Information processing method and device, terminal side equipment and network side equipment

Abstract

The invention provides an information processing method and device, terminal side equipment and network side equipment, and the method comprises the steps that the terminal side equipment sends a first message to the network side equipment, and the first message carries at least one of the following information: first indication information used for indicating a first object; first information associated with the first object; and a cell identity associated with the first object. Wherein the first object comprises a first artificial intelligence AI model and / or a first AI function, and the first information is related to input and / or output. According to the application, the problem that how to judge whether the AI model or the AI function is available or not by the network side equipment does not have a specific solution can be solved.

Description

Technical Field

[0001] This application relates to the field of communication technologies, and in particular, to an information processing method, apparatus, terminal-side device, and network-side device. Background Art

[0002] In a New Radio (NR) system, in order to combat the path loss in high-frequency scenarios, the transmitter and receiver obtain a matching beam pair through Beam Management (BM) to improve the beamforming gain. In the current beam management process, the base station needs to transmit reference signals on all transmit beams (Tx beams), resulting in a large consumption of reference signal resources. At the same time, the terminal (UE) side needs to measure the reference signals transmitted on each Tx beam for all receive beams (Rx beams) respectively, resulting in a large measurement overhead.

[0003] In order to reduce the consumption of reference signal resources, measurement overhead, and latency, it is considered to adopt Artificial Intelligence (AI) or Machine Learning (ML) technologies to predict the optimal beam (or beam pair) based on the measurement results of partial beams (or beam pairs) or historical beam (or beam pair) measurement results. Since information such as the angle and shape of the transmit beam belongs to the proprietary information of the network side and cannot be informed to the UE, for the AI model deployed on the UE side, when using AI or ML technologies to implement beam management, there may be a situation where the input and / or output in the model training stage is inconsistent with the input and / or output in the inference stage, which will cause the AI model to be unavailable, and thus the beam management performance cannot be guaranteed. However, there is currently no specific solution on how the network-side device determines whether the AI model or AI function is available. Summary of the Invention

[0004] This application provides an information processing method, apparatus, terminal-side device, and network-side device, which solves the problem that there is currently no specific solution on how the network-side device determines whether the AI model or AI function is available.

[0005] An embodiment of this application provides an information processing method, including:

[0006] The terminal-side device sends a first message to the network-side device; wherein, the first message carries at least one of the following information:

[0007] First indication information, used to indicate a first object; the first object includes a first AI model and / or a first AI function;

[0008] First information associated with the first object, the first information being related to the input and / or output;

[0009] Cell identifier associated with the first object.

[0010] Optionally, the terminal-side device sends a first message to the network-side device, including:

[0011] The terminal-side device receives a second message sent by the network-side device; wherein, the second message carries a cell identifier;

[0012] The terminal-side device sends the first message to the network-side device according to the cell identifier; wherein, the first AI model is an AI model associated with the cell identifier, and / or, the first AI function is an AI function associated with the cell identifier.

[0013] Optionally, the terminal-side device sends the first message to the network-side device according to the cell identifier, including:

[0014] The terminal-side device determines a first object associated with the cell identifier from at least one existing AI model and / or AI function;

[0015] The terminal-side device sends the first message to the network-side device.

[0016] Optionally, the terminal-side device sends a first message to the network-side device, including:

[0017] The terminal-side device receives a third message sent by the network-side device; wherein, the third message carries a cell identifier and first information;

[0018] The terminal-side device sends the first message to the network-side device according to the cell identifier and the first information; wherein, the first AI model is an AI model associated with the cell identifier and the first information, and / or, the first AI function is an AI function associated with the cell identifier and the first information.

[0019] Optionally, the terminal-side device sends the first message to the network-side device according to the cell identifier and the first information, including:

[0020] The terminal-side device determines a first object associated with the cell identifier and the first information from at least one existing AI model and / or AI function;

[0021] The terminal-side device sends the first message to the network-side device.

[0022] Optionally, before the terminal-side device sends a first message to the network-side device, it further includes:

[0023] The terminal-side device receives the reference signal sent by the network-side device;

[0024] The terminal-side device measures according to the reference signal to obtain a measurement result;

[0025] The terminal-side device performs model training according to the measurement result to determine a first AI model;

[0026] The terminal-side device establishes a correspondence between the first AI model and the cell identifier and / or the first information, and / or establishes a correspondence between the first AI function corresponding to the first AI model and the cell identifier and / or the first information.

[0027] Optionally, before the terminal-side device establishes a correspondence between the first AI model and the cell identifier and / or the first information, and / or establishes a correspondence between the first AI function corresponding to the first AI model and the cell identifier and / or the first information, it further includes:

[0028] The terminal-side device receives a fourth message sent by the network-side device; wherein, the fourth message carries the cell identifier and / or the first information.

[0029] Optionally, the first information includes at least one of the following:

[0030] Beam codebook identifier;

[0031] Time-related information of the reference signal.

[0032] Optionally, the time-related information of the reference signal includes:

[0033] Time identifier of the reference signal;

[0034] Time offset value of the reference signal.

[0035] Optionally, the first object includes at least one of the following:

[0036] The first AI model existing in or supported by the terminal-side device;

[0037] The first AI function existing in or supported by the terminal-side device;

[0038] The first AI model available to the network-side device;

[0039] The first AI function available to the network-side device.

[0040] Optionally, the information processing method further includes:

[0041] The terminal-side device performs model recognition on the first AI model;

[0042] and / or

[0043] The terminal-side device performs function recognition of the first AI function.

[0044] An embodiment of the present application provides an information processing method, including:

[0045] The network-side device receives a first message sent by the terminal-side device;

[0046] The network-side device performs relevant processing on the first object according to the first message;

[0047] Wherein, the first message carries at least one of the following information:

[0048] First indication information for indicating the first object; the first object includes a first AI model and / or a first AI function;

[0049] First information associated with the first object, the first information being related to input and / or output;

[0050] Cell identifier associated with the first object.

[0051] Optionally, before the network-side device receives the first message sent by the terminal-side device, it further includes:

[0052] The network-side device sends a second message to the terminal-side device; wherein, the second message carries a cell identifier; the first AI model is an AI model associated with the cell identifier, and / or, the first AI function is an AI function associated with the cell identifier.

[0053] Optionally, before the network-side device receives the first message sent by the terminal-side device, it further includes:

[0054] The network-side device sends a third message to the terminal-side device; wherein, the third message carries a cell identifier and first information; the first AI model is an AI model associated with the cell identifier and the first information, and / or, the first AI function is an AI function associated with the cell identifier and the first information.

[0055] Optionally, before the network-side device receives the first message sent by the terminal-side device, it further includes:

[0056] The network-side device sends a reference signal and / or a fourth message to the terminal-side device; wherein, the reference signal is used to train the first AI model and / or the AI model corresponding to the first AI function; the fourth message carries a cell identifier and / or first information.

[0057] Optionally, the first information includes at least one of the following:

[0058] Beam codebook identifier;

[0059] Time-related information of the reference signal.

[0060] Optionally, the time-related information of the reference signal includes:

[0061] Time identifier of the reference signal;

[0062] Time offset value of the reference signal.

[0063] Optionally, the first object includes at least one of the following:

[0064] The first AI model existing in or supported by the terminal-side device;

[0065] The first AI function existing in or supported by the terminal-side device;

[0066] The first AI model available to the network-side device;

[0067] The first AI function available to the network-side device.

[0068] Optionally, the network-side device performs processing related to the first object according to the first message, including:

[0069] When the first message carries the first information, the network-side device determines the first object associated with the first information and performs processing related to the first object;

[0070] Or,

[0071] When the first message carries the cell identifier and the first information, the network-side device determines the first object associated with the cell identifier and the first information and performs processing related to the first object.

[0072] Optionally, the performing processing related to the first object includes at least one of the following:

[0073] Activating or deactivating the first object;

[0074] Activating or deactivating the configuration information related to the first object;

[0075] Sending the configuration information related to the first object.

[0076] An information processing device provided by an embodiment of this application includes a memory, a transceiver, and a processor;

[0077] Among them, the memory is used to store a computer program; the transceiver is used to transmit and receive data under the control of the processor; the processor is used to read the computer program in the memory and perform the following operations:

[0078] Send a first message to the network-side device; wherein, the first message carries at least one of the following information:

[0079] First indication information for indicating a first object; the first object includes a first AI model and / or a first AI function;

[0080] First information associated with the first object, the first information being related to the input and / or output;

[0081] Cell identifier associated with the first object.

[0082] Optionally, the processor is configured to read a computer program in the memory and perform the following operations:

[0083] Receive a second message sent by the network-side device; wherein, the second message carries a cell identifier;

[0084] According to the cell identifier, send the first message to the network-side device; wherein, the first AI model is an AI model associated with the cell identifier, and / or, the first AI function is an AI function associated with the cell identifier.

[0085] Optionally, the processor is configured to read a computer program in the memory and perform the following operations:

[0086] Determine a first object associated with the cell identifier from at least one existing AI model and / or AI function;

[0087] Send the first message to the network-side device.

[0088] Optionally, the processor is configured to read a computer program in the memory and perform the following operations:

[0089] Receive a third message sent by the network-side device; wherein, the third message carries a cell identifier and first information;

[0090] According to the cell identifier and the first information, send the first message to the network-side device; wherein, the first AI model is an AI model associated with the cell identifier and the first information, and / or, the first AI function is an AI function associated with the cell identifier and the first information.

[0091] Optionally, the processor is configured to read a computer program in the memory and perform the following operations:

[0092] Determine a first object associated with the cell identifier and the first information from at least one existing AI model and / or AI function;

[0093] Send the first message to the network side device.

[0094] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0095] Receive a reference signal sent by the network side device;

[0096] Perform measurements based on the reference signal to obtain a measurement result;

[0097] Perform model training based on the measurement result to determine a first AI model;

[0098] Establish a correspondence between the first AI model and the cell identifier and / or the first information, and / or establish a correspondence between the first AI function corresponding to the first AI model and the cell identifier and / or the first information.

[0099] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0100] Receive a fourth message sent by the network side device; wherein, the fourth message carries the cell identifier and / or the first information.

[0101] Optionally, the first information includes at least one of the following:

[0102] Beam codebook identifier;

[0103] Time-related information of the reference signal.

[0104] Optionally, the time-related information of the reference signal includes:

[0105] Time identifier of the reference signal;

[0106] Time offset value of the reference signal.

[0107] Optionally, the first object includes at least one of the following:

[0108] The first AI model existing in or supported by the terminal side device;

[0109] The first AI function existing in or supported by the terminal side device;

[0110] The first AI model available to the network side device;

[0111] The first AI function available to the network side device.

[0112] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0113] Perform model recognition of the first AI model;

[0114] And / or,

[0115] Perform function recognition of the first AI function.

[0116] An embodiment of the present application provides a terminal-side device, including:

[0117] A transceiver unit, configured to send a first message to a network-side device; wherein, the first message carries at least one of the following information:

[0118] First indication information, used to indicate a first object; the first object includes a first AI model and / or a first AI function;

[0119] First information associated with the first object, the first information being related to input and / or output;

[0120] A cell identifier associated with the first object.

