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

Abstract

Provided in the present disclosure are an information processing method and apparatus, and a terminal side device and a network device. The method comprises: a terminal side device transmitting to a first network device first information corresponding to a first artificial intelligence (AI) model and / or a first AI function, the first information comprising at least one of the following: beam codebook dimension information; the mapping relationship between reference signals and beams; and the spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set, wherein the first reference signal set is related to an input, and the second reference signal set is related to an output.

Description

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

[0001] This disclosure claims priority to the Chinese patent application filed with the China Patent Office on December 20, 2023, with application number 202311761189.1 and application name “Information processing method, device, terminal-side device and network device”, all contents of which are incorporated by reference in this disclosure. Technical Field

[0002] The present disclosure relates to the field of communication technology, and in particular to an information processing method, apparatus, terminal-side equipment, and network equipment. Background Art

[0003] In New Radio (NR) systems, to combat path loss in high-frequency scenarios, the transmitter and receiver use beam management (BM) to obtain matching beam pairs to improve beamforming gain. In the current beam management process, the base station needs to send reference signals on all transmit beams (Tx beams), resulting in significant consumption of reference signal resources. Furthermore, the terminal (UE) needs to measure the reference signals sent on each Tx beam for all receive beams (Rx beams), resulting in significant measurement overhead.

[0004] To reduce reference signal resource consumption, measurement overhead, and latency, consider using artificial intelligence (AI) or machine learning (ML) technology to predict the optimal beam (or beam pair) based on the measurement results of some beams (or beam pairs) or historical beam (or beam pair) measurements. Because information such as the angle and shape of the transmitted beam is proprietary information on the network side and cannot be communicated to the UE, when using AI or ML technology to implement beam management, the UE may not be able to obtain information such as the angle and shape of the transmitted beam, resulting in inconsistencies between the input and / or output of the UE during the training phase and the input and / or output of the inference phase, making it impossible to guarantee beam management performance.

[0005] Summary of the Invention

[0006] The present disclosure provides an information processing method, apparatus, terminal-side device, and network device to solve the problem that beam management performance cannot be guaranteed when using AI or ML technology to implement beam management.

[0007] An embodiment of the present disclosure provides an information processing method, including:

[0008] The terminal side device sends first information corresponding to the first AI model and / or the first AI function to the first network device;

[0009] The first information includes at least one of the following:

[0010] Beam codebook dimension information;

[0011] The mapping relationship between reference signals and beams;

[0012] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0013] Optionally, the beam codebook dimension information includes at least one of the following:

[0014] beam codebook dimension information corresponding to the first reference signal set;

[0015] Beam codebook dimension information corresponding to the second reference signal set.

[0016] Optionally, the mapping relationship between the reference signal and the beam includes at least one of the following:

[0017] The mapping relationship between reference signal index and beam index;

[0018] The mapping relationship between the order of reference signal arrangement and the order of beam arrangement;

[0019] The mapping relationship between the order of reference signals and beam indices;

[0020] The first indication information is used to indicate a numbering method of the beam index.

[0021] Optionally, the first indication information includes at least one of the following:

[0022] The beam starting angle in the horizontal dimension corresponding to the first beam index;

[0023] The beam starting angle in the vertical dimension corresponding to the first beam index;

[0024] The order in which the beam indices are numbered.

[0025] Optionally, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following:

[0026] The reference signals in the first reference signal set belong to the second reference signal set;

[0027] A quasi-colocation (QCL) relationship is established between the reference signals in the first reference signal set and the reference signals in the second reference signal set.

[0028] Optionally, before the terminal side device sends the first information corresponding to the first AI model and / or the first AI function to the first network device, the method further includes:

[0029] The terminal side device receives a reference signal sent by the second network device;

[0030] The terminal side device measures the reference signal to obtain a measurement result;

[0031] The terminal side device performs model training according to the measurement result to obtain a first AI model, and establishes a corresponding relationship between the first AI model and the first information, and / or establishes a corresponding relationship between the first AI function corresponding to the first AI model and the first information.

[0032] Optionally, before the terminal side device receives the reference signal sent by the second network device, the method further includes:

[0033] The terminal side device receives a first signaling sent by the second network device, wherein the first signaling carries at least one of the following information:

[0034] Beam codebook dimension information;

[0035] The mapping relationship between reference signals and beams;

[0036] A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0037] Optionally, when the first signaling does not include a spatial relationship between a reference signal in the first reference signal set and a reference signal in the second reference signal set, the method further includes:

[0038] The terminal side device determines, based on the first signaling, a spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0039] Optionally, the mapping relationship between the reference signal and the beam is preset.

[0040] The present disclosure provides an information processing method, including:

[0041] The first network device receives first information corresponding to the first AI model and / or the first AI function sent by the terminal side device;

[0042] The first network device sends, according to the first information, a reference signal corresponding to the first AI model and / or the first AI function, or does not send the reference signal corresponding to the first AI model and / or the first AI function;

[0043] The first information includes at least one of the following:

[0044] Beam codebook dimension information;

[0045] The mapping relationship between reference signals and beams;

[0046] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0047] Optionally, the beam codebook dimension information includes at least one of the following:

[0048] beam codebook dimension information corresponding to the first reference signal set;

[0049] Beam codebook dimension information corresponding to the second reference signal set.

[0050] Optionally, the mapping relationship between the reference signal and the beam includes at least one of the following:

[0051] The mapping relationship between reference signal index and beam index;

[0052] The mapping relationship between the order of reference signal arrangement and the order of beam arrangement;

[0053] The mapping relationship between the order of reference signals and beam indices;

[0054] The first indication information is used to indicate a numbering method of the beam index.

[0055] Optionally, the first indication information includes at least one of the following:

[0056] The beam starting angle in the horizontal dimension corresponding to the first beam index;

[0057] The beam starting angle in the vertical dimension corresponding to the first beam index;

[0058] The order in which the beam indices are numbered.

