WO2025208880A1 - Communication method, and related apparatus - Google Patents

Abstract

A communication method, and a related apparatus. In the method, first radio information received by a first communication apparatus is associated with communication state information of a terminal device and location information of N network devices sensed by the terminal device, wherein N is a positive integer. The N network devices are network devices sensed by the terminal device, which indicates that the communication process of the terminal device may be affected by communication signals from the N network devices. In this way, radio information obtained by a communication apparatus is determined on the basis of locations of N network devices, such that the impact caused by the interactions between the N network devices and a terminal device during communication processes can be taken into account, thereby improving the accuracy of the radio information. In addition, when N is greater than 1, the technical solution described above can take into account the mutual impacts between communication signals of different network devices among the N network devices, which can further improve the accuracy of the radio information.

Description

A communication method and related device

This application claims priority to the Chinese patent application filed with the State Intellectual Property Office on April 2, 2024, with application number 202410410666.8 and application name “A communication method and related device”, the entire contents of which are incorporated by reference into this application.

Technical Field

The present application relates to the field of communications, and in particular to a communication method and related devices.

Background Art

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.

However, how to improve the accuracy of radio information is a technical problem that needs to be solved urgently.

Summary of the Invention

The present application provides a communication method and related devices for improving the accuracy of radio information.

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 component of a 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 indicates the communication status information of the terminal device and the location information of N network devices, where N is a positive integer; wherein the N network devices are network devices perceived by the terminal device; and the first communication device receives first radio information, which is associated with the communication status information of the terminal device and the location information of the N network devices.

Based on the above solution, the first radio information received by the first communication device is associated with the communication status information of the terminal device and the location information of N network devices perceived by the terminal device, where N is a positive integer. The N network devices are network devices perceived by the terminal device, indicating that the communication process of the terminal device will be affected by the communication signals of the N network devices. In this way, the radio information obtained by the communication device is determined by the location of the N network devices, which can take into account the impact of the interaction between the N network devices and the terminal device during the communication process, thereby improving the accuracy of the radio information.

In addition, communication signals of different network devices may also affect each other. Therefore, when N is greater than 1, the above scheme can take into account the mutual influence between communication signals of different network devices among the N network devices, which can further improve the accuracy of radio information.

It should be noted that the first radio information is associated with the communication status information of the terminal device and the location information of the N network devices. It can be understood that the sender of the first radio information (for example, the second communication device) can determine the first radio information based on the communication status information of the terminal device and the location information of the N network devices, that is, the basis for determining the first radio information includes the communication status information of the terminal device and the location information of the N network devices.

Optionally, the communication status information includes at least one of the following: transmission power, modulation and coding scheme (MCS) level, number of retransmissions, data cache status information, location coordinate information, environmental information, and antenna configuration information.

In a possible implementation of the first aspect, the first radio information includes first indication information and second indication information; the first indication information is used to indicate M network devices among the N network devices, and the second indication information is used to indicate the second radio information corresponding to the communication between the device at the first position and the M network devices, the device at the first position includes the terminal device, and M is a positive integer less than or equal to N.

Based on the above solution, the first radio information received by the first communication device may include the first indication information and the second indication information, enabling the first communication device to determine M of the N network devices based on the first indication information, and to determine the second radio information corresponding to the communication between the device at the first location and the M network devices based on the second indication information. In this way, the first communication device can determine the M network devices communicating with the device at a specific location through the received first radio information and obtain the radio information corresponding to the M network devices, thereby reducing the implementation complexity of the first communication device.

In a possible implementation of the first aspect, the first radio information includes N pieces of information, the i-th piece of the N information indicates the radio information corresponding to the communication between the device at the first position and the i-th network device among the N network devices, the device at the first position includes the terminal device, and i ranges from 1 to N; the method also includes: the first communication device determines the third radio information corresponding to the communication between the device at the first position and K network devices among the N network devices based on the N pieces of information, where K is a positive integer less than or equal to N.

Based on the above solution, the first radio information received by the first communication device can include N pieces of information, each of which indicates the radio information of N network devices perceived by the terminal device. Subsequently, the first communication device can determine, based on the N pieces of information, the K network devices communicating with the device at the specific location and the radio information corresponding to these K network devices. This allows the first communication device to participate in the radio information determination process, simplifying the implementation complexity of the second communication device and reducing the load on the second communication device.

In a possible implementation of the first aspect, the first radio information includes third indication information and P pieces of information; the third indication information is used to indicate P network devices among the N network devices, and the j-th information among the P pieces of information is used to indicate the radio information corresponding to the communication between the device at the first position and the j-th network device among the P network devices, the device at the first position includes the terminal device, P is a positive integer less than or equal to N, and j ranges from 1 to P; the method also includes: the first communication device determines the fourth radio information corresponding to the communication between the device at the first position and the P network devices based on the third indication information and the P pieces of information.

Based on the above solution, the first radio information received by the first communication device may include third indication information and P pieces of information. The third indication information is used to indicate P network devices out of the N network devices perceived by the terminal device, and the P pieces of information are used to indicate the radio information of the P network devices. Thereafter, the first communication device may determine the P network devices communicating with the device at a specific location based on the third indication information and the P pieces of information, and determine the radio information corresponding to the P network devices. In this way, the first communication device can participate in the process of determining the radio information, simplifying the implementation complexity of the second communication device and reducing the load on the second communication device.

In a possible implementation of the first aspect, the first radio information includes fourth indication information; the fourth indication information is used to indicate Q network devices among the N network devices, where Q is a positive integer less than or equal to N; the method also includes: the first communication device determines the fifth radio information corresponding to the communication between the device at the first position and the Q network devices based on the fourth indication information, the communication status information of the terminal device, and the position information of the Q network devices, where the device at the first position includes the terminal device.

Based on the above solution, the first radio information received by the first communication device may include fourth indication information, which is used to indicate Q network devices out of the N network devices perceived by the terminal device. Thereafter, the first communication device may determine the Q network devices communicating with the device at a specific location based on the fourth indication information, the communication status information of the terminal device, and the location information of the Q network devices, and determine the radio information corresponding to the Q network devices. In this way, the first communication device can participate in the radio information determination process, simplifying the implementation complexity of the second communication device and reducing the load on the second communication device.

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 implement all or part of the functions of the communication device. In this method, the second communication device receives first information, which indicates the communication status information of the terminal device and the location information of N network devices, where N is a positive integer; wherein the N network devices are network devices perceived by the terminal device; and the second communication device sends first radio information, which is associated with the communication status information of the terminal device and the location information of the N network devices.

Based on the above solution, the first radio information sent by the second communication device is associated with the communication status information of the terminal device and the location information of N network devices perceived by the terminal device, where N is a positive integer. The N network devices are the network devices perceived by the terminal device, indicating that the communication process of the terminal device will be affected by the communication signals of the N network devices. In this way, the radio information obtained by the communication device is determined by the location of the N network devices, which can take into account the impact of the interaction between the N network devices and the terminal device during the communication process, thereby improving the accuracy of the radio information.

In addition, communication signals of different network devices may also affect each other. Therefore, when N is greater than 1, the above scheme can take into account the mutual influence between communication signals of different network devices among the N network devices, which can further improve the accuracy of radio information.

Optionally, the communication status information includes at least one of the following: transmission power, modulation and coding scheme MCS level, number of retransmissions, data cache status information, location coordinate information, environmental information, and antenna configuration information.

In a possible implementation of the second aspect, the first radio information includes first indication information and second indication information; the first indication information is used to indicate M network devices among the N network devices, and the second indication information is used to indicate the second radio information corresponding to the communication between the device at the first position and the M network devices, the device at the first position includes the terminal device, and M is a positive integer less than or equal to N.