[0121] An embodiment of the present application provides an information processing device, including a memory, a transceiver, and a processor;

[0122] Wherein, the memory is used to store a computer program; the transceiver is used to send and receive data under the control of the processor; the processor is used to read the computer program in the memory and perform the following operations:

[0123] Receive the first message sent by the terminal-side device;

[0124] According to the first message, perform relevant processing of the first object;

[0125] Wherein, the first message carries at least one of the following information:

[0126] First indication information, used to indicate a first object; the first object includes a first AI model and / or a first AI function;

[0127] First information associated with the first object, the first information being related to input and / or output;

[0128] A cell identifier associated with the first object.

[0129] Optionally, the processor is used to read the computer program in the memory and perform the following operations:

[0130] Send a second message to the terminal-side device; wherein, the second message carries a cell identifier; the first AI model is an AI model associated with the cell identifier, and / or, the first AI function is an AI function associated with the cell identifier.

[0131] Optionally, the processor is configured to read a computer program in the memory and perform the following operations:

[0132] Send a third message to the terminal-side device; wherein, the third message carries a cell identifier and first information; the first AI model is an AI model associated with the cell identifier and the first information, and / or, the first AI function is an AI function associated with the cell identifier and the first information.

[0133] Optionally, the processor is configured to read a computer program in the memory and perform the following operations:

[0134] Send a reference signal and / or a fourth message to the terminal-side device; wherein, the reference signal is used to train the first AI model, and / or, train the AI model corresponding to the first AI function; the fourth message carries the cell identifier and / or the first information.

[0135] Optionally, the first information includes at least one of the following:

[0136] Beam codebook identifier;

[0137] Time-related information of the reference signal.

[0138] Optionally, the time-related information of the reference signal includes:

[0139] Time identifier of the reference signal;

[0140] Time offset value of the reference signal.

[0141] Optionally, the first object includes at least one of the following:

[0142] The first AI model existing in or supported by the terminal-side device;

[0143] The first AI function existing in or supported by the terminal-side device;

[0144] The first AI model available to the network-side device;

[0145] The first AI function available to the network-side device.

[0146] Optionally, the processor is configured to read a computer program in the memory and perform the following operations:

[0147] When the first message carries the first information, determine a first object associated with the first information, and perform related processing on the first object;

[0148] Or,

[0149] When the first message carries the cell identifier and the first information, determine a first object associated with the cell identifier and the first information, and perform processing related to the first object.

[0150] Optionally, the processor is configured to read a computer program in the memory and perform at least one of the following operations:

[0151] Activate or deactivate the first object;

[0152] Activate or deactivate configuration information related to the first object;

[0153] Send configuration information related to the first object.

[0154] An embodiment of the present application provides a network-side device, including:

[0155] A receiving unit, configured to receive a first message sent by a terminal-side device;

[0156] A processing unit, configured to perform processing related to a first object according to the first message;

[0157] Wherein, the first message carries at least one of the following information:

[0158] First indication information, used to indicate a first object; the first object includes a first AI model and / or a first AI function;

[0159] First information associated with the first object; the first information is related to input and / or output;

[0160] A cell identifier associated with the first object.

[0161] An embodiment of the present application provides a processor-readable storage medium, the processor-readable storage medium stores a computer program, and the computer program is used to cause the processor to execute the steps of the information processing method as described above.

[0162] The beneficial effects of the above technical solutions of the present application are:

[0163] In the embodiments of the present application, a first message is sent from a terminal-side device to a network-side device, and the first message carries at least one of: first indication information for indicating a first object, first information associated with the first object, and a cell identifier associated with the first object, so as to notify the network-side device of the first object (including a first AI model and / or a first AI function) available to the network-side device by the terminal-side device, or assist the network-side device in determining whether the first object is available, thereby ensuring that the network-side device can perform relevant processing on the first object according to the result of whether the first object is available or not, so as to avoid misusing the AI model or AI function, and further ensure the communication performance. Description of the Drawings

[0164] Figure 1 A flowchart showing the information processing method of the terminal-side device in the embodiments of the present application;

[0165] Figure 2 A flowchart showing one of the interaction processes between the terminal-side device and the network-side device in the embodiments of the present application;

[0166] Figure 3 A flowchart showing another interaction process between the terminal-side device and the network-side device in the embodiments of the present application;

[0167] Figure 4 A flowchart showing a third interaction process between the terminal-side device and the network-side device in the embodiments of the present application;

[0168] Figure 5 A flowchart showing the information processing method of the network-side device in the embodiments of the present application;

[0169] Figure 6 A schematic diagram showing the correspondence between the first object, the cell identifier, and the first information in the embodiments of the present application;

[0170] Figure 7 A schematic diagram showing another correspondence between the first object, the cell identifier, and the first information in the embodiments of the present application;

[0171] Figure 8 A schematic diagram showing a third correspondence between the first object, the cell identifier, and the first information in the embodiments of the present application;

[0172] Figure 9 A block diagram showing the information processing device of the terminal-side device in the embodiments of the present application;

[0173] Figure 10 A block diagram showing the terminal-side device in the embodiments of the present application;

[0174] Figure 11 A block diagram showing the information processing device of the network-side device in the embodiments of the present application;

[0175] Figure 12 Block diagram of the network - side device according to an embodiment of the present application. Detailed implementation manners

[0176] To make the technical problems, technical solutions and advantages to be solved by the present application clearer, the following will be described in detail with reference to the accompanying drawings and specific embodiments. In the following description, specific details such as specific configurations and components are provided only to help a comprehensive understanding of the embodiments of the present application. Therefore, those skilled in the art should understand that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. In addition, descriptions of known functions and structures are omitted for clarity and conciseness.

[0177] It should be understood that the term "one embodiment" or "an embodiment" mentioned throughout the specification means that a specific feature, structure or characteristic related to the embodiment is included in at least one embodiment of the present application. Therefore, the appearances of "in one embodiment" or "in an embodiment" throughout the specification do not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner.

[0178] In various embodiments of the present application, it should be understood that the magnitudes of the serial numbers of the following processes do not mean the order of execution is prior or subsequent. The order of execution of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0179] In addition, the terms "system" and "network" are often used interchangeably herein.

[0180] The technical solutions provided by the embodiments of this application can be applicable to multiple systems, such as 5G systems and 6G systems. For example, the applicable systems can be the global system of mobile communication (GSM) system, code division multiple access (CDMA) system, Wideband Code Division Multiple Access (WCDMA) general packet radio service (GPRS) system, long term evolution (LTE) system, LTE frequency division duplex (FDD) system, LTE time division duplex (TDD) system, long term evolution advanced (LTE-A) system, universal mobile telecommunication system (UMTS), worldwide interoperability for microwave access (WiMAX) system, 5G New Radio (NR) system, 6G system, etc. Both the terminal-side device and the network-side device are included in these multiple systems. The system may also include a core network part, such as the Evolved Packet System (EPS), 5G system (5GS), 6G system, etc.

[0181] Between the network-side device and the terminal-side device, one or more antennas can be used respectively for multi-input multi-output (MIMO) transmission. The MIMO transmission can be single user MIMO (SU-MIMO) or multiple user MIMO (MU-MIMO). According to the form and quantity of the root antenna combination, the MIMO transmission can be 2D-MIMO, 3D-MIMO, FD-MIMO or massive-MIMO, or it can also be diversity transmission, precoding transmission, beamforming transmission, etc.

[0182] In the embodiments of the present application, the term "and / or" describes the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally indicates that the associated objects before and after are in an "or" relationship.

[0183] In the embodiments of the present application, the term "plurality" means two or more, and other quantifiers are similar.

[0184] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application.

[0185] The following introduces the related technologies involved in the present application:

[0186] There are the following two sub-use cases for AI-based beam management:

[0187] BM-case1: Spatial domain beam prediction, that is, predicting the Top-K beams (or beam pairs) in Set A based on Set B measured at a certain moment;

[0188] BM-case2: Temporal domain beam prediction, that is, predicting the Top-K beams (or beam pairs) of Set A in the future N' moments based on Set B measured at the historical N moments.

[0189] Among them, Set B represents the input beam set corresponding to the AI model or function, and Set A represents the output beam set corresponding to the AI model or function; the Top-K beams (or beam pairs) represent the optimal beams (or beam pairs). For BM-case1, Set B can be a subset of Set A, or Set B is different from Set A (such as Set B is a wide beam and Set A is a narrow beam); for BM-case2, in addition to the above two situations, Set B can also be the same as Set A.

[0190] The life cycle management (LCM) of an AI or ML model refers to the complete process of an AI or ML model from generation to end, including data collection, model training, model update, recognition, inference, monitoring, activation or deactivation or switching or fallback, etc.

[0191] The LCM is divided into two methods: the LCM based on the identification (ID) of an AI or ML model and the LCM based on the AI or ML function. Among them, the LCM based on the AI or ML model ID means that the AI or ML model on the UE side is indicated and managed through the model ID; the LCM based on the AI or ML function means that the network side manages the AI or ML function on the UE side, such as activating or deactivating the function.

[0192] As data-driven algorithms, AI or ML algorithms have the problem of generalization, that is, an AI or ML model trained in scenario 1 is difficult to be used in scenario 2. For example: in AI-based beam management, if the transmit beam codebook corresponding to the reference signal used for model training is inconsistent with the transmit beam codebook corresponding to the model inference phase, the performance of model inference may be poor. If the AI model is deployed on the network side, the network side can ensure the consistency between the transmit beam codebook corresponding to the reference signal for model training and the transmit beam codebook corresponding to the model inference phase. If the AI model is deployed on the UE side, interaction between the network side and the UE side is required to determine whether the beam codebooks in the training phase and the inference phase are consistent.

[0193] If the input and / or output of model training (i.e., Set B and / or Set A) is inconsistent with the input and / or output during model inference (i.e., Set B and / or Set A), the performance of model inference may be poor. Here, the inconsistency refers to the beam codebook being inconsistent. If the beam codebooks of base station 1 that sends the reference signal for model training and base station 2 that sends the reference signal for model inference are inconsistent, the AI model or function reported by the UE may be difficult to be correctly used after the UE accesses base station 2.

[0194] Considering that the beam codebook information such as the angle and shape of the transmit beam on the network side is proprietary information of the network side and cannot be informed to the UE. If the transmit beam codebook corresponding to the reference signal for model training is inconsistent with the transmit beam codebook corresponding to the model inference phase, the AI model may be unavailable. If the network side device cannot ensure the availability of the AI model or AI function when sending the reference signal for model inference, it may lead to poor beam management performance due to the mismatch between the transmitted reference signal and the AI model or AI function. However, currently, there is no specific solution for how the network side device determines whether the AI model or AI function is available in the scenario where the AI model is deployed on the UE side.

[0195] The embodiments of the present application provide an information processing method, apparatus, terminal device, and network device to enable the network device to determine whether an AI model or AI function is available, thereby ensuring the beam management performance based on AI or ML technology. Among them, the method and apparatus (or terminal device or network device) are based on the same inventive concept. Since the principles of the method and apparatus (or terminal device or network device) for solving problems are similar, the implementation of the method and apparatus (or terminal device or network device) can be referred to each other, and the repeated parts will not be elaborated.