[0059] Optionally, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following:

[0060] The reference signals in the first reference signal set belong to the second reference signal set;

[0061] A QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0062] Optionally, the first network device sending, according to the first information, a reference signal corresponding to the first AI model and / or the first AI function, or not sending a reference signal corresponding to the first AI model and / or the first AI function, includes:

[0063] When the first network device determines, according to the first information, that configuration of a reference signal corresponding to the first AI model and / or the first AI function is supported, sending the reference signal corresponding to the first AI model and / or the first AI function;

[0064] or,

[0065] If the first network device determines, according to the first information, that configuration of a reference signal corresponding to the first AI model and / or the first AI function is not supported, the first network device does not send the reference signal corresponding to the first AI model and / or the first AI function.

[0066] Optionally, the method further includes:

[0067] When the first condition is met, the network device determines to support configuration of a reference signal corresponding to the first AI model and / or the first AI function;

[0068] or,

[0069] If any one of the first conditions is not met, the network device determines that configuration of a reference signal corresponding to the first AI model and / or the first AI function is not supported;

[0070] The first condition includes at least one of the following:

[0071] Determining, by the first network device, that the beam codebook dimension information is consistent with the beam codebook dimension information in the first information;

[0072] Determining, by the first network device, that a spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set in the first information is consistent;

[0073] The first network device determines that the mapping relationship between the reference signal and the beam in the first information is consistent.

[0074] The present disclosure provides an information processing method, including:

[0075] The second network device sends a first signaling to the terminal side device; wherein the first signaling is used to establish a correspondence between the first AI model and the first information and / or a correspondence between the first AI function and the first information;

[0076] The first information includes at least one of the following:

[0077] Beam codebook dimension information;

[0078] The mapping relationship between reference signals and beams;

[0079] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0080] Optionally, the beam codebook dimension information includes at least one of the following:

[0081] beam codebook dimension information corresponding to the first reference signal set;

[0082] Beam codebook dimension information corresponding to the second reference signal set.

[0083] Optionally, the mapping relationship between the reference signal and the beam includes at least one of the following:

[0084] The mapping relationship between reference signal index and beam index;

[0085] The mapping relationship between the order of reference signal arrangement and the order of beam arrangement;

[0086] The mapping relationship between the order of reference signals and beam indices;

[0087] The first indication information is used to indicate a numbering method of the beam index.

[0088] Optionally, the first indication information includes at least one of the following:

[0089] The beam starting angle in the horizontal dimension corresponding to the first beam index;

[0090] The beam starting angle in the vertical dimension corresponding to the first beam index;

[0091] The order in which the beam indices are numbered.

[0092] Optionally, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following:

[0093] The reference signals in the first reference signal set belong to the second reference signal set;

[0094] A QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0095] Optionally, the first signaling carries at least one of the following information:

[0096] Beam codebook dimension information;

[0097] The mapping relationship between reference signals and beams;

[0098] A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0099] Optionally, the mapping relationship between the reference signal and the beam is preset.

[0100] An embodiment of the present disclosure provides an information processing device, including a memory, a transceiver, and a processor;

[0101] The memory is used to store a computer program; the transceiver is used to send and receive data under the control of the processor; and the processor is used to read the computer program in the memory and perform the following operations:

[0102] Sending first information corresponding to the first AI model and / or the first AI function to the first network device;

[0103] The first information includes at least one of the following:

[0104] Beam codebook dimension information;

[0105] The mapping relationship between reference signals and beams;

[0106] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0107] Optionally, the beam codebook dimension information includes at least one of the following:

[0108] beam codebook dimension information corresponding to the first reference signal set;

[0109] Beam codebook dimension information corresponding to the second reference signal set.

[0110] Optionally, the mapping relationship between the reference signal and the beam includes at least one of the following:

[0111] The mapping relationship between reference signal index and beam index;

[0112] The mapping relationship between the order of reference signal arrangement and the order of beam arrangement;

[0113] The mapping relationship between the order of reference signals and beam indices;

[0114] The first indication information is used to indicate a numbering method of the beam index.

[0115] Optionally, the first indication information includes at least one of the following:

[0116] The beam starting angle in the horizontal dimension corresponding to the first beam index;

[0117] The beam starting angle in the vertical dimension corresponding to the first beam index;

[0118] The order in which the beam indices are numbered.

[0119] Optionally, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following:

[0120] The reference signals in the first reference signal set belong to the second reference signal set;

[0121] A QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0122] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0123] receiving a reference signal sent by a second network device;

[0124] measuring the reference signal to obtain a measurement result;

[0125] Model training is performed based on the measurement results to obtain a first AI model, and a correspondence between the first AI model and the first information is established, and / or a correspondence between a first AI function corresponding to the first AI model and the first information is established.

[0126] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0127] Receive first signaling sent by the second network device, wherein the first signaling carries at least one of the following information:

[0128] Beam codebook dimension information;

[0129] The mapping relationship between reference signals and beams;

[0130] A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0131] Optionally, when the first signaling does not include a spatial relationship between a reference signal in the first reference signal set and a reference signal in the second reference signal set, the processor is configured to read a computer program in the memory and perform the following operations:

[0132] A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set is determined according to the first signaling.

[0133] Optionally, the mapping relationship between the reference signal and the beam is preset.

[0134] The present disclosure provides a terminal-side device, including:

[0135] a sending unit, configured to send first information corresponding to the first AI model and / or the first AI function to the first network device;

[0136] The first information includes at least one of the following:

[0137] Beam codebook dimension information;

[0138] The mapping relationship between reference signals and beams;

[0139] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0140] An embodiment of the present disclosure provides an information processing device, including a memory, a transceiver, and a processor;

[0141] The memory is used to store a computer program; the transceiver is used to send and receive data under the control of the processor; and the processor is used to read the computer program in the memory and perform the following operations:

[0142] Receiving first information corresponding to a first AI model and / or a first AI function sent by a terminal-side device;

[0143] Sending, according to the first information, a reference signal corresponding to a first AI model and / or a first AI function, or not sending a reference signal corresponding to the first AI model and / or the first AI function;

[0144] The first information includes at least one of the following:

[0145] Beam codebook dimension information;

[0146] The mapping relationship between reference signals and beams;

[0147] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0148] Optionally, the beam codebook dimension information includes at least one of the following:

[0149] beam codebook dimension information corresponding to the first reference signal set;

[0150] Beam codebook dimension information corresponding to the second reference signal set.