Based on the above solution, the first radio information sent by the second communication device to the first communication device may include the first indication information and the second indication information, enabling the first communication device to determine M of the N network devices based on the first indication information, and to determine the second radio information corresponding to the communication between the device at the first location and the M network devices based on the second indication information. In this way, the first communication device can determine the M network devices communicating with the device at a specific location through the received first radio information and obtain the radio information corresponding to the M network devices, thereby reducing the implementation complexity of the first communication device.

In a possible implementation of the second aspect, the first radio information includes N pieces of information, the i-th piece of the N information indicates the radio information corresponding to the communication between the device at the first position and the i-th network device among the N network devices, the device at the first position includes the terminal device, and i ranges from 1 to N; wherein the N pieces of information are used to determine the third radio information corresponding to the communication between the device at the first position and K network devices among the N network devices, where K is a positive integer less than or equal to N.

Based on the above solution, the first radio information transmitted by the second communication device can include N pieces of information, each of which indicates the radio information of N network devices perceived by the terminal device. Subsequently, the first communication device can determine, based on the N pieces of information, the K network devices communicating with the device at the specific location and the corresponding radio information of these K network devices. This allows the first communication device to participate in the radio information determination process, simplifying the implementation complexity of the second communication device and reducing the load on the second communication device.

In a possible implementation of the second aspect, the first radio information includes third indication information and P pieces of information; the third indication information is used to indicate P network devices among the N network devices, and the j-th information among the P pieces of information is used to indicate the radio information corresponding to the communication between the device at the first position and the j-th network device among the P network devices, the device at the first position includes the terminal device, P is a positive integer less than or equal to N, and j ranges from 1 to P; wherein the third indication information and the P pieces of information are used to determine the fourth radio information corresponding to the communication between the device at the first position and the P network devices.

Based on the above solution, the first radio information sent by the second communication device may include third indication information and P pieces of information. The third indication information is used to indicate P network devices out of the N network devices perceived by the terminal device, and the P pieces of information are used to indicate the radio information of the P network devices. Thereafter, the first communication device can determine the P network devices communicating with the device at a specific location based on the third indication information and the P pieces of information, and determine the radio information corresponding to the P network devices. In this way, the first communication device can participate in the process of determining the radio information, simplifying the implementation complexity of the second communication device and reducing the load on the second communication device.

In a possible implementation of the second aspect, the first radio information includes fourth indication information; the fourth indication information is used to indicate Q network devices among the N network devices, where Q is a positive integer less than or equal to N; wherein the fourth indication information, the communication status information of the terminal device, and the position information of the Q network devices are used to determine fifth radio information corresponding to the communication between the device at the first position and the Q network devices, and the device at the first position includes the terminal device.

Based on the above solution, the first radio information sent by the second communication device may include fourth indication information, which is used to indicate Q network devices out of the N network devices perceived by the terminal device. Thereafter, the first communication device may determine the Q network devices communicating with the device at a specific location based on the fourth indication information, the communication status information of the terminal device, and the location information of the Q network devices, and determine the radio information corresponding to the Q network devices. In this way, the first communication device can participate in the radio information determination process, simplifying the implementation complexity of the second communication device and reducing the load on the second communication device.

In a third 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 second information, which indicates historical radio information between a device at a second position and _N1 network devices among _N0 network devices, where _N0 is a positive integer and _N1 is a positive integer less than or equal to _N0 ; the first communication device receives third information, which indicates sixth radio information of the device at the second position; wherein the third information is determined based on historical radio information between devices at one or more positions and some or all of the _N0 network devices, the one or more positions including the second position.

It is understood that the use of "second" in the aforementioned "second information" is merely to avoid confusion and to distinguish it from the "first information" in the first and second aspects throughout this application document, and does not serve any limiting purpose. Therefore, in the third aspect, "second information" may also be written as "first information." Similarly, other similar features in the third aspect and the fourth aspect below, such as "third" and "sixth" in "third information" and "sixth radio information," have no limiting purpose and are merely for distinction. Other similar features will not be described one by one.

Based on the above scheme, the third information received by the first communication device indicates the sixth radio information of the device at the second position, and the third information is determined based on the historical radio information between the devices at one or more positions and some or all of the N ₀ network devices. In a communication environment including N ₀ network devices, the sixth radio information received by the first communication device is determined based on the historical radio information generated by the communication between the devices at one or more positions in the communication environment and the N ₀ network devices. In this way, the radio information obtained by the communication device is determined by the historical radio information of the same network device set in the environment (the set includes N ₀ network devices) and the devices at one or more positions. It can take into account the influence of the interaction between the communication process between the multiple network devices included in the same network device set and the terminal device, and can also take into account the mutual influence between the communication signals of the multiple network devices included in the same network device set, so as to improve the accuracy of the radio information.

It should be understood that the first communication device may be a device at the second location, that is, the second information sent by the first communication device may include radio information of the historical communication process of the first communication device.

Optionally, the second information may further include identifications, indexes, etc. of the _N1 network devices.

In a possible implementation of the third aspect, the sixth radio information is radio information between the device at the second position and _N2 network devices among the _N0 network devices, where _N2 is a positive integer less than or equal to _N0 ; wherein the third information also includes fifth indication information, and the fifth indication information is used to indicate the _N2 network devices.

Based on the above solution, the sixth radio information received by the first communication device can indicate radio information between the device at the second location and a specific set of network devices (the set includes _N2 network devices out of _N0 network devices). Accordingly, the third information received by the first communication device can also include indication information indicating the _N2 network devices. In this way, the first communication device can obtain radio information between the first communication device and a specific portion or all of the network devices in the set of network devices (the set includes _N0 network devices).

In a fourth aspect, the present application provides a communication method, which is performed by a second communication device, which may be a communication device (such as a terminal device or a network device), or the second communication device may be a partial component in the communication device (such as a processor, a chip or a chip system, etc.), or the second 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 second communication device receives second information, which indicates historical radio information between a device at a second position and _N1 network devices among _N0 network devices, where _N0 is a positive integer and _N1 is a positive integer less than or equal to _N0 ; the second communication device sends third information, which indicates sixth radio information of the device at the second position; wherein the third information is determined based on historical radio information between devices at one or more positions and some or all of the _N0 network devices, the one or more positions including the second position.

Based on the above solution, the third information sent by the second communication device to the first communication device indicates the sixth radio information of the device at the second location, and the third information is determined based on the historical radio information between the devices at one or more locations and some or all of the _N0 network devices. In other words, in addition to the second information, the basis for determining the third information by the second communication device may also optionally include historical radio information sent by devices at one or more other locations. In a communication environment including _N0 network devices, the basis for determining the sixth radio information received by the first communication device includes historical radio information generated by communication between the devices at one or more locations in the communication environment and the _N0 network devices. In this way, the radio information obtained by the communication device is determined by the historical radio information of the same network device set in the environment (the set includes _N0 network devices) and the devices at one or more locations. This can take into account the impact of the interaction between the communication process between the multiple network devices included in the same network device set and the terminal device, and can also take into account the mutual influence between the communication signals of the multiple network devices included in the same network device set, thereby improving the accuracy of the radio information.

It should be understood that the first communication device may be a device at the second location, that is, the second information sent by the first communication device may include radio information of the historical communication process of the first communication device.

Optionally, the second information may further include identifications, indexes, etc. of the _N1 network devices.

In a possible implementation of the fourth aspect, the sixth radio information is radio information between the device at the second position and _N2 network devices among the _N0 network devices, where _N2 is a positive integer less than or equal to _N0 ; wherein the third information also includes fifth indication information, and the fifth indication information is used to indicate the _N2 network devices.

Based on the above solution, the sixth radio information sent by the second communication device to the first communication device can indicate radio information between the device at the second location and a specific set of network devices (the set includes _N2 network devices out of _N0 network devices). Accordingly, the third information received by the first communication device can also include indication information indicating the _N2 network devices. In this way, the first communication device can obtain radio information between the first communication device and a specific portion or all of the network devices in the set of network devices (the set includes _N0 network devices).

