090054030 Golds Feb 2009 A1
20090065571 Jain Mar 2009 A1
20090067372 Shah et al. Mar 2009 A1
20090068984 Burnett Mar 2009 A1
20090070379 Rappaport Mar 2009 A1
20090077622 Baum et al. Mar 2009 A1
20090079699 Sun Mar 2009 A1
20090113514 Hu Apr 2009 A1
20090125619 Antani May 2009 A1
20090132860 Liu et al. May 2009 A1
20090149154 Bhasin et al. Jun 2009 A1
20090157792 Fiatal Jun 2009 A1
20090163173 Williams Jun 2009 A1
20090172077 Roxburgh et al. Jul 2009 A1
20090180391 Petersen et al. Jul 2009 A1
20090181662 Fleischman et al. Jul 2009 A1
20090197585 Aaron Aug 2009 A1
20090197612 Kiiskinen Aug 2009 A1
20090203352 Fordon et al. Aug 2009 A1
20090217065 Araujo, Jr. Aug 2009 A1
20090217364 Salmela et al. Aug 2009 A1
20090219170 Clark et al. Sep 2009 A1
20090248883 Suryanarayana et al. Oct 2009 A1
20090254857 Romine et al. Oct 2009 A1
20090257379 Robinson et al. Oct 2009 A1
20090271514 Thomas et al. Oct 2009 A1
20090282127 Leblanc et al. Nov 2009 A1
20090286507 O'Neil et al. Nov 2009 A1
20090287921 Zhu et al. Nov 2009 A1
20090288140 Huber et al. Nov 2009 A1
20090291665 Gaskarth et al. Nov 2009 A1
20090299857 Brubaker Dec 2009 A1
20090307696 Vals et al. Dec 2009 A1
20090307746 Di et al. Dec 2009 A1
20090315735 Bhavani et al. Dec 2009 A1
20090320110 Nicolson et al. Dec 2009 A1
20100017506 Fadell Jan 2010 A1
20100020822 Zerillo et al. Jan 2010 A1
20100027469 Gurajala et al. Feb 2010 A1
20100027559 Lin et al. Feb 2010 A1
20100030890 Dutta et al. Feb 2010 A1
20100041364 Lott et al. Feb 2010 A1
20100041365 Lott et al. Feb 2010 A1
20100041391 Spivey et al. Feb 2010 A1
20100042675 Fujii Feb 2010 A1
20100043068 Varadhan et al. Feb 2010 A1
20100069074 Kodialam et al. Mar 2010 A1
20100071053 Ansari et al. Mar 2010 A1
20100075666 Gamer Mar 2010 A1
20100077035 Li et al. Mar 2010 A1
20100080202 Hanson Apr 2010 A1
20100082431 Ramer et al. Apr 2010 A1
20100088387 Calamera Apr 2010 A1
20100103820 Fuller et al. Apr 2010 A1
20100113020 Subramanian et al. May 2010 A1
20100121744 Belz et al. May 2010 A1
20100131584 Johnson May 2010 A1
20100142478 Forssell et al. Jun 2010 A1
20100144310 Bedingfield Jun 2010 A1
20100151866 Karpov et al. Jun 2010 A1
20100153781 Hanna Jun 2010 A1
20100167696 Smith et al. Jul 2010 A1
20100188975 Raleigh Jul 2010 A1
20100188990 Raleigh Jul 2010 A1
20100188992 Raleigh Jul 2010 A1
20100188994 Raleigh Jul 2010 A1
20100190469 Vanderveen et al. Jul 2010 A1
20100191576 Raleigh Jul 2010 A1
20100191612 Raleigh Jul 2010 A1
20100191846 Raleigh Jul 2010 A1
20100192170 Raleigh Jul 2010 A1
20100192212 Raleigh Jul 2010 A1
20100195503 Raleigh Aug 2010 A1
20100197268 Raleigh Aug 2010 A1
20100198698 Raleigh et al. Aug 2010 A1
20100198939 Raleigh Aug 2010 A1
20100235329 Koren et al. Sep 2010 A1
20100241544 Benson et al. Sep 2010 A1
20100248719 Scholaert Sep 2010 A1
20100284327 Miklos Nov 2010 A1