[0151] Optionally, the mapping relationship between the reference signal and the beam includes at least one of the following:

[0152] The mapping relationship between reference signal index and beam index;

[0153] The mapping relationship between the order of reference signal arrangement and the order of beam arrangement;

[0154] The mapping relationship between the order of reference signals and beam indices;

[0155] The first indication information is used to indicate a numbering method of the beam index.

[0156] Optionally, the first indication information includes at least one of the following:

[0157] The beam starting angle in the horizontal dimension corresponding to the first beam index;

[0158] The beam starting angle in the vertical dimension corresponding to the first beam index;

[0159] The order in which the beam indices are numbered.

[0160] Optionally, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following:

[0161] The reference signals in the first reference signal set belong to the second reference signal set;

[0162] A QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0163] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0164] When determining, based on the first information, that configuration of a reference signal corresponding to the first AI model and / or the first AI function is supported, sending the reference signal corresponding to the first AI model and / or the first AI function;

[0165] or,

[0166] If it is determined according to the first information that configuration of the reference signal corresponding to the first AI model and / or the first AI function is not supported, the reference signal corresponding to the first AI model and / or the first AI function is not sent.

[0167] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0168] If the first condition is met, determining to support configuration of a reference signal corresponding to the first AI model and / or the first AI function;

[0169] or,

[0170] If any one of the first conditions is not met, determining that configuration of a reference signal corresponding to the first AI model and / or the first AI function is not supported;

[0171] The first condition includes at least one of the following:

[0172] Determining that the beam codebook dimension information is consistent with the beam codebook dimension information in the first information;

[0173] determining that a spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set in the first information is consistent;

[0174] Determine that the mapping relationship between the reference signal and the beam in the first information is consistent.

[0175] An embodiment of the present disclosure provides a network device, wherein the network device is a first network device, including:

[0176] A receiving unit, configured to receive first information corresponding to a first AI model and / or a first AI function sent by a terminal-side device;

[0177] a processing unit, configured to send a reference signal corresponding to a first AI model and / or a first AI function, or not send a reference signal corresponding to the first AI model and / or the first AI function, based on the first information;

[0178] The first information includes at least one of the following:

[0179] Beam codebook dimension information;

[0180] The mapping relationship between reference signals and beams;

[0181] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0182] An embodiment of the present disclosure provides an information processing device, including a memory, a transceiver, and a processor;

[0183] The memory is used to store a computer program; the transceiver is used to send and receive data under the control of the processor; and the processor is used to read the computer program in the memory and perform the following operations:

[0184] Sending a first signaling to the terminal side device; wherein the first signaling is used to establish a correspondence between the first AI model and the first information and / or a correspondence between the first AI function and the first information;

[0185] The first information includes at least one of the following:

[0186] Beam codebook dimension information;

[0187] The mapping relationship between reference signals and beams;

[0188] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0189] Optionally, the beam codebook dimension information includes at least one of the following:

[0190] beam codebook dimension information corresponding to the first reference signal set;

[0191] Beam codebook dimension information corresponding to the second reference signal set.

[0192] Optionally, the mapping relationship between the reference signal and the beam includes at least one of the following:

[0193] The mapping relationship between reference signal index and beam index;

[0194] The mapping relationship between the order of reference signal arrangement and the order of beam arrangement;

[0195] The mapping relationship between the order of reference signals and beam indices;

[0196] The first indication information is used to indicate a numbering method of the beam index.

[0197] Optionally, the first indication information includes at least one of the following:

[0198] The beam starting angle in the horizontal dimension corresponding to the first beam index;

[0199] The beam starting angle in the vertical dimension corresponding to the first beam index;

[0200] The order in which the beam indices are numbered.

[0201] Optionally, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following:

[0202] The reference signals in the first reference signal set belong to the second reference signal set;

[0203] A QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0204] Optionally, the first signaling carries at least one of the following information:

[0205] Beam codebook dimension information;

[0206] The mapping relationship between reference signals and beams;

[0207] A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0208] Optionally, the mapping relationship between the reference signal and the beam is preset.

[0209] An embodiment of the present disclosure provides a network device, wherein the network device is a second network device, including:

[0210] A sending unit, configured to send a first signaling to a terminal-side device; wherein the first signaling is used to establish a correspondence between the first AI model and the first information and / or a correspondence between the first AI function and the first information;

[0211] The first information includes at least one of the following:

[0212] Beam codebook dimension information;

[0213] The mapping relationship between reference signals and beams;

[0214] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0215] An embodiment of the present disclosure provides a processor-readable storage medium, wherein the processor-readable storage medium stores a computer program, and the computer program is used to enable the processor to execute the steps of the information processing method described above.

