Patent Application
20220295309
Particular embodiments relate to wireless communication, and more specifically to data sharing in radio resource management.
Generally, all terms used herein are to be interpreted according to their ordinary meaning in the relevant technical field, unless a different meaning is clearly given and/or is implied from the context in which it is used. All references to a/an/the element, apparatus, component, means, step, etc. are to be interpreted openly as referring to at least one instance of the element, apparatus, component, means, step, etc., unless explicitly stated otherwise. The steps of any methods disclosed herein do not have to be performed in the exact order disclosed, unless a step is explicitly described as following or preceding another step and/or where it is implicit that a step must follow or precede another step. Any feature of any of the embodiments disclosed herein may be applied to any other embodiment, wherever appropriate. Likewise, any advantage of any of the embodiments may apply to any other embodiments, and vice versa. Other objectives, features, and advantages of the enclosed embodiments will be apparent from the following description.
Fifth generation (5G) radio networks are more disaggregated than fourth generation (4G) radio networks, meaning that the radio-network is subdivided into a multitude of components that interwork across standardized interfaces and well-defined application programming interfaces (APIs). This is partly specified in Third Generation Partnership Project (3GPP) specifications that define the radio access network (RAN) components such as distributed unit (DU), central unit control plane (CU-CP) and central unit user plane (CU-UP) interworking over the standardized E1 and F1 interfaces. The Open RAN (O-RAN) industry initiative (www.o-ran.org) takes RAN disaggregation even further by specifying the components O-RAN radio unit (O-RU), O-RAN distributed unit (O-DU), O-RAN central unit control plane (O-CU-CP), near real time RAN intelligent controller (NearRT-RIC) and non-real time RAN intelligent controller (NonRT-RIC) interworking across the E2 and A1 interfaces. An example is illustrated in
Another industry development that drives towards automated and data-driven RAN optimization is referred to as closed-loop automation (CLA). CLA means that a logical function collects relevant data from the RAN and other parts of the system, analyzes the data and can change the behavior of the RAN based on the analysis. An example of CLA is a self-optimizing network (SON) where a management function can collect RAN data, analyze the data and based on the analysis do RAN configuration changes, e.g. adjust antenna tilt angles.
O-RAN also defines the logical component NonRT-RIC that does CLA on time scales of seconds and up (i.e., on longer time-scales than the NearRT-RIC). The NonRT-RIC is defined as part of the service management and orchestration (SMO) system, also referred to as a network management system (NMS).
Thus, the NonRT-RIC has access to a richer set of data than the NearRT-RIC because it in principle can access any data kept by the SMO. Examples of data available to the NonRT-RIC that in the existing O-RAN technology is not available to the NearRT-RIC include data related to the transport network, data related to the packet core network, application-level data and accurate user equipment (UE) positioning data.
The NonRT-RIC can change the RAN behavior using signals over the A1 interface and using RAN reconfiguration instructions communicated over the O1 interface. Using the above-mentioned data, its analytical capabilities, and the A1/O1 interface, the NonRT-RIC is designed for RAN CLA on time scales of seconds and up.
In the O-RAN architecture, the NonRT-RIC and the NearRT-RIC complement each other. The network function NearRT-RIC does RRM on 100 ms time scales using fine-granular real-time data available in the RAN. The SMO function NonRT-RIC does CLA on seconds-and-up time scales based on richer data sets using the A1 and O1 interfaces to impact the RAN behavior.
O-RAN also includes the concept of xAPPs and rAPPs. An example is illustrated in
As illustrated, in the xAPP architecture, the NearRT-RIC is further divided in a framework part and a multitude of xAPPs. The framework part is responsible for the terminating the interfaces E2 and A1. The NearRT-RIC further exposes an API (e.g., R1 interface) towards the xAPPs.
The xAPPs are logical entities responsible for the NearRT-RIC RRM. A benefit of the framework/xAPP architecture is that a multitude of different xAPPs with different design can work in parallel, controlling different areas, different UEs, and be activated/deactivated based on network conditions. The xAPPs realize the NearRT-RIC RRM by consuming the RAN data and use the E2 interface, via the NearRT-RIC framework, to control handovers and radio bearers.
Another feature of the xAPP architecture is that an xAPP can be constructed not to provide RRM decision, but rather to read data primitives, analyze the primitives, and construct more refined data. The refined data can in turn be published on the NearRT-RIC framework API for other xAPPs to consume. One example out of many may be that the primitive data consist of interference measurements from the UEs, published over the API. An xAPP “a” reads the interference measurements and uses this to predict future interference levels. The xAPP “a” then publishes the predicted interference levels as refined data. An xAPP “b” is designed to consume the predicted interference levels (refined data) and based on this xAPP “b” makes handover decisions to mitigate future interference congestion.
The NonRT-RIC has a similar structure with a framework part and a set of applications, referred to as rAPPs, to distinguish from xAPPs. In the NonRT-RIC, the rAPPs are responsible for the CLA. The framework terminates the A1 interface and interacts with the SMO. The framework mediates the data from the SMO to the rAPPs and mediates A1 and O1 messages from the rAPPs to the RAN. Like with the NearRT-RIC xAPPs, there may be rAPPs whose sole purpose is to refine data, i.e. read available data, process the data, and construct more complex data elements that can be exposed in the NonRT-RIC platform for other rAPPs to use.
There currently exist certain challenges with the O-RAN architecture. For example, one problem with the O-RAN architecture is that the information in the NonRT-RIC cannot be shared with the xAPPs in the NearRT-RIC. This means that the xAPPs in the NearRT-RIC and the associated radio resource management decisions can only use data originating in the RAN.
As an example, an xAPP doing handover decisions can base its decision on link quality measures as reported by base stations and mobile terminals, but the xAPP cannot use information about end-user services, transport network bottlenecks, or the global positioning system (GPS) location of mobile terminals because this data is not originating in the RAN.
In contrast, much of the non-RAN data is available in the NonRT-RIC. Furthermore, data produced by the rAPPs cannot be used by the xAPPs because with the present O-RAN solution there is no way for an rAPP to share its data with an xAPP.
As described above, certain challenges currently exist with open radio access network (O-RAN) architecture. Certain aspects of the present disclosure and their embodiments may provide solutions to these or other challenges.
For example, the O-RAN architecture includes an A1 interface connecting the non-real time radio access network intelligent controller (NonRT-RIC) (in the management system) with the near real time radio access network intelligent controller (NearRT-RIC) (a network function). The A1 interface carries policies on how to use resources and how to prioritize users from the NonRT-RIC and the NearRT-RIC. The A1 interface may also contain an information signal referred to as Enrichment Information (EI).
Particular embodiments use the A1 EI elements to carry relevant data from the rAPPs in the NonRT-RIC to the xAPPs in the NearRT-RIC. For example, an rAPP may create an A1 EI message that in its data field contains the data the rAPP wants to send to an xAPP. Some embodiments may use identities to represent the type of information carried in the EI. The rAPP may attach identities to an EI signal so that an xAPP can subscribe to and consume EI messages that contain the relevant type of data. In a data bus implementation in the NearRT-RIC framework, the identity may translate into a data but topic.
In some embodiments, the data field in the A1 EI signal may contain any type of information so that rAPPs can evolve and produce evermore useful information as the xAPPs evolve. The openness and capability drive innovation where rAPPs can evolve to produce richer and more sophisticated data (such as predictions and quality of experience metrics for new services) in parallel to evolving the xAPPs to make use of that data.
