Communication method and related device

Abstract

A communication method and a related device, in which a communication device can obtain one or more different radio information through at least two radio map sub-models included in the same radio map model, compared with a mode in which one radio map model can only provide one output, the radio map model can provide one output. The use flexibility of the radio map model can be improved. Besides, different radio map sub-models in the N radio map sub-models contained in the radio map model are used for outputting different radio information, and at least two radio map sub-models in the N radio map sub-models have an incidence relation. By means of the mode, the radio map model can provide various different outputs, and meanwhile the complexity of the radio map model can be reduced through the relevance between the different radio map sub-models.

Description

Technical Field

[0001] The present application relates to the field of communications, and in particular to a communication method and related devices. Background Art

[0002] In wireless communication systems, radio frequency map (RF map) models can be widely used in various communication tasks, including but not limited to network planning, interference control, path loss prediction, signal strength prediction, power control, resource allocation, handover management, multi-hop routing, or dynamic spectrum access.

[0003] Generally, a radio map module can obtain radio information based on input information. For example, using a radio map model applied to path loss prediction as an example, the input of the radio map model may include the location information of a user at a certain location, and the radio information output by the radio map model may be the path loss of the user at that location. For another example, using a radio map model applied to signal strength prediction as an example, the input of the radio map model may include the environmental information of a user in a certain communication environment, and the radio information output by the radio map model may include the radio signal strength of the user in that communication environment.

[0004] However, how to reduce the complexity of the radio map model is a technical problem that needs to be solved urgently. Summary of the Invention

[0005] The present application provides a communication method and related apparatus for improving the flexibility of using a radio map model and reducing the complexity of the radio map model.

[0006] In a first aspect, the present application provides a communication method, which is performed by a first communication device, which may be a communication device (such as a terminal device or a network device), or the first communication device may be a partial component in the communication device (such as a processor, a chip or a chip system, etc.), or the first communication device may also be a logic module or software that can implement all or part of the functions of the communication device. In this method, the first communication device sends first information, which is used to indicate M radio map sub-models, and the M radio map sub-models are included in N radio map sub-models of the radio map model, N is an integer greater than 1, and M is a positive integer less than or equal to N; wherein different radio map sub-models in the N radio map sub-models are used to output different radio information; at least two radio map sub-models in the N radio map sub-models are associated; and the first communication device receives second information, which is used to determine the radio information output by the M radio map sub-models.

[0007] Based on the above solution, the second information received by the first communication device can be used to determine the radio information output by M radio map sub-models, where the M radio map sub-models are included in N radio map sub-models of the radio map model, where N is an integer greater than 1 and M is a positive integer less than or equal to N. In other words, the second information received by the first communication device can be used to determine the radio information output by some or all of the sub-models included in the radio map model, and different sub-models can be used to output different radio information. In this way, the communication device can obtain one or more different radio information through at least two radio map sub-models included in the same radio map model. Compared to a radio map model that can only provide one output method, the flexibility of using the radio map model can be improved.

[0008] Furthermore, different radio map sub-models among the N radio map sub-models included in the radio map model are used to output different radio information, and at least two of the N radio map sub-models are associated with each other. This allows the radio map model to provide multiple different outputs while also reducing its complexity by leveraging the associations between different radio map sub-models.

[0009] In this application, a radio map model (or sub-model) may be a mathematical model, an artificial intelligence (AI) model, a neural network, a neural network model, an AI neural network model, a machine learning model, an AI processing model, etc. Accordingly, the radio map model and the radio map sub-model may be replaced by other terms, such as a radio map neural network and a radio map sub-neural network, a radio map AI model and a radio map sub-AI model, a radio map model and a radio map layer model (i.e., a radio map includes N radio map layers), etc.

[0010] Optionally, in the radio map model, at least two of the N radio map sub-models are associated with each other, including: among the N radio map sub-models, the input of at least one radio map sub-model includes the output features of the intermediate layer of one or more other radio map sub-models, and / or the output of one or more other radio map sub-models.

[0011] And / or, in the radio map model, at least two of the N radio map sub-models are associated, including: among the N radio map sub-models, the input features of the intermediate layer of at least one radio map sub-model include the output features of the intermediate layer of one or more other radio map sub-models, and / or, the output of one or more other radio map sub-models.

[0012] Optionally, the association relationship can be replaced by other terms, such as mapping relationship, dependency relationship, etc.

[0013] It should be noted that, in the radio map model, different radio map sub-models among the N radio map sub-models are used to output different radio information, wherein the different radio information may be implemented in multiple ways.

[0014] For example, the different radio information may be different types of radio information. For example, the different radio information may include at least two of path loss information, signal strength information, interference information, and power information.

[0015] For another example, different radio information may be radio information of the same type but with different data characteristics. For example, take the same type of radio information as signal strength information as an example. For example, different radio information may include signal strength information on a first scale and signal strength information on a second scale, where the first scale is different from the second scale (for example, the first scale corresponds to the signal strength on a radio map of A meters * A meters, and the second scale corresponds to the signal strength on a radio map of B meters * B meters, where A and B are both positive numbers and A is not equal to B). For another example, different radio information may include signal strength information of a first precision and signal strength information of a second precision, where the first precision is different from the second precision (for example, the first precision corresponds to the signal strength represented by floating-point data, and the second precision corresponds to the signal strength represented by integer data).

[0016] In a possible implementation manner of the first aspect, the second information includes radio information output by the M radio map sub-models.

[0017] Based on the above solution, the second information received by the first communication device includes the radio information output by the M radio map sub-models, that is, the first communication device can obtain the radio information output by the M radio map sub-models through the second information, thereby reducing implementation complexity.

[0018] In a possible implementation manner of the first aspect, before the first communication device receives the second information, the method further includes: the first communication device sending input data of at least one radio map sub-model among the M radio map sub-models.

[0019] Based on the above solution, the first communication device may further transmit input data of at least one radio map sub-model, so that a receiver of the input data can determine the radio information output by the M radio map sub-models based on the input data.

[0020] In a possible implementation manner of the first aspect, the second information includes model information of the M radio map sub-models.

[0021] Based on the above scheme, the second information received by the first communication device may include model information of the M radio map sub-models. In this way, the first communication device can obtain the radio information output by the M radio map sub-models based on the model information, which can reduce the implementation complexity of the provider of the second information.

[0022] In a possible implementation of the first aspect, after the first communication device receives the second information, the method further includes: the first communication device determines the radio information output by the M radio map sub-models based on the model information of the M radio map sub-models and the input data of the M radio map sub-models.

[0023] Based on the above scheme, when the second information received by the first communication device includes the model information of the M radio map sub-models, the first communication device can also locally generate, construct or obtain the M radio map sub-models based on the model information of the M radio map sub-models, and process the input data based on the M radio map sub-models to obtain the radio information output by the M radio map sub-models.

[0024] In a possible implementation manner of the first aspect, the first information includes one or more of indexes of the M radio map sub-models, model description information of the M radio map sub-models, and task information applied by the M radio map sub-models.

[0025] Based on the above solution, the first information sent by the first communication device may indicate M radio map sub-models in a variety of ways to enhance the flexibility of solution implementation.

[0026] Optionally, the first information is determined based on model information of the N radio map sub-models; wherein, among the model information of the N radio map sub-models, the model information of any radio map sub-model includes at least one of the following:

[0027] an index of the any radio map sub-model;

[0028] Descriptive information of the input of any radio map sub-model (e.g., one or more of the type, dimension, size, precision, format, and pre-processing method of the input data);

[0029] Descriptive information of the output of any radio map sub-model (e.g., one or more of the type, dimension, size, accuracy, format, and pre-processing method of the output data);

[0030] The association relationship between any radio map sub-model and other radio map sub-models;

[0031] Model description information of any radio map sub-model;

[0032] The mission information to which the output of any radio map sub-model is applied.

[0033] In a possible implementation of the first aspect, the method further includes: the first communication device sends third information, the third information being used to indicate K radio map sub-models, the K radio map sub-models being included in the N radio map sub-models, and K being a positive integer less than N; the first communication device receives fourth information, the fourth information including model information of the K radio map sub-models; and the first communication device determines the radio information output by the K radio map sub-models based on the model information of the K radio map sub-models and the input data of the K radio map sub-models.

[0034] Based on the above solution, the first communications device can also obtain model information for K radio map sub-models through the interaction of the third information and the fourth information, and determine the radio information output by the K radio map sub-models based on the model information of the K radio map sub-models and the input data of the K radio map sub-models. In this way, the first communications device can locally generate, construct, or obtain the radio map sub-model using the received model information of the radio map sub-model, and perform processing based on the radio map sub-model to obtain the corresponding radio information.

[0035] Optionally, the M radio map sub-models are different from the K radio map sub-models. For example, the M radio map sub-models are not identical to the K radio map sub-models. For another example, any sub-model of the M radio map sub-models is different from any sub-model of the K radio map sub-models. For another example, at least one sub-model of the M radio map sub-models is different from any sub-model of the K radio map sub-models.

[0036] In a possible implementation of the first aspect, the method further includes: the first communication device receives fifth information, the fifth information being used to indicate P radio map sub-models, the P radio map sub-models being included in the N radio map sub-models, and P being a positive integer less than N; the first communication device sends sixth information, the sixth information including model information of the P radio map sub-models; wherein the model information of the P radio map sub-models is used to determine the radio information output by the P radio map sub-models.

[0037] Based on the above solution, the first communication device can also interact with the fifth information and the sixth information to enable the recipient of the sixth information to obtain model information of the P radio map sub-models and determine the radio information output by the K radio map sub-models based on the model information of the P radio map sub-models. In this way, the recipient of the sixth information can locally generate, construct, or obtain the radio map sub-model based on the received model information of the radio map sub-model and perform processing based on the radio map sub-model to obtain the corresponding radio information.

[0038] Optionally, the M radio map sub-models are different from the P radio map sub-models. For example, the M radio map sub-models are not identical to the P radio map sub-models. For another example, any sub-model of the M radio map sub-models is different from any sub-model of the P radio map sub-models. For another example, at least one sub-model of the M radio map sub-models is different from any sub-model of the P radio map sub-models.

[0039] The second aspect of the present application provides a communication method, which is performed by a second communication device, which can be a communication device (such as a terminal device or a network device), or the second communication device can be a partial component in the communication device (such as a processor, a chip or a chip system, etc.), or the second communication device can also be a logic module or software that can realize all or part of the functions of the communication device. In this method, the second communication device receives first information, and the first information is used to indicate M radio map sub-models, and the M radio map sub-models are included in N radio map sub-models of the radio map model, N is an integer greater than 1, and M is a positive integer less than or equal to N; wherein different radio map sub-models in the N radio map sub-models are used to output different radio information; at least two radio map sub-models in the N radio map sub-models are associated; the second communication device sends second information, and the second information is used to determine the radio information output by the M radio map sub-models.

