AI model information transmission method and communication device

Abstract

This application discloses an AI model information transmission method, apparatus, and device, belonging to the field of communication technologies. The AI model information transmission method according to the embodiments of this application includes a first communication device transmitting first AI model information to a second communication device, where the first AI model information is used to indicate a first AI model and / or related information of the first AI model. The first AI model is an AI model stored in a terminal. Here, the first communication device is the terminal, the second communication device is the communication counterpart of the terminal, or the first communication device is the source cell for the terminal's handover, the second communication device is the target cell for the terminal's handover, or the first communication device is the cell with access history in the RRC recovery process of the terminal, and the second communication device is the new access cell in the RRC recovery process of the terminal.

Description

Technical Field

[0001] (Cross - reference to Related Applications) This application claims the priority of a Chinese patent application filed on July 12, 2022, with the application number 202210822805.9 and the invention title "AI Model Information Transmission Method, Apparatus and Equipment", and all of its content is incorporated herein by reference.

[0002] This application belongs to the field of communication technology, specifically related to AI model information transmission allusion to law and communication equipment.

Background Art

[0003] Artificial Intelligence (AI) is currently widely applied in various fields. Integrating AI into communication networks to significantly improve technical indicators such as throughput, latency, and user capacity is an important optimization direction for future communication networks.

[0004] The AI model inference function is deployed on the terminal. The terminal may pre - set or store the AI model, thereby reducing the interaction of the AI model between the terminal and the network. However, when the network side or the communication partner side is unknown about the related information of the AI model pre - set or stored in the terminal, the network side or the communication partner side cannot perform appropriate management such as configuration, update, activation, de - activation, etc. on the AI model, and there may be a possibility of repeatedly configuring the same model or models with the same function on the terminal, resulting in a decrease in the management efficiency of the AI model and waste of resources.

Summary of the Invention

Problems to be Solved by the Invention

[0005] The embodiments of this application can solve the problem of the decrease in the management efficiency of the AI model and waste of resources, an AI model information transmission allusion to law and communication We provide equipment. [Means for solving the problem]

[0006] According to the first aspect, an AI model information transmission method is provided, and this method is, The first communication device includes transmitting first AI model information to the second communication device, the first AI model information being used to indicate the first AI model and / or related information of the first AI model, the first AI model being an AI model stored in the terminal. Here, the first communication device is the terminal, and the second communication device is the communication partner of the terminal, or The first communication device is the source cell for switching the terminal, and the second communication device is the target cell for switching the terminal, or The first communication device is a cell with an access history in the terminal's RRC recovery process, and the second communication device is a new access cell in the terminal's RRC recovery process.

[0007] According to a second aspect, an AI model information transmission method is provided, and this method is, The second communication device includes receiving first AI model information from the first communication device, the first AI model information being used to indicate the first AI model and / or related information of the first AI model, the first AI model being an AI model stored in the terminal. Here, the first communication device is the terminal, and the second communication device is the communication partner of the terminal, or The first communication device is the source cell for switching the terminal, and the second communication device is the target cell for switching the terminal, or The first communication device is a cell with an access history in the terminal's RRC recovery process, and the second communication device is a new access cell in the terminal's RRC recovery process.

[0008] According to a third aspect, an AI model information transmission device is provided, and this device is The system includes a first transmission module for transmitting first AI model information to a second communication device, wherein the first AI model information is used to indicate the first AI model and / or related information of the first AI model, and the first AI model is an AI model stored in the terminal. Here, the first communication device is the terminal, and the second communication device is the communication partner of the terminal, or The first communication device is the source cell for switching the terminal, and the second communication device is the target cell for switching the terminal, or The first communication device is a cell with an access history in the terminal's RRC recovery process, and the second communication device is a new access cell in the terminal's RRC recovery process.

[0009] According to the fourth aspect, an AI model information transmission device is provided, and this device is It includes a first receiving module for receiving first AI model information from a first communication device, the first AI model information is used to indicate the first AI model and / or related information of the first AI model, and the first AI model is an AI model stored in the terminal. Here, the first communication device is the terminal, and the second communication device is the communication partner of the terminal, or The first communication device is the source cell for switching the terminal, and the second communication device is the target cell for switching the terminal, or The first communication device is a cell with an access history in the terminal's RRC recovery process, and the second communication device is a new access cell in the terminal's RRC recovery process.

[0010] According to a fifth aspect, a first communication device is provided, comprising a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, a step of the method according to the first aspect is realized.

[0011] According to the sixth aspect, a first communication device is provided which includes a processor and a communication interface, wherein the communication interface is It is used to transmit first AI model information to a second communication device, the first AI model information is used to indicate the first AI model and / or related information of the first AI model, and the first AI model is an AI model stored in the terminal. Here, the first communication device is the terminal, and the second communication device is the communication partner of the terminal, or The first communication device is the source cell for switching the terminal, and the second communication device is the target cell for switching the terminal, or The first communication device is a cell with an access history in the terminal's RRC recovery process, and the second communication device is a new access cell in the terminal's RRC recovery process.

[0012] According to the seventh aspect, a second communication device is provided, comprising a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, a step of the method according to the second aspect is realized.

[0013] According to the eighth aspect, a second communication device is provided which includes a processor and a communication interface, wherein the communication interface is Used to receive first AI model information from a first communication device, the first AI model information is used to indicate the first AI model and / or related information of the first AI model, and the first AI model is an AI model stored in the terminal. Here, the first communication device is the terminal, the second communication device is the communication partner side of the terminal, or the first communication device is the source cell for switching of the terminal, the second communication device is the target cell for switching of the terminal, or the first communication device is the cell with an access history in the RRC recovery process of the terminal, and the second communication device is a new access cell in the RRC recovery process of the terminal.

[0014] According to a ninth aspect, an AI model information transmission system including a first communication device and a second communication device is further provided. The first communication device may be used to execute the steps of the AI model information transmission method described in the first aspect, and the second communication device may be used to execute the steps of the AI model information transmission method described in the second aspect.

[0015] According to a tenth aspect, a readable storage medium is provided. A program or instructions are stored in the readable storage medium. When the program or instructions are executed by a processor, the steps of the method described in the first aspect are realized, or the steps of the method described in the second aspect are realized.

[0016] According to an eleventh aspect, a chip is provided. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor runs a program or instructions and is used to realize the method described in the first aspect or the method described in the second aspect.

[0017] According to a twelfth aspect, a computer program / program product is provided. The computer program / program product is stored in a storage medium. The computer program / program product is executed by at least one processor to realize the method described in the first aspect or the method described in the second aspect.

Advantages of the Invention

[0018] In an embodiment of the present application, the first AI model information stored in the terminal by the first communication device is transmitted to the second communication device, so as to instruct the network side or the communication partner side to have the first AI model stored in the terminal and / or related information of the first AI model, so that the network side or the communication partner side can timely perform management such as appropriate configuration, update, activation, deactivation, etc. on the first AI model stored in the terminal, improve the management efficiency of the AI model, avoid the terminal from being repeatedly configured with the same model or models with the same function, and save resources.

Brief Description of Drawings

[0019] [Figure 1] A block diagram of a wireless communication system to which an embodiment of the present application is applicable is shown. [Figure 2] It is a flowchart of AI-based communication network optimization according to the related art. [Figure 3] It is a flowchart of UE capability reporting according to the related art. [Figure 4] It is one of the flowcharts of the AI model information transmission method according to an embodiment of the present application. [Figure 5] It is the second of the flowcharts of the AI model information transmission method according to an embodiment of the present application. [Figure 6] It is one of the schematic diagrams of AI model information transmission according to an embodiment of the present application. [Figure 7] It is the second of the schematic diagrams of AI model information transmission according to an embodiment of the present application. [Figure 8] It is the third of the schematic diagrams of AI model information transmission according to an embodiment of the present application. [Figure 9] It is one of the schematic structural diagrams of the AI model information transmission device according to an embodiment of the present application. [Figure 10] It is the second of the schematic structural diagrams of the AI model information transmission device according to an embodiment of the present application. [Figure 11] It is a schematic structural diagram of a communication device according to an embodiment of the present application. [Figure 12] This is a schematic diagram of the hardware structure of a first communication device that realizes the embodiment of this application. [Figure 13] This is a schematic diagram of the hardware structure of a second communication device that realizes the embodiment of this application. [Modes for carrying out the invention]

[0020] The following clearly and completely describes the technical concepts in the embodiments of this application, linking them to the drawings of the embodiments. Clearly, the embodiments described are only some, and not all, embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are all within the scope of protection of this application.

[0021] The terms "first," "second," etc., used in the specification and claims of this application are intended to distinguish similar subjects and not to describe a specific order or sequence. It should be understood that these terms are interchangeable where appropriate, so that the embodiments of this application may be carried out in an order other than those illustrated or described herein, and that the subjects distinguished by "first" and "second" are generally of the same kind and do not limit the number of subjects; for example, the first subject may be one or more. Furthermore, "and / or" in the specification and claims indicates at least one of the connected subjects, and the letter " / " generally indicates that the preceding and succeeding related subjects are in an "or" relationship.

[0022] It should be noted that the technologies described in the embodiments of this application are not limited to Long Term Evolution (LTE) / LTE-Advanced (LTE-A) systems, but are also applicable to other wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency Division Multiple Access (SC-FDMA), and other systems. The terms "system" and "network" in the embodiments of this application are always used interchangeably, and the technologies described may be used for the systems and radio technologies mentioned above, or for other systems and radio technologies. The following description describes a New Radio (NR) system for illustrative purposes, and uses NR terminology in most of the following descriptions, but these technologies are also applicable to applications other than NR system applications, such as sixth-generation (6) radio. th It may be applied to 6G (Generation 1) communication systems.

[0023] Figure 1 shows a block diagram of a wireless communication system to which an embodiment of this application can be applied. The wireless communication system includes a terminal 11 and a network-side device 12. Here, the terminal 11 is a mobile phone, tablet personal computer, laptop computer (or notebook computer), personal digital assistant (PDA), palmtop computer, netbook, ultra-mobile personal computer (UMPC), mobile internet device (MID), augmented reality (AR) / virtual reality (VR) device, robot, wearable device, vehicle user equipment (VUE), pedestrian user equipment (PUE), smart home (home appliances with wireless communication capabilities, such as refrigerators, televisions, washing machines or furniture), game console, personal computer (personal The terminal-side equipment may be a computer (PC), a teller machine or self-service machine, and the wearable device includes smartwatches, smart bands, smart earphones, smart glasses, smart accessories (smart bracelets, smart rings, smart necklaces, smart anklets, etc.), smart wristbands, smart clothing, etc. It should be noted that the embodiments of this application do not limit the specific type of terminal 11. The network-side equipment 12 may include access network equipment or core network equipment, where access network equipment 12 may be called radio access network equipment, radio access network (RAN), radio access network function or radio access network unit.Access network equipment may include base stations, WLAN access points, or WiFi nodes, and base stations may also be called Node B, evolved Node B (eNB), access point, base transceiver station (BTS), radio base station, radio transceiver, basic service set (BSS), extended service set (ESS), home B node, home evolved B node, transmitting / receiving point (TRP), or any other appropriate term in the art, and are not limited to any particular technical term as long as the same technical effect is achieved. For the purposes of this explanation, only base stations in NR systems are given as examples in the embodiments of this application, but this does not limit the specific types of base stations.The core network equipment includes core network nodes, core network functions, Mobility Management Entity (MME), Access and Mobility Management Function (AMF), Session Management Function (SMF), User Plane Function (UPF), Policy Control Function (PCF), Policy and Charging Rules Function (PCRF), Edge Application Server Discovery Function (EASDF), Unified Data Management (UDM), Unified Data Repository (UDR), Home Subscriber Server (HSS), Centralized network configuration (CNC), Network Repository Function (NRF), Network Exposure Function (NEF), Local NEF (or L-NEF), Binding Support Function (BSF), and Application Function (Application It may include, but is not limited to, at least one of the following: Function (AF), etc. For illustrative purposes, the embodiments of this application only use core network equipment in an NR system as an example, but this does not limit the specific type of core network equipment.