In a fifth aspect, 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; the transceiver unit is used to send first information, which indicates the communication status information of the terminal device and the location information of N network devices, where N is a positive integer; wherein the N network devices are network devices perceived by the terminal device; the transceiver unit is also used to receive first radio information, which is associated with the communication status information of the terminal device and the location information of the N network devices.

In the fifth aspect of this 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.

In a sixth aspect of the present application, a communication device is provided, which is a second communication device. The device includes a transceiver unit and a processing unit. The transceiver unit is used to receive first information, which indicates the communication status information of the terminal device and the location information of N network devices, where N is a positive integer; wherein the N network devices are network devices perceived by the terminal device; the processing unit is used to determine first radio information; the transceiver unit is also used to send first radio information, which is determined by associating with the communication status information of the terminal device and the location information of the N network devices.

In the sixth aspect of this 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.

In the seventh aspect of the present application, a communication device is provided, which is a first communication device, and includes a transceiver unit and a processing unit; the processing unit is used to determine second information; the transceiver unit is used to send second information, and the second information indicates historical radio information between the device at the second position and _N1 of _N0 network devices, _N0 is a positive integer, and _N1 is a positive integer less than or equal to _N0 ; the transceiver unit is also used to receive third information, and the third information indicates sixth radio information of the device at the second position; wherein the third information is determined based on historical radio information between the device at one or more positions and some or all of the _N0 network devices, and the one or more positions include the second position.

In the seventh 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 third aspect and achieve corresponding technical effects. For details, please refer to the third aspect and will not be repeated here.

In an eighth aspect of the present application, a communication device is provided, which is a second communication device, and includes a transceiver unit and a processing unit. The transceiver unit is used to receive second information, and the second information indicates historical radio information between the device at the second position and _N1 of _N0 network devices, where _N0 is a positive integer and _N1 is a positive integer less than or equal to _N0 ; the processing unit is used to determine third information; the transceiver unit is also used to send third information, and the third information indicates sixth radio information of the device at the second position; wherein the third information is determined based on historical radio information between the device at one or more positions and some or all of the _N0 network devices, and the one or more positions include the second position.

In the eighth 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 fourth aspect and achieve corresponding technical effects. For details, please refer to the fourth aspect and will not be repeated here.

In a ninth 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; and 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 fourth aspects. Optionally, the communication device may include the memory.

In a tenth 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 fourth aspects.

In an eleventh aspect, the present application provides a communication system, which includes the above-mentioned first communication device and second communication device.

A twelfth aspect of the present application 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 any possible implementation of any aspect of the first to fourth aspects above.

The thirteenth aspect of 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 fourth aspects above.

In a fourteenth 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 fourth 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.

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.

Among them, the technical effects brought about by any design method in the fifth to fourteenth aspects can refer to the technical effects brought about by the different design methods in the above-mentioned first to fourth aspects, and will not be repeated here.

BRIEF DESCRIPTION OF THE DRAWINGS

Figures 1a to 1c are schematic diagrams of a communication system provided by this application;

Figures 1d, 1e, and 2a to 2e are schematic diagrams of the AI processing process involved in this application;

FIG2 f is a schematic diagram of a radio map model involved in this application;

FIG3 is an interactive schematic diagram of the communication method provided by this application;

Figures 4, 5a, and 5b are schematic diagrams of the radio map model provided by this application;

FIG6a is an interactive schematic diagram of the communication method provided by the present application;

FIG6 b is a schematic diagram of an application scenario of the communication method provided in this application;

FIG6 c is a schematic diagram of a radio map model provided by this application;

7 to 11 are schematic diagrams of the communication device provided in this application.

DETAILED DESCRIPTION

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

(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.

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. For example, personal communication service (PCS) phones, cordless phones, Session Initiation Protocol (SIP) phones, wireless local loop (WLL) stations, personal digital assistants (PDAs), tablet computers, computers with wireless transceiver capabilities, and other devices. 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 (user agent), subscriber station (SS), customer premises equipment (CPE), terminal, user equipment (UE), mobile terminal (MT), etc.

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.

The terminal can 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 a smart city, a wireless terminal in a smart home, etc.

Furthermore, the terminal device may also be a terminal device in a communication system that evolves beyond the fifth-generation (5G) communication system (e.g., a sixth-generation (6G) communication system) or a terminal device in a future-evolved public land mobile network (PLMN). For example, a 6G network may further extend the form and functionality of 5G communication terminals. 6G terminals include, but are not limited to, vehicles, cellular network terminals (with integrated satellite terminal functionality), drones, and Internet of Things (IoT) devices.

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.

(2) Network equipment: It can be a device in a wireless network. For example, a network device 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 NodeB (eNB), radio network controller (RNC), NodeB (NB), home base station (e.g., home evolved NodeB, or home NodeB, HNB), baseband 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.

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

In another possible scenario, multiple RAN nodes collaborate to assist terminals in achieving wireless access, with different RAN nodes implementing portions of the base station's functionality. For example, a 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 separate or included in the same network element, such as a baseband unit (BBU). The RU can be included in a radio frequency device or radio unit, such as a remote radio unit (RRU), an active antenna unit (AAU), or a remote radio head (RRH).

In different systems, CU (or CU-CP and CU-UP), DU or RU may 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 uses CU, CU-CP, CU-UP, DU and RU as examples for description. Any unit among the 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.

Communication between access network equipment and terminal devices follows a specific protocol layer structure. This 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: radio resource control (RRC) layer, packet data convergence protocol (PDCP) layer, radio link control (RLC) layer, media access control (MAC) layer, or physical (PHY) layer. The user plane protocol layer may include at least one of the following: service data adaptation protocol (SDAP) layer, PDCP layer, RLC layer, MAC layer, or physical layer.

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

Table 1

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.

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

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.

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.

(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.

Furthermore, these values and parameters can be changed or updated.

(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.

(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.

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.

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.

(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.

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.

This application can be applied to a long-term evolution (LTE) system, a new radio (NR) system, or a communication system evolved after 5G (e.g., 6G). The communication system includes at least one network device and/or at least one terminal device.

Please refer to Figure 1a, which is a schematic diagram of a communication system in this application. Figure 1a exemplarily illustrates a network device and six terminal devices, namely terminal device 1, terminal device 2, terminal device 3, terminal device 4, terminal device 5, and terminal device 6. In the example shown in Figure 1a, 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.

As shown in Figure 1a, 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.

For example, in Figure 1a, terminal devices 4 and 6 can also form a communication system. Terminal device 5 serves as a network device, i.e., the AI configuration information sending entity; terminal devices 4 and 6 serve 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.

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

As shown in Figure 1b, 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 different terminal devices can also perform communication-related services and AI-related services.

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

The technical solution provided in this application can be applied to wireless communication systems (for example, the systems shown in Figures 1a, 1b, or 1c). For example, an AI network element can be introduced into the communication system provided in this application to implement some or all AI-related operations. The AI network element can also be referred to as an AI node, AI device, AI entity, AI module, AI model, or 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 (OAM) to implement AI-related functions. The OAM can be a network management device for a core network device and/or a network management device for an access network device. Alternatively, the AI network element can also be an independently set network element 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.

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

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 implement 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).

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

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.

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.

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.

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.

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.

As shown in Figure 1d, it is a schematic diagram of the neuron structure. Assume that the input of the neuron is x = [x ₀ , x ₁ ,…, x _n ], and the weights corresponding to each input are w = [w ₀ , w ₁ ,…, w _n ], where n is a positive integer, and w _i and _xi can be various possible types such as decimals, integers (such as 0, positive integers or negative integers, etc.), or complex numbers. w _i is used as the weight of _xi to weight _xi . The bias for weighted summation of input values according to the weights 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), 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.