[0196] As Figure 1 shown, the embodiments of the present application provide an information processing method, including the following steps:

[0197] Step 11: The terminal device sends a first message to the network device; wherein, the first message carries at least one of the following information:

[0198] First indication information for indicating a first object;

[0199] First information associated with the first object;

[0200] Cell identifier associated with the first object.

[0201] Optionally, the first object includes a first AI model and / or a first AI function. For example: The first AI model is obtained based on artificial intelligence or machine learning, and this first AI model can also be referred to as a first ML model. The first AI function can correspond to one or more AI models, and the functions of these one or more AI models are the same, that is, these one or more AI models all support implementing the first AI function. Correspondingly, this first AI function can also be referred to as a first ML function, that is, the first ML function can correspond to one or more ML models. Optionally, the UE can support activating or deactivating one or more AI models corresponding to an AI function, that is, the switching of the AI models corresponding to an AI function can be transparent to the network side.

[0202] Optionally, the first object includes at least one of the following:

[0203] The first AI model existing in or supported by the terminal device; for example: when the first object is the first AI model, this first AI model can be an AI model existing in the terminal device or an AI model supported by the terminal device;

[0204] The first AI function existing in or supported by the terminal device; for example: when the first object is the first AI function, this first AI function can be an AI function existing in the terminal device or an AI function supported by the terminal device.

[0205] The first AI model available to the network-side device; for example, when the first object is the first AI model, the first AI model can be an AI model existing in the terminal-side device that supports the network-side device to use.

[0206] The first AI function available to the network-side device; for example, when the first object is the first AI function, the first AI function can be an AI function existing in the terminal-side device that supports the network-side device to use.

[0207] Optionally, the first message can be used to notify the network-side device of the first object (including the first AI model and / or the first AI function) determined by the terminal-side device to be available to the network-side device. That is, in the embodiments of the present application, for the AI model and / or AI function deployed by the terminal-side device, the terminal-side device can decide whether the deployed AI model and / or AI function supports the network-side device to use and notify the network-side device. For example, the terminal-side device indicates through the first indication information carried in the first message that the first object is the first AI model and / or the first AI function available to the network-side device.

[0208] Optionally, the first message can also be used to assist the network-side device in determining whether the first object is available. That is, in the embodiments of the present application, for the AI model and / or AI function deployed by the terminal-side device, the network-side device can decide whether the first object (including the first AI model and / or the first AI function) is available based on the first message sent by the terminal-side device. For example, when the network-side device knows the AI model and / or AI function deployed by the terminal-side device (which can be known in an explicit or implicit manner), the first message can carry the first information associated with the first object and / or the cell identifier associated with the first object to assist the network-side device in determining whether the first object is available. Another example: when the network-side device does not know the AI model and / or AI function deployed by the terminal-side device, in addition to carrying the first information associated with the first object and / or the cell identifier associated with the first object, the first message can also carry the first indication information to indicate the first object existing or available in the terminal-side device to assist the network-side device in determining whether the first object is available.

[0209] It should be noted that the AI model and / or AI function deployed by the terminal-side device includes: the first AI model existing or supported by the terminal-side device, and / or, the first AI function existing or supported by the terminal-side device.

[0210] Optionally, the first information is related to the input and / or output. For example, the first information being related to the input and / or output can refer to at least one of the following:

[0211] The first information is related to the input of the first AI model;

[0212] The first information is related to the input of the AI model corresponding to the first AI function;

[0213] The first information is related to the output of the first AI model;

[0214] The first information is related to the output of the AI model corresponding to the first AI function.

[0215] Optionally, the terminal-side device includes but is not limited to at least one of the following: a terminal device or a user equipment (UE), a UE-side server, etc. The network-side device includes but is not limited to at least one of the following: an access network device, a core network device, etc.

[0216] In the above solution, the terminal-side device sends a first message to the network-side device, by carrying in the first message: at least one of first indication information for indicating a first object, first information associated with the first object, and a cell identifier associated with the first object, so as to notify the network-side device of the first object (including the first AI model and / or the first AI function) available to the network-side device by the terminal-side device, or assist the network-side device in determining whether the first object is available, so as to ensure that the network-side device can perform relevant processing on the first object according to the result of whether the first object is available or not, to avoid the situation of misusing the AI model or AI function, and further ensure the communication performance.

[0217] For example, taking the network-side device as an access network device, when the terminal accesses the access network device, the network-side device can send a first message to the network-side device to notify the network-side device of the first object (including the first AI model and / or the first AI function) available to the network-side device by the terminal-side device, or assist the network-side device in determining whether the first object is available. Optionally, the first AI model and / or the first AI function can be used to implement communication-related functions or optimize communication performance. For example, taking the first AI model and / or the first AI function for implementing beam management as an example, when the network-side device determines the available first AI model and / or first AI function based on the first message, it can send a reference signal corresponding to the first AI model and / or the first AI function to the terminal to implement AI-based beam management and ensure relatively high beam management performance. Of course, it should be noted that the embodiments of the present application are not limited to sending the first message to the network-side device when the terminal accesses. For example, it can also be applied to other scenarios, and the present application can also be applied to other scenarios other than beam management. The embodiments of the present application are not limited thereto.

[0218] Optionally, the terminal-side device sending the first message to the network-side device includes:

[0219] The terminal-side device receives a second message sent by the network-side device; wherein, the second message carries a cell identifier;

[0220] The terminal-side device sends the first message to the network-side device according to the cell identifier; wherein, the first AI model is an AI model associated with the cell identifier, and / or, the first AI function is an AI function associated with the cell identifier.

[0221] Wherein, the first message may carry first information associated with a first object; or the first message may carry first indication information for indicating a first object and first information associated with the first object.

[0222] Optionally, the second message may be a broadcast message or other message types other than this, and the embodiments of the present application are not limited thereto.

[0223] For example: The cell identifier may be a cell index or a cell ID.

[0224] For example, in the case where an AI model and / or an AI function is deployed on the terminal-side device, for example, the terminal-side device trains N AI models, and these N models correspond to M AI functions (wherein, N and M are positive integers, and M ≤ N), and a correspondence relationship between the N AI models or M AI functions and the cell identifier and the first information is established. Taking 3 AI models or AI functions as an example, AI model or function #1 corresponds to cell identifier #1 and first information #1, AI model or function #2 corresponds to cell identifier #1 and first information #2, and AI model or function #3 corresponds to cell identifier #2 and first information #3. For example, if the cell identifier carried in the second message sent by the network-side device is: cell identifier #1, then the terminal-side device sends the first message to the network-side device and carries first information #1 and first information #2 to assist the network device in determining whether the AI model or function #1 corresponding to cell identifier #1 and first information #1 and the AI model or function #2 corresponding to cell identifier #1 and first information #2 are available.

[0225] Optionally, the terminal-side device sending the first message to the network-side device according to the cell identifier includes:

[0226] The terminal-side device determines a first object associated with the cell identifier from at least one existing AI model and / or AI function;

[0227] The terminal-side device sends the first message to the network-side device.

[0228] For example, continuing with the above three AI models or AI functions as an example, if the cell identifier carried in the second message sent by the network-side device is: cell identifier #1, then the terminal-side device determines, based on this cell identifier #1, that the first objects corresponding to this cell identifier #1 are AI model or AI function #1 and AI model or AI function #2, and when sending the first message to the network-side device, carries the first information #1 corresponding to AI model or AI function #1 and the first information #2 corresponding to AI model or AI function #2, to assist the network device in determining whether the AI model or AI function #1 corresponding to cell identifier #1 and first information #1, and the AI model or AI function #2 corresponding to cell identifier #1 and first information #2 are available.

[0229] Optionally, the first information includes at least one of the following:

[0230] Beam codebook identifier;

[0231] Time-related information of the reference signal.

[0232] Optionally, the time-related information of the reference signal includes:

[0233] Time identifier of the reference signal; for example: the time identifier can be a time index defined with a certain time granularity (such as hours, etc.).

[0234] Time offset value of the reference signal.

[0235] Example 1: Taking the network-side device as a base station as an example, the base station broadcasts a second message carrying the cell identifier. The UE-side device determines whether the cell identifier of the reference signal used during model training is the same as the cell identifier broadcast by the base station. If the cell identifier sent by the base station is the same as the cell identifier of the reference signal used by the UE-side device during model training, then report the beam codebook identifier corresponding to the reference signal used during model training to the base station, so that the base station can determine whether the AI model or AI function is available based on whether the beam codebook identifier reported by the terminal is the same as the beam codebook identifier corresponding to the AI model or AI function used for inference.

[0236] Example 2: Continuing with the network-side device being a base station as an example, the base station broadcasts a second message carrying a cell identifier. The UE-side device determines whether the cell identifier of the reference signal used during model training is the same as the cell identifier broadcast by the base station. If the cell identifier sent by the base station is the same as the cell identifier of the reference signal corresponding to the UE-side device model training, the time-related information corresponding to the reference signal used during model training is reported to the base station. In this way, the base station can, based on the time-related information reported by the terminal, determine whether the beam codebook of the reference signal used during model training corresponding to this time-related information is the same as or similar to the beam codebook corresponding to the AI model or AI function used for inference, to determine whether the AI model or AI function is available.

[0237] In this embodiment, the base station broadcasts the cell identifier, and the UE-side device determines whether there is a corresponding AI model or AI function (i.e., a potentially supported AI model or AI function for this base station) based on the cell identifier broadcast by the base station, and reports the first information (such as beam codebook identifier and / or time-related information) corresponding to the reference signal used during the training of the AI model or AI function to the base station to assist the base station in determining whether the AI model or AI function is available. For example: If the base station determines that the beam codebook of the reference signal used during the training of the AI model or AI function corresponding to the first information is the same as or similar to the beam codebook corresponding to the AI model or AI function used for inference, it determines that the AI model or AI function is available, otherwise it determines that it is not available. In this way, when the base station determines the result of whether the AI model or AI function is available or not, it can avoid the situation of misusing the AI model or AI function due to beam codebook mismatch, thus ensuring the performance of AI-based beam management.

[0238] Optionally, before the terminal-side device sends a first message to the network-side device, it further includes:

[0239] The terminal-side device receives the reference signal sent by the network-side device;

[0240] The terminal-side device measures according to the reference signal to obtain a measurement result;

[0241] The terminal-side device performs model training according to the measurement result to determine a first AI model;

[0242] The terminal-side device establishes a correspondence relationship between the first AI model and the cell identifier and / or the first information, and / or establishes a correspondence relationship between the first AI function corresponding to the first AI model and the cell identifier and / or the first information.

[0243] Optionally, before the terminal device establishes the correspondence between the first AI model and the cell identifier and / or the first information, and / or establishes the correspondence between the first AI function corresponding to the first AI model and the cell identifier and / or the first information, the method further includes:

[0244] The terminal device receives a fourth message sent by the network device; wherein, the fourth message carries the cell identifier and / or the first information. For example: the fourth message may be a broadcast message or other message types, and the embodiments of the present application are not limited thereto.

