Information processing method, node device, terminal, communication system, and storage medium

Abstract

The present disclosure relates to an information processing method, a node device, a terminal, a communication system, and a storage medium. The method comprises: a first node device receives first information, wherein the first information is used for indicating information of an artificial intelligence (AI) function and / or information of an AI model, the AI function and the AI model being supported by a terminal; determining terminal information, wherein the terminal information is used for identifying the terminal; and managing the terminal information, the information of the AI function and / or information of the AI model. Thus, the AI function and / or the AI model supported by the terminal can be managed at a network side.

Description

Information processing method, node device, terminal, communication system and storage medium Technical Field

[0001] The present disclosure relates to the field of communication technology, and in particular to an information processing method, node equipment, terminal, communication system and storage medium. Background Art

[0002] In recent years, artificial intelligence (AI) technology has achieved continuous breakthroughs in various fields. For example, AI technology has been widely applied in education, transportation, home appliances, healthcare, retail, security, and other fields, bringing convenience to people's lives while also promoting industrial upgrades in various fields. In the field of communications, the introduction of AI technology into wireless air interfaces has been proposed to assist in improving wireless air interface transmission technology.

[0003] Summary of the Invention

[0004] The embodiments of the present disclosure provide an information processing method, a node device, a terminal, a communication device, a chip system, a storage medium, a computer program, and a computer program product, which can be applied in the field of communication technology to solve the technical problem that "in related technologies, the AI ​​functions and / or AI models supported by the terminal cannot be managed on the network side."

[0005] The present disclosure provides an information processing method, a node device, a terminal, a communication system, and a storage medium.

[0006] According to a first aspect of an embodiment of the present disclosure, an information processing method is proposed, which is executed by a first node device, including: receiving first information, wherein the first information is used to indicate information about artificial intelligence (AI) functions and / or information about AI models supported by a terminal; determining terminal information, wherein the terminal information is used to identify the terminal; and managing terminal information, and information about AI functions and / or information about AI models.

[0007] According to a second aspect of an embodiment of the present disclosure, an information processing method is proposed, which is executed by a terminal, including: sending first information, wherein the first information is used to indicate information about artificial intelligence (AI) functions and / or information about AI models supported by the terminal.

[0008] According to a third aspect of an embodiment of the present disclosure, an information processing method is proposed, which is executed by a second node device, including: receiving first information, wherein the first information is used to indicate information about artificial intelligence (AI) functions supported by the terminal and / or information about AI models.

[0009] According to a fourth aspect of an embodiment of the present disclosure, an information processing method is proposed, which is executed by a third node device, including: receiving first information, wherein the first information is used to indicate information about an artificial intelligence (AI) function and / or information about an AI model supported by the terminal; obtaining second information and / or third information associated with the AI ​​function, and fourth information and / or fifth information associated with the AI ​​model, wherein the second information is used to describe the conditions of the AI ​​function, the third information is used to describe additional conditions of the AI ​​function, the fourth information is used to describe the conditions of the AI ​​model, and the fifth information is used to describe additional conditions of the AI ​​model; managing information about the AI ​​function, information about the AI ​​model, the second information and / or third information, and the fourth information and / or fifth information.

[0010] According to a fifth aspect of an embodiment of the present disclosure, an information processing method is proposed, which is executed by a fourth node device, including: receiving first information, wherein the first information is used to indicate information about an artificial intelligence (AI) function and / or information about an AI model supported by the terminal; performing a first operation related to the AI ​​function based on the first information, and / or performing a second operation related to the AI ​​model based on the first information.

[0011] According to a sixth aspect of an embodiment of the present disclosure, an information processing method is proposed, including: a terminal sends first information, wherein the first information is used to indicate information about an artificial intelligence (AI) function and / or information about an AI model supported by the terminal; a first node device receives the first information, and determines terminal information, and manages terminal information, and information about the AI ​​function and / or information about the AI ​​model, wherein the terminal information is used to identify the terminal; a second node device, a third node device, and a fourth node device receive the first information; the third node device obtains second information and / or third information associated with the AI ​​function, and fourth information and / or fifth information associated with the AI ​​model, and manages information about the AI ​​function, information about the AI ​​model, the second information and / or third information, and the fourth information and / or fifth information, wherein the second information is used to describe a condition of the AI ​​function, the third information is used to describe an additional condition of the AI ​​function, the fourth information is used to describe a condition of the AI ​​model, and the fifth information is used to describe an additional condition of the AI ​​model; the fourth node device performs a first operation related to the AI ​​function according to the first information, and / or performs a second operation related to the AI ​​model according to the first information.

[0012] According to a seventh aspect of an embodiment of the present disclosure, a node device is proposed, including: a transceiver module for receiving first information, wherein the first information is used to indicate information about an artificial intelligence (AI) function and / or information about an AI model supported by a terminal; or for obtaining second information and / or third information associated with the AI ​​function, and fourth information and / or fifth information associated with the AI ​​model, wherein the second information is used to describe the conditions of the AI ​​function, the third information is used to describe additional conditions of the AI ​​function, the fourth information is used to describe the conditions of the AI ​​model, and the fifth information is used to describe additional conditions of the AI ​​model; a processing module for determining terminal information and managing terminal information, and information about the AI ​​function and / or information about the AI ​​model, wherein the terminal information is used to identify the terminal; or for managing information about the AI ​​function, information about the AI ​​model, the second information and / or the third information, and the fourth information and / or the fifth information; or for performing a first operation related to the AI ​​function according to the first information, and / or performing a second operation related to the AI ​​model according to the first information.

[0013] According to an eighth aspect of an embodiment of the present disclosure, a terminal is proposed, comprising: a transceiver module, configured to send first information, wherein the first information is used to indicate information about artificial intelligence (AI) functions and / or information about AI models supported by the terminal.

[0014] According to the ninth aspect of the embodiment of the present disclosure, a communication device is proposed, comprising: one or more processors; wherein the processor is used to call instructions so that the communication device executes the information processing method of any one of the first aspect, the second aspect, the third aspect, the fourth aspect, the fifth aspect, and the sixth aspect.

[0015] According to the tenth aspect of an embodiment of the present disclosure, a communication system is proposed, characterized in that it includes a first node device, a terminal, a second node device, a third node device, and a fourth node device, wherein the first node device is configured to implement the information processing method of the first aspect, the terminal is configured to implement the information processing method of the second aspect, the second node device is configured to implement the information processing method of the third aspect, the third node device is configured to implement the information processing method of the fourth aspect, and the fourth node device is configured to implement the information processing method of the fifth aspect.

[0016] According to the eleventh aspect of the embodiment of the present disclosure, a storage medium is proposed, which stores instructions, and is characterized in that when the instructions are executed on a communication device, the communication device executes an information processing method such as any one of the first aspect, the second aspect, the third aspect, the fourth aspect, the fifth aspect, and the sixth aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the background technology, the drawings required for use in the embodiments of the present disclosure or the background technology will be described below.

[0018] FIG1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure;

[0019] FIG2 is an interactive schematic diagram illustrating an information processing method according to an embodiment of the present disclosure;

[0020] FIG3A is an interactive schematic diagram illustrating an information processing method according to another embodiment of the present disclosure;

[0021] FIG3B is an interactive schematic diagram illustrating an information processing method according to another embodiment of the present disclosure;

[0022] FIG4A is an interactive schematic diagram illustrating an information processing method according to another embodiment of the present disclosure;

[0023] FIG4B is an interactive schematic diagram illustrating an information processing method according to another embodiment of the present disclosure;

[0024] FIG5A is an interactive schematic diagram illustrating an information processing method according to another embodiment of the present disclosure;

[0025] FIG5B is an interactive schematic diagram illustrating an information processing method according to yet another embodiment of the present disclosure;

[0026] FIG6 is an interactive schematic diagram illustrating an information processing method according to yet another embodiment of the present disclosure;

[0027] FIG7 is an interactive schematic diagram illustrating an information processing method according to yet another embodiment of the present disclosure;

[0028] FIG8A is a schematic diagram of the structure of a node device proposed in an embodiment of the present disclosure;

[0029] FIG8B is a schematic structural diagram of a terminal proposed in an embodiment of the present disclosure;

[0030] FIG9A is a schematic structural diagram of a communication device proposed in an embodiment of the present disclosure;

[0031] FIG9B is a schematic diagram of the structure of the chip proposed in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0032] The present disclosure provides information processing methods and devices, communication devices, communication systems, and storage media. In some embodiments, the terms "information processing method" and "information processing method" and "communication method" are interchangeable; the terms "information processing device" and "information processing device" and "communication device" are interchangeable; and the terms "information processing system" and "communication system" are interchangeable.