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.

An example of a neural network is a deep neural network (DNN). Depending on how the network is constructed, DNNs can include feedforward neural networks (FNNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs).

Figure 1e is a schematic diagram of a FNN network. A characteristic of FNN networks is that neurons in adjacent layers are fully connected. This characteristic typically requires a large amount of storage space and results in high computational complexity.

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.

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.

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.

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.

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

1. Fully connected neural network, also called multilayer perceptron (MLP).

As shown in Figure 2a, 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.

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:
h＝f(wx+b).

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

Alternatively, the output of the neural network can be recursively expressed as:
y=f _n (w _n f _n-1 (…)+b _n ).

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

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.

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

As shown in Figure 2b, the error can be backpropagated, and the neural network parameters (including w and b) can be iteratively optimized using gradient descent until the loss function reaches a minimum, which is the "better point (e.g., optimal point)" in Figure 2b. It is understood that the neural network parameters corresponding to the "better point (e.g., optimal point)" in Figure 2b can be used as the neural network parameters in the trained AI model information.

Alternatively, the gradient descent process can be expressed as:

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.

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

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

Among them, _wij is the weight of node j connecting to node i, and _si is the weighted sum of the inputs on node i.

2. Federated Learning (FL).

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.

As shown in Figure 2d, 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:

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

(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.

(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.

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

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.

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.

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

As shown in Figure 2e, consider a fully distributed system without a central node. The design goal f(x) of a decentralized learning system is generally the mean of the goals _fi (x) of each node, 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 _fi (x) to calculate the 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:

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 (where αk is the parameter of the local model of node i that is not updated), _αk represents the tuning coefficient, N _i is the set of neighboring nodes of node i, and |N _i | represents the number of elements in the set of neighboring nodes of node i, that is, the number of neighboring nodes of node i. Through information exchange between nodes, the decentralized learning system will eventually learn a unified model.

The technical solutions provided in this application can be applied to wireless communication systems (e.g., the systems shown in Figures 1a and 1b). In wireless communication systems, communication nodes generally have both signal transceiver capabilities and computing capabilities. For example, network devices with computing capabilities primarily provide computing power to support signal transceiver capabilities (e.g., performing signal transmission and reception processing) to enable communication between the network device and other communication nodes.

In addition to processing communication signals within the 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, and dynamic spectrum access.

Generally, the currently widely used radio map is a single-user single-base station radio map, that is, the input is the information of a specific user (such as location coordinates, environmental information, etc.), and the output is the radio-related information of the user's location.

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

However, in actual communication scenarios, a user's communication process is affected by the network devices in the communication environment. The impact of different network devices may be the same or different, with some network devices having a greater impact on the user's communication process, while others have a smaller impact. In the implementation shown in Figure 2f, the radio map model focuses on the status information of a single user and does not consider the impact/interference caused by the communication signals of network devices in the communication environment. This results in low accuracy of the radio information obtained by the above solution. Therefore, how to improve the accuracy of radio information is a technical problem that needs to be solved urgently.

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.

Please refer to FIG3 , which is a schematic diagram of an implementation of the communication method provided in this application. The method includes the following steps.

It should be noted that, in FIG3 , the method is illustrated by taking the first communication device and the second communication device as the execution entities of the interaction diagram as an example, but this application does not limit the execution entities of the interaction diagram. For example, in FIG3 , the execution entity of the method can be replaced by a chip, chip system, processor, logic module, or software in the communication device.

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-party server. For example, the network device may be an access network device, a core network device, etc.

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.

As another example, the first communication device and the second communication device are both terminal devices, that is, the solution shown in Figure 3 can be applied to the sidelink communication scenario.

S301. A first communication device sends first information, and a second communication device receives the first information. The first information indicates communication status information of a terminal device and location information of N network devices, where N is a positive integer.

As can be seen from the foregoing, the second communication device can be a network device or a terminal device. In the case where the second communication device is a network device, the second communication device can be one of N network devices, or the second communication device can be different from the N network devices, which is not limited here.

Optionally, in step 301, the first communication apparatus may transmit the communication status information of the terminal device and the location information of N network devices through one or more transmission processes. For example, the first communication apparatus may first transmit the communication status information of the terminal device and then transmit the location information of the N network devices. For another example, the first communication apparatus may first transmit the location information of the N network devices and then transmit the communication status information of the terminal device. For another example, the first communication apparatus may transmit a message/signaling containing the communication status information of the terminal device and the location information of the N network devices.

It should be understood that the location information of N network devices is used to indicate the locations of the N network devices, wherein the location information can indicate the locations of the N network devices in a variety of ways. For example, the location information can include location parameters of the N network devices (e.g., coordinate information, longitude and latitude information, etc.). In another example, the location information can include the identifiers of the N network devices, so that a recipient of the location information can determine the locations of the N network devices based on the identifiers of the N network devices.

S302: The second communication device sends first radio information, and correspondingly, the first communication device receives the first radio information, wherein the first radio information is associated with the communication status information of the terminal device and the location information of the N network devices.

It should be noted that the first radio information is associated with the communication status information of the terminal device and the location information of the N network devices. It can be understood that the sender of the first radio information (for example, the second communication device) can determine the first radio information based on the communication status information of the terminal device and the location information of the N network devices, that is, the basis for determining the first radio information includes the communication status information of the terminal device and the location information of the N network devices.

Optionally, for the second communication device, the communication status information of the terminal device and the location information of N network devices can be used as inputs to a radio map model, and the radio map model is processed to obtain radio information (e.g., first radio information). For example, the radio information may include one or more of path loss information, signal strength information, interference information, and power information. The radio map model (or sub-model) can be a mathematical model, an AI model, a neural network, a neural network model, an AI neural network model, a machine learning model, an AI processing model, etc.

As an example of the method shown in FIG3 , as shown in FIG4 , the second communication device can determine the radio information through a radio map model (denoted as “RF map” in the figure). The input of the model may include the communication status information of the terminal device (denoted as x in the figure) and the location information of N network devices (the figure takes the N network devices including three network devices as an example, and the location information of these three network devices is denoted as y1, y2, and y3 respectively); after being processed by the model, the radio information (denoted as (z) in the figure) is obtained. In other words, the radio information of the communication device is determined by the locations of the N network devices, and can take into account the impact of the interaction between the N network devices and the terminal device during the communication process to improve the accuracy of the radio information.

Optionally, in the example shown in Figure 4 , when training the radio map model, a maximum number of network devices that the model can support can be specified. Subsequently, during model use, if the actual number of network devices is less than the maximum number of supported network devices, the radio map model input can be padded with zeros. If the actual number of network devices is greater than the maximum number of supported network devices, network device selection can be performed to select some network devices for use in the radio map model (e.g., network devices providing higher quality of service (QoS) or providing higher priority service types).

Optionally, as can be seen from the above process, the input of the radio map model may include communication status information of the communication device (such as communication status information of the terminal 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, and the accuracy of the radio information can be improved. 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, and the accuracy of the radio information can be further improved.

Based on the scheme shown in Figure 3, the first radio information received by the first communication device in step S302 is associated with the communication status information of the terminal device and the location information of N network devices perceived by the terminal device, where N is a positive integer. The N network devices are network devices perceived by the terminal device, indicating that the communication process of the terminal device will be affected by the communication signals of the N network devices. In this way, the radio information obtained by the communication device is determined by the locations of the N network devices, which can take into account the impact of the interaction between the N network devices and the terminal device during the communication process, thereby improving the accuracy of the radio information.

In addition, communication signals of different network devices may also affect each other. Therefore, when N is greater than 1, the above scheme can take into account the mutual influence between communication signals of different network devices among the N network devices, which can further improve the accuracy of radio information.