[0040] Based on the above solution, the second information sent by the second communication device can be used to determine the radio information output by M radio map sub-models, where the M radio map sub-models are included in N radio map sub-models of the radio map model, where N is an integer greater than 1 and M is a positive integer less than or equal to N. In other words, the second information sent by the second communication device can be used to determine the radio information output by some or all of the sub-models included in the radio map model, and different sub-models can be used to output different radio information. In this way, a communication device can obtain one or more different radio information through at least two radio map sub-models included in the same radio map model. Compared to a radio map model that can only provide one output method, the flexibility of using the radio map model can be improved.

[0041] Furthermore, different radio map sub-models among the N radio map sub-models included in the radio map model are used to output different radio information, and at least two of the N radio map sub-models are associated with each other. This allows the radio map model to provide multiple different outputs while also reducing its complexity by leveraging the associations between different radio map sub-models.

[0042] In a possible implementation manner of the second aspect, the second information includes radio information output by the M radio map sub-models.

[0043] Based on the above solution, the second information sent by the second communication device to the first communication device includes the radio information output by the M radio map sub-models, that is, the first communication device can obtain the radio information output by the M radio map sub-models through the second information, thereby reducing implementation complexity.

[0044] In a possible implementation manner of the second aspect, before the second communication device sends the second information, the method further includes: receiving, by the second communication device, input data of at least one radio map sub-model among the M radio map sub-models.

[0045] Based on the above solution, the second communication device may further receive input data of at least one radio map sub-model, so that the second communication device can determine the radio information output by the M radio map sub-models based on the input data.

[0046] In a possible implementation manner of the second aspect, the second information includes model information of the M radio map sub-models.

[0047] Based on the above scheme, the second information sent by the second communication device may include model information of the M radio map sub-models. In this way, the recipient of the second information (such as the first communication device) can obtain the radio information output by the M radio map sub-models based on the model information, thereby reducing the implementation complexity of the second communication device.

[0048] In a possible implementation manner of the second aspect, the model information of the M radio map sub-models and the input data of the M radio map sub-models are used to determine the radio information output by the M radio map sub-models.

[0049] Based on the above scheme, when the second information sent by the second communication device includes the model information of the M radio map sub-models, the recipient of the second information can also locally generate, construct or obtain the M radio map sub-models based on the model information of the M radio map sub-models, and process the input data based on the M radio map sub-models to obtain the radio information output by the M radio map sub-models.

[0050] In a possible implementation manner of the second aspect, the first information includes one or more of indexes of the M radio map sub-models, model description information of the M radio map sub-models, and task information applied by the M radio map sub-models.

[0051] Based on the above solution, the first information sent by the first communication device may indicate M radio map sub-models in a variety of ways to enhance the flexibility of solution implementation.

[0052] Optionally, the first information is determined based on model information of the N radio map sub-models; wherein, among the model information of the N radio map sub-models, the model information of any radio map sub-model includes at least one of the following:

[0053] an index of the any radio map sub-model;

[0054] Descriptive information of the input of any radio map sub-model;

[0055] Descriptive information of the output of any radio map sub-model;

[0056] The association relationship between any radio map sub-model and other radio map sub-models;

[0057] Model description information of any radio map sub-model;

[0058] The mission information to which the output of any radio map sub-model is applied.

[0059] In a possible implementation of the second aspect, the method further includes: the second communication device receives third information, the third information being used to indicate K radio map sub-models, the K radio map sub-models being included in the N radio map sub-models, and K being a positive integer less than N; the second communication device sends fourth information, the fourth information including model information of the K radio map sub-models; wherein the model information of the K radio map sub-models and the input data of the K radio map sub-models are used to determine the radio information output by the K radio map sub-models.

[0060] Based on the above solution, the second communication device can also transmit model information of K radio map sub-models through the interaction of the third information and the fourth information, so that the recipient of the fourth information can determine the radio information output by the K radio map sub-models based on the model information of the K radio map sub-models and the input data of the K radio map sub-models. In this way, the recipient of the fourth information (e.g., the first communication device) can locally generate, construct, or obtain the radio map sub-model using the received model information of the radio map sub-model, and perform processing based on the radio map sub-model to obtain the corresponding radio information.

[0061] In a possible implementation of the second aspect, the method further includes: the second communication device sends fifth information, the fifth information being used to indicate P radio map sub-models, the P radio map sub-models being included in the N radio map sub-models, and P being a positive integer less than N; the second communication device receives sixth information, the sixth information including model information of the P radio map sub-models; wherein the model information of the P radio map sub-models is used to determine the radio information output by the P radio map sub-models.

[0062] Based on the above solution, the second communication device can also obtain model information of the P radio map sub-models through the interaction of the fifth information and the sixth information, and determine the radio information output by the K radio map sub-models based on the model information of the P radio map sub-models. In this way, the second communication device can locally generate, construct, or obtain the radio map sub-model using the received model information of the radio map sub-model, and perform processing based on the radio map sub-model to obtain the corresponding radio information.

[0063] A third aspect of the present application provides a communication device, which is a first communication device and includes a transceiver unit and a processing unit; the processing unit is used to determine first information, and the transceiver unit is used to send first information, and the first information is used to indicate M radio map sub-models, and the M radio map sub-models are included in N radio map sub-models of the radio map model, N is an integer greater than 1, and M is a positive integer less than or equal to N; wherein different radio map sub-models in the N radio map sub-models are used to output different radio information; at least two radio map sub-models in the N radio map sub-models are associated with each other; the transceiver unit is also used to receive second information, and the second information is used to determine the radio information output by the M radio map sub-models.

[0064] In the third aspect of the present application, the constituent modules of the communication device can also be used to execute the steps performed in each possible implementation method of the first aspect and achieve corresponding technical effects. For details, please refer to the first aspect and will not be repeated here.

[0065] A fourth aspect of the present application provides a communication device, which is a second communication device, and includes a transceiver unit and a processing unit. The transceiver unit is used to receive first information, and the first information is used to indicate M radio map sub-models, and the M radio map sub-models are included in N radio map sub-models of the radio map model, N is an integer greater than 1, and M is a positive integer less than or equal to N; wherein different radio map sub-models in the N radio map sub-models are used to output different radio information; at least two radio map sub-models in the N radio map sub-models are associated with each other; the processing unit is used to determine second information; and the transceiver unit is also used to send second information, and the second information is used to determine the radio information output by the M radio map sub-models.

[0066] In the fourth aspect of the present application, the constituent modules of the communication device can also be used to execute the steps performed in each possible implementation method of the second aspect and achieve corresponding technical effects. For details, please refer to the second aspect and will not be repeated here.

[0067] In a fifth aspect, the present application provides a communication device, comprising at least one processor coupled to a memory; the memory is configured to store programs or instructions; the at least one processor is configured to execute the programs or instructions, so that the device implements the method described in any possible implementation of any one of the first to second aspects. Optionally, the communication device may include the memory.

[0068] In a sixth aspect, the present application provides a communication device comprising at least one logic circuit and an input / output interface; the logic circuit is used to execute the method described in any possible implementation of any one of the first to second aspects.

[0069] In a seventh aspect, the present application provides a communication system, which includes the above-mentioned first communication device and second communication device.

[0070] In an eighth aspect, the present application provides a computer-readable storage medium for storing one or more computer-executable instructions. When the computer-executable instructions are executed by a processor, the processor executes the method described in any possible implementation of any one of the first to second aspects above.

[0071] In a ninth aspect, the present application provides a computer program product (or computer program). When the computer program in the computer program product is executed by the processor, the processor executes the method described in any possible implementation of any one of the first to second aspects above.

[0072] In a tenth aspect, the present application provides a chip or chip system, the chip or chip system including at least one processor, configured to support a communication device in implementing the method described in any possible implementation of any one of the first to second aspects. For example, the chip may be a baseband chip, a modem chip, a system-on-chip (SoC) chip including a modem core, a system-in-package (SIP) chip, or a communication module.

[0073] In one possible design, the chip or chip system may further include a memory for storing program instructions and data necessary for the communication device. The chip system may be composed of a chip or may include a chip and other discrete components. Optionally, the chip system also includes an interface circuit that provides program instructions and / or data to the at least one processor.

[0074] Among them, the technical effects brought about by any design method in the third to tenth aspects can refer to the technical effects brought about by the different design methods in the above-mentioned first to second aspects, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Figures 1a to 1c A schematic diagram of the communication system provided for this application;

[0076] Figure 1d 、 Figure 1e as well as Figures 2a to 2eA schematic diagram of the AI ​​processing process involved in this application;

[0077] Figure 2f A schematic diagram of a radio map model involved in this application;

[0078] Figure 3 An interactive schematic diagram of the communication method provided by this application;

[0079] Figure 4 A schematic diagram of the radio map model provided for this application;

[0080] Figures 5 and 6 An interactive diagram of the communication method provided in this application;

[0081] Figures 7 to 11 A schematic diagram of a communication device provided in this application. DETAILED DESCRIPTION

[0082] First, some of the terms used in the embodiments of the present application are explained to facilitate understanding by those skilled in the art.

[0083] (1) Terminal device: It can be a wireless terminal device that can receive network device scheduling and instruction information. The wireless terminal device can be a device that provides voice and / or data connectivity to the user, or a handheld device with wireless connection function, or other processing device connected to a wireless modem.

[0084] Terminal devices can communicate with one or more core networks or the Internet via a radio access network (RAN). Terminal devices can be mobile terminal devices, such as mobile phones (also known as "cellular" phones, mobile phones), computers, and data cards. For example, they can be portable, pocket-sized, handheld, computer-built-in, or vehicle-mounted mobile devices that exchange voice and / or data with the radio access network. Examples include personal communication service (PCS) phones, cordless phones, Session Initiation Protocol (SIP) phones, wireless local loop (WLL) stations, personal digital assistants (PDAs), tablet computers, and computers with wireless transceiver capabilities. Wireless terminal equipment can also be called system, subscriber unit, subscriber station, mobile station, mobile station (MS), remote station, access point (AP), remote terminal equipment (remote terminal), access terminal equipment (access terminal), user terminal equipment (user terminal), user agent, subscriber station (SS), customer premises equipment (CPE), terminal, user equipment (UE), mobile terminal (MT), etc.

[0085] As an example and not a limitation, in the embodiments of the present application, the terminal device may also be a wearable device. Wearable devices may also be referred to as wearable smart devices or smart wearable devices, etc., which are a general term for wearable devices that are intelligently designed and developed using wearable technology for daily wear, such as glasses, gloves, watches, clothing, and shoes. A wearable device is a portable device that is worn directly on the body or integrated into the user's clothes or accessories. Wearable devices are not only hardware devices, but also achieve powerful functions through software support, data interaction, and cloud interaction. Broadly speaking, wearable smart devices include those that are fully functional, large in size, and can achieve complete or partial functions without relying on smartphones, such as smart watches or smart glasses, etc., as well as those that only focus on a certain type of application function and need to be used in conjunction with other devices such as smartphones, such as various smart bracelets, smart helmets, and smart jewelry for vital sign monitoring.