Some embodiments use the openness of the A1 EI field to not specify, and thus restrict, the type of data that can be transferred from the NonRT-RIC to the NearRT-RIC.
Some embodiments may use streaming protocols for the A1 interface to signal the EI messages in close to real time from the rAPPs to the xAPPs. In some embodiments, rAPPs may publish their EI information to the xAPPs over the A1 interface, and xAPPS may subscribe to EI information from the rAPPs.
According to some embodiments, a method performed by a NonRT-RIC network node comprises obtaining data for improving radio resource management (RRM) of a radio access network (RAN) and building an A1 interface message comprising one or more EI elements based on the obtained data. Each of the one or more EI elements comprises an identifier of one or more wireless devices, a type indicator indicating a type of enrichment data included in the EI element, and the enrichment data. The method further comprises transmitting the A1 interface message to a NearRT-RIC.
In particular embodiments, the enrichment data comprises any one or more of an enterprise policy to be applied to the RAN, a device profile, weather information, Internet-of-Things (IoT) device data, such as a drone description, smart meter data, and connected car data.
In particular embodiments, obtaining data for improving RRM of the RAN comprises obtaining location information from a first responder network. The enrichment data comprises service assurance policy information for one or more wireless devices to adjust a quality of experience (QoE) value for the one or more wireless devices.
In particular embodiments, obtaining data for improving RRM of the RAN comprises obtaining one or more of data representing geographical zones where drones are not allowed to fly and data representing mobility predictions for one or more drones. The enrichment data comprises an indication to disconnect one or more drones from the RAN.
In particular embodiments, the NonRT-RIC network node comprises one or more rAPPs and NearRT-RIC network node comprises one or more xAPPs.
According to some embodiments, a NonRT-RIC network node comprises processing circuitry operable to perform any of the NonRT-RIC network node methods described above.
According to some embodiments, a method performed by a NearRT-RIC network node comprises receiving an A1 interface message from a NonRT-RIC network node. The A1 message comprises one or more EI elements. Each of the one or more EI elements comprises an identifier of one or more wireless devices, a type indicator indicating a type of enrichment data included in the EI element, and the enrichment data. The method further comprises performing RRM for a RAN based on the one or more EI elements.
In particular embodiments, the enrichment data comprises any one or more of an enterprise policy to be applied to the RAN, a device profile, weather information, Internet-of-Things (IoT) device data, such as a drone description, smart meter data, and connected car data.
In particular embodiments, the enrichment data is based on location information from a first responder network and performing RRM comprises adjusting a quality of experience (QoE) value for the one or more wireless devices.
In particular embodiments the enrichment data comprises an indication to disconnect one or more drones from the RAN and performing RRM comprises disconnecting one or more drones from the RAN.
In particular embodiments, the NonRT-RIC network node comprises one or more rAPPs and NearRT-RIC network node comprises one or more xAPPs.
According to some embodiments, a NearRT-RIC network node comprises processing circuitry operable to perform any of the NearRT-RIC network node methods described above.
Also disclosed is a computer program product comprising a non-transitory computer readable medium storing computer readable program code, the computer readable program code operable, when executed by processing circuitry to perform any of the methods performed by the NonRT-RIC network node described above.
Another computer program product comprises a non-transitory computer readable medium storing computer readable program code, the computer readable program code operable, when executed by processing circuitry to perform any of the methods performed by the NearRT-RIC network node described above.
Certain embodiments may provide one or more of the following technical advantages. For example, one advantage of particular embodiments is that the RRM algorithms can use as input data that is available only in the management system and thus make more accurate RRM decisions. This leads to higher spectrum efficiency, better end-user performance, and higher network capacity.
A further advantage is that particular embodiments enable an openness in the information that is signaled between the management system and the radio network. This leads to an evolution path where the applications in the management system (e.g., the rAPPs) and the RRM algorithms in the RAN (e.g., the xAPPs) can evolve over time as new services and more sophisticated RRM algorithms are developed.
Yet another advantage is that for systems using artificial intelligence (AI) and machine learning (ML), richer data sets can be provided as input to AI/ML algorithms executing in the RAN, both in the training process and in the inference process.
For a more complete understanding of the disclosed embodiments and their features and advantages, reference is now made to the following description, taken in conjunction with the accompanying drawings, in which:
As described above, certain challenges currently exist with open radio access network (O-RAN) architecture. For example, one problem with the O-RAN architecture is that the information in the non-real time radio access network intelligent controller (NonRT-RIC) cannot be shared with the xAPPs in the near real time radio access network intelligent controller (NearRT-RIC). This means that the xAPPs in the NearRT-RIC and the associated radio resource management decisions can only use data originating in the RAN.
Certain aspects of the present disclosure and their embodiments may provide solutions to these or other challenges. For example, particular embodiments use the A1 enrichment information (EI) elements to carry relevant data from the rAPPs in the NonRT-RIC to the xAPPs in the NearRT-RIC.
Particular embodiments are described more fully with reference to the accompanying drawings. Other embodiments, however, are contained within the scope of the subject matter disclosed herein, the disclosed subject matter should not be construed as limited to only the embodiments set forth herein; rather, these embodiments are provided by way of example to convey the scope of the subject matter to those skilled in the art.
As described above, the O-RAN architecture includes an A1 interface connecting the NonRT-RIC with the NearRT-RIC. The A1 interface carries policies on how to use resources and how to prioritize users from the NonRT-RIC and the NearRT-RIC.
The UE identity field identifies one or more UEs for which the enrichment data is intended. The UE identity field may comprise one or more identities. The type field (illustrated as policy type), identifies what kind of data is in the enrichment data field. The enrichment data field contains the enrichment data intended for one or more UEs.
The enrichment data may include information about the one or more UEs from a non-RAN data source, such as an enterprise (e.g., first responders, city government, etc.). The enrichment data may include a recommendation of content (e.g., list of movies, books, electronic books, consumer merchandise, etc.). The enrichment data may include weather pattern information, IoT (Internet of Things) device profile and/or data (e.g., drone, smart meter, connected car, etc.), or any suitable information used for RRM decision making.
In some embodiments, multiple EI data may be sent from the Service, Management and Orchestration (SMO) system to the RAN (e.g., Near-RT-RIC). Particular embodiments use a transport protocol that can send a burst of EI data in a short interval (e.g., thousands of EI data per minute).
Some example applications are described with respect to
Each firefighter 4 may be streaming live video of the fire. Each firefighter 4 may receive a different level of service. An example is illustrated in
On the vertical axis is the QoE target for the mobile broadband slice used by civilians 5, and the QoE target for the first responder slice used by firefighters 4. Even though each of firefighters 4 are receiving a QoE over the target value, some firefighters 4 are receiving a better QoE than others.
For live streaming purposes, it is beneficial if firefighter 4a closest to the fire at structure 6 has a higher QoE because that firefighter may have a better view of structure 6 than the other firefighters. The RAN alone, however, does not have enough information to determine which firefighter to prioritize. Although the RAN may know the geographical location of each firefighter, the RAN does not have information about the location of the fire. Accordingly, some embodiments include an application to monitor the locations of first responders and/or civilians and modify their priorities to improve the QoE of the first responder closest to the emergency. An example is illustrated in
At step 2, the rAPP sends enrichment information over the A1 interface to the NearRT-RIC. The enrichment information may include policy updates for relevant UEs (e.g., UEs in proximity to firefighter 4a) to increase the QoE for firefighter 4a. The policy updates may include increasing priorities for firefighter 4a and decreasing priorities for other firefighters 4 and/or civilians 5.