[0024] First, write the following:

[0025] (1) Combining artificial intelligence (AI) with communication networks, Figure 2 is a flowchart of AI-based communication network optimization using related technologies. As shown in Figure 2, the model training function and model inference function are important functions in the overall flow of AI-based communication network optimization. Here, the model training function generates an AI model based on training data, and after completing model validity testing, deploys the model to the model inference function. In the process of generating the AI ​​model, the model training function needs to acquire and analyze a large amount of data, which places high requirements on hardware performance and computing power, and is mainly deployed on network-side equipment, such as Operation Administration and Maintenance (OAM) nodes and base stations.

[0026] The model inference function takes inference data as input based on the above model and obtains AI inference output, such as air interface metric predictions. The model inference function has lower hardware performance and computing power requirements than the model training function. As terminal capabilities continue to improve, the number of AI-dedicated chips, Neural Processing Units (NPUs), and the efficiency of AI-driven systems will continue to improve, making it possible to perform model inference and even some model training on the terminal side.

[0027] (2) Capability report of user equipment (UE) (e.g., terminals), Cellular wireless communication systems rely on accurate and efficient coordinated interworking between base stations and UEs, of which UE capability interaction is a crucial part of this coordination. Base stations can only perform accurate scheduling for UEs after knowing their capabilities. If an UE supports a certain function, the base station can configure that function for the UE; if an UE does not support a certain function, the base station cannot configure that function for the UE.

[0028] Figure 3 is a flowchart of UE capability reporting using related technologies. As shown in Figure 3, UE capability primarily involves two flows: UE Capability request and UE Capability report. When a UE needs to report UE Capability, the base station sends a UE Capability Enquiry command to the UE. After the UE receives the UE Capability Enquiry command, the UE sends UE Capability Information based on the command.

[0029] The base station screens the UE Capability using filtering conditions in the UECapabilityEnquiry signaling to indicate which UE Capabilities it wants to acquire.

[0030] UE Capability is divided into different levels of capability, and the UE Capability signaling structure includes the following:

[0031] UE-specific UE Capability: Each UE may have different capabilities, and such UE capabilities apply to all bands and band combinations that the UE supports.

[0032] UE Capability at the Band Combination level: Each Band Combination may have different capabilities. For example, the Band 3 + Band 77 combination may support a certain UE capability, while the Band 1 + Band 78 combination may not support this same UE capability.

[0033] Band-level UE Capability: Each band may have different capabilities. For example, Band 77 may support a certain UE capability, while Band 78 may not.

[0034] Another method of classifying UE capabilities is protocol stack-based classification, and when UE Capability is actually reported, it is reported hierarchically based on the protocol stack, and UE Capability reporting is, PDCP-Parameters: UE Capability corresponding to the PDCP (Packet Data Convergence Protocol) layer, RLC-Parameters: UE Capability corresponding to the RLC (Radio Link Control) layer, MAC-Parameters: UE Capability corresponding to the MAC (Media Access Control) layer, PHY-Parameters: UE Capability corresponding to the PHY (Physical, physical layer) layer, RF-Parameters can be divided into UE Capability related to RF (Radio Frequency).

[0035] In the following sections, the AI ​​model information transmission method according to the embodiment of this application will be described in detail with reference to several embodiments and their application scenarios, while linking them to the drawings.

[0036] Figure 4 is one flowchart of an AI model information transmission method according to an embodiment of this application, and as shown in Figure 4, this method includes the following flow.

[0037] In step 400, the first communication device transmits first AI model information to the second communication device, the first AI model information is used to indicate the first AI model and / or related information of the first AI model, the first AI model being an AI model stored in the terminal. Here, the first communication device is the terminal, and the second communication device is the communication partner of the terminal, or The first communication device is the source cell for switching the terminal, and the second communication device is the target cell for switching the terminal, or The first communication device is a cell with an access history in the terminal's radio resource control (RRC) recovery process, and the second communication device is a new access cell in the terminal's RRC recovery process.

[0038] Selectively, the first communication device may be a terminal, the first AI model may be an AI model stored in this terminal, and accordingly, the second communication device may be the communication partner of the terminal, for example, a network device or another terminal. Selectively, the terminal can transmit the first AI model and / or related information to the first AI model to the network-side equipment, thereby enabling the network-side equipment to perform appropriate management of the first AI model, such as configuration, updates, activation, and deactivation. Selectively, a terminal can transmit the first AI model and / or related information to another terminal, thereby allowing the other terminal to transfer the first AI model and / or related information to network-side equipment, thereby enabling network-side equipment to perform appropriate management of the first AI model, such as configuration, updates, activation, and deactivation. Selectively, network-side equipment may include base stations, core network functions, core network elements, or OAMs. Selectively, a terminal can transmit the first AI model and / or related information about the first AI model to other terminals, thereby enabling the other terminals to perform appropriate management of the first AI model, such as configuration, updates, activation, and deactivation. Selectively, the first communication device may be the source cell during the switching of the terminal storing the first AI model, and the second communication device may be the target cell during the switching of this terminal storing the first AI model. Selectively, during the switching of a terminal that stores the first AI model, the source cell may store the first AI model and / or related information about the first AI model, for example, by reporting to the source cell before the switch. During the switch, the source cell may transmit the first AI model and / or related information about the first AI model to the target cell, thereby completing the switch and, after the terminal has accessed the target cell, enabling the target cell to perform appropriate management such as configuration, updating, activation, and deactivation of the first AI model. Selectively, the first AI model and / or related information of the first AI model may be stored in a cell with an access history during the RRC recovery process of the terminal that stores the first AI model, for example, a cell that the terminal previously sent to with this access history. In this case, during the RRC recovery process, the cell with the access history can send the first AI model and / or related information of the first AI model to a new access cell, thereby enabling the new access cell to perform appropriate configuration, updating, activation, deactivation, and other management of the first AI model after RRC recovery. Selectively, the AI ​​model stored in the terminal may refer to an AI model that has been pre-configured or stored in the terminal.

[0039] In the embodiments of this application, a first communication device transmits first AI model information stored in a terminal to a second communication device, thereby instructing the network side or communication partner on the first AI model stored in the terminal and / or related information of the first AI model, so that the network side or communication partner can perform timely management such as appropriate configuration, updating, activation, and deactivation of the first AI model stored in the terminal, thereby improving the efficiency of AI model management, avoiding the terminal being repeatedly configured with the same model or a model with the same function, and saving resources.

[0040] Selectively, the first AI model information is A model identifier for the first AI model to uniquely identify the first AI model, The model function of the first AI model mentioned above, The model activation conditions for the first AI model mentioned above, The model active state of the first AI model, The model data size of the first AI model mentioned above, The second communication device has model authentication information for the first AI model for identifying or authenticating the first AI model, It includes at least one of the following: the model structure information of the first AI model.

[0041] Selectively, the first AI model information may include a model identifier for the first AI model, and the model identifier for the first AI model may be used to uniquely identify the first AI model. Selectively, the first AI model information may include the model functions of the first AI model, and the model functions of the first AI model may be used to represent the functions or operations of this first AI model, such as compression or reporting of channel state information (CSI), beam management, or mobility management. Selectively, the first AI model information may include the model activation conditions for the first AI model, and the model activation conditions for the first AI model may refer to the activation of the first AI model based solely on these model activation conditions. Selectively, the first AI model information may include the model active state of the first AI model. Selectively, the model active state of the first AI model may include activation or deactivation. Selectively, the first AI model information may include the model data size of the first AI model. Selectively, the first AI model information may include model authentication information for the first AI model, and the model authentication information for the first AI model may be used by the second communication device to identify or authenticate the first AI model. Selectively, the first AI model information may include the model structure information of the first AI model. Selectively, the model structure information of the first AI model may include the neural network structure, such as the number of neural network layers. Selectively, the model structure information of the first AI model may include any one or any combination of the above information.

[0042] Selectively, the model activation conditions are: Activation area and Activation time, Activation configuration and, Includes at least one of the activation channel environment parameters.

[0043] Selectively, the model activation conditions for the first AI model may include an activation region. For example, if the device is within this activation region, the first AI model is activated, and if the device moves outside this activation region, the first AI model is deactivated. Selectively, the model activation conditions for the first AI model may include an activation time; for example, the first AI model is activated if it is within the activation time, and deactivated if it is outside the activation time. Selectively, the model activation conditions for the first AI model may include an activation configuration. For example, if the network configuration matches this activation configuration, the first AI model is activated; if the network configuration does not match this activation configuration, the first AI model is deactivated. Selectively, the enabled configuration is Reference signal spatial domain configuration, Antenna port configuration, Reference signal frequency domain configuration, This may include at least one of the time-domain configurations of the reference signal.

[0044] Selectively, the model activation condition for the first AI model may include an activation channel environment parameter, and the activation channel environment parameter may include a range of values ​​for all channel environment parameters that can activate the first AI model. For example, if the channel environment parameter for the location where the terminal is located is within the range of the activation channel environment parameter, the first AI model is activated; otherwise, the first AI model is deactivated. Selectively disabling the first AI model may also mean disabling the information associated with the first AI model. Selectively activating the first AI model may also mean activating the relevant information of the first AI model. Selectively disabling the first AI model may also mean disabling the configuration information of the first AI model. Selectively enabling the first AI model may also mean enabling the configuration information of the first AI model. Selectively disabling the first AI model may also mean disabling the first AI model information corresponding to the first AI model. Selectively activating the first AI model may also mean activating the first AI model information corresponding to the first AI model.

[0045] Selectively, the enabled channel environment parameters are: Environment type, Viewing distance / non-viewing distance type, Delayed diffusion and, Angular diffusion and, Doppler diffusion and Doppler shift and Rice K factor and, Shadow attenuation and, The time difference in arrival of the reference signal, Reference signal round trip time, Reference signal reception power and Reference signal departure angle, The parameters may include at least one category of reference signal arrival angle.