[0086] The terminal may also be a drone, a robot, a terminal in device-to-device (D2D) communication, a terminal in vehicle-to-everything (V2X), a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal in industrial control, a wireless terminal in self-driving, a wireless terminal in remote medical, a wireless terminal in smart grid, a wireless terminal in transportation safety, a wireless terminal in smart city, a wireless terminal in smart home, etc.

[0087] In addition, the terminal device may also be a terminal device in a communication system that has evolved after the fifth generation (5G) communication system (e.g., a sixth generation (6G) communication system) or a terminal device in a future public land mobile network (PLMN). For example, the 6G network can further expand the form and function of 5G communication terminals. 6G terminals include but are not limited to vehicles, cellular network terminals (with integrated satellite terminal functions), drones, and Internet of Things (IoT) devices.

[0088] In an embodiment of the present application, the terminal device may also obtain AI services provided by the network device. Optionally, the terminal device may also have AI processing capabilities.

[0089] (2) Network equipment: It can be a device in a wireless network. For example, the network equipment can be a RAN node (or device) that connects a terminal device to a wireless network, which can also be called a base station. Currently, some examples of RAN equipment are: base station, evolved NodeB (eNodeB), gNB (gNodeB) in a 5G communication system, transmission reception point (TRP), evolved Node B (eNB), radio network controller (RNC), Node B (NB), home base station (e.g., home evolved Node B, or home Node B, HNB), base band unit (BBU), or wireless fidelity (Wi-Fi) access point AP, etc. In addition, in a network structure, the network equipment can include a centralized unit (CU) node, a distributed unit (DU) node, or a RAN device including a CU node and a DU node.

[0090] Alternatively, a RAN node can be a macro base station, micro base station, indoor base station, relay node, donor node, or a wireless controller in a cloud radio access network (CRAN) scenario. A RAN node can also be a server, wearable device, vehicle, or vehicle-mounted device. For example, the access network device in vehicle-to-everything (V2X) technology can be a roadside unit (RSU).

[0091] In another possible scenario, multiple RAN nodes collaborate to assist the terminal in achieving wireless access, and different RAN nodes respectively implement part of the functions of the base station. For example, the RAN node can be a centralized unit (CU), a distributed unit (DU), a CU-control plane (CP), a CU-user plane (UP), or a radio unit (RU). The CU and DU can be set separately, or they can be included in the same network element, such as a baseband unit (BBU). The RU can be included in a radio frequency device or radio frequency unit, such as a remote radio unit (RRU), an active antenna unit (AAU), or a remote radio head (RRH).

[0092] In different systems, CU (or CU-CP and CU-UP), DU or RU may also have different names, but those skilled in the art can understand their meanings. For example, in an open access network (open RAN, O-RAN or ORAN) system, CU may also be called O-CU (open CU), DU may also be called O-DU, CU-CP may also be called O-CU-CP, CU-UP may also be called O-CU-UP, and RU may also be called O-RU. For the convenience of description, this application takes CU, CU-CP, CU-UP, DU and RU as examples for description. Any unit of CU (or CU-CP, CU-UP), DU and RU in this application can be implemented by a software module, a hardware module, or a combination of a software module and a hardware module.

[0093] The communication between the access network device and the terminal device follows a certain protocol layer structure. The protocol layer may include a control plane protocol layer and a user plane protocol layer. The control plane protocol layer may include at least one of the following: a radio resource control (RRC) layer, a packet data convergence protocol (PDCP) layer, a radio link control (RLC) layer, a media access control (MAC) layer, or a physical (PHY) layer. The user plane protocol layer may include at least one of the following: a service data adaptation protocol (SDAP) layer, a PDCP layer, an RLC layer, a MAC layer, or a physical layer.

[0094] For the correspondence between network elements in the ORAN system and their achievable protocol layer functions, please refer to Table 1 below.

[0095] Table 1

[0096] ORAN network elements 3GPP protocol layer functions O-CU-CP RRC+PCDP-Control Plane (PDCP-C) O-CU-UP SDAP+PCDP-User Plane (PDCP-U) O-DU RLC+MAC+PHY-high O-RU PHY-low

[0097] The network device may be any other device that provides wireless communication functionality to the terminal device. The embodiments of this application do not limit the specific technology and device form used by the network device. For ease of description, the embodiments of this application do not limit this.

[0098] The network equipment may also include core network equipment, which may include, for example, a mobility management entity (MME), a home subscriber server (HSS), a serving gateway (S-GW), a policy and charging rules function (PCRF), and a public data network gateway (PDN gateway, P-GW) in a fourth generation (4G) network; and network elements such as an access and mobility management function (AMF), a user plane function (UPF), or a session management function (SMF) in a 5G network. In addition, the core network equipment may also include other core network equipment in a 5G network and a next generation network of a 5G network.

[0099] In an embodiment of the present application, the above-mentioned network device may also have a network node with AI capabilities, which can provide AI services for terminals or other network devices. For example, it can be an AI node on the network side (access network or core network), a computing power node, a RAN node with AI capabilities, a core network element with AI capabilities, etc.

[0100] In the embodiments of the present application, the apparatus for implementing the function of the network device may be the network device, or may be a device capable of supporting the network device in implementing the function, such as a chip system, which may be installed in the network device. In the technical solutions provided in the embodiments of the present application, the technical solutions provided in the embodiments of the present application are described by taking the network device as an example.

[0101] (3) Configuration and pre-configuration: In this application, configuration and pre-configuration are used at the same time. Configuration refers to the network device and / or server sending some parameter configuration information or parameter values ​​to the terminal through messages or signaling, so that the terminal can determine the communication parameters or resources during transmission based on these values ​​or information. Pre-configuration is similar to configuration, and can be parameter information or parameter values ​​that the network device and / or server have pre-negotiated with the terminal device, or parameter information or parameter values ​​used by the base station / network device or terminal device as specified in the standard protocol, or parameter information or parameter values ​​pre-stored in the base station and / or server or terminal device. This application does not limit this.

[0102] Furthermore, these values ​​and parameters can be changed or updated.

[0103] (4) The terms "system" and "network" in the embodiments of the present application can be used interchangeably. "Multiple" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, "at least one of A, B and C" includes A, B, C, AB, AC, BC or ABC. In addition, unless otherwise specified, the ordinal numbers such as "first" and "second" mentioned in the embodiments of the present application are used to distinguish multiple objects, and are not used to limit the order, timing, priority or importance of multiple objects.

[0104] (5) “Sending” and “receiving” in the embodiments of the present application indicate the direction of signal transmission. For example, “sending information to XX” can be understood as the destination of the information being XX, which can include direct sending through the air interface, as well as indirect sending through the air interface by other units or modules. “Receiving information from YY” can be understood as the source of the information being YY, which can include direct receiving from YY through the air interface, as well as indirect receiving from YY through the air interface from other units or modules. “Sending” can also be understood as the “output” of the chip interface, and “receiving” can also be understood as the “input” of the chip interface.

[0105] In other words, sending and receiving can be performed between devices, for example, between a network device and a terminal device, or can be performed within a device, for example, sending or receiving between components, modules, chips, software modules or hardware modules within the device through a bus, wiring or interface.

[0106] It is understandable that information may be processed between the source and destination of information transmission, such as coding, modulation, etc., but the destination can understand the valid information from the source. Similar expressions in this application can be understood similarly and will not be repeated.

[0107] (6) In the embodiments of the present application, "indication" may include direct indication and indirect indication, and may also include explicit indication and implicit indication. The information indicated by a certain information (such as the indication information described below) is called information to be indicated. In the specific implementation process, there are many ways to indicate the information to be indicated, such as but not limited to, directly indicating the information to be indicated, such as the information to be indicated itself or the index of the information to be indicated. The information to be indicated may also be indirectly indicated by indicating other information, wherein the other information is associated with the information to be indicated; or only a part of the information to be indicated may be indicated, while the other part of the information to be indicated is known or agreed in advance. For example, the indication of specific information may be achieved by means of the arrangement order of each information agreed in advance (such as predefined by the protocol), thereby reducing the indication overhead to a certain extent. The present application does not limit the specific method of indication. It is understandable that for the sender of the indication information, the indication information can be used to indicate the information to be indicated, and for the receiver of the indication information, the indication information can be used to determine the information to be indicated.

[0108] In this application, unless otherwise specified, the same or similar parts between the various embodiments can refer to each other. In the various embodiments of this application, and the various methods / designs / implementations in each embodiment, if there is no special explanation and logical conflict, the terms and / or descriptions between different embodiments and the various methods / designs / implementations in each embodiment are consistent and can be referenced to each other. The technical features in different embodiments and the various methods / designs / implementations in each embodiment can be combined to form new embodiments, methods, or implementations according to their inherent logical relationships. The following description of the implementation methods of this application does not constitute a limitation on the scope of protection of this application.

[0109] The present application can be applied to a long term evolution (LTE) system, a new radio (NR) system, or a communication system evolved after 5G (such as 6G, etc.). The communication system includes at least one network device and / or at least one terminal device.

[0110] See also Figure 1a , which is a schematic diagram of the communication system in this application. Figure 1a In the example, a network device and 6 terminal devices are shown, and the 6 terminal devices are terminal device 1, terminal device 2, terminal device 3, terminal device 4, terminal device 5 and terminal device 6. Figure 1a In the example shown, terminal device 1 is a smart teacup, terminal device 2 is a smart air conditioner, terminal device 3 is a smart gas pump, terminal device 4 is a vehicle, terminal device 5 is a mobile phone, and terminal device 6 is a printer.

[0111] like Figure 1a As shown, the AI ​​configuration information sending entity can be a network device. The AI ​​configuration information receiving entity can be terminal devices 1-6. In this case, the network device and terminal devices 1-6 form a communication system. In this communication system, terminal devices 1-6 can send data to the network device, and the network device needs to receive data sent by terminal devices 1-6. At the same time, the network device can send configuration information to terminal devices 1-6.

[0112] For example, in Figure 1a In the example, terminal devices 4-6 can also form a communication system. Terminal device 5 acts as a network device, i.e., the AI ​​configuration information sending entity; terminal devices 4 and 6 act as terminal devices, i.e., the AI ​​configuration information receiving entities. For example, in a connected vehicle system, terminal device 5 sends AI configuration information to terminal devices 4 and 6, respectively, and receives data from them. Correspondingly, terminal devices 4 and 6 receive AI configuration information from terminal device 5 and send data to terminal device 5.

[0113] by Figure 1a Taking the communication system shown as an example, in addition to executing communication-related services, different devices (including between network devices and network devices, between network devices and terminal devices, and / or between terminal devices and terminal devices) may also execute AI-related services.