At step 3 the NearRT-RIC, O-CU-CP and O-DU modify the priority for the selected UEs. The O-DU may update scheduling policies. The results of the policy updates are illustrated in
Although the particular example illustrates a first responder scenario, other embodiments may provide service assurance for any number of scenarios. In general, an rAPP may obtain performance monitoring data and application data from any number and/or type of users and adjust a QoE based an any suitable criteria (e.g., QoE is not good for a threshold number of UEs). Adjusting a QoE may include modifying priorities, adjusting available bandwidth, etc.
As another example,
At step 1, the network management system obtains data representing geographical zones where drones are not allowed to fly. At step 2, R-APP2 obtains data representing mobility predictions for one or more UEs. At step 3, R-APP3 obtains data representing drone identification for one or more UEs.
At step 4, R-APP1 is subscribed to receive the data representing geographical zones where drones are not allowed to fly, output from R-APP2 representing mobility predictions for one or more UEs, and output from R-APP3 representing drone identification for one or more UEs. Using the subscribed to information, R-APP1 identifies drones that are about to enter a restricted zone.
At step 5, R-APP3 put UE identifiers for suspicious drones that should be disconnected from the network into an A1 enrichment information element and send the enrichment information to X-APP1. At step 6, X-APP1 reads the enrichment information and determines whether to disconnect the associated UE. At step 7, a disconnect UE E2 message is sent to the appropriate O-CU-CP.
Although two examples are illustrated, other combination of rAPPs, xAPPs, and enrichment information may be used for other applications. Some examples include using network management information to update or validate automatic neighbor relation (ANR) configuration.
Though particular embodiments may be described herein in the context of O-RAN, the absence of non-RAN data input to RRM decisions is a general problem in cellular networks. Though particular embodiments are presented in the form of O-RAN A1 interface and enrichment information, the general principle of using a network interface to enable data sharing between a management system and a radio network in a standardized way is also applicable to 3GPP systems without O-RAN extensions.
The O-RAN architecture described herein may be implemented within a wireless network, such as the network described with respect to
Network 106 may comprise one or more backhaul networks, core networks, IP networks, public switched telephone networks (PSTNs), packet data networks, optical networks, wide-area networks (WANs), local area networks (LANs), wireless local area networks (WLANs), wired networks, wireless networks, metropolitan area networks, and other networks to enable communication between devices.
Network node 160 and WD 110 comprise various components described in more detail below. These components work together to provide network node and/or wireless device functionality, such as providing wireless connections in a wireless network. In different embodiments, the wireless network may comprise any number of wired or wireless networks, network nodes, base stations, controllers, wireless devices, relay stations, and/or any other components or systems that may facilitate or participate in the communication of data and/or signals whether via wired or wireless connections.
As used herein, network node refers to equipment capable, configured, arranged and/or operable to communicate directly or indirectly with a wireless device and/or with other network nodes or equipment in the wireless network to enable and/or provide wireless access to the wireless device and/or to perform other functions (e.g., administration) in the wireless network.
Examples of network nodes include, but are not limited to, access points (APs) (e.g., radio access points), base stations (BSs) (e.g., radio base stations, Node Bs, evolved Node Bs (eNBs) and NR NodeBs (gNBs)). Base stations may be categorized based on the amount of coverage they provide (or, stated differently, their transmit power level) and may then also be referred to as femto base stations, pico base stations, micro base stations, or macro base stations.
A base station may be a relay node or a relay donor node controlling a relay. A network node may also include one or more (or all) parts of a distributed radio base station such as centralized digital units and/or remote radio units (RRUs), sometimes referred to as Remote Radio Heads (RRHs). Such remote radio units may or may not be integrated with an antenna as an antenna integrated radio. Parts of a distributed radio base station may also be referred to as nodes in a distributed antenna system (DAS). Yet further examples of network nodes include multi-standard radio (MSR) equipment such as MSR BSs, network controllers such as radio network controllers (RNCs) or base station controllers (BSCs), base transceiver stations (BTSs), transmission points, transmission nodes, multi-cell/multicast coordination entities (MCEs), core network nodes (e.g., MSCs, MMEs), O&M nodes, OSS nodes, SON nodes, positioning nodes (e.g., E-SMLCs), and/or MDTs.
As another example, a network node may be a virtual network node as described in more detail below. More generally, however, network nodes may represent any suitable device (or group of devices) capable, configured, arranged, and/or operable to enable and/or provide a wireless device with access to the wireless network or to provide some service to a wireless device that has accessed the wireless network. In some embodiments, the network mode may comprise an O-RAN network node.
In
It is to be understood that a network node comprises any suitable combination of hardware and/or software needed to perform the tasks, features, functions and methods disclosed herein. Moreover, while the components of network node 160 are depicted as single boxes located within a larger box, or nested within multiple boxes, in practice, a network node may comprise multiple different physical components that make up a single illustrated component (e.g., device readable medium 180 may comprise multiple separate hard drives as well as multiple RAM modules).
Similarly, network node 160 may be composed of multiple physically separate components (e.g., a NodeB component and a RNC component, or a BTS component and a BSC component, etc.), which may each have their own respective components. In certain scenarios in which network node 160 comprises multiple separate components (e.g., BTS and BSC components), one or more of the separate components may be shared among several network nodes. For example, a single RNC may control multiple NodeB's. In such a scenario, each unique NodeB and RNC pair, may in some instances be considered a single separate network node.
In some embodiments, network node 160 may be configured to support multiple radio access technologies (RATs). In such embodiments, some components may be duplicated (e.g., separate device readable medium 180 for the different RATs) and some components may be reused (e.g., the same antenna 162 may be shared by the RATs). Network node 160 may also include multiple sets of the various illustrated components for different wireless technologies integrated into network node 160, such as, for example, GSM, WCDMA, LTE, NR, WiFi, or Bluetooth wireless technologies. These wireless technologies may be integrated into the same or different chip or set of chips and other components within network node 160.
Processing circuitry 170 is configured to perform any determining, calculating, or similar operations (e.g., certain obtaining operations) described herein as being provided by a network node. These operations performed by processing circuitry 170 may include processing information obtained by processing circuitry 170 by, for example, converting the obtained information into other information, comparing the obtained information or converted information to information stored in the network node, and/or performing one or more operations based on the obtained information or converted information, and as a result of said processing making a determination.
Processing circuitry 170 may comprise a combination of one or more of a microprocessor, controller, microcontroller, central processing unit, digital signal processor, application-specific integrated circuit, field programmable gate array, or any other suitable computing device, resource, or combination of hardware, software and/or encoded logic operable to provide, either alone or in conjunction with other network node 160 components, such as device readable medium 180, network node 160 functionality.
For example, processing circuitry 170 may execute instructions stored in device readable medium 180 or in memory within processing circuitry 170. Such functionality may include providing any of the various wireless features, functions, or benefits discussed herein. In some embodiments, processing circuitry 170 may include a system on a chip (SOC).