Optionally, in the scheme shown in FIG3 , the factors used to reflect the influence of N network devices on the first communication device may include the location information of the N network devices. The influencing factors may also include other information, such as the access load of the N network devices, the transmission power of the N network devices, etc. Accordingly, the location information of the N network devices may be replaced with other implementations. For example, the location information of the N network devices may indicate one or more of the location information of the N network devices, the access load of the N network devices, and the transmission power of the N network devices. In this way, the influence caused by the interaction of the communication process between the N network devices and the terminal device can also be taken into account to improve the accuracy of the radio information.

As an example, in the method shown in Figure 3, the first communication device can be the requester of radio information, and the second communication device can be the provider of 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.).

Taking the scenario shown in FIG4 as an example, the first information is used as the input of the radio map model. In the case where the first information indicates the communication status information of the terminal device, the “x” shown in FIG4 may represent the communication status information of the terminal device.

As an implementation example, as shown in Figure 5a, the RF map shown in Figure 4 can include the following four parts:

Part 1: Fundamental Radio Map Model (RF fundamental map in the figure). This model takes as input the state information of the communication device and the location information of N base stations (here, N network devices are 3 base stations, for example), and outputs the corresponding radio information of a single base station (denoted as z1, z2, and z3 in the figure).

Optionally, in part 1, the number of RF fundamental maps can be one or more.

For example, the number is 1, and accordingly, the 1 RF fundamental map can determine z1 based on the input x and y1, determine z2 based on the input x and y2, and determine z3 based on the input x and y3. In this way, the part 1 can output the single base station radio information corresponding to N base stations.

For another example, the number is greater than 1. Accordingly, part of the RF fundamental map may determine the single base station radio information of a base station based on the location information of the base station and the communication status information of the communication device, or part of the RF fundamental map may determine the single base station radio information corresponding to multiple base stations based on the location information of multiple base stations and the communication status information of the communication device.

For another example, the number is N, that is, the input of the i-th (i is 1 to N) RF fundamental map among the N RF fundamental maps includes x and the location information of the i-th base station among the N base stations, and the output of the i-th RF fundamental map includes the single base station radio information of the i-th base station.

As can be seen from the above examples, in the example shown in Figure 5a, the RF fundamental map can be processed based on the status information of the communication device input once and the location information of N base stations to obtain the radio information of a single base station; or, the RF fundamental map can also be processed based on information input more than once (the information input each time indicates the status information of the communication device and the location information of one or more base stations among the N base stations) to obtain the radio information of a single base station, which is not limited here.

Part 2: Base Station Selection. The base station selection part receives input including radio information of N base stations and outputs a base station selection result. In the example shown in FIG5a , the selection results are the first base station ( y1 ) and the third base station ( y3 ) among the three base stations.

Part 3: Parameter Control. The parameter control part receives inputs including the single-base station radio information of N base stations and the selection result output by the base station selection part, and outputs the single-base station radio information of some or all of the selected base stations among the N base stations. In the example shown in Figure 5a, the single-base station radio information of some or all of the selected base stations among the N base stations is z1 and z3 corresponding to the first base station (y1) and the third base station (y3), respectively.

Part 4: Parameter Merging: The parameter merging part receives as input the radio information of some or all selected base stations among the N base stations (i.e., z1 and z3) output by the parameter control part, and outputs the merged radio information (denoted as z).

Optionally, the execution order of the various parts shown in FIG5a may be swapped, which will be described below using the example shown in FIG5b.

As another implementation example, as shown in Figure 5b, the RF map shown in Figure 4 can include the following four parts:

Part A, Base Station Selection. The base station selection section receives inputs including the communication device's status information and the location information of N base stations (herein, N network devices are illustrated as three (N=3) base stations). It outputs a base station selection result. In the example shown in FIG5b , the selection results are for the first base station ( y1 ) and the third base station ( y3 ) among the three base stations.

Part B: Parameter Control. The parameter control part receives input including the location information of N base stations (here, the N network devices are 3 (N=3) base stations as an example) and the selection result output by the base station selection part. The output includes the location information of some or all of the selected base stations among the N base stations. In the example shown in Figure 5b, the location information of some or all of the selected base stations among the N base stations is the location information of the first base station (y1) and the location information of the third base station (y3).

Part C, fundamental radio map model (denoted as RF fundamental map in the figure). This fundamental radio map model takes as input the location information of some or all of the N base stations selected from the reference control output and the status information of the communication device, and outputs single-base station radio information (denoted as z1 and z3 in the figure) for some or all of the N base stations selected from the reference control output.

Similarly, in the example shown in FIG5b , the RF fundamental map can be processed based on the status information of the communication device input once and the location information of N base stations to obtain the radio information of a single base station; or, the RF fundamental map can also be processed based on information input more than once (each input includes the status information of the communication device and the location information of one or more base stations among the N base stations) to obtain the radio information of a single base station, which is not limited here.

Optionally, the implementation process of Part C may refer to the implementation process of Part 1 above.

Part D, Parameter Merging: The input of the parameter merging part includes the single base station radio information (i.e., z1, z3) of some or all base stations selected from the N base stations output by Part C, and the output is the merged radio information (denoted as z).

It should be noted that any part of the above-mentioned parts 1 to 4 and parts A to D can be implemented in a variety of ways, for example, mathematical models, AI models, neural networks, neural network models, AI neural network models, machine learning models, AI processing models, etc.

It should be noted that in the examples shown in Figures 5a and 5b, the radio information (z) ultimately output by RF map can be used to represent the radio information between a device at a specific location and one or more network devices. Specifically, when the number of the one or more network devices is greater than or equal to two (for example, in the examples shown in Figures 5a and 5b, where the radio information is represented as the first base station and the second base station), the radio information (z) ultimately output by RF map can be understood as the radio information during the joint communication process between the device at the specific location and two or more network devices.

Furthermore, as previously mentioned, the first communication device can be a map user requesting radio information, and the second communication device can be a map server providing radio information. To enhance the flexibility of the solution, all four components (Parts 1 through 4 in Figure 5a (or Parts A through D in Figure 5b)) can be deployed entirely on the second communication device, or several components can be deployed on the first communication device. This will be described below using some implementation examples.

As an implementation example (denoted as Example A), in the above scenario, all four parts, Part 1 to Part 4 in FIG5a (or Part A to Part D in FIG5b ), can be deployed in the second communication device.

In example A, the first radio information received by the first communication device in step S302 includes first indication information and second indication information; the first indication information is used to indicate M network devices among the N network devices, and the second indication information is used to indicate the second radio information corresponding to the communication between the device at the first position and the M network devices, the device at the first position includes the terminal device, and M is a positive integer less than or equal to N.

In other words, in Example A, the first communication device can determine M of the N network devices based on the first indication information in the first radio information, and determine the second radio information corresponding to the communication between the device at the first location and the M network devices based on the second indication information in the first radio information. In this way, the first communication device can determine the M network devices communicating with the device at a specific location through the received first radio information and obtain the radio information corresponding to the M network devices, thereby reducing the implementation complexity of the first communication device.

Alternatively, in Example A, the four parts, Part 1 to Part 4 in FIG. 5 a (or Part A to Part D in FIG. 5 b ), may be considered as internal modules of one radio map model, or the four parts may be merged.

As another implementation example (denoted as Example B), in the above scenario, part 1 in FIG5a can be deployed in the second communication device, and the other parts can be deployed in the first communication device.

In Example B, the first radio information received by the first communication apparatus in step S302 includes N pieces of information, where the i-th piece of the N information indicates radio information corresponding to communication between a device at a first position and an i-th network device among the N network devices, the device at the first position includes the terminal device, and i ranges from 1 to N. Accordingly, after step S302, the method shown in FIG3 further includes: determining, by the first communication apparatus, third radio information corresponding to communication between the device at the first position and K network devices among the N network devices based on the N pieces of information, where K is a positive integer less than or equal to N.

