Patent Grant
9832674
The present disclosure relates to computerized systems and methods for a cloud controller for self-optimized networks.
Hotspot networks can leverage unused resources and bandwidth of an existing Wi-Fi infrastructure to provide Wi-Fi access to on-the-go subscribers. However, the number of Wi-Fi access points in a hotspot network can be in the order of millions. Managing so many access points can be difficult for hotspot operators. Accordingly, it is desirable to have a system to efficiently manage hotspot Wi-Fi access points to optimize the bandwidth of the hotspot network.
Embodiments of the present disclosure relate to automatically managing a plurality of Wi-Fi access points in a hotspot network and enhancing mobility in secure network environments.
According to aspects of the disclosure, a management system in a cloud computing environment implements a method for automatically managing a plurality of Wi-Fi access points in a network. The method can include the step of receiving information from each of the plurality of Wi-Fi access points in the network. The method can also include the step of analyzing the received information from each Wi-Fi access point to determine at least one operation condition of at least one Wi-Fi access and the step of determining at least one new operation setting for the at least one Wi-Fi access point based on the analyzed information. The method can also include the step of configuring the at least one Wi-Fi access point based on the at least one new operation setting, whereby the at least one Wi-Fi access point is remotely configured by the management system.
According to aspects of the disclosure, the method can also include the steps of receiving a first encryption key for a first session between a first Wi-Fi access point and a first Wi-Fi enabled device and storing the first encryption key in a database implemented in the cloud computing environment. The method can also include the steps of retrieving the first encryption key from the database and providing the first encryption key to at least one of the first Wi-Fi access point, the first Wi-Fi enabled device, and a second Wi-Fi access point.
According to aspects of the disclosure, a system for automatically managing a plurality of Wi-Fi access points in a network is disclosed. The system can comprise a processor configured to run a module stored in memory that can be configured to cause the processor to receive information from each of the plurality of Wi-Fi access points in the network. The processor can also be configured to analyze the received information from each Wi-Fi access point to determine at least one operation condition of at least one Wi-Fi access and determine at least one new operation setting for the at least one Wi-Fi access point based on the analyzed information. The processor can also be configured to configure the at least one Wi-Fi access point based on the at least one new operation setting, whereby the at least one Wi-Fi access point is remotely configured by the system.
According to aspects of the disclosure, the processor can also be configured to receive a first encryption key for a first session between a first Wi-Fi access point and a first Wi-Fi enabled device and store the first encryption key in a database implemented in the cloud computing environment. The processor can also be configured to retrieve the first encryption key from the database and provide the first encryption key to at least one of the first Wi-Fi access point, the first Wi-Fi enabled device, and a second Wi-Fi access point.
According to aspects of the disclosure, a non-transitory computer readable medium having executable instructions is provided. The non-transitory computer readable medium has executable instructions operable to cause an apparatus to receive information from each of the plurality of Wi-Fi access points in the network, analyze the received information from each Wi-Fi access point to determine at least one operation condition of at least one Wi-Fi access, determine at least one new operation setting for the at least one Wi-Fi access point based on the analyzed information, and configure the at least one Wi-Fi access point based on the at least one new operation setting, whereby the at least one Wi-Fi access point is remotely configured by the system.
According to aspects of the disclosure, the executable instructions can also be operable to further cause the apparatus to receive a first encryption key for a first session between a first Wi-Fi access point and a first Wi-Fi enabled device, store the first encryption key in a database implemented in the cloud computing environment, retrieve the first encryption key from the database, and provide the first encryption key to at least one of the first Wi-Fi access point, the first Wi-Fi enabled device, and a second Wi-Fi access point.
Before explaining example embodiments consistent with the present disclosure in detail, it is to be understood that the disclosure is not limited in its application to the details of constructions and to the arrangements set forth in the following description or illustrated in the drawings. The disclosure is capable of embodiments in addition to those described and is capable of being practiced and carried out in various ways. Also, it is to be understood that the phraseology and terminology employed herein, as well as in the abstract, are for the purpose of description and should not be regarded as limiting.
It is to be understood that both the foregoing general description and the following detailed description are explanatory only and are not restrictive of the claimed subject matter.
The accompanying drawings, which are incorporated in and constitute part of this specification, and together with the description, illustrate and serve to explain the principles of various example embodiments.
In the following description, numerous specific details are set forth regarding the systems and methods of the disclosed subject matter and the environment in which such systems and methods may operate, etc., in order to provide a thorough understanding of the disclosed subject matter. It will be apparent to one skilled in the art, however, that the disclosed subject matter may be practiced without such specific details, and that certain features, which are well known in the art, are not described in detail in order to avoid unnecessary complication of the disclosed subject matter. In addition, it will be understood that the embodiments provided below are exemplary, and that it is contemplated that there are other systems and methods that are within the scope of the disclosed subject matter.