In some embodiments, processing circuitry 170 may include one or more of radio frequency (RF) transceiver circuitry 172 and baseband processing circuitry 174. In some embodiments, radio frequency (RF) transceiver circuitry 172 and baseband processing circuitry 174 may be on separate chips (or sets of chips), boards, or units, such as radio units and digital units. In alternative embodiments, part or all of RF transceiver circuitry 172 and baseband processing circuitry 174 may be on the same chip or set of chips, boards, or units
In certain embodiments, some or all of the functionality described herein as being provided by a network node, base station, eNB, gNB or other such network device may be performed by processing circuitry 170 executing instructions stored on device readable medium 180 or memory within processing circuitry 170. In alternative embodiments, some or all of the functionality may be provided by processing circuitry 170 without executing instructions stored on a separate or discrete device readable medium, such as in a hard-wired manner. In any of those embodiments, whether executing instructions stored on a device readable storage medium or not, processing circuitry 170 can be configured to perform the described functionality. The benefits provided by such functionality are not limited to processing circuitry 170 alone or to other components of network node 160 but are enjoyed by network node 160 as a whole, and/or by end users and the wireless network generally.
Device readable medium 180 may comprise any form of volatile or non-volatile computer readable memory including, without limitation, persistent storage, solid-state memory, remotely mounted memory, magnetic media, optical media, random access memory (RAM), read-only memory (ROM), mass storage media (for example, a hard disk), removable storage media (for example, a flash drive, a Compact Disk (CD) or a Digital Video Disk (DVD)), and/or any other volatile or non-volatile, non-transitory device readable and/or computer-executable memory devices that store information, data, and/or instructions that may be used by processing circuitry 170. Device readable medium 180 may store any suitable instructions, data or information, including a computer program, software, an application including one or more of logic, rules, code, tables, etc. and/or other instructions capable of being executed by processing circuitry 170 and, utilized by network node 160. Device readable medium 180 may be used to store any calculations made by processing circuitry 170 and/or any data received via interface 190. In some embodiments, processing circuitry 170 and device readable medium 180 may be considered to be integrated.
Interface 190 is used in the wired or wireless communication of signaling and/or data between network node 160, network 106, and/or WDs 110. As illustrated, interface 190 comprises port(s)/terminal(s) 194 to send and receive data, for example to and from network 106 over a wired connection. Interface 190 also includes radio front end circuitry 192 that may be coupled to, or in certain embodiments a part of, antenna 162.
Radio front end circuitry 192 comprises filters 198 and amplifiers 196. Radio front end circuitry 192 may be connected to antenna 162 and processing circuitry 170. Radio front end circuitry may be configured to condition signals communicated between antenna 162 and processing circuitry 170. Radio front end circuitry 192 may receive digital data that is to be sent out to other network nodes or WDs via a wireless connection. Radio front end circuitry 192 may convert the digital data into a radio signal having the appropriate channel and bandwidth parameters using a combination of filters 198 and/or amplifiers 196. The radio signal may then be transmitted via antenna 162. Similarly, when receiving data, antenna 162 may collect radio signals which are then converted into digital data by radio front end circuitry 192. The digital data may be passed to processing circuitry 170. In other embodiments, the interface may comprise different components and/or different combinations of components.
In certain alternative embodiments, network node 160 may not include separate radio front end circuitry 192, instead, processing circuitry 170 may comprise radio front end circuitry and may be connected to antenna 162 without separate radio front end circuitry 192. Similarly, in some embodiments, all or some of RF transceiver circuitry 172 may be considered a part of interface 190. In still other embodiments, interface 190 may include one or more ports or terminals 194, radio front end circuitry 192, and RF transceiver circuitry 172, as part of a radio unit (not shown), and interface 190 may communicate with baseband processing circuitry 174, which is part of a digital unit (not shown).
Antenna 162 may include one or more antennas, or antenna arrays, configured to send and/or receive wireless signals. Antenna 162 may be coupled to radio front end circuitry 192 and may be any type of antenna capable of transmitting and receiving data and/or signals wirelessly. In some embodiments, antenna 162 may comprise one or more omni-directional, sector or panel antennas operable to transmit/receive radio signals between, for example, 2 GHz and 66 GHz. An omni-directional antenna may be used to transmit/receive radio signals in any direction, a sector antenna may be used to transmit/receive radio signals from devices within a particular area, and a panel antenna may be a line of sight antenna used to transmit/receive radio signals in a relatively straight line. In some instances, the use of more than one antenna may be referred to as MIMO. In certain embodiments, antenna 162 may be separate from network node 160 and may be connectable to network node 160 through an interface or port.
Antenna 162, interface 190, and/or processing circuitry 170 may be configured to perform any receiving operations and/or certain obtaining operations described herein as being performed by a network node. Any information, data and/or signals may be received from a wireless device, another network node and/or any other network equipment. Similarly, antenna 162, interface 190, and/or processing circuitry 170 may be configured to perform any transmitting operations described herein as being performed by a network node. Any information, data and/or signals may be transmitted to a wireless device, another network node and/or any other network equipment.
Power circuitry 187 may comprise, or be coupled to, power management circuitry and is configured to supply the components of network node 160 with power for performing the functionality described herein. Power circuitry 187 may receive power from power source 186. Power source 186 and/or power circuitry 187 may be configured to provide power to the various components ofnetwork node 160 in a form suitable for the respective components (e.g., at a voltage and current level needed for each respective component). Power source 186 may either be included in, or external to, power circuitry 187 and/or network node 160.
For example, network node 160 may be connectable to an external power source (e.g., an electricity outlet) via an input circuitry or interface such as an electrical cable, whereby the external power source supplies power to power circuitry 187. As a further example, power source 186 may comprise a source of power in the form of a battery or battery pack which is connected to, or integrated in, power circuitry 187. The battery may provide backup power should the external power source fail. Other types of power sources, such as photovoltaic devices, may also be used.
Alternative embodiments of network node 160 may include additional components beyond those shown in
As used herein, wireless device (WD) refers to a device capable, configured, arranged and/or operable to communicate wirelessly with network nodes and/or other wireless devices. Unless otherwise noted, the term WD may be used interchangeably herein with user equipment (UE). Communicating wirelessly may involve transmitting and/or receiving wireless signals using electromagnetic waves, radio waves, infrared waves, and/or other types of signals suitable for conveying information through air.
In some embodiments, a WD may be configured to transmit and/or receive information without direct human interaction. For instance, a WD may be designed to transmit information to a network on a predetermined schedule, when triggered by an internal or external event, or in response to requests from the network.
Examples of a WD include, but are not limited to, a smart phone, a mobile phone, a cell phone, a voice over IP (VoIP) phone, a wireless local loop phone, a desktop computer, a personal digital assistant (PDA), a wireless cameras, a gaming console or device, a music storage device, a playback appliance, a wearable terminal device, a wireless endpoint, a mobile station, a tablet, a laptop, a laptop-embedded equipment (LEE), a laptop-mounted equipment (LME), a smart device, a wireless customer-premise equipment (CPE), a vehicle-mounted wireless terminal device, etc. A WD may support device-to-device (D2D) communication, for example by implementing a 3GPP standard for sidelink communication, vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), vehicle-to-everything (V2X) and may in this case be referred to as a D2D communication device.