[0245] For example: when the network device configures or sends the reference signal, it carries the beam codebook identifier and / or time-related information to inform the terminal device of the beam codebook identifier corresponding to the reference signal and / or the time-related information of the reference signal. Considering that the beam codebook is the proprietary information of the network device, different beam codebook identifiers can be used here to represent different beam codebooks corresponding to the reference signal. For example, if the sent reference signal corresponds to the beam codebook identifier 1, it means the beam codebook 1 corresponding to the reference signal (the information such as the angle and shape of the beam corresponding to the beam codebook 1 is known to the network device, and for the terminal device, it only needs to know the beam codebook identifier 1 corresponding to the reference signal), so as to realize the availability judgment of the AI model and / or the AI function while avoiding the exposure of the proprietary information of the network device.

[0246] It should be noted that the network device sends a reference signal to the terminal device for the terminal device to perform model training, and the network device sends a fourth message to the terminal device, carrying the cell identifier corresponding to the reference signal for model training and / or the first information corresponding to the reference signal for model training, for the terminal device to establish the correspondence. The network device that sends the reference signal and / or the fourth message to the terminal device and the network device that receives the first message sent by the terminal device may be the same or different. For example: Network device 1 sends a reference signal for model training and / or the fourth message to the terminal device. After the terminal device performs model training, it may access network device 1 at a certain moment, then the terminal device may send the first message to network device 1; or Network device 1 sends a reference signal for model training and / or the fourth message to the terminal device. After the terminal device performs model training, it may access network device 2, then the terminal device may send the first message to network device 2.

[0247] It should be noted that in the embodiments of the present application, the UE or the UE-side server may perform model training and model storage. For example, when the UE-side server performs model training and model storage, the communication between the UE and the UE-side server belongs to the internal behavior of the UE side. The communication process between the UE and the UE-side server is not discussed in the embodiments of the present application, and the UE and the UE-side server are collectively referred to as UE-side devices.

[0248] For example, the UE-side device believes that only when the cell identities in the training and inference phases are the same is it possible to apply the AI model or AI function. If they are the same, the UE-side device reports the first information corresponding to the AI model or AI function through the model identification or function identification process. The first information may be the beam codebook identifier corresponding to the reference signal and / or time-related information. The base station determines whether the AI model or AI function is available based on the first information reported by the UE-side device. If it is available, the base station performs the processing of the corresponding AI model or AI function. As Figure 2 shown, the specific process includes:

[0249] Step 1: The base station configures and sends reference signals to UE1 and UE2 for the UE-side device to collect data for model training;

[0250] Optionally, when the base station sends the reference signal, it provides the cell identity and the first information corresponding to the reference signal. For example, the cell identity and the first information can be sent to UE1 and UE2 by broadcasting.

[0251] Step 2: The UE-side device trains the model and establishes the correspondence between the AI model or AI function and the cell identity and the first information;

[0252] For example, the correspondence can be that one cell identity and the first information correspond to one AI model or AI function, or one cell identity and the first information correspond to multiple AI models or AI functions.

[0253] Step 3: UE3 accesses the cell of the base station and receives the cell identity broadcast by the base station;

[0254] Step 4: The UE-side device determines whether there is an AI model or AI function associated with the cell identity received in Step 3;

[0255] Step 5: If there is, UE3 performs model identification or function identification to notify the base station of the AI model or AI function associated with the cell identity received in Step 3; or reports the AI model or AI function associated with the cell identity received in Step 3 and reports the first information corresponding to the AI model or AI function;

[0256] Step 6: The base station determines whether the AI model or AI function in Step 5 is available according to the first information reported by UE3;

[0257] Step 7: If the AI model or AI function is available, the base station performs relevant processing on the AI model or AI function.

[0258] Optionally, the terminal device sends a first message to the network device, including:

[0259] The terminal device receives a third message sent by the network device; wherein, the third message carries a cell identifier and first information;

[0260] The terminal device sends the first message to the network device according to the cell identifier and the first information; wherein, the first AI model is an AI model associated with the cell identifier and the first information, and / or, the first AI function is an AI function associated with the cell identifier and the first information.

[0261] For example: The cell identifier may be a cell index or a cell ID.

[0262] For example, in the case where the terminal device deploys an AI model and / or an AI function, such as the terminal device trains N AI models, and these N models correspond to M AI functions (where N and M are positive integers, and M ≤ N), and a correspondence relationship between the N AI models or M AI functions and the cell identifier and the first information is established. Taking 3 AI models or AI functions as an example, AI model or function #1 corresponds to cell identifier #1 and first information #1, AI model or function #2 corresponds to cell identifier #1 and first information #2, and AI model or function #3 corresponds to cell identifier #2 and first information #3. For example, if the cell identifier carried in the second message sent by the network device is: cell identifier #1, and the first information is: first information #1, then the terminal device sends the first message to the network device according to the cell identifier #1 and the first information #1, and carries a first indication information to indicate that the first object is AI model or function #1, so as to notify the network device that the AI model or function #1 corresponding to the cell identifier #1 and the first information #1 is available.

[0263] Optionally, the terminal device sends the first message to the network device according to the cell identifier and the first information, including:

[0264] The terminal device determines a first object associated with the cell identifier and the first information from at least one existing AI model and / or AI function;

[0265] The terminal device sends the first message to the network device.

[0266] For example, continuing with the above three AI models or AI functions as an example, if the cell identifier carried in the second message sent by the network-side device is: cell identifier #1 and first information #1, then the terminal-side device determines, based on the cell identifier #1 and the first information #1, that the first object corresponding to the cell identifier #1 and the first information #1 is AI model or AI function #1, and carries first indication information when sending the first message to the network-side device, for indicating that the first object is AI model or AI function #1, so as to notify the network device that AI model or AI function #1 corresponding to the cell identifier #1 and the first information #1 is available.

[0267] Optionally, the first information includes at least one of the following:

[0268] Beam codebook identifier;

[0269] Time-related information of the reference signal.

[0270] Optionally, the time-related information of the reference signal includes:

[0271] Time identifier of the reference signal; for example: the time identifier can be a time index defined with a certain time granularity (such as hours, etc.).

[0272] Time offset value of the reference signal.

[0273] For example: taking the network-side device as a base station as an example, the base station broadcasts a second message carrying the cell identifier and the beam codebook identifier. The UE-side device determines whether the cell identifier and the beam codebook identifier of the reference signal used during model training are consistent with those broadcast by the base station. If the cell identifier and the beam codebook identifier sent by the base station are consistent with the cell identifier and the beam codebook identifier of the reference signal corresponding to the UE-side device model training, it is determined that the corresponding AI model or AI function is available and notified to the network-side device.

[0274] In this embodiment, the base station broadcasts the cell identifier and the beam codebook identifier, and the UE-side device determines whether the corresponding AI model or AI function is available according to the cell identifier and the beam codebook identifier broadcast by the base station, and notifies the base station of the result of the determination of availability. In this way, when the base station determines the result of the availability or unavailability of the AI model or AI function, it can avoid the situation of misusing the AI model or AI function due to beam codebook mismatch, thus ensuring the performance of AI-based beam management.

[0275] Optionally, before the terminal-side device sends the first message to the network-side device, it further includes:

[0276] The terminal-side device receives the reference signal sent by the network-side device;

[0277] The terminal-side device measures according to the reference signal to obtain a measurement result;

[0278] The terminal-side device performs model training according to the measurement result to determine a first AI model;

[0279] The terminal-side device establishes a correspondence between the first AI model and the cell identifier and / or the first information, and / or establishes a correspondence between the first AI function corresponding to the first AI model and the cell identifier and / or the first information.

[0280] Optionally, before the terminal-side device establishes a correspondence between the first AI model and the cell identifier and / or the first information, and / or establishes a correspondence between the first AI function corresponding to the first AI model and the cell identifier and / or the first information, it further includes:

[0281] The terminal-side device receives a fourth message sent by the network-side device; wherein, the fourth message carries the cell identifier and / or the first information. For example: the fourth message may be a broadcast message or other message types other than this, and the embodiments of the present application are not limited thereto.

[0282] For example: when the network-side device configures or sends the reference signal, it carries the beam codebook identifier and / or time-related information to inform the terminal-side device of the beam codebook identifier corresponding to the reference signal and / or the time-related information of the reference signal. The network-side device sends a reference signal to the terminal-side device for the terminal-side device to perform model training; the network-side device sends a fourth message to the terminal-side device, carrying the cell identifier corresponding to the reference signal for model training and / or the first information corresponding to the reference signal for model training, for the terminal-side device to establish the correspondence.

[0283] It should be noted that in the embodiments of the present application, model training and model storage may be performed by the UE or the UE-side server. For example, when the UE-side server performs model training and model storage, the communication between the UE and the UE-side server belongs to the internal behavior of the UE side. The communication process between the UE and the UE-side server is not discussed in the embodiments of the present application, and the UE and the UE-side server are collectively referred to as the UE-side device.

[0284] For example, the process of the UE-side device determining whether the AI model or the AI function is available, as Figure 3 shown, the specific process includes:

[0285] Step 1: The base station configures and sends a reference signal to UE1 and UE2 for the UE-side device to collect data and perform model training;

[0286] Optionally, when the base station sends a reference signal, it provides the cell identifier corresponding to the reference signal and the first information. For example, the cell identifier and the first information can be sent to UE1 and UE2 by broadcasting.

[0287] Step 2: The UE-side device trains a model to establish a correspondence between the AI model or AI function and the cell identifier and the first information.

[0288] For example, the correspondence can be that one cell identifier and the first information correspond to one AI model or AI function, or one cell identifier and the first information correspond to multiple AI models or AI functions.

[0289] Step 3: UE3 accesses the cell of the base station and receives the cell identifier and the first information broadcast by the base station.

[0290] Step 4: The UE-side device determines whether there is an AI model or AI function associated with the cell identifier and the first information received in Step 3.

[0291] Step 5: If there is, UE3 performs model identification or function identification to notify the base station of the AI model or AI function associated with the cell identifier and the first information received in Step 3; or reports the AI model or AI function associated with the cell identifier and the first information received in Step 3.

[0292] Optionally, before the terminal-side device sends a first message to the network-side device, it further includes:

[0293] The terminal-side device receives the reference signal sent by the network-side device.

[0294] The terminal-side device measures according to the reference signal to obtain a measurement result.

[0295] The terminal-side device trains a model according to the measurement result to determine a first AI model.

[0296] The terminal-side device establishes a correspondence between the first AI model and the cell identifier and / or the first information, and / or establishes a correspondence between the first AI function corresponding to the first AI model and the cell identifier and / or the first information.

[0297] Optionally, before the terminal-side device establishes a correspondence between the first AI model and the cell identifier and / or the first information, and / or establishes a correspondence between the first AI function corresponding to the first AI model and the cell identifier and / or the first information, it further includes:

[0298] The terminal-side device receives a fourth message sent by the network-side device; wherein, the fourth message carries a cell identifier and / or first information. For example: the fourth message may be a broadcast message or other message types other than this, and the embodiments of the present application are not limited thereto.