20100284388 Fantini et al. Nov 2010 A1
20100287599 He et al. Nov 2010 A1
20100311402 Srinivasan et al. Dec 2010 A1
20100325420 Kanekar Dec 2010 A1
20110004917 Saisa et al. Jan 2011 A1
20110013569 Scherzer et al. Jan 2011 A1
20110019574 Malomsoky et al. Jan 2011 A1
20110081881 Baker et al. Apr 2011 A1
20110082790 Baker et al. Apr 2011 A1
20110110309 Bennett May 2011 A1
20110126141 King et al. May 2011 A1
20110145920 IMahaffey et al. Jun 2011 A1
20110159818 Scherzer et al. Jun 2011 A1
20110173678 Kaippallimalil et al. Jul 2011 A1
20110177811 Heckman et al. Jul 2011 A1
20110182220 Black et al. Jul 2011 A1
20110185202 Black et al. Jul 2011 A1
20110244837 Murata et al. Oct 2011 A1
20110249668 Milligan et al. Oct 2011 A1
20110264923 Kocher et al. Oct 2011 A1
20110277019 Pritchard, Jr. Nov 2011 A1
20120020296 Scherzer et al. Jan 2012 A1
20120144025 Melander et al. Jun 2012 A1
20120166364 Ahmad et al. Jun 2012 A1
20120196644 Scherzer et al. Aug 2012 A1
20120238287 Scherzer Sep 2012 A1
20130029653 Baker et al. Jan 2013 A1
20130058274 Scherzer et al. Mar 2013 A1
20130065555 Baker et al. Mar 2013 A1
20130072177 Ross et al. Mar 2013 A1
20130084835 Scherzer et al. Apr 2013 A1
20130144789 Aaltonen et al. Jun 2013 A1
20130225151 King et al. Aug 2013 A1
20130326356 Zheng et al. Dec 2013 A9
20140073291 Hildner et al. Mar 2014 A1
20140241342 Constantinof Aug 2014 A1
20150181628 Haverinen et al. Jun 2015 A1
Foreign Referenced Citations (100)
Number Date Country
2688553 Dec 2008 CA
1310401 Aug 2001 CN
1345154 Apr 2002 CN
1508734 Jun 2004 CN
1538730 Oct 2004 CN
1567818 Jan 2005 CN
101035308 Mar 2006 CN
1801829 Jul 2006 CN
1802839 Jul 2006 CN
1889777 Jul 2006 CN
101155343 Sep 2006 CN
1867024 Nov 2006 CN
1878160 Dec 2006 CN
1937511 Mar 2007 CN
101123553 Sep 2007 CN
101080055 Nov 2007 CN
101115248 Jan 2008 CN
101127988 Feb 2008 CN
101183958 May 2008 CN
101335666 Dec 2008 CN
101341764 Jan 2009 CN
101815275 Aug 2010 CN
1098490 May 2001 EP
1289326 Mar 2003 EP
1463238 Sep 2004 EP
1503548 Feb 2005 EP
1545114 Jun 2005 EP
1739518 Jan 2007 EP
1772988 Apr 2007 EP
1850575 Oct 2007 EP
1887732 Feb 2008 EP
1942698 Jul 2008 EP
1978772 Oct 2008 EP
2007065 Dec 2008 EP
2026514 Feb 2009 EP
3148713 Mar 2001 JP
2005339247 Dec 2005 JP
2006041989 Feb 2006 JP
2006155263 Jun 2006 JP
2006197137 Jul 2006 JP
2006344007 Dec 2006 JP
2007318354 Dec 2007 JP
2008301121 Dec 2008 JP
2009111919 May 2009 JP
2009212707 Sep 2009 JP
2009218773 Sep 2009 JP
2009232107 Oct 2009 JP
20040053858 Jun 2004 KR
1998058505 Dec 1998 WO
1999027723 Jun 1999 WO
1999065185 Dec 1999 WO
0208863 Jan 2002 WO
2002045315 Jun 2002 WO
2002067616 Aug 2002 WO
2002093877 Nov 2002 WO
2003014891 Feb 2003 WO
2003017063 Feb 2003 WO
2003017065 Feb 2003 WO
2003058880 Jul 2003 WO
2004028070 Apr 2004 WO
2004064306 Jul 2004 WO
2004077797 Sep 2004 WO