As yet another specific example, in an Internet of Things (IoT) scenario, a WD may represent a machine or other device that performs monitoring and/or measurements and transmits the results of such monitoring and/or measurements to another WD and/or a network node. The WD may in this case be a machine-to-machine (M2M) device, which may in a 3GPP context be referred to as an MTC device. As one example, the WD may be a UE implementing the 3GPP narrow band internet of things (NB-IoT) standard. Examples of such machines or devices are sensors, metering devices such as power meters, industrial machinery, or home or personal appliances (e.g. refrigerators, televisions, etc.) personal wearables (e.g., watches, fitness trackers, etc.).
In other scenarios, a WD may represent a vehicle or other equipment that is capable of monitoring and/or reporting on its operational status or other functions associated with its operation. A WD as described above may represent the endpoint of a wireless connection, in which case the device may be referred to as a wireless terminal. Furthermore, a WD as described above may be mobile, in which case it may also be referred to as a mobile device or a mobile terminal.
As illustrated, wireless device 110 includes antenna 111, interface 114, processing circuitry 120, device readable medium 130, user interface equipment 132, auxiliary equipment 134, power source 136 and power circuitry 137. WD 110 may include multiple sets of one or more of the illustrated components for different wireless technologies supported by WD 110, such as, for example, GSM, WCDMA, LTE, NR, WiFi, WiMAX, or Bluetooth wireless technologies, just to mention a few. These wireless technologies may be integrated into the same or different chips or set of chips as other components within WD 110.
Antenna 111 may include one or more antennas or antenna arrays, configured to send and/or receive wireless signals, and is connected to interface 114. In certain alternative embodiments, antenna 111 may be separate from WD 110 and be connectable to WD 110 through an interface or port. Antenna 111, interface 114, and/or processing circuitry 120 may be configured to perform any receiving or transmitting operations described herein as being performed by a WD. Any information, data and/or signals may be received from a network node and/or another WD. In some embodiments, radio front end circuitry and/or antenna 111 may be considered an interface.
As illustrated, interface 114 comprises radio front end circuitry 112 and antenna 111. Radio front end circuitry 112 comprise one or more filters 118 and amplifiers 116. Radio front end circuitry 112 is connected to antenna 111 and processing circuitry 120 and is configured to condition signals communicated between antenna 111 and processing circuitry 120. Radio front end circuitry 112 may be coupled to or a part of antenna 111. In some embodiments, WD 110 may not include separate radio front end circuitry 112; rather, processing circuitry 120 may comprise radio front end circuitry and may be connected to antenna 111. Similarly, in some embodiments, some or all of RF transceiver circuitry 122 may be considered a part of interface 114.
Radio front end circuitry 112 may receive digital data that is to be sent out to other network nodes or WDs via a wireless connection. Radio front end circuitry 112 may convert the digital data into a radio signal having the appropriate channel and bandwidth parameters using a combination of filters 118 and/or amplifiers 116. The radio signal may then be transmitted via antenna 111. Similarly, when receiving data, antenna 111 may collect radio signals which are then converted into digital data by radio front end circuitry 112. The digital data may be passed to processing circuitry 120. In other embodiments, the interface may comprise different components and/or different combinations of components.
Processing circuitry 120 may comprise a combination of one or more of a microprocessor, controller, microcontroller, central processing unit, digital signal processor, application-specific integrated circuit, field programmable gate array, or any other suitable computing device, resource, or combination of hardware, software, and/or encoded logic operable to provide, either alone or in conjunction with other WD 110 components, such as device readable medium 130, WD 110 functionality. Such functionality may include providing any of the various wireless features or benefits discussed herein. For example, processing circuitry 120 may execute instructions stored in device readable medium 130 or in memory within processing circuitry 120 to provide the functionality disclosed herein.
As illustrated, processing circuitry 120 includes one or more of RF transceiver circuitry 122, baseband processing circuitry 124, and application processing circuitry 126. In other embodiments, the processing circuitry may comprise different components and/or different combinations of components. In certain embodiments processing circuitry 120 of WD 110 may comprise a SOC. In some embodiments, RF transceiver circuitry 122, baseband processing circuitry 124, and application processing circuitry 126 may be on separate chips or sets of chips.
In alternative embodiments, part or all of baseband processing circuitry 124 and application processing circuitry 126 may be combined into one chip or set of chips, and RF transceiver circuitry 122 may be on a separate chip or set of chips. In still alternative embodiments, part or all of RF transceiver circuitry 122 and baseband processing circuitry 124 may be on the same chip or set of chips, and application processing circuitry 126 may be on a separate chip or set of chips. In yet other alternative embodiments, part or all of RF transceiver circuitry 122, baseband processing circuitry 124, and application processing circuitry 126 may be combined in the same chip or set of chips. In some embodiments, RF transceiver circuitry 122 may be a part of interface 114. RF transceiver circuitry 122 may condition RF signals for processing circuitry 120.
In certain embodiments, some or all of the functionality described herein as being performed by a WD may be provided by processing circuitry 120 executing instructions stored on device readable medium 130, which in certain embodiments may be a computer-readable storage medium. In alternative embodiments, some or all of the functionality may be provided by processing circuitry 120 without executing instructions stored on a separate or discrete device readable storage medium, such as in a hard-wired manner.
In any of those embodiments, whether executing instructions stored on a device readable storage medium or not, processing circuitry 120 can be configured to perform the described functionality. The benefits provided by such functionality are not limited to processing circuitry 120 alone or to other components of WD 110, but are enjoyed by WD 110, and/or by end users and the wireless network generally.
Processing circuitry 120 may be configured to perform any determining, calculating, or similar operations (e.g., certain obtaining operations) described herein as being performed by a WD. These operations, as performed by processing circuitry 120, may include processing information obtained by processing circuitry 120 by, for example, converting the obtained information into other information, comparing the obtained information or converted information to information stored by WD 110, and/or performing one or more operations based on the obtained information or converted information, and as a result of said processing making a determination.
Device readable medium 130 may be operable to store a computer program, software, an application including one or more of logic, rules, code, tables, etc. and/or other instructions capable of being executed by processing circuitry 120. Device readable medium 130 may include computer memory (e.g., Random Access Memory (RAM) or Read Only Memory (ROM)), mass storage media (e.g., a hard disk), removable storage media (e.g., a Compact Disk (CD) or a Digital Video Disk (DVD)), and/or any other volatile or non-volatile, non-transitory device readable and/or computer executable memory devices that store information, data, and/or instructions that may be used by processing circuitry 120. In some embodiments, processing circuitry 120 and device readable medium 130 may be integrated.
User interface equipment 132 may provide components that allow for a human user to interact with WD 110. Such interaction may be of many forms, such as visual, audial, tactile, etc. User interface equipment 132 may be operable to produce output to the user and to allow the user to provide input to WD 110. The type of interaction may vary depending on the type of user interface equipment 132 installed in WD 110. For example, if WD 110 is a smart phone, the interaction may be via a touch screen; if WD 110 is a smart meter, the interaction may be through a screen that provides usage (e.g., the number of gallons used) or a speaker that provides an audible alert (e.g., if smoke is detected).