[0114] like Figure 1b As shown, taking the network device as a base station as an example, the base station can perform communication-related services and AI-related services with one or more terminal devices, and communication-related services and AI-related services can also be performed between different terminal devices.

[0115] like Figure 1c As shown, taking terminal devices including TV and mobile phone as an example, communication-related services and AI-related services can also be performed between the TV and the mobile phone.

[0116] The technical solution provided by this application can be applied to wireless communication systems (such as Figure 1a 、 Figure 1b or Figure 1cThe system shown in the figure) is a system in which an AI network element can be introduced into the communication system provided in the present application to implement some or all AI-related operations. The AI ​​network element can also be called an AI node, an AI device, an AI entity, an AI module, an AI model, or an AI unit, etc. The AI ​​network element can be a network element built into the communication system. For example, the AI ​​network element can be an AI module built into: an access network device, a core network device, a cloud server, or a network management (operation, administration and maintenance, OAM) to implement AI-related functions. The OAM can be a network management for a core network device and / or a network management for an access network device. Alternatively, the AI ​​network element can also be a network element independently set up in the communication system. Optionally, the terminal or the chip built into the terminal can also include an AI entity to implement AI-related functions.

[0117] The following is a brief introduction to artificial intelligence (AI) that may be involved in this application.

[0118] Artificial intelligence (AI) can imbue machines with human intelligence. For example, it can enable machines to simulate certain intelligent human behaviors using computer hardware and software. Machine learning methods can be used to achieve AI. In machine learning, a machine uses training data to learn (or train) a model. This model represents the mapping from input to output. The learned model can be used for inference (or prediction), meaning that the model can be used to predict the output corresponding to a given input. This output can also be called an inference result (or prediction result).

[0119] Machine learning can include supervised learning, unsupervised learning, and reinforcement learning. Among them, unsupervised learning can also be called unsupervised learning.

[0120] Supervised learning uses machine learning algorithms to learn the mapping relationship between sample values ​​and sample labels based on collected sample values ​​and sample labels, and then expresses this learned mapping relationship using an AI model. The process of training a machine learning model is the process of learning this mapping relationship. During training, sample values ​​are input into the model to obtain the model's predicted values. The model parameters are optimized by calculating the error between the model's predicted values ​​and the sample labels (ideal values). Once the mapping relationship is learned, the learned mapping can be used to predict new sample labels. The mapping relationship learned by supervised learning can include linear mappings or nonlinear mappings. Based on the type of label, the learning task can be divided into classification tasks and regression tasks.

[0121] Unsupervised learning uses algorithms to discover inherent patterns in collected sample values. One type of unsupervised learning algorithm uses the samples themselves as supervisory signals, meaning the model learns the mapping from one sample to another. This is called self-supervised learning. During training, the model parameters are optimized by calculating the error between the model's predictions and the samples themselves. Self-supervised learning can be used in signal compression and decompression recovery applications. Common algorithms include autoencoders and generative adversarial networks.

[0122] Reinforcement learning, unlike supervised learning, is a type of algorithm that learns problem-solving strategies through interaction with the environment. Unlike supervised and unsupervised learning, reinforcement learning problems lack explicit label data for "correct" actions. Instead, the algorithm must interact with the environment to obtain reward signals from the environment, and then adjust its decision-making actions to maximize the reward signal value. For example, in downlink power control, the reinforcement learning model adjusts the downlink transmit power of each user based on the overall system throughput fed back by the wireless network, hoping to achieve higher system throughput. The goal of reinforcement learning is also to learn the mapping between environmental states and optimal (e.g., optimal) decision-making actions. However, because the labels for "correct actions" cannot be obtained in advance, network optimization cannot be achieved by calculating the error between actions and "correct actions." Reinforcement learning training is achieved through iterative interaction with the environment.

[0123] A neural network (NN) is a specific model in machine learning technology. According to the universal approximation theorem, NNs can theoretically approximate any continuous function, enabling them to learn arbitrary mappings. Traditional communication systems require extensive expert knowledge to design communication modules. However, deep learning communication systems based on neural networks can automatically discover implicit patterns in massive data sets and establish mapping relationships between data, achieving performance superior to traditional modeling methods.

[0124] The idea of ​​a neural network is derived from the neuronal structure of the brain. For example, each neuron performs a weighted sum operation on its input values ​​and outputs the result through an activation function.

[0125] like Figure 1d As shown in Figure 1, it is a schematic diagram of the neuron structure. Assume that the input of the neuron is x=[x0,x1,…,x n ], and the weights corresponding to each input are w=[w0,w1,…,w n ], where n is a positive integer, w i and x i It can be a decimal, an integer (such as 0, a positive integer or a negative integer, etc.), or a complex number. i As x i The weight of xi Weighted. The bias of the weighted sum of the input values ​​according to the weight is, for example, b. The activation function can take many forms. Assuming that the activation function of a neuron is: y = f(z) = max(0,z), then the output of the neuron is: For another example, if the activation function of a neuron is: y = f(z) = z, then the output of the neuron is: b can be a decimal, an integer (eg, 0, a positive integer, or a negative integer), or a complex number, etc. The activation functions of different neurons in a neural network can be the same or different.

[0126] Furthermore, neural networks generally include multiple layers, each of which may include one or more neurons. Increasing the depth and / or width of a neural network can improve its expressive power, providing more powerful information extraction and abstract modeling capabilities for complex systems. The depth of a neural network can refer to the number of layers it comprises, and the number of neurons in each layer can be referred to as the width of that layer. In one implementation, a neural network includes an input layer and an output layer. The input layer processes the input information received by the neural network through neurons, passing the processing results to the output layer, which then obtains the output of the neural network. In another implementation, a neural network includes an input layer, a hidden layer, and an output layer. The input layer processes the input information received by the neural network through neurons, passing the processing results to an intermediate hidden layer. The hidden layer performs calculations on the received processing results to obtain a calculation result, which is then passed to the output layer or the next adjacent hidden layer, which ultimately obtains the output of the neural network. A neural network can include one hidden layer or multiple hidden layers connected in sequence, without limitation.

[0127] A neural network is, for example, a deep neural network (DNN). Depending on how the network is constructed, a DNN can include a feedforward neural network (FNN), a convolutional neural network (CNN), and a recurrent neural network (RNN).

[0128] Figure 1e This is a schematic diagram of a FNN network. FNNs are characterized by full connectivity between neurons in adjacent layers. This characteristic typically requires a large amount of storage space and results in high computational complexity.

[0129] CNN is a neural network specifically designed to process data with a grid-like structure. For example, time series data (discrete sampling along the time axis) and image data (discrete sampling along two dimensions) can both be considered grid-like data. CNNs do not utilize all input information at once for computation. Instead, they use a fixed-size window to intercept a portion of the information for convolution operations, significantly reducing the computational complexity of model parameters. Furthermore, depending on the type of information intercepted by the window (e.g., people and objects in an image represent different types of information), each window can use a different convolution kernel, enabling CNNs to better extract features from the input data.

[0130] RNNs are a type of DNN that utilizes feedback time series information. Their input consists of a new input value at the current moment and their own output value at the previous moment. RNNs are suitable for capturing temporally correlated sequence features and are particularly well-suited for applications such as speech recognition and channel coding.

[0131] During the machine learning model training process, a loss function can be defined. This function describes the gap or discrepancy between the model's output and the ideal target value. Loss functions can be expressed in various forms, and there are no restrictions on their specific form. The model training process can be viewed as adjusting some or all of the model's parameters to keep the loss function below a threshold or meet the target.

[0132] A model may also be referred to as an AI model, rule, or other name. An AI model can be considered a specific method for implementing an AI function. An AI model represents a mapping relationship or function between the input and output of a model. AI functions may include one or more of the following: data collection, model training (or model learning), model information release, model inference (or model reasoning, inference, or prediction, etc.), model monitoring or model verification, or inference result release, etc. AI functions may also be referred to as AI (related) operations, or AI-related functions.

[0133] The following is an exemplary description of the implementation process of the neural network with reference to the accompanying drawings.

[0134] 1. Fully connected neural network, also known as multilayer perceptron (MLP).

[0135] like Figure 2a As shown in the figure, an MLP consists of an input layer (left), an output layer (right), and multiple hidden layers (center). Each layer of the MLP contains several nodes, called neurons. Neurons in adjacent layers are connected to each other.

[0136] Alternatively, considering neurons in two adjacent layers, the output h of the neurons in the next layer is the weighted sum of all neurons x in the previous layer connected to it and passes through the activation function, which can be expressed as:

[0137] h=f(wx+b).

[0138] Among them, w is the weight matrix, b is the bias vector, and f is the activation function.

[0139] Alternatively, the output of the neural network can be recursively expressed as:

[0140] y=f n (w n f n-1 (…)+b n ).

[0141] Where n is the index of the neural network layer, 1<=n<=N, where N is the total number of neural network layers.

[0142] In other words, a neural network can be understood as a mapping from an input data set to an output data set. Neural networks are typically initialized randomly, and the process of obtaining this mapping from random w and b using existing data is called neural network training.

[0143] Optionally, a specific training method is to use a loss function to evaluate the output results of the neural network.

[0144] like Figure 2b As shown, the error can be back-propagated, and the neural network parameters (including w and b) can be iteratively optimized by the gradient descent method until the loss function reaches the minimum value, that is, Figure 2b The “better point (e.g., optimal point)” in Figure 2b The neural network parameters corresponding to the “better point (e.g., optimal point)” in the training can be used as the neural network parameters in the trained AI model information.

[0145] Alternatively, the gradient descent process can be expressed as:

[0146]

[0147] Among them, θ is the parameter to be optimized (including w and b), L is the loss function, and η is the learning rate, which controls the step size of gradient descent. represents the derivative operation, represents the derivative of θ with respect to L.

[0148] Optionally, the backpropagation process utilizes the chain rule for partial derivatives.

[0149] like Figure 2c As shown, the gradient of the previous layer parameters can be recursively calculated from the gradient of the next layer parameters, which can be expressed as:

[0150]

[0151] Among them, w ij is the weight of node j connecting to node i, s i is the weighted sum of the inputs to node i.

[0152] 2. Federated Learning (FL)

[0153] The concept of federated learning effectively solves the current difficulties faced by the development of artificial intelligence. On the premise of fully protecting user data privacy and security, it efficiently completes the model learning task by promoting the collaboration between various edge devices and central servers.

[0154] like Figure 2d As shown in Figure 1, the FL architecture is the most widely used training architecture in the current FL field. The FedAvg algorithm is the basic algorithm of FL. Its algorithm flow is roughly as follows:

[0155] (1) The center initializes the model to be trained And broadcast it to all client devices.