[0033] The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0034] In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and / or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.

[0035] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

[0036] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "said", "the", "the", etc., may mean "one and only one", or "one or more", "at least one", etc. For example, when using articles such as "a", "an", "the" in English in translation, the noun following the article may be understood as a singular expression or a plural expression.

[0037] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0038] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0039] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.

[0040] In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, C, etc.

[0041] The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restriction on the position, order, priority, quantity or content of the description objects. For the statement of the description object, please refer to the description in the context of the claims or embodiments, and no unnecessary restriction should be constituted due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields". "First" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number and can be one or more. Taking "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes can be the same or different. For example, if the description object is "device", then the "first device" and the "second device" can be the same device or different devices, and their types can be the same or different; for another example, if the description object is "information", then the "first information" and the "second information" can be the same information or different information, and their contents can be the same or different.

[0042] In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0043] In some embodiments, terms such as "in response to...", "in response to determining...", "in the case of...", "at the time of...", "when...", "if...", "if...", etc. can be used interchangeably.

[0044] In some embodiments, terms such as "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not less than", and "above" can be replaced with each other, and terms such as "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", and "below" can be replaced with each other.

[0045] In some embodiments, devices and equipment can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", etc.

[0046] In some embodiments, "network" can be interpreted as devices included in the network, such as access network equipment, core network equipment, etc.

[0047] In some embodiments, "access network device (AN device)" may also be referred to as "radio access network device (RAN device)", "base station (BS)", "radio base station", "fixed station", and in some embodiments may also be understood as "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission and / or reception point (TRP)" "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femto cell", "pico cell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)", etc.

[0048] In some embodiments, "terminal" or "terminal device" may be referred to as "user equipment (UE)", "user terminal" "mobile station (MS)", "mobile terminal (MT)", subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, etc.

[0049] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0050] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0051] FIG1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure. As shown in FIG1 , a communication system 100 may include a terminal 101 , a core network device 102 , and an access network device 103 .

[0052] In some embodiments, the terminal 101 may include, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited thereto.

[0053] In some embodiments, the core network device 102 may be a single device including a first network element 1021, a second network element 1022, etc., or may be a plurality of devices or a device group including all or part of the first network element 1021 and the second network element 1022. The network element may be virtual or physical. The core network may include, for example, at least one of an evolved packet core (EPC), a 5G core network (5GCN), and a next generation core (NGC).

[0054] In some embodiments, the first network element 1021 is, for example, an Access and Mobility Management Function (AMF) network element, but the name is not limited thereto. The AMF network element is a logical node function network element on the core network side. It is an access point for the terminal and wireless core network control plane, receives all connection and session related information from the user equipment, and performs registration, connection, reachability, and mobility management. In addition, the AMF network element provides a session management message transmission channel for the terminal device and the session management function (SMF) device, and provides authentication and authorization functions for user access.

[0055] In some embodiments, the first network element 1021 is used to provide access and mobility management functions.

[0056] In some embodiments, the second network element 1022 is, for example, a location management function (LMF) network element that provides positioning services, and the name is not limited thereto. The LMF network element is located on the core network (CN) side and is used to provide location management function services to terminals. The LMF network element is used to coordinate the overall positioning and resource scheduling of terminals registered with or accessing the 5G core network (5GCN).

[0057] In some embodiments, the second network element 1022 is used to provide location management functionality.

[0058] In some embodiments, the terminal 101 and the core network device 102 can be connected through an access network device 103. Optionally, the access network device is, for example, a node or device that accesses the terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a wireless fidelity (WiFi) system, but is not limited thereto.

[0059] In some embodiments, the access network device 103 can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit. The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0060] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution proposed in the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution proposed in the embodiment of the present disclosure is also applicable to similar technical problems.

[0061] The following embodiments of the present disclosure may be applied to the communication system 100 shown in Figure 1, or a portion thereof, but are not limited thereto. The entities shown in Figure 1 are illustrative only. The communication system may include all or part of the entities shown in Figure 1, or may include other entities outside of Figure 1. The number and form of the entities may be arbitrary. The connection relationship between the entities is illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0062] The embodiments of the present disclosure may be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G New Radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New Radio Access (NX), Future Generation Radio Access (FX), Global System for Mobile Communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.17 (WiMAX (registered trademark)), IEEE 802.18 (WiMAX (registered trademark)), IEEE 802.19 (WiMAX (registered trademark)), IEEE 802.20 (WiMAX (registered trademark)), IEEE 802.21 (WiMAX (registered trademark)), IEEE 802.22 (WiMAX (registered trademark)), IEEE 802.23 (WiMAX (registered trademark)), IEEE 802.24 (WiMAX (registered trademark)), IEEE 802.25 (WiMAX (registered trademark)), IEEE 802.26 (WiMAX (registered trademark)), IEEE 802.27 (WiMAX (registered trademark)), IEEE 802.28 (WiMAX (registered trademark)), IEEE 802.29 (WiMAX (registered trademark)), IEEE 802.30 (WiMAX (registered trademark)), IEEE 802.31 (WiMAX (registered trademark)), IEEE 802.32 (WiMAX (registered trademark)), IEEE 802.33 (WiMAX (registered trademark)), 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X), systems utilizing other user plane connection establishment methods, and next-generation systems based on and extending these systems. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G).

[0063] Optionally, in the research of wireless AI, application cases of AI technology can include, for example, AI-based channel state information (CSI) enhancement; AI-based beam management; and AI-based positioning.

[0064] Optionally, each model is associated with a condition and / or an additional condition, and each functionality is associated with a condition and / or an additional condition. The condition may be included in the terminal capability (e.g., UE capability). The condition is, for example, the output parameter type of the model, the output dimension, the input parameter type, the input dimension, etc. The additional condition is information on various aspects considered during model training, for example, the application scenario information corresponding to the training data. The application scenario information includes, for example, the scenario type, the configuration or implementation information on the network side, and the information on the terminal side. The scenario type may be, for example, indoor or outdoor, macro cell or micro cell; the configuration or implementation information on the network side may be, for example, the antenna information and beam implementation information on the network side; the information on the terminal side may be, for example, the moving speed on the terminal side.

[0065] Optionally, the network may record the first information and / or the second information corresponding to the AI ​​functionality / AI model supported by the network.

[0066] Optionally, the terminal may support a limited number of AI functions and / or AI models. However, in related art, it is not possible to manage the AI ​​functions and / or AI models supported by the terminal on the network side.

[0067] FIG2 is an interactive diagram of an information processing method according to an embodiment of the present disclosure. As shown in FIG2 , the present disclosure embodiment relates to an information processing method that can be used in a communication system 100. The method includes:

[0068] Step S2101: The terminal sends first information.

[0069] The first information is used to indicate information about artificial intelligence (AI) functions and / or AI models supported by the terminal.

[0070] In some embodiments, AI function information can be used to describe the AI ​​function. Examples of AI function information include the name, function type, and identifier of the AI ​​function. AI model information can be used to describe the AI ​​model. Examples of AI model information include the name, model type, and identifier of the AI ​​model. This is not a limitation.

[0071] In some embodiments, the first information may be used to indicate information about an AI function; or the first information may be used to indicate information about an AI model; or the first information may be used to indicate information about an AI function and information about an AI model.