User interface equipment 132 may include input interfaces, devices and circuits, and output interfaces, devices and circuits. User interface equipment 132 is configured to allow input of information into WD 110 and is connected to processing circuitry 120 to allow processing circuitry 120 to process the input information. User interface equipment 132 may include, for example, a microphone, a proximity or other sensor, keys/buttons, a touch display, one or more cameras, a USB port, or other input circuitry. User interface equipment 132 is also configured to allow output of information from WD 110, and to allow processing circuitry 120 to output information from WD 110. User interface equipment 132 may include, for example, a speaker, a display, vibrating circuitry, a USB port, a headphone interface, or other output circuitry. Using one or more input and output interfaces, devices, and circuits, of user interface equipment 132, WD 110 may communicate with end users and/or the wireless network and allow them to benefit from the functionality described herein.
Auxiliary equipment 134 is operable to provide more specific functionality which may not be generally performed by WDs. This may comprise specialized sensors for doing measurements for various purposes, interfaces for additional types of communication such as wired communications etc. The inclusion and type of components of auxiliary equipment 134 may vary depending on the embodiment and/or scenario.
Power source 136 may, in some embodiments, be in the form of a battery or battery pack. Other types of power sources, such as an external power source (e.g., an electricity outlet), photovoltaic devices or power cells, may also be used. WD 110 may further comprise power circuitry 137 for delivering power from power source 136 to the various parts of WD 110 which need power from power source 136 to carry out any functionality described or indicated herein. Power circuitry 137 may in certain embodiments comprise power management circuitry.
Power circuitry 137 may additionally or alternatively be operable to receive power from an external power source; in which case WD 110 may be connectable to the external power source (such as an electricity outlet) via input circuitry or an interface such as an electrical power cable. Power circuitry 137 may also in certain embodiments be operable to deliver power from an external power source to power source 136. This may be, for example, for the charging of power source 136. Power circuitry 137 may perform any formatting, converting, or other modification to the power from power source 136 to make the power suitable for the respective components of WD 110 to which power is supplied.
Although the subject matter described herein may be implemented in any appropriate type of system using any suitable components, the embodiments disclosed herein are described in relation to a wireless network, such as the example wireless network illustrated in
In
In
In the depicted embodiment, input/output interface 205 may be configured to provide a communication interface to an input device, output device, or input and output device. UE 200 may be configured to use an output device via input/output interface 205.
An output device may use the same type of interface port as an input device. For example, a USB port may be used to provide input to and output from UE 200. The output device may be a speaker, a sound card, a video card, a display, a monitor, a printer, an actuator, an emitter, a smartcard, another output device, or any combination thereof.
UE 200 may be configured to use an input device via input/output interface 205 to allow a user to capture information into UE 200. The input device may include a touch-sensitive or presence-sensitive display, a camera (e.g., a digital camera, a digital video camera, a web camera, etc.), a microphone, a sensor, a mouse, a trackball, a directional pad, a trackpad, a scroll wheel, a smartcard, and the like. The presence-sensitive display may include a capacitive or resistive touch sensor to sense input from a user. A sensor may be, for instance, an accelerometer, a gyroscope, a tilt sensor, a force sensor, a magnetometer, an optical sensor, a proximity sensor, another like sensor, or any combination thereof. For example, the input device may be an accelerometer, a magnetometer, a digital camera, a microphone, and an optical sensor.
In
RAM 217 may be configured to interface via bus 202 to processing circuitry 201 to provide storage or caching of data or computer instructions during the execution of software programs such as the operating system, application programs, and device drivers. ROM 219 may be configured to provide computer instructions or data to processing circuitry 201. For example, ROM 219 may be configured to store invariant low-level system code or data for basic system functions such as basic input and output (I/O), startup, or reception of keystrokes from a keyboard that are stored in a non-volatile memory.
Storage medium 221 may be configured to include memory such as RAM, ROM, programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), magnetic disks, optical disks, floppy disks, hard disks, removable cartridges, or flash drives. In one example, storage medium 221 may be configured to include operating system 223, application program 225 such as a web browser application, a widget or gadget engine or another application, and data file 227. Storage medium 221 may store, for use by UE 200, any of a variety of various operating systems or combinations of operating systems.
Storage medium 221 may be configured to include a number of physical drive units, such as redundant array of independent disks (RAID), floppy disk drive, flash memory, USB flash drive, external hard disk drive, thumb drive, pen drive, key drive, high-density digital versatile disc (HD-DVD) optical disc drive, internal hard disk drive, Blu-Ray optical disc drive, holographic digital data storage (HDDS) optical disc drive, external mini-dual in-line memory module (DIMM), synchronous dynamic random access memory (SDRAM), external micro-DIMM SDRAM, smartcard memory such as a subscriber identity module or a removable user identity (SIM/RUIM) module, other memory, or any combination thereof Storage medium 221 may allow UE 200 to access computer-executable instructions, application programs or the like, stored on transitory or non-transitory memory media, to off-load data, or to upload data. An article of manufacture, such as one utilizing a communication system may be tangibly embodied in storage medium 221, which may comprise a device readable medium.
In
In the illustrated embodiment, the communication functions of communication subsystem 231 may include data communication, voice communication, multimedia communication, short-range communications such as Bluetooth, near-field communication, location-based communication such as the use of the global positioning system (GPS) to determine a location, another like communication function, or any combination thereof. For example, communication subsystem 231 may include cellular communication, Wi-Fi communication, Bluetooth communication, and GPS communication. Network 243b may encompass wired and/or wireless networks such as a local-area network (LAN), a wide-area network (WAN), a computer network, a wireless network, a telecommunications network, another like network or any combination thereof. For example, network 243b may be a cellular network, a Wi-Fi network, and/or a near-field network. Power source 213 may be configured to provide alternating current (AC) or direct current (DC) power to components of UE 200.
The features, benefits and/or functions described herein may be implemented in one of the components of UE 200 or partitioned across multiple components of UE 200. Further, the features, benefits, and/or functions described herein may be implemented in any combination of hardware, software or firmware. In one example, communication subsystem 231 may be configured to include any of the components described herein. Further, processing circuitry 201 may be configured to communicate with any of such components over bus 202. In another example, any of such components may be represented by program instructions stored in memory that when executed by processing circuitry 201 perform the corresponding functions described herein. In another example, the functionality of any of such components may be partitioned between processing circuitry 201 and communication subsystem 231. In another example, the non-computationally intensive functions of any of such components may be implemented in software or firmware and the computationally intensive functions may be implemented in hardware.
The method may begin at step 812, where the NonRT-RIC network node obtains data for improving RRM of a RAN. For example, the NonRT-RIC network node may comprise a one or more rAPPs for obtaining network management information from one or more sources. For, example rAPPs may obtain information from a wireless operator's network management system (NMS), from external sources such an enterprise systems (e.g., first responder systems, aviation systems, weather systems, government systems, etc.). In particular embodiments, the NonRT-RIC network node may obtain data according to any of the embodiments and examples described herein.
At step 814, the NonRT-RIC network node builds an A1 interface message comprising one or more EI elements based on the obtained data. Each of the one or more EI elements comprises an identifier of one or more wireless devices, a type indicator indicating a type of enrichment data included in the EI element, and the enrichment data.