2004095753 Nov 2004 WO
2005008995 Jan 2005 WO
2005053335 Jun 2005 WO
2005083934 Sep 2005 WO
2006004467 Jan 2006 WO
2006004784 Jan 2006 WO
2006012610 Feb 2006 WO
2006050758 May 2006 WO
2006073837 Jul 2006 WO
2006077481 Jul 2006 WO
2006093961 Sep 2006 WO
2006120558 Nov 2006 WO
2006130960 Dec 2006 WO
2007001833 Jan 2007 WO
2007014630 Feb 2007 WO
2007018363 Feb 2007 WO
2007053848 May 2007 WO
2007068288 Jun 2007 WO
2007069245 Jun 2007 WO
2007097786 Aug 2007 WO
2007107701 Sep 2007 WO
2007120310 Oct 2007 WO
2007124279 Nov 2007 WO
2007126352 Nov 2007 WO
2007129180 Nov 2007 WO
2007133844 Nov 2007 WO
2008017837 Feb 2008 WO
2008051379 May 2008 WO
2008066419 Jun 2008 WO
2008080139 Jul 2008 WO
2008080430 Jul 2008 WO
2008099802 Aug 2008 WO
2009008817 Jan 2009 WO
2009091295 Jul 2009 WO
2010088413 Aug 2010 WO
2010128391 Nov 2010 WO
2010128391 Jan 2011 WO
2011002450 Jan 2011 WO
Non-Patent Literature Citations (63)
Entry
Rivadeneyra et al., “A communication architecture to access data services through GSM,” San Sebastian, Spain, 1998.
Ruckus Wireless—White Paper; “Smarter Wi-Fi for Mobile Operator Infrastructures” 2010.
Sabat, “The evolving mobile wireless value chain and market structure,” Nov. 2002.
Sadeh et al., “Understanding and Capturing People's Privacy Policies in a Mobile Social Networking Application,” ISR School of Computer Science, Carnegie Mellon University, 2007.
Schiller et al., “Location-Based Services,” The Morgan Kaufmann Series in Data Management Systems, 2004.
Sharkey, “Coding for Life-Battery Life, That Is,” May 27, 2009.
Steglich, Stephan, “I-Centric User Interaction,” Nov. 21, 2003.
Sun et al., “Towards Connectivity Management Adaptability: Context Awareness in Policy Representation and End-to-and Evaluation Algorithm,” Dept. of Electrical and Information Engineering, Univ of Oulu, Finland, 2004.
Van Eijk, et al., “GigaMobile, Agent Technology for Designing Personalized Mobile Service Brokerage,” Jul. 1, 2002.
VerizonWireless.com news, “Verizon Wireless Adds to Portfolio of Cosumer-Friendly Tools With Introduction of Usage Controls, Usage Controls and Chaperone 2.0 Offer Parents Full Family Security Solution,” Aug. 18, 2008.
Windows7 Power Management, published Apr. 2009.
Wireless Broadband Alliance, “WISPr 2.0, Apr. 8, 2010”; Doc. Ref. No.: WBA/RM/WISPr, Version 01.00.
Zhu et al., “A Survey of Quality of Service in IEEE 802.11 Networks,” IEEE Wireless Communications, Aug. 2004.
“Ads and movies on the run,” the Gold Coast Bulletin, Southport, Qld, Jan. 29, 2008.
“ASA/PIX: Allow Split Tunneling for VPN Clients on the ASA Configuration Example,” Document ID 70917, Jan. 10, 2008.
“Communication Concepts for Mobile Agent Systems,” by Joachim Baumann et al.; Inst. of Parallel and Distributed High-Performance Systems, Univ. of Stuttgart, Germany, pp. 123-135,1997.