[0299] In this embodiment, during the model training process, the terminal-side device may establish a correspondence between the first AI model and the cell identifier and / or first information, and / or establish a correspondence between the first AI function corresponding to the first AI model and the cell identifier and / or first information. Optionally, when the network-side device sends a reference signal for model training, it may also provide the first information corresponding to the reference signal (such as sending it in the form of base station broadcast or informing the beam codebook identifier and / or time-related information offline) to establish the correspondence.

[0300] For example, the terminal-side device may report to the base station the establishment of the correspondence between the first AI model and the cell identifier and / or first information during the model training process, and / or the establishment of the correspondence between the first AI function corresponding to the first AI model and the cell identifier and / or first information. For example, when the base station knows the first AI model and / or the first AI function deployed by the terminal-side device, the first message may carry the cell identifier associated with the first AI model and / or the first AI function, and / or the first information associated with the first AI model and / or the first AI function. Another example: when the base station does not know the first AI model and / or the first AI function deployed by the terminal-side device, in addition to carrying the cell identifier associated with the first AI model and / or the first AI function, and / or the first information associated with the first AI model and / or the first AI function, the first message may also carry the first indication information for indicating the first AI model and / or the first AI function.

[0301] In this way, the base station can determine whether the first AI model and / or the first AI function is available according to the cell identifier and the first information associated with the first AI model and / or the first AI function reported by the UE. For example: if the first information includes a beam codebook identifier, the base station can determine whether the AI model or the AI function is available based on whether the beam codebook identifier reported by the terminal is consistent with the beam codebook identifier corresponding to the AI model or the AI function used for inference. Another example: if the first information includes time-related information, the base station can determine whether the AI model or the AI function is available based on the time-related information reported by the terminal and judging whether the beam codebook of the reference signal used during the model training corresponding to the time-related information is consistent or similar to the beam codebook corresponding to the AI model or the AI function used for inference.

[0302] In this embodiment, the terminal-side device reports to the base station the correspondence relationship established between the first AI model and the cell identifier and / or the first information, and / or the correspondence relationship established between the first AI function corresponding to the first AI model and the cell identifier and / or the first information during the model training process. The base station determines whether the first AI model or the first AI function is available based on this correspondence relationship. In this way, based on the result of whether the first AI model or the first AI function is available or not, the base station performs relevant processing on the first AI model or the first AI function, which can avoid the situation of misusing the AI model or the AI function due to beam codebook mismatch, thus ensuring the performance of AI-based beam management.

[0303] It should be noted that in the embodiments of this application, the UE or the UE-side server can perform model training and model storage. For example, when the UE-side server performs model training and model storage, the communication between the UE and the UE-side server belongs to the internal behavior of the UE side. The embodiments of this application do not discuss the communication process between the UE and the UE-side server, and the UE and the UE-side server are collectively referred to as the UE-side device.

[0304] It should also be noted that the network-side device includes an access network device and / or a core network device. For example, the functions for storing this correspondence relationship and sending reference signals in the network-side device are deployed on different nodes (or devices). For example, the first node of the network-side device stores the correspondence relationship between the cell identifier and the first information and the corresponding AI model and / or AI function. The communication between the base station and this first node belongs to the behavior of the network side, and the base station and this node are collectively referred to as the network-side device.

[0305] For example, the process in which the terminal-side device reports to the network-side device the correspondence relationship established between the first AI model and the cell identifier and / or the first information, and / or the correspondence relationship established between the first AI function corresponding to the first AI model and the cell identifier and / or the first information during the model training process, and the network-side device determines whether the AI model or the AI function is available, as Figure 4 shown, the specific process includes:

[0306] Step 0: The network-side device (such as the first node) pre-establishes the correspondence relationship between the cell identifier and the first information and the beam codebook;

[0307] Step 1: The base station configures and sends reference signals to UE1 and UE2 for the UE-side device to collect data for model training;

[0308] Optionally, when the base station sends the reference signal, it provides the cell identifier and the first information corresponding to the reference signal. For example: The cell identifier and the first information can be sent to UE1 and UE2 by means of broadcasting.

[0309] Step 2: The UE-side device trains the model to establish the correspondence between the AI model or AI function and the cell identifier and the first information;

[0310] For example: The correspondence can be that one cell identifier and the first information correspond to one AI model or AI function, or one cell identifier and the first information correspond to multiple AI models or AI functions.

[0311] Step 3: UE3 performs model identification or function identification to inform the base station of the correspondence between the first AI model and the cell identifier and / or the first information established during its model training, and / or, the correspondence between the first AI function corresponding to the first AI model and the cell identifier and / or the first information; or, reports the correspondence between the first AI model and the cell identifier and / or the first information established during the model training, and / or, the correspondence between the first AI function corresponding to the first AI model and the cell identifier and / or the first information to the base station.

[0312] Step 4: The network-side device determines whether the corresponding beam codebooks are the same or similar according to the correspondence in Step 0 and the correspondence reported by UE3 in Step 3.

[0313] Step 5: If it is determined in Step 4 that the beam codebooks are the same or similar, perform the relevant processing of the first AI model and / or the first AI function.

[0314] Optionally, in the case that the first indication information is not included in the first message, the information processing method further includes: the terminal-side device performs model identification of the first AI model; and / or, the terminal-side device performs function identification of the first AI function.

[0315] In this embodiment, the terminal-side device can enable the network-side device to know the first AI model and / or the first AI model function deployed by it through model identification or function identification.

[0316] The terminal-side device involved in the embodiments of the present application can be a device that provides voice and / or data connectivity to users, such as a handheld device with wireless connection capabilities, or other processing devices connected to a wireless modem (such as a so-called terminal device), or it can also be a server on the terminal side. In different systems, the name of the terminal device may also be different. For example, the terminal device can be called a User Equipment (UE). The wireless terminal-side device can communicate with one or more core networks (CN) via a Radio Access Network (RAN). The wireless terminal device can be a mobile terminal device, such as a mobile phone (or a so-called "cellular" phone) and a computer with a mobile terminal device. For example, it can be a portable, pocket-sized, handheld, computer-integrated, or vehicle-mounted mobile device that exchanges voice and / or data with the wireless access network. For example, devices such as Personal Communication Service (PCS) phones, cordless phones, Session Initiated Protocol (SIP) phones, Wireless Local Loop (WLL) stations, and Personal Digital Assistant (PDA). The wireless terminal device can also be called a system, a subscriber unit, a subscriber station, a mobile station, a mobile, a remote station, an access point, a remote terminal device, an access terminal device, a user terminal device, a user agent, a user device, which is not limited in the embodiments of the present application.

[0317] As Figure 5 shown, the embodiments of the present application provide an information processing method, including the following steps:

[0318] Step 51: The network-side device receives a first message sent by the terminal-side device.

[0319] Step 52: The network-side device performs relevant processing on the first object according to the first message.

[0320] Wherein, the first message carries at least one of the following information:

[0321] The first indication information is used to indicate a first object; the first object includes a first AI model and / or a first AI function;

[0322] First information associated with the first object, where the first information is related to input and / or output;

[0323] Cell identifier associated with the first object.

[0324] Optionally, before the network-side device receives a first message sent by the terminal-side device, it further includes:

[0325] The network-side device sends a second message to the terminal-side device; wherein, the second message carries a cell identifier; the first AI model is an AI model associated with the cell identifier, and / or, the first AI function is an AI function associated with the cell identifier.

[0326] Optionally, before the network-side device receives a first message sent by the terminal-side device, it further includes:

[0327] The network-side device sends a third message to the terminal-side device; wherein, the third message carries a cell identifier and first information; the first AI model is an AI model associated with the cell identifier and the first information, and / or, the first AI function is an AI function associated with the cell identifier and the first information.

[0328] Optionally, before the network-side device receives a first message sent by the terminal-side device, it further includes:

[0329] The network-side device sends a reference signal and / or a fourth message to the terminal-side device; wherein, the reference signal is used to train the first AI model and / or the AI model corresponding to the first AI function; the fourth message carries a cell identifier and / or first information.

[0330] For example: The cell identifier and / or first information carried by the fourth message can be used to establish a correspondence between the first AI model and the cell identifier and / or first information, or to establish a correspondence between the first AI function and the cell identifier and / or first information.

[0331] Optionally, the first information includes at least one of the following:

[0332] Beam codebook identifier;

[0333] Time-related information of the reference signal.

[0334] Optionally, the time-related information of the reference signal includes:

[0335] Time identifier of the reference signal;

[0336] Time offset value of the reference signal.

[0337] Optionally, the first object includes at least one of the following:

[0338] The first AI model existing in or supported by the terminal-side device;

[0339] The first AI function existing in or supported by the terminal-side device;

[0340] The first AI model available to the network-side device;

[0341] The first AI function available to the network-side device.

[0342] Optionally, when the first indication information carried in the first message is used to indicate that the first object is the first AI model and / or the first AI function available to the network-side device, the network-side device determines that the first object is available and performs the relevant processing of the first object.

[0343] Optionally, the network-side device performs the relevant processing of the first object according to the first message, including:

[0344] When the first message carries the first information, the network-side device determines the first object associated with the first information and performs the relevant processing of the first object;

[0345] Or,

[0346] When the first message carries the cell identifier and the first information, the network-side device determines the first object associated with the cell identifier and the first information and performs the relevant processing of the first object.

[0347] For example: When the network-side device knows the AI model and / or AI function deployed by the terminal-side device (which can be known in an explicit or implicit manner), such as when the network-side device also knows the correspondence between the AI model and / or AI function deployed by the terminal-side device and the first information (or there is a pre-agreement between the network-side device and the terminal-side device on the correspondence between the AI model and / or AI function and the first information), then the network-side device can determine that the first object associated with the first information carried in the first message is available and perform the relevant processing of the first object.

[0348] For example, in the case where the network - side device knows the AI model and / or AI function deployed by the terminal - side device (which can be known in an explicit or implicit manner), for example, the network - side device also knows the correspondence between the AI model and / or AI function deployed by the terminal - side device and the first information and the cell identifier (or there is a pre - agreed correspondence between the network - side device and the terminal - side device for the AI model and / or AI function and the first information and the cell identifier), then the network - side device can determine that the first object associated with the cell identifier and the first information is available according to the first information associated with the first object carried in the first message and the cell identifier associated with the first object, and perform relevant processing on the first object.

[0349] Optionally, the performing relevant processing on the first object includes at least one of the following:

[0350] Activating or de - activating the first object;

[0351] Activating or de - activating the configuration information related to the first object;

[0352] Sending the configuration information related to the first object.

[0353] For example, activating or de - activating the first object includes but is not limited to at least one of the following: activating or de - activating the first AI model, activating or de - activating the first AI function, activating or de - activating all or part of the AI models corresponding to the first AI function, etc.

[0354] For example, activating or de - activating the configuration information related to the first object includes but is not limited to at least one of the following: activating or de - activating the configuration information related to the first AI model, activating or de - activating the configuration information related to the first AI function.

