Communication method and communication device

Abstract

The embodiment of the invention provides a communication method and a communication device. A first node can acquire AI data of a first area of a second node. The method comprises the steps that a first node sends a first request, the first request is used for requesting to acquire artificial intelligence AI data of a first area, the first area belongs to a cell under a second node, and the AI data of the first area comprises AI data collected by the second node.

Description

Technical Field

[0001] This application relates to the field of communications, and more specifically, to communication methods and communication devices. Background Technology

[0002] Release 17 of the 3rd Generation Partnership Project (3GPP) proposes applying artificial intelligence (AI) to the New Radio (NR) interface to improve network performance and user experience through intelligent data collection and analysis. Currently, source base stations can instruct neighboring base stations to transmit current / predicted AI data at the base station, cell, and beam levels. This AI data includes current radio resource status at the base station / cell / synchronization signal / (physical broadcast channel, PBCH) block (SSB) level, as well as predicted radio resource status at the base station / cell / SSB level.

[0003] However, there is currently no solution for the source base station to acquire AI data for a specific area within the cell of a neighboring base station. Summary of the Invention

[0004] This application provides a communication method and a communication device that enable a first node to acquire AI data of a first region of a second node.

[0005] To achieve the above objectives, this application adopts the following technical solution:

[0006] Firstly, a communication method is provided. This method can be applied to a communication device, such as a first node, or a component of the first node (e.g., a circuit, processor, chip, chip system, or functional module). It can also be implemented by a logic module or software capable of performing all or part of the functions of the first node. Taking the execution of this method by the first node as an example, the method includes: the first node sending a first request to request artificial intelligence (AI) data for a first area, where the first area belongs to a cell under a second node, wherein the AI ​​data for the first area includes AI data collected by the second node.

[0007] The communication method provided in this application embodiment involves a first node sending a first request to a second node to request AI data for a first region. The first region belongs to a cell under the second node; that is, the first node can request AI data for a specific region within a cell under the second node, ensuring that the first node requests AI data for that specific region within the cell under the second node.

[0008] In one possible implementation, the communication method provided in this application further includes: a first node receiving a first report, the first report indicating AI data for a first region. This scheme enables the first node to receive a first report indicating AI data for a first region, so that the first report obtained by the first node is AI data for a specific region in the cell of the requested second node. The first report is more accurate AI data for a specific region, which can avoid the waste of statistical and computational resources caused by the second node sending cell-level AI data of the second node to the first node.

[0009] In one possible implementation, the first request includes at least one of the following: first indication information for indicating a second node; second indication information for indicating the extent of a first region; or, third indication information for indicating the time information of the AI ​​data. This scheme can indicate at least one of the following in the first request: the second node, the extent of the first region, or the time information of the AI ​​data.

[0010] In one possible implementation, the first indication information includes at least one of the following: the identifier of the second node, the identifier of the cell under the second node, or the identifier of the synchronization signal or physical broadcast channel block (SSB) corresponding to the second node. This scheme allows the first node to indicate the second node.

[0011] In one possible implementation, the second indication information includes at least one of the following: indication information indicating the first area, handover parameters related to the first area, path loss parameters related to the first area, indication information of the SSB or cell related to the first area, slice information corresponding to the first area, or parameters of the reported features corresponding to the AI ​​data of the first area. This scheme enables the first node to indicate the range of the first area to the second node.

[0012] In one possible implementation, the handover parameters related to the first area are cell-level handover parameters. This scheme allows the first node to indicate the first area to the second node.

[0013] In one possible implementation, the road loss parameters associated with the first area are the road loss parameters of at least one terminal device within the first area. This scheme can indicate the first area to the second node.

[0014] In one possible implementation, the indication information of the SSB or cell associated with the first area is used to indicate the area range where at least one terminal device near the SSB or cell is located. This scheme allows the first node to indicate the first area to the second node.

[0015] In one possible implementation, the third indication information includes at least one of the following: the AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time. This scheme allows the first node to indicate to the second node at least one of the following: the AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time.

[0016] In one possible implementation, the first request also includes: the reported features corresponding to the AI ​​data of the first region;

[0017] The reported features include at least one of the following: AI data corresponding to each terminal device in at least one terminal device within the first area; AI data representing the average value of AI data from at least one terminal device within the first area; or, cell-level AI data corresponding to the first area. This scheme can indicate the reported features corresponding to the AI ​​data in the first area.

[0018] In one possible implementation, the AI ​​data corresponding to each terminal device in at least one terminal device within the first area includes at least one of the following: the current and / or predicted measurement results of each terminal device, the current and / or predicted movement trajectory of each terminal device, or the current and / or predicted self-organizing network (SON) report of each terminal device. This scheme can instruct a second node to report the current and / or predicted measurement results, the current and / or predicted movement trajectory, or the current and / or predicted SON report of each terminal device.

[0019] In one possible implementation, the average AI data for at least one terminal device in the first area includes at least one of the following: the current and / or predicted average access success rate, the current and / or predicted average access latency, the current and / or predicted average call drop rate, or the current and / or predicted average measurement result. The scheme may instruct a second node to report the current and / or predicted average access success rate, the current and / or predicted average access latency, the current and / or predicted average call drop rate, or the current and / or predicted average measurement result.

[0020] In one possible implementation, the cell-level AI data corresponding to the first area includes at least one of the following: current and / or predicted radio resource configuration information, current and / or predicted number of handover failures, or current and / or predicted mobility failure information. This scheme can instruct the second node to report the current and / or predicted radio resource configuration information, the current and / or predicted number of handover failures, or the current and / or predicted mobility failure information.

[0021] In one possible implementation, the first region is the region where the cell edge of the second node belongs. In this scheme, if the first region is the edge of the cell under the second node, the first node can more accurately predict CCO problems or provide corresponding CCO strategies, enabling the first node to adjust its strategies in advance and improve network performance.

[0022] In one possible implementation, the AI ​​data collected by the second node includes at least one of the following: the current AI data of the second node, the AI ​​data measured by the second node, or the AI ​​data predicted by the second node.

[0023] Secondly, a communication method is provided. This method can be applied to a communication device, such as a first node, or a component of the first node (e.g., a circuit, processor, chip, chip system, or a functional module). It can also be implemented by a logic module or software capable of performing all or part of the functions of the first node. Taking the execution of this method by the first node as an example, the method includes: a second node receiving a first request, the first request being for requesting to obtain artificial intelligence (AI) data of a first area, the first area belonging to a cell under the second node, wherein the AI ​​data of the first area includes AI data collected by the second node; in response to the first request, the second node sending a first report, the first report indicating the AI ​​data of the first area.

[0024] The communication method provided in this application embodiment involves a second node receiving a first request from a first node for obtaining AI data of a first region. Based on this request, the second node sends a first report indicating the AI ​​data of the first region to the first node. The first region refers to a cell under the second node; that is, the second node receiving the request from the first node for AI data of a specific region within a cell under the second node enables the second node to send the requested AI data of that specific region to the first node. The first report provides more precise AI data for that specific region, avoiding the waste of statistical and computational resources caused by the second node sending cell-level AI data under its own jurisdiction to the first node.

[0025] In one possible implementation, the first request includes at least one of the following: first indication information for indicating a second node; second indication information for indicating the extent of a first region; or, third indication information for indicating the time information of the AI ​​data. This scheme enables the second node to determine at least one of the following: the extent of the first region, or the time information of the AI ​​data.

[0026] In one possible implementation, the first indication information includes at least one of the following: the identifier of the second node, the identifier of the cell under the second node, or the identifier of the synchronization signal or physical broadcast channel block (SSB) corresponding to the second node. This scheme can indicate the second node.

[0027] In one possible implementation, the second indication information includes at least one of the following: indication information indicating the first area, handover parameters related to the first area, path loss parameters related to the first area, indication information of the SSB or cell related to the first area, slice information corresponding to the first area, or parameters of the reported features corresponding to the AI ​​data of the first area. In this scheme, the second indication information enables the second node to determine the range of the first area.

[0028] In one possible implementation, the handover parameters related to the first area are cell-level handover parameters. This scheme allows the second node to determine the range of the first area.

[0029] In one possible implementation, the road loss parameters associated with the first region are the road loss parameters of at least one terminal device within the first region. This scheme allows the second node to determine the extent of the first region.

[0030] In one possible implementation, the indication information of the SSB or cell associated with the first area is used to indicate the area range where at least one terminal device near the SSB or cell is located. This scheme enables the second node to determine the range of the first area.

[0031] In one possible implementation, the third indication information includes at least one of the following: the AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time. This scheme enables the second node to determine at least one of the AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time.

[0032] In one possible implementation, the first request further includes: a reporting feature corresponding to the AI ​​data in the first area; the reporting feature includes at least one of the following: AI data corresponding to each terminal device in at least one terminal device in the first area, AI data representing the average value of the AI ​​data of at least one terminal device in the first area, or cell-level AI data corresponding to the first area. This scheme can indicate the reporting feature corresponding to the AI ​​data in the first area.

[0033] In one possible implementation, the AI ​​data corresponding to each terminal device in at least one terminal device within the first area includes at least one of the following: the current and / or predicted measurement results of each terminal device, the current and / or predicted movement trajectory of each terminal device, or the current and / or predicted self-organizing network (SON) report of each terminal device. This scheme allows a second node to report the current and / or predicted measurement results, the current and / or predicted movement trajectory, or the current and / or predicted SON report of each terminal device.

[0034] In one possible implementation, the average AI data for at least one terminal device in the first area includes at least one of the following: the current and / or predicted average access success rate, the current and / or predicted average access latency, the current and / or predicted average call drop rate, or the current and / or predicted average measurement result. This scheme allows a second node to report the current and / or predicted average access success rate, the current and / or predicted average access latency, the current and / or predicted average call drop rate, or the current and / or predicted average measurement result.

[0035] In one possible implementation, the cell-level AI data corresponding to the first area includes at least one of the following: current and / or predicted radio resource configuration information, current and / or predicted number of handover failures, or current and / or predicted mobility failure information. This scheme enables the second node to report current and / or predicted radio resource configuration information, current and / or predicted number of handover failures, or current and / or predicted mobility failure information.

[0036] In one possible implementation, the first region is the region to which the cell edge of the second node belongs. This scheme allows the second node to determine that the first region is the region to which the cell edge of the second node belongs.

[0037] In one possible implementation, the AI ​​data collected by the second node includes at least one of the following: the current AI data of the second node, the AI ​​data measured by the second node, or the AI ​​data predicted by the second node.

[0038] Thirdly, a communication method is provided. This method can be applied to a communication device, such as a first CU, or a component of the first CU (e.g., a circuit, processor, chip, chip system, or functional module). It can also be implemented by a logic module or software capable of performing all or part of the functions of the first CU. Taking the method being executed by the first CU as an example, the method includes: the first CU sending a first request to a second CU, the first request being for requesting to obtain AI data of a first area, the first area belonging to a cell under a second node, the second CU belonging to a CU of the second node, and the first CU belonging to the first node; wherein the AI ​​data of the first area includes AI data collected by the second CU.

[0039] The communication method provided in this application embodiment involves a first CU sending a first request to a second CU to request AI data of a first region. The first region belongs to a cell under the second CU, meaning the first CU can request AI data of a specific region within a cell under the second CU, thus the first CU is requesting AI data of a specific region within a cell under the second CU.

[0040] In one possible implementation, the communication method provided in this application embodiment further includes: a first CU receiving a second request from a first DU, the second request being used to request the first CU to determine a first region; the first CU determining the first region according to the second request. In this scheme, when the AI ​​module is deployed on the DU, the first CU can determine the first region.

[0041] In one possible implementation, the communication method provided in this application further includes: a first CU receiving a first report, the first report indicating AI data for a first region. This scheme enables the first CU to receive the first report indicating AI data for the first region, so that the first report obtained by the first CU is AI data for a specific region in the cell under the requested second CU. The first report is more accurate AI data for a specific region, which can avoid the waste of statistical and computing resources caused by the second CU sending cell-level AI data under the second node to the first CU.

[0042] In one possible implementation, the first request includes at least one of the following: first indication information, used to indicate a second node; second indication information, used to indicate the extent of a first region; or, third indication information, used to indicate the time information of the AI ​​data. This scheme can indicate at least one of the following in the first request: the second node, the extent of the first region, or the time information of the AI ​​data.

[0043] In one possible implementation, the first indication information includes at least one of the following: the identifier of the second node, the identifier of the cell under the second node, or the identifier of the synchronization signal or physical broadcast channel block (SSB) corresponding to the second node. This scheme enables the second CU to determine itself as the requested node.

[0044] In one possible implementation, the second indication information includes at least one of the following: indication information indicating the first area, handover parameters related to the first area, path loss parameters related to the first area, indication information of the SSB or cell related to the first area, slice information corresponding to the first area, or parameters of the reported features corresponding to the AI ​​data of the first area. This scheme enables the first CU to indicate the range of the first area to the second CU.

[0045] In one possible implementation, the handover parameters related to the first area are cell-level handover parameters. This scheme can indicate the range of the first area.

[0046] In one possible implementation, the road loss parameter associated with the first area is the road loss parameter of at least one terminal device within the first area. This scheme can indicate the extent of the first area.

[0047] In one possible implementation, the indication information of the SSB or cell associated with the first area is used to indicate the area range where at least one terminal device near the SSB or cell is located. This scheme allows the first CU to indicate the range of the first area to the second CU.

[0048] In one possible implementation, the third indication information includes at least one of the following: the AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time. This scheme allows the first CU to indicate to the second CU at least one of the following: the AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time.

[0049] In one possible implementation, the first request further includes: a reporting feature corresponding to the AI ​​data in the first area; the reporting feature includes at least one of the following: AI data corresponding to each terminal device in at least one terminal device in the first area, AI data representing the average value of the AI ​​data of at least one terminal device in the first area, or cell-level AI data corresponding to the first area. This scheme can indicate the reporting feature corresponding to the AI ​​data in the first area.

[0050] In one possible implementation, the AI ​​data corresponding to each terminal device in at least one terminal device within the first area includes at least one of the following: the current and / or predicted measurement results of each terminal device, the current and / or predicted movement trajectory of each terminal device, or the current and / or predicted self-organizing network (SON) report of each terminal device. This scheme allows the first CU to instruct the second CU to report the current and / or predicted measurement results, the current and / or predicted movement trajectory, or the current and / or predicted SON report of each terminal device.

[0051] In one possible implementation, the average AI data for at least one terminal device in the first area includes at least one of the following: the current and / or predicted average access success rate, the current and / or predicted average access latency, the current and / or predicted average call drop rate, or the current and / or predicted average measurement result. This scheme allows the first CU to instruct the second CU to report the current and / or predicted average access success rate, the current and / or predicted average access latency, the current and / or predicted average call drop rate, or the current and / or predicted average measurement result.