As one example, the NonRT-RIC network node may obtain geographic location information from a first responder system. The NonRT-RIC network node may use the geographic location information to determine which wireless devices near the geographic location could benefit from an increased QoE. The NonRT-RIC network node may determine service assurance policy parameters to adjust one or more wireless devices. The NonRT-RIC network node may construct an A1 message with an EI element for each of the one more wireless devices. The enrichment data may include adjusted policy information for the wireless devices.
As another example, the NonRT-RIC network node may obtain information about a projected flight path of a drone and information about restricted flight areas. The NonRT-RIC network node may determine that a drone is about to enter a restricted flight area. NonRT-RIC network node may construct an A1 message with an EI element for each drone. The enrichment data may include an instruction to disconnect the drone from the wireless network.
In particular embodiments, the enrichment data comprises any one or more of an enterprise policy to be applied to the RAN, a device profile, weather information, Internet-of-Things (IoT) device data, such as a drone description, smart meter data, and connected car data, or any other suitable data for improving RRM in the RAN. In particular embodiments, the NonRT-RIC network node may build an A1 message according to any of the embodiments and examples described herein.
At step 816, the NonRT-RIC network node transmits the A1 interface message to a NearRT-RIC. In some embodiments, the NearRT-RIC may comprise one or more xAPPs for consuming the EI elements in the A1 message.
Modifications, additions, or omissions may be made to method 800 of
The method begins at step 912, where the NearRT-RIC network node receives an A1 interface message from a NonRT-RIC network node. The A1 message comprises one or more EI elements. Each of the one or more EI elements comprises an identifier of one or more wireless devices, a type indicator indicating a type of enrichment data included in the EI element, and the enrichment data. The A1 message and EI elements may comprise any of the A1 messages and EI elements described with respect to
At step 914, the NearRT-RIC network node performs RRM for a RAN based on the one or more EI elements. For example, the EI elements may include priority adjustments for one or more wireless devices. The NearRT-RIC network node may adjust the priorities for the wireless devices based on the enrichment data in the EI elements. As another example, the EI elements may include a list of wireless devices to disconnect from the network. The NearRT-RIC network node may disconnect the wireless devices. In particular embodiments, the NearRT-RIC network node may perform RRM according to any of the embodiments and examples described herein.
Modifications, additions, or omissions may be made to method 900 of
Virtual apparatus 1700 may comprise processing circuitry, which may include one or more microprocessor or microcontrollers, as well as other digital hardware, which may include digital signal processors (DSPs), special-purpose digital logic, and the like. The processing circuitry may be configured to execute program code stored in memory, which may include one or several types of memory such as read-only memory (ROM), random-access memory, cache memory, flash memory devices, optical storage devices, etc. Program code stored in memory includes program instructions for executing one or more telecommunications and/or data communications protocols as well as instructions for carrying out one or more of the techniques described herein, in several embodiments.
In some implementations, the processing circuitry may be used to cause receiving module 1702, determining module 1704, transmitting module 1706, and any other suitable units of apparatus 1700 to perform corresponding functions according one or more embodiments of the present disclosure.
As illustrated in
Apparatus 1700 includes determining module 1704. For a NonRT-RIC, determining module 1704 is configured to process the information received by receiving module 1702 and create EI elements according to any of the embodiments and examples described herein. For a NearRT-RIC, determining module 1704 is configured to determine what RRM operations to perform based on a received A1 message according to any of the embodiments and examples described herein.
Apparatus 1700 includes transmitting module 1706. For a NonRT-RIC, transmitting module 1706 is configured to transmit an A1 message according to any of the embodiments and examples described herein.
In some embodiments, some or all of the functions described herein may be implemented as virtual components executed by one or more virtual machines implemented in one or more virtual environments 300 hosted by one or more of hardware nodes 330. Further, in embodiments in which the virtual node is not a radio access node or does not require radio connectivity (e.g., a core network node), then the network node may be entirely virtualized.
The functions may be implemented by one or more applications 320 (which may alternatively be called software instances, virtual appliances, network functions, virtual nodes, virtual network functions, etc.) operative to implement some of the features, functions, and/or benefits of some of the embodiments disclosed herein. Applications 320 are run in virtualization environment 300 which provides hardware 330 comprising processing circuitry 360 and memory 390. Memory 390 contains instructions 395 executable by processing circuitry 360 whereby application 320 is operative to provide one or more of the features, benefits, and/or functions disclosed herein.
Virtualization environment 300, comprises general-purpose or special-purpose network hardware devices 330 comprising a set of one or more processors or processing circuitry 360, which may be commercial off-the-shelf (COTS) processors, dedicated Application Specific Integrated Circuits (ASICs), or any other type of processing circuitry including digital or analog hardware components or special purpose processors. Each hardware device may comprise memory 390-1 which may be non-persistent memory for temporarily storing instructions 395 or software executed by processing circuitry 360. Each hardware device may comprise one or more network interface controllers (NICs) 370, also known as network interface cards, which include physical network interface 380. Each hardware device may also include non-transitory, persistent, machine-readable storage media 390-2 having stored therein software 395 and/or instructions executable by processing circuitry 360. Software 395 may include any type of software including software for instantiating one or more virtualization layers 350 (also referred to as hypervisors), software to execute virtual machines 340 as well as software allowing it to execute functions, features and/or benefits described in relation with some embodiments described herein.
Virtual machines 340, comprise virtual processing, virtual memory, virtual networking or interface and virtual storage, and may be run by a corresponding virtualization layer 350 or hypervisor. Different embodiments of the instance of virtual appliance 320 may be implemented on one or more of virtual machines 340, and the implementations may be made in different ways.
During operation, processing circuitry 360 executes software 395 to instantiate the hypervisor or virtualization layer 350, which may sometimes be referred to as a virtual machine monitor (VMM). Virtualization layer 350 may present a virtual operating platform that appears like networking hardware to virtual machine 340.
As shown in
Virtualization of the hardware is in some contexts referred to as network function virtualization (NFV). NFV may be used to consolidate many network equipment types onto industry standard high-volume server hardware, physical switches, and physical storage, which can be located in data centers, and customer premise equipment.
In the context of NFV, virtual machine 340 may be a software implementation of a physical machine that runs programs as if they were executing on a physical, non-virtualized machine. Each of virtual machines 340, and that part of hardware 330 that executes that virtual machine, be it hardware dedicated to that virtual machine and/or hardware shared by that virtual machine with others of the virtual machines 340, forms a separate virtual network elements (VNE).
Still in the context of NFV, Virtual Network Function (VNF) is responsible for handling specific network functions that run in one or more virtual machines 340 on top of hardware networking infrastructure 330 and corresponds to application 320 in
In some embodiments, one or more radio units 3200 that each include one or more transmitters 3220 and one or more receivers 3210 may be coupled to one or more antennas 3225. Radio units 3200 may communicate directly with hardware nodes 330 via one or more appropriate network interfaces and may be used in combination with the virtual components to provide a virtual node with radio capabilities, such as a radio access node or a base station.
In some embodiments, some signaling can be effected with the use of control system 3230 which may alternatively be used for communication between the hardware nodes 330 and radio units 3200.
With reference to
Telecommunication network 410 is itself connected to host computer 430, which may be embodied in the hardware and/or software of a standalone server, a cloud-implemented server, a distributed server or as processing resources in a server farm. Host computer 430 may be under the ownership or control of a service provider or may be operated by the service provider or on behalf of the service provider. Connections 421 and 422 between telecommunication network 410 and host computer 430 may extend directly from core network 414 to host computer 430 or may go via an optional intermediate network 420. Intermediate network 420 may be one of, or a combination of more than one of, a public, private or hosted network; intermediate network 420, if any, may be a backbone network or the Internet; in particular, intermediate network 420 may comprise two or more sub-networks (not shown).