[0156] (2) In the round t∈[1,T], client k∈[1,K] based on the local dataset For the received global model Perform E epochs of training to obtain local training results Report it to the central node.

[0157] (3) The central node aggregates and collects the local training results from all (or some) clients. Assume that the client set that uploads the local model in round t is The center will use the number of samples of the corresponding client as the weight to perform weighted averaging to obtain a new global model. The specific update rule is: The center then sends the latest version of the global model Broadcast to all client devices for a new round of training.

[0158] (4) Repeat steps (2) and (3) until the model finally converges or the number of training rounds reaches the upper limit.

[0159] In addition to reporting local models You can also use the local gradient of training After reporting, the central node averages the local gradients and updates the global model according to the direction of the average gradient.

[0160] As you can see, in the FL framework, datasets exist on distributed nodes. Distributed nodes collect local datasets, perform local training, and report the local training results (models or gradients) to the central node. The central node itself does not have a dataset; it is only responsible for fusing the training results of distributed nodes to obtain a global model and send it to the distributed nodes.

[0161] 3. Decentralized learning: Different from federated learning, decentralized learning is another distributed learning architecture.

[0162] like Figure 2e As shown, consider a fully distributed system without a central node. The design goal f(x) of a decentralized learning system is generally the goal f of each node. i The mean of (x), that is Where n is the number of distributed nodes, x is the parameter to be optimized. In machine learning, x is the parameter of the machine learning (such as neural network) model. Each node uses local data and local target f i (x) Calculate local gradient Then it is sent to the neighboring nodes that can be communicated with. After any node receives the gradient information sent by its neighbor, it can update the parameter x of the local model according to the following formula:

[0163]

[0164] in, represents the parameters of the local model after the k+1th (k is a natural number) update in the i-th node, Represents the parameters of the local model after the kth update in the i-th node (if k is 0, it means is the parameter of the local model of the i-th node that does not participate in the update), α k Represents the tuning coefficient, N i is the set of neighbor nodes of node i, |N i | represents the number of elements in the neighbor node set of node i, that is, the number of neighbor nodes of node i. Through information interaction between nodes, the decentralized learning system will eventually learn a unified model.

[0165] The technical solution provided by this application can be applied to wireless communication systems (such as Figure 1a or Figure 1b In wireless communication systems, communication nodes generally possess both signal transceiver and computing capabilities. For example, network devices with computing capabilities primarily provide computing power to support signal transceiver capabilities (e.g., processing both sending and receiving signals), enabling communication between the network device and other communication nodes.

[0166] In addition to processing communication signals within a communication network, communication devices may also handle other communication tasks. Radio map models can be widely applied to various communication tasks, including but not limited to network planning, interference control, path loss prediction, signal strength prediction, power control, resource allocation, handover management, multi-hop routing, or dynamic spectrum access. Generally, a radio map module can obtain radio information based on input information.

[0167] As an implementation example, Figure 2f As shown, the current radio map model is generally a single-function radio map model (denoted as "RF map" in the figure), that is, the input is the user's state information (such as location coordinates, environmental information, etc., denoted as "(x, y)" in the figure), and the output is the radio-related information of the user in that state (such as location, state) (denoted as "(z)" in the figure). For example, the input of the radio map model is the location information of user 1, and the output is the path loss of user 1 at that location. In this case, this radio map model can also be called a path loss map model, that is, the function of this radio map model is to output path loss. For another example, the input of the radio map model is the location information of user 2, and the output is the radio signal strength of user 2 at that location. In this case, this radio map model can also be called a signal strength map model, that is, the function of this radio map model is to output signal strength.

[0168] However, based on Figure 2e The illustrated method for providing radio information requires the provider to deploy multiple independent models to provide different radio information (i.e., different functions), which reduces flexibility. Furthermore, the independent deployment and operation of different radio map models also leads to high model complexity. Therefore, optimizing radio map models is a pressing technical issue.

[0169] In order to solve the above problems, the present application provides a communication method and related devices, which will be described in detail below with reference to the accompanying drawings.

[0170] See also Figure 3 , is a schematic diagram of an implementation of the communication method provided in this application, and the method includes the following steps.

[0171] It should be noted that in Figure 3 In the example, the first communication device and the second communication device are used as the execution subjects of the interaction diagram to illustrate the method, but the present application does not limit the execution subjects of the interaction diagram. Figure 3 In the embodiment, the execution subject of the method can be replaced by a chip, a chip system, a processor, a logic module or software in the communication device.

[0172] As an example, the first communication device may be a terminal device and the second communication device may be a network device or a third server. For example, the network device may be an access network device, a core network device, etc.

[0173] As another example, the first communication device may be an access network device, and the second communication device may be a core network device or a third-party server, etc.

[0174] As another example, the first communication device and the second communication device are both terminal devices, that is, Figure 3 The illustrated solution can be applied to sidelink communication scenarios.

[0175] S301. A first communication device sends first information, and a second communication device receives the first information. The first information indicates M radio map sub-models, where the M radio map sub-models are included in N radio map sub-models of a radio map model, where N is an integer greater than 1 and M is a positive integer less than or equal to N. Different radio map sub-models in the N radio map sub-models are configured to output different radio information, and at least two of the N radio map sub-models are associated with each other.

[0176] S302: The second communication device sends second information, and correspondingly, the first communication device receives the second information, wherein the second information is used to determine the radio information output by the M radio map sub-models.

[0177] In this application, a radio map model (or sub-model) may be a mathematical model, an artificial intelligence (AI) model, a neural network, a neural network model, an AI neural network model, a machine learning model, an AI processing model, etc. Accordingly, the radio map model and the radio map sub-model may be replaced by other terms, such as a radio map neural network and a radio map sub-neural network, a radio map AI model and a radio map sub-AI model, a radio map model and a radio map layer model (i.e., a radio map includes N radio map layers), etc.

[0178] It should be noted that, in the radio map model, different radio map sub-models among the N radio map sub-models are used to output different radio information, wherein the different radio information may be implemented in multiple ways.

[0179] For example, the different radio information may be different types of radio information. For example, the different radio information may include at least two of path loss information, signal strength information, interference information, and power information.

[0180] For another example, different radio information may be radio information of the same type but with different data characteristics. For example, take the same type of radio information as signal strength information as an example. For example, different radio information may include signal strength information on a first scale and signal strength information on a second scale, where the first scale is different from the second scale (for example, the first scale corresponds to the signal strength on a radio map of A meters * A meters, and the second scale corresponds to the signal strength on a radio map of B meters * B meters, where A and B are both positive numbers and A is not equal to B). For another example, different radio information may include signal strength information of a first precision and signal strength information of a second precision, where the first precision is different from the second precision (for example, the first precision corresponds to the signal strength represented by floating-point data, and the second precision corresponds to the signal strength represented by integer data).

[0181] based on Figure 3 In the illustrated solution, the second information received by the first communication device in step S302 can be used to determine the radio information output by M radio map sub-models, where the M radio map sub-models are included in N radio map sub-models of the radio map model, where N is an integer greater than 1 and M is a positive integer less than or equal to N. In other words, the second information received by the first communication device can be used to determine the radio information output by some or all of the sub-models included in the radio map model, and different sub-models can be used to output different radio information. In this way, the communication device can obtain one or more different radio information from at least two radio map sub-models included in the same radio map model. Compared to a single radio map model that can only provide one output method, this can increase the flexibility of the radio map model.

[0182] Furthermore, different radio map sub-models among the N radio map sub-models included in the radio map model are used to output different radio information, and at least two of the N radio map sub-models are associated with each other. This allows the radio map model to provide multiple different outputs while also reducing its complexity by leveraging the associations between different radio map sub-models.

[0183] Optionally, the input of the radio map model may include communication status information of the communication device. For example, the communication status information may include real-time information (or dynamic information) such as transmit power, modulation and coding scheme (MCS) level, number of retransmissions, or data cache status information; that is, the radio information can be determined by the real-time communication status of the communication device, so that the determination process of the radio information can take into account the influence of the real-time communication status, thereby improving the accuracy of the radio information. For another example, the communication status information may include non-real-time information (or static information) such as location coordinate information, environmental information, or antenna configuration information; that is, the radio information can be determined by the non-real-time communication status of the communication device, so that the determination process of the radio information can take into account the influence of the non-real-time communication status, thereby further improving the accuracy of the radio information.

[0184] Alternatively, as Figure 3 In the method shown, the first communication device can be the requester of the radio information, and the second communication device can be the provider of the radio information; accordingly, the first communication device can be called a radio map user (or map user, or radio map model user, etc.), and the second communication device can be a radio map server (or map server, or radio map model server, etc.).

[0185] exist Figure 3 In one possible implementation of the illustrated scheme, in a radio map model, at least two of N radio map sub-models are associated with each other, including: among the N radio map sub-models, the input of at least one radio map sub-model includes output features of an intermediate layer of one or more other radio map sub-models, and / or the output of one or more other radio map sub-models.

[0186] And / or, in the radio map model, at least two of the N radio map sub-models are associated, including: among the N radio map sub-models, the input features of the intermediate layer of at least one radio map sub-model include the output features of the intermediate layer of one or more other radio map sub-models, and / or, the output of one or more other radio map sub-models.

[0187] In other words, N radio map sub-models can include N radio map layer models, each of which corresponds to a different layer, and there are dependencies (or associations) between different layers. That is, the radio map can include N "layers", and different layers can output different radio information.

[0188] As an implementation example, take the case where the m-th radio map sub-model and the n-th radio map sub-model in N radio map sub-models are associated with each other. The input of the n-th radio map sub-model includes the output features of the intermediate layer of the m-th radio map sub-model, and / or, the output of the m-th radio map sub-model. And / or, the input features of the intermediate layer of the n-th radio map sub-model include the output features of the intermediate layer of the m-th radio map sub-model, and / or, the output of the m-th radio map sub-model.

[0189] For example, Figure 4 As shown, the mth radio map sub-model is recorded as Lm and the nth radio map sub-model is recorded as Ln as an example.

[0190] For Lm, the input may include Xm, and after being processed by the mth radio map sub-model, the output of the mth radio map sub-model may be Ym.

[0191] For Ln, the input may include Ym and / or Zm (Ym is the output of Lm, and Zm is the output feature of the intermediate layer of Lm). After processing by the nth radio map sub-model, the output of the nth radio map sub-model may be Yn. And / or, for Ln, the input features of the intermediate layer may include Ym and / or Zm (Ym is the output of Lm, and Zm is the output feature of the intermediate layer of Lm). After processing by the nth radio map sub-model, the output of the nth radio map sub-model may be Yn.

[0192] Optionally, the input of Ln may also include Xn.