[0052] In one possible implementation, the cell-level AI data corresponding to the first area includes at least one of the following: current and / or predicted radio resource configuration information, current and / or predicted number of handover failures, or current and / or predicted mobility failure information. This scheme allows the first CU to instruct the second CU to report the current and / or predicted radio resource configuration information, the current and / or predicted number of handover failures, or the current and / or predicted mobility failure information.

[0053] In one possible implementation, the first region is the region where the cell edge of the second node belongs. In this scheme, if the first region is the edge of the cell under the second node, the first CU can more accurately predict CCO problems or provide corresponding CCO strategies, enabling the first CU to adjust strategies in advance and improve network performance.

[0054] In one possible implementation, the AI ​​data collected by the second node includes at least one of the following: the current AI data of the second node, the AI ​​data measured by the second node, or the AI ​​data predicted by the second node.

[0055] Fourthly, a communication method is provided. This method can be applied to a communication device, such as a second CU, or a component of the second CU (e.g., a circuit, processor, chip, chip system, or a functional module). It can also be implemented by a logic module or software capable of performing all or part of the functions of the second CU. Taking the method being executed by the second CU as an example, the method includes: the second CU receiving a first request from a first CU, the first request requesting the acquisition of artificial intelligence (AI) data for a first region, the first region belonging to a cell under a second node, and the second CU belonging to the second node; in response to the first request, the second CU sending a first report to the first CU, the first report indicating the AI ​​data for the first region; wherein the AI ​​data for the first region includes AI data collected by the second CU.

[0056] The communication method provided in this application embodiment involves a second CU receiving a first request from a first CU to obtain AI data for a first region. Based on this request, the second CU sends a first report indicating the AI ​​data for the first region to the first CU. The first region refers to a cell under the second CU; that is, the second CU receiving the request from the first CU for AI data of a specific region within a cell under the second CU enables the second CU to send the requested AI data of that specific region within the cell under the second CU to the first CU. The first report provides more precise AI data for that specific region, thus avoiding the waste of statistical and computational resources caused by the second CU sending cell-level AI data under the second CU to the first CU.

[0057] In one possible implementation, the communication method provided in this application embodiment further includes: a second CU determining a first list of at least one terminal device in a first area; the second CU sending at least one of the following to a second distributed unit DU: the first list, a first request, or a reporting feature corresponding to the AI ​​data of the first area; wherein the second DU belongs to a second node, the first request includes a reporting feature, the reporting feature includes AI data of each terminal device in the at least one terminal device in the first area, AI data of the average value of at least one terminal device in the first area, and cell-level AI data corresponding to the first area.

[0058] In one possible implementation, the first request includes at least one of the following: first indication information for indicating a second node; second indication information for indicating the extent of a first region; or, third indication information for indicating the time information of the AI ​​data. This scheme enables the second CU to determine at least one of the following: the extent of the first region, or the time information of the AI ​​data.

[0059] In one possible implementation, the first indication information includes at least one of the following: the identifier of the second node, the identifier of the cell under the second node, or the identifier of the synchronization signal or physical broadcast channel block (SSB) corresponding to the second node. This scheme enables the second CU to determine itself as the requested CU.

[0060] In one possible implementation, the second indication information includes at least one of the following: indication information indicating the first area, handover parameters related to the first area, path loss parameters related to the first area, indication information of the SSB or cell related to the first area, slice information corresponding to the first area, or parameters of the reported features corresponding to the AI ​​data of the first area. This scheme enables the second CU to determine the range of the first area based on the second indication information.

[0061] In one possible implementation, the handover parameters related to the first area are cell-level handover parameters. This scheme allows the second CU to determine the range of the first area.

[0062] In one possible implementation, the road loss parameters related to the first area are the road loss parameters of at least one terminal device within the first area. This scheme allows the second CU to determine the extent of the first area.

[0063] In one possible implementation, the indication information of the SSB or cell associated with the first area is used to indicate the area range where at least one terminal device near the SSB or cell is located. This scheme allows the second CU to determine the range of the first area.

[0064] In one possible implementation, the third instruction information includes at least one of the following: the AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time. In this scheme, the third instruction information enables the second CU to determine at least one of the following: the AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time.

[0065] In one possible implementation, the first request further includes: reporting features corresponding to the AI ​​data in the first region; the reporting features include at least one of the following: AI data corresponding to each terminal device in at least one terminal device in the first region, AI data of the average value of at least one terminal device in the first region, or cell-level AI data corresponding to the first region. This scheme enables the second CU to report the reporting features corresponding to the AI ​​data in the first region to the first CU.

[0066] In one possible implementation, the AI ​​data corresponding to each terminal device in at least one terminal device within the first area includes at least one of the following: the current and / or predicted measurement results of each terminal device, the current and / or predicted movement trajectory of each terminal device, or the current and / or predicted self-organizing network (SON) report of each terminal device. This scheme allows the second CU to report the current and / or predicted measurement results, the current and / or predicted movement trajectory, or the current and / or predicted SON report of each terminal device to the first CU.

[0067] In one possible implementation, the average AI data for at least one terminal device in the first area includes at least one of the following: the current and / or predicted average access success rate, the current and / or predicted average access latency, the current and / or predicted average call drop rate, or the current and / or predicted average measurement result. This scheme allows the second CU to report the current and / or predicted average access success rate, the current and / or predicted average access latency, the current and / or predicted average call drop rate, or the current and / or predicted average measurement result to the first CU.

[0068] In one possible implementation, the cell-level AI data corresponding to the first area includes at least one of the following: current and / or predicted radio resource configuration information, current and / or predicted number of handover failures, or current and / or predicted mobility failure information. This scheme allows the second CU to report current and / or predicted radio resource configuration information, current and / or predicted number of handover failures, or current and / or predicted mobility failure information to the first CU.

[0069] In one possible implementation, the first region is the region to which the cell edge of the second node belongs. This scheme allows the second CU point to determine that the first region is the region to which the cell edge of the second CU belongs.

[0070] In one possible implementation, the AI ​​data collected by the second node includes at least one of the following: the current AI data of the second node, the AI ​​data measured by the second node, or the AI ​​data predicted by the second node.

[0071] Fifthly, a communication method is provided. This method can be applied to a communication device, for example, the communication device can be a first CU, or a component of the first CU (e.g., a circuit, processor, chip, chip system, or a functional module, etc.), or can be implemented by a logic module or software capable of implementing all or part of the functions of the first CU. Taking the method being executed by the first CU as an example, the method includes: the first CU receiving a third request from the RIC, the third request being used to request the first CU to determine a first area; the first CU determining the first area according to the third request; the first CU sending a first request to a second CU, the first request being used to request the acquisition of AI data of the first area, the first area belonging to a cell under a second node, the second CU belonging to a CU of the second node, and the first CU belonging to the first node; wherein, the AI ​​data of the first area includes AI data collected by the second CU; and the first CU sending a first report to the RIC.

[0072] The communication method provided in this application embodiment involves a first CU determining a first region based on a third request from the RIC. Further, the first CU sends a first request to a second CU to request AI data for the first region. The first region belongs to a cell under the second CU, meaning the first CU can request AI data for a specific region within a cell under the second CU, ensuring that the first CU requests AI data for a specific region within a cell under the second CU. Further, the first CU sends a first report to the RIC.

[0073] In one possible implementation, the communication method provided in this application embodiment further includes: a first CU receiving a first report, the first report indicating AI data in a first region.

[0074] In one possible implementation, the communication method provided in this application embodiment further includes: a first CU receiving a second request from a first DU, the second request being used to request the first CU to determine a first region; the first CU determining the first region according to the second request. In this scheme, when the AI ​​module is deployed on the DU, the first CU can determine the first region.

[0075] In one possible implementation, the communication method provided in this application further includes: a first CU receiving a first report, the first report indicating AI data for a first region. This scheme enables the first CU to receive the first report indicating AI data for the first region, so that the first report obtained by the first CU is AI data for a specific region in the cell under the requesting second CU. The first report is more accurate AI data for a specific region, which can avoid the waste of statistical and computing resources caused by the second CU sending cell-level AI data under the second node to the first CU.

[0076] In one possible implementation, the first request includes at least one of the following: first indication information for indicating a second node; second indication information for indicating the range of a first region; or, third indication information for indicating the timing information of the AI ​​data. This scheme can indicate at least one of the following in the first request: the second node, the range of the first region, or the requested prediction time of the AI ​​data.

[0077] In one possible implementation, the first indication information includes at least one of the following: the identifier of the second node, the identifier of the cell under the second node, or the identifier of the synchronization signal or physical broadcast channel block (SSB) corresponding to the second node. This scheme can indicate the second node.

[0078] In one possible implementation, the second indication information includes at least one of the following: indication information indicating a first area, handover parameters related to the first area, path loss parameters related to the first area, indication information of an SSB or cell related to the first area, slice information corresponding to the first area, or parameters of the reported features corresponding to the AI ​​data of the first area. This scheme can indicate the range of the first area.

[0079] In one possible implementation, the handover parameters related to the first area are cell-level handover parameters. This scheme can indicate the range of the first area.

[0080] In one possible implementation, the road loss parameter associated with the first area is the road loss parameter of at least one terminal device within the first area. This scheme can indicate the extent of the first area.

[0081] In one possible implementation, the indication information of the SSB or cell associated with the first area is used to indicate the area range where at least one terminal device near the SSB or cell is located. This scheme can indicate the range of the first area.

[0082] In one possible implementation, the third instruction information includes at least one of the following: the AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time.

[0083] In one possible implementation, the first request further includes: a reporting feature corresponding to the AI ​​data in the first area; the reporting feature includes at least one of the following: AI data corresponding to each terminal device in at least one terminal device in the first area, AI data representing the average value of the AI ​​data of at least one terminal device in the first area, or cell-level AI data corresponding to the first area. This scheme can indicate the reporting feature corresponding to the AI ​​data in the first area.

[0084] In one possible implementation, the AI ​​data corresponding to each terminal device in at least one terminal device within the first area includes at least one of the following: the current and / or predicted measurement results of each terminal device, the current and / or predicted movement trajectory of each terminal device, or the current and / or predicted self-organizing network (SON) report of each terminal device. This scheme allows the first CU to instruct the second CU to report the current and / or predicted measurement results, the current and / or predicted movement trajectory, or the current and / or predicted SON report of each terminal device.

[0085] In one possible implementation, the average AI data for at least one terminal device in the first area includes at least one of the following: the current and / or predicted average access success rate, the current and / or predicted average access latency, the current and / or predicted average call drop rate, or the current and / or predicted average measurement result. This scheme allows the first CU to instruct the second CU to report the current and / or predicted average access success rate, the current and / or predicted average access latency, the current and / or predicted average call drop rate, or the current and / or predicted average measurement result.

[0086] In one possible implementation, the cell-level AI data corresponding to the first area includes at least one of the following: current and / or predicted radio resource configuration information, current and / or predicted number of handover failures, or current and / or predicted mobility failure information. This scheme allows the first CU to instruct the second CU to report the current and / or predicted radio resource configuration information, the current and / or predicted number of handover failures, or the current and / or predicted mobility failure information.

[0087] In one possible implementation, the first region is the region where the cell edge of the second node belongs. In this scheme, if the first region is the edge of the cell under the second node, the first CU can more accurately predict CCO problems or provide corresponding CCO strategies, enabling the first CU to adjust strategies in advance and improve network performance.

[0088] In one possible implementation, the AI ​​data collected by the second node includes at least one of the following: the current AI data of the second node, the AI ​​data measured by the second node, or the AI ​​data predicted by the second node.

[0089] Sixthly, a communication method is provided. This method can be applied to a communication device, for example, the communication device can be a second CU, or a component of the second CU (e.g., a circuit, processor, chip, chip system, or a functional module, etc.), and can also be implemented by a logic module or software capable of implementing all or part of the functions of the second CU. Taking the method being executed by the second CU as an example, the method includes: the second CU receiving a first request from a first CU, the first request being for requesting to obtain artificial intelligence (AI) data of a first area, the first area belonging to a cell under a second node, and the second CU belonging to the second node; in response to the first request, the second CU sending a first report to the first CU, the first report indicating the AI ​​data of the first area; wherein, the AI ​​data of the first area includes AI data collected by the second CU.

[0090] The communication method provided in this application embodiment involves a second CU receiving a first request from a first CU to obtain AI data for a first region. Based on this request, the second CU sends a first report indicating the AI ​​data for the first region to the first CU. The first region refers to a cell under the second CU; that is, the second CU receiving the request from the first CU for AI data of a specific region within a cell under the second CU enables the second CU to send the requested AI data of that specific region within the cell under the second CU to the first CU. The first report provides more precise AI data for that specific region, thus avoiding the waste of statistical and computational resources caused by the second CU sending cell-level AI data under the second CU to the first CU.

[0091] In one possible implementation, the communication method provided in this application embodiment further includes: a second CU determining a first list of at least one terminal device in a first area; the second CU sending at least one of the following to a second distributed unit DU: the first list, a first request, or a reporting feature corresponding to the AI ​​data of the first area; wherein the second DU belongs to a second node, the first request includes a reporting feature, the reporting feature includes AI data of each terminal device in the at least one terminal device in the first area, AI data of the average value of at least one terminal device in the first area, and cell-level AI data corresponding to the first area.

[0092] In one possible implementation, the first request includes at least one of the following: first indication information for indicating a second node; second indication information for indicating the extent of a first region; or, third indication information for indicating the timing information of the AI ​​data. This scheme allows the second CU to determine the extent of the first region, or, at least one of the following, the timing of the AI ​​data request prediction.

[0093] In one possible implementation, the first indication information includes at least one of the following: the identifier of the second node, the identifier of the cell under the second node, or the identifier of the synchronization signal or physical broadcast channel block (SSB) corresponding to the second node. This scheme can indicate the second CU.

[0094] In one possible implementation, the second indication information includes at least one of the following: indication information indicating the first area, handover parameters related to the first area, path loss parameters related to the first area, indication information of the SSB or cell related to the first area, slice information corresponding to the first area, or parameters of the reported features corresponding to the AI ​​data of the first area. This scheme enables the second CU to determine the range of the first area.

[0095] In one possible implementation, the handover parameters related to the first area are cell-level handover parameters. This scheme allows the second CU to determine the range of the first area.

[0096] In one possible implementation, the road loss parameters related to the first area are the road loss parameters of at least one terminal device within the first area. This scheme allows the second CU to determine the extent of the first area.

[0097] In one possible implementation, the indication information of the SSB or cell associated with the first area is used to indicate the area range where at least one terminal device near the SSB or cell is located. This scheme allows the second CU to determine the range of the first area.

[0098] In one possible implementation, the third instruction information includes at least one of the following: the AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time.