[0216] The beneficial effects of the above technical solution disclosed herein are:

[0217] In an embodiment of the present disclosure, first information corresponding to a first AI model and / or a first AI function is sent to a first network device through a terminal side device. The first information includes at least one of beam codebook dimension information, a mapping relationship between reference signals and beams, and a spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set. In this way, the network side can determine whether the input and / or output corresponding to the first AI model and / or first AI function are consistent based on the first information, while avoiding exposure of proprietary information such as the angle and shape of the transmitted beam on the network side. In this way, beam management is performed based on the consistency judgment result, thereby ensuring the performance of beam management. BRIEF DESCRIPTION OF THE DRAWINGS

[0218] FIG1 is a flowchart showing an information processing method of a terminal side device according to an embodiment of the present disclosure;

[0219] FIG2 is a schematic diagram showing a numbering method of beam indexes according to an embodiment of the present disclosure;

[0220] FIG3 shows one of the flow charts of interaction between a UE-side device and a network device according to an embodiment of the present disclosure;

[0221] FIG4 is a flowchart showing an information processing method on the first network device side according to an embodiment of the present disclosure;

[0222] FIG5 is a flowchart showing an information processing method on the second network device side according to an embodiment of the present disclosure;

[0223] FIG6 shows a second flow chart of interaction between a UE-side device and a network device according to an embodiment of the present disclosure;

[0224] FIG7 is a schematic diagram showing a correspondence between the AI ​​or ML model #1 and the first information according to an embodiment of the present disclosure;

[0225] FIG8 is a second schematic diagram showing the correspondence between the AI ​​or ML model #1 and the first information according to an embodiment of the present disclosure;

[0226] FIG9 is a block diagram showing an information processing apparatus of a terminal side device according to an embodiment of the present disclosure;

[0227] FIG10 is a block diagram of a terminal side device according to an embodiment of the present disclosure;

[0228] FIG11 is a block diagram showing an information processing apparatus on a network device side according to an embodiment of the present disclosure;

[0229] FIG12 shows a block diagram of a first network device according to an embodiment of the present disclosure;

[0230] FIG13 shows a block diagram of a second network device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0231] To make the technical problems, technical solutions, and advantages to be solved by the present disclosure more clear, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments. In the following description, specific details such as specific configurations and components are provided only to help fully understand the embodiments of the present disclosure. Therefore, it should be clear to those skilled in the art that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. In addition, for the sake of clarity and brevity, descriptions of known functions and configurations have been omitted.

[0232] It should be understood that references throughout this specification to "one embodiment" or "an embodiment" mean that a particular feature, structure, or characteristic associated with the embodiment is included in at least one embodiment of the present disclosure. Therefore, the appearances of "in one embodiment" or "in an embodiment" throughout this specification do not necessarily refer to the same embodiment. Furthermore, these particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0233] In the various embodiments of the present disclosure, it should be understood that the size of the serial numbers of the following processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.

[0234] Additionally, the terms "system" and "network" are often used interchangeably herein.

[0235] The technical solution provided by the embodiment of the present disclosure can be applied to various systems, such as the fifth generation (5 th Generation, 5G) system, 6th generation (6 thThe 5G network is a 5G network that is used for cellular communications and is a type of 6G network. The 5G network is a 5G network that is used for cellular communications and is a type of 6G network that is used for cellular communications. The 5G network is a 5G network that is used for cellular communications and is a type of 6G network that is used for cellular communications. The 5G network is a 5G network that is used for cellular communications and is a type of 6G network that is used for cellular communications. The 5G network is a 5G network that is used for cellular communications and is a type of 6G network that is used for cellular communications.

[0236] Network devices and terminal devices can each use one or more antennas for Multiple Input Multiple Output (MIMO) transmission. MIMO transmission can be single-user MIMO (SU-MIMO) or multi-user MIMO (MU-MIMO). Depending on the configuration and number of antenna combinations, MIMO transmission can be two-dimensional MIMO (2D-MIMO), three-dimensional MIMO (3D-MIMO), full-dimensional MIMO (FD-MIMO), or massive MIMO. It can also use diversity transmission, precoding, or beamforming.

[0237] In the embodiments of the present disclosure, the term "and / or" describes the association relationship between associated objects, indicating that three relationships can exist. 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 are in an "or" relationship.

[0238] In the embodiments of the present disclosure, the term "plurality" refers to two or more than two, and other quantifiers are similar thereto.

[0239] The following will be combined with the accompanying drawings in the embodiments of the present disclosure to clearly and completely describe the technical solutions in the embodiments of the present disclosure. Obviously, the embodiments described are only part of the embodiments of the present disclosure and not all of the embodiments. Based on the embodiments of the present disclosure, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present disclosure.

[0240] The following is an introduction to the relevant technologies involved in this disclosure:

[0241] 1. AI-based beam management

[0242] There are two sub-use cases for AI beam management:

[0243] BM-case1: Spatial beam prediction, which predicts the top-K beams (or beam pairs) in Set A based on Set B measured at a certain moment;

[0244] BM-case2: Time-domain beam prediction, that is, predicting the top-K beams (or beam pairs) of Set A at the next N' moments based on Set B measured at N historical moments.

[0245] Here, Set B represents the set of input beams corresponding to the AI ​​model or function, and Set A represents the set of output beams corresponding to the AI ​​model or function. Top-K beams (or beam pairs) represent the optimal beams (or beam pairs). For BM-case 1, Set B can be a subset of Set A, or different from Set A (for example, Set B is a wide beam and Set A is a narrow beam). For BM-case 2, in addition to the above two cases, Set B can also be the same as Set A.

[0246] Life Cycle Management (LCM) of AI or ML models refers to the complete process from the generation to the end of an AI or ML model, including data collection, model training, model update, recognition, reasoning, monitoring, activation or deactivation, switching or rollback, etc.

[0247] LCM is divided into two types: LCM based on the AI ​​or ML model identifier (ID) and LCM based on the AI ​​or ML function. Among them, LCM based on the AI ​​or ML model ID refers to the indication and management of the AI ​​or ML model on the UE side through the model ID; LCM based on the AI ​​or ML function refers to the management of the AI ​​or ML function on the UE side by the network side, such as activation or deactivation of the function.

[0248] 2. Beam indication

[0249] In the beam indication process, beam indication can be completed through transmission configuration indicator (TCI) status information indication or QCL information indication. After the base station selects the beam to be transmitted, it indicates the QCL information of the channel and / or reference signal to the terminal through the TCI status information. Among them, the quasi-co-location information of type D (QCL-Type D) is a spatial reception parameter indication. For example: the source reference signal (reference signal) of QCL-Type D of reference signal 1 is reference signal 2, which means that the spatial reception parameters of reference signal 1 and reference signal 2 are the same.