[0193] based on Figure 4 In the illustrated approach, the inputs (and / or input features of the intermediate layers) of the nth radio map sub-model can include the output features of the intermediate layers (and / or the output of the mth radio map sub-model) of the mth radio map sub-model. In this way, the nth radio map sub-model can determine its output based on the mth radio map sub-model. Compared to independently configuring the mth and nth radio map sub-models to obtain Ym and Yn, respectively, this approach can leverage the association between different radio map sub-models, thereby reducing the complexity of the radio map model.

[0194] The following is an introduction with a specific implementation example.

[0195] For example, taking seven radio map sub-models as an example, the following process is included:

[0196] Sub-model 1 outputs the channel multipath component information, i.e. the power, delay, departure angle, arrival angle, etc. of each channel path;

[0197] Sub-model 2 outputs path loss;

[0198] Sub-model 3 outputs signal strength;

[0199] Sub-model 4 outputs interference intensity;

[0200] Submodel 5 outputs the signal-to-noise ratio;

[0201] Beam information recommended by sub-model 6, such as beam index and precoding scheme;

[0202] Sub-model 7 outputs the recommended modulation and coding scheme (MCS).

[0203] The model information of the seven sub-models can be implemented through the example shown in Table 2 below, that is, the seven sub-models correspond to the seven sub-models indexed from 1 to 7 in Table 2 below.

[0204] Table 2

[0205]

[0206] Optionally, in Table 2, the input of the sub-model corresponding to any index may further include other information, such as environmental information, identification of the communication device, etc.

[0207] In the example shown in Table 2, among the 7 sub-models, there may be a dependency relationship between different sub-models, that is, there is at least one sub-model whose input and / or input features of the intermediate layer include the output features of the output and / or the intermediate layer of other sub-models. For example, taking sub-model 2 (output path loss) with an index of 2 as an example, the value of the "association relationship" of sub-model 2 is "1", indicating that the input features of the input or intermediate layer of sub-model 2 can include the output features of the output or intermediate layer of sub-model 1 (output channel multipath component). For another example, taking sub-model 3 (output signal strength) with an index of 3 as an example, the value of the "association relationship" of sub-model 3 is "2", indicating that the input features of the input or intermediate layer of sub-model 3 (output signal strength) can include the output features of the output or intermediate layer of sub-model 2 (output path loss).

[0208] As can be seen from the preceding implementation, among the N radio map sub-models, at least two of them are associated with each other. Accordingly, in the example shown in Table 2, the N radio map sub-models may include the seven sub-models shown in Table 2. Alternatively, the N radio map sub-models may include any associated sub-models shown in Table 2 (e.g., sub-model 1 and sub-model 2, sub-model 1 and sub-model 6, sub-model 2 and sub-model 3, sub-model 2 and sub-model 4, sub-model 3, sub-model 4, and sub-model 5, sub-model 5, sub-model 6, and sub-model 7, etc.).

[0209] exist Figure 3 In one possible implementation of the illustrated solution, the first information sent by the first communication device in step S301 includes one or more of the following: indexes of the M radio map sub-models, model description information of the M radio map sub-models, and information about tasks applied by the M radio map sub-models. Thus, the first information sent by the first communication device can indicate the M radio map sub-models in a variety of ways, thereby increasing the flexibility of the solution implementation.

[0210] Optionally, the first information is determined based on model information of the N radio map sub-models; wherein, among the model information of the N radio map sub-models, the model information of any radio map sub-model (the model information of any radio map sub-model can refer to the example shown in Table 2 above) includes at least one of the following:

[0211] an index of the any radio map sub-model;

[0212] Descriptive information of the input of any radio map sub-model (e.g., one or more of the type, dimension, size, precision, format, and pre-processing method of the input data);

[0213] Descriptive information of the output of any radio map sub-model (e.g., one or more of the type, dimension, size, accuracy, format, and pre-processing method of the output data);

[0214] The association relationship between any radio map sub-model and other radio map sub-models;

[0215] Model description information of any radio map sub-model;

[0216] The mission information to which the output of any radio map sub-model is applied.

[0217] exist Figure 3 In a possible implementation of the illustrated solution, the second information received by the first communication device in step S302 may be implemented in a variety of ways, which will be described below with reference to some implementation examples.

[0218] In implementation example 1, the second information includes the radio information output by the M radio map sub-models. Through implementation example 1, the first communication device can obtain the radio information output by the M radio map sub-models through the second information received in step S302, thereby reducing implementation complexity.

[0219] Optionally, in Implementation Example 1, when the second information includes radio information output by the M radio map sub-models, before the first communication device receives the second information in step S302, the method further includes: the first communication device transmitting input data for at least one of the M radio map sub-models. Specifically, the first communication device may further transmit the input data for at least one radio map sub-model so that a recipient of the input data can determine the radio information output by the M radio map sub-models based on the input data.

[0220] It should be noted that, in the first implementation example, the first communication device may obtain the radio information output by the M radio map sub-models through the received second information. This approach may be referred to as an access approach.

[0221] In implementation example 2, the second information includes model information of the M radio map sub-models. By implementing example 2, the first communication device can obtain radio information output by the M radio map sub-models based on the model information, thereby reducing implementation complexity of the provider of the second information.

[0222] Optionally, in implementation example 2, when the second information may include model information of the M radio map sub-models, after the first communication device receives the second information in step S302, the method further includes: the first communication device determining, based on the model information of the M radio map sub-models and input data of the M radio map sub-models, the radio information output by the M radio map sub-models. Specifically, when the second information received by the first communication device includes the model information of the M radio map sub-models, the first communication device may further locally generate, construct, or obtain the M radio map sub-models based on the model information of the M radio map sub-models, and process the input data based on the M radio map sub-models to obtain the radio information output by the M radio map sub-models.

[0223] It should be noted that in implementation example two, after the first communication device obtains the model information of M radio map sub-models through the received second information, it further generates, constructs or obtains the M radio map sub-models locally to obtain the radio information output by the M radio map sub-models. This method can be called a download method.

[0224] In a possible implementation, in addition to the above implementation examples 1 and 2, the first communication device may also obtain the radio information required by the first communication device through a combination of access and download methods. For example, when the radio information required by the first communication device includes radio information output by M radio map sub-models and radio information output by K radio map sub-models, in the above implementation example 1, if Figure 5 As shown, the method further includes:

[0225] S501. A first communication device sends third information, and a second communication device receives the third information. The third information indicates K radio map sub-models, the K radio map sub-models being included in the N radio map sub-models, where K is a positive integer smaller than N.

[0226] S502. The second communication device sends fourth information, and the first communication device receives the fourth information in response. The fourth information includes model information of the K radio map sub-models; the first communication device determines radio information output by the K radio map sub-models based on the model information of the K radio map sub-models and input data of the K radio map sub-models.

[0227] It should be noted that Figure 5 In the process shown, the execution order of step S301 and step S501 is not limited. For example, step S301 may be executed first and then step S501, or step S501 may be executed first and then step S301.

[0228] Specifically, the first communication device can also obtain model information of K radio map sub-models through the interaction of the third information and the fourth information, and determine the radio information output by the K radio map sub-models based on the model information of the K radio map sub-models and the input data of the K radio map sub-models. In this way, the first communication device can locally generate, construct, or obtain the radio map sub-model using the received model information of the radio map sub-model, and perform processing based on the radio map sub-model to obtain the corresponding radio information.

[0229] Optionally, the M radio map sub-models are different from the K radio map sub-models. For example, the M radio map sub-models are not identical to the K radio map sub-models. For another example, any sub-model of the M radio map sub-models is different from any sub-model of the K radio map sub-models. For another example, at least one sub-model of the M radio map sub-models is different from any sub-model of the K radio map sub-models.

[0230] exist Figure 5In one possible implementation of the illustrated solution, assuming that the first communication device is a map user and the second communication device is a map server, in step S502, the device sending the fourth information to the map user (i.e., the first communication device) (i.e., another communication device providing model information of K radio map sub-models to the first communication device) can be another map user in addition to the map server. This will be explained below with reference to some implementation examples.

[0231] In example A, after the first communication device sends third information to the second communication device, the second communication device may send instructions to other map users based on the third information, so that the other map users send fourth information to the first communication device based on the instructions.

[0232] Optionally, in this example A, different map users may send indication information to the map server (i.e., the second communication device) in advance to indicate the model information of the wireless map sub-model stored locally by each map user. Subsequently, the map server may send instructions to other map users based on the collected indication information, so that the other map users send fourth information to the first communication device based on the instructions.

[0233] Optionally, in this example A, the instructions sent by the second communication device to the other map users based on the third information can be sent in a broadcast manner, so that the map user who has stored the model information of K radio map sub-models can send the fourth information to the first communication device based on the received instructions.

[0234] Optionally, the model information of any wireless map sub-model may include one or more of model hyperparameters, model structure, and model parameters.

[0235] In example B, the first communication device may send third information to other map users, and then the other map users may send fourth information to the first communication device based on the third information.

[0236] Optionally, in this example B, indication information can be shared in advance between different map users to indicate the model information of the wireless map sub-model stored locally by each map user. Subsequently, the first communication device can send the above-mentioned third information to the map user that has stored the model information of K radio map sub-models based on the collected indication information.

[0237] Optionally, in Example B, different map users can obtain the model information of the radio map sub-models through broadcasting. For example, the first communication device can broadcast the third information to other communication devices, so that the map users that have stored the model information of K radio map sub-models can send the fourth information to the first communication device based on the received third information.

[0238] In other words, the communication system may include multiple map users (i.e., multiple first communication devices) and a map server (i.e., a second communication device). For a certain map user, in addition to obtaining model information of K radio map sub-models through the map server, the model information of K radio map sub-models can also be obtained through other map users. In this way, the overhead of the map server in sending the layer model can be reduced.

[0239] Accordingly, the first communication device, as one of the map users, may also be used to store model information of some sub-models in the N radio map sub-models, and may provide the model information of the part of the sub-models to other map users. Figure 6 The method shown is described as an example. Figure 6 As shown, the method further includes:

[0240] S601. The third communication device sends fifth information, and the first communication device receives the fifth information accordingly. The fifth information is used to indicate P radio map sub-models, the P radio map sub-models being included in the N radio map sub-models, and P is a positive integer less than N.

[0241] S602. The first communication device sends sixth information, and the third communication device receives the sixth information accordingly. The sixth information includes model information of the P radio map sub-models, and the model information of the P radio map sub-models is used to determine radio information output by the P radio map sub-models.

[0242] Specifically, the first communication device may also interact with the fifth information and the sixth information to enable a recipient of the sixth information to obtain model information of the P radio map sub-models and determine the radio information output by the K radio map sub-models based on the model information of the P radio map sub-models. In this manner, the recipient of the sixth information can locally generate, construct, or obtain the radio map sub-model using the received model information of the radio map sub-model and perform processing based on the radio map sub-model to obtain the corresponding radio information.