“End to End QoS Solution for Real-time Multimedia Application;” Computer Engineering and Applications, 2007, 43 (4): 155-159, by Tan Zu-guo, Wang Wen-juan; Information and Science School, Zhanjian Normal College, Zhan jiang, Guangdong 524048, China.
“Jentro Technologies launches Zenlet platform to accelerate location-based content delivery to mobile devices,” The Mobile Internet, Boston, MA, Feb. 2008.
“The Construction of Intelligent Residential District in Use of Cable Television Network,” Shandong Science, vol. 13, No. 2, Jun. 2000.
3rd Generation Partnership Project, “Technical Specification Group Services and System Aspects; General Packet Radio Service (GPRS) Enhancements for Evolved Universal Terrestrial Radio Access Network (E-UTRAN) Access,” Release 8, Document No. 3GPP TS 23.401, V8.4.0, Dec. 2008.
3rd Generation Partnership Project, “Technical Specification Group Services and System Aspects; Policy and Charging Control Architecture,” Release 8, Document No. 3GPP TS 23 203, V8.4.0, Dec. 2008.
Accuris Networks, “The Business Value of Mobile Data Offload—a White Paper”, 2010.
Ahmed et al., “A Context-Aware Vertical Handover Decision Algorithm for Multimode Mobile Terminals and Its Performance,” BenQ Mobile, Munich Germany; University of Klagenfurt, Klagenfurt, Austria; 2006.
Alonistioti et al., “Intelligent Architectures Enabling Flexible Service Provision and Adaptability,” 2002.
Amazon Technologies, Inc., “Kindle™ User's Guide,” 3rd Edition, Copyright 2004-2009.
Android Cupcake excerpts, The Android Open Source Project, Feb. 10, 2009.
Anton, B. et al., “Best Current Practices for Wireless Internet Service Provider (WISP) Roaming”; Release Date Feb. 2003, Version 1.0; Wi-Fi Alliance—Wireless ISP Roaming (WISPr).
Blackberry Mobile Data System, version 4.1, Technical Overview, 2006.
Byrd, “Open Secure Wireless,” May 5, 2010.
Chandrasekhar et al., “Femtocell Networks: A Survey,” Jun. 28, 2008.
Chaouchi et al., “Policy Based Networking in the Integration Effort of 4G Networks and Services,” 2004 IEEE.
Cisco Systems, Inc., “Cisco Mobile Exchange (CMX) Solution Guide: Chapter 2—Overview of GSM, GPRS, and UMTS,” Nov. 4, 2008.
Client Guide for Symantec Endpoint Protection and Symantec Network Access Control, 2007.
Dikaiakos et al., “A Distributed Middleware Infrastructure for Personalized Services,” Nov. 24, 2003.
Dixon et al., Triple Play Digital Services: Comcast and Verizon (Digital Phone, Television, and Internet), Aug. 2007.
Droid Wall 1.3.7 description 20100428 obtained from https://www.freewarelovers.com/android/apps/droid-wall.
Ehnert, “Small application to monitor IP trafic on a Blackberry-1.01.03 ”, Mar. 27, 2008; http://www.ehnert.net/MiniMoni/.
European Commission, “Data Roaming Tariffs—Transparency Measures,” obtained from EUROPA—Europe's Information Society Thematic Portal website, Jun. 24, 2011: “http://ec.europa.eu/information_society/activities/roaming/data/measures/index_en.htm.”.
Farooq et al., “An IEEE 802.16 WiMax Module for the NS-3 Simulator,” Mar. 2-6, 2009.
Fujitsu, “Server Push Technology Survey and Bidirectional Communication in HTTP Browser,” Jan. 9, 2008 (JP).
Han et al., “Information Collection Services for Qos-Aware Mobile Applications,” 2005.
Hartmann et al., “Agent-Based Banking Transactions & Information Retrieval—What About Performance Issues?” 1999.
Hewlett-Packard Development Company, LP, “IP Multimedia Services Charging,” white paper, Jan. 2006.