[0099] In one possible implementation, the first request further includes: reporting features corresponding to the AI ​​data in the first region; the reporting features include at least one of the following: AI data corresponding to each terminal device in at least one terminal device in the first region, AI data of the average value of at least one terminal device in the first region, or cell-level AI data corresponding to the first region. This scheme enables the second CU to report the reporting features corresponding to the AI ​​data in the first region to the first CU.

[0100] In one possible implementation, the AI ​​data corresponding to each terminal device in at least one terminal device within the first area includes at least one of the following: the current and / or predicted measurement results of each terminal device, the current and / or predicted movement trajectory of each terminal device, or the current and / or predicted self-organizing network (SON) report of each terminal device. This scheme allows the second CU to report the current and / or predicted measurement results, the current and / or predicted movement trajectory, or the current and / or predicted SON report of each terminal device to the first CU.

[0101] In one possible implementation, the average AI data for at least one terminal device in the first area includes at least one of the following: the current and / or predicted average access success rate, the current and / or predicted average access latency, the current and / or predicted average call drop rate, or the current and / or predicted average measurement result. This scheme allows the second CU to report the current and / or predicted average access success rate, the current and / or predicted average access latency, the current and / or predicted average call drop rate, or the current and / or predicted average measurement result to the first CU.

[0102] In one possible implementation, the cell-level AI data corresponding to the first area includes at least one of the following: current and / or predicted radio resource configuration information, current and / or predicted number of handover failures, or current and / or predicted mobility failure information. This scheme allows the second CU to report current and / or predicted radio resource configuration information, current and / or predicted number of handover failures, or current and / or predicted mobility failure information to the first CU.

[0103] In one possible implementation, the first region is the region to which the cell edge of the second node belongs. This scheme allows the second CU point to determine that the first region is the region to which the cell edge of the second CU belongs.

[0104] In one possible implementation, the AI ​​data collected by the second node includes at least one of the following: the current AI data of the second node, the AI ​​data measured by the second node, or the AI ​​data predicted by the second node.

[0105] In a seventh aspect, a communication device is provided for implementing the various methods described above. The communication device may be a first node in the first aspect, or a device included in the first node, such as a chip; or, the communication device may be a second node in the second aspect, or a device included in the second node, such as a chip; or, the communication device may be a first CU in the third aspect, or a device included in the first CU, such as a chip; or, the communication device may be a second CU in the fourth aspect, or a device included in the second CU, such as a chip; or, the communication device may be a first CU in the fifth aspect, or a device included in the first CU, such as a chip; or, the communication device may be a second CU in the sixth aspect, or a device included in the second CU, such as a chip.

[0106] The communication device includes modules, units, or means that implement the methods described above. These modules, units, or means can be implemented in hardware, software, or by hardware executing corresponding software. The hardware or software includes one or more modules or units corresponding to the functions described above.

[0107] In some possible designs, the communication device may include a processing module and a communication module. The communication module may include an output module (or transmitting module) and an input module (or receiving module), respectively used to implement the output (or transmitting) and input (or receiving) functions in any of the above aspects and any possible designs. The processing module can be used to implement the processing functions in any of the above aspects and any possible designs.

[0108] Optionally, the communication device also includes a storage module for storing program instructions and data.

[0109] Eighthly, a communication device is provided, comprising: at least one processor configured to execute computer programs or instructions, or to cause the communication device to perform the methods of any of the preceding aspects via logic circuitry. The communication device may be a first node in the first aspect, or a device included in the first node, such as a chip; or, the communication device may be a second node in the second aspect, or a device included in the second node, such as a chip; or, the communication device may be a first CU in the third aspect, or a device included in the first CU, such as a chip; or, the communication device may be a second CU in the fourth aspect, or a device included in the second CU, such as a chip; or, the communication device may be a first CU in the fifth aspect, or a device included in the first CU, such as a chip; or, the communication device may be a second CU in the sixth aspect, or a device included in the second CU, such as a chip.

[0110] In some possible designs, the communication device also includes a memory for storing configuration files of computer instructions and / or logic circuits. Optionally, the memory is integrated with the processor, or the memory is independent of the processor.

[0111] In one possible design, the communication device also includes a communication interface for inputting and / or outputting signals.

[0112] In some possible designs, the communication interface is an interface circuit used to read and write computer instructions. For example, the interface circuit is used to receive computer execution instructions (which are stored in memory and may be read directly from memory or may be transmitted through other devices) and transmit them to the processor.

[0113] In some possible designs, this communication interface is used to communicate with modules outside the communication device.

[0114] In some possible designs, the communication device can be a chip system. When the communication device is a chip system, the chip system may include chips, or it may contain chips and other discrete components.

[0115] A ninth aspect provides a communication device, comprising: a logic circuit and an interface circuit; the interface circuit being used for inputting information and / or outputting information; the logic circuit being used to perform the method of any of the preceding aspects, processing the input information and / or generating output information. The communication device may be a first node in the first aspect, or a device included in the first node, such as a chip; or, the communication device may be a second node in the second aspect, or a device included in the second node, such as a chip; or, the communication device may be a first CU in the third aspect, or a device included in the first CU, such as a chip; or, the communication device may be a second CU in the fourth aspect, or a device included in the second CU, such as a chip; or, the communication device may be a first CU in the fifth aspect, or a device included in the first CU, such as a chip; or, the communication device may be a second CU in the sixth aspect, or a device included in the second CU, such as a chip.

[0116] It is understood that when the communication device provided by any of the third to fifth aspects is a chip, the aforementioned sending action / function can be understood as output information, and the aforementioned receiving action / function can be understood as input information.

[0117] In a tenth aspect, a computer-readable storage medium is provided that stores a computer program or instructions that, when executed by a processor, cause the methods of any of the above aspects to be performed.

[0118] In an eleventh aspect, a computer program product is provided that, when executed by a processor, causes the method of any of the preceding aspects to be performed.

[0119] In a twelfth aspect, a communication device is provided, comprising modules, units, or means for performing the methods of the first, second, third, fourth, fifth, or sixth aspects described above, wherein the modules, units, or means may be implemented in software, in hardware, or in a combination of software and hardware.

[0120] In a thirteenth aspect, a communication system is provided, comprising a first node as described in the first aspect and a second node as described in the second aspect. The first node and the second node can be implemented as a communication device provided in any of the seventh to ninth aspects; or, the communication system comprises a first CU as described in the fifth aspect and a second CU as described in the sixth aspect. The first CU and the second CU can be implemented as a communication device provided in any of the seventh to ninth aspects.

[0121] The technical effects of any of the design methods in aspects seven through thirteen can be found in the technical effects of different design methods in aspects one, two, three, four, five, or six above, and will not be repeated here. Attached Figure Description

[0122] Figure 1 This is a framework diagram of AI applications in NR;

[0123] Figure 2 This is a diagram illustrating a successful data collection process;

[0124] Figure 3 This is a diagram illustrating a failed data collection process;

[0125] Figure 4 This is a diagram illustrating the application scenarios of AI in determining CCO-related applications;

[0126] Figure 5 This is a schematic diagram of the communication system provided in an embodiment of this application;

[0127] Figure 6 This is a schematic diagram of the structure of the communication device 600 provided in the embodiments of this application;

[0128] Figure 7 This is a schematic diagram of the CU-DU separation architecture provided in the embodiments of this application;

[0129] Figure 8 This is a schematic diagram of a communication system under the ORAN architecture provided in an embodiment of this application;

[0130] Figure 9 This is a schematic diagram illustrating an example of the communication method provided in an embodiment of this application;

[0131] Figure 10 This is a schematic diagram of another example of the communication method provided in the embodiments of this application;

[0132] Figure 11 This is a schematic diagram of yet another example of the communication method provided in the embodiments of this application;

[0133] Figure 12 This is a schematic diagram of the communication device provided in the embodiments of this application. Detailed Implementation

[0134] In the description of this application, unless otherwise stated, " / " indicates that the objects before and after are in an "or" relationship. For example, A / B can mean A or B. "And / or" in this application is merely a description of the relationship between the related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. A and B can be singular or plural.

[0135] In the description of this application, unless otherwise stated, "multiple" means two or more. "At least one of the following or similar expressions" refers to any combination of these items, including any combination of single or multiple items. For example, at least one of a, b and / or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0136] Furthermore, to facilitate a clear description of the technical solutions in the embodiments of this application, the terms "first" and "second" are used in the embodiments of this application to distinguish identical or similar items with substantially the same function and effect. Those skilled in the art will understand that the terms "first" and "second" do not limit the quantity or execution order, and the terms "first" and "second" are not necessarily different.

[0137] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a specific manner to facilitate understanding.

[0138] It is understood that the term "embodiment" used throughout the specification means that a specific feature, structure, or characteristic related to an embodiment is included in at least one embodiment of this application. Therefore, various embodiments throughout the specification do not necessarily refer to the same embodiment. Furthermore, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. It is understood that in the various embodiments of this application, the sequence number of each process does not imply the order of execution; the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0139] It is understood that in this application, "...when" and "if" both refer to the corresponding processing that will be carried out under certain objective circumstances, and are not limited to a specific time, nor do they require a judgment action to be performed during implementation, nor do they imply any other limitations.

[0140] It is understood that some optional features in the embodiments of this application can be implemented independently in certain scenarios without relying on other features, such as the current solution on which they are based, to solve the corresponding technical problems and achieve the corresponding effects. Alternatively, they can be combined with other features as needed in certain scenarios. Correspondingly, the apparatus given in the embodiments of this application can also implement these features or functions, which will not be elaborated here.

[0141] In this application, unless otherwise specified, the same or similar parts between the various embodiments can be referred to each other. In the various embodiments of this application, unless otherwise specified or there is a logical conflict, the terminology and / or descriptions between different embodiments are consistent and can be mutually referenced. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships. The following descriptions of the embodiments of this application do not constitute a limitation on the scope of protection of this application.

[0142] To facilitate the reader's understanding, the relevant technologies of the embodiments of this application are described below:

[0143] I. Application of AI in NR.

[0144] Figure 1 This is a framework diagram for AI applications in NR. For example... Figure 1As shown, the data collection entity stores data inputs from access network devices, terminal devices, or other management entities, serving as a database for AI model training and data analysis inference. The model training entity analyzes the training data provided by the data collection entity to produce the optimal AI model. The model inference entity uses the AI ​​model, based on the data provided by the data collection entity, to make reasonable AI-based predictions about network operation or guide the network to make policy adjustments. These policy adjustments are planned uniformly by the actor entity and sent to multiple network entities for execution. Simultaneously, the network's performance after applying the relevant policies is again input into the database for storage.

[0145] II. AI-based application scenarios.

[0146] AI-based applications include energy saving, load balancing, and mobility optimization, which will be introduced below.

[0147] Energy-saving scenarios:

[0148] Access network equipment collects load, energy consumption, and energy efficiency information from itself and neighboring access network equipment, as well as mobile path information and measurement results from terminal equipment, to predict its own load trends. Combined with cell usage and key performance indicators (KPIs), it takes timely and appropriate energy-saving measures without affecting network coverage or user access. The simplest energy-saving strategy includes directly deactivating the cell. Other strategies include carrier shutdown, channel shutdown, time slot shutdown, and reduced transmit power. More complex strategies involve combining these measures.

[0149] Load balancing scenarios:

[0150] Access network devices collect load, energy consumption, and energy efficiency information from themselves and neighboring access network devices, as well as mobile path information and measurement results from terminal devices, to predict the trend of their own load. Combined with cell usage and KPI requirements, they can rationally select some terminal devices to switch to neighboring access network devices, or to switch some terminal devices from neighboring access network devices to the access network device itself. This ensures that the load levels among access network devices in the entire network are similar, reducing the situation where some access network devices are overloaded and affect normal services while other access network devices are idle.

[0151] Mobility optimization scenarios:

[0152] Access network equipment collects historical mobility path information from terminal devices and combines it with measurement information from the terminal devices to predict their future mobility paths. Based on the predicted mobility paths, it determines in advance whether the terminal device needs to hand over, and sends handover configurations and notifies the target cell to prepare access resources in advance, reducing latency during the handover process and lowering the probability of handover or access failures.

[0153] III. Data Collection Process.

[0154] The data collection process is a process independent of use cases and data types, and is not related to end devices. Specifically, it is independent of use cases because the AI ​​or machine learning (ML) data transmitted by the data collection process can be used for all AI use cases, such as load balancing, mobility optimization, and energy saving. It is also independent of data types because the AI ​​or ML data transmitted by the data collection process can include input data, output data, and feedback data from AI models, such as prediction and measurement information. While not associated with a specific end device, the data collection process can still be used to transmit data specific to that end device, such as performance feedback information for each end device.

[0155] The data collection process can report data in two ways: one-time reports and periodic reports. The data collection process also supports partial reporting, meaning that if the requested access network device can provide only some of the requested items, the data collection process will not fail by default.

[0156] Figure 2 This is a diagram illustrating a successful data collection process. For example... Figure 2 As shown, the process includes the following steps:

[0157] S210, the first access network device sends a data collection request to the second access network device. Correspondingly, the second access network device receives the data collection request from the first access network device.

[0158] The first access network device initiates a data collection process by sending a data collection request to the second access network device, thereby starting or stopping the reporting of AI / ML related information.

[0159] S220, the second access network device sends a data collection response to the first access network device. Correspondingly, the first access network device receives the data collection response from the second access network device.

[0160] S230, the second access network device sends a data collection update message to the first access network device. Correspondingly, the first access network device receives the data collection update message from the second access network device.

[0161] Figure 3 This is a diagram illustrating a failure in the data collection process. For example... Figure 3 As shown, the process includes the following steps:

[0162] S310, the first access network device sends a data collection request to the second access network device. Correspondingly, the second access network device receives the data collection request from the first access network device.

[0163] S320, the second access network device sends a data collection failure message to the first access network device. Correspondingly, the first access network device receives the data collection failure message from the second access network device.

[0164] IV. Coverage and capacity optimization (CCO).

[0165] CCO (Cell Coverage Control) is used to detect, resolve, or mitigate cell coverage or cell edge interference issues. Current coverage configurations are typically provided to access network devices as a list by operations, administration, and maintenance (OAM) equipment. Each configuration set usually includes coverage-related parameter settings and the specific adjustment range for each parameter. Access network devices can autonomously adjust and switch within the allowed range of the coverage configuration. When changes are made, access network devices can use configuration update messages to notify their neighboring access network devices of the coverage modification list, which includes the global cell identifier, cell coverage registration, cell deployment status indication, cell handover message, SSB coverage modification list (SSB index, SSB coverage status), and coverage modification reason indication.

[0166] CCO problems include the following two types:

[0167] Coverage issues focus on scenarios where the coverage of the reference signal is suboptimal, exposing terminal devices to faults or performance degradation (e.g., discovering coverage gaps or encountering uplink or downlink differences).