[0243] It should be noted that the first communication device and the third communication device may be different map users. The implementation of steps S601 and S602 may refer to the implementation of steps S501 and S502 described above. For example, the third communication device may request model information for P radio map sub-models from the first communication device via the second communication device (i.e., the map server) to obtain the model information for the P radio map sub-models. For another example, the third communication device may request model information for P radio map sub-models from the first communication device via the communication process with the first communication device to obtain the model information for the P radio map sub-models.

[0244] Optionally, the M radio map sub-models are different from the P radio map sub-models. For example, the M radio map sub-models are not identical to the P radio map sub-models. For another example, any sub-model of the M radio map sub-models is different from any sub-model of the P radio map sub-models. For another example, at least one sub-model of the M radio map sub-models is different from any sub-model of the P radio map sub-models.

[0245] See also Figure 7 The present embodiment provides a communication device 700 that can implement the functions of the second communication device or the first communication device in the above method embodiment, thereby also achieving the beneficial effects of the above method embodiment. In the embodiment of the present application, the communication device 700 can be the first communication device (or the second communication device), or it can be an integrated circuit or component, such as a chip, within the first communication device (or the second communication device).

[0246] It should be noted that the transceiver unit 702 may include a sending unit and a receiving unit, which are respectively used to perform sending and receiving.

[0247] In one possible implementation, when the device 700 is used to execute the method executed by the first communication device in the aforementioned embodiment, the device 700 includes a processing unit 701 and a transceiver unit 702; the processing unit 701 is used to determine first information, and the transceiver unit 702 is used to send first information, and the first information is used to indicate M radio map sub-models, and the M radio map sub-models are included in N radio map sub-models of the radio map model, N is an integer greater than 1, and M is a positive integer less than or equal to N; wherein different radio map sub-models in the N radio map sub-models are used to output different radio information; at least two radio map sub-models in the N radio map sub-models are associated with each other; the transceiver unit 702 is also used to receive second information, and the second information is used to determine the radio information output by the M radio map sub-models.

[0248] In one possible implementation, when the device 700 is used to execute the method executed by the second communication device in the aforementioned embodiment, the device 700 includes a processing unit 701 and a transceiver unit 702; the transceiver unit 702 is used to receive first information, and the first information is used to indicate M radio map sub-models, and the M radio map sub-models are included in N radio map sub-models of the radio map model, N is an integer greater than 1, and M is a positive integer less than or equal to N; wherein different radio map sub-models in the N radio map sub-models are used to output different radio information; at least two radio map sub-models in the N radio map sub-models are associated with each other; the processing unit 701 is used to determine second information; the transceiver unit 702 is also used to send second information, and the second information is used to determine the radio information output by the M radio map sub-models.

[0249] It should be noted that, for details on the information execution process of the units of the above-mentioned communication device 700, please refer to the description in the method embodiment shown above in this application, and no further details will be given here.

[0250] See also Figure 8 , is another schematic structural diagram of a communication device 800 provided in this application, wherein the communication device 800 includes a logic circuit 801 and an input / output interface 802. The communication device 800 may be a chip or an integrated circuit.

[0251] in, Figure 7 The transceiver unit 702 shown may be a communication interface, which may be Figure 8 The input / output interface 802 in the embodiment may include an input interface and an output interface. Alternatively, the communication interface may be a transceiver circuit, which may include an input interface circuit and an output interface circuit.

[0252] Optionally, the logic circuit 801 is used to determine first information, and the input-output interface 802 is used to send first information, the first information is used to indicate M radio map sub-models, and the M radio map sub-models are included in N radio map sub-models of the radio map model, N is an integer greater than 1, and M is a positive integer less than or equal to N; wherein different radio map sub-models in the N radio map sub-models are used to output different radio information; at least two radio map sub-models in the N radio map sub-models are associated with each other; the input-output interface 802 is also used to receive second information, and the second information is used to determine the radio information output by the M radio map sub-models.

[0253] Optionally, the input-output interface 802 is used to receive first information, which is used to indicate M radio map sub-models, and the M radio map sub-models are included in N radio map sub-models of the radio map model, N is an integer greater than 1, and M is a positive integer less than or equal to N; wherein different radio map sub-models in the N radio map sub-models are used to output different radio information; at least two radio map sub-models in the N radio map sub-models are associated with each other; the logic circuit 801 is used to determine second information; the input-output interface 802 is also used to send second information, and the second information is used to determine the radio information output by the M radio map sub-models.

[0254] The logic circuit 801 and the input / output interface 802 may also execute other steps executed by the first communication device or the second communication device in any embodiment and achieve corresponding beneficial effects, which will not be described in detail here.

[0255] In one possible implementation, Figure 7 The processing unit 701 shown can be Figure 8 The logic circuit 801 in FIG.

[0256] Optionally, the logic circuit 801 may be a processing device, and the functions of the processing device may be partially or entirely implemented by software. The functions of the processing device may be partially or entirely implemented by software.

[0257] Optionally, the processing device may include a memory and a processor, wherein the memory is used to store a computer program, and the processor reads and executes the computer program stored in the memory to perform corresponding processing and / or steps in any one of the method embodiments.

[0258] Alternatively, the processing device may include only a processor. A memory for storing the computer program is located outside the processing device, and the processor is connected to the memory via circuits / wires to read and execute the computer program stored in the memory. The memory and processor may be integrated or physically separate.

[0259] Optionally, the processing device may be one or more chips, or one or more integrated circuits. For example, the processing device may be one or more field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), system-on-chips (SoCs), central processor units (CPUs), network processors (NPs), digital signal processors (DSPs), microcontroller units (MCUs), programmable logic devices (PLDs), or other integrated chips, or any combination of the above chips or processors.

[0260] See also Figure 9 , is the communication device 900 involved in the above embodiment provided in the embodiment of the present application, and the communication device 900 may specifically be the communication device as the terminal device in the above embodiment, Figure 9 The example shown is implemented by a terminal device (or a component in the terminal device).

[0261] Herein, a possible logical structure diagram of the communication device 900 is shown. The communication device 900 may include but is not limited to at least one processor 901 and a communication port 902 .

[0262] in, Figure 7 The transceiver unit 702 shown may be a communication interface, which may be Figure 9 The communication port 902 may include an input interface and an output interface. Alternatively, the communication port 902 may also be a transceiver circuit, which may include an input interface circuit and an output interface circuit.

[0263] Further optionally, the device may also include at least one of a memory 903 and a bus 904. In an embodiment of the present application, the at least one processor 901 is used to control and process the actions of the communication device 900.

[0264] In addition, the processor 901 can be a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. The processor can also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a digital signal processor and a microprocessor, and so on. Those skilled in the art will clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0265] It should be noted that Figure 9 The communication device 900 shown can be specifically used to implement the steps implemented by the terminal device in the aforementioned method embodiment and achieve the corresponding technical effects of the terminal device. Figure 9 The specific implementation of the communication device shown can refer to the description in the aforementioned method embodiment, and will not be repeated here.

[0266] See also Figure 10 , is a structural diagram of a communication device 1000 involved in the above embodiment provided in an embodiment of the present application. The communication device 1000 may specifically be a communication device as a network device in the above embodiment. Figure 10 The example shown is that the network device is implemented by the network device (or a component in the network device), wherein the structure of the communication device can refer to Figure 10 The structure shown.

[0267] The communication device 1000 includes at least one processor 1011 and at least one network interface 1014. Further optionally, the communication device also includes at least one memory 1012, at least one transceiver 1013 and one or more antennas 1015. The processor 1011, the memory 1012, the transceiver 1013 and the network interface 1014 are connected, for example, via a bus. In an embodiment of the present application, the connection may include various interfaces, transmission lines or buses, etc., which are not limited in this embodiment. The antenna 1015 is connected to the transceiver 1013. The network interface 1014 is used to enable the communication device to communicate with other communication devices through a communication link. For example, the network interface 1014 may include a network interface between the communication device and the core network device, such as an S1 interface, and the network interface may include a network interface between the communication device and other communication devices (such as other network devices or core network devices), such as an X2 or Xn interface.

[0268] in, Figure 7 The transceiver unit 702 shown may be a communication interface, which may be Figure 10 The network interface 1014 in the embodiment may include an input interface and an output interface. Alternatively, the network interface 1014 may also be a transceiver circuit, which may include an input interface circuit and an output interface circuit.

[0269] Processor 1011 is primarily used to process communication protocols and communication data, control the entire communication device, execute software programs, and process software program data, for example, to support the communication device in performing the actions described in the embodiments. The communication device may include a baseband processor and a central processing unit. The baseband processor is primarily used to process communication protocols and communication data, while the central processing unit is primarily used to control the entire terminal device, execute software programs, and process software program data. Figure 10 The processor 1011 in the embodiment can integrate the functions of a baseband processor and a central processing unit. Those skilled in the art will appreciate that the baseband processor and the central processing unit can also be independent processors interconnected via a bus or other technology. Those skilled in the art will appreciate that a terminal device can include multiple baseband processors to adapt to different network standards, and a terminal device can include multiple central processing units to enhance its processing capabilities. The various components of the terminal device can be connected via various buses. The baseband processor can also be expressed as a baseband processing circuit or a baseband processing chip. The central processing unit can also be expressed as a central processing circuit or a central processing chip. The function of processing the communication protocol and communication data can be built into the processor, or it can be stored in the memory in the form of a software program, and the processor executes the software program to implement the baseband processing function.

[0270] The memory is primarily used to store software programs and data. Memory 1012 can exist independently and be connected to processor 1011. Alternatively, memory 1012 and processor 1011 can be integrated together, for example, within a single chip. Memory 1012 can store program code for executing the technical solutions of the embodiments of the present application, and execution is controlled by processor 1011. The various computer program codes executed can also be considered drivers for processor 1011.

[0271] Figure 10 Only one memory and one processor are shown. In an actual terminal device, multiple processors and multiple memories may exist. Memory may also be referred to as a storage medium or storage device. The memory may be a storage element on the same chip as the processor, i.e., an on-chip storage element, or an independent storage element, which is not limited in the embodiments of the present application.

[0272] The transceiver 1013 can be used to support the reception or transmission of radio frequency signals between the communication device and the terminal. The transceiver 1013 can be connected to the antenna 1015. The transceiver 1013 includes a transmitter Tx and a receiver Rx. Specifically, one or more antennas 1015 can receive radio frequency signals. The receiver Rx of the transceiver 1013 is used to receive the radio frequency signal from the antenna, convert the radio frequency signal into a digital baseband signal or a digital intermediate frequency signal, and provide the digital baseband signal or digital intermediate frequency signal to the processor 1011 so that the processor 1011 can further process the digital baseband signal or digital intermediate frequency signal, such as demodulation and decoding. In addition, the transmitter Tx in the transceiver 1013 is also used to receive a modulated digital baseband signal or digital intermediate frequency signal from the processor 1011, convert the modulated digital baseband signal or digital intermediate frequency signal into a radio frequency signal, and transmit the radio frequency signal through one or more antennas 1015. Specifically, the receiver Rx can selectively perform one or more stages of down-mixing and analog-to-digital conversion on the RF signal to obtain a digital baseband signal or a digital intermediate frequency signal. The order of the down-mixing and analog-to-digital conversion processes is adjustable. The transmitter Tx can selectively perform one or more stages of up-mixing and digital-to-analog conversion on the modulated digital baseband signal or digital intermediate frequency signal to obtain a RF signal. The order of the up-mixing and digital-to-analog conversion processes is adjustable. The digital baseband signal and the digital intermediate frequency signal may be collectively referred to as digital signals.