In other words, in Example B, the first communication device can obtain N pieces of information based on the received first radio information. These N pieces of information are used to indicate the radio information of N network devices perceived by the terminal device. Subsequently, the first communication device can determine, based on these N pieces of information, the K network devices communicating with the device at the specific location and the radio information corresponding to these K network devices. In this way, the first communication device can participate in the process of determining the radio information, simplifying the implementation complexity of the second communication device and reducing the load on the second communication device.

Alternatively, in Example B, the three parts 2 to 4 in FIG. 5 a may be considered as internal modules of a radio map model, or the three parts may be merged.

As another implementation example (denoted as Example C), in the above scenario, parts 1 to 3 in Figure 5a (or parts A to C in Figure 5b) can be deployed in the second communication device, and part 4 (or part D) can be deployed in the first communication device.

In Example C, the first radio information received by the first communications apparatus in step S302 includes third indication information and P pieces of information; the third indication information is used to indicate P of the N network devices, and the jth piece of information among the P pieces of information is used to indicate radio information corresponding to communication between a device at a first position and the jth piece of network device among the P network devices, where the device at the first position includes the terminal device, P is a positive integer less than or equal to N, and j ranges from 1 to P. Accordingly, after step S302, the method shown in FIG3 further includes: the first communications apparatus determining, based on the third indication information and the P pieces of information, fourth radio information corresponding to communication between the device at the first position and the P network devices.

In other words, in Example C, the first communication device can obtain the third indication information and P pieces of information based on the received first radio information. Subsequently, the first communication device can determine the P network devices communicating with the device at the specific location based on the third indication information and the P pieces of information, and determine the radio information corresponding to the P network devices. In this way, the first communication device can participate in the radio information determination process, simplifying the implementation complexity of the second communication device and reducing the load on the second communication device.

Alternatively, in Example C, the three parts, Part 1 to Part 3 in FIG. 5 a (or Part A to Part C in FIG. 5 b ), may be considered as internal modules of one radio map model, or the three parts may be merged.

As another implementation example (denoted as Example D), in the above scenario, part 2 in FIG5a can be deployed in the second communication device, and the other parts can be deployed in the first communication device.

In Example D, the first radio information received by the first communications apparatus in step S302 includes fourth indication information; the fourth indication information is used to indicate Q network devices among the N network devices, where Q is a positive integer less than or equal to N. Accordingly, after step S302, the method shown in FIG3 further includes: the first communications apparatus determining, based on the fourth indication information, the communication state information of the terminal device, and the location information of the Q network devices, fifth radio information corresponding to communication between a device at a first location and the Q network devices, where the device at the first location includes the terminal device.

In other words, in Example D, the first communication device can obtain fourth indication information based on the received first radio information. This fourth indication information is used to indicate Q network devices out of the N network devices perceived by the terminal device. Thereafter, the first communication device can determine the Q network devices communicating with the device at a specific location based on this fourth indication information, the communication status information of the terminal device, and the location information of the Q network devices, and determine the radio information corresponding to these Q network devices. In this way, the first communication device can participate in the process of determining the radio information, simplifying the implementation complexity of the second communication device and reducing the load on the second communication device.

Alternatively, in Example D, the three parts, Part 1, Part 3, and Part 4 in FIG5 a , may be considered as internal modules of a radio map model, or the three parts may be merged.

Please refer to FIG6a, which is a schematic diagram of an implementation of the communication method provided in this application. The method includes the following steps.

It should be noted that, in FIG6a, the method is illustrated by taking the first communication device and the second communication device as the execution entities of the interaction diagram as an example, but this application does not limit the execution entities of the interaction diagram. For example, in FIG6a, the execution entity of the method can be replaced by a chip, chip system, processor, logic module, or software in the communication device.

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-party server. For example, the network device may be an access network device, a core network device, etc.

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.

As another example, the first communication device and the second communication device are both terminal devices, that is, the solution shown in Figure 6a can be applied to the sidelink communication scenario.

Similarly, in the method shown in Figure 6a, 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.).

S601. A first communication device sends second information, and a second communication device receives the second information. The second information indicates historical radio information between the device at the second location and _N1 of the _N0 network devices, where _N0 is a positive integer and _N1 is a positive integer less than or equal to _N0 .

Optionally, the second information indicating historical radio information between the device at the second location and _N1 of the _N0 network devices may include: the second information includes one piece of information indicating historical radio information of a joint communication process between the device at the second location and _N1 of the _N0 network devices. Alternatively, the second information may include _N1 pieces of information, with the jth piece of information in the _N1 pieces of information indicating historical radio information of a communication process between the device at the second location and the jth piece of network device in the _N1 pieces of network devices. Alternatively, the second information may include multiple pieces of information, with any one piece of information indicating historical radio information of a communication process between the device at the second location and one or more of the _N1 network devices.

S602. The second communication device sends third information, and the first communication device receives the third information accordingly. The third information indicates sixth radio information of the device at the second location; the third information is determined based on historical radio information between devices at one or more locations, including the second location, and some or all of the _N0 network devices.

Based on the scheme shown in Figure 6a, the third information sent by the second communication device to the first communication device in step S602 indicates the sixth radio information of the device at the second location, and the third information is determined based on the historical radio information between the devices at one or more locations and some or all of the _N0 network devices. In other words, in addition to the second information, the basis for determining the third information by the second communication device may also optionally include historical radio information sent by devices at one or more other locations. In a communication environment including _N0 network devices, the basis for determining the sixth radio information received by the first communication device includes historical radio information generated by communication between the devices at one or more locations in the communication environment and the _N0 network devices. In this way, the radio information obtained by the communication device is determined by the historical radio information of the same network device set in the environment (the set includes _N0 network devices) and the devices at one or more locations. This can take into account the impact of the interaction between the communication process between the multiple network devices included in the same network device set and the terminal device, and can also take into account the mutual influence between the communication signals of the multiple network devices included in the same network device set, thereby improving the accuracy of the radio information.

It should be understood that the first communication device may be a device at the second location, that is, the second information sent by the first communication device may include radio information of the historical communication process of the first communication device.

Optionally, the second information may further include identifications, indexes, etc. of the _N1 network devices.

In a possible implementation of the method shown in Figure 6a, the sixth radio information is radio information between the device at the second position and _N2 network devices among the _N0 network devices, where _N2 is a positive integer less than or equal to _N0 ; wherein the third information also includes fifth indication information, and the fifth indication information is used to indicate the _N2 network devices.

In other words, the sixth radio information received by the first communication device may indicate radio information between the device at the second location and a specific set of network devices (the set includes _N2 network devices out of _N0 network devices). Accordingly, the third information received by the first communication device may also include indication information indicating the _N2 network devices. In this way, the first communication device can obtain radio information between the first communication device and a specific portion or all of the network devices in the set of network devices (the set includes _N0 network devices).

As an example of the method shown in FIG6a , in the scenario shown in FIG6b , the N ₀ network devices in the rectangular area shown in FIG6b are network devices 1, 2, 3, 4, and 5. The small rectangles in the rectangular area represent obstacles in the environment (e.g., building outlines). For ease of understanding, the following description uses the location points a and b contained in the rectangular area as an example.

Correspondingly, as shown in Figure 6c, the second communication device can determine the radio information through a radio map model (represented as "RF map" in the figure). The input of the model may include the historical radio information of location point a (for example, the radio information when location point a is connected to network devices 1, 3, and 5 (represented as z _a1 , z _a3 , z _a5 )), and the historical radio information of location point b (the radio information when location point b is connected to network devices 2, 3, and 4 (represented as z _b2 , z _b3 , z _b4 )). After processing by the radio map model, the output obtained may include the network device selection results and corresponding radio information of location points a and b in the current multi-network device system.