[0072] In some embodiments, the terminal may send first information to the network side to indicate to the network information about artificial intelligence (AI) functions and / or AI models supported by the terminal.

[0073] In some embodiments, a network may include one or more node devices. A node device may be, for example, an access network device or a core network device. Different node devices may be of the same or different types.

[0074] In some embodiments, the network may include a first node device, a second node device, a third node device, a fourth node device, and a fifth node device. The first node device, the third node device, and the fifth node device are different from each other, and the second node device, the fourth node device, and the fifth node device are the same or different. Thus, the network can flexibly configure various node devices to achieve flexible management of information of different dimensions of AI models and / or AI functions supported by the terminal.

[0075] Among them, the first node device is a unified data warehouse function (Unified Data Repository, UDR) network element or a unified data management function (Unified Data Management, UDM) network element, the second node device is a base station or a location management function LMF network element, the third node device is an access and mobility management function AMF network element, the fourth node device is a base station or an LMF network element, and the fifth node device is a base station or an LMF network element. As a result, various node devices on the network side can promptly obtain information about the AI ​​functions and / or AI models supported by the terminal.

[0076] In some embodiments, the terminal may send the first information to the first node device, the second node device, the third node device, or the fourth node device, thereby timely indicating information about AI functions and / or AI models supported by the terminal to various node devices on the network side.

[0077] In some embodiments, an AI function is associated with second information and / or third information. The second information is used to describe the conditions of the AI ​​function, and the third information is used to describe additional conditions associated with the AI ​​function. In other words, the second information is used to describe the conditions associated with the AI ​​function, and the third information is used to describe the additional conditions associated with the AI ​​function.

[0078] The conditions associated with the AI ​​function include, for example, parameter types associated with the AI ​​function, conditions required for function implementation, etc. The additional conditions associated with the AI ​​function include, for example, application scenario information corresponding to the AI ​​function.

[0079] In some embodiments, the AI ​​model has associated fourth information and / or fifth information. The fourth information is used to describe the conditions of the AI ​​model, and the fifth information is used to describe additional conditions associated with the AI ​​model. In other words, the fourth information is used to describe the conditions associated with the AI ​​model, and the fifth information is used to describe the additional conditions associated with the AI ​​model.

[0080] The conditions associated with the AI ​​model include, for example, the input and / or output parameter types, the input and / or output parameter dimensions, etc. Additional conditions associated with the AI ​​model include, for example, application scenario information corresponding to the AI ​​model.

[0081] In this way, the conditions and / or additional conditions of the AI ​​functions supported by the terminal, as well as the conditions and / or additional conditions of the AI ​​model, can be effectively obtained, as well as information supporting subsequent indication of comprehensive AI functions and / or AI model information to the network side.

[0082] In some embodiments, the second information about the AI ​​function is included in the terminal capabilities, and the fourth information about the AI ​​model is included in the terminal capabilities. Thus, the terminal can indicate to the network the conditions associated with the AI ​​functions supported by the terminal and the conditions associated with the AI ​​models supported by the terminal by sending the terminal capabilities, effectively avoiding additional indication overhead.

[0083] In step S2102 , the terminal sends the second information and / or third information of the AI ​​function, and the fourth information and / or fifth information of the AI ​​model.

[0084] In some embodiments, the terminal may send the second information and / or third information of the AI ​​function and the fourth information and / or fifth information of the AI ​​model to the network side.

[0085] In some embodiments, the terminal may send the second information and / or third information of the AI ​​function, and the fourth information and / or fifth information of the AI ​​model to the third node device. Alternatively, the terminal may send the second information and / or third information of the AI ​​function, and the fourth information and / or fifth information of the AI ​​model to the fourth node device. This is not limited to this.

[0086] As a result, each node device on the network side can promptly learn the conditions and / or additional conditions of the AI ​​functions supported by the terminal, and the conditions and / or additional conditions of the AI ​​models supported by the terminal.

[0087] In some embodiments, the terminal may indicate information about AI functions and / or AI models applicable to the terminal to the second node device, the fourth node device, or the fifth node device by sending sixth information to the second node device, the fourth node device, or the fifth node device. This effectively indicates information about AI functions and / or AI models applicable to the terminal to various node devices on the network side.

[0088] The AI ​​functions applicable to the terminal may be a subset of the AI ​​functions supported by the terminal. For example, the AI ​​functions supported by the terminal include A1, B1, and C1, while the AI ​​functions applicable to the terminal include A1 and C1. The AI ​​models applicable to the terminal may be a subset of the AI ​​models supported by the terminal. For example, the AI ​​models supported by the terminal include A2, B2, and C2, while the AI ​​models applicable to the terminal include A2 and C2. This is not limited to this.

[0089] Step S2103: The second node device sends first information to the first node device.

[0090] In some embodiments, the terminal may directly send the first information to the first node device, and the first node device may receive the first information sent by the terminal.

[0091] In this embodiment, the terminal can send the first information to the second node device to trigger the second node device to forward the first information to the first node device. In other words, the second node device can receive the first information sent by the terminal and forward the received first information to the first node device. In the process of forwarding the first information, the first node device can transparently transmit the first information to the first node device. Alternatively, the first node device can repackage the first information and forward the repackaged first information to the first node device. In this way, the first information can be flexibly indicated to the first node device, effectively applicable to personalized communication scenarios.

[0092] In some embodiments, the second node device may forward the first information to the first node device, and the first node device may receive the first information forwarded by the second node device to timely obtain information about the AI ​​functions and / or AI models supported by the terminal.

[0093] In some embodiments, the second node device receives sixth information sent by the terminal. The sixth information is used to indicate information about AI functions and / or AI models applicable to the terminal. This enables timely acquisition of information about AI functions and / or AI models applicable to the terminal.

[0094] Step S2104: The first node device determines the terminal information.

[0095] In some embodiments, after receiving the first information, the first node device may further determine terminal information, where the terminal information is used to identify the terminal. The terminal information may be, for example, a terminal identifier.

[0096] In some embodiments, the first node device may receive terminal information sent by the terminal, or may determine the terminal information according to the first information, which is not limited.

[0097] Step S2105: The first node device manages terminal information, AI function information and / or AI model information.

[0098] In some embodiments, the first node device receives the first information and learns the AI ​​function information and / or AI model information supported by the terminal indicated by the first information. After determining the terminal information, the first node device can manage the terminal information, the AI ​​function information, and / or the AI ​​model information. This enables network-side maintenance of the terminal information, and the information about the AI ​​functions and / or AI models supported by the terminal.

[0099] In some embodiments, the first node device may associate the information of the AI ​​functions and / or the AI ​​model supported by the terminal with the terminal information to form a mapping relationship between the terminal information and the information of the AI ​​functions and / or the AI ​​model supported by the terminal, and maintain and manage the mapping relationship, without limitation.

[0100] Step S2106: The third node device manages the AI ​​function information, the AI ​​model information, the second information and / or the third information, and the fourth information and / or the fifth information.

[0101] In some embodiments, the terminal may send first information, second information and / or third information of the AI ​​function, and fourth information and / or fifth information of the AI ​​model to a third node device, and the third node device may receive the AI ​​function information, the AI ​​model information, the second information and / or third information, and the fourth information and / or fifth information.

[0102] In some embodiments, the AI ​​function information, the AI ​​model information, the second information and / or the third information, and the fourth information and / or the fifth information may be maintained and managed in the third node device.

[0103] In some embodiments, the third node device may associate the information of the AI ​​function supported by the terminal with the second information and / or third information of the AI ​​function to form a mapping relationship between the information of the AI ​​function supported by the terminal and the second information and / or third information of the AI ​​function, and maintain and manage the mapping relationship, without limitation.

[0104] In some embodiments, the third node device may associate the information of the AI ​​model supported by the terminal with the fourth information and / or fifth information of the AI ​​model to form a mapping relationship between the information of the AI ​​model supported by the terminal and the fourth information and / or fifth information of the AI ​​model, and maintain and manage the mapping relationship, without limitation.