[0168] Capacity issues. If the capacity within a cell or beam is saturated, more terminal devices will malfunction or experience poor performance. One potential cause of capacity issues is poor wireless conditions affecting a large number of serving terminal devices. For example, cell-edge interference, where a large number of terminal devices are located at the cell edge, causing high interference to other terminal devices and consuming significant resources. This will ultimately reduce the cell / beam capacity. Therefore, if the network can identify such terminal devices at the cell / beam edge, the network can decide to switch them to a more suitable cell.

[0169] Based on the above introduction of related technologies, for example, in application scenarios where AI is used to determine CCO-related aspects, such as... Figure 4 As shown, in one possible scenario, the serving access network device of cell 3 needs to obtain the cell edge information corresponding to cell 2 to optimize CCO (e.g., predict and resolve cell edge interference problems in advance). However, currently, only requests at the level of access network device / cell / synchronization signal or physical broadcast channel block (SSB) from the serving access network device of cell 3 to the serving access network device of cell 2 are supported; requests at the level of context information of terminal devices that have switched from cell 2 to cell 3 from the serving access network device of cell 3 to the serving access network device of cell 2 are supported; the service access network device of cell 2 sends trajectory prediction information of terminal devices that are about to switch to cell 3 to the service access network device of cell 3; and the service access network device of cell 2 obtains performance feedback and trajectory feedback information of terminal devices that have switched from cell 2 to cell 3. Based on this, this application proposes a communication method to solve this problem. A detailed description follows.

[0170] Figure 5 This is a schematic diagram of the communication system provided in an embodiment of this application. For example... Figure 5 As shown, the communication system includes a first node and a second node.

[0171] In this embodiment of the application, the first node is used to send a first request; the second node is used to receive the first request and send a first report to the first node in response to the first request.

[0172] In this embodiment of the application, the first request is used to request the acquisition of artificial intelligence (AI) data of a first area. The first area belongs to a cell under the second node and includes at least one terminal device. The AI ​​data of the first area includes AI data collected by the second node.

[0173] Optionally, the first node and the second node can be network devices.

[0174] Optionally, the technical solutions provided in this application can be applied to fourth-generation (4G) mobile communication technology systems, fifth-generation (5G) mobile communication technology systems, NTN systems, vehicle to everything (V2X), LTE-vehicle (LTE-V), vehicle to vehicle (V2V), vehicle-to-everything (V2X), machine-type communications (MTC), internet of things (IoT), LTE-machine to machine (LTE-M), machine to machine (M2M), or future mobile communication systems such as the future sixth-generation (6G) mobile communication technology, etc. This application does not specifically limit these applications.

[0175] Optionally, the terminal equipment involved in this application may be user equipment (UE), access terminal, terminal unit, user station, terminal station, mobile station, mobile station, remote station, remote terminal, user terminal equipment (TE), mobile device, wireless communication device, terminal agent, tablet computer, handheld device with wireless communication function, computing device or other processing device connected to a wireless modem, vehicle-mounted device, vehicle-mounted transceiver module, wearable device, or terminal device. The access terminal may be a cellular phone, cordless phone, session initiation protocol (SIP) phone, wireless local loop (WLL) station, personal digital assistant (PDA), handheld device with wireless communication function, computing device or other processing device connected to a wireless modem, vehicle-mounted device, drone, robot, point of sale (POS) machine, or customer-premises equipment. Wireless terminals can be CPE (Content Equipment) or wearable devices, including virtual reality (VR) terminal devices, augmented reality (AR) terminal devices, wireless terminals in industrial control, self-driving, remote medical, smart grid, transportation safety, smart city, and smart home applications. Alternatively, terminals can be communication-enabled devices in the Internet of Things (IoT), such as terminals in V2X (e.g., vehicle-to-everything (V2X) communication), device-to-device (D2D) communication, or machine-to-machine (M2M) communication. Terminals can be mobile or fixed.

[0176] Optionally, the network equipment involved in this application can be access network equipment, such as evolved base stations (NodeBs, eNBs, or e-NodeBs) in long-term evolution (LTE) or enhanced LTE (LTE-A) systems, such as traditional macro base stations (eNBs) and micro base stations (eNBs) in heterogeneous network scenarios. Alternatively, it can include next-generation node Bs (gNBs) in new radio (NR) systems. Or, it can include transmission reception points (TRPs), home base stations (e.g., home evolved NodeBs, or home Node Bs, HNBs), base band units (BBUs), base band pools (BBU pools), or wireless fidelity (WiFi) access points (APs), etc. Alternatively, it can include base stations in non-terrestrial networks (NTNs), i.e., those deployed on flight platforms or satellites. In an NTN, network devices or access devices can act as Layer 1 (L1) relays, base stations, or integrated access and backhaul (IAB) nodes. Alternatively, the network devices in this embodiment can be devices implementing base station functions in IoT, such as devices implementing base station functions in drone communication, V2X, D2D, or M2M.

[0177] In some possible scenarios, the network device in this application embodiment can also be a module or unit capable of implementing some functions of a base station. For example, the network device can be a central unit (CU), a distributed unit (DU), a CU-control plane (CP), a CU-user plane (UP), or a radio unit (RU), etc. The CU and DU can be set up separately or included in the same network element, such as in a baseband unit (BBU). The RU can be included in a radio frequency device or radio frequency unit, such as in a remote radio unit (RRU), an active antenna unit (AAU), or a remote radio head (RRH).

[0178] In different systems, CU (or CU-CP and CU-UP), DU, or RU may have different names, but those skilled in the art will understand their meaning. For example, a network device can be a network device or a module of a network device in an Open Radio Access Network (ORAN) system. In an ORAN system, CU can also be called open (O)-CU, DU can also be called O-DU, CU-CP can also be called O-CU-CP, CU-UP can also be called O-CU-UP, and RU can also be called O-RU. Any of the units among CU (or CU-CP, CU-UP), DU, and RU in this application can be implemented through a software module, a hardware module, or a combination of a software module and a hardware module.

[0179] Optionally, the base station in the embodiments of this application may include various forms of base stations, such as: macro base station, micro base station (also known as small station), relay station, access point, home base station, transmission and receiving point (TRP), transmitting point (TP), mobile switching center, etc. The embodiments of this application do not specifically limit this.

[0180] It should be noted that the communication system described in the embodiments of this application is for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and does not constitute a limitation on the technical solutions provided in the embodiments of this application. As those skilled in the art will know, with the evolution of network architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

[0181] Optionally, the related functions of the first node and the second node involved in this application can be implemented by one device, or by multiple devices, or by one or more functional modules within one device, or by one or more chips, or by a system on a chip (SOC) or a chip system. A chip system can be composed of chips or include chips and other discrete devices. This application does not specifically limit this.

[0182] It is understood that the above functions can be network elements in hardware devices, software functions running on dedicated hardware, a combination of hardware and software, or virtualization functions instantiated on a platform (e.g., a cloud platform).

[0183] For example, the related functions of the first and second nodes involved in this application can be achieved through... Figure 6 This is achieved through the communication device 600. Figure 6This is a schematic diagram of the structure of a communication device 600 provided in an embodiment of this application. The communication device 600 includes one or more processors 611. The processor 611 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control the communication device (e.g., network equipment, terminal equipment, or chips), execute software programs, and process data from the software programs.

[0184] Optionally, in one design, the processor 611 may include a program 613 (sometimes referred to as code or instructions) that can be run on the processor 611 to cause the communication device 600 to perform the methods described in the following embodiments.

[0185] Optionally, the communication device 600 may include one or more memories 612 storing a program 614 (sometimes referred to as code or instructions), which can be run on the processor 611 to cause the communication device 600 to perform the methods described in the following method embodiments.

[0186] Optionally, the processor 611 and / or memory 612 may include artificial intelligence (AI) modules 617 and 618, which are used to implement AI-related functions. The AI ​​modules can be implemented through software, hardware, or a combination of both. For example, the AI ​​module may include a radio access network (RAN) intelligence controller (RIC) module. For example, the AI ​​module may be a near real-time RIC or a non-real-time RIC.

[0187] Optionally, the processor 611 and / or memory 612 may also store data. The processor and memory may be configured separately or integrated together.

[0188] Optionally, the communication device 600 may further include a transceiver 615 and / or an antenna 616. The processor 611, sometimes referred to as a processing module, controls the communication device (e.g., a first node or a second node). The transceiver 615, sometimes referred to as a transceiver module, transceiver, transceiver circuit, or transceiver, is used to realize the transmission and reception functions of the communication device through the antenna 616.

[0189] Optionally, in this embodiment, the processor 611 is a central processing unit (CPU), a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller, a programmable logic device (PLD), or any combination thereof. The processor 611 can also be other devices with processing functions, such as circuits, devices, or software modules, without limitation.

[0190] Optionally, in the embodiments of this application, the memory 612 may be a read-only memory (ROM) or other types of static storage devices capable of storing static information and / or instructions; it may also be a random access memory (RAM) or other types of dynamic storage devices capable of storing information and / or instructions; it may also be an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, etc., without limitation.

[0191] Although not shown, as an optional implementation, the communication device 600 also includes output devices and input devices. For example, input devices are devices such as a keyboard, mouse, microphone, or joystick, and output devices are devices such as a display screen or speaker.

[0192] It should be noted that the communication device 600 can be a desktop computer, laptop computer, network server, mobile phone, tablet computer, wireless terminal, embedded device, chip system, or other device. Figure 6 Equipment with a similar structure. Furthermore... Figure 6 The structural composition shown does not constitute a limitation on the communication device, except... Figure 6 In addition to the components shown, the communication device may include more or fewer components than illustrated, or combine certain components, or have different component arrangements.

[0193] In this embodiment of the application, the chip system may be composed of chips or may include chips and other discrete devices.

[0194] Figure 7This is a schematic diagram of the CU-DU separation architecture provided in an embodiment of this application. Figure 7 As shown, the devices in this communication system (e.g., core network devices, access network devices (RAN nodes), terminal devices) are connected to each other through interfaces (e.g., NG interfaces) or air interfaces (Uu).

[0195] One or more devices in this communication system may also be equipped with one or more AI modules (for clarity, Figure 7 (Only one is shown in the image). The access network device can be a single RAN node or can include multiple RAN nodes, such as CU and DU. The CU and / or DU can also be configured with one or more AI modules. Optionally, one or more AI models can also be configured in the CU-CP and / or CU-UP.

[0196] In this embodiment, the AI ​​module is used to implement corresponding AI functions. The AI ​​modules deployed in different devices can be the same or different. Depending on the parameter configuration of the model of different AI modules, they can implement different functions.

[0197] In this embodiment, the AI ​​module model can be configured based on at least one of the following parameters: structural parameters (e.g., the number of neural network layers, the width of the neural network, the connection relationship between layers, the weights of neurons, the activation function of neurons, or at least one of the biases in the activation function), input parameters (e.g., the type and / or dimension of the input parameters), or output parameters (e.g., the type and / or dimension of the output parameters). The biases in the activation function can also be referred to as the biases of the neural network.

[0198] In this embodiment, an AI module may have one or more models, and a model may infer an output, which includes one or more parameters. The learning process, training process, or inference process of different models may be deployed on different nodes or devices, or they may be deployed on the same node or device.

[0199] Figure 8 This is a schematic diagram of a communication system under the ORAN architecture provided in an embodiment of this application. Figure 8 As shown, RIC includes near real-time RIC and non-real-time RIC.

[0200] Near real-time RICs are used for model training and inference. For example, near real-time RICs are used to train AI models, which are then used for inference. Near real-time RICs can obtain information from the access network equipment side and / or the terminal equipment side from RAN nodes (e.g., CU, CU-CP, CU-UP, DU, and / or radio unit (RU)) and / or terminal equipment. This information can be used as training data or inference data.

[0201] Optionally, near real-time RIC can deliver inference results to RAN nodes and / or terminal devices.

[0202] Optionally, inference results can be exchanged between CU and DU, and / or between DU and RU. For example, near real-time RIC submits inference results to DU, and DU sends them to RU.

[0203] Non-real-time RICs are used for model training and inference. For example, a non-real-time RIC is used to train an AI model, which is then used for inference. A non-real-time RIC can obtain information from the access network equipment side and / or the terminal equipment side from RAN nodes (e.g., CU, CU-CP, CU-UP, DU, and / or RU) and / or terminal equipment. This information can be used as training data or inference data, and the inference results can be delivered to the RAN nodes and / or terminal equipment.

[0204] Optionally, inference results can be exchanged between CU and DU, and / or between DU and RU. For example, a non-real-time RIC submits its inference results to DU, which then forwards them to RU.

[0205] In this embodiment of the application, the near real-time RIC and the non-real-time RIC can be set up as separate devices.

[0206] Alternatively, near real-time RICs and non-real-time RICs can also be part of other devices. For example, near real-time RICs can be set in RAN nodes (e.g., CUs or DUs), while non-real-time RICs can be set in operations, OAM, cloud servers, core network devices, or other network devices.

[0207] The following will combine the above. Figures 5 to 8 The communication system shown herein describes the communication method provided in the embodiments of this application.

[0208] It should be noted that in the following embodiments of this application, the message names between network elements, the names of each parameter, or the names of each piece of information are just examples. Other names may also be used in other embodiments, and the method provided in this application does not specifically limit them.

[0209] It is understood that in the embodiments of this application, each network element may execute some or all of the steps in the embodiments of this application. These steps or operations are merely examples, and the embodiments of this application may also execute other operations or variations thereof. Furthermore, the steps may be executed in different orders as presented in the embodiments of this application, and it is not necessary to execute all the operations in the embodiments of this application.

[0210] Figure 9 This is a schematic diagram illustrating an example of the communication method provided in an embodiment of this application. This communication method is applied to... Figure 5 In the communication system shown, this method is illustrated using the interaction between a first node and a second node as an example. Of course, the entity executing the action of the first node in this method can also be a device / module of the first node, such as a chip, processor, or processing module in the first node; similarly, the entity executing the action of the second node in this method can also be a device / module of the second node, such as a chip, processor, or processing module in the second node. This application does not specifically limit this. For example, as... Figure 9 As shown, method 900 includes:

[0211] S910, the first node sends a first request to the second node. Correspondingly, the second node receives the first request from the first node.

[0212] In this embodiment, the first request is used to request AI data for a first region, which belongs to a cell under the second node. For example, the first region can be the area where the cell edge of the second node belongs. In this scheme, if the first region is the edge of a cell under the second node, the first node can more accurately predict CCO problems or provide corresponding CCO strategies, enabling the first node to adjust its strategies in advance and improve network performance.

[0213] Optionally, the first node may send a first request to one cell under the second node, or the first node may send a first request to multiple cells under the second node. This application embodiment does not limit this.