[0046] Selectively, before the first communication device transmits the first AI model information to the second communication device, the method: The first communication device further includes receiving an AI model information request, the AI ​​model information request being used to request the first AI model information.

[0047] Selectively, the first communication device may receive an AI model information request transmitted from the second communication device and, based on the AI ​​model information request, transmit the first AI model and / or related information of the first AI model.

[0048] Selectively, the AI ​​model information request is, AI models corresponding to a specific model identifier range and / or related information for AI models corresponding to a specific model identifier range, AI models for specific model functions and / or related information for AI models for specific model functions, AI models to be activated within a specific domain and / or related information of AI models to be activated within a specific domain, AI models to be enabled in a specific network configuration and / or related information to AI models to be enabled in a specific network configuration, AI models to be enabled with specific channel environment parameters and / or related information to AI models to be enabled with specific channel environment parameters, AI models that are in an enabled state and / or related information of AI models that are in an enabled state, Active AI models and / or related information to active AI models, AI models in an inactive state and / or related information of AI models in an inactive state, This is used to request at least one of all AI models stored in the terminal and / or related information of all AI models stored in the terminal.

[0049] Selectively, "specific" may mean "designated" or "specific," that is, a second communication device can be used to transmit an AI model information request and request an AI model and / or related information of an AI model that satisfies one or more of the screening conditions in the AI ​​model information request (e.g., a specific model identifier range, a specific model function, activation within a specific area, activation in a specific network configuration, activation with specific channel environment parameters, being in an activated state, being in an active state, being in an inactive state, etc.). Selectively, the first communication device may transmit to the second communication device all AI models stored in the terminal and / or related information of all AI models stored in the terminal. Selectively, the first communication device may transmit to the second communication device some AI models stored in the terminal and / or related information of some AI models stored in the terminal. Selectively, the first communication device may determine the characteristics of the first AI model and / or the associated information of the first AI model to transmit to the second communication device based on the screening conditions in the AI ​​model request. That is, based on the screening conditions in the AI ​​model request, it may determine some AI models and / or the associated information of some AI models that satisfy the screening conditions from all AI models and / or the associated information of all AI models stored in the terminal, and transmit them as the first AI model and / or the associated information of the first AI model.

[0050] Selectively, an AI model information request may request a first AI model within a specific model identifier range from among all AI models stored in the terminal, and / or related information for that first AI model within a specific model identifier range. After receiving the AI ​​model information request, the first communication device can check whether one or more first AI models belonging to a specific model identifier range exist among all AI models stored in the terminal, and if they do, it can transmit this one or more first AI model and / or related information for that one or more first AI models to the second communication device.

[0051] Selectively, an AI model information request may request a first AI model with a specific model function from among all AI models stored in the terminal, and / or related information of the first AI model with a specific model function. After receiving the AI ​​model information request, the first communication device can check whether one or more first AI models with a specific model function exist among all AI models stored in the terminal, and if so, it can transmit this one or more first AI model and / or related information of the one or more first AI models to the second communication device.

[0052] Selectively, an AI model information request may request a first AI model to be activated within a specific area from among all AI models stored in the terminal, and / or related information of the first AI model to be activated within a specific area. After receiving the AI ​​model information request, the first communication device can check whether there is one or more first AI models to be activated within a specific area among all AI models stored in the terminal, and if there is, it can transmit this one or more first AI model and / or related information of the one or more first AI models to the second communication device.

[0053] Selectively, an AI model information request may request a first AI model to be activated in a specific network configuration from among all AI models stored in the terminal, and / or related information of the first AI model to be activated in a specific network configuration. After receiving the AI ​​model information request, the first communication device can check whether there is one or more first AI models to be activated in a specific network configuration among all AI models stored in the terminal, and if there are, it can transmit this one or more first AI model and / or related information of the one or more first AI models to the second communication device.

[0054] Selectively, an AI model information request may request a first AI model from among all AI models stored in the terminal that is activated with specific channel environment parameters, and / or related information of the first AI model that is activated with specific channel environment parameters. After receiving the AI ​​model information request, the first communication device can check whether there is one or more first AI models among all AI models stored in the terminal that are activated with specific channel environment parameters, and if there are, it can transmit this one or more first AI model and / or related information of the one or more first AI models to the second communication device.

[0055] Selectively, an AI model information request may request a first AI model that is in an activated state from among all AI models stored in the terminal, and / or related information of the first AI model that is in an activated state. After receiving the AI ​​model information request, the first communication device can check whether there is one or more first AI models in an activated state among all AI models stored in the terminal, and if there are, it can transmit this one or more first AI model and / or related information of the one or more first AI models to the second communication device.

[0056] Selectively, an AI model information request may request a first AI model that is in an active state among all AI models stored in the terminal, and / or related information of the first AI model that is in an active state. After receiving the AI ​​model information request, the first communication device can check whether there is one or more first AI models in an active state among all AI models stored in the terminal, and if there are, it can transmit this one or more first AI model and / or related information of the one or more first AI models to the second communication device.

[0057] Selectively, an AI model information request may request a first AI model that is inactive among all AI models stored in the terminal, and / or related information of the first AI model that is inactive. After receiving the AI ​​model information request, the first communication device can check whether there is one or more first AI models in an inactive state among all AI models stored in the terminal, and if there are, it can transmit this one or more first AI model and / or related information of the one or more first AI models to the second communication device.

[0058] Selectively, an AI model information request may request all AI models stored in the terminal and / or related information for all AI models stored in the terminal, and after receiving the AI ​​model information request, the first communication device may transmit all AI models stored in the terminal and / or related information for all AI models stored in the terminal to the second communication device.

[0059] Selectively, if the first communication device is the terminal and the second communication device is the communication partner of the terminal, the method shall, before the first communication device transmits the first AI model information to the second communication device, The first communication device further includes determining second AI model information, the second AI model information is used to indicate the second AI model and / or related information of the second AI model, and the second AI model is an AI model supported by the second communication device.

[0060] Selectively, the first communication device may first determine the second AI model supported by the second communication device and / or the relevant information for the second AI model supported by the second communication device.

[0061] Selectively, the terminal may first determine a second AI model information, which is used to indicate the second AI model and / or related information of the second AI model, and the second AI model is an AI model supported by network-side equipment.

[0062] Selectively, after the first communication device has determined the second AI model information, the method proceeds as follows: The first communication device further includes transmitting first instruction information to the second communication device, the first instruction information being used to characterize the presence of the second AI model and / or the presence of an AI model matching the relevant information of the second AI model.

[0063] Selectively, the first communication device may first determine the second AI model supported by the second communication device and / or the associated information of the second AI model supported by the second communication device, and if the first communication device discovers that the second AI model is included in all the AI ​​models stored in itself, it may transmit the first instruction information to the second communication device and notify the second communication device that the second AI model exists and / or that there is an AI model that matches the associated information of the second AI model.

[0064] Selectively, after receiving instruction information from the first communication device, the second communication device may send an AI model information request to the first communication device, thereby requesting the first AI model and / or related information of the first AI model; after the first communication device receives the AI ​​model information request, it may send the first AI model and / or related information of the first AI model to the second communication device. For example, after receiving the first instruction information, the network-side device can send an AI model information request to the terminal, thereby requesting the first AI model and / or related information of the first AI model. After receiving the AI ​​model information request, the terminal can send the first AI model and / or related information of the first AI model to the network side.

[0065] Selectively, the first communication device determines the second AI model information. The first communication device receives broadcast information from the second communication device. The first communication device includes determining the second AI model information based on the broadcast information.

[0066] The method by which the first communication device selectively determines the second AI model supported by the second communication device and / or related information of the second AI model supported by the second communication device may be determined by the first communication device based on the broadcast information of the second communication device. For example, a network-side device can broadcast information about a second AI model it supports and / or information about a second AI model supported by a second communication device. After receiving this broadcast information, a terminal can determine which second AI model is supported by the second communication device and / or information about a second AI model supported by the second communication device. If the terminal discovers that all AI models stored within itself include a second AI model, it can send first instruction information to the network-side device to notify the network-side device that a second AI model exists in the terminal and / or that an AI model matching the information about the second AI model exists. After receiving the first instruction information, the network-side device can send an AI model information request to the terminal, thereby requesting the first AI model and / or information about the first AI model. After receiving the AI ​​model information request, the terminal can send the first AI model and / or information about the first AI model to the network side.

[0067] Selectively, the above method, The first communication device further includes transmitting a second instruction information to the second communication device, the second instruction information being used to characterize the presence of an AI model in the terminal and / or the terminal having model inference capabilities.

[0068] Selectively, the first communication device may pre-transmit second instruction information to the second communication device to notify the second communication device that an AI model exists in the first communication device. Selectively, after receiving the second instruction information, the second communication device may send an AI model information request to the first communication device, thereby requesting the first AI model and / or related information of the first AI model, and after the first communication device receives the AI ​​model information request, it may send the first AI model and / or related information of the first AI model to the second communication device.

[0069] Selectively, the second instruction information is used to indicate that the terminal already has an AI model stored in it or that the terminal possesses model inference capabilities.

[0070] Selectively, if the first communication device is the source cell for the switchover and the second communication device is the target cell for the switchover, the first AI model information is included in the switchover request.

[0071] Selectively, if the first communication device is a cell with an access history in the RRC recovery process, and the second communication device is a newly accessed cell in the RRC recovery process, the first AI model information is included in the terminal context information.

[0072] In the embodiments of this application, a first communication device transmits first AI model information stored in a terminal to a second communication device, thereby instructing the network side or communication partner on the first AI model stored in the terminal and / or related information of the first AI model, so that the network side or communication partner can perform timely management such as appropriate configuration, updating, activation, and deactivation of the first AI model stored in the terminal, thereby improving the efficiency of AI model management, avoiding the terminal being repeatedly configured with the same model or a model with the same function, and saving resources.

[0073] Figure 5 is the second flowchart of the AI ​​model information transmission method according to an embodiment of this application, and as shown in Figure 5, this method includes the following flow.

[0074] In step 500, the second communication device receives first AI model information from the first communication device, and the first AI model information is used to indicate the first AI model and / or related information of the first AI model, the first AI model being an AI model stored in the terminal. Here, the first communication device is the terminal, and the second communication device is the communication partner of the terminal, or The first communication device is the source cell for switching the terminal, and the second communication device is the target cell for switching the terminal, or The first communication device is a cell with an access history in the terminal's RRC recovery process, and the second communication device is a new access cell in the terminal's RRC recovery process.