[0105] In some embodiments, the third node device can receive the second information and / or third information, and the fourth information and / or fifth information sent by the terminal. In some embodiments, the third node device can receive the second information and / or third information, and the fourth information and / or fifth information sent by the fourth node device. This enables flexible acquisition of the second information and / or third information of the AI ​​function, and the fourth information and / or fifth information of the AI ​​model.

[0106] In some embodiments, the third node device may send a first request message to the fourth node device and receive the second information and / or third information, and / or fourth information and / or fifth information sent by the fourth node device in response to the first request message. This enables on-demand acquisition of the second information and / or third information of the AI ​​function, and the fourth information and / or fifth information of the AI ​​model.

[0107] In some embodiments, the third node device may receive the second information and / or third information, and / or fourth information and / or fifth information pushed by the fourth node device. This effectively ensures the timeliness of the acquisition of the second information and / or third information of the AI ​​function and the fourth information and / or fifth information of the AI ​​model.

[0108] In some embodiments, the third node device can receive the second information and / or third information, and / or the fourth information and / or the fifth information, forwarded by the fourth node device via other node devices. This allows for flexible acquisition of the second information and / or third information of the AI ​​function, and the fourth information and / or fifth information of the AI ​​model, effectively adapting to personalized communication scenarios.

[0109] Step S2107: The fourth node device performs a first operation related to the AI ​​function according to the first information, and / or performs a second operation related to the AI ​​model according to the first information.

[0110] In some embodiments, a terminal may send first information to a fourth node device. The fourth node device may then receive the first information sent by the terminal and, based on the first information, perform a first operation related to the AI ​​function and / or, based on the first information, perform a second operation related to the AI ​​model. This enables operations related to the AI ​​model and / or AI function to be executed on the network, effectively expanding application scenarios.

[0111] In some embodiments, the first operation includes at least one of the following: an AI function selection operation; an AI function activation operation; an AI function deactivation operation; an AI function switching operation; and a fallback to a non-AI operation. This supports flexible execution of various AI function-related operations on the network side.

[0112] Among them, AI function selection refers to the network triggering the terminal to select and apply a certain type of AI function. AI function activation refers to the network triggering the activation of the AI ​​function deployed in the terminal. AI function deactivation refers to the network triggering the deactivation of the AI ​​function deployed in the terminal. AI function switching refers to the network triggering the terminal to switch the type of AI function used. Fallback to non-AI refers to the network triggering the terminal to fall back to non-AI operation, that is, not applying AI technology on the terminal.

[0113] In some embodiments, the second operation includes at least one of the following: an AI model selection operation; an AI model activation operation; an AI model deactivation operation; an AI model switching operation; and a fallback to a non-AI operation. This supports flexible execution of various AI model-related operations on the network side.

[0114] AI model selection refers to the network triggering the terminal to select and apply a certain type of AI model. AI model activation refers to the network triggering the activation of an AI model deployed on a terminal. AI model deactivation refers to the network triggering the deactivation of an AI model deployed on a terminal. AI model switching refers to the network triggering the terminal to switch the type of AI model used. Fallback to non-AI refers to the network triggering the terminal to fall back to non-AI operation, meaning that AI technology is not applied on the terminal.

[0115] In some embodiments, the terminal may send the second information and / or third information of the AI ​​function, and the fourth information and / or fifth information of the AI ​​model to the fourth node device, and the fourth node device may receive the second information and / or third information, and the fourth information and / or fifth information sent by the terminal. The fourth node device can then promptly obtain the second information and / or third information of the AI ​​function, and the fourth information and / or fifth information of the AI ​​model.

[0116] In some embodiments, after receiving the second information and / or third information of the AI ​​function and the fourth information and / or fifth information of the AI ​​model, the fourth node device may trigger the transmission of the second information and / or third information, and the fourth information and / or fifth information to the third node device. This enables timely notification of the second information and / or third information of the AI ​​function and the fourth information and / or fifth information of the AI ​​model to the third node device.

[0117] In some embodiments, the fourth node device may receive a first request message from the third node device and, in response to the first request message, send the second information and / or the third information, as well as the fourth information and / or the fifth information to the third node device. This enables on-demand notification of the second information and / or the third information of the AI ​​function, and the fourth information and / or the fifth information of the AI ​​model.

[0118] In some embodiments, the fourth node device may send the second information and / or the third information, as well as the fourth information and / or the fifth information, to the third node device, thereby effectively improving the timeliness of notification of the second information and / or the third information of the AI ​​function, and the fourth information and / or the fifth information of the AI ​​model.

[0119] In some embodiments, the fourth node device may send the second information and / or the third information, and the fourth information and / or the fifth information to the third node device through other node devices. This allows for flexible notification timeliness of the second information and / or the third information of the AI ​​function, and the fourth information and / or the fifth information of the AI ​​model to the third node device.

[0120] In some embodiments, the fourth node device may receive sixth information sent by the terminal, where the sixth information is used to indicate information about AI functions and / or AI models applicable to the terminal. This allows the fourth node device to promptly obtain information about the AI ​​functions and / or AI models applicable to the terminal.

[0121] The information processing method involved in the embodiments of the present disclosure may include at least one of steps S2101 to S2107. For example, step S2101 can be implemented as an independent embodiment, step S2102 can be implemented as an independent embodiment, and so on, but the present invention is not limited thereto. Steps S2101+S2102 can be implemented as independent embodiments, and steps S2101+S2102+S2103 can be implemented as independent embodiments, but the present invention is not limited thereto.

[0122] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0123] In this embodiment, the terminal sends the first information, the second information and / or the third information of the AI ​​function, and the fourth information and / or the fifth information of the AI ​​model. The second node device receives the first information and sends the first information to the first node device. The first node device determines the terminal information and manages the terminal information, the AI ​​function information and / or the AI ​​model information. The third node device receives the first information and manages the AI ​​function information, the AI ​​model information, the second information and / or the third information, and the fourth information and / or the fifth information. The fourth node device performs a first operation related to the AI ​​function based on the first information, and / or performs a second operation related to the AI ​​model based on the first information. Management of the AI ​​functions and / or AI models supported by the terminal is achieved on the network side.

[0124] FIG3A is an interactive diagram illustrating an information processing method according to another embodiment of the present disclosure. As shown in FIG3A , the present disclosure embodiment relates to an information processing method that can be used in a first node device. The method includes:

[0125] Step S3101: Receive first information, where the first information is used to indicate information about artificial intelligence (AI) functions and / or AI models supported by the terminal.

[0126] Step S3102: Determine terminal information, where the terminal information is used to identify the terminal.

[0127] Step S3103: manage terminal information, AI function information and / or AI model information.

[0128] The information processing method involved in the embodiments of the present disclosure may include at least one of steps S3101 to S3103. For example, step S3101 can be implemented as an independent embodiment, step S3102 can be implemented as an independent embodiment, and so on, but the present disclosure is not limited thereto. Steps S3101+S3102 can be implemented as independent embodiments, but the present disclosure is not limited thereto.

[0129] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0130] FIG3B is an interactive diagram illustrating an information processing method according to another embodiment of the present disclosure. As shown in FIG3B , the present disclosure embodiment relates to an information processing method that can be used in a first node device. The method includes:

[0131] Step S3201: Receive first information sent by a terminal, or receive first information sent by a second node device, wherein the first information is used to indicate information about artificial intelligence (AI) functions and / or information about AI models supported by the terminal.

[0132] Step S3202: Determine terminal information, where the terminal information is used to identify the terminal.

[0133] Step S3203: manage terminal information, AI function information and / or AI model information.

[0134] The information processing method involved in the embodiments of the present disclosure may include at least one of steps S3201 to S3203. For example, step S3201 can be implemented as an independent embodiment, step S3202 can be implemented as an independent embodiment, and so on, but the present disclosure is not limited thereto. Steps S3201+S3202 can be implemented as independent embodiments, but the present disclosure is not limited thereto.