[0214] The first region can be replaced with a specific distribution, or the first region can be replaced with other descriptions, which are not limited in this application embodiment.

[0215] The first request can be a newly added signaling in a data collection request message, or the first request can be a newly added signaling in a resource status request message, or the first request can be a separate new signaling; this application embodiment does not limit this.

[0216] In this embodiment, the AI ​​data in the first region includes AI data collected by the second node. The AI ​​data collected by the second node may include at least one of the following: the current AI data of the second node, the AI ​​data measured by the second node, or the AI ​​data predicted by the second node. It should be noted that the current AI data of the second node and the AI ​​data measured by the second node can be considered equivalent descriptions.

[0217] In this embodiment of the application, the first request may include at least one of the following: first instruction information, second instruction information, or third instruction information.

[0218] In this embodiment, the first indication information is used to indicate the second node; in other words, the first indication information is used to indicate which node's specific distribution of AI data the first node wants to acquire. The first indication information may include at least one of the following: the identifier of the second node, the identifier of the cell under the second node, or the identifier of the SSB corresponding to the second node.

[0219] In this embodiment of the application, the second indication information is used to indicate the range of the first area. The second indication information may include at least one of the following: indication information indicating the first area, handover parameters related to the first area, path loss parameters related to the first area, indication information of the SSB or cell related to the first area, slice information corresponding to the first area, reporting conditions, or parameters of the reporting features corresponding to the AI ​​data of the first area.

[0220] Optionally, the indication information for the first region can be 1 bit of indication information.

[0221] For example, the indication information indicating the first region can be 1 bit indicating the region to which the cell edge of the second node belongs. The second node can determine the AI ​​data of the cell edge based on this indication information. For instance, if the threshold value for a terminal device to switch from a cell under the second node to a cell under the first node is a first threshold value, and the signal quality of at least one terminal device is greater than or equal to a second threshold value, then the second node determines that the at least one terminal device is a cell edge terminal device of the second node.

[0222] Wherein, the signal quality of at least one terminal device is the signal quality of the cell under the first node measured when at least one terminal device is connected to the cell under the second node, that is, when the signal quality of at least one terminal device is greater than or equal to the second threshold, at least one terminal device can switch from the cell under the second node to the cell under the first node.

[0223] In this embodiment of the application, the signal quality can be the reference signal receiving power (RSRP), the reference signal received quality (RSRQ), or the signal interference noise ratio (SINR), etc., and this embodiment of the application does not limit it.

[0224] Optionally, the handover parameters related to the first area can be cell-level handover parameters.

[0225] For example, the handover parameters related to the first region can indicate the region to which the cell edge of the second node belongs. That is, if at least one terminal device is about to perform a cell handover, then at least one terminal device is located at the edge of the serving cell, or at the edge of the cell to be handed over to. The handover parameters related to the first region can be a threshold value for cell handover, or a change value of the cell handover threshold, or indication information indicating the cell handover threshold level, or a cell handover threshold range, or a list of cell handovers, etc. This application embodiment does not limit these aspects.

[0226] Optionally, the path loss parameter associated with the first area can be the path loss parameter of at least one terminal device within the first area. For example, the path loss parameter can be a value of the path loss parameter, or a range of the path loss parameter. Similarly, the path loss parameter of at least one terminal device within the first area indicates the area to which the at least one terminal device is located at the cell edge of the second node.

[0227] Optionally, the indication information of the SSB or cell associated with the first area is used to indicate the area range where at least one terminal device near the SSB or cell is located. For example, if the cell of the first node is cell 3, the cell of the second node is cell 2, and the area range where at least one terminal device near the SSB or cell is located is cell 2, then the first area is the area where cell 2 and cell 3 overlap.

[0228] In this embodiment of the application, the third indication information is used to indicate the time information of the AI ​​data. The third indication information may include at least one of the following: the AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time.

[0229] For example, the requested prediction time for AI data can be the prediction moment of the requested prediction information, or the time period of the requested prediction information, etc.

[0230] For example, the request reporting time for AI data may include the moment when the second node requests the first node to send the first report, or the time period during which the second node requests the first node to send the first report.

[0231] For example, the request collection time for AI data may include the moment when the second node collects AI data, or the time period during which the second node collects AI data, etc.

[0232] Optionally, the parameters of the reported features corresponding to the AI ​​data in the first region can be the parameter range of the reported features corresponding to the AI ​​data in the first region.

[0233] For example, when the parameter value of the reporting feature corresponding to the AI ​​data determined by the second node meets the parameter range of the reporting feature corresponding to the AI ​​data in the first region, the second node includes the parameter value of the reporting feature corresponding to the AI ​​data in the first report sent to the first node. That is, when the parameter value of the reporting feature determined by the second node meets the parameter range of the reporting feature corresponding to the AI ​​data in the first region included in the first request, the second node reports the parameter value of the reporting feature corresponding to the AI ​​data to the first node.

[0234] In this embodiment of the application, the AI ​​data request prediction time can be a 1-bit indication information, used to indicate the time corresponding to the AI ​​data predicted by the second node. For example, if the AI ​​data request prediction time is time period T1, then the second node determines the AI ​​data for time period T1, or the first node requests the second node to predict the AI ​​data for time period T1.

[0235] Optionally, in this application embodiment, the first request may further include reporting features corresponding to the AI ​​data of the first region, wherein the reporting features may include at least one of the following: AI data corresponding to each terminal device in at least one terminal device in the first region, AI data of the average value of AI data of at least one terminal device in the first region, or cell-level AI data corresponding to the first region.

[0236] For example, the AI ​​data corresponding to each terminal device in at least one terminal device in the first area includes at least one of the following: the current and / or predicted measurement results of each terminal device, the current and / or predicted movement trajectory of each terminal device, or the current and / or predicted self-organized network (SON) report of each terminal device.

[0237] The SON report may include: Radio Resource Control (RRC) connection establishment failure (RCEF) report, which indicates that the RRC connection establishment failed; handover failure (HOF) report, which indicates that the handover failed; successful handover report (SHR) report, which indicates that the handover was successful; and random access (RA) report, which indicates that the random access was successful.

[0238] For example, the average AI data of at least one terminal device in the first area includes at least one of the following: the current, and / or predicted average access success rate, the current, and / or predicted average access latency, the current, and / or predicted average call drop rate, or the current, and / or predicted average measurement result.

[0239] For example, the cell-level AI data corresponding to the first area includes at least one of the following:

[0240] Current and / or predicted radio resource configuration information, current and / or predicted number of handover failures, or current and / or predicted mobility failure information.

[0241] The wireless resource configuration information may include, for example, physical resource block (PRAB) utilization, number of active terminal devices, and number of RRC connections.

[0242] S920, in response to the first request, the second node sends a first report to the first node. Accordingly, the first node receives the first report from the second node.

[0243] In this embodiment of the application, the first report indicates AI data in the first region. For example, the first report includes the AI ​​data corresponding to the reporting features included in the first request, that is, if the first node requests the second node to report certain AI data, then the second node includes the requested AI data in the first report.

[0244] Optionally, the first report may be a signaling added in the data collection update message, or the first report may be a signaling added in the resource status update message, or the first report may be a separate new signaling message. This application embodiment does not limit this.

[0245] Alternatively, S920 can be replaced by: in response to the first request, the second node sends a third instruction message to the first node. Correspondingly, the first node receives the third instruction message from the second node.

[0246] In this embodiment, the third indication information is used to indicate that the second node cannot provide AI data for the first region. Alternatively, the third indication information indicates that the second node provides a first report of failure to the first node. Optionally, the third indication information may include a reason for failure, such as the second node being unable to provide the collected AI data.

[0247] The communication method provided in this application embodiment involves a first node sending a first request to a second node to request AI data for a first region. Based on this request, the second node sends a first report indicating the AI ​​data for the first region to the first node. The first region belongs to a cell under the second node; that is, the first node can request AI data for a specific region within a cell under the second node. This ensures that the first report obtained by the first node contains the requested AI data for that specific region within the cell under the second node. This more precise first report avoids the waste of statistical and computational resources caused by the second node sending cell-level AI data from the second node to the first node. Furthermore, if the first region is the edge of a cell under the second node, the first node can more accurately predict CCO problems or provide corresponding CCO strategies, enabling the first node to adjust strategies in advance and improve network performance.

[0248] Figure 10 This is a schematic diagram illustrating an example of the communication method provided in an embodiment of this application. This communication method is applied to... Figure 7 In the communication system shown, specifically in a CU-DU separation architecture, this method is illustrated using the interaction between the first CU of the first node, the first DU of the first node, the second CU of the second node, and the second DU of the second node as an example. Of course, the entity executing the action of the first CU in this method can also be a device / module of the first CU, such as a chip, processor, or processing module within the first CU; the entity executing the action of the first DU in this method can also be a device / module of the first DU, such as a chip, processor, or processing module within the first DU; or, the entity executing the action of the second CU in this method can also be a device / module of the second CU, such as a chip, processor, or processing module within the second CU; the entity executing the action of the second DU in this method can also be a device / module of the second DU, such as a chip, processor, or processing module within the second DU. This application embodiment does not specifically limit this. For example, as... Figure 10 As shown, the first CU is the CU of the first node, the first DU is the DU of the first node, the second CU is the CU of the second node, and the second DU is the DU of the second node. The method 1000 includes:

[0249] S1010, the first CU sends a first request to the second CU. Correspondingly, the second CU receives the first request from the first CU.

[0250] In this embodiment of the application, the first request is used to request the acquisition of AI data in a first region, which belongs to a cell under the second node.

[0251] The relevant description of the first request can be found in step S910. Simply replace the first node with the first CU and the second node with the second CU. The embodiments of this application will not be repeated here.

[0252] In one possible implementation of this application embodiment, the AI ​​module is deployed on the CU. Optionally, the communication method provided in this application embodiment further includes:

[0253] S1030, the second CU determines a first list of at least one terminal device within the first area.

[0254] S1040, the second CU sends at least one of the following to the second DU: a first list, a first request, or a reported feature. Correspondingly, the second DU receives at least one of the following from the second CU: a first list, a first request, or a reported feature.

[0255] The reported features may include AI data corresponding to each terminal device in the first list, or they may include the average value of AI data of the terminal devices in the first list, which is calculated and determined by the second DU.

[0256] In another possible implementation of this application embodiment, the AI ​​module is deployed on the DU. Optionally, the communication method provided in this application embodiment further includes:

[0257] S1050, the first DU sends a second request to the first CU. Correspondingly, the first CU receives the second request from the first DU.

[0258] In this embodiment of the application, the second request is used to request the first CU to determine the first region.

[0259] S1060, the first CU determines the first region according to the second request.

[0260] S1020, in response to the first request, the second CU sends a first report to the first CU. Accordingly, the first CU receives the first report from the second CU.

[0261] The relevant description of the first report can be found in the relevant description in S920. Simply replace the first node with the first CU and the second node with the second CU. The embodiments of this application will not be repeated here.

[0262] The communication method provided in this application embodiment involves a first CU sending a first request to a second CU to request AI data for a first region. Based on this request, the second CU sends a first report indicating the AI ​​data for the first region to the first CU. The first region belongs to a cell under a second node, meaning the first CU can request AI data for a specific region within a cell under the second node from the second CU. This results in the first report being the requested AI data for that specific region within the cell under the second CU, providing more precise AI data for that specific region. This avoids the waste of statistical and computational resources caused by the second CU sending cell-level AI data from the second node to the first CU. Furthermore, if the first region is the edge of a cell under the second CU, the first CU can more accurately predict CCO problems or provide corresponding CCO strategies, enabling the first CU to adjust strategies in advance and improve network performance.

[0263] Figure 11 This is a schematic diagram illustrating an example of the communication method provided in an embodiment of this application. This communication method is applied to... Figure 8 The communication system shown is the ORAN communication system. This method is illustrated using the interaction between the RIC, first CU, first DU, second CU, and second DU of the first node as an example. Of course, the entity executing the RIC action in this method can also be a device / module of the RIC, such as a chip, processor, or processing module in the RIC; the entity executing the first CU action in this method can also be a device / module of the first CU, such as a chip, processor, or processing module in the first CU; the entity executing the first DU action in this method can also be a device / module of the first DU, such as a chip, processor, or processing module in the first DU; or, the entity executing the second CU action in this method can also be a device / module of the second CU, such as a chip, processor, or processing module in the second CU; the entity executing the second DU action in this method can also be a device / module of the second DU, such as a chip, processor, or processing module in the second DU. This application embodiment does not specifically limit this. For example, as... Figure 11 As shown, the first CU is the CU of the first node, the first DU is the DU of the first node, the second CU is the CU of the second node, and the second DU is the DU of the second node. The method 1100 includes:

[0264] S1110, RIC sends a third request to the first CU. Correspondingly, the first CU receives the third request from RIC.

[0265] In this embodiment of the application, the third request is used to request the first CU to determine the first region.

[0266] S1120, the first CU sends a first request to the second CU. Correspondingly, the second CU receives the first request from the first CU.

[0267] In this embodiment of the application, the relevant description of the first request can be referred to the description in method S910. It is only necessary to replace the first node with the first CU and the second node with the second CU. This embodiment of the application will not repeat the description here.

[0268] In one possible implementation of this application embodiment, the AI ​​module is deployed on the CU. Optionally, the communication method provided in this application embodiment further includes:

[0269] S1150, the second CU determines a first list of at least one terminal device within the first area.

[0270] S1160, the second CU sends at least one of the following to the second DU: a first list, a first request, or a reported feature. Correspondingly, the second DU receives at least one of the following from the second CU: a first list, a first request, or a reported feature.

[0271] For a description of steps S1150 and S1160, please refer to the description of steps S1030 and S1040. The embodiments of this application will not be repeated here.

[0272] In another possible implementation of this application embodiment, the AI ​​module is deployed on the DU. Optionally, the communication method provided in this application embodiment further includes:

[0273] S1170, the first DU sends a second request to the first CU. Correspondingly, the first CU receives the second request from the first DU.

[0274] In this embodiment of the application, the second request is used to request the first CU to determine the first region.

[0275] S1180, the first CU determines the first region according to the second request.

[0276] For a description of steps S1170 and S1180, please refer to the description of steps S1050 and S1060. The embodiments of this application will not be repeated here.

[0277] S1130, in response to the first request, the second CU sends a first report to the first CU. Accordingly, the first CU receives the first report from the second CU.

[0278] In this embodiment, the description of the first report can be referred to the description in S920. The first node is replaced with the first CU and the second node is replaced with the second CU. This embodiment will not be repeated here.

[0279] S1140, the first CU sends a first report to the RIC. Correspondingly, the RIC receives the first report from the first CU.