[0355] For example, for the first AI model and / or the first AI function, at least one (or at least one set) of configuration information can be pre - configured or agreed based on the protocol. When it is necessary to use the first AI model and / or the first AI function to implement the corresponding communication function or optimize the communication performance, one or more of the configuration information can be activated. Optionally, the configuration information related to the first AI model can be the configuration information related to the input of the first AI model; the configuration information related to the first AI function can be the configuration information related to the input of the AI model corresponding to the first AI function. For example, taking the first AI model and / or the first AI function used for beam management as an example, the configuration information can be the configuration information of the reference signal.

[0356] For example, sending the configuration information related to the first object includes but is not limited to at least one of the following: sending the configuration information related to the first AI model, sending the configuration information related to the first AI function.

[0357] Optionally, the configuration information related to the first AI model may be the configuration information related to the input of the first AI model; the configuration information related to the first AI function may be the configuration information related to the input of the AI model corresponding to the first AI function. For example, taking the first AI model and / or the first AI function being used for beam management as an example, the configuration information may be the configuration information of the reference signal.

[0358] It should be noted that the information processing method of the above network-side device in the embodiments of the present application and the information processing method of the above terminal-side device are based on the same inventive concept, and the embodiments thereof can be referred to each other, and the same technical effects can be achieved, and the similarities will not be elaborated herein.

[0359] The network-side devices involved in the embodiments of this application include access network devices, core network devices, etc. For example, it can be a base station, which can include multiple cells that provide services to terminals. Depending on the specific application scenario, the base station can also be referred to as an access point, or it can be a device in the access network that communicates with wireless terminal-side devices through one or more sectors on the air interface, or other names. The network-side device can be used to mutually replace the received airframe with Internet Protocol (IP) packets and act as a router between the wireless terminal device and the rest of the access network, where the rest of the access network can include an Internet Protocol (IP) communication network. The network-side device can also coordinate the attribute management of the air interface. For example, the network-side device involved in the embodiments of this application can be a network-side device (Base Transceiver Station, BTS) in a Global System for Mobile communications (GSM) or Code Division Multiple Access (CDMA), or a network-side device (NodeB) in a Wide-band Code Division Multiple Access (WCDMA), or an evolved network-side device (evolutional Node B, eNB or e-NodeB) in a Long Term Evolution (LTE) system, a 5G base station (gNB) in a 5G network architecture (next generation system), or a Home evolved Node B (HeNB), a relay node, a femto, a pico, or a 6G base station, etc. The embodiments of this application do not limit it. In some network structures, the network-side device can include a centralized unit (centralized unit, CU) node and a distributed unit (distributed unit, DU) node, and the centralized unit and the distributed unit can also be geographically separated.

[0360] The following describes the information processing method provided by the embodiments of this application in combination with specific embodiments:

[0361] Embodiment 1: The UE-side device deploys an AI or ML model for airspace beam prediction.

[0362] Step 1: In the data collection phase, the UE-side device receives the reference signals sent by the network-side device (such as a base station), and provides the cell identifier (such as a cell index or a cell ID) and the time-related information of the reference signals to the UE. The base station may use different beam codebooks in different time periods, and the network side knows the codebook information corresponding to the base station in each time period. The time-related information may be at least one of the following:

[0363] a) The time identifier of the reference signal, such as a time index defined with a certain time granularity (such as hours);

[0364] b) The time offset value of the reference time;

[0365] Step 2: The UE-side device constructs a training data set based on the collected reference signals, cell identifiers, and time-related information to train the AI model. For example, the UE-side device trains several AI models to form 3 AI functions. The association relationships between these 3 AI functions and the cell identifier and time identifier are as Figure 6 shown.

[0366] Step 3: A certain UE accesses the cell and receives the cell identifier broadcast by the base station as cell identifier #1;

[0367] Step 4: The UE identifies that among the existing AI functions of the UE-side device, the AI functions associated with cell identifier #1 are AI function #1 and AI function #2;

[0368] Step 5: The UE performs function identification of AI function #1 and AI function #2, or reports the supported functions as AI function #1 and AI function #2, and reports the time identifier of AI function #1 as time identifier #1 and the time identifier of AI function #2 as time identifier #2;

[0369] Step 6: The base station receives the information reported by the UE, and determines that the current beam codebook (such as the beam codebook corresponding to the reference signal used for inference by the AI model or AI function) is the same as the beam codebook corresponding to time identifier #2, then determines that AI function #2 is available;

[0370] Step 7: The base station performs relevant processing of AI function #2. For example, activates the AI function or AI model corresponding to this AI function #2, or activates the configuration information corresponding to this AI function #2, or sends the configuration information corresponding to this AI function #2, etc.

[0371] Embodiment 2: The UE-side device deploys an AI or ML model for airspace beam prediction.

[0372] Step 0: The network-side device establishes the corresponding relationships between the cell identifier, time identifier, and beam codebook, as Figure 7 shown;

[0373] Step 1: In the data collection phase, the UE-side device receives the reference signal sent by the network-side device (such as a base station), and provides the cell identifier (such as cell index or cell ID) and time-related information of the reference signal to the UE-side device. The base station may use different beam codebooks in different time periods, and the network-side device knows the codebook information corresponding to the base station in each time period. The time-related information can be at least one of the following:

[0374] a) The time identifier of the reference signal, such as a time index defined with a certain time granularity (such as hours);

[0375] b) The time offset value of the reference time;

[0376] Step 2: The UE-side device constructs a training data set based on the collected reference signal, cell identifier, and time-related information to train the AI model. For example, the UE-side device trains several AI models to form 3 AI functions. The association relationships between these 3 AI functions, cell identifiers, and time identifiers are: AI function #1 has an association relationship with cell identifier #1 and time identifier #1, AI function #2 has an association relationship with cell identifier #1 and time identifier #2, and AI function #3 has an association relationship with cell identifier #2 and time identifier #3.

[0377] Step 3: The UE performs function recognition and reports that AI function #1 has an association relationship with cell identifier #1 and time identifier #1, AI function #2 has an association relationship with cell identifier #1 and time identifier #2, and AI function #3 has an association relationship with cell identifier #2 and time identifier #3;

[0378] Step 4: The network-side device determines whether there is an available AI function based on the information reported by the UE; for example, the current cell identifier and time identifier are: cell identifier #3, time identifier #1, and the associated beam codebook #2 (for example, the beam codebook corresponding to the reference signal used for inference by the AI model corresponding to the AI function is: beam codebook #2, and the network-side device knows that beam codebook #2 is associated with cell identifier #3 and time identifier #1). If the cell identifier #1 and time identifier #2 corresponding to AI function #2 in the information reported by the UE are also associated with beam codebook #2, then the network-side device determines that AI function #2 is available;

[0379] Step 5: The base station performs related processing of AI function #2. For example, activate the AI function or AI model corresponding to this AI function #2, or activate the configuration information corresponding to this AI function #2, or send the configuration information corresponding to this AI function #2, etc. Embodiment 3: The UE-side device deploys an AI or ML model for airspace beam prediction.

[0380] Step 1: Data collection phase: The UE-side device receives the reference signal sent by the base station and provides the cell identifier and beam codebook identifier to the UE;

[0381] Step 2: The UE-side device constructs a training dataset based on the collected reference signals, cell identifiers, and beam codebook identifiers to train the AI model. For example, the UE-side device trains 3 AI models, and the association relationships between these 3 AI models and the cell identifiers and beam codebook identifiers are as Figure 8 shown.

[0382] Step 3: A certain UE accesses the cell of the base station and receives the cell identifier and beam codebook identifier broadcast by the base station as: cell identifier #1, beam codebook identifier #1;

[0383] Step 4: If the UE identifies that AI model #1 has an association relationship with cell identifier #1 and beam codebook identifier #1, the UE determines that AI model #1 is available;

[0384] Step 5: The UE performs model recognition of AI model #1, or reports the supported (or available) model as AI model #1.

[0385] In the embodiment of the present application, it is determined whether the beam codebook corresponding to the reference signal used during model training and the beam codebook used during inference are the same or similar according to the cell identifier and the first information, so as to determine whether the AI model or AI function is available, so as to ensure that the network-side device can know or determine whether the AI model or AI function is available, so as to avoid the situation of misusing the AI model or AI function due to beam codebook mismatch, thereby ensuring the beam prediction performance based on AI technology.

[0386] The above embodiments introduce the information processing method of the present application. Next, this embodiment will further describe the corresponding device, terminal-side device, and network-side device in conjunction with the accompanying drawings.

[0387] As Figure 9 shown, the embodiment of the present application provides an information processing device, including a memory 91, a transceiver 92, and a processor 93; wherein, the memory 91 is used to store computer programs; the transceiver 92 is used to transmit and receive data under the control of the processor 93; for example, the transceiver 92 is used to receive and transmit data under the control of the processor 93; the processor 93 is used to read the computer program in the memory 91 and perform the following operations:

[0388] Send a first message to the network-side device; wherein, the first message carries at least one of the following information:

[0389] First indication information for indicating a first object; the first object includes a first artificial intelligence AI model and / or a first AI function;

[0390] First information associated with the first object, the first information being related to the input and / or output;

[0391] The cell identifier associated with the first object.

[0392] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0393] Receive a second message sent by the network-side device; wherein, the second message carries a cell identifier;

[0394] According to the cell identifier, send the first message to the network-side device; wherein, the first AI model is an AI model associated with the cell identifier, and / or, the first AI function is an AI function associated with the cell identifier.

[0395] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0396] Determine a first object associated with the cell identifier from at least one existing AI model and / or AI function;

[0397] Send the first message to the network-side device.

[0398] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0399] Receive a third message sent by the network-side device; wherein, the third message carries a cell identifier and first information;

[0400] According to the cell identifier and the first information, send the first message to the network-side device; wherein, the first AI model is an AI model associated with the cell identifier and the first information, and / or, the first AI function is an AI function associated with the cell identifier and the first information.

[0401] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0402] Determine a first object associated with the cell identifier and the first information from at least one existing AI model and / or AI function;

[0403] Send the first message to the network-side device.

[0404] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0405] Receive a reference signal sent by the network-side device;

[0406] Perform measurements according to the reference signal to obtain a measurement result;

[0407] Perform model training based on the measurement results to determine the first AI model;

[0408] Establish a correspondence between the first AI model and the cell identifier and / or the first information, and / or establish a correspondence between the first AI function corresponding to the first AI model and the cell identifier and / or the first information.

[0409] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0410] Receive a fourth message sent by the network-side device; wherein, the fourth message carries the cell identifier and / or the first information.

[0411] Optionally, the first information includes at least one of the following:

[0412] Beam codebook identifier;

[0413] Time-related information of the reference signal.

[0414] Optionally, the time-related information of the reference signal includes:

[0415] Time identifier of the reference signal;

[0416] Time offset value of the reference signal.

[0417] Optionally, the first object includes at least one of the following:

[0418] The first AI model existing in or supported by the terminal-side device;

[0419] The first AI function existing in or supported by the terminal-side device;

[0420] The first AI model available to the network-side device;

[0421] The first AI function available to the network-side device.

[0422] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0423] Perform model recognition of the first AI model;

[0424] And / or

[0425] Perform function recognition of the first AI function.