Optionally, in Figure 6c, the input of the radio map model may also include one or more masks, which may be preconfigured parameters used to represent information that is currently missing (or currently to be completed) in the radio map model. For example, the mask between _za1 and _za3 represents _za2 that has not been collected historically (i.e., the radio information when location point a is connected to network device 2), and the mask between _za3 and _za5 represents _za4 that has not been collected historically (i.e., the radio information when location point a is connected to network device 4).

Optionally, in the radio map model shown in FIG6c , when the input of the radio map model does not include one or more of the above-mentioned masks, the historical radio information may include the location point and the identifier of the network device (for example, radio information z _a1 may include the coordinates of location point a and the identifier of network device 2). Alternatively, in the radio map model shown in FIG6c , the input information also includes the location point and the identifier of the network device. In this way, the location point and network device corresponding to the historical radio information can be specified, thereby improving the accuracy of the radio information obtained by the radio map model through richer input information.

In the method shown in FIG6a , the first communication device may serve as a device at location a, and the second information sent by the first communication device may include historical radio information of location a (e.g., z _a1 , z _a3 , z _a5 ) Alternatively, the first communication device may serve as a device at location a, and the second information sent by the first communication device may include historical radio information of location b (e.g., z _b2 , z _b3 , z _b4 ) .

It can be understood that in the examples shown in Figures 6b and 6c, the input and output of the radio map model are both for the same group of network devices in the same communication environment (the same group of network devices is the _N0 network devices described above, including network devices 1, 2, 3, 4, and 5 in Figure 6b).

Referring to Figure 7, an embodiment of the present application provides a communication device 700. This communication device 700 can implement the functions of the second communication device or the first communication device in the above-mentioned method embodiment, thereby also achieving the beneficial effects of the above-mentioned method embodiment. In this 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).

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.

In one possible implementation, when the device 700 is used to execute the method executed by the first communication device in the embodiment of the method shown in Figure 3 above, the device 700 includes a processing unit 701 and a transceiver unit 702; the processing unit 701 is used to determine the first information; the transceiver unit 702 is used to send the first information, which indicates the communication status information of the terminal device and the location information of N network devices, where N is a positive integer; wherein the N network devices are network devices perceived by the terminal device; the transceiver unit 702 is also used to receive first radio information, which is associated with the communication status information of the terminal device and the location information of the N network devices.

In one possible implementation, when the device 700 is used to execute the method executed by the second communication device in the embodiment shown in the method of Figure 3 above, the device 700 includes a processing unit 701 and a transceiver unit 702; the transceiver unit 702 is used to receive first information, which indicates the communication status information of the terminal device and the location information of N network devices, where N is a positive integer; wherein the N network devices are network devices perceived by the terminal device; the processing unit 701 is used to determine first radio information; the transceiver unit 702 is also used to send first radio information, which is determined by associating the communication status information of the terminal device and the location information of the N network devices.

In one possible implementation, when the device 700 is used to execute the method executed by the first communication device in the embodiment shown in the method of Figure _6a above, the device 700 includes a processing unit 701 and a transceiver unit 702; the processing unit 701 is used to determine the second information; the transceiver unit 702 is used to send the second information, the second information indicating the historical radio information between the device at the second position and _N1 of the N0 network devices, _N0 is a positive integer, _{and N1} is a positive integer less than or equal to _N0 ; the transceiver unit 702 is also used to receive third information, the third information indicating the sixth radio information of the device at the second position; wherein the third information is determined based on the historical radio information between the device at one or more positions and some or all of the _N0 network devices, the one or more positions including the second position.

In one possible implementation, when the device 700 is used to execute the method executed by the second communication device in the embodiment shown in the method of Figure 6a above, the device 700 includes a processing unit 701 and a transceiver unit 702; the transceiver unit 702 is used to receive second information, and the second information indicates historical radio information between the device at the second position and _N1 of the _N0 network devices, where _N0 is a positive integer and _N1 is a positive integer less than or equal to _N0 ; the processing unit 701 is used to determine third information; the transceiver unit 702 is also used to send third information, and the third information indicates sixth radio information of the device at the second position; wherein the third information is determined based on historical radio information between the device at one or more positions and some or all of the _N0 network devices, and the one or more positions include the second position.

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.

Please refer to Fig. 8, which is another schematic structural diagram of a communication device 800 provided in this application. 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.

The transceiver unit 702 shown in FIG7 may be a communication interface, which may be the input/output interface 802 in FIG8 , which 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.

Optionally, the logic circuit 801 is used to determine first information; the input-output interface 802 is used to send first information, which indicates the communication status information of the terminal device and the location information of N network devices, where N is a positive integer; wherein the N network devices are network devices perceived by the terminal device; the input-output interface 802 is also used to receive first radio information, which is associated with the communication status information of the terminal device and the location information of the N network devices.

Optionally, the input-output interface 802 is used to receive first information, which indicates the communication status information of the terminal device and the location information of N network devices, where N is a positive integer; wherein the N network devices are network devices perceived by the terminal device; the logic circuit 801 is used to determine the first radio information; the input-output interface 802 is also used to send the first radio information, which is determined by associating the communication status information of the terminal device and the location information of the N network devices.

Optionally, the logic circuit 801 is used to determine second information; the input-output interface 802 is used to send second information, the second information indicating historical radio information between the device at the second position and _N1 of _N0 network devices, _N0 is a positive integer, and _N1 is a positive integer less than or equal to _N0 ; the input-output interface 802 is also used to receive third information, the third information indicating sixth radio information of the device at the second position; wherein the third information is determined based on historical radio information between the device at one or more positions and some or all of the _N0 network devices, the one or more positions including the second position.

Optionally, the input-output interface 802 is used to receive second information, which indicates historical radio information between the device at the second position and _N1 of the _N0 network devices, where _N0 is a positive integer and _N1 is a positive integer less than or equal to _N0 ; the logic circuit 801 is used to determine third information; the input-output interface 802 is also used to send third information, which indicates sixth radio information of the device at the second position; wherein the third information is determined based on historical radio information between the device at one or more positions and some or all of the _N0 network devices, and the one or more positions include the second position.

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.

In a possible implementation, the processing unit 701 shown in FIG. 7 may be the logic circuit 801 in FIG. 8 .

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.

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.

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.

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 processing units (CPUs), network processors (NPs), digital signal processing circuits (DSPs), microcontrollers (MCUs), programmable logic devices (PLDs), or other integrated chips, or any combination of the above chips or processors.

Please refer to Figure 9, which shows a communication device 900 involved in the above-mentioned embodiments provided in an embodiment of the present application. The communication device 900 can specifically be a communication device as a terminal device in the above-mentioned embodiments. The example communication device shown in Figure 9 is implemented through the terminal device (or a component in the terminal device).

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 .

The transceiver unit 702 shown in FIG7 may be a communication interface, which may be the communication port 902 in FIG9 , which may include an input interface and an output interface. Alternatively, the communication port 902 may be a transceiver circuit, which may include an input interface circuit and an output interface circuit.

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.

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.

It should be noted that the communication device 900 shown in Figure 9 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. The specific implementation methods of the communication device shown in Figure 9 can refer to the description in the aforementioned method embodiment and will not be repeated here.

Please refer to Figure 10, which is a structural diagram of the communication device 1000 involved in the above-mentioned embodiments provided in an embodiment of the present application. The communication device 1000 can specifically be a communication device as a network device in the above-mentioned embodiments. The example communication device shown in Figure 10 is implemented by a network device (or a component in a network device), wherein the structure of the communication device can refer to the structure shown in Figure 10.

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.

The transceiver unit 702 shown in FIG7 may be a communication interface, which may be the network interface 1014 in FIG10 , which may include an input interface and an output interface. Alternatively, the network interface 1014 may be a transceiver circuit, which may include an input interface circuit and an output interface circuit.