[0280] The communication method provided in this application embodiment involves a first CU sending a first request to a second CU to request AI data for a first region. Based on this request, the second CU sends a first report indicating the AI ​​data for the first region to the first CU. The first region belongs to a cell under a second node, meaning the first CU can request AI data for a specific region within a cell under the second node from the second CU. This results in the first report being the requested AI data for that specific region within the cell under the second CU, providing more precise AI data for that specific region. This avoids the waste of statistical and computational resources caused by the second CU sending cell-level AI data from the second node to the first CU. Furthermore, if the first region is the edge of a cell under the second CU, the first CU can more accurately predict CCO problems or provide corresponding CCO strategies, enabling the first CU to adjust strategies in advance and improve network performance.

[0281] The above-described method 900 mainly introduces the solution provided by the embodiments of this application from the perspective of the interaction between the first node and the second node. Correspondingly, the embodiments of this application also provide a communication device for implementing the various methods described above. This communication device can be the first node in the above method embodiments, or a device containing the first node, or a component usable in the first node; or, the communication device can be the second node in the above method embodiments, or a device containing the second node, or a component usable in the second node. It is understood that, in order to achieve the above functions, the communication device includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed by hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0282] This application embodiment can divide the communication device into functional modules according to the above method embodiment. For example, each function can be divided into a separate functional module, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or as a software functional module. It should be understood that the module division in this application embodiment is illustrative and is only a logical functional division. In actual implementation, there may be other division methods.

[0283] for example, Figure 12 This is a schematic diagram of a communication device provided in an embodiment of this application. Taking the communication device as the first node in the above-described method embodiment 900 (which may be a chip, chip system, processor, circuit, module, or internal device of the first node), the first node includes a transceiver module 1210 and a processing module 1220. The transceiver module 1210, also known as a transceiver module, is used to implement transceiver functions, and may be, for example, a transceiver circuit, transceiver, transceiver device, or communication interface.

[0284] In this embodiment of the application, the processing module 1220 is used to determine the first request.

[0285] In this embodiment of the application, the transceiver module 1210 is used to send a first request.

[0286] In this embodiment of the application, the first request is used to request the acquisition of artificial intelligence (AI) data of a first area, the first area being a cell under the second node, wherein the AI ​​data of the first area includes AI data collected by the second node.

[0287] In one possible implementation, the transceiver module 1210 is also used to receive the first report.

[0288] The first report specifically refers to AI data from the first region.

[0289] In one possible implementation, the first request includes at least one of the following: first indication information, which is used to indicate the second node; second indication information, which is used to indicate the range of the first area; or, third indication information, which indicates the time information of the AI ​​data.

[0290] In one possible implementation, the first indication information includes at least one of the following: the identifier of the second node, the identifier of the cell under the second node, or the identifier of the synchronization signal or physical broadcast channel block (SSB) corresponding to the second node.

[0291] In one possible implementation, the second indication information includes at least one of the following: indication information indicating the first area, handover parameters related to the first area, path loss parameters related to the first area, indication information of the SSB or cell related to the first area, slice information corresponding to the first area, or parameters of the reporting features corresponding to the AI ​​data of the first area.

[0292] In one possible implementation, the handover parameters related to the first area are cell-level handover parameters.

[0293] In one possible implementation, the road loss parameters related to the first region are the road loss parameters of at least one terminal device within the first region.

[0294] In one possible implementation, the indication information of the SSB or cell associated with the first area is used to indicate the area range where at least one terminal device is located near the SSB or cell.

[0295] In one possible implementation, the third instruction information includes at least one of the following: the AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time.

[0296] In one possible implementation, the first request may also include: the reported features corresponding to the AI ​​data of the first region.

[0297] In this application embodiment, the reported features include at least one of the following: AI data corresponding to each terminal device in at least one terminal device in the first area, AI data of the average value of AI data of at least one terminal device in the first area, or cell-level AI data corresponding to the first area.

[0298] In one possible implementation, the AI ​​data corresponding to each terminal device in at least one terminal device in the first area includes at least one of the following: the current and / or predicted measurement results of each terminal device, the current and / or predicted movement trajectory of each terminal device, or the current and / or predicted self-organizing network (SON) report of each terminal device.

[0299] In one possible implementation, the average AI data of at least one terminal device in the first area includes at least one of the following: the current, and / or predicted average access success rate, the current, and / or predicted average access latency, the current, and / or predicted average call drop rate, or the current, and / or predicted average measurement result.

[0300] The cell-level AI data corresponding to the first area includes at least one of the following: current and / or predicted radio resource configuration information, current and / or predicted number of handover failures, or current and / or predicted mobility failure information.

[0301] In one possible implementation, the first region is the region to which the cell edge of the second node belongs.

[0302] In one possible implementation, the AI ​​data collected by the second node includes at least one of the following: the current AI data of the second node, the AI ​​data measured by the second node, or the AI ​​data predicted by the second node.

[0303] Alternatively, taking the communication device as the second node in the above method embodiment (which may be a chip of the second node, a module of the second node, or an internal device of the second node) as an example, the second node includes a transceiver module 1210 and a processing module 1220. The transceiver module 1210, also known as a transceiver module, is used to implement the transceiver function, and may be, for example, a transceiver circuit, a transceiver, a transceiver device, or a communication interface.

[0304] In this embodiment of the application, the transceiver module 1210 is used to receive the first request.

[0305] In this embodiment of the application, the processing module 1220 is used to determine the first report.

[0306] In this embodiment of the application, the transceiver module 1210 is also used to send a first report.

[0307] In this embodiment of the application, the first request is used to request the acquisition of artificial intelligence (AI) data of a first area, the first area being a cell under the second node, wherein the AI ​​data of the first area includes AI data collected by the second node; the first report indicates the AI ​​data of the first area.

[0308] In one possible implementation, the first request includes at least one of the following: first indication information, which is used to indicate the second node; second indication information, which is used to indicate the range of the first area; or, third indication information, which is used to indicate the time information of the AI ​​data.

[0309] In one possible implementation, the first indication information includes at least one of the following: the identifier of the second node, the identifier of the cell under the second node, or the identifier of the synchronization signal or physical broadcast channel block (SSB) corresponding to the second node.

[0310] In one possible implementation, the second indication information includes at least one of the following: indication information indicating the first area, handover parameters related to the first area, path loss parameters related to the first area, indication information of the SSB or cell related to the first area, slice information corresponding to the first area, or parameters of the reporting features corresponding to the AI ​​data of the first area.

[0311] In one possible implementation, the handover parameters related to the first area are cell-level handover parameters.

[0312] In one possible implementation, the road loss parameters related to the first region are the road loss parameters of at least one terminal device within the first region.

[0313] In one possible implementation, the indication information of the SSB or cell associated with the first area is used to indicate the area range where at least one terminal device is located near the SSB or cell.

[0314] In one possible implementation, the third instruction information includes at least one of the following: the AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time.

[0315] In one possible implementation, the first request further includes: reporting features corresponding to the AI ​​data of the first area; the reporting features include at least one of the following: AI data corresponding to each terminal device in at least one terminal device in the first area, AI data of the average value of at least one terminal device in the first area, or, cell-level AI data corresponding to the first area.

[0316] In one possible implementation, the AI ​​data corresponding to each terminal device in at least one terminal device in the first area includes at least one of the following: the current and / or predicted measurement results of each terminal device, the current and / or predicted movement trajectory of each terminal device, or the current and / or predicted self-organizing network (SON) report of each terminal device.

[0317] AI data for the average value of at least one terminal device in the first area includes at least one of the following: current, and / or predicted average access success rate, current, and / or predicted average access latency, current, and / or predicted average call drop rate, or current, and / or predicted average measurement result.

[0318] The cell-level AI data corresponding to the first region includes at least one of the following: current and / or predicted radio resource configuration information, current and / or predicted number of handover failures, or current and / or predicted mobility failure information. In one possible implementation, the first region is the region to which the cell edge of the second node belongs.

[0319] In one possible implementation, the AI ​​data collected by the second node includes at least one of the following: the current AI data of the second node, the AI ​​data measured by the second node, or the AI ​​data predicted by the second node.

[0320] All relevant content of each step involved in the above method embodiments can be referred to in the functional description of the corresponding functional module, and will not be repeated here. Optionally, the communication device may further include a storage module 1230, which can be used to store instructions and / or data, and the processing module 1220 can read the instructions and / or data in the storage module 1230.

[0321] In this embodiment, the communication device can be presented in an integrated manner, divided into various functional modules. Here, "module" can refer to application-specific integrated circuits (ASICs), circuits, processors and memory executing one or more software or firmware programs, integrated logic circuits, and / or other devices that can provide the aforementioned functions. In a simple embodiment, those skilled in the art will understand that the communication device can adopt... Figure 6 The communication device 600 shown is in the form of this device.

[0322] for example, Figure 6 The processor 611 in the communication device 600 shown can execute the communication method in the above method embodiment by calling the computer execution instructions stored in the memory 612.

[0323] Specifically, Figure 12 The functions / implementation process of the transceiver module 1210 and the processing module 1220 can be obtained through... Figure 6 The processor 611 in the communication device 600 shown calls computer execution instructions stored in memory 612 to implement the function. Alternatively, Figure 12 The function / implementation process of the processing module 1220 can be achieved through... Figure 6 The processor 611 in the communication device 600 shown calls computer execution instructions stored in the memory 612 to implement the function.

[0324] Since the communication device provided in this application embodiment (which may be a chip of the communication device, a module of the communication device, or a device inside the communication device) can execute the above communication method, the technical effects it can obtain can be referred to the above method embodiment, and will not be repeated here.

[0325] It should be understood that one or more of the above modules or units can be implemented by software, hardware, or a combination of both. When any of the above modules or units are implemented by software, the software exists as computer program instructions and is stored in memory. The processor can be used to execute the program instructions and implement the above method flow. The processor can be built into a SoC (System-on-a-Chip) or ASIC, or it can be a separate semiconductor chip. In addition to the core that executes software instructions for computation or processing, the processor may further include necessary hardware accelerators, such as field-programmable gate arrays (FPGAs), PLDs (Programmable Logic Devices), or logic circuits that implement dedicated logic operations.

[0326] When the above modules or units are implemented in hardware, the hardware can be any one or any combination of a CPU, microprocessor, digital signal processing (DSP) chip, microcontroller unit (MCU), artificial intelligence processor, ASIC, SoC, FPGA, PLD, application-specific digital circuit, hardware accelerator, or non-integrated discrete device, which can run the necessary software or perform the above method flow independently of software.

[0327] Optionally, embodiments of this application also provide a communication device (e.g., the communication device may be a chip or a chip system), which includes a processor for implementing the methods in any of the above method embodiments. In one possible design, the communication device further includes a memory. The memory is used to store necessary program instructions and data, and the processor can call the program code stored in the memory to instruct the communication device to execute the methods in any of the above method embodiments. Of course, the memory may not be included in the communication device. When the communication device is a chip system, it may be composed of chips or may include chips and other discrete devices; embodiments of this application do not specifically limit this.

[0328] Optionally, embodiments of this application also provide a computer-readable storage medium storing a computer program or instructions that, when run on a communication device, enable the communication device to execute the methods described in any of the above method embodiments or any implementation thereof.

[0329] Optionally, embodiments of this application also provide a communication system, which includes the first node and the second node described in the above method embodiments.

[0330] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented using software programs, implementation can be, in whole or in part, in the form of a computer program product. This computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device containing one or more servers, data centers, etc., that can be integrated with the medium. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state disks, SSDs).

[0331] Although this application has been described herein in conjunction with various embodiments, those skilled in the art, by reviewing the accompanying drawings, the disclosure, and the appended claims, will understand and implement other variations of the disclosed embodiments in carrying out the claimed application. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude multiple instances. A single processor or other unit can implement several functions listed in the claims. While different dependent claims may recite certain measures, this does not mean that these measures cannot be combined to produce good results.

[0332] Although this application has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made thereto without departing from the scope of this application. Accordingly, this specification and drawings are merely illustrative descriptions of the application as defined by the appended claims, and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Thus, if such modifications and modifications fall within the scope of the claims and their equivalents, this application is also intended to include such modifications and modifications.

[0333] The above-described method 1000 mainly introduces the solution provided by the embodiments of this application from the perspective of the interaction between the first CU, the first DU, the second CU, and the second DU. Correspondingly, the embodiments of this application also provide a communication device for implementing the various methods described above. This communication device can be the first CU in the above method embodiments, or a device containing the first CU, or a component usable in the first CU; or, the communication device can be the first DU in the above method embodiments, or a device containing the first DU, or a component usable in the first DU; or, the communication device can be the second CU in the above method embodiments, or a device containing the second CU, or a component usable in the second CU; or, the communication device can be the second DU in the above method embodiments, or a device containing the second DU, or a component usable in the second DU. It is understood that, in order to achieve the above functions, the communication device includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is implemented through hardware or computer software-driven hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described function for each specific application, but such implementation should not be considered beyond the scope of this application.

[0334] This application embodiment can divide the communication device into functional modules according to the above method embodiment. For example, each function can be divided into a separate functional module, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or as a software functional module. It should be understood that the module division in this application embodiment is illustrative and is only a logical functional division. In actual implementation, there may be other division methods.

[0335] for example, Figure 12 This is a schematic diagram of a communication device provided in an embodiment of this application. Taking the communication device as the first node in the above-described method embodiment 900 (which may be a chip, chip system, processor, circuit, module, or internal device of the first node), the first node includes a transceiver module 1210 and a processing module 1220. The transceiver module 1210, also known as a transceiver module, is used to implement transceiver functions, and may be, for example, a transceiver circuit, transceiver, transceiver device, or communication interface.

[0336] In this embodiment of the application, the processing module 1220 is used to determine the first request.

[0337] In this embodiment of the application, the transceiver module 1210 is used to send a first request to the second CU.

[0338] In this embodiment of the application, the first request is used to request the acquisition of AI data in a first area. The first area belongs to a cell under a second node, the second CU belongs to a CU of the second node, and the first CU belongs to the first node. The AI ​​data in the first area includes AI data collected by the second CU.

[0339] In one possible implementation, the transceiver module 1210 is also used to receive a second request from the first DU.

[0340] In this embodiment of the application, the second request is used to request the first CU to determine the first region.

[0341] In one possible implementation, the processing module 1220 is further configured to determine the first region based on the second request.

[0342] In one possible implementation, the transceiver module 1210 is also used to receive the first report.

[0343] In this embodiment of the application, the first report indicates AI data in the first region.

[0344] In one possible implementation, the first request includes at least one of the following: first indication information, which is used to indicate the second node; second indication information, which is used to indicate the range of the first area; or, third indication information, which is used to indicate the time information of the AI ​​data.

[0345] In one possible implementation, the first indication information includes at least one of the following: the identifier of the second node, the identifier of the cell under the second node, or the identifier of the synchronization signal or physical broadcast channel block (SSB) corresponding to the second node.