[0250] As data-driven algorithms, AI or ML algorithms have generalization problems, that is, the AI ​​or ML model trained in scenario 1 is difficult to use 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 stage, or the input and / or output beam arrangement of the model training is inconsistent with the input and / or output beam arrangement of the model inference, the performance of the model inference may be poor. If the AI ​​model is deployed on the network side, the network side can ensure the consistency of the transmit beam codebook corresponding to the reference signal for model training and the transmit beam codebook corresponding to the model inference stage, or the consistency of the input and / or output beam arrangement of the model training and the input and / or output beam arrangement of the model inference. 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 codebook in the training stage and the beam codebook in the inference stage, as well as the input and / or output beam arrangement of the model training and the input and / or output beam arrangement of the model inference are consistent.

[0251] If the input and / or output of model training (i.e., Set B and / or Set A) are 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. The inconsistency here may be inconsistent beam codebooks, or inconsistent input and / or output beam arrangements. If the beam codebooks of base station 1, which sends the reference signal for model training, and base station 2, which sends the reference signal for model inference, are inconsistent, the AI ​​model or function reported by the UE may be difficult to use after the UE accesses base station 2. If the beam codebooks of base station 1 and base station 2 are consistent, it is also necessary to ensure that the input and / or output arrangement order of the AI ​​model is consistent in order to use the AI ​​model correctly.

[0252] Considering that the beam codebook information such as the angle and shape of the transmit beam on the network side is proprietary information on the network side, it cannot be informed to the UE. 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 stage, or the input and / or output beam arrangement of the model training is inconsistent with the input and / or output beam arrangement of the model inference, the AI ​​model may be unavailable. However, there is currently no specific solution to ensure the consistency of the beam codebook in the training stage and the beam codebook in the inference stage between the network side and the UE side, as well as the consistency of the input and / or output beam arrangement of the model training and the input and / or output beam arrangement of the model inference.

[0253] The embodiments of the present disclosure provide an information processing method, apparatus, terminal-side device, and network device for determining the consistency between the input and / or output of an AI model or function in a training phase and the input and / or output of an AI model or function in an inference phase, thereby ensuring the performance of beam management based on AI or ML technology. The method and apparatus (or terminal-side device or network device) are based on the same application concept. Since the principles of problem solving by the method and apparatus (or terminal-side device or network device) are similar, the implementation of the method and apparatus (or terminal-side device or network device) can refer to each other, and repeated parts will not be repeated.

[0254] As shown in FIG1 , an embodiment of the present disclosure provides an information processing method, comprising the following steps:

[0255] Step 11: The terminal side device sends first information corresponding to the first AI model and / or the first AI function to the first network device.

[0256] The first information includes at least one of the following:

[0257] Beam codebook dimension information;

[0258] The mapping relationship between reference signals and beams;

[0259] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0260] Optionally, the terminal side device includes but is not limited to at least one of the following: a terminal (User Equipment, UE), a UE side server, etc. The first AI model and / or the first AI function may be an existing AI model or function of the terminal side device. For example, the AI ​​model corresponding to the first AI model and / or the first AI function may be obtained by training the server on the UE side, or may also be obtained by training the UE, etc., but the embodiments of the present disclosure are not limited thereto.

[0261] Optionally, the first AI model is obtained based on artificial intelligence or machine learning, and the first AI model may also be referred to as a first ML model. The first AI function may correspond to one or more AI models, and the functions of the one or more AI models are the same, that is, the one or more AI models all support the implementation of the first AI function. Accordingly, the first AI function may also be referred to as a first ML function, that is, the first ML function may correspond to one or more ML models. Optionally, the UE may support activation or deactivation of one or more AI models corresponding to the AI ​​function, that is, the switching of the AI ​​model corresponding to an AI function may be transparent to the network side.

[0262] Optionally, the first reference signal set being related to input means that the first reference signal set is related to input of a first AI model and / or is related to input of an AI model corresponding to the first AI function. The second reference signal set being related to output means that the second reference signal set is related to output of the first AI model and / or is related to output of the AI ​​model corresponding to the first AI function.

[0263] In this embodiment, first information corresponding to the first AI model and / or the first AI function is sent to the first network device through the terminal side device. The first information includes at least one of beam codebook dimension information, a mapping relationship between reference signals and beams, and a spatial relationship between reference signals corresponding to the first reference signal set and reference signals corresponding to the second reference signal set. In this way, the network side can determine whether the input and / or output corresponding to the first AI model and / or the first AI function are consistent based on the first information, while avoiding exposure of proprietary information such as the angle and shape of the transmitted beam on the network side. In this way, beam management is performed based on the consistency judgment result, thereby ensuring the performance of beam management.

[0264] Optionally, the beam codebook dimension information includes at least one of the following:

[0265] beam codebook dimension information corresponding to the first reference signal set;

[0266] Beam codebook dimension information corresponding to the second reference signal set.

[0267] For example, the beam codebook dimension information includes: the number of beams in the horizontal dimension, and / or the number of beams in the vertical dimension. For example, the beam codebook dimension information corresponding to the first reference signal set includes: the number of beams in the horizontal dimension corresponding to the first reference signal set, and / or the number of beams in the vertical dimension corresponding to the first reference signal set. For example, the beam codebook dimension information corresponding to the second reference signal set includes: the number of beams in the horizontal dimension corresponding to the second reference signal set, and / or the number of beams in the vertical dimension corresponding to the second reference signal set.

[0268] Optionally, the mapping relationship between the reference signal and the beam includes at least one of the following:

[0269] The mapping relationship between reference signal index and beam index;

[0270] The mapping relationship between the order of reference signal arrangement and the order of beam arrangement;

[0271] The mapping relationship between the order of reference signals and beam indices;

[0272] The first indication information is used to indicate a numbering method of the beam index.

[0273] For example, consider the reference signal set [reference signal 11, reference signal 24, ..., reference signal 36]. This reference signal set includes 32 reference signal indices, corresponding to 32 beams. For example, reference signal index 11 corresponds to beam index 1, reference signal index 24 corresponds to beam index 2, and so on. This represents the mapping relationship between reference signal indices and beam indices.