[0273] The transceiver 1013 may also be referred to as a transceiver unit, a transceiver, a transceiver device, etc. Optionally, a device in the transceiver unit that implements a receiving function may be referred to as a receiving unit, and a device in the transceiver unit that implements a transmitting function may be referred to as a transmitting unit. That is, the transceiver unit includes a receiving unit and a transmitting unit. The receiving unit may also be referred to as a receiver, an input port, a receiving circuit, etc., and the transmitting unit may be referred to as a transmitter, a transmitter, or a transmitting circuit, etc.

[0274] It should be noted that Figure 10 The communication device 1000 shown can be specifically used to implement the steps implemented by the network device in the aforementioned method embodiment and achieve the corresponding technical effects of the network device. Figure 10 The specific implementation of the communication device 1000 can refer to the description in the aforementioned method embodiment, which will not be repeated here.

[0275] See also Figure 11 , which is a structural diagram of the communication device involved in the above embodiments provided in the embodiments of the present application.

[0276] It can be understood that the communication device 110 includes, for example, modules, units, elements, circuits, or interfaces, which are appropriately configured together to implement the technical solutions provided in this application. The communication device 110 can be the terminal device or network device described above, or a component (such as a chip) in these devices, used to implement the method described in the following method embodiment. The communication device 110 includes one or more processors 111. The processor 111 can be a general-purpose processor or a dedicated processor. For example, it can be 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 (such as a RAN node, terminal, or chip, etc.), execute software programs, and process data of software programs.

[0277] Optionally, in one design, the processor 111 may include a program 113 (sometimes also referred to as code or instruction), which may be executed on the processor 111 to enable the communication device 110 to perform the methods described in the following embodiments. In another possible design, the communication device 110 includes a circuit ( Figure 11 not shown).

[0278] Optionally, the communication device 110 may include one or more memories 112 on which a program 114 (sometimes also referred to as code or instructions) is stored. The program 114 can be run on the processor 111, so that the communication device 110 executes the method described in the above method embodiment.

[0279] Optionally, the processor 111 and / or the memory 112 may include AI modules 117 and 118, which are used to implement AI-related functions. The AI ​​module can be implemented through software, hardware, or a combination of software and hardware. For example, the AI ​​module may include a wireless intelligent control (RIC) module. For example, the AI ​​module may be a near real-time RIC or a non-real-time RIC.

[0280] Optionally, data may be stored in the processor 111 and / or the memory 112. The processor and the memory may be provided separately or integrated together.

[0281] Optionally, the communication device 110 may further include a transceiver 115 and / or an antenna 116. The processor 111 may also be referred to as a processing unit, and controls the communication device (e.g., a RAN node or terminal). The transceiver 115 may also be referred to as a transceiver unit, a transceiver, a transceiver circuit, or a transceiver, and is configured to implement the transceiver functions of the communication device through the antenna 116.

[0282] in, Figure 7 The illustrated processing unit 701 may be the processor 111 . Figure 7 The transceiver unit 702 shown may be a communication interface, which may be Figure 11 The transceiver 115 in the embodiment may include an input interface and an output interface. Alternatively, the transceiver 115 may be a transceiver circuit, which may include an input interface circuit and an output interface circuit.

[0283] An embodiment of the present application further provides a computer-readable storage medium, which is used to store one or more computer-executable instructions. When the computer-executable instructions are executed by a processor, the processor executes the method described in the possible implementation methods of the first communication device or the second communication device in the aforementioned embodiment.

[0284] An embodiment of the present application also provides a computer program product (or computer program). When the computer program product is executed by the processor, the processor executes the method that may be implemented by the above-mentioned first communication device or second communication device.

[0285] An embodiment of the present application also provides a chip system, which includes at least one processor for supporting a communication device to implement the functions involved in the possible implementation methods of the above-mentioned communication device. Optionally, the chip system also includes an interface circuit, which provides program instructions and / or data to the at least one processor. In one possible design, the chip system may also include a memory, which is used to store the necessary program instructions and data for the communication device. The chip system can be composed of chips, or it can include chips and other discrete devices, wherein the communication device can specifically be the first communication device or the second communication device in the aforementioned method embodiment.

[0286] An embodiment of the present application further provides a communication system, wherein the network system architecture includes the first communication device and the second communication device in any of the above embodiments.

[0287] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0288] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0289] In addition, the functional units in the various embodiments of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the contributing part or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

Claims

1. A communication method, characterized in that: include: Sending first information, where the first information is used to indicate M radio map sub-models, where the M radio map sub-models are included in N radio map sub-models of a radio map model, where N is an integer greater than 1 and M is a positive integer less than or equal to N; wherein different radio map sub-models in the N radio map sub-models are used to output different radio information; and at least two radio map sub-models in the N radio map sub-models are associated with each other; Second information is received, where the second information is used to determine radio information output by the M radio map sub-models.

2. The method according to claim 1, characterized in that The second information includes radio information output by the M radio map sub-models.

3. The method according to claim 2, characterized in that Before receiving the second information, the method further includes: Input data of at least one radio map sub-model among the M radio map sub-models is transmitted.

4. The method according to claim 1, wherein The second information includes model information of the M radio map sub-models.

5. The method according to claim 4, characterized in that After receiving the second information, the method further includes: Radio information output by the M radio map sub-models is determined based on the model information of the M radio map sub-models and input data of the M radio map sub-models.

6. The method according to any one of claims 1 to 5, characterized in that At least two of the N radio map sub-models are associated with each other, including: Among the N radio map sub-models, an input of at least one radio map sub-model includes output features of intermediate layers of one or more other radio map sub-models, and / or outputs of one or more other radio map sub-models.

7. The method according to any one of claims 1 to 6, characterized in that The first information includes indexes of the M radio map sub-models.

8. The method according to any one of claims 1 to 7, characterized in that The first information is determined based on model information of the N radio map sub-models; Among the model information of the N radio map sub-models, the model information of any radio map sub-model includes at least one of the following: an index of any of the radio map sub-models; Descriptive information of the input of any of the radio map sub-models; Descriptive information of the output of any of the radio map sub-models; The association relationship between any one of the radio map sub-models and other radio map sub-models; Model description information of any radio map sub-model; Mission information applied to the output of any radio map sub-model.

9. The method according to any one of claims 1 to 8, characterized in that The method further comprises: sending third information, where the third information is used to indicate K radio map sub-models, where the K radio map sub-models are included in the N radio map sub-models, and K is a positive integer less than N; receiving fourth information, the fourth information including model information of the K radio map sub-models; Radio information output by the K radio map sub-models is determined based on the model information of the K radio map sub-models and input data of the K radio map sub-models.

10. The method according to any one of claims 1 to 9, characterized in that The method further comprises: receiving fifth information, the fifth information being used to indicate P radio map sub-models, the P radio map sub-models being included in the N radio map sub-models, where P is a positive integer less than N; Sending sixth information, where the sixth information includes model information of the P radio map sub-models; wherein the model information of the P radio map sub-models is used to determine radio information output by the P radio map sub-models.

11. A communication method, characterized in that: include: receiving first information indicating M radio map sub-models, the M radio map sub-models being included in N radio map sub-models of a radio map model, where N is an integer greater than 1 and M is a positive integer less than or equal to N; wherein different radio map sub-models in the N radio map sub-models are configured to output different radio information; and at least two of the N radio map sub-models are associated with each other; Second information is sent, where the second information is used to determine radio information output by the M radio map sub-models.

12. The method according to claim 11, characterized in that The second information includes radio information output by the M radio map sub-models.

13. The method according to claim 12, characterized in that Before sending the second information, the method further includes: Input data of at least one radio map sub-model of the M radio map sub-models is received.

14. The method according to claim 11, characterized in that The second information includes model information of the M radio map sub-models.

15. The method according to claim 14, characterized in that The model information of the M radio map sub-models and the input data of the M radio map sub-models are used to determine the radio information output by the M radio map sub-models.

16. The method according to any one of claims 11 to 15, characterized in that At least two of the N radio map sub-models are associated with each other, including: Among the N radio map sub-models, an input of at least one radio map sub-model includes output features of intermediate layers of one or more other radio map sub-models, and / or outputs of one or more other radio map sub-models.

17. The method according to any one of claims 11 to 16, characterized in that The first information includes indexes of the M radio map sub-models.

18. The method according to any one of claims 11 to 17, characterized in that The first information is determined based on model information of the N radio map sub-models; Among the model information of the N radio map sub-models, the model information of any radio map sub-model includes at least one of the following: an index of any of the radio map sub-models; Descriptive information of the input of any of the radio map sub-models; Descriptive information of the output of any of the radio map sub-models; The association relationship between any one of the radio map sub-models and other radio map sub-models; Model description information of any radio map sub-model; Mission information applied to the output of any radio map sub-model.

19. The method according to any one of claims 11 to 18, characterized in that The method further comprises: receiving third information, the third information being used to indicate K radio map sub-models, the K radio map sub-models being included in the N radio map sub-models, where K is a positive integer less than N; Sending fourth information, the fourth information including model information of the K radio map sub-models; wherein the model information of the K radio map sub-models and input data of the K radio map sub-models are used to determine radio information output by the K radio map sub-models.

20. The method according to any one of claims 11 to 19, characterized in that The method further comprises: Sending fifth information, where the fifth information is used to indicate P radio map sub-models, where the P radio map sub-models are included in the N radio map sub-models, and P is a positive integer less than N; Receive sixth information, where the sixth information includes model information of the P radio map sub-models; wherein the model information of the P radio map sub-models is used to determine radio information output by the P radio map sub-models.

21. A communication device, characterized in that: Comprising means for performing the method according to any one of claims 1 to 20.

22. A communication device, characterized in that: The method comprises at least one processor coupled to a memory; the at least one processor is configured to execute the method according to any one of claims 1 to 20.

23. The communication device according to claim 22, wherein: The communication device is a chip or a chip system.

24. A readable storage medium, characterized in that The storage medium stores a computer program or instruction. When the computer program or instruction is executed by the communication device, the method according to any one of claims 1 to 20 is implemented.

25. A computer program product, characterized in that The method comprises instructions which, when executed on a computer, cause the computer to perform the method according to any one of claims 1 to 20.

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