[0346] In one possible implementation, the second indication information includes at least one of the following: indication information indicating the first area, handover parameters related to the first area, path loss parameters related to the first area, indication information of the SSB or cell related to the first area, slice information corresponding to the first area, or parameters of the reporting features corresponding to the AI ​​data of the first area.

[0347] In one possible implementation, the handover parameters related to the first area are cell-level handover parameters.

[0348] In one possible implementation, the road loss parameters related to the first region are the road loss parameters of at least one terminal device within the first region.

[0349] In one possible implementation, the indication information of the SSB or cell associated with the first area is used to indicate the area range where at least one terminal device is located near the SSB or cell.

[0350] In one possible implementation, the third instruction information includes at least one of the following: the AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time.

[0351] In one possible implementation, the first request further includes: reporting features corresponding to the AI ​​data of the first area; the reporting features include at least one of the following: AI data corresponding to each terminal device in at least one terminal device in the first area, AI data of the average value of AI data of at least one terminal device in the first area, or, cell-level AI data corresponding to the first area.

[0352] In one possible implementation, the AI ​​data corresponding to each terminal device in at least one terminal device within the first area includes at least one of the following: the current and / or predicted measurement results of each terminal device, the current and / or predicted movement trajectory of each terminal device, or the current and / or predicted ad hoc network SON report of each terminal device; the AI ​​data of the average values ​​of at least one terminal device within the first area includes at least one of the following: the current and / or predicted average access success rate, the current and / or predicted average access latency, the current and / or predicted average call drop rate, or the current and / or predicted average measurement results; the cell-level AI data corresponding to the first area includes at least one of the following: the current and / or predicted radio resource configuration information, the current and / or predicted number of handover failures, or the current and / or predicted mobility failure information.

[0353] In one possible implementation, the first region is the region to which the cell edge of the second node belongs.

[0354] In one possible implementation, the AI ​​data collected by the second node includes at least one of the following: the current AI data of the second node, the AI ​​data measured by the second node, or the AI ​​data predicted by the second node.

[0355] Alternatively, taking the communication device as the second node in the above method embodiment (which may be a chip of the second node, a module of the second node, or an internal device of the second node) as an example, the second node includes a transceiver module 1210 and a processing module 1220. The transceiver module 1210, also known as a transceiver module, is used to implement the transceiver function, and may be, for example, a transceiver circuit, a transceiver, a transceiver device, or a communication interface.

[0356] In this embodiment of the application, the transceiver module 1210 is used to receive a first request from the first CU.

[0357] In this embodiment of the application, the processing module 1220 is used to determine the first report.

[0358] In this embodiment of the application, the transceiver module 1210 is further configured to send a first report to the first CU in response to the first request.

[0359] In this embodiment of the application, the first request is used to request the acquisition of AI data in a first area, the first area being a cell under a second node, and the second CU being a cell under the second node; the first report indicates the AI ​​data in the first area; wherein, the AI ​​data in the first area includes AI data collected by the second CU.

[0360] In one possible implementation, the processing module 1220 is further configured to determine a first list of at least one terminal device within the first area.

[0361] In one possible implementation, the transceiver module 1210 is further configured to send at least one of the following to the second DU: a first list, a first request, or a reporting feature corresponding to the AI ​​data of the first region.

[0362] Among them, the second DU belongs to the second node, and the first request includes reporting features, which include AI data of each terminal device in at least one terminal device in the first area, AI data of the average value of at least one terminal device in the first area, and cell-level AI data corresponding to the first area.

[0363] In one possible implementation, the first request includes at least one of the following: first indication information, which is used to indicate the second node; second indication information, which is used to indicate the range of the first area; or, third indication information, which is used to indicate the time information of the AI ​​data.

[0364] In one possible implementation, the first indication information includes at least one of the following: the identifier of the second node, the identifier of the cell under the second node, or the identifier of the synchronization signal or physical broadcast channel block (SSB) corresponding to the second node.

[0365] In one possible implementation, the second indication information includes at least one of the following: indication information indicating the first area, handover parameters related to the first area, path loss parameters related to the first area, indication information of the SSB or cell related to the first area, slice information corresponding to the first area, or parameters of the reporting features corresponding to the AI ​​data of the first area.

[0366] In one possible implementation, the handover parameters related to the first area are cell-level handover parameters.

[0367] In one possible implementation, the road loss parameters related to the first region are the road loss parameters of at least one terminal device within the first region.

[0368] In one possible implementation, the indication information of the SSB or cell associated with the first area is used to indicate the area range where at least one terminal device is located near the SSB or cell.

[0369] In one possible implementation, the third instruction information includes at least one of the following: the AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time.

[0370] In one possible implementation, the first request further includes: reporting features corresponding to the AI ​​data of the first area; the reporting features include at least one of the following: AI data corresponding to each terminal device in at least one terminal device in the first area, AI data of the average value of at least one terminal device in the first area, or, cell-level AI data corresponding to the first area.

[0371] In one possible implementation, the AI ​​data corresponding to each terminal device in at least one terminal device within the first area includes at least one of the following: the current and / or predicted measurement results of each terminal device, the current and / or predicted movement trajectory of each terminal device, or the current and / or predicted ad hoc network SON report of each terminal device; the AI ​​data of the average values ​​of at least one terminal device within the first area includes at least one of the following: the current and / or predicted average access success rate, the current and / or predicted average access latency, the current and / or predicted average call drop rate, or the current and / or predicted average measurement results; the cell-level AI data corresponding to the first area includes at least one of the following: the current and / or predicted radio resource configuration information, the current and / or predicted number of handover failures, or the current and / or predicted mobility failure information.

[0372] In one possible implementation, the first region is the region to which the cell edge of the second node belongs. This scheme allows the second CU point to determine that the first region is the region to which the cell edge of the second CU belongs.

[0373] In one possible implementation, the AI ​​data collected by the second node includes at least one of the following: the current AI data of the second node, the AI ​​data measured by the second node, or the AI ​​data predicted by the second node.

[0374] All relevant content of each step involved in the above method embodiments can be referred to in the functional description of the corresponding functional module, and will not be repeated here. Optionally, the communication device may further include a storage module 1230, which can be used to store instructions and / or data, and the processing module 1220 can read the instructions and / or data in the storage module 1230.

[0375] In this embodiment, the communication device can be presented in an integrated manner, divided into various functional modules. Here, "module" can refer to application-specific integrated circuits (ASICs), circuits, processors and memory executing one or more software or firmware programs, integrated logic circuits, and / or other devices that can provide the aforementioned functions. In a simple embodiment, those skilled in the art will understand that the communication device can adopt... Figure 6 The communication device 600 shown is in the form of this device.

[0376] for example, Figure 6 The processor 611 in the communication device 600 shown can execute the communication method in the above method embodiment by calling the computer execution instructions stored in the memory 612.

[0377] Specifically, Figure 12 The functions / implementation process of the transceiver module 1210 and the processing module 1220 can be obtained through... Figure 6 The processor 611 in the communication device 600 shown calls computer execution instructions stored in memory 612 to implement the function. Alternatively, Figure 12 The function / implementation process of the processing module 1220 can be achieved through... Figure 6 The processor 611 in the communication device 600 shown calls computer execution instructions stored in the memory 612 to implement the function.

[0378] Since the communication device provided in this application embodiment (which may be a chip of the communication device, a module of the communication device, or a device inside the communication device) can execute the above communication method, the technical effects it can obtain can be referred to the above method embodiment, and will not be repeated here.

[0379] It should be understood that one or more of the above modules or units can be implemented by software, hardware, or a combination of both. When any of the above modules or units are implemented by software, the software exists as computer program instructions and is stored in memory. The processor can be used to execute the program instructions and implement the above method flow. The processor can be built into a SoC (System-on-a-Chip) or ASIC, or it can be a separate semiconductor chip. In addition to the core that executes software instructions for computation or processing, the processor may further include necessary hardware accelerators, such as field-programmable gate arrays (FPGAs), PLDs (Programmable Logic Devices), or logic circuits that implement dedicated logic operations.

[0380] When the above modules or units are implemented in hardware, the hardware can be any one or any combination of a CPU, microprocessor, digital signal processing (DSP) chip, microcontroller unit (MCU), artificial intelligence processor, ASIC, SoC, FPGA, PLD, application-specific digital circuit, hardware accelerator, or non-integrated discrete device, which can run the necessary software or perform the above method flow independently of software.

[0381] Optionally, embodiments of this application also provide a communication device (e.g., the communication device may be a chip or a chip system), which includes a processor for implementing the methods in any of the above method embodiments. In one possible design, the communication device further includes a memory. The memory is used to store necessary program instructions and data, and the processor can call the program code stored in the memory to instruct the communication device to execute the methods in any of the above method embodiments. Of course, the memory may not be included in the communication device. When the communication device is a chip system, it may be composed of chips or may include chips and other discrete devices; embodiments of this application do not specifically limit this.

[0382] Optionally, embodiments of this application also provide a computer-readable storage medium storing a computer program or instructions that, when run on a communication device, enable the communication device to execute the methods described in any of the above method embodiments or any implementation thereof.

[0383] Optionally, embodiments of this application also provide a communication system, which includes the first CU and the second CU described in the above method embodiments.

[0384] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented using software programs, implementation can be, in whole or in part, in the form of a computer program product. This computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device containing one or more servers, data centers, etc., that can be integrated with the medium. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state disks, SSDs).

[0385] Although this application has been described herein in conjunction with various embodiments, those skilled in the art, by reviewing the accompanying drawings, the disclosure, and the appended claims, will understand and implement other variations of the disclosed embodiments in carrying out the claimed application. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude multiple instances. A single processor or other unit can implement several functions listed in the claims. While different dependent claims may recite certain measures, this does not mean that these measures cannot be combined to produce good results.

[0386] Although this application has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made thereto without departing from the scope of this application. Accordingly, this specification and drawings are merely illustrative descriptions of the application as defined by the appended claims, and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Thus, if such modifications and modifications fall within the scope of the claims and their equivalents, this application is also intended to include such modifications and modifications.

[0387] The above-described method 1100 mainly introduces the solution provided by the embodiments of this application from the perspective of RIC, first CU, first DU, second CU, and the interaction of the second DU. Correspondingly, the embodiments of this application also provide a communication device for implementing the various methods described above. This communication device can be the RIC in the above method embodiments, or a device containing the RIC, or a component usable in the RIC; or, the communication device can be the first CU in the above method embodiments, or a device containing the first CU, or a component usable in the first CU; or, the communication device can be the first DU in the above method embodiments, or a device containing the first DU, or a component usable in the first DU; or, the communication device can be the second CU in the above method embodiments, or a device containing the second CU, or a component usable in the second CU; or, the communication device can be the second DU in the above method embodiments, or a device containing the second DU, or a component usable in the second DU. It is understood that, in order to implement the above functions, the communication device includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art will readily recognize that, based on the units and algorithm steps described in conjunction with the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is implemented in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0388] This application embodiment can divide the communication device into functional modules according to the above method embodiment. For example, each function can be divided into a separate functional module, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or as a software functional module. It should be understood that the module division in this application embodiment is illustrative and is only a logical functional division. In actual implementation, there may be other division methods.

[0389] for example, Figure 12 This is a schematic diagram of a communication device provided in an embodiment of this application. Taking the communication device as the first node in the above-described method embodiment 900 (which may be a chip, chip system, processor, circuit, module, or internal device of the first node), the first node includes a transceiver module 1210 and a processing module 1220. The transceiver module 1210, also known as a transceiver module, is used to implement transceiver functions, and may be, for example, a transceiver circuit, transceiver, transceiver device, or communication interface.

[0390] In this embodiment of the application, the transceiver module 1210 is used to receive a third request from the RIC.

[0391] In this embodiment of the application, the third request is used by the request processing module 1220 to determine the first region.

[0392] In this embodiment of the application, the processing module 1220 is used to determine the first region according to the third request.

[0393] In this embodiment of the application, the transceiver module 1210 is also used to send a first request to the second CU.

[0394] In this embodiment of the application, the first request is used to request the acquisition of AI data in a first area. The first area belongs to a cell under a second node, the second CU belongs to a CU of the second node, and the first CU belongs to the first node. The AI ​​data in the first area includes AI data collected by the second CU.

[0395] In this embodiment of the application, the transceiver module 1210 is also used to send a first report to the RIC.

[0396] In one possible implementation, the transceiver module 1210 is also used to receive the first report.

[0397] In this embodiment of the application, the first report indicates AI data in the first region.

[0398] In one possible implementation, the transceiver module 1210 is also used to receive a second request from the first DU.

[0399] In this embodiment of the application, the second request is used to request the first CU to determine the first region.

[0400] In this embodiment of the application, the processing module 1220 is further configured to determine the first region based on the second request.

[0401] In one possible implementation, the transceiver module 1210 is also used to receive the first report.

[0402] In this embodiment of the application, the first report indicates AI data in the first region.

[0403] In one possible implementation, the first request includes at least one of the following: first indication information, which is used to indicate the second node; second indication information, which is used to indicate the range of the first area; or, third indication information, which is used to indicate the time information of the AI ​​data.

[0404] In one possible implementation, the first indication information includes at least one of the following: the identifier of the second node, the identifier of the cell under the second node, or the identifier of the synchronization signal or physical broadcast channel block (SSB) corresponding to the second node.

[0405] In one possible implementation, the second indication information includes at least one of the following: indication information indicating the first area, handover parameters related to the first area, path loss parameters related to the first area, indication information of the SSB or cell related to the first area, slice information corresponding to the first area, or parameters of the reporting features corresponding to the AI ​​data of the first area.

[0406] In one possible implementation, the handover parameters related to the first area are cell-level handover parameters.

[0407] In one possible implementation, the road loss parameters related to the first region are the road loss parameters of at least one terminal device within the first region.

[0408] In one possible implementation, the indication information of the SSB or cell associated with the first area is used to indicate the area range where at least one terminal device is located near the SSB or cell.

[0409] In one possible implementation, the third instruction information includes at least one of the following: the AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time.

[0410] In one possible implementation, the first request further includes: reporting features corresponding to the AI ​​data of the first area; the reporting features include at least one of the following: AI data corresponding to each terminal device in at least one terminal device in the first area, AI data of the average value of AI data of at least one terminal device in the first area, or, cell-level AI data corresponding to the first area.

[0411] In one possible implementation, the AI ​​data corresponding to each terminal device in at least one terminal device in the first area includes at least one of the following: the current and / or predicted measurement results of each terminal device, the current and / or predicted movement trajectory of each terminal device, or the current and / or predicted self-organizing network (SON) report of each terminal device.

[0412] AI data for the average value of at least one terminal device in the first area includes at least one of the following: current, and / or predicted average access success rate, current, and / or predicted average access latency, current, and / or predicted average call drop rate, or current, and / or predicted average measurement result.