In the arrangement illustrated in
However, the entire hotspot network, for example Comcast's “Xfinity®” hotspot network, can have millions of access points. Managing all APs in a hotspot network cannot happen manually. According to aspects of the invention, a management system that can be implemented in a cloud service running in a data center can connect to every hotspot Wi-Fi AP of a particular hotspot network and can automatically manage and configure the hotspot Wi-Fi APs to efficiently utilize the hotspot resources.
This is illustrated in
The hotspot network of
According to embodiments of the present invention, using the RRM profile, the management system 230 can remotely manage and tune the APs in the hotspot network. For example, using the RRM profile the management system 230 can detect dead APs, channel collisions, and load imbalances. Management system 230 can also make power adjustments to the hotspot network APs. Details of the RRM profile are provided in section 8, Appendix G of U.S. Provisional Application No. 61/941,135, the contents of which are incorporated herein in their entirety. Details of the RRM profile are also provided below.
Radio optimization 302 can include channel spacing, band steering, SSID steering, transmit power adjusting, and modulation and coding scheme (MCS) threshold setting. For example, if two Wi-Fi hotspots are operating at a first channel, e.g., channel 1, the disclosed management system can automatically change the operating channel of one of the Wi-Fi hotspots to a second channel, e.g., channel 11, to minimize interference. Similarly, if two Wi-Fi hotspots are connected to user devices on the same frequency band, e.g., 2.4 GHz, the disclosed management system can automatically move one of the Wi-Fi hotspots to a different frequency band, e.g., 5 GHz, to reduce the interference between the two sessions. Moreover, the disclosed management system can automatically move different devices to different SSIDs to increase the data rate of the entire hotspot network. According to aspects of the invention, another optimization relates to adjusting the transmission power of two neighboring Wi-Fi APs. If, for example, the management system detects that one Wi-Fi AP causes interference to a user device that communicates with a neighboring AP, then the management system can reduce the transmit power of the first Wi-Fi AP, to shrink the hotspot area of the first AP and consequently to minimize the interference.
A characteristic of Wi-Fi user devices, e.g., smartphones, is that they try to connect and maintain a connection with a particular Wi-Fi access point as long as they can. For example, once a Wi-Fi user device connects to a particular AP, it remains attached to the same AP, even after the connection conditions have changed, e.g., after the user has moved far from the AP. This is the situation, even when there are better options available, e.g., a different AP is closer to the user device and can offer better connection. The disclosed management system can be aware of the state of all Wi-Fi APs in the network and can implement policies that can increase the total data rate of the hotspot network. For example, a policy can specify that if a Wi-Fi AP cannot maintain a particular data rate with a connected Wi-Fi user device, it can disconnect from the user device, if there are other APs in the area of the user device that it can connect to and can provide better data rate.
As discussed above, the disclosed management system can steer the Wi-Fi environment to provide optimum data rates to user devices connected to a hotspot network. In addition, the management system can enhance mobility in environments where users can frequently move, e.g., office buildings. Secure mobility 304 can include mobility enhancements such as, “dead” AP detection, mobility optimizations, and automatic neighbor relations. The disclosed management system can be aware of the “dead” Wi-Fi access points, e.g., inoperative APs, and can, therefore, adjust the behavior of neighboring operating APs, e.g., increase the transmit power, to compensate for the “dead” APs.
In addition, when a user device moves from one Wi-Fi AP to another Wi-Fi AP within a secure Wi-Fi network, re-attachment should happen as quickly as possible to avoid any latencies and interruption of service. According to aspects of the disclosure, the management system can cache authentication keys for a particular session between a Wi-Fi AP and a user device. When the user device attaches to a different Wi-Fi AP, then the management system can pass the cached authentication keys to the new session. Accordingly, the time to re-authenticate can reduce significantly for user devices that move among various APs. For example, the system can implement Opportunistic Key Caching (OKC) or 802.11 FT for authentication between multiple APs.
According to aspects of the disclosure, the management system can be aware of the location of each Wi-Fi AP and can automatically create neighboring Wi-Fi AP maps.
According to aspects of the disclosure, every hotspot can send updated information on particular configurable time intervals, for example, every minute, with current Wi-Fi environment and conditions. For example, the Wi-Fi APs can send information relating to the number of connected devices, the corresponding data rates, neighboring Wi-Fi AP maps, historical usage information, overall load, interference metrics, and device attachment attempts. Analytics collection 306 can include generating statistical data and analytics that can provide insight on how the hotspot network behaves, and then can make the adjustments to the hotspot Wi-Fi APs by processing the information that is received from all Wi-Fi APs.
As discussed above, management system 408 can communicate with the hotspot APs through a profile, for example a TR-069/181 radio resource management (RRM) profile. For example,
When user device 612 is within a particular neighbor group, for example, neighbor group 606, it can connect to a Wi-Fi AP within the group. The particular session will be authenticated, for example, through WAG 604 and AAA database 614. The authentication keys for the particular session can be saved into database 624 and can be re-used when user device has moved into a different neighbor group, for example, neighbor group 608 or 610.