The communication system of
Communication system 500 further includes base station 520 provided in a telecommunication system and comprising hardware 525 enabling it to communicate with host computer 510 and with UE 530. Hardware 525 may include communication interface 526 for setting up and maintaining a wired or wireless connection with an interface of a different communication device of communication system 500, as well as radio interface 527 for setting up and maintaining at least wireless connection 570 with UE 530 located in a coverage area (not shown in
Communication system 500 further includes UE 530 already referred to. Its hardware 535 may include radio interface 537 configured to set up and maintain wireless connection 570 with a base station serving a coverage area in which UE 530 is currently located. Hardware 535 of UE 530 further includes processing circuitry 538, which may comprise one or more programmable processors, application-specific integrated circuits, field programmable gate arrays or combinations of these (not shown) adapted to execute instructions. UE 530 further comprises software 531, which is stored in or accessible by UE 530 and executable by processing circuitry 538. Software 531 includes client application 532. Client application 532 may be operable to provide a service to a human or non-human user via UE 530, with the support of host computer 510. In host computer 510, an executing host application 512 may communicate with the executing client application 532 via OTT connection 550 terminating at UE 530 and host computer 510. In providing the service to the user, client application 532 may receive request data from host application 512 and provide user data in response to the request data. OTT connection 550 may transfer both the request data and the user data. Client application 532 may interact with the user to generate the user data that it provides.
It is noted that host computer 510, base station 520 and UE 530 illustrated in
In
Wireless connection 570 between UE 530 and base station 520 is in accordance with the teachings of the embodiments described throughout this disclosure. One or more of the various embodiments improve the performance of OTT services provided to UE 530 using OTT connection 550, in which wireless connection 570 forms the last segment. More precisely, the teachings of these embodiments may improve the signaling overhead and reduce latency, and thereby provide benefits such as reduced user waiting time, better responsiveness and extended battery life.
A measurement procedure may be provided for monitoring data rate, latency and other factors on which the one or more embodiments improve. There may further be an optional network functionality for reconfiguring OTT connection 550 between host computer 510 and UE 530, in response to variations in the measurement results. The measurement procedure and/or the network functionality for reconfiguring OTT connection 550 may be implemented in software 511 and hardware 515 of host computer 510 or in software 531 and hardware 535 of UE 530, or both. In embodiments, sensors (not shown) may be deployed in or in association with communication devices through which OTT connection 550 passes; the sensors may participate in the measurement procedure by supplying values of the monitored quantities exemplified above or supplying values of other physical quantities from which software 511, 531 may compute or estimate the monitored quantities. The reconfiguring of OTT connection 550 may include message format, retransmission settings, preferred routing etc.; the reconfiguring need not affect base station 520, and it may be unknown or imperceptible to base station 520. Such procedures and functionalities may be known and practiced in the art. In certain embodiments, measurements may involve proprietary UE signaling facilitating host computer 510′s measurements of throughput, propagation times, latency and the like. The measurements may be implemented in that software 511 and 531 causes messages to be transmitted, in particular empty or ‘dummy’ messages, using OTT connection 550 while it monitors propagation times, errors etc.
In step 610, the host computer provides user data. In substep 611 (which may be optional) of step 610, the host computer provides the user data by executing a host application. In step 620, the host computer initiates a transmission carrying the user data to the UE. In step 630 (which may be optional), the base station transmits to the UE the user data which was carried in the transmission that the host computer initiated, in accordance with the teachings of the embodiments described throughout this disclosure. In step 640 (which may also be optional), the UE executes a client application associated with the host application executed by the host computer.
In step 710 of the method, the host computer provides user data. In an optional substep (not shown) the host computer provides the user data by executing a host application. In step 720, the host computer initiates a transmission carrying the user data to the UE. The transmission may pass via the base station, in accordance with the teachings of the embodiments described throughout this disclosure. In step 730 (which may be optional), the UE receives the user data carried in the transmission.
In step 810 (which may be optional), the UE receives input data provided by the host computer. Additionally, or alternatively, in step 820, the UE provides user data. In substep 821 (which may be optional) of step 820, the UE provides the user data by executing a client application. In substep 811 (which may be optional) of step 810, the UE executes a client application which provides the user data in reaction to the received input data provided by the host computer. In providing the user data, the executed client application may further consider user input received from the user. Regardless of the specific manner in which the user data was provided, the UE initiates, in substep 830 (which may be optional), transmission of the user data to the host computer. In step 840 of the method, the host computer receives the user data transmitted from the UE, in accordance with the teachings of the embodiments described throughout this disclosure.
In step 910 (which may be optional), in accordance with the teachings of the embodiments described throughout this disclosure, the base station receives user data from the UE. In step 920 (which may be optional), the base station initiates transmission of the received user data to the host computer. In step 930 (which may be optional), the host computer receives the user data carried in the transmission initiated by the base station.
The term unit may have conventional meaning in the field of electronics, electrical devices and/or electronic devices and may include, for example, electrical and/or electronic circuitry, devices, modules, processors, memories, logic solid state and/or discrete devices, computer programs or instructions for carrying out respective tasks, procedures, computations, outputs, and/or displaying functions, and so on, as such as those that are described herein.
Modifications, additions, or omissions may be made to the systems and apparatuses disclosed herein without departing from the scope of the invention. The components of the systems and apparatuses may be integrated or separated. Moreover, the operations of the systems and apparatuses may be performed by more, fewer, or other components. Additionally, operations of the systems and apparatuses may be performed using any suitable logic comprising software, hardware, and/or other logic. As used in this document, “each” refers to each member of a set or each member of a subset of a set.
Modifications, additions, or omissions may be made to the methods disclosed herein without departing from the scope of the invention. The methods may include more, fewer, or other steps. Additionally, steps may be performed in any suitable order.
The foregoing description sets forth numerous specific details. It is understood, however, that embodiments may be practiced without these specific details. In other instances, well-known circuits, structures and techniques have not been shown in detail in order not to obscure the understanding of this description. Those of ordinary skill in the art, with the included descriptions, will be able to implement appropriate functionality without undue experimentation.
References in the specification to “one embodiment,” “an embodiment,” “an example embodiment,” etc., indicate that the embodiment described may include a particular feature, structure, or characteristic, but every embodiment may not necessarily include the particular feature, structure, or characteristic. Moreover, such phrases are not necessarily referring to the same embodiment. Further, when a particular feature, structure, or characteristic is described in connection with an embodiment, it is submitted that it is within the knowledge of one skilled in the art to implement such feature, structure, or characteristic in connection with other embodiments, whether or not explicitly described.
Although this disclosure has been described in terms of certain embodiments, alterations and permutations of the embodiments will be apparent to those skilled in the art. Accordingly, the above description of the embodiments does not constrain this disclosure. Other changes, substitutions, and alterations are possible without departing from the scope of this disclosure, as defined by the claims below.
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/IB2020/058528 | 9/14/2020 | WO |
| Number | Date | Country | |
|---|---|---|---|
| 62899246 | Sep 2019 | US |