[0274] For example, a reference signal set includes multiple reference signals, where the first reference signal corresponds to the first beam, the second reference signal corresponds to the second beam, and so on. The kth reference signal corresponds to the kth beam, and so on. This represents a mapping relationship between the order of reference signals and the order of beams.

[0275] For example, a reference signal set includes multiple reference signals, where the first reference signal corresponds to beam index 1, the second reference signal corresponds to beam index 2, and so on. The kth reference signal corresponds to beam index k, and so on, indicating a mapping relationship between the arrangement order of the reference signals and the beam indices.

[0276] Optionally, the first indication information includes at least one of the following:

[0277] The beam starting angle in the horizontal dimension corresponding to the first beam index;

[0278] The beam starting angle in the vertical dimension corresponding to the first beam index;

[0279] The order in which the beam indices are numbered.

[0280] For example, the numbering sequence of the beam indexes may include: a horizontal numbering sequence first and a vertical numbering sequence second, or a vertical numbering sequence first and a horizontal numbering sequence second.

[0281] For example, the horizontal beam starting angle is -60, the vertical beam starting angle is 90, and the numbering order is vertical first and then horizontal. The numbering method of the beam index can be expressed as: the horizontal beam starts from -60 degrees, the vertical beam starts from 90 degrees, and the numbering is vertical first and then horizontal. That is, the beam index is determined as shown in Figure 2.

[0282] Optionally, the first indication information may include at least one of a first bit, a second bit and a third bit, wherein the first bit is used to indicate the beam starting angle in the horizontal dimension, the second bit is used to indicate the beam starting angle in the vertical dimension, and the third bit is used to indicate the numbering order of the beam index (for example, the third bit is "1" to indicate the numbering order of horizontal first and then vertical, and the third bit is "0" to indicate the numbering order of vertical first and then horizontal, or the third bit can be "1" to indicate the numbering order of vertical first and then horizontal, and the third bit is "0" to indicate the numbering order of horizontal first and then vertical, etc.).

[0283] Optionally, the first indication information may also be an index value, such as configuration information in which the network side pre-configures or indicates the numbering method of one or more beam indexes, or configuration information in which the numbering method of one or more beam indexes is agreed upon based on a protocol, and different index values ​​correspond to different configuration information (for example, the configuration information includes: the beam starting angle in the horizontal dimension, the beam starting angle in the vertical dimension, and at least one of the numbering order of the beam index). In this case, the index value indicated by N bits can indicate the numbering method of the corresponding beam index, etc. The embodiments of the present disclosure are not limited to this.

[0284] Optionally, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following:

[0285] The reference signals in the first reference signal set belong to the second reference signal set;

[0286] A quasi-co-site QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0287] For example, the reference signals in the first reference signal set belong to the second reference signal set. This can also be understood as the first reference signal set being a subset of the second reference signal set, or as some or all of the reference signals in the second reference signal set constituting the first reference signal set. Taking the case where the network side configures the second reference signal set as [reference signal 11, reference signal 24, …, reference signal 36], which includes 32 reference signals corresponding to 32 beams, and the case where the first reference signal set is configured using a 32-bit bitmap as [10000100001000011000010000100001] as an example, if the i-th bit in the bitmap is "1", it indicates that the i-th reference signal in the second reference signal set belongs to the first reference signal set, and if the i-th bit is "0", it indicates that the i-th reference signal in the second reference signal set does not belong to the first reference signal set. That is, by indicating which reference signal or signals in the second reference signal set belong to the first reference signal set (i.e., the reference signals in the first reference signal set belong to the second reference signal set), the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set is implicitly indicated.

[0288] For example, when the reference signals in the first reference signal set are different from the reference signals in the second reference signal set, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set can be explicitly indicated by the QCL relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set. For example, if the QCL relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set is: the source reference signal for the QCL of reference signal 1 in the second reference signal set is reference signal 2 in the first reference signal set, then reference signal 1 and reference signal 2 have the same spatial reception parameters.

[0289] Optionally, before the terminal side device sends the first information corresponding to the first AI model and / or the first AI function to the first network device, the method further includes:

[0290] The terminal side device receives a reference signal sent by the second network device;

[0291] The terminal side device measures the reference signal to obtain a measurement result;

[0292] The terminal side device performs model training according to the measurement result to obtain a first AI model, and establishes a corresponding relationship between the first AI model and the first information, and / or establishes a corresponding relationship between the first AI function corresponding to the first AI model and the first information.

[0293] Optionally, the reference signal sent by the second network device is used for training the AI ​​model by the terminal side device. For example, the reference signal sent by the second network device includes: a first reference signal set related to the input and a second reference signal set related to the output; wherein the first reference signal set and the second reference signal set respectively include one or more reference signals.

[0294] For example, before sending the reference signal, the second network device may also send reference signal configuration information to the UE to configure the first reference signal set and the second reference signal set; or the second network device may also activate the reference signal configuration information through signaling to enable the UE to know the first reference signal set and the second reference signal set, etc. The embodiments of the present disclosure are not limited to this.

[0295] It should be noted that the first network device and the second network device may be the same or different.

[0296] Optionally, before the terminal side device receives the reference signal sent by the second network device, the method further includes:

[0297] The terminal side device receives a first signaling sent by the second network device, wherein the first signaling carries at least one of the following information:

[0298] Beam codebook dimension information;

[0299] The mapping relationship between reference signals and beams;

[0300] A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0301] For example: When the second network device sends a reference signal for the terminal side device to train the first AI model, the second network device may also send a first signaling to the terminal, so that the terminal side device can establish a correspondence between the first AI model and the first information, and / or establish a correspondence between the first AI function corresponding to the first AI model and the first information.