This is illustrated in
According to aspects of the disclosure,
User device 802 can move to a location in range of target AP/HGW 806 (step 822). User device 802 can send a re-association request 824 to target AP/HGW 806 (step 824). Target AP/HGW 806 can send a RADIUS Access Request 826 to WAG/AAA Proxy 808, which in turn can respond with the cached PMKID (828). When target AP/HGW 806 receives the cached PMKID, it can match it with the new session (step 830) and can send to user device 802 a re-association success message 832. Because the PMKID is retrieved from the cached location and not the AAA server 810, the overhead on the AAA server 810 can be reduced.
According to alternative aspects,
Specifically,
When WAG/AAA Proxy server 906 receives the RADIUS Access Accept message, it caches the authentications keys for the particular session (step 926) and transfers the RADIUS Access Accept keys to AP 904 (step 928). AP 904 can then send an EAP success message to user device 902 (step 930). User device 902 and AP 904 can then perform a four-way handshake (step 932) where AP 904 can deliver the PMKID for the security association of PMK in the first message of the four-way exchange, as illustrated in
As illustrated in
Details of the RRM profile are described below.
The subject matter described herein can be implemented in digital electronic circuitry, or in computer software, firmware, or hardware, including the structural means disclosed in this specification and structural equivalents thereof, or in combinations of them. The subject matter described herein can be implemented as one or more computer program products, such as one or more computer programs tangibly embodied in an information carrier (e.g., in a machine readable storage device), or embodied in a propagated signal, for execution by, or to control the operation of, data processing apparatus (e.g., a programmable processor, a computer, or multiple computers). A computer program (also known as a program, software, software application, or code) can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment. A computer program does not necessarily correspond to a file. A program can be stored in a portion of a file that holds other programs or data, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub programs, or portions of code). A computer program can be deployed to be executed on one computer or on multiple computers at one site or distributed across multiple sites and interconnected by a communication network.
The processes and logic flows described in this specification, including the method steps of the subject matter described herein, can be performed by one or more programmable processors executing one or more computer programs to perform functions of the subject matter described herein by operating on input data and generating output. The processes and logic flows can also be performed by, and apparatus of the subject matter described herein can be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application specific integrated circuit).
Processors suitable for the execution of a computer program include, by way of example, both general and special purpose microprocessors, and any one or more processor of any kind of digital computer. Generally, a processor will receive instructions and data from a read only memory or a random access memory or both. The essential elements of a computer are a processor for executing instructions and one or more memory devices for storing instructions and data. Generally, a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto optical disks, or optical disks. Information carriers suitable for embodying computer program instructions and data include all forms of nonvolatile memory, including by way of example semiconductor memory devices, (e.g., EPROM, EEPROM, and flash memory devices); magnetic disks, (e.g., internal hard disks or removable disks); magneto optical disks; and optical disks (e.g., CD and DVD disks). The processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.
To provide for interaction with a user, the subject matter described herein can be implemented on a computer having a display device, e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor, for displaying information to the user and a keyboard and a pointing device, (e.g., a mouse or a trackball), by which the user can provide input to the computer. Other kinds of devices can be used to provide for interaction with a user as well. For example, feedback provided to the user can be any form of sensory feedback, (e.g., visual feedback, auditory feedback, or tactile feedback), and input from the user can be received in any form, including acoustic, speech, or tactile input.
The subject matter described herein can be implemented in a computing system that includes a back end component (e.g., a data server), a middleware component (e.g., an application server), or a front end component (e.g., a client computer having a graphical user interface or a web browser through which a user can interact with an implementation of the subject matter described herein), or any combination of such back end, middleware, and front end components. The components of the system can be interconnected by any form or medium of digital data communication, e.g., a communication network. Examples of communication networks include a local area network (“LAN”) and a wide area network (“WAN”), e.g., the Internet.
It is to be understood that the disclosed subject matter is not limited in its application to the details of construction and to the arrangements of the components set forth in the following description or illustrated in the drawings. The disclosed subject matter is capable of other embodiments and of being practiced and carried out in various ways. Also, it is to be understood that the phraseology and terminology employed herein are for the purpose of description and should not be regarded as limiting.
As such, those skilled in the art will appreciate that the conception, upon which this disclosure is based, may readily be utilized as a basis for the designing of other structures, methods, and systems for carrying out the several purposes of the disclosed subject matter. It is important, therefore, that the claims be regarded as including such equivalent constructions insofar as they do not depart from the spirit and scope of the disclosed subject matter.
Although the disclosed subject matter has been described and illustrated in the foregoing exemplary embodiments, it is understood that the present disclosure has been made only by way of example, and that numerous changes in the details of implementation of the disclosed subject matter may be made without departing from the spirit and scope of the disclosed subject matter, which is limited only by the claims which follow.
This application claims priority under 35 U.S.C. §119(e) of U.S. Provisional Application No. 61/941,135, filed Feb. 18, 2014, entitled “CLOUD CONTROLLER FOR SELF-OPTIMIZED NETWORKS,” the entire contents of which are incorporated by reference herein in their entirety.
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