[0075] Selectively, the first communication device may be a terminal, the first AI model may be an AI model stored in this terminal, and accordingly, the second communication device may be the communication partner of the terminal, for example, a network device or another terminal. Selectively, network-side equipment can receive the first AI model and / or related information of the first AI model transmitted from the terminal, and further, it can perform appropriate management of the first AI model, such as configuration, updating, activation, and deactivation. Selectively, other terminals can receive the first AI model and / or related information transmitted by the terminal, and further, other terminals can transfer the first AI model and / or related information to network-side equipment, thereby enabling network-side equipment to perform appropriate management of the first AI model, such as configuration, updates, activation, and deactivation. Selectively, network-side equipment may include base stations, core network functions, core network elements, or OAMs. Selectively, other terminals can receive the first AI model and / or related information about the first AI model transmitted by the terminal, and can further perform appropriate management of the first AI model, such as configuration, updating, activation, and deactivation. Selectively, the first communication device may be the source cell during the switching of the terminal storing the first AI model, and the second communication device may be the target cell during the switching of this terminal storing the first AI model. Selectively, during the switching of a terminal that stores the first AI model, the source cell may store the first AI model and / or related information about the first AI model, for example, by reporting to the source cell before the switch. During the switch, the source cell may transmit the first AI model and / or related information about the first AI model to the target cell, thereby completing the switch and, after the terminal has accessed the target cell, enabling the target cell to perform appropriate management such as configuration, updating, activation, and deactivation of the first AI model. Selectively, the first AI model and / or related information of the first AI model may be stored in a cell with an access history during the RRC recovery process of the terminal that stores the first AI model, for example, a cell that the terminal previously sent to with this access history. In this case, during the RRC recovery process, the cell with the access history can send the first AI model and / or related information of the first AI model to a new access cell, thereby enabling the new access cell to perform appropriate configuration, updating, activation, deactivation, and other management of the first AI model after RRC recovery. Selectively, the AI ​​model stored in the terminal may refer to an AI model that has been pre-configured or stored in the terminal.

[0076] In the embodiments of this application, a first communication device transmits first AI model information stored in a terminal to a second communication device, thereby instructing the network side or communication partner on the first AI model stored in the terminal and / or related information of the first AI model, so that the network side or communication partner can perform timely management such as appropriate configuration, updating, activation, and deactivation of the first AI model stored in the terminal, thereby improving the efficiency of AI model management, avoiding the terminal being repeatedly configured with the same model or a model with the same function, and saving resources.

[0077] Selectively, the first AI model information is A model identifier for the first AI model to uniquely identify the first AI model, The model function of the first AI model mentioned above, The model activation conditions for the first AI model mentioned above, The model active state of the first AI model, The model data size of the first AI model mentioned above, The second communication device has model authentication information for the first AI model for identifying or authenticating the first AI model, It includes at least one of the following: the model structure information of the first AI model.

[0078] Selectively, the first AI model information may include a model identifier for the first AI model, and the model identifier for the first AI model may be used to uniquely identify the first AI model. Selectively, the first AI model information may include the model functions of the first AI model, and the model functions of the first AI model may be used to represent the functions or operations of the first AI model, such as CSI compression or reporting, beam management, or mobility management. Selectively, the first AI model information may include the model activation conditions for the first AI model, and the model activation conditions for the first AI model may refer to the activation of the first AI model based solely on these model activation conditions. Selectively, the first AI model information may include the model active state of the first AI model. Selectively, the model active state of the first AI model may include activation or deactivation. Selectively, the first AI model information may include the model data size of the first AI model. Selectively, the first AI model information may include model authentication information for the first AI model, and the model authentication information for the first AI model may be used by the second communication device to identify or authenticate the first AI model. Selectively, the first AI model information may include the model structure information of the first AI model. Selectively, the model structure information of the first AI model may include the neural network structure, such as the number of neural network layers. Selectively, the model structure information of the first AI model may include any one or any combination of the above information.

[0079] Selectively, the model activation conditions are: Activation area and Activation time, Activation configuration and, Includes at least one of the activation channel environment parameters.

[0080] Selectively, the model activation conditions for the first AI model may include an activation region. For example, if the device is within this activation region, the first AI model is activated, and if the device moves outside this activation region, the first AI model is deactivated. Selectively, the model activation conditions for the first AI model may include an activation time; for example, the first AI model is activated if it is within the activation time, and deactivated if it is outside the activation time. Selectively, the model activation conditions for the first AI model may include an activation configuration. For example, if the network configuration matches this activation configuration, the first AI model is activated; if the network configuration does not match this activation configuration, the first AI model is deactivated. Selectively, the enabled configuration is Reference signal spatial domain configuration, Antenna port configuration, Reference signal frequency domain configuration, This may include at least one of the time-domain configurations of the reference signal.

[0081] Selectively, the model activation condition for the first AI model may include an activation channel environment parameter, and the activation channel environment parameter may include a range of values ​​for all channel environment parameters that can activate the first AI model. For example, if the channel environment parameter for the location where the terminal is located is within the range of the activation channel environment parameter, the first AI model is activated; otherwise, the first AI model is deactivated. Selectively disabling the first AI model may also mean disabling the information associated with the first AI model. Selectively activating the first AI model may also mean activating the relevant information of the first AI model. Selectively disabling the first AI model may also mean disabling the configuration information of the first AI model. Selectively enabling the first AI model may also mean enabling the configuration information of the first AI model. Selectively disabling the first AI model may also mean disabling the first AI model information corresponding to the first AI model. Selectively activating the first AI model may also mean activating the first AI model information corresponding to the first AI model.

[0082] Selectively, the enabled channel environment parameters are: Environment type, Viewing distance / non-viewing distance type, Delayed diffusion and, Angular diffusion and, Doppler diffusion and Doppler shift and Rice K factor and, Shadow attenuation and, The time difference in arrival of the reference signal, Reference signal round trip time, Reference signal reception power and Reference signal departure angle, The parameters may include at least one category of reference signal arrival angle.

[0083] Selectively, before the second communication device receives the first AI model information from the first communication device, the method: The second communication device further includes transmitting an AI model information request to the first communication device, the AI ​​model information request being used to request the first AI model information.

[0084] Selectively, the second communication device may transmit an AI model information request to the first communication device, and the first communication device may transmit the first AI model and / or related information of the first AI model based on the AI ​​model information request.

[0085] Selectively, the AI ​​model information request is, AI models corresponding to a specific model identifier range and / or related information for AI models corresponding to a specific model identifier range, AI models for specific model functions and / or related information for AI models for specific model functions, AI models to be activated within a specific domain and / or related information of AI models to be activated within a specific domain, AI models to be enabled in a specific network configuration and / or related information to AI models to be enabled in a specific network configuration, AI models to be enabled with specific channel environment parameters and / or related information to AI models to be enabled with specific channel environment parameters, AI models that are in an enabled state and / or related information of AI models that are in an enabled state, Active AI models and / or related information to active AI models, AI models in an inactive state and / or related information of AI models in an inactive state, This is used to request at least one of all AI models stored in the terminal and / or related information of all AI models stored in the terminal.

[0086] Selectively, "specific" may mean "designated" or "specific," that is, a second communication device can be used to transmit an AI model information request and request an AI model and / or related information of an AI model that satisfies one or more of the screening conditions in the AI ​​model information request (e.g., a specific model identifier range, a specific model function, activation within a specific domain, activation in a specific network configuration, activation with specific channel environment parameters, being in an activated state, being in an active state, being in an inactive state, etc.). Selectively, the first communication device may transmit to the second communication device all AI models stored in the terminal and / or related information of all AI models stored in the terminal. Selectively, the first communication device may transmit to the second communication device some AI models stored in the terminal and / or related information of some AI models stored in the terminal. Selectively, the first communication device may determine the characteristics of the first AI model and / or the associated information of the first AI model to transmit to the second communication device based on the screening conditions in the AI ​​model request. That is, based on the screening conditions in the AI ​​model request, it may determine some AI models and / or the associated information of some AI models that satisfy the screening conditions from all AI models and / or the associated information of all AI models stored in the terminal, and transmit them as the first AI model and / or the associated information of the first AI model.

[0087] Selectively, an AI model information request may request a first AI model within a specific model identifier range from among all AI models stored in the terminal, and / or related information for that first AI model within a specific model identifier range. After receiving the AI ​​model information request, the first communication device can check whether one or more first AI models belonging to a specific model identifier range exist among all AI models stored in the terminal, and if they do, it can transmit this one or more first AI model and / or related information for that one or more first AI models to the second communication device.

[0088] Selectively, an AI model information request may request a first AI model with a specific model function from among all AI models stored in the terminal, and / or related information of the first AI model with a specific model function. After receiving the AI ​​model information request, the first communication device can check whether one or more first AI models with a specific model function exist among all AI models stored in the terminal, and if so, it can transmit this one or more first AI model and / or related information of the one or more first AI models to the second communication device.

[0089] Selectively, an AI model information request may request a first AI model to be activated within a specific area from among all AI models stored in the terminal, and / or related information of the first AI model to be activated within a specific area. After receiving the AI ​​model information request, the first communication device can check whether there is one or more first AI models to be activated within a specific area among all AI models stored in the terminal, and if there is, it can transmit this one or more first AI model and / or related information of the one or more first AI models to the second communication device.

[0090] Selectively, an AI model information request may request a first AI model to be activated in a specific network configuration from among all AI models stored in the terminal, and / or related information of the first AI model to be activated in a specific network configuration. After receiving the AI ​​model information request, the first communication device can check whether there is one or more first AI models to be activated in a specific network configuration among all AI models stored in the terminal, and if there are, it can transmit this one or more first AI model and / or related information of the one or more first AI models to the second communication device.

[0091] Selectively, an AI model information request may request a first AI model from among all AI models stored in the terminal that is activated with specific channel environment parameters, and / or related information of the first AI model that is activated with specific channel environment parameters. After receiving the AI ​​model information request, the first communication device can check whether there is one or more first AI models among all AI models stored in the terminal that are activated with specific channel environment parameters, and if there are, it can transmit this one or more first AI model and / or related information of the one or more first AI models to the second communication device.

[0092] Selectively, an AI model information request may request a first AI model that is in an activated state from among all AI models stored in the terminal, and / or related information of the first AI model that is in an activated state. After receiving the AI ​​model information request, the first communication device can check whether there is one or more first AI models in an activated state among all AI models stored in the terminal, and if there are, it can transmit this one or more first AI model and / or related information of the one or more first AI models to the second communication device.

[0093] Selectively, an AI model information request may request a first AI model that is in an active state among all AI models stored in the terminal, and / or related information of the first AI model that is in an active state. After receiving the AI ​​model information request, the first communication device can check whether there is one or more first AI models in an active state among all AI models stored in the terminal, and if there are, it can transmit this one or more first AI model and / or related information of the one or more first AI models to the second communication device.

[0094] Selectively, an AI model information request may request a first AI model that is inactive among all AI models stored in the terminal, and / or related information of the first AI model that is inactive. After receiving the AI ​​model information request, the first communication device can check whether there is one or more first AI models in an inactive state among all AI models stored in the terminal, and if there are, it can transmit this one or more first AI model and / or related information of the one or more first AI models to the second communication device.

[0095] Selectively, an AI model information request may request all AI models stored in the terminal and / or related information for all AI models stored in the terminal, and after receiving the AI ​​model information request, the first communication device may transmit all AI models stored in the terminal and / or related information for all AI models stored in the terminal to the second communication device.