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. Processor 1011 in Figure 10 may integrate the functions of both a baseband processor and a central processing unit. Those skilled in the art will appreciate that the baseband processor and the central processing unit may also be independent processors interconnected via a bus or other technology. Those skilled in the art will appreciate that a terminal device may include multiple baseband processors to accommodate different network standards, multiple central processing units to enhance its processing capabilities, and various components of the terminal device may be connected via various buses. The baseband processor may also be referred to as a baseband processing circuit or a baseband processing chip. The central processing unit may also be referred to as a central processing circuit or a central processing chip. The functionality for processing communication protocols and communication data may be built into the processor or stored in memory as a software program, which is executed by the processor to implement the baseband processing functionality.

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.

Figure 10 shows only one memory and one processor. In an actual terminal device, there may be multiple processors and multiple memories. The memory may also be referred to as a storage medium or a 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 present embodiment.

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.

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.

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

Please refer to FIG11 , which is a schematic structural diagram of the communication device involved in the above-mentioned embodiment provided in an embodiment of the present application.

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.

Optionally, in one design, the processor 111 may include a program 113 (sometimes also referred to as code or instructions), which may be executed on the processor 111 to cause the communication device 110 to perform the methods described in the following embodiments. In yet another possible design, the communication device 110 includes circuitry (not shown in FIG11 ).

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.

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 may 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.

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.

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.

The processing unit 701 shown in FIG7 may be the processor 111. The transceiver unit 702 shown in FIG7 may be a communication interface, which may be the transceiver 115 shown in FIG11 . The transceiver 115 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.

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.

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.

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.

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.

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.

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.

In addition, the functional units in the various embodiments of the present application can be integrated into one 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, and the computer software product is stored in a storage medium, including 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: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program code.

Claims (21)

A communication method, comprising: Sending first information, where the first information indicates communication status information of a terminal device and location information of N network devices, where N is a positive integer; wherein the N network devices are network devices perceived by the terminal device; First radio information is received, where the first radio information is associated with the communication status information of the terminal device and the location information of the N network devices. The method according to claim 1, wherein the first radio information includes first indication information and second indication information; The first indication information is used to indicate M network devices among the N network devices, and the second indication information is used to indicate the second radio information corresponding to the communication between the device at the first position and the M network devices, the device at the first position includes the terminal device, and M is a positive integer less than or equal to N. The method according to claim 1, wherein the first radio information includes N pieces of information, the i-th piece of the N pieces of information indicates radio information corresponding to communication between a device at a first position and an i-th network device among the N network devices, the device at the first position includes the terminal device, and i ranges from 1 to N; The method further comprises: Based on the N information, third radio information corresponding to the communication between the device at the first position and K network devices among the N network devices is determined, where K is a positive integer less than or equal to N. The method according to claim 1, characterized in that the first radio information includes third indication information and P pieces of information; the third indication information is used to indicate P network devices among the N network devices, and the j-th piece of information among the P pieces of information is used to indicate radio information corresponding to communication between a device at a first position and the j-th network device among the P network devices, the device at the first position includes the terminal device, P is a positive integer less than or equal to N, and j ranges from 1 to P; The method further comprises: Fourth radio information corresponding to the communication between the device at the first position and the P network devices is determined based on the third indication information and the P pieces of information. The method according to claim 1, wherein the first radio information includes fourth indication information; the fourth indication information is used to indicate Q network devices among the N network devices, where Q is a positive integer less than or equal to N; The method further comprises: Based on the fourth indication information, the communication status information of the terminal device and the position information of the Q network devices, the fifth radio information corresponding to the communication between the device at the first position and the Q network devices is determined, and the device at the first position includes the terminal device. The method according to any one of claims 1 to 5, wherein the communication status information includes at least one of the following: Transmit power, modulation and coding scheme MCS level, number of retransmissions, data cache status information, location coordinate information, environmental information, and antenna configuration information. A communication method, comprising: Receive first information, where the first information indicates communication status information of a terminal device and location information of N network devices, where N is a positive integer; wherein the N network devices are network devices sensed by the terminal device; First radio information is sent, where the first radio information is associated with the communication status information of the terminal device and the location information of the N network devices. The method according to claim 7, wherein the first radio information includes first indication information and second indication information; The first indication information is used to indicate M network devices among the N network devices, and the second indication information is used to indicate the second radio information corresponding to the communication between the device at the first position and the M network devices, the device at the first position includes the terminal device, and M is a positive integer less than or equal to N. The method according to claim 7, wherein the first radio information includes N pieces of information, the i-th piece of the N pieces of information indicates radio information corresponding to communication between a device at a first position and an i-th network device among the N network devices, the device at the first position includes the terminal device, and i ranges from 1 to N; The N pieces of information are used to determine third radio information corresponding to the communication between the device at the first position and K network devices among the N network devices, where K is a positive integer less than or equal to N. The method according to claim 7, characterized in that the first radio information includes third indication information and P pieces of information; the third indication information is used to indicate P network devices among the N network devices, and the j-th piece of information among the P pieces of information is used to indicate the radio information corresponding to the communication between the device at the first position and the j-th network device among the P network devices, the device at the first position includes the terminal device, P is a positive integer less than or equal to N, and j ranges from 1 to P; The third indication information and the P pieces of information are used to determine fourth radio information corresponding to the communication between the device at the first position and the P network devices. The method according to claim 7, wherein the first radio information includes fourth indication information; the fourth indication information is used to indicate Q network devices among the N network devices, where Q is a positive integer less than or equal to N; Among them, the fourth indication information, the communication status information of the terminal device and the location information of the Q network devices are used to determine the fifth radio information corresponding to the communication between the device at the first position and the Q network devices, and the device at the first position includes the terminal device. The method according to any one of claims 7 to 11, wherein the communication status information includes at least one of the following: Transmit power, modulation and coding scheme MCS level, number of retransmissions, data cache status information, location coordinate information, environmental information, and antenna configuration information. A communication method, comprising: Sending second information, where the second information indicates historical radio information between the device at the second position and _N1 network devices among the _N0 network devices, where _N0 is a positive integer and _N1 is a positive integer less than or equal to _N0 ; Receive third information indicating sixth radio information of the device at the second location; wherein the third information is determined based on historical radio information between the device at one or more locations and some or all of the N ₀ network devices, the one or more locations including the second location. The method according to claim 13, wherein the sixth radio information is radio information between the device at the second position and _N2 network devices among the _N0 network devices, where _N2 is a positive integer less than or equal to _N0 ; The third information further includes fifth indication information, and the fifth indication information is used to indicate the _N2 network devices. A communication method, comprising: receiving second information indicating historical radio information between the device at the second location and _N1 network devices among the _N0 network devices, where _N0 is a positive integer and _N1 is a positive integer less than or equal to _N0 ; Sending third information, wherein the third information indicates sixth radio information of the device at the second location; wherein the third information is determined based on historical radio information between the device at one or more locations and some or all of the _N0 network devices, the one or more locations including the second location. The method according to claim 15, wherein the sixth radio information is radio information between the device at the second position and _N2 network devices among the _N0 network devices, where _N2 is a positive integer less than or equal to _N0 ; The third information further includes fifth indication information, and the fifth indication information is used to indicate the _N2 network devices. A communication device, characterized by comprising a module for executing the method according to any one of claims 1 to 16. A communication device, characterized by comprising at least one processor, wherein the at least one processor is coupled to a memory; the at least one processor is configured to execute the method according to any one of claims 1 to 16. The communication device according to claim 18, wherein the communication device is a chip or a chip system. A readable storage medium, characterized in that a computer program or instruction is stored in the storage medium, and when the computer program or instruction is executed by a communication device, the method according to any one of claims 1 to 16 is implemented. A computer program product, characterized in that when the computer program product is run on a computer, the computer is caused to execute the method according to any one of claims 1 to 16.