[0302] For example, the first signaling may be signaling for configuring or activating configuration information of a reference signal. That is, when the second network device may use the first signaling to configure or activate the configuration information of the reference signal, the first signaling may carry at least one of beam codebook dimension information, a mapping relationship between reference signals and beams, and a spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set. Alternatively, the first signaling may be signaling independent of the second signaling, and the second signaling may be used to configure or activate the configuration information of the reference signal, etc. The embodiments of the present disclosure are not limited to this.

[0303] It should be noted that for the terminal side device, the beam codebook dimension information used to establish the corresponding relationship, the mapping relationship between the reference signal and the beam, the spatial relationship between the reference signal in the first reference signal set and the reference signal in the second reference signal set, and other information can be obtained through interaction with the network side (for example, through the first signaling) or by other means.

[0304] For example, when the first signaling does not include a spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set, the method further includes:

[0305] The terminal side device determines, based on the first signaling, a spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0306] For example, the mapping relationship between the reference signal and the beam is preset (eg, based on a protocol agreement, etc.).

[0307] Optionally, the reference signal includes: a channel state information reference signal (CSI-RS) and / or a synchronization signal block (SSB).

[0308] As shown in Figure 3, a flowchart of the interaction between the UE-side device and the network device is given. It should be noted that, taking the UE-side server for model training and model storage as an example, the communication between the UE and the UE-side server belongs to the internal behavior of the UE-side device, that is, the communication process between the UE and the UE-side server is not discussed, and the UE and the UE-side server are collectively referred to as UE-side devices. The specific process includes:

[0309] Step 1: Base station 1 configures and sends a reference signal to UE1 and UE2 for UE-side devices (such as UE-side servers) to collect data and perform model training.

[0310] Base station 1 also informs UE1 and UE2 of the dimensional information of the beam codebook corresponding to the reference signal it sends (such as the number of vertical beams and the number of horizontal beams) and the mapping relationship between the reference signal and the beam. Optionally, the mapping relationship between the reference signal and the beam can also be predetermined by base station 1 and UE1 and UE2 based on a protocol, but the embodiments of the present disclosure are not limited to this.

[0311] Step 2: The UE device trains the model and establishes a correspondence between the AI ​​model or AI function and at least one of the following information:

[0312] Beam codebook dimension information; for example, beam codebook dimension information of a first reference signal set related to an input, and / or beam codebook dimension information of a second reference signal set related to an output.

[0313] a spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set;

[0314] The mapping relationship between reference signals and beams;

[0315] The reference signals in the first reference signal set can also be referred to as reference signals corresponding to the input beam set (Set B), and the reference signals in the second reference signal set can be referred to as reference signals corresponding to the output beam set (Set A). The spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set can be configured by base station 1 for the UE-side device, or determined by the UE-side device based on the reference signal configuration information.

[0316] Optionally, if Set B is a subset of Set A, or base station 1 and the UE-side device determine that the reference signals in the first reference signal set belong to the second reference signal set based on a consistent understanding, that is, base station 1 and the UE-side device have a consistent understanding: which reference signal or reference signals in the second reference signal set the reference signal in the first reference signal set is, which indicates determining the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set. Alternatively, if Set B and Set A are different, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set can be indicated by the QCL relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set.

[0317] Step 3: UE3 accesses base station 2, performs AI model identification or AI function identification, or reports the AI ​​model or AI function trained in step 2, and reports the basic information of the AI ​​model corresponding to the AI ​​model or AI function, including: beam codebook dimension information, and the spatial relationship between the reference signal in the first reference signal set and the reference signal in the second reference signal set.

[0318] Optionally, if the mapping relationship between the reference signal and the beam is not predetermined between UE3 and base station 2, UE3 may also report the mapping relationship between the reference signal and the beam to base station 2 in step 3;

[0319] Step 4: Base station 2 determines whether it supports sending a reference signal that matches the beam codebook dimension information reported by UE3 and the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set. If so, it determines that the reference signal can be sent; otherwise, it does not send the reference signal.

[0320] Step 5: If base station 2 determines in step 4 that a reference signal can be sent, base station 2 configures and sends a reference signal corresponding to the AI ​​model or AI function according to the mapping relationship between the reference signal and the beam; otherwise, the reference signal corresponding to the AI ​​model or AI function is not sent.

[0321] Step 6: The UE-side device receives the reference signal sent by base station 2 for model reasoning (such as determining the optimal beam) or performance testing.

[0322] The terminal side device involved in the embodiments of the present disclosure may be a terminal device or a terminal side server, such as a terminal device that provides voice and / or data connectivity to a user, a handheld device with wireless connection function, or other processing devices connected to a wireless modem. In different systems, the name of the terminal device may also be different. For example, in a 5G system, the terminal device may be called a user equipment (UE). A wireless terminal device can communicate with one or more core networks (CN) via a radio access network (RAN). The wireless terminal device may be a mobile terminal device, such as a mobile phone (or "cellular" phone) and a computer with a mobile terminal device. For example, it may be a portable, pocket-sized, handheld, computer-built-in or vehicle-mounted mobile device that exchanges language and / or data with a radio access network. For example, a personal communication service (PCS) phone, a cordless phone, a session initiation protocol (SIP) phone, a wireless local loop (WLL) station, a personal digital assistant (PDA), and other devices. The wireless terminal device may also be referred to as a system, a subscriber unit, a subscriber station, a mobile station, a mobile station, a remote station, an access point, a remote terminal device, an access terminal device, a user terminal device, a user agent, or a user device, but is not limited in the embodiments of the present disclosure.

[0323] As shown in FIG4 , the embodiment of the present disclosure provides an information processing method, comprising the following steps:

[0324] Step 41: The first network device receives first information corresponding to the first AI model and / or the first AI function sent by the terminal side device.

[0325] Step 42: The first network device sends a reference signal corresponding to the first AI model and / or the first AI function based on the first information, or does not send a reference signal corresponding to the first AI model and / or the first AI function.