[0096] Selectively, if the first communication device is the terminal and the second communication device is the communication partner of the terminal, the method is: The second communication device further includes broadcasting second AI model information, the second AI model information being used to indicate the second AI model and / or related information of the second AI model, the second AI model being an AI model supported by the second communication device.

[0097] Selectively, the second communication device may broadcast second AI model information, enabling the first communication device to determine the second AI model supported by the second communication device and / or related information of the second AI model supported by the second communication device. Selectively, after the second communication device broadcasts the second AI model information, the method proceeds as follows: The second communication device receives first instruction information from the first communication device. The second communication device further includes determining, based on the first instruction information, that the second AI model exists in the first communication device and / or that an AI model matching the relevant information of the second AI model exists.

[0098] Selectively, the first communication device may first determine the second AI model supported by the second communication device and / or the associated information of the second AI model supported by the second communication device, and if the first communication device discovers that the second AI model is included in all the AI ​​models stored in itself, it may transmit the first instruction information to the second communication device and notify the second communication device that the second AI model exists and / or that there is an AI model that matches the associated information of the second AI model.

[0099] Selectively, after receiving instruction information from the first communication device, the second communication device may send an AI model information request to the first communication device, thereby requesting the first AI model and / or related information of the first AI model; after the first communication device receives the AI ​​model information request, it may send the first AI model and / or related information of the first AI model to the second communication device. For example, after receiving the first instruction information, the network-side device can send an AI model information request to the terminal, thereby requesting the first AI model and / or related information of the first AI model. After receiving the AI ​​model information request, the terminal can send the first AI model and / or related information of the first AI model to the network side.

[0100] For example, a network-side device can broadcast information about a second AI model it supports and / or information about a second AI model supported by a second communication device. After receiving this broadcast information, a terminal can determine which second AI model is supported by the second communication device and / or information about a second AI model supported by the second communication device. If the terminal discovers that all AI models stored within itself include a second AI model, it can send first instruction information to the network-side device to notify the network-side device that a second AI model exists in the terminal and / or that an AI model matching the information about the second AI model exists. After receiving the first instruction information, the network-side device can send an AI model information request to the terminal, thereby requesting the first AI model and / or information about the first AI model. After receiving the AI ​​model information request, the terminal can send the first AI model and / or information about the first AI model to the network side.

[0101] Selectively, the above method, The second communication device receives the second instruction information from the first communication device. The second communication device further includes, based on the second instruction information, that an AI model exists in the terminal and / or that the terminal has model inference capabilities.

[0102] Selectively, the first communication device may pre-transmit second instruction information to the second communication device to notify the second communication device that an AI model exists in the first communication device. Selectively, after receiving the second instruction information, the second communication device may send an AI model information request to the first communication device, thereby requesting the first AI model and / or related information of the first AI model, and after the first communication device receives the AI ​​model information request, it may send the first AI model and / or related information of the first AI model to the second communication device.

[0103] Selectively, if the first communication device is the source cell for the switchover and the second communication device is the target cell for the switchover, the first AI model information is included in the switchover request.

[0104] Selectively, if the first communication device is a cell with an access history in the RRC recovery process, and the second communication device is the most recently accessed cell in the RRC recovery process, the first AI model information is included in the terminal context information.

[0105] In the embodiments of this application, a first communication device transmits first AI model information stored in a terminal to a second communication device, thereby instructing the network side or communication partner on the first AI model stored in the terminal and / or related information of the first AI model, so that the network side or communication partner can perform timely management such as appropriate configuration, updating, activation, and deactivation of the first AI model stored in the terminal, thereby improving the efficiency of AI model management, avoiding the terminal being repeatedly configured with the same model or a model with the same function, and saving resources.

[0106] In one embodiment, the first communication device is a terminal and the second communication device is a network-side device, and the first AI model and / or related information of the first AI model may be reported in the form of terminal capability information. Figure 6 is one schematic diagram of AI model information transmission according to an embodiment of this application, and as shown in Figure 6, it may include the following steps.

[0107] Step (1) The network sends a terminal capability request to the terminal, and the terminal capability request may include an AI model information request, that is, the content included in the terminal capability request is AI models corresponding to a specific model identifier range and / or related information for AI models corresponding to a specific model identifier range, AI models for specific model functions and / or related information for AI models for specific model functions, AI models to be activated within a specific domain and / or related information of AI models to be activated within a specific domain, AI models to be enabled in a specific network configuration and / or related information to AI models to be enabled in a specific network configuration, AI models to be enabled with specific channel environment parameters and / or related information to AI models to be enabled with specific channel environment parameters, AI models that are in an enabled state and / or related information of AI models that are in an enabled state, Active AI models and / or related information to active AI models, AI models in an inactive state and / or related information of AI models in an inactive state, This is used to request at least one of all AI models stored in the terminal and / or related information of all AI models stored in the terminal.

[0108] Step (2) The terminal transmits terminal capability feedback to the network-side equipment and is used to feed back conventional AI model information that includes first AI model information and satisfies the screening conditions. A model identifier for the first AI model to uniquely identify the first AI model, The model function of the first AI model mentioned above, The model activation conditions for the first AI model mentioned above, The model active state of the first AI model, The model data size of the first AI model mentioned above, The second communication device has model authentication information for the first AI model for identifying or authenticating the first AI model, It includes at least one of the following: the model structure information of the first AI model.

[0109] Here, the model activation conditions are: Activation area and Activation time, Activation configuration and, Includes at least one of the activation channel environment parameters.

[0110] Step (3) After the terminal has provided feedback on its capabilities, if the terminal-side AI model and / or related information of the AI ​​model has changed, it can send a terminal capability update to the network-side equipment. The update can include adding, changing, or deleting the AI ​​model and / or related information of the AI ​​model based on the model identifier.

[0111] In one embodiment, the first communication device is a terminal and the second communication device is a network-side device, and the first AI model and / or related information of the first AI model may be reported in a form that the terminal feeds back after combining capability instructions with network-side device requests, and Figure 7 is a second schematic diagram of AI model information transmission according to an embodiment of the present application, and as shown in Figure 7, it may include the following steps.

[0112] Step (1) The network sends a terminal capability request to the terminal, Step (2) The terminal may indicate in terminal capability feedback that the AI ​​model is already memorized or that the terminal has model inference capability.

[0113] Selectively, instructions may also be based on functional granularity. For example, the terminal includes second instruction information in the terminal capability feedback. Selectively, the second instruction information is used to indicate that the terminal already has an AI model stored in it or that the terminal possesses model inference capabilities.

[0114] Step (3) The network sends a terminal information request to the terminal, which may include an AI model information request, i.e., the content included in the terminal capability request is: AI models corresponding to a specific model identifier range and / or related information for AI models corresponding to a specific model identifier range, AI models for specific model functions and / or related information for AI models for specific model functions, AI models to be activated within a specific domain and / or related information of AI models to be activated within a specific domain, AI models to be enabled in a specific network configuration and / or related information to AI models to be enabled in a specific network configuration, AI models to be enabled with specific channel environment parameters and / or related information to AI models to be enabled with specific channel environment parameters, AI models that are in an enabled state and / or related information of AI models that are in an enabled state, Active AI models and / or related information to active AI models, AI models in an inactive state and / or related information of AI models in an inactive state, This is used to request at least one of all AI models stored in the terminal and / or related information of all AI models stored in the terminal.

[0115] Step (4) The terminal sends terminal information feedback to the network-side device, which may include first AI model information. Step (5) After the terminal has provided feedback on its capabilities, if the terminal-side AI model and / or related information of the AI ​​model has changed, it can send a terminal capability update to the network-side equipment. The update can include adding, changing, or deleting the AI ​​model and / or related information of the AI ​​model based on the model identifier.

[0116] In one embodiment, the first communication device is a terminal and the second communication device is a network-side device. The first AI model and / or related information of the first AI model may be reported in a form that the terminal feeds back after combining the RRC message instruction with the network-side device request. Figure 8 is the third schematic diagram of AI model information transmission according to an embodiment of this application, and as shown in Figure 8, it may include the following steps.

[0117] Step (1) The base station broadcasts the second AI model information, and the second AI model information is Supported AI features and Network configuration related to supported AI features, Channel environment parameters related to supported AI functions, It may include at least one of the supported AI model identifiers.

[0118] Step (2) After receiving the broadcast information, the terminal can determine the relevant information for the second AI model supported by the base station and / or the second AI model supported by the second communication device. The terminal may selectively include either the first or second instruction information in the RRC message. Selectively, the first instruction information is used to indicate that a second AI model supported by the base station is stored in the terminal and / or that an AI model matching the associated information of the second AI model exists. Selectively, the first instruction information is used to indicate that the terminal already has an AI model stored in it or that the terminal has model inference capabilities. Selectively, the terminal may also instruct the completion of RRC establishment / reconfiguration / recovery to update already stored AI models and / or AI models (via the first or second instruction information).

[0119] Step (3) The network sends a terminal information request to the terminal, which may include an AI model information request, i.e., the content included in the terminal capability request is: AI models corresponding to a specific model identifier range and / or related information for AI models corresponding to a specific model identifier range, AI models for specific model functions and / or related information for AI models for specific model functions, AI models to be activated within a specific domain and / or related information of AI models to be activated within a specific domain, AI models to be enabled in a specific network configuration and / or related information to AI models to be enabled in a specific network configuration, AI models to be enabled with specific channel environment parameters and / or related information to AI models to be enabled with specific channel environment parameters, AI models that are in an enabled state and / or related information of AI models that are in an enabled state, Active AI models and / or related information to active AI models, AI models in an inactive state and / or related information of AI models in an inactive state, This is used to request at least one of all AI models stored in the terminal and / or related information of all AI models stored in the terminal.

[0120] Step (4) The terminal sends terminal information feedback to the network-side device, which may include the first AI model information.

[0121] In the embodiments of this application, a first communication device transmits first AI model information stored in a terminal to a second communication device, thereby instructing the network side or communication partner on the first AI model stored in the terminal and / or related information of the first AI model, so that the network side or communication partner can perform timely management such as appropriate configuration, updating, activation, and deactivation of the first AI model stored in the terminal, thereby improving the efficiency of AI model management, avoiding the terminal being repeatedly configured with the same model or a model with the same function, and saving resources.

[0122] Figure 9 is one of the schematic diagrams of the structure of an AI model information transmission device according to an embodiment of the present application, and as shown in Figure 9, the AI ​​model information transmission device 900 includes a first transmission module 910, where, The first transmission module 910 is used to transmit first AI model information to a second communication device, the first AI model information is used to indicate the first AI model and / or related information of the first AI model, the first AI model is an AI model stored in the terminal. Here, the first communication device is the terminal, and the second communication device is the communication partner of the terminal, or The first communication device is the source cell for switching the terminal, and the second communication device is the target cell for switching the terminal, or The first communication device is a cell with an access history in the terminal's RRC recovery process, and the second communication device is a new access cell in the terminal's RRC recovery process.