[0135] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0136] FIG4A is an interactive diagram of an information processing method according to another embodiment of the present disclosure. As shown in FIG4A , the present disclosure embodiment relates to an information processing method that can be used in a terminal. The method includes:

[0137] Step S4101: Send first information, where the first information is used to indicate information about artificial intelligence (AI) functions and / or AI models supported by the terminal.

[0138] The information processing method involved in the embodiment of the present disclosure may include step S4101. For example, step S4101 may be implemented as an independent embodiment, but is not limited thereto.

[0139] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0140] FIG4B is an interactive diagram of an information processing method according to another embodiment of the present disclosure. As shown in FIG4B , the present disclosure embodiment relates to an information processing method that can be used in a terminal. The method includes:

[0141] Step S4201: Send first information to the first node device, the second node device, the third node device, or the fourth node device, wherein the first information is used to indicate information about artificial intelligence (AI) functions and / or information about AI models supported by the terminal.

[0142] Step S4202: Send the second information and / or third information of the AI ​​function and the fourth information and / or fifth information of the AI ​​model to the third node device.

[0143] Step S4203: Send sixth information to the second node device, the fourth node device, or the fifth node device, where the sixth information is used to indicate information about the AI ​​function and / or information about the AI ​​model applicable to the terminal.

[0144] The information processing method involved in the embodiments of the present disclosure may include at least one of steps S4201 to S4203. For example, step S4201 can be implemented as an independent embodiment, step S4202 can be implemented as an independent embodiment, and so on, but the present disclosure is not limited thereto. Steps S4201+S4202 can be implemented as independent embodiments, but the present disclosure is not limited thereto.

[0145] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0146] FIG5A is an interactive diagram of an information processing method according to another embodiment of the present disclosure. As shown in FIG5A , the present disclosure embodiment relates to an information processing method that can be used in a second node device. The method includes:

[0147] Step S5101: Receive first information, where the first information is used to indicate information about artificial intelligence (AI) functions and / or AI models supported by the terminal.

[0148] The information processing method involved in the embodiment of the present disclosure may include step S5101. For example, step S5101 may be implemented as an independent embodiment, but is not limited thereto.

[0149] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0150] FIG5B is an interactive diagram of an information processing method according to another embodiment of the present disclosure. As shown in FIG5B , the present disclosure embodiment relates to an information processing method that can be used in a second node device. The method includes:

[0151] Step S5201: Receive first information sent by a terminal, where the first information is used to indicate information about artificial intelligence (AI) functions and / or AI models supported by the terminal.

[0152] Step S5202: Send first information to the first node device.

[0153] Step S5203: Receive sixth information sent by the terminal, where the sixth information is used to indicate information about the AI ​​function and / or information about the AI ​​model applicable to the terminal.

[0154] The information processing method involved in the embodiments of the present disclosure may include at least one of steps S5201 to S5203. For example, step S5201 can be implemented as an independent embodiment, step S5202 can be implemented as an independent embodiment, and so on, but the present disclosure is not limited thereto. Steps S5201+S5202 can be implemented as independent embodiments, but the present disclosure is not limited thereto.

[0155] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0156] FIG6 is an interactive diagram of an information processing method according to another embodiment of the present disclosure. As shown in FIG6, the present disclosure embodiment relates to an information processing method that can be used in a third node device. The above method includes:

[0157] Step S6101: Receive first information, where the first information is used to indicate information about artificial intelligence (AI) functions and / or AI models supported by the terminal.

[0158] Step S6102, obtain the second information and / or third information associated with the AI ​​function, and the fourth information and / or fifth information associated with the AI ​​model, wherein the second information is used to describe the conditions of the AI ​​function, the third information is used to describe the additional conditions of the AI ​​function, the fourth information is used to describe the conditions of the AI ​​model, and the fifth information is used to describe the additional conditions of the AI ​​model.

[0159] Step S6103: manage AI function information, AI model information, second information and / or third information, and fourth information and / or fifth information.

[0160] The information processing method involved in the embodiments of the present disclosure may include at least one of steps S6101 to S6103. For example, step S6101 can be implemented as an independent embodiment, step S6102 can be implemented as an independent embodiment, and so on, but the present disclosure is not limited thereto. Steps S6101+S6102 can be implemented as independent embodiments, but the present disclosure is not limited thereto.

[0161] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0162] FIG7 is an interactive diagram of an information processing method according to another embodiment of the present disclosure. As shown in FIG7 , the present disclosure embodiment relates to an information processing method that can be used for a fourth node device. The method includes:

[0163] Step S7101: Receive first information, where the first information is used to indicate information about artificial intelligence (AI) functions and / or AI models supported by the terminal.

[0164] Step S7102: Execute a first operation related to the AI ​​function according to the first information, and / or execute a second operation related to the AI ​​model according to the first information.

[0165] The information processing method involved in the embodiments of the present disclosure may include at least one of steps S7101 and S7102. For example, step S7101 can be implemented as an independent embodiment, step S7102 can be implemented as an independent embodiment, and so on, but the present invention is not limited thereto. Steps S7101 and S7102 can be implemented as independent embodiments, but the present invention is not limited thereto.

[0166] In this embodiment or example, unless there is any contradiction, each step can be independent, arbitrarily combined or exchanged in order, the optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other embodiments or other examples.

[0167] The embodiments of the present disclosure provide a method for mapping model-related information to a network, and a method for supporting a terminal to send model-related information. The first node device may also be referred to as a first network node, the second node device may also be referred to as a second network node, the third node device may also be referred to as a third network node, the fourth node device may also be referred to as a fourth network node, the fifth node device may also be referred to as a fifth network node, or the node device may also be referred to as a network device, without limitation.

[0168] The following is an exemplary introduction to the above method.

[0169] Optional embodiment:

[0170] 1. The network includes a first network node, which is used to manage first information on the terminal side. The first information is information about the AI ​​function or AI model supported by the terminal side. As shown in Table 1 below:

[0171] Table 1

[0172] 2. Based on step 1, the terminal sends the AI ​​functions or AI models supported by the terminal to the network. This may include:

[0173] The terminal directly sends the AI ​​function or AI model supported by the terminal to the first network node through an interactive protocol or signaling interface with the first network node; or

[0174] The terminal sends the first information to the second network node through the interaction protocol or signaling interface with the second network node, and then the second network node sends the first information sent by the terminal to the first network node through the interaction protocol or signaling interface between the second network node and the first network node.

[0175] 3. Based on 1, the AI ​​function sent by the terminal to the network is also associated with the second information and / or the third information. The AI ​​model is also associated with the fourth information and / or the fourth and fifth information. The second information and / or the third information and / or the fourth information and / or the fourth and fifth information are managed by the third network node. The second information or the fourth information corresponds to the condition in the table below, and the third information or the fifth information corresponds to the additional condition in the table below. The information of the condition will be indicated in the terminal capability (UE capability). Information other than this is an additional condition. For example, the application scenario of the AI ​​function or AI model. As shown in Table 2 below:

[0176] Table 2

[0177] 4. Based on 1, the network further includes a fourth network node, which is used to manage the selection, activation, deactivation, switching, and fallback to non-AI operation of AI functions or AI models in the terminal.

[0178] 5. Based on 3 and 4, the third network node obtains the second information and / or third information regarding the AI ​​function, or the fourth information and / or the fourth and fifth information regarding the AI ​​model, from the fourth network node. This may include: the third network node proactively requesting information from the fourth network node; or the fourth network node proactively pushing the corresponding information to the third network node; or the third network node and the fourth network node communicating directly with each other or indirectly through other network nodes to transmit the corresponding information.

[0179] 6. Based on 1, the terminal sends sixth information to the fifth network node on the network side, where the second information is used to send the applicable AI function or AI model on the terminal side. The applicable AI function or AI model sent is a subset of the first information sent. The applicable AI function or AI model on the terminal side is shown in Table 3 below:

[0180] Table 3

[0181] 7. The first network node, the third network node, and the fifth network node may be different.