Hossain et al., “Gain-Based Selection of Ambient Media Services in Pervasive Environments,” Mobile Networks and Applications. Oct. 3, 2008.
Jing et al., “Client-Server Computing in Mobile Environments,” GTE Labs. Inc., Purdue University, ACM Computing Surveys, vol. 31, No. 2, Jun. 1999.
Kasper et al., “Subscriber Authentication in mobile cellular Networks with virtual software SIM Credentials using Trusted Computing,” Fraunhofer-lnstitute for Secure Information Technology SIT, Darmstadt, Germany; ICACT 2008.
Kassar et al., “An overview of vertical handover decision strategies in heterogeneous wireless networks,” ScienceDirect, University Pierre & Marie Curie, Paris, France, Jun. 5, 2007.
Kim, “Free wireless a high-wire act; MetroFi needs to draw enough ads to make service add profits,” San Francisco Chronicle, Aug. 21, 2006.
Knight et al., “Layer 2 and 3 Virtual Private Networks: Taxonomy, Technology, and Standarization Efforts,” IEEE Communications Magazine, Jun. 2004.
Koutsopoulou et al., “Charging, Accounting and Billing Management Schemes In Mobile Telecommunication Networks and the Internet,” IEEE Communications Surveys & Tutorials, First Quarter 2004, vol. 6, No. 1.
Koutsopoulou et al., “Middleware Platform for the Support of Charging Reconfiguration Actions,” 2005.
Kuntze et al., “Trustworthy content push,” Fraunhofer-lnstitute for Secure Information Technology SIT; Germany WCNC 2007 proceedings, IEEE.
Kyriakakos et al., “Ubiquitous Service Provision in Next Generation Mobile Networks,” Proceedings of the 13th IST Mobile and Wireless Communications Summit, Lyon, France, Jun. 2004.
Li, Yu, “Dedicated E-Reading Device: The State of the Art and The Challenges,” Scroll, vol. 1, No. 1, 2008.
Loopt User Guide, metroPCS, Jul. 17, 2008.
Muntermann et al., “Potentiale und Sicherheitsanforderungen mobiler Finanzinformationsdienste und deren Systeminfrastrukturen,” Chair of Mobile Commerce & Multilateral Security, Goethe Univ. Frankfurt, 2004.
NetLimiter Lite 4.0.19.0; http://www.heise.de/download/netlimiter-lite-3617703.html from vol. 14/2007.
Nilsson et al., “A Novel MAC Scheme for Solving the QoS Parameter Adjustment Problem in IEEE802.11e EDCA,” Feb. 2006.
Nuzman et al., “A compund model for TCP connection arrivals for LAN and WAN applications,” Oct. 22, 2002.
Open Mobile Alliance (OMA), Push Architecture, Candidate Version 2.2; Oct. 2, 2007; OMA-AD-Push-V2_2-20071002-C.
Dppliger, Rolf, “Internet Security: Firewalls and Bey,” Communications of the ACM, May 1997, vol. 40. No. 5.
Rao et al., “Evolution of Mobile Location-Based Services,” Communication of the ACM, Dec. 2003.
Richtel, “Cellphone consumerism; If even a debit card is too slow, now you have a new way to act on impulse: [National Edition],” National Post, Canada, Oct. 2, 2007.
Related Publications (1)
Number Date Country
20190281168 A1 Sep 2019 US
Provisional Applications (6)
Number Date Country
61270353 Jul 2009 US
61264126 Nov 2009 US
61206354 Jan 2009 US
61206944 Feb 2009 US
61207393 Feb 2009 US
61207739 Feb 2009 US
Continuations (5)
Number Date Country
Parent 15809679 Nov 2017 US
Child 16425156 US
Parent 14335682 Jul 2014 US
Child 15809679 US
Parent 14158980 Jan 2014 US
Child 14335682 US
Parent 13565720 Aug 2012 US
Child 14158980 US
Parent 12695019 Jan 2010 US
Child 13565720 US
Continuation in Parts (1)
Number Date Country
Parent 12380778 Mar 2009 US
Child 12695019 US