[0123] The AI ​​model information transmission device according to the embodiment of this application can realize each process realized by each of the above-described method embodiments and achieve the same technical effects, and to avoid repetition of the explanation, it will not be explained further here.

[0124] In the embodiments of this application, a first communication device transmits first AI model information stored in a terminal to a second communication device, thereby instructing the network side or communication partner on the first AI model stored in the terminal and / or related information of the first AI model, so that the network side or communication partner can perform timely management such as appropriate configuration, updating, activation, and deactivation of the first AI model stored in the terminal, thereby improving the efficiency of AI model management, avoiding the terminal being repeatedly configured with the same model or a model with the same function, and saving resources.

[0125] Selectively, the first AI model information is A model identifier for the first AI model to uniquely identify the first AI model, The model function of the first AI model mentioned above, The model activation conditions for the first AI model mentioned above, The model active state of the first AI model, The model data size of the first AI model mentioned above, The second communication device has model authentication information for the first AI model for identifying or authenticating the first AI model, It includes at least one of the following: the model structure information of the first AI model.

[0126] Selectively, the model activation conditions are: Activation area and Activation time, Activation configuration and, Includes at least one of the activation channel environment parameters.

[0127] Selectively, the apparatus, The first communication device further includes a second receiving module for receiving an AI model information request before transmitting the first AI model information to the second communication device, the AI ​​model information request being used to request the first AI model information.

[0128] Selectively, the AI ​​model information request is, AI models corresponding to a specific model identifier range and / or related information for AI models corresponding to a specific model identifier range, AI models for specific model functions and / or related information for AI models for specific model functions, AI models to be activated within a specific domain and / or related information of AI models to be activated within a specific domain, AI models to be enabled in a specific network configuration and / or related information to AI models to be enabled in a specific network configuration, AI models to be enabled with specific channel environment parameters and / or related information to AI models to be enabled with specific channel environment parameters, AI models that are in an enabled state and / or related information of AI models that are in an enabled state, Active AI models and / or related information to active AI models, AI models in an inactive state and / or related information of AI models in an inactive state, This is used to request at least one of all AI models stored in the terminal and / or related information of all AI models stored in the terminal.

[0129] Selectively, if the first communication device is the terminal and the second communication device is the communication partner of the terminal, the device shall The first communication device further includes a first determination module for determining second AI model information before transmitting first AI model information to the second communication device, wherein the second AI model information is used to indicate the second AI model and / or related information of the second AI model, and the second AI model is an AI model supported by the second communication device.

[0130] Selectively, the apparatus, The first communication device further includes a second transmission module for transmitting first instruction information to the second communication device after the first communication device has determined second AI model information, the first instruction information being used to characterize the first communication device that the second AI model exists and / or that an AI model matching the associated information of the second AI model exists.

[0131] Selectively, the first decision module, Upon receiving broadcast information from the second communication device, The broadcast information is used to determine the second AI model information.

[0132] Selectively, the apparatus, The device further includes a third transmitting module for transmitting second instruction information to the second communication device, the second instruction information being used to characterize the presence of an AI model in the terminal and / or the terminal having model inference capabilities.

[0133] Selectively, if the first communication device is the source cell for the switchover and the second communication device is the target cell for the switchover, the first AI model information is included in the switchover request.

[0134] Selectively, if the first communication device is a cell with an access history in the RRC recovery process, and the second communication device is a newly accessed cell in the RRC recovery process, the first AI model information is included in the terminal context information.

[0135] In the embodiments of this application, a first communication device transmits first AI model information stored in a terminal to a second communication device, thereby instructing the network side or communication partner on the first AI model stored in the terminal and / or related information of the first AI model, so that the network side or communication partner can perform timely management such as appropriate configuration, updating, activation, and deactivation of the first AI model stored in the terminal, thereby improving the efficiency of AI model management, avoiding the terminal being repeatedly configured with the same model or a model with the same function, and saving resources.

[0136] The AI ​​model information transmission device in the embodiments of this application may be an electronic device, such as an electronic device having an operating system, or a component of an electronic device, such as an integrated circuit or a chip. This electronic device may be a terminal or other device. Exemplarily, a terminal may include, but is not limited to, the types of terminals 11 listed above, and other devices may be servers, network-attached storage (NAS), etc., and the embodiments of this application are not specifically limited.

[0137] The AI ​​model information transmission device according to the embodiment of this application can implement each process realized by the embodiment of the method shown in Figures 4 to 8 and achieve the same technical effects, and to avoid repetition of explanation, it will not be explained further here.

[0138] Figure 10 is a schematic diagram of the structure of an AI model information transmission device according to an embodiment of the present application, and as shown in Figure 10, the AI ​​model information transmission device 1000 includes a first receiving module 1010, where, The first receiving module 1010 is used to receive first AI model information from a first communication device, the first AI model information is used to indicate the first AI model and / or related information of the first AI model, the first AI model is an AI model stored in the terminal, Here, the first communication device is the terminal, and the second communication device is the communication partner of the terminal, or The first communication device is the source cell for switching the terminal, and the second communication device is the target cell for switching the terminal, or The first communication device is a cell with an access history in the terminal's RRC recovery process, and the second communication device is a new access cell in the terminal's RRC recovery process.

[0139] The AI ​​model information transmission device according to the embodiment of this application can realize each process realized by each of the above-described method embodiments and achieve the same technical effects, and to avoid repetition of the explanation, it will not be explained further here.

[0140] In the embodiments of this application, a first communication device transmits first AI model information stored in a terminal to a second communication device, thereby instructing the network side or communication partner on the first AI model stored in the terminal and / or related information of the first AI model, so that the network side or communication partner can perform timely management such as appropriate configuration, updating, activation, and deactivation of the first AI model stored in the terminal, thereby improving the efficiency of AI model management, avoiding the terminal being repeatedly configured with the same model or a model with the same function, and saving resources.

[0141] Selectively, the first AI model information is A model identifier for the first AI model to uniquely identify the first AI model, The model function of the first AI model mentioned above, The model activation conditions for the first AI model mentioned above, The model active state of the first AI model, The model data size of the first AI model mentioned above, The second communication device has model authentication information for the first AI model for identifying or authenticating the first AI model, It includes at least one of the following: the model structure information of the first AI model.

[0142] Selectively, the model activation conditions are: Activation area and Activation time, Activation configuration and, Includes at least one of the activation channel environment parameters.

[0143] Selectively, the apparatus, The second communication device further includes a fourth transmission module for sending an AI model information request to the first communication device before the second communication device receives the first AI model information from the first communication device, the AI ​​model information request being used to request the first AI model information.

[0144] Selectively, the AI ​​model information request is, AI models corresponding to a specific model identifier range and / or related information for AI models corresponding to a specific model identifier range, AI models for specific model functions and / or related information for AI models for specific model functions, AI models to be activated within a specific domain and / or related information of AI models to be activated within a specific domain, AI models to be enabled in a specific network configuration and / or related information to AI models to be enabled in a specific network configuration, AI models to be enabled with specific channel environment parameters and / or related information to AI models to be enabled with specific channel environment parameters, AI models that are in an enabled state and / or related information of AI models that are in an enabled state, Active AI models and / or related information to active AI models, AI models in an inactive state and / or related information of AI models in an inactive state, This is used to request at least one of all AI models stored in the terminal and / or related information of all AI models stored in the terminal.

[0145] Selectively, if the first communication device is the terminal and the second communication device is the communication partner of the terminal, the device shall The system further includes a broadcast module for broadcasting a second AI model information, the second AI model information being used to indicate a second AI model and / or related information of the second AI model, the second AI model being an AI model supported by the second communication device.

[0146] Selectively, the apparatus, After the second communication device broadcasts the second AI model information, a third receiving module for receiving the first instruction information from the first communication device, The system further includes a second determination module for determining, based on the first instruction information, whether the second AI model exists in the first communication device and / or whether an AI model matching the relevant information of the second AI model exists.

[0147] Selectively, the apparatus, A fourth receiving module for receiving second instruction information from the first communication device, The system further includes a third decision module for determining, based on the second instruction information, whether an AI model exists on the terminal and / or whether the terminal possesses model inference capabilities.

[0148] Selectively, if the first communication device is the source cell for the switchover and the second communication device is the target cell for the switchover, the first AI model information is included in the switchover request.

[0149] Selectively, if the first communication device is a cell with an access history in the RRC recovery process, and the second communication device is the most recently accessed cell in the RRC recovery process, the first AI model information is included in the terminal context information.

[0150] In the embodiment of the present application, the AI ​​model information transmission method may be implemented by an AI model information transmission device. In the embodiment of the present application, the AI ​​model information transmission device will be described as an example in which the AI ​​model information transmission device implements the AI ​​model information transmission method.

[0151] The AI ​​model information transmission device in the embodiments of this application may be an electronic device, such as an electronic device having an operating system, or a component of an electronic device, such as an integrated circuit or a chip. This electronic device may be a terminal or other device. Exemplarily, a terminal may include, but is not limited to, the types of terminals 11 listed above, and other devices may be servers, network-attached storage (NAS), etc., and the embodiments of this application are not specifically limited.

[0152] The AI ​​model information transmission device according to the embodiment of this application can realize each process realized by the embodiment of the method shown in Figures 5 to 8 and achieve the same technical effects, and to avoid repetition of explanation, it will not be explained further here.

[0153] Selectively, Figure 11 is a schematic diagram of the structure of a communication device according to an embodiment of the present application, and as shown in Figure 11, the embodiment of the present application further provides a communication device 1100 including a processor 1101 and a memory 1102, wherein the memory 1102 stores a program or instruction that can be executed on the processor 1101, for example, if this communication device 1100 is a first communication device, when this program or instruction is executed by the processor 1101, each step of the embodiment of the AI ​​model information transmission method described above can be realized and the same technical effect can be achieved. If this communication device 1100 is a second communication device, when this program or instruction is executed by the processor 1101, each step of the embodiment of the AI ​​model information transmission method described above can be realized and the same technical effect can be achieved. To avoid repetition of the explanation, no further explanation is provided here.

[0154] Embodiments of this application further provide a first communication device including a processor and a communication interface, wherein the communication interface is It is used to transmit first AI model information to a second communication device, the first AI model information is used to indicate the first AI model and / or related information of the first AI model, and the first AI model is an AI model stored in the terminal. Here, the first communication device is the terminal, and the second communication device is the communication partner of the terminal, or The first communication device is the source cell for switching the terminal, and the second communication device is the target cell for switching the terminal, or The first communication device is a cell with an access history in the terminal's RRC recovery process, and the second communication device is a new access cell in the terminal's RRC recovery process.

[0155] This first embodiment of the communication device corresponds to the embodiment of the first communication device side method described above, and each implementation process and implementation method of the embodiment of the above method can be applied to this first embodiment of the communication device and achieve the same technical effects. Figure 12 is a schematic diagram of the hardware structure of the first communication device realizing the embodiment of this application.

[0156] The first communication device may be a terminal 1200, which includes, but is not limited to, at least some of the following components: a radio frequency unit 1201, a network module 1202, an audio output unit 1203, an input unit 1204, a sensor 1205, a display unit 1206, a user input unit 1207, an interface unit 1208, a memory 1209, and a processor 1210.