[0426] Wherein, in Figure 9Among them, the bus architecture may include any number of interconnected buses and bridges, and various circuits represented by one or more processors represented by processor 93 and a memory represented by memory 91 are specifically linked together. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art, and thus will not be further described herein. The bus interface provides an interface. The transceiver 92 may be a plurality of components, that is, including a transmitter and a receiver, and provides a unit for communicating with various other devices on a transmission medium, and these transmission mediums include wireless channels, wired channels, optical fiber cables, and other transmission mediums. For different user devices, the user interface 94 may also be an interface capable of externally connecting and internally connecting required devices, and the connected devices include but are not limited to a keypad, a display, a speaker, a microphone, a joystick, etc.

[0427] The processor 93 is responsible for managing the bus architecture and general processing, and the memory 91 may store data used by the processor 93 when performing operations.

[0428] Optionally, the processor 93 may be a CPU (Central Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), or a CPLD (Complex Programmable Logic Device), and the processor may also adopt a multi-core architecture.

[0429] The processor is used to execute any of the methods provided in the embodiments of the present application according to the obtained executable instructions by calling the computer program stored in the memory. The processor and the memory may also be physically separated.

[0430] It should be noted here that the above device provided in the embodiments of the present application can implement all the method steps implemented by the information processing method embodiments of the above terminal-side device, and can achieve the same technical effects, and the same parts and beneficial effects as those in the method embodiments will not be specifically described in this embodiment.

[0431] As Figure 10 shown, the embodiments of the present application provide a terminal-side device 1000, including:

[0432] A transceiver unit 1010, configured to send a first message to a network-side device; wherein, the first message carries at least one of the following information:

[0433] The first indication information is used to indicate a first object; the first object includes a first artificial intelligence (AI) model and / or a first AI function;

[0434] First information associated with the first object, where the first information is related to input and / or output;

[0435] A cell identifier associated with the first object.

[0436] Optionally, the transceiver unit 1010 is further configured to:

[0437] Receive a second message sent by the network-side device; wherein, the second message carries a cell identifier;

[0438] According to the cell identifier, send the first message to the network-side device; wherein, the first AI model is an AI model associated with the cell identifier, and / or, the first AI function is an AI function associated with the cell identifier.

[0439] Optionally, the transceiver unit 1010 is further configured to:

[0440] Determine a first object associated with the cell identifier from at least one existing AI model and / or AI function;

[0441] Send the first message to the network-side device.

[0442] Optionally, the transceiver unit 1010 is further configured to:

[0443] Receive a third message sent by the network-side device; wherein, the third message carries a cell identifier and first information;

[0444] According to the cell identifier and the first information, send the first message to the network-side device; wherein, the first AI model is an AI model associated with the cell identifier and the first information, and / or, the first AI function is an AI function associated with the cell identifier and the first information.

[0445] Optionally, the transceiver unit 1010 is further configured to:

[0446] Determine a first object associated with the cell identifier and the first information from at least one existing AI model and / or AI function;

[0447] Send the first message to the network-side device.

[0448] Optionally, the terminal-side device 1000 further includes:

[0449] A first receiving unit, configured to receive a reference signal sent by the network-side device;

[0450] A measurement unit, configured to perform measurements based on the reference signal to obtain measurement results;

[0451] A training unit, configured to perform model training based on the measurement results to determine a first AI model;

[0452] An establishing unit, configured to establish a correspondence between the first AI model and a cell identifier and / or first information, and / or establish a correspondence between a first AI function corresponding to the first AI model and a cell identifier and / or first information.

[0453] Optionally, the terminal-side device 1000 further includes:

[0454] A second receiving unit, configured to receive a fourth message sent by the network-side device; wherein, the fourth message carries a cell identifier and / or first information.

[0455] Optionally, the first information includes at least one of the following:

[0456] A beam codebook identifier;

[0457] Time-related information of the reference signal.

[0458] Optionally, the time-related information of the reference signal includes:

[0459] A time identifier of the reference signal;

[0460] A time offset value of the reference signal.

[0461] Optionally, the first object includes at least one of the following:

[0462] A first AI model existing in or supported by the terminal-side device;

[0463] A first AI function existing in or supported by the terminal-side device;

[0464] A first AI model available to the network-side device;

[0465] A first AI function available to the network-side device.

[0466] Optionally, the terminal-side device 1000 further includes:

[0467] An identifying unit, configured to perform model identification of the first AI model; and / or perform function identification of the first AI function.

[0468] It should be noted here that the above terminal-side device provided by the embodiments of the present application can implement all the method steps implemented by the information processing method embodiments of the above terminal-side device, and can achieve the same technical effects. Therefore, the same parts and beneficial effects as those in the method embodiments will not be specifically described herein again.

[0469] To better achieve the above object, as Figure 11 shown, the embodiments of the present application provide an information processing device, including a memory 111, a transceiver 112, and a processor 113; wherein, the memory 111 is used to store computer programs; the transceiver 112 is used to receive and send data under the control of the processor 113; for example, the transceiver 112 is used to receive and send data under the control of the processor 113; the processor 113 is used to read the computer programs in the memory 111 and perform the following operations:

[0470] Receive a first message sent by the terminal-side device;

[0471] According to the first message, perform related processing on the first object;

[0472] Wherein, the first message carries at least one of the following information:

[0473] First indication information for indicating the first object; the first object includes a first artificial intelligence (AI) model and / or a first AI function;

[0474] First information associated with the first object, the first information being related to input and / or output;

[0475] A cell identifier associated with the first object.

[0476] Optionally, the processor is used to read the computer programs in the memory and perform the following operations:

[0477] Send a second message to the terminal-side device; wherein, the second message carries a cell identifier; the first AI model is an AI model associated with the cell identifier, and / or, the first AI function is an AI function associated with the cell identifier.

[0478] Optionally, the processor is used to read the computer programs in the memory and perform the following operations:

[0479] Send a third message to the terminal-side device; wherein, the third message carries a cell identifier and first information; the first AI model is an AI model associated with the cell identifier and the first information, and / or, the first AI function is an AI function associated with the cell identifier and the first information.

[0480] Optionally, the processor is configured to read a computer program in the memory and perform the following operations:

[0481] Send a reference signal and / or a fourth message to the terminal-side device; wherein the reference signal is used to train a first AI model and / or an AI model corresponding to a first AI function; and the fourth message carries a cell identifier and / or first information.

[0482] Optionally, the first information includes at least one of the following:

[0483] Beam codebook identifier;

[0484] Time-related information of the reference signal.

[0485] Optionally, the time-related information of the reference signal includes:

[0486] Time identifier of the reference signal;

[0487] Time offset value of the reference signal.

[0488] Optionally, the first object includes at least one of the following:

[0489] A first AI model existing in or supported by the terminal-side device;

[0490] A first AI function existing in or supported by the terminal-side device;

[0491] A first AI model available to the network-side device;

[0492] A first AI function available to the network-side device.

[0493] Optionally, the processor is configured to read a computer program in the memory and perform the following operations:

[0494] When the first message carries the first information, determine a first object associated with the first information and perform related processing on the first object;

[0495] Or,

[0496] When the first message carries the cell identifier and the first information, determine a first object associated with the cell identifier and the first information and perform related processing on the first object.

[0497] Optionally, the processor is configured to read a computer program in the memory and perform at least one of the following operations:

[0498] Activate or deactivate the first object;

[0499] Activate or deactivate configuration information related to the first object;

[0500] Send configuration information related to the first object.

[0501] Wherein, in Figure 11 The bus architecture may include any number of interconnected buses and bridges, specifically various circuits represented by one or more processors represented by processor 113 and a memory represented by memory 111 are linked together. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art, and thus will not be further described herein. The bus interface provides an interface. The transceiver 112 may be a plurality of components, that is, including a transmitter and a receiver, and provides a unit for communicating with various other devices on a transmission medium, and these transmission mediums include wireless channels, wired channels, optical fiber cables, and other transmission mediums. The processor 113 is responsible for managing the bus architecture and general processing, and the memory 111 may store data used by the processor 113 when executing operations.

[0502] The processor 113 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or a complex programmable logic device (CPLD), and the processor may also adopt a multi-core architecture.

[0503] It should be noted here that the above-mentioned device provided by the embodiment of the present application can implement all the method steps implemented by the information processing method embodiment of the above-mentioned network-side device, and can achieve the same technical effects. The same parts and beneficial effects as those in the method embodiment will not be specifically described in this embodiment.

[0504] Such as Figure 12 As shown, the embodiment of the present application provides a network-side device 1200, including:

[0505] A receiving unit 1210, configured to receive a first message sent by a terminal-side device;

[0506] A processing unit 1220, configured to perform related processing of a first object according to the first message;

[0507] Wherein, the first message carries at least one of the following information:

[0508] First indication information, used to indicate a first object; the first object includes a first artificial intelligence AI model and / or a first AI function;

[0509] The first information associated with the first object; the first information is related to input and / or output;

[0510] The cell identifier associated with the first object.

[0511] Optionally, the network-side device 1200 further includes:

[0512] A first sending unit, configured to send a second message to the terminal-side device; wherein, the second message carries the cell identifier; the first AI model is an AI model associated with the cell identifier, and / or the first AI function is an AI function associated with the cell identifier.

[0513] Optionally, the network-side device 1200 further includes:

[0514] A second sending unit, configured to send a third message to the terminal-side device; wherein, the third message carries the cell identifier and the first information; the first AI model is an AI model associated with the cell identifier and the first information, and / or the first AI function is an AI function associated with the cell identifier and the first information.

[0515] Optionally, the network-side device 1200 further includes:

[0516] A third sending unit, configured to send a reference signal and / or a fourth message to the terminal-side device; wherein, the reference signal is used to train the first AI model, and / or train the AI model corresponding to the first AI function; the fourth message carries the cell identifier and / or the first information.

[0517] Optionally, the first information includes at least one of the following:

[0518] Beam codebook identifier;

[0519] Time-related information of the reference signal.

[0520] Optionally, the time-related information of the reference signal includes:

[0521] Time identifier of the reference signal;

[0522] Time offset value of the reference signal.

[0523] Optionally, the first object includes at least one of the following:

[0524] The first AI model that the terminal-side device already has or supports;

[0525] The first AI function that the terminal-side device already has or supports;

[0526] The first AI model available to the network-side device;

[0527] The first AI function available to the network-side device.

[0528] Optionally, the processing unit 1220 is further configured to:

[0529] When the first message carries the first information, determine a first object associated with the first information, and perform related processing on the first object;

[0530] Or,

[0531] When the first message carries the cell identifier and the first information, determine a first object associated with the cell identifier and the first information, and perform related processing on the first object.

[0532] Optionally, the processing unit 1220 is further configured to perform at least one of the following:

[0533] Activate or deactivate the first object;

[0534] Activate or deactivate configuration information related to the first object;

[0535] Send configuration information related to the first object.

[0536] It should be noted here that the above network-side device provided in the embodiments of the present application can implement all the method steps implemented by the information processing method embodiments of the above network-side device, and can achieve the same technical effects. Therefore, the same parts and beneficial effects as those in the method embodiments will not be specifically described in this embodiment.