[0182] 8. The second network node, the fourth network node and the fifth network node may be the same.

[0183] Specific embodiment:

[0184] The first network node may be a UDR or a UDM, the second network node may be a gNB or a LMF, the third network node may be an AMF, the fourth network node may be a gNB, a LMF, etc., and the fifth network node may be a gNB, a LMF.

[0185] Specifically, in AI-based beam management, the second network node, the fourth network node, and the fifth network node are gNBs; in AI-based positioning, the second network node, the fourth network node, and the fifth network node are LMFs.

[0186] The embodiments of the present disclosure further provide an apparatus for implementing any of the above methods. For example, an apparatus is provided that includes units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided that includes units or modules for implementing each step performed by a node device in any of the above methods.

[0187] FIG8A is a schematic diagram of the structure of a node device proposed in an embodiment of the present disclosure. As shown in FIG8A , the node device 8100 may include at least one of a transceiver module 8101 and a processing module 8102. The node device 8100 may include:

[0188] Transceiver module 8101 is configured to receive first information, where the first information is used to indicate information about an artificial intelligence (AI) function and / or information about an AI model supported by the terminal; or to obtain second information and / or third information associated with the AI ​​function, and fourth information and / or fifth information associated with the AI ​​model, where the second information is used to describe a condition of the AI ​​function, the third information is used to describe an additional condition of the AI ​​function, the fourth information is used to describe a condition of the AI ​​model, and the fifth information is used to describe an additional condition of the AI ​​model;

[0189] Processing module 8102 is used to determine terminal information and manage terminal information, AI function information and / or AI model information, wherein the terminal information is used to identify the terminal; or to manage AI function information, AI model information, second information and / or third information, and fourth information and / or fifth information; or to perform a first operation related to the AI ​​function based on the first information, and / or perform a second operation related to the AI ​​model based on the first information.

[0190] In some embodiments of the present disclosure, the transceiver module 8101 is specifically configured to:

[0191] The first information sent by the receiving terminal is received.

[0192] In some embodiments of the present disclosure, the transceiver module 8101 is specifically configured to:

[0193] Receive first information sent by the second node device.

[0194] In some embodiments of the present disclosure,

[0195] The AI ​​function has associated second information and / or third information, the second information is used to describe the conditions of the AI ​​function, and the third information is used to describe additional conditions of the AI ​​function;

[0196] The AI ​​model has associated fourth information and / or fifth information, the fourth information is used to describe the conditions of the AI ​​model, and the fifth information is used to describe additional conditions of the AI ​​model.

[0197] In some embodiments of the present disclosure, the second information of the AI ​​function is included in the terminal capabilities, and the fourth information of the AI ​​model is included in the terminal capabilities.

[0198] In some embodiments of the present disclosure, the first node device is a unified data warehouse function UDR network element or a unified data management function UDM network element.

[0199] In some embodiments of the present disclosure, the transceiver module 8101 is specifically configured to:

[0200] Sending first information to the first node device.

[0201] In some embodiments of the present disclosure, the transceiver module 8101 is specifically configured to:

[0202] The sixth information sent by the receiving terminal is used to indicate information about the AI ​​function and / or information about the AI ​​model applicable to the terminal.

[0203] In some embodiments of the present disclosure, the second node device is a base station or a location management function LMF network element.

[0204] In some embodiments of the present disclosure, the transceiver module 8101 is specifically configured to:

[0205] The second information and / or the third information, and the fourth information and / or the fifth information sent by the receiving terminal.

[0206] In some embodiments of the present disclosure, the transceiver module 8101 is specifically configured to:

[0207] Receive the second information and / or the third information, and the fourth information and / or the fifth information sent by the fourth node device.

[0208] In some embodiments of the present disclosure, the transceiver module 8101 is specifically configured to perform at least one of the following:

[0209] Sending a first request message to a fourth node device, and receiving second information and / or third information, and / or fourth information and / or fifth information sent by the fourth node device in response to the first request message;

[0210] receiving the second information and / or the third information and / or the fourth information and / or the fifth information sent by the fourth node device;

[0211] Receive the second information and / or the third information and / or the fourth information and / or the fifth information forwarded by the fourth node device through other node devices.

[0212] In some embodiments of the present disclosure, the third node device is an access and mobility management function AMF network element, and the fourth node device is a base station or a location management function LMF network element.

[0213] In some embodiments of the present disclosure, the first operation includes at least one of the following:

[0214] AI function selection operation;

[0215] AI function activation operation;

[0216] Deactivation of AI function;

[0217] AI function switching operation;

[0218] Fallback to non-AI operation.

[0219] In some embodiments of the present disclosure, the second operation includes at least one of the following:

[0220] AI model selection operation;

[0221] AI model activation operation;

[0222] AI model deactivation operation;

[0223] AI model switching operation;

[0224] Fallback to non-AI operation.

[0225] In some embodiments of the present disclosure, the transceiver module 8101 is specifically configured to:

[0226] The second information and / or the third information, and the fourth information and / or the fifth information sent by the receiving terminal.

[0227] In some embodiments of the present disclosure, the transceiver module 8101 is specifically configured to:

[0228] The second information and / or the third information, and the fourth information and / or the fifth information are sent to the third node device.

[0229] In some embodiments of the present disclosure, the transceiver module 8101 is specifically configured to:

[0230] receiving a first request message sent by the third node device, and sending the second information and / or the third information, and the fourth information and / or the fifth information to the third node device in response to the first request message;

[0231] Sending the second information and / or the third information, and the fourth information and / or the fifth information to the third node device;

[0232] The second information and / or the third information, and the fourth information and / or the fifth information are sent to the third node device through other node devices.

[0233] In some embodiments of the present disclosure, the transceiver module 8101 is specifically configured to:

[0234] The sixth information sent by the receiving terminal is used to indicate information about the AI ​​function and / or information about the AI ​​model applicable to the terminal.

[0235] In some embodiments of the present disclosure, the third node device is an access and mobility management function AMF network element, and the fourth node device is a base station or a location management function LMF network element.

[0236] FIG8B is a schematic diagram of the structure of a terminal proposed in an embodiment of the present disclosure. As shown in FIG8B , the terminal 8200 may include at least one of a transceiver module 8201 and a processing module 8202. The terminal 8200 may include:

[0237] The transceiver module 8201 is used to send first information, where the first information is used to indicate information about artificial intelligence (AI) functions and / or AI models supported by the terminal.

[0238] In some embodiments of the present disclosure, the transceiver module 8201 is specifically configured to:

[0239] The first information is sent to the first node device, the second node device, the third node device, or the fourth node device.

[0240] In some embodiments of the present disclosure,

[0241] The AI ​​function has associated second information and / or third information, the second information is used to describe the conditions of the AI ​​function, and the third information is used to describe additional conditions of the AI ​​function;

[0242] The AI ​​model has associated fourth information and / or fifth information, the fourth information is used to describe the conditions of the AI ​​model, and the fifth information is used to describe additional conditions of the AI ​​model.

[0243] In some embodiments of the present disclosure, the second information of the AI ​​function is included in the terminal capabilities, and the fourth information of the AI ​​model is included in the terminal capabilities.

[0244] In some embodiments of the present disclosure, the transceiver module 8201 is specifically configured to:

[0245] The second information and / or third information of the AI ​​function and the fourth information and / or fifth information of the AI ​​model are sent to the third node device.

[0246] In some embodiments of the present disclosure, the transceiver module 8201 is specifically configured to:

[0247] Send sixth information to the second node device, the fourth node device, or the fifth node device, where the sixth information is used to indicate information about the AI ​​function and / or information about the AI ​​model applicable to the terminal.

[0248] In some embodiments of the present disclosure, the first node device, the third node device, and the fifth node device are different from each other, and the second node device, the fourth node device, and the fifth node device are the same or different.