[0157] As those skilled in the art will understand, the terminal 1200 may further include a power supply (e.g., a battery) to power each component, and the power supply may be logically connected to the processor 1210 by a power management system, thereby enabling functions such as charge / discharge management and power consumption management by the power management system. The terminal structure shown in Figure 12 does not constitute a limitation on the terminal, and the terminal may include more or fewer components than those shown, or combinations of some components, or configurations of different components, which will not be described further here.

[0158] It should be understood that in the embodiments of this application, the input unit 1204 may include a graphics processing unit (GPU) 12041 and a microphone 12042, the graphics processor 12041 processing still images or video image data obtained by an image capture device (e.g., a camera) in video capture mode or image capture mode. The display unit 1206 may include a display panel 12061, which may be configured in the form of a liquid crystal display, organic light-emitting diodes, etc. The user input unit 1207 includes at least one of a touch panel 12071 and other input devices 12072. The touch panel 12071 is also called a touchscreen. The touch panel 12071 may include two parts: a touch detection device and a touch controller. The other input devices 12072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control buttons, switch buttons, etc.), a trackball, a mouse, or an operating lever, and will not be described further here.

[0159] In the embodiments of this application, the radio frequency unit 1201 can receive downlink data from network-side equipment and transmit it to the processor 1210 for processing, and the radio frequency unit 1201 can also transmit uplink data to network-side equipment. Generally, the radio frequency unit 1201 includes, but is not limited to, an antenna, amplifier, transceiver, coupler, low-noise amplifier, duplexer, etc.

[0160] Memory 1209 may be used to store software programs or instructions and various types of data. Memory 1209 may include a first storage area mainly for storing programs or instructions and a second storage area for storing data, where the first storage area can store an operating system, an application program or instructions necessary for at least one function (e.g., audio playback function, image playback function, etc.), etc. Memory 1209 may also include volatile memory or non-volatile memory, or memory 1209 may include both volatile and non-volatile memory. Here, non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electrically erasable programmable read-only memory (Electrically EPROM, EEPROM), or flash memory. The volatile memory may be Random Access Memory (RAM), Static Random Access Memory (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (Synchronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (Double Data Rate SDRAM, DDRSDRAM), Enhanced Synchronous Dynamic Random Access Memory (Enhanced SDRAM, ESDRAM), Synch-link Dynamic Random Access Memory (Synch-link DRAM, SLDRAM), and Direct Memory Bus Random Access Memory (Direct Rambus RAM, DRRAM). The memory 1209 in the embodiments of this application includes, but is not limited to, these and any other suitable types of memory.

[0161] The processor 1210 may include one or more processing units, and selectively, the processor 1210 integrates an application processor and a modem processor, where the application processor mainly handles operations related to the operating system, user interface and application programs, and the modem processor mainly handles wireless communication signals, such as a baseband processor. To be clear, the above modem processor does not have to be integrated into the processor 1210.

[0162] Selectively, processor 1210, It is used to transmit first AI model information to a second communication device, the first AI model information is used to indicate the first AI model and / or related information of the first AI model, and the first AI model is an AI model stored in the terminal. Here, the first communication device is the terminal, and the second communication device is the communication partner of the terminal, or The first communication device is the source cell for switching the terminal, and the second communication device is the target cell for switching the terminal, or The first communication device is a cell with an access history in the terminal's RRC recovery process, and the second communication device is a new access cell in the terminal's RRC recovery process.

[0163] In the embodiments of this application, a first communication device transmits first AI model information stored in a terminal to a second communication device, thereby instructing the network side or communication partner on the first AI model stored in the terminal and / or related information of the first AI model, so that the network side or communication partner can perform timely management such as appropriate configuration, updating, activation, and deactivation of the first AI model stored in the terminal, thereby improving the efficiency of AI model management, avoiding the terminal being repeatedly configured with the same model or a model with the same function, and saving resources.

[0164] Selectively, the first AI model information is A model identifier for the first AI model to uniquely identify the first AI model, The model function of the first AI model mentioned above, The model activation conditions for the first AI model mentioned above, The model active state of the first AI model, The model data size of the first AI model mentioned above, The second communication device has model authentication information for the first AI model for identifying or authenticating the first AI model, It includes at least one of the following: the model structure information of the first AI model.

[0165] Selectively, the model activation conditions are: Activation area and Activation time, Activation configuration and, Includes at least one of the activation channel environment parameters.

[0166] Selectively, processor 1210, The first communication device is used to receive an AI model information request before transmitting the first AI model information to the second communication device, and the AI ​​model information request is used to request the first AI model information.

[0167] Selectively, the AI ​​model information request is, AI models corresponding to a specific model identifier range and / or related information for AI models corresponding to a specific model identifier range, AI models for specific model functions and / or related information for AI models for specific model functions, AI models to be activated within a specific domain and / or related information of AI models to be activated within a specific domain, AI models to be enabled in a specific network configuration and / or related information to AI models to be enabled in a specific network configuration, AI models to be enabled with specific channel environment parameters and / or related information to AI models to be enabled with specific channel environment parameters, AI models that are in an enabled state and / or related information of AI models that are in an enabled state, Active AI models and / or related information to active AI models, AI models in an inactive state and / or related information of AI models in an inactive state, This is used to request at least one of all AI models stored in the terminal and / or related information of all AI models stored in the terminal.

[0168] Selectively, if the first communication device is the terminal and the second communication device is the communication partner of the terminal, the processor 1210: The first communication device is used to determine the second AI model information before transmitting the first AI model information to the second communication device, the second AI model information is used to indicate the second AI model and / or related information of the second AI model, and the second AI model is an AI model supported by the second communication device.

[0169] Selectively, processor 1210, After the first communication device determines the second AI model information, it transmits the first instruction information to the second communication device, which is used to indicate that the second AI model exists in the first communication device and / or that an AI model matching the associated information of the second AI model exists.

[0170] Selectively, processor 1210, Upon receiving broadcast information from the second communication device, The broadcast information is used to determine the second AI model information.

[0171] Selectively, processor 1210, Transmit second instruction information to the second communication device, where the second instruction information is used to characterize that an AI model exists in the terminal and / or the terminal has model inference capabilities.

[0172] Optionally, when the first communication device is the source cell for the handover and the second communication device is the target cell for the handover, the first AI model information is included in the handover request.

[0173] Optionally, when the first communication device is a cell with an access history in the RRC recovery process and the second communication device is a new access cell in the RRC recovery process, the first AI model information is included in the terminal context information.

[0174] In an embodiment of the present application, the first AI model information stored in the terminal by the first communication device is transmitted to the second communication device, thereby instructing the network side or the communication partner side about the first AI model stored in the terminal and / or related information of the first AI model. Thereby, the network side or the communication partner side can timely perform management such as appropriate configuration, update, activation, deactivation, etc. on the first AI model stored in the terminal, improve the management efficiency of the AI model, avoid the terminal being repeatedly configured with the same model or models with the same function, and save resources.

[0175] The embodiment of the present application further provides a second communication device including a processor and a communication interface, where the communication interface receives the first AI model information from the first communication device, and the first AI model information is used to instruct the first AI model and / or related information of the first AI model, and the first AI model is an AI model stored in the terminal, where the first communication device is the terminal, and the second communication device is the communication partner side of the terminal, or The first communication device is the source cell for switching the terminal, and the second communication device is the target cell for switching the terminal, or The first communication device is a cell with an access history in the terminal's RRC recovery process, and the second communication device is a new access cell in the terminal's RRC recovery process.

[0176] This second embodiment of the communication device corresponds to the embodiment of the second communication device method described above, and each implementation process and implementation method of the embodiment of the method described above can be applied to this second embodiment of the communication device and achieve the same technical effects.

[0177] Specifically, embodiments of this application further provide a second communication device. Figure 13 is a schematic diagram of the hardware structure realizing the second communication device of embodiments of this application, and as shown in Figure 13, this second device 1300 includes a processor 1301, a network interface 1302, and a memory 1303. Here, the network interface 1302 is, for example, a common public radio interface (CPRI).

[0178] Specifically, the second device 1300 of the embodiment of the present invention further includes instructions or programs stored in memory 1303 and operable on processor 1301, the processor 1301 can call instructions or programs in memory 1303 and perform the same technical effects as those performed by each module shown in Figure 10, and will not be described further here to avoid repetition of the explanation.

[0179] Selectively, processor 1301, The system receives first AI model information from a first communication device, and the first AI model information is used to indicate the first AI model and / or related information of the first AI model, and the first AI model is an AI model stored in the terminal. Here, the first communication device is the terminal, and the second communication device is the communication partner of the terminal, or The first communication device is the source cell for switching the terminal, and the second communication device is the target cell for switching the terminal, or The first communication device is a cell with an access history in the terminal's RRC recovery process, and the second communication device is a new access cell in the terminal's RRC recovery process.

[0180] In the embodiments of this application, a first communication device transmits first AI model information stored in a terminal to a second communication device, thereby instructing the network side or communication partner on the first AI model stored in the terminal and / or related information of the first AI model, so that the network side or communication partner can perform timely management such as appropriate configuration, updating, activation, and deactivation of the first AI model stored in the terminal, thereby improving the efficiency of AI model management, avoiding the terminal being repeatedly configured with the same model or a model with the same function, and saving resources.

[0181] Selectively, the first AI model information is A model identifier for the first AI model to uniquely identify the first AI model, The model function of the first AI model mentioned above, The model activation conditions for the first AI model mentioned above, The model active state of the first AI model, The model data size of the first AI model mentioned above, The second communication device has model authentication information for the first AI model for identifying or authenticating the first AI model, It includes at least one of the following: the model structure information of the first AI model.

[0182] Selectively, the model activation conditions are: Activation area and Activation time, Activation configuration and, Includes at least one of the activation channel environment parameters.

[0183] Selectively, processor 1301, The second communication device is used to send an AI model information request to the first communication device before it receives the first AI model information from the first communication device, and the AI ​​model information request is used to request the first AI model information.

[0184] Selectively, the AI ​​model information request is, AI models corresponding to a specific model identifier range and / or related information for AI models corresponding to a specific model identifier range, AI models for specific model functions and / or related information for AI models for specific model functions, AI models to be activated within a specific domain and / or related information of AI models to be activated within a specific domain, AI models to be enabled in a specific network configuration and / or related information to AI models to be enabled in a specific network configuration, AI models to be enabled with specific channel environment parameters and / or related information to AI models to be enabled with specific channel environment parameters, AI models that are in an enabled state and / or related information of AI models that are in an enabled state, Active AI models and / or related information to active AI models, AI models in an inactive state and / or related information of AI models in an inactive state, This is used to request at least one of all AI models stored in the terminal and / or related information of all AI models stored in the terminal.

[0185] Selectively, if the first communication device is the terminal and the second communication device is the communication partner of the terminal, the processor 1301: It is used to broadcast the second AI model information, and the second AI model information is used to indicate the second AI model and / or related information of the second AI model. The second AI model is an AI model supported by the second communication device.