[0537] It should be noted that the division of units in the embodiments of the present application is illustrative, and is only a logical function division. In actual implementation, there may be other division methods. In addition, in each embodiment of the present application, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0538] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a processor-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs.

[0539] The embodiments of this application also provide a processor-readable storage medium. The processor-readable storage medium stores a computer program, and the computer program is used to cause the processor to execute the steps of the information processing method of the aforementioned terminal-side device or the information processing method of the network-side device, and can achieve the same technical effects. Here, the same parts and beneficial effects as those in the method embodiments in this embodiment will not be specifically elaborated.

[0540] The processor-readable storage medium can be any available medium or data storage device that the processor can access, including but not limited to magnetic memories (such as floppy disks, hard disks, magnetic tapes, magneto-optical discs (MO), etc.), optical memories (such as CDs, DVDs, BDs, HVDs, etc.), and semiconductor memories (such as ROM, EPROM, EEPROM, non-volatile memories (NANDFLASH), solid-state drives (SSD)).

[0541] Those skilled in the art should understand that the embodiments of this application can be provided as a method, a system, or a computer program product. Therefore, this application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, this application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories and optical memories, etc.) that contain computer-usable program codes.

[0542] This application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer-executable instructions. These computer-executable instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices produce a means for implementing the functions specified in one flow Figure 1 or more flows and / or blocks Figure 1 or a means for implementing the functions specified in one block or more blocks.

[0543] These processor-executable instructions can also be stored in a processor-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the processor-readable memory produce a manufactured article including an instruction means that implements the functions specified in one flow Figure 1 or more flows and / or blocks Figure 1 or a means for implementing the functions specified in one block or more blocks.

[0544] These processor-executable instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one flow Figure 1 or more flows and / or blocks Figure 1 or a means for implementing the functions specified in one block or more blocks.

[0545] In addition, it should be noted that in the apparatuses and methods of the present application, obviously, each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent solutions of the present application. And, the steps of performing the above series of processes can naturally be executed in chronological order according to the described order, but it is not necessary to be executed in chronological order. Certain steps can be executed in parallel or independently of each other. For those of ordinary skill in the art, it is possible to understand that all or any steps or components of the methods and apparatuses of the present application can be implemented in any computing device (including processors, storage media, etc.) or a network of computing devices in hardware, firmware, software, or a combination thereof, which can be achieved by those of ordinary skill in the art using their basic programming skills after reading the description of the present application.

[0546] Obviously, those skilled in the art can make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalent technologies, this application is also intended to include these modifications and variations.

Claims

1. An information processing method, characterized in that, Including: The terminal device sends a first message to the network device; wherein, the first message carries at least one of the following information: First indication information for indicating a first object; the first object includes a first artificial intelligence (AI) model and / or a first AI function; First information associated with the first object, the first information being related to input and / or output; Cell identifier associated with the first object.

2. The information processing method according to claim 1, characterized in that, The terminal device sending the first message to the network device includes: The terminal device receives a second message sent by the network device; wherein, the second message carries a cell identifier; The terminal device sends the first message to the network device according to the cell identifier; wherein, the first AI model is an AI model associated with the cell identifier, and / or, the first AI function is an AI function associated with the cell identifier.

3. The information processing method according to claim 2, characterized in that, The terminal device sending the first message to the network device according to the cell identifier includes: The terminal device determines a first object associated with the cell identifier from at least one existing AI model and / or AI function; The terminal device sends the first message to the network device.

4. The information processing method according to claim 1, characterized in that, The terminal device sending the first message to the network device includes: The terminal device receives a third message sent by the network device; wherein, the third message carries a cell identifier and first information; The terminal device sends the first message to the network device according to the cell identifier and the first information; wherein, the first AI model is an AI model associated with the cell identifier and the first information, and / or, the first AI function is an AI function associated with the cell identifier and the first information.

5. The information processing method according to claim 4, characterized in that, The terminal device sending the first message to the network device according to the cell identifier and the first information includes: The terminal device determines a first object associated with the cell identifier and the first information from at least one existing AI model and / or AI function; The terminal device sends the first message to the network device.

6. The information processing method according to any one of claims 1 to 5, characterized in that, Before the terminal device sends the first message to the network device, it further includes: The terminal device receives a reference signal sent by the network device; The terminal device performs measurements according to the reference signal to obtain a measurement result; The terminal device performs model training according to the measurement result to determine a first AI model; The terminal device establishes a correspondence between the first AI model and the cell identifier and / or the first information, and / or, establishes a correspondence between the first AI function corresponding to the first AI model and the cell identifier and / or the first information.

7. The information processing method according to claim 6, characterized in that, Before the terminal device establishes a correspondence between the first AI model and the cell identifier and / or the first information, and / or, establishes a correspondence between the first AI function corresponding to the first AI model and the cell identifier and / or the first information, it further includes: The terminal-side device receives a fourth message sent by the network-side device; wherein, the fourth message carries a cell identifier and / or first information.

8. The information processing method according to claim 1, characterized in that, The first information includes at least one of the following: Beam codebook identifier; Time-related information of the reference signal.

9. The information processing method according to claim 8, characterized in that, The time-related information of the reference signal includes: Time identifier of the reference signal; Time offset value of the reference signal.

10. The information processing method according to claim 1, wherein The first object includes at least one of the following: The first AI model existing in or supported by the terminal-side device; The first AI function existing in or supported by the terminal-side device; The first AI model available to the network-side device; The first AI function available to the network-side device.

11. The information processing method according to any one of claims 1 to 10, wherein It further includes: The terminal-side device performs model recognition of the first AI model; And / or, The terminal-side device performs function recognition of the first AI function.

12. An information processing method, wherein It includes: The network-side device receives a first message sent by the terminal-side device; The network-side device performs relevant processing of the first object according to the first message; Wherein, the first message carries at least one of the following information: First indication information for indicating the first object; the first object includes a first artificial intelligence (AI) model and / or a first AI function; First information associated with the first object, the first information being related to input and / or output; Cell identifier associated with the first object.

13. The information processing method according to claim 12, wherein Before the network-side device receives the first message sent by the terminal-side device, it further includes: The network-side device sends a second message to the terminal-side device; wherein, the second message carries a cell identifier; the first AI model is an AI model associated with the cell identifier, and / or, the first AI function is an AI function associated with the cell identifier.

14. The information processing method according to claim 12, wherein Before the network-side device receives the first message sent by the terminal-side device, it further includes: The network-side device sends a third message to the terminal-side device; wherein, the third message carries a cell identifier and first information; the first AI model is an AI model associated with the cell identifier and the first information, and / or, the first AI function is an AI function associated with the cell identifier and the first information.

15. The information processing method according to any one of claims 12 to 14, wherein Before the network-side device receives the first message sent by the terminal-side device, it further includes: The network-side device sends a reference signal and / or a fourth message to the terminal-side device; wherein, the reference signal is used to train the first AI model, and / or, train the AI model corresponding to the first AI function; the fourth message carries a cell identifier and / or first information.

16. The information processing method according to claim 12, wherein The first information includes at least one of the following: Beam codebook identifier; Time-related information of the reference signal.

17. The information processing method according to claim 16, wherein The time-related information of the reference signal includes: Time identifier of the reference signal; Time offset value of the reference signal.

18. The information processing method according to claim 12, wherein The first object includes at least one of the following: The first AI model existing in or supported by the terminal-side device; The first AI function existing in or supported by the terminal-side device; The first AI model available to the network-side device; The first AI function available to the network-side device.

19. The information processing method according to claim 12, wherein, The network-side device performs relevant processing of the first object according to the first message, including: When the first message carries the first information, the network side device determines a first object associated with the first information and performs related processing on the first object; Or, When the first message carries the cell identifier and the first information, the network side device determines a first object associated with the cell identifier and the first information and performs related processing on the first object.

20. The information processing method according to claim 19, wherein, The performing related processing on the first object includes at least one of the following: Activating or deactivating the first object; Activating or deactivating configuration information related to the first object; Sending configuration information related to the first object.

21. An information processing apparatus, wherein, Including a memory, a transceiver, and a processor; Wherein, the memory is used to store computer programs; the transceiver is used to transmit and receive data under the control of the processor; the processor is used to read the computer programs in the memory and perform the following operations: Sending a first message to the network side device; wherein, the first message carries at least one of the following information: First indication information for indicating a first object; the first object includes a first artificial intelligence AI model and / or a first AI function; First information associated with the first object, the first information being related to input and / or output; Cell identifier associated with the first object.

22. The information processing apparatus according to claim 21, wherein, The processor is used to read the computer programs in the memory and perform the following operations: Receiving a second message sent by the network side device; wherein, the second message carries a cell identifier; According to the cell identifier, sending the first message to the network side device; wherein, the first AI model is an AI model associated with the cell identifier, and / or, the first AI function is an AI function associated with the cell identifier.

23. The information processing apparatus according to claim 21, wherein, The processor is used to read the computer programs in the memory and perform the following operations: Receiving a third message sent by the network side device; wherein, the third message carries a cell identifier and first information; According to the cell identifier and the first information, sending the first message to the network side device; wherein, the first AI model is an AI model associated with the cell identifier and the first information, and / or, the first AI function is an AI function associated with the cell identifier and the first information.

24. The information processing apparatus according to any one of claims 21 to 23, wherein, The processor is used to read the computer programs in the memory and perform the following operations: Receiving a reference signal sent by the network side device; Performing measurements according to the reference signal to obtain a measurement result; Performing model training according to the measurement result to determine a first AI model; Establishing a correspondence between the first AI model and the cell identifier and / or the first information, and / or, establishing a correspondence between the first AI function corresponding to the first AI model and the cell identifier and / or the first information.

25. A terminal-side device, wherein, Including: A transceiver unit for sending a first message to the network side device; wherein, the first message carries at least one of the following information: First indication information for indicating a first object; the first object includes a first artificial intelligence AI model and / or a first AI function; First information associated with the first object, the first information being related to input and / or output; The cell identifier associated with the first object.

26. An information processing apparatus, characterized in that, Comprising a memory, a transceiver, and a processor; wherein, the memory is used for storing computer programs; the transceiver is used for transceiving data under the control of the processor; the processor is used for reading the computer programs in the memory and performing the following operations: Receiving a first message sent by a terminal-side device; Performing relevant processing of the first object according to the first message; wherein, the first message carries at least one of the following information: First indication information for indicating the first object; the first object includes a first artificial intelligence (AI) model and / or a first AI function; First information associated with the first object, the first information being related to input and / or output; The cell identifier associated with the first object.

27. A network-side device, characterized in that, Including: A receiving unit for receiving a first message sent by a terminal-side device; A processing unit for performing relevant processing of the first object according to the first message; wherein, the first message carries at least one of the following information: First indication information for indicating the first object; the first object includes a first artificial intelligence (AI) model and / or a first AI function; First information associated with the first object; the first information is related to input and / or output; The cell identifier associated with the first object.

28. A processor-readable storage medium, characterized in that, The processor-readable storage medium stores a computer program, and the computer program is used to cause the processor to execute the steps of the information processing method according to any one of claims 1 to 20.

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