[0249] In some embodiments of the present disclosure, the first node device is a unified data warehouse function UDR network element or a unified data management function UDM network element, the second node device is a base station or a location management function LMF network element, the third node device is an access and mobility management function AMF network element, the fourth node device is a base station or an LMF network element, and the fifth node device is a base station or an LMF network element.

[0250] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, and the transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

[0251] In some embodiments, the processing module can be a single module or can include multiple submodules. Optionally, the multiple submodules respectively execute all or part of the steps required to be executed by the processing module. Optionally, the processing module can be interchangeable with the processor.

[0252] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), which realizes the functions of some or all of the above units or modules by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by the form of software called by the processor, and the rest by hardware circuits.

[0253] In the embodiment of the present disclosure, the processor is a circuit with signal processing capability. In one implementation, the processor can be a circuit with instruction reading and execution capability, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP); in another implementation, the processor can implement certain functions through the logical relationship of the hardware circuit, and the logical relationship of the above hardware circuit is fixed or reconfigurable, such as a hardware circuit implemented by a processor as an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and implementing the hardware circuit configuration can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), etc.

[0254] Figure 9A is a schematic diagram of the structure of a communication device proposed in an embodiment of the present disclosure. Communication device 9100 can be a terminal, a network device, a chip, a chip system, or a processor that supports a terminal implementing any of the above methods, or a chip, a chip system, or a processor that supports a network device implementing any of the above methods. Communication device 9100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.

[0255] As shown in Figure 9A, the communication device 9100 includes one or more processors 9101. The processor 9101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process program data. The communication device 9100 is used to perform any of the above methods.

[0256] In some embodiments, the communication device 9100 further includes one or more memories 9102 for storing instructions. Optionally, all or part of the memories 9102 may be located outside the communication device 9100.

[0257] In some embodiments, the communication device 9100 further includes one or more transceivers 9103. When the communication device 9100 includes one or more transceivers 9103, the transceiver 9103 performs at least one of the communication steps such as sending and / or receiving in the above method, and the processor 9101 performs the other steps.

[0258] In some embodiments, a transceiver may include a receiver and / or a transmitter. The receiver and transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, and transceiver circuit may be used interchangeably; the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be used interchangeably; and the terms receiver, receiving unit, receiver, and receiving circuit may be used interchangeably.

[0259] In some embodiments, the communication device 9100 may include one or more interface circuits 9104. Optionally, the interface circuit 9104 is connected to the memory 9102. The interface circuit 9104 may be configured to receive signals from the memory 9102 or other devices, and may be configured to send signals to the memory 9102 or other devices. For example, the interface circuit 9104 may read instructions stored in the memory 9102 and send the instructions to the processor 9101.

[0260] The communication device 9100 described in the above embodiments may be a terminal, a network device, or a third entity, but the scope of the communication device 9100 described in the present disclosure is not limited thereto, and the structure of the communication device 9100 may not be limited by FIG. 9A . The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0261] FIG9B is a schematic diagram of the structure of a chip proposed in an embodiment of the present disclosure. If the communication device 9100 can be a chip or a chip system, please refer to the schematic diagram of the structure of the chip 9200 shown in FIG9B , but the present disclosure is not limited thereto.

[0262] The chip 9200 includes one or more processors 9201 , and the chip 9200 is configured to execute any of the above methods.

[0263] In some embodiments, the chip 9200 further includes one or more interface circuits 9202. Optionally, the interface circuit 9202 is connected to the memory 9203. The interface circuit 9202 can be used to receive signals from the memory 9203 or other devices, and can be used to send signals to the memory 9203 or other devices. For example, the interface circuit 9202 can read instructions stored in the memory 9203 and send the instructions to the processor 9201.

[0264] In some embodiments, the interface circuit 9202 performs at least one of the communication steps such as sending and / or receiving in the above method, and the processor 9201 performs the other steps.

[0265] In some embodiments, terms such as interface circuit, interface, transceiver pin, and transceiver may be used interchangeably.

[0266] In some embodiments, the chip 9200 further includes one or more memories 9203 for storing instructions. Alternatively, all or part of the memories 9203 may be located outside the chip 9200.

[0267] The present disclosure also proposes a storage medium having instructions stored thereon, which, when executed on the communication device 9100, causes the communication device 9100 to execute any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto and may also be a temporary storage medium.

[0268] The present disclosure also provides a program product, which, when executed by the communication device 9100, enables the communication device 9100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0269] The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to perform any one of the above methods.

[0270] In the above embodiments, all or part of the embodiments can be implemented by software, hardware, firmware or any combination thereof. When implemented using software, all or part of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer programs. When the computer program is loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present disclosure are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer program can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer program can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a high-density digital video disc (DVD)), or a semiconductor medium (eg, a solid state disk (SSD)).

[0271] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this disclosure.

[0272] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0273] The above description is merely a specific embodiment of the present disclosure, but the scope of protection of the present disclosure is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this disclosure should be included in the scope of protection of the present disclosure. Therefore, the scope of protection of the present disclosure should be based on the scope of protection of the claims.

Claims

1. An information processing method, characterized in that, Executed by a first node device, the method includes: Receiving first information, where the first information is used to indicate information on artificial intelligence (AI) functions supported by the terminal and / or information on AI models; Determining terminal information, where the terminal information is used to identify the terminal; and Managing the terminal information, and the information on the AI functions and / or the information on the AI models.

2. The method according to claim 1, wherein The receiving of the first information includes: Receiving the first information sent by the terminal.

3. The method according to claim 1, wherein The receiving of the first information includes: Receiving the first information sent by a second node device.

4. The method according to any one of claims 1 to 3, characterized in that Where The AI function has associated second information and / or third information, the second information is used to describe the conditions of the AI function, and the third information is used to describe the additional conditions of the AI function; The AI model has associated fourth information and / or fifth information, the fourth information is used to describe the conditions of the AI model, and the fifth information is used to describe the additional conditions of the AI model.

5. The method according to claim 4, characterized in that, Where The second information of the AI function is included in the terminal capabilities, and the fourth information of the AI model is included in the terminal capabilities.

6. The method according to any one of claims 1-5, characterized in that, The first node device is a Unified Data Repository (UDR) network element or a Unified Data Management (UDM) network element.

7. An information processing method, characterized in that, Executed by a terminal, the method includes: Sending first information, where the first information is used to indicate information on artificial intelligence (AI) functions supported by the terminal and / or information on AI models.

8. The method according to claim 7, wherein The sending of the first information includes: Sending the first information to a first node device, a second node device, a third node device, or a fourth node device.

9. The method according to any one of claims 7-8, characterized in that, Where The AI function has associated second information and / or third information, the second information is used to describe the conditions of the AI function, and the third information is used to describe the additional conditions of the AI function; The AI model has associated fourth information and / or fifth information, the fourth information is used to describe the conditions of the AI model, and the fifth information is used to describe the additional conditions of the AI model.

10. The method according to claim 9, characterized in that, Where The second information of the AI function is included in the terminal capabilities, and the fourth information of the AI model is included in the terminal capabilities.

11. The method according to any one of claims 9-10, characterized in that, The method further includes: Sending the second information and / or third information of the AI function, and the fourth information and / or fifth information of the AI model to a third node device.

12. The method according to any one of claims 7 to 11, characterized in that, The method further includes: Sending sixth information to a second node device, a fourth node device, or a fifth node device, where the sixth information is used to indicate information on AI functions applicable to the terminal and / or information on AI models.

13. The method according to any one of claims 8-12, characterized in that, Where The first node device, the third node device, and the fifth node device are different from each other, and the second node device, the fourth node device, and the fifth node device may be the same or different.

14. The method according to any one of claims 8-13, characterized in that, Where The first node device is a Unified Data Repository (UDR) network element or a Unified Data Management (UDM) network element, the second node device is a base station or a Location Management Function (LMF) network element, the third node device is an Access and Mobility Management Function (AMF) network element, the fourth node device is a base station or an LMF network element, and the fifth node device is a base station or an LMF network element.