[0186] Optionally, the processor 1301 After the second communication device broadcasts the second AI model information, it receives the first instruction information from the first communication device, and Based on the first instruction information, it is used to determine that the second AI model exists in the first communication device and / or an AI model that matches the related information of the second AI model exists.

[0187] Optionally, the processor 1301 is used to receive the second instruction information from the first communication device, Based on the second instruction information, it is determined that an AI model exists in the terminal and / or the terminal has model inference capabilities.

[0188] Optionally, when the first communication device is the source cell for the switch and the second communication device is the target cell for the switch, the first AI model information is included in the switch request.

[0189] Optionally, when the first communication device is a cell with an access history in the RRC recovery process and the second communication device is the latest access cell in the RRC recovery process, the first AI model information is included in the terminal context information.

[0190] The AI model information transmission method according to the embodiments of the present application may have an AI model information transmission device as the execution entity. In the embodiments of the present application, taking the example that the AI model information transmission device executes the AI model information transmission method, the AI model information transmission device according to the embodiments of the present application will be described.

[0191] Embodiments of this application further provide a readable storage medium on which a program or instruction is stored, and when this program or instruction is executed by a processor, each process of the embodiment of the AI ​​model information transmission method described above can be realized and the same technical effects can be achieved. To avoid repetition, no further explanation is provided here.

[0192] Here, the processor is the processor in the terminal in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory ROM, random access memory RAM, magnetic disk, or optical disk.

[0193] Embodiments of this application further provide a chip comprising a processor and a communication interface, the communication interface being coupled with the processor, the processor running programs or instructions, and used to implement each process of the embodiment of the AI ​​model information transmission method described above, and achieving the same technical effects. To avoid repetition, no further explanation is provided here.

[0194] It should be understood that the chips referred to in the embodiments of this application may also be called system-level chips, system chips, chip systems, or system-on-a-chip, etc.

[0195] Embodiments of this application further provide a computer program / program product in which the computer program / program product is stored in a storage medium and executed by at least one processor to realize each process of the embodiment of the AI ​​model information transmission method described above and to achieve the same technical effects. To avoid repetition, no further explanation is provided here.

[0196] Embodiments of this application further provide an AI model information transmission system including a first communication device and a second communication device, wherein the first communication device may be used to perform the steps of the AI ​​model information transmission method, and the second communication device may be used to perform the steps of the AI ​​model information transmission method.

[0197] It should be noted that in this specification, the terms “including,” “contains,” or any other variation thereof are intended to cover the non-exclusive “including,” thereby including not only those elements but also other elements not explicitly listed, or elements specific to such process, method, article, or apparatus. Unless otherwise specified, an element limited by the phrase “including one of…” is not excluded from the existence of other identical elements in a process, method, article, or apparatus containing that element. It should also be noted that the scope of methods and apparatus in embodiments of this application is not limited to performing functions in the order shown or discussed, but may include performing functions in a manner that is essentially simultaneous or in reverse order based on the functions involved, for example, performing methods described in a different procedure than that described, and adding, omitting, or combining various steps. Furthermore, features described by reference to some examples may be combined with other examples.

[0198] As will be readily apparent to those skilled in the art from the above description of the embodiments, the methods of the above embodiments can be implemented in the form of software and a necessary general-purpose hardware platform. Of course, they may also be implemented in hardware, but in many cases the former is a more preferred embodiment. With this understanding in mind, the technical proposal of this application may be embodied in the form of a computer software product, either substantially or in part with respect to the prior art. This computer software product is stored on a storage medium (e.g., ROM / RAM, magnetic disk, optical disk) and contains some instructions for causing a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to perform the methods of each embodiment of this application.

[0199] The above describes embodiments of this application, accompanied by drawings; however, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can, by the suggestion of this application, make many forms, as long as they do not deviate from the spirit of this application and the scope protected by the claims, and all of these fall within the scope of protection of this application.

Claims

1. An AI model information transmission method, The first communication device includes transmitting first AI model information to the second communication device, the first AI model information being used to indicate the first AI model and / or related information of the first AI model, the first AI model being an artificial intelligence AI model stored in the terminal. Here, the first communication device is the terminal, and the second communication device is the communication partner of the terminal, or The first communication device is the source cell for switching the terminal, and the second communication device is the target cell for switching the terminal, or The first communication device is a cell with an access history in the terminal's wireless resource control RRC recovery process, and the second communication device is a new access cell in the terminal's RRC recovery process. Before the first communication device transmits the first AI model information to the second communication device, the method: The first communication device further includes receiving an AI model information request, and the AI ​​model information request is used to request the first AI model information. The aforementioned AI model information request is: AI models corresponding to a specific model identifier range and / or related information of AI models corresponding to a specific model identifier range, AI models for specific model functions and / or related information for AI models for specific model functions, AI models to be activated within a specific domain and / or related information of AI models to be activated within a specific domain, AI models to be enabled in a specific network configuration and / or related information to AI models to be enabled in a specific network configuration, AI models to be enabled with specific channel environment parameters and / or related information to AI models to be enabled with specific channel environment parameters, AI models that are in an enabled state and / or related information of AI models that are in an enabled state, Active AI models and / or related information of active AI models, An AI model information transmission method used to request at least one of an AI model in an inactive state and / or related information of an AI model in an inactive state.

2. The aforementioned first AI model information is A model identifier for the first AI model to uniquely identify the first AI model, The model function of the first AI model mentioned above, The model activation conditions for the first AI model, The model active state of the first AI model, The model data size of the first AI model and, The second communication device has model authentication information for the first AI model for identifying or authenticating the first AI model, The AI ​​model information transmission method according to claim 1, comprising at least one of the model structure information of the first AI model.

3. The aforementioned model activation conditions are: Activation area and Activation time, Activation configuration and, The AI ​​model information transmission method according to claim 2, comprising at least one of the following: an activation channel environment parameter.

4. The AI ​​model information request is: The AI ​​model information transmission method according to claim 1, used to further request all AI models stored in the terminal and / or related information of all AI models stored in the terminal.

5. If the first communication device is the terminal and the second communication device is the communication partner of the terminal, the method shall, before the first communication device transmits the first AI model information to the second communication device, The first communication device further includes determining second AI model information, the second AI model information is used to indicate the second AI model and / or related information of the second AI model, the second AI model being an AI model supported by the second communication device. After the first communication device determines the second AI model information, the method proceeds as follows: The first communication device further includes transmitting first instruction information to the second communication device, the first instruction information being used to characterize the first communication device that the second AI model exists and / or that an AI model matching the associated information of the second AI model exists. The first communication device determines the second AI model information, The first communication device receives broadcast information from the second communication device. The AI ​​model information transmission method according to claim 1, wherein the first communication device includes determining the second AI model information based on the broadcast information.

6. The aforementioned method, The AI ​​model information transmission method according to claim 1, further comprising the first communication device transmitting second instruction information to the second communication device, the second instruction information being used to characterize the presence of an AI model in the terminal and / or the terminal having model inference capabilities.

7. If the first communication device is the source cell for the switchover and the second communication device is the target cell for the switchover, the first AI model information is included in the switchover request, or The AI ​​model information transmission method according to claim 1, wherein the first communication device is a cell with an access history in the RRC recovery process, and the second communication device is a new access cell in the RRC recovery process, the first AI model information is included in the terminal context information.

8. An AI model information transmission method, The second communication device includes receiving first AI model information from the first communication device, the first AI model information being used to indicate the first AI model and / or related information of the first AI model, the first AI model being an AI model stored in the terminal. Here, the first communication device is the terminal, and the second communication device is the communication partner of the terminal, or The first communication device is the source cell for switching the terminal, and the second communication device is the target cell for switching the terminal, or The first communication device is a cell with an access history in the terminal's RRC recovery process, and the second communication device is a new access cell in the terminal's RRC recovery process. Before the second communication device receives the first AI model information from the first communication device, the method The second communication device further includes transmitting an AI model information request to the first communication device, the AI ​​model information request being used to request the first AI model information. The aforementioned AI model information request is: AI models corresponding to a specific model identifier range and / or related information of AI models corresponding to a specific model identifier range, AI models for specific model functions and / or related information for AI models for specific model functions, AI models to be activated within a specific domain and / or related information of AI models to be activated within a specific domain, AI models to be enabled in a specific network configuration and / or related information to AI models to be enabled in a specific network configuration, AI models to be enabled with specific channel environment parameters and / or related information to AI models to be enabled with specific channel environment parameters, AI models that are in an enabled state and / or related information of AI models that are in an enabled state, Active AI models and / or related information of active AI models, An AI model information transmission method used to request at least one of an AI model in an inactive state and / or related information of an AI model in an inactive state.

9. The aforementioned first AI model information is A model identifier for the first AI model to uniquely identify the first AI model, The model function of the first AI model mentioned above, The model activation conditions for the first AI model, The model active state of the first AI model, The model data size of the first AI model and, The second communication device has model authentication information for the first AI model for identifying or authenticating the first AI model, The AI ​​model information transmission method according to claim 8, comprising at least one of the model structure information of the first AI model.

10. The aforementioned model activation conditions are: Activation area and Activation time, Activation configuration and, The AI ​​model information transmission method according to claim 9, comprising at least one of the following: an activation channel environment parameter.

11. The AI ​​model information request is: The AI ​​model information transmission method according to claim 8, used to further request all AI models stored in the terminal and / or related information of all AI models stored in the terminal.

12. If the first communication device is the terminal and the second communication device is the communication partner of the terminal, the method is as follows: The second communication device further includes broadcasting second AI model information, the second AI model information being used to indicate the second AI model and / or related information of the second AI model, the second AI model being an AI model supported by the second communication device. After the second communication device broadcasts the second AI model information, the method proceeds as follows: The second communication device receives first instruction information from the first communication device. The AI ​​model information transmission method according to claim 8, further comprising the second communication device determining, based on the first instruction information, that the second AI model exists in the first communication device and / or that an AI model matching the associated information of the second AI model exists.

13. The aforementioned method, The second communication device receives the second instruction information from the first communication device. The AI ​​model information transmission method according to claim 8, further comprising the second communication device determining, based on the second instruction information, that an AI model exists in the terminal and / or that the terminal has model inference capabilities.

14. If the first communication device is the source cell for the switchover and the second communication device is the target cell for the switchover, the first AI model information is included in the switchover request, or The AI ​​model information transmission method according to claim 8, wherein the first communication device is a cell with an access history in the RRC recovery process, and the second communication device is the most recent access cell in the RRC recovery process, the first AI model information is included in the terminal context information.

15. Communication equipment, A communication device comprising a processor and memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the communication device acts as a first communication device to realize the steps of the AI ​​model information transmission method described in any one of claims 1 to 7.

16. A communication device, A communication device comprising a processor and memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the communication device acts as a second communication device to realize the steps of the AI ​​model information transmission method described in any one of claims 8 to 14.

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