[0413] The cell-level AI data corresponding to the first area includes at least one of the following: current and / or predicted radio resource configuration information, current and / or predicted number of handover failures, or current and / or predicted mobility failure information.

[0414] In one possible implementation, the first region is the region to which the cell edge of the second node belongs.

[0415] In one possible implementation, the AI ​​data collected by the second node includes at least one of the following: the current AI data of the second node, the AI ​​data measured by the second node, or the AI ​​data predicted by the second node.

[0416] Alternatively, taking the communication device as the second node in the above method embodiment (which may be a chip of the second node, a module of the second node, or an internal device of the second node) as an example, the second node includes a transceiver module 1210 and a processing module 1220. The transceiver module 1210, also known as a transceiver module, is used to implement the transceiver function, and may be, for example, a transceiver circuit, a transceiver, a transceiver device, or a communication interface.

[0417] In this embodiment of the application, the transceiver module 1210 is used to receive a first request from the first CU. The first request is used to request the acquisition of artificial intelligence (AI) data of a first area, which belongs to a cell under the second node.

[0418] In this embodiment of the application, the second CU belongs to the second node.

[0419] In this embodiment of the application, the transceiver module 1210 is further configured to send a first report to the first CU in response to the first request.

[0420] In this embodiment of the application, the first report indicates AI data in a first region; wherein, the AI ​​data in the first region includes AI data collected by the second CU.

[0421] In one possible implementation, the processing module 1220 is further configured to determine a first list of at least one terminal device within the first area.

[0422] In this embodiment of the application, the transceiver module 1210 is further configured to send at least one of the following to the second DU: a first list, a first request, or a reporting feature corresponding to the AI ​​data of the first region.

[0423] Among them, the second DU belongs to the second node, and the first request includes reporting features, which include AI data of each terminal device in at least one terminal device in the first area, AI data of the average value of at least one terminal device in the first area, and cell-level AI data corresponding to the first area.

[0424] In one possible implementation, the first request includes at least one of the following: first indication information, which is used to indicate the second node; second indication information, which is used to indicate the range of the first area; or, third indication information, which is used to indicate the time information of the AI ​​data.

[0425] In one possible implementation, the first indication information includes at least one of the following: the identifier of the second node, the identifier of the cell under the second node, or the identifier of the synchronization signal or physical broadcast channel block (SSB) corresponding to the second node.

[0426] In one possible implementation, the second indication information includes at least one of the following: indication information indicating the first area, handover parameters related to the first area, path loss parameters related to the first area, indication information of the SSB or cell related to the first area, slice information corresponding to the first area, or parameters of the reporting features corresponding to the AI ​​data of the first area.

[0427] In one possible implementation, the handover parameters related to the first area are cell-level handover parameters.

[0428] In one possible implementation, the road loss parameters related to the first region are the road loss parameters of at least one terminal device within the first region.

[0429] In one possible implementation, the indication information of the SSB or cell associated with the first area is used to indicate the area range where at least one terminal device is located near the SSB or cell.

[0430] In one possible implementation, the third instruction information includes at least one of the following: the AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time.

[0431] In one possible implementation, the first request further includes: reporting features corresponding to the AI ​​data of the first area; the reporting features include at least one of the following: AI data corresponding to each terminal device in at least one terminal device in the first area, AI data of the average value of at least one terminal device in the first area, or, cell-level AI data corresponding to the first area.

[0432] In one possible implementation, the AI ​​data corresponding to each terminal device in at least one terminal device in the first area includes at least one of the following: the current and / or predicted measurement results of each terminal device, the current and / or predicted movement trajectory of each terminal device, or the current and / or predicted self-organizing network (SON) report of each terminal device.

[0433] AI data for the average value of at least one terminal device in the first area includes at least one of the following: current, and / or predicted average access success rate, current, and / or predicted average access latency, current, and / or predicted average call drop rate, or current, and / or predicted average measurement result.

[0434] The cell-level AI data corresponding to the first area includes at least one of the following: current and / or predicted radio resource configuration information, current and / or predicted number of handover failures, or current and / or predicted mobility failure information.

[0435] In one possible implementation, the first region is the region to which the cell edge of the second node belongs.

[0436] In one possible implementation, the AI ​​data collected by the second node includes at least one of the following: the current AI data of the second node, the AI ​​data measured by the second node, or the AI ​​data predicted by the second node.

[0437] All relevant content of each step involved in the above method embodiments can be referred to in the functional description of the corresponding functional module, and will not be repeated here. Optionally, the communication device may further include a storage module 1230, which can be used to store instructions and / or data, and the processing module 1220 can read the instructions and / or data in the storage module 1230.

[0438] In this embodiment, the communication device can be presented in an integrated manner, divided into various functional modules. Here, "module" can refer to application-specific integrated circuits (ASICs), circuits, processors and memory executing one or more software or firmware programs, integrated logic circuits, and / or other devices that can provide the aforementioned functions. In a simple embodiment, those skilled in the art will understand that the communication device can adopt... Figure 6 The communication device 600 shown is in the form of this device.

[0439] for example, Figure 6 The processor 611 in the communication device 600 shown can execute the communication method in the above method embodiment by calling the computer execution instructions stored in the memory 612.

[0440] Specifically, Figure 12 The functions / implementation process of the transceiver module 1210 and the processing module 1220 can be obtained through... Figure 6The processor 611 in the communication device 600 shown calls computer execution instructions stored in the memory 612 to implement the function. Alternatively, Figure 12 The function / implementation process of the processing module 1220 can be achieved through... Figure 6 The processor 611 in the communication device 600 shown calls computer execution instructions stored in the memory 612 to implement the function.

[0441] Since the communication device provided in this application embodiment (which may be a chip of the communication device, a module of the communication device, or a device inside the communication device) can execute the above communication method, the technical effects it can obtain can be referred to the above method embodiment, and will not be repeated here.

[0442] It should be understood that one or more of the above modules or units can be implemented by software, hardware, or a combination of both. When any of the above modules or units are implemented by software, the software exists as computer program instructions and is stored in memory. The processor can be used to execute the program instructions and implement the above method flow. The processor can be built into a SoC (System-on-a-Chip) or ASIC, or it can be a separate semiconductor chip. In addition to the core that executes software instructions for computation or processing, the processor may further include necessary hardware accelerators, such as field-programmable gate arrays (FPGAs), PLDs (Programmable Logic Devices), or logic circuits that implement dedicated logic operations.

[0443] When the above modules or units are implemented in hardware, the hardware can be any one or any combination of a CPU, microprocessor, digital signal processing (DSP) chip, microcontroller unit (MCU), artificial intelligence processor, ASIC, SoC, FPGA, PLD, application-specific digital circuit, hardware accelerator, or non-integrated discrete device, which can run the necessary software or perform the above method flow independently of software.

[0444] Optionally, embodiments of this application also provide a communication device (e.g., the communication device may be a chip or a chip system), which includes a processor for implementing the methods in any of the above method embodiments. In one possible design, the communication device further includes a memory. The memory is used to store necessary program instructions and data, and the processor can call the program code stored in the memory to instruct the communication device to execute the methods in any of the above method embodiments. Of course, the memory may not be included in the communication device. When the communication device is a chip system, it may be composed of chips or may include chips and other discrete devices; embodiments of this application do not specifically limit this.

[0445] Optionally, embodiments of this application also provide a computer-readable storage medium storing a computer program or instructions that, when run on a communication device, enable the communication device to execute the methods described in any of the above method embodiments or any implementation thereof.

[0446] Optionally, embodiments of this application also provide a communication system, which includes the first CU and the second CU described in the above method embodiments.

[0447] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented using software programs, implementation can be, in whole or in part, in the form of a computer program product. This computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device containing one or more servers, data centers, etc., that can be integrated with the medium. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state disks, SSDs).

[0448] Although this application has been described herein in conjunction with various embodiments, those skilled in the art, by reviewing the accompanying drawings, the disclosure, and the appended claims, will understand and implement other variations of the disclosed embodiments in carrying out the claimed application. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude multiple instances. A single processor or other unit can implement several functions listed in the claims. While different dependent claims may recite certain measures, this does not mean that these measures cannot be combined to produce good results.

[0449] Although this application has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made thereto without departing from the scope of this application. Accordingly, this specification and drawings are merely illustrative descriptions of the application as defined by the appended claims, and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Thus, if such modifications and modifications fall within the scope of the claims and their equivalents, this application is also intended to include such modifications and modifications.

Claims

1. A communication method, characterized in that, include: Send a first request, which is used to request the acquisition of artificial intelligence (AI) data for a first area, the first area being a cell under the second node, wherein the AI ​​data for the first area includes AI data collected by the second node.

2. The method according to claim 1, characterized in that, The method further includes: Receive a first report, which indicates the AI ​​data for the first area.

3. The method according to claim 1 or 2, characterized in that, The first request includes at least one of the following: First indication information, the first indication information is used to indicate the second node; The second indication information is used to indicate the extent of the first area; Alternatively, a third indication information, which is used to indicate the time information of the AI ​​data.

4. The method according to claim 3, characterized in that, The first indication information includes at least one of the following: The identifier of the second node, the identifier of the cell under the second node, or the identifier of the synchronization signal or physical broadcast channel block (SSB) corresponding to the second node.

5. The method according to claim 3 or 4, characterized in that, The second instruction information includes at least one of the following: Indication information for the first region, handover parameters related to the first region, path loss parameters related to the first region, indication information for the SSB or cell related to the first region, slice information corresponding to the first region, or parameters of the reported features corresponding to the AI ​​data of the first region.

6. The method according to claim 5, characterized in that, The handover parameters related to the first area are cell-level handover parameters.

7. The method according to claim 5, characterized in that, The road loss parameters related to the first area are the road loss parameters of at least one terminal device within the first area.

8. The method according to claim 5, characterized in that, The indication information of the SSB or cell associated with the first area is used to indicate the area range where at least one terminal device is located near the SSB or cell.

9. The method according to any one of claims 3 to 8, characterized in that, The third instruction information includes at least one of the following: The AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time.

10. The method according to any one of claims 2 to 9, characterized in that, The first request also includes: the reported features corresponding to the AI ​​data in the first region; The reporting features include at least one of the following: AI data corresponding to each terminal device in at least one terminal device in the first area, AI data of the average value of AI data of at least one terminal device in the first area, or, cell-level AI data corresponding to the first area.

11. The method according to claim 10, characterized in that, The AI ​​data corresponding to each terminal device in at least one terminal device within the first area includes at least one of the following: The measurement results of each terminal device, the movement trajectory of each terminal device, or the self-organizing network (SON) report of each terminal device; The average AI data of at least one terminal device in the first area includes at least one of the following: average access success rate, average access latency, average call drop rate, or average measurement result; The cell-level AI data corresponding to the first area includes at least one of the following: wireless resource configuration, or, handover parameter self-optimization failure indication.

12. The method according to any one of claims 1 to 11, characterized in that, The first region is the region to which the cell edge of the second node belongs.

13. The method according to any one of claims 1 to 12, characterized in that, The AI ​​data collected by the second node includes at least one of the following: the current AI data of the second node, the AI ​​data measured by the second node, or the AI ​​data predicted by the second node.

14. A communication method, characterized in that, include: Receive a first request, the first request being used to request the acquisition of artificial intelligence (AI) data for a first region, the first region being a cell under the second node, wherein the AI ​​data for the first region includes AI data collected by the second node; In response to the first request, a first report is sent, which indicates the AI ​​data for the first region.

15. The method according to claim 14, characterized in that, The first request includes at least one of the following: First indication information, the first indication information is used to indicate the second node; The second indication information is used to indicate the extent of the first area; Alternatively, a third indication information, which is used to indicate the time information of the AI ​​data.

16. The method according to claim 15, characterized in that, The first indication information includes at least one of the following: The identifier of the second node, the identifier of the cell under the second node, or the identifier of the synchronization signal or physical broadcast channel block (SSB) corresponding to the second node.

17. The method according to claim 15 or 16, characterized in that, The second instruction information includes at least one of the following: Indication information for the first region, handover parameters related to the first region, path loss parameters related to the first region, indication information for the SSB or cell related to the first region, slice information corresponding to the first region, or parameters of the reported features corresponding to the AI ​​data of the first region.

18. The method according to claim 17, characterized in that, The handover parameters related to the first area are cell-level handover parameters.

19. The method according to claim 17, characterized in that, The road loss parameters related to the first area are the road loss parameters of at least one terminal device within the first area.

20. The method according to claim 17, characterized in that, The indication information of the SSB or cell associated with the first area is used to indicate the area range where at least one terminal device is located near the SSB or cell.

21. The method according to any one of claims 15 to 20, characterized in that, The third instruction information includes at least one of the following: The AI ​​data request prediction time, the AI ​​data request reporting time, or the AI ​​data request collection time.

22. The method according to any one of claims 15 to 21, characterized in that, The first request also includes: the reported features corresponding to the AI ​​data in the first region; The reporting features include at least one of the following: AI data corresponding to each terminal device in at least one terminal device in the first area, AI data of the average value of at least one terminal device in the first area, or cell-level AI data corresponding to the first area.

23. The method according to claim 22, characterized in that, The AI ​​data corresponding to each terminal device in at least one terminal device in the first area includes at least one of the following: the measurement result of each terminal device, the movement trajectory of each terminal device, or the self-organizing network (SON) report of each terminal device; The average AI data of at least one terminal device in the first area includes at least one of the following: average access success rate, average access latency, average call drop rate, or average measurement result; The cell-level AI data corresponding to the first area includes at least one of the following: wireless resource configuration, or, handover parameter self-optimization failure indication.

24. The method according to any one of claims 14 to 23, characterized in that, The first region is the region to which the cell edge of the second node belongs.

25. The method according to any one of claims 14 to 24, characterized in that, The AI ​​data collected by the second node includes at least one of the following: the current AI data of the second node, the AI ​​data measured by the second node, or the AI ​​data predicted by the second node.

26. A communication device, characterized in that, The communication device includes a module for performing the method according to any one of claims 1 to 13, or includes a module for performing the method according to any one of claims 14 to 25.

27. A communication device, characterized in that, The communication device includes a processor; the processor is configured to perform the method according to any one of claims 1 to 13, or to cause the communication device to perform the method according to any one of claims 14 to 25.

28. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes instructions that, when executed, cause the method according to any one of claims 1 to 13 to be implemented, or cause the method according to any one of claims 14 to 25 to be implemented.

29. A computer program product, characterized in that, The computer program product includes instructions that, when executed, cause the method according to any one of claims 1 to 13 to be implemented, or cause the method according to any one of claims 14 to 25 to be implemented.

30. A communication system, characterized in that, The communication system includes the communication device as described in claims 26 and 27.

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