15. An information processing method, characterized in that, Performed by the second node device, the method includes: Receiving first information, where the first information is used to indicate information on the artificial intelligence (AI) functions supported by the terminal and / or information on the AI models.

16. The method according to claim 15, wherein The receiving of the first information includes: Receiving the first information sent by the terminal.

17. The method according to any one of claims 15-16, characterized in that, The method further includes: Sending the first information to the first node device.

18. The method according to any one of claims 15 - 17, characterized in that, Wherein, The AI function has associated second information and / or third information, the second information is used to describe the conditions of the AI function, and the third information is used to describe the additional conditions of the AI function; The AI model has associated fourth information and / or fifth information, the fourth information is used to describe the conditions of the AI model, and the fifth information is used to describe the additional conditions of the AI model.

19. The method according to claim 18, wherein Wherein, The second information of the AI function is included in the terminal capabilities, and the fourth information of the AI model is included in the terminal capabilities.

20. The method according to any one of claims 15-19, characterized in that, The method further includes: Receiving sixth information sent by the terminal, where the sixth information is used to indicate information on the AI functions applicable to the terminal and / or information on the AI models.

21. The method according to any one of claims 15-20, characterized in that, Wherein, The second node device is a base station or an LMF network element.

22. An information processing method, characterized in that, Performed by the third node device, the method includes: Receiving first information, where the first information is used to indicate information on the artificial intelligence (AI) functions supported by the terminal and / or information on the AI models; Obtaining the second information and / or third information associated with the AI function, and the fourth information and / or fifth information associated with the AI model, where the second information is used to describe the conditions of the AI function, the third information is used to describe the additional conditions of the AI function, the fourth information is used to describe the conditions of the AI model, and the fifth information is used to describe the additional conditions of the AI model; Managing the information on the AI function, the information on the AI model, the second information and / or third information, and the fourth information and / or fifth information.

23. The method according to claim 22, wherein The receiving of the first information includes: Receiving the first information sent by the terminal.

24. The method according to any one of claims 22-23, characterized in that, The obtaining of the second information and / or third information associated with the AI function, and the fourth information and / or fifth information associated with the AI model includes: Receiving the second information and / or third information, and the fourth information and / or fifth information sent by the terminal.

25. The method according to any one of claims 22-23, characterized in that, The obtaining of the second information and / or third information associated with the AI function, and the fourth information and / or fifth information associated with the AI model includes: Receiving the second information and / or third information, and the fourth information and / or fifth information sent by the fourth node device.

26. The method according to claim 25, wherein Receiving the second information and / or the third information, and the fourth information and / or the fifth information sent by the fourth node device includes at least one of the following: Sending a first request message to the fourth node device, and receiving the second information and / or the third information, and / or the fourth information and / or the fifth information sent by the fourth node device in response to the first request message; Receiving the second information and / or the third information, and / or the fourth information and / or the fifth information sent by the fourth node device; Receiving the second information and / or the third information, and / or the fourth information and / or the fifth information forwarded by the fourth node device through other node devices; Or the fifth information.

27. The method according to any one of claims 24-26, characterized in that, Wherein, The third node device is an access and mobility management function (AMF) network element, and the fourth node device is a base station or a location management function (LMF) network element.

28. An information processing method, characterized in that, Executed by the fourth node device, the method includes: Receiving first information, wherein the first information is information indicating an artificial intelligence (AI) function supported by the terminal and / or information of an AI model; Performing a first operation related to the AI function according to the first information, and / or performing a second operation related to the AI model according to the first information.

29. The method according to claim 28, wherein The first operation includes at least one of the following: An AI function selection operation; An AI function activation operation; An AI function deactivation operation; An AI function switching operation; Falling back to a non-AI operation.

30. The method according to any one of claims 28-29, characterized in that, The second operation includes at least one of the following: An AI model selection operation; An AI model activation operation; An AI model deactivation operation; An AI model switching operation; Falling back to a non-AI operation.

31. The method according to any one of claims 28 - 30, characterized in that, The receiving the first information includes: Receiving the first information sent by the terminal.

32. The method according to any one of claims 28-31, characterized in that, Wherein, The AI function has associated second information and / or third information, the second information is used to describe the conditions of the AI function, and the third information is used to describe the additional conditions of the AI function; The AI model has associated fourth information and / or fifth information, the fourth information is used to describe the conditions of the AI model, and the fifth information is used to describe the additional conditions of the AI model.

33. The method according to claim 32, characterized in that, Wherein, The second information of the AI function is included in the terminal capabilities, and the fourth information of the AI model is included in the terminal capabilities.

34. The method according to any one of claims 32-33, characterized in that, The method further includes: Receiving the second information and / or the third information, and the fourth information and / or the fifth information sent by the terminal.

35. The method according to any one of claims 32 - 34, characterized in that, The method further includes: Sending the second information and / or the third information, and the fourth information and / or the fifth information to the third node device.

36. The method according to claim 35, wherein The sending the second information and / or the third information, and the fourth information and / or the fifth information to the third node device includes: Receiving a first request message sent by the third node device, and sending the second information and / or the third information, and the fourth information and / or the fifth information to the third node device in response to the first request message; Sending the second information and / or the third information, and the fourth information and / or the fifth information to the third node device; Send the second information and / or the third information, and the fourth information and / or the fifth information to the third node device through other node devices.

37. The method according to any one of claims 28-36, characterized in that, The method further includes: Receiving sixth information sent by the terminal, where the sixth information is information indicating an AI function applicable to the terminal and / or information of an AI model.

38. The method according to any one of claims 35-37, characterized in that, Wherein, The third node device is an access and mobility management function (AMF) network element, and the fourth node device is a base station or a location management function (LMF) network element.

39. An information processing method, characterized in that, The method includes: The terminal sends first information, where the first information is information indicating an artificial intelligence (AI) function supported by the terminal and / or information of an AI model; The first node device receives the first information, determines terminal information, and manages the terminal information, and the information of the AI function and / or the information of the AI model, where the terminal information is used to identify the terminal; The second node device, the third node device, and the fourth node device receive the first information; The third node device obtains second information and / or third information associated with the AI function, and fourth information and / or fifth information associated with the AI model, and manages the information of the AI function, the information of the AI model, the second information and / or the third information, and the fourth information and / or the fifth information, where the second information is used to describe the conditions of the AI function, the third information is used to describe the additional conditions of the AI function, the fourth information is used to describe the conditions of the AI model, and the fifth information is used to describe the additional conditions of the AI model; The fourth node device performs a first operation related to the AI function according to the first information, and / or performs a second operation related to the AI model according to the first information.

40. A node device, characterized in that, The node device includes: A transceiver module, configured to receive first information, where the first information is information indicating an artificial intelligence (AI) function supported by a terminal and / or information of an AI model; or configured to obtain second information and / or third information associated with the AI function, and fourth information and / or fifth information associated with the AI model, where the second information is used to describe the conditions of the AI function, the third information is used to describe the additional conditions of the AI function, the fourth information is used to describe the conditions of the AI model, and the fifth information is used to describe the additional conditions of the AI model; A processing module, configured to determine terminal information, and manage the terminal information, and the information of the AI function and / or the information of the AI model, where the terminal information is used to identify the terminal; or configured to manage the information of the AI function, the information of the AI model, the second information and / or the third information, and the fourth information and / or the fifth information; or configured to perform a first operation related to the AI function according to the first information, and / or perform a second operation related to the AI model according to the first information.

41. A terminal, characterized in that, The terminal includes: A transceiver module for sending a first message, where the first message is used to indicate information about artificial intelligence (AI) functions supported by the terminal and / or information about an AI model.

42. A communication device, characterized in that, Comprising: One or more processors; Wherein, the processor is configured to execute the information processing method according to any one of claims 1-39.

43. A storage medium, the storage medium stores instructions, characterized in that, When the instruction runs on a communication device, the communication device is caused to execute the information processing method according to any one of claims 1-39.

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