[0326] The first information includes at least one of the following:

[0327] Beam codebook dimension information;

[0328] The mapping relationship between reference signals and beams;

[0329] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0330] Optionally, the beam codebook dimension information includes at least one of the following:

[0331] beam codebook dimension information corresponding to the first reference signal set;

[0332] Beam codebook dimension information corresponding to the second reference signal set.

[0333] Optionally, the mapping relationship between the reference signal and the beam includes at least one of the following:

[0334] The mapping relationship between reference signal index and beam index;

[0335] The mapping relationship between the order of reference signal arrangement and the order of beam arrangement;

[0336] The mapping relationship between the order of reference signals and beam indices;

[0337] The first indication information is used to indicate a numbering method of the beam index.

[0338] Optionally, the first indication information includes at least one of the following:

[0339] The beam starting angle in the horizontal dimension corresponding to the first beam index;

[0340] The beam starting angle in the vertical dimension corresponding to the first beam index;

[0341] The order in which the beam indices are numbered.

[0342] Optionally, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following:

[0343] The reference signals in the first reference signal set belong to the second reference signal set;

[0344] A QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0345] Optionally, the first network device sending, according to the first information, a reference signal corresponding to the first AI model and / or the first AI function, or not sending a reference signal corresponding to the first AI model and / or the first AI function, includes:

[0346] When the first network device determines, according to the first information, that configuration of a reference signal corresponding to the first AI model and / or the first AI function is supported, sending the reference signal corresponding to the first AI model and / or the first AI function;

[0347] or,

[0348] If the first network device determines, according to the first information, that configuration of a reference signal corresponding to the first AI model and / or the first AI function is not supported, the first network device does not send the reference signal corresponding to the first AI model and / or the first AI function.

[0349] For example, when the first network device determines, based on the first information, that it supports configuring a reference signal corresponding to the first AI model and / or the first AI function, it may configure or activate the configuration information of the reference signal according to the mapping relationship between the reference signal and the beam in the first information, and send the reference signal corresponding to the first AI model and / or the first AI function.

[0350] For another example: When the first information does not include a mapping relationship between a reference signal and a beam, if the first network device determines based on the first information that it supports configuring a reference signal corresponding to a first AI model and / or a first AI function, it can configure or activate the configuration information of the reference signal and send a reference signal corresponding to the first AI model and / or the first AI function according to the mapping relationship between the reference signal and the beam predetermined with the terminal side device.

[0351] Optionally, the method further includes:

[0352] When the first condition is met, the network device determines that it supports configuring a reference signal corresponding to the first AI model and / or the first AI function;

[0353] or,

[0354] If any one of the first conditions is not met, the network device determines that configuration of a reference signal corresponding to the first AI model and / or the first AI function is not supported;

[0355] The first condition includes at least one of the following:

[0356] Determining, by the first network device, that the beam codebook dimension information is consistent with the beam codebook dimension information in the first information;

[0357] Determining, by the first network device, that a spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set in the first information is consistent;

[0358] The first network device determines that the mapping relationship between the reference signal and the beam in the first information is consistent.

[0359] For example: the beam codebook dimension information in the first information is: 8 beams in the horizontal dimension and 4 beams in the vertical dimension, and the beam codebook dimension information supported by the first network device for sending beams includes 8 beams in the horizontal dimension and 4 beams in the vertical dimension, then it is determined to be consistent with the beam codebook dimension information in the first information.

[0360] For example: the first information indicates which reference signal or signals in the second reference signal set constitute the first reference signal set, and the first network device supports configuring the reference signals in the first reference signal set to belong to the second reference signal set, then it is determined that the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set in the first information is consistent.

[0361] For example: the mapping relationship between the reference signal and the beam in the first information is: horizontal beam numbering starting angle: -60 degrees, vertical beam numbering starting angle: 90 degrees, beam numbering is performed vertically first and then horizontally, and the kth reference signal in the second reference signal set corresponds to the kth beam, and the first network device supports beam numbering according to the horizontal beam numbering starting angle: -60 degrees, vertical beam numbering starting angle: 90 degrees, vertically first and then horizontally, and configures the reference signal according to the kth reference signal in the second reference signal set corresponding to the kth beam, then it is determined that the mapping relationship between the reference signal and the beam in the first information is consistent.

[0362] It should be noted that the information processing method of the first network device in the embodiment of the present disclosure and the information processing method of the above-mentioned terminal side device are based on the same inventive concept. The embodiments of the two can refer to each other, and the repeated parts will not be repeated.

[0363] As shown in FIG5 , an embodiment of the present disclosure provides an information processing method, comprising the following steps:

[0364] Step 51: The second network device sends a first signaling to the terminal side device; wherein the first signaling is used to establish a correspondence between the first AI model and the first information and / or a correspondence between the first AI function and the first information.

[0365] The first information includes at least one of the following:

[0366] Beam codebook dimension information;

[0367] The mapping relationship between reference signals and beams;

[0368] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0369] Optionally, the beam codebook dimension information includes at least one of the following:

[0370] beam codebook dimension information corresponding to the first reference signal set;

[0371] Beam codebook dimension information corresponding to the second reference signal set.

[0372] Optionally, the mapping relationship between the reference signal and the beam includes at least one of the following:

[0373] The mapping relationship between reference signal index and beam index;

[0374] The mapping relationship between the order of reference signal arrangement and the order of beam arrangement;

[0375] The mapping relationship between the order of reference signals and beam indices;

[0376] The first indication information is used to indicate a numbering method of the beam index.

[0377] Optionally, the first indication information includes at least one of the following:

[0378] The beam starting angle in the horizontal dimension corresponding to the first beam index;

[0379] The beam starting angle in the vertical dimension corresponding to the first beam index;

[0380] The order in which the beam indices are numbered.

[0381] Optionally, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following:

[0382] The reference signals in the first reference signal set belong to the second reference signal set;

[0383] A quasi-co-site QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0384] Optionally, the first signaling carries at least one of the following information:

[0385] Beam codebook dimension information;

[0386] The mapping relationship between reference signals and beams;

[0387] A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0388] Optionally, the mapping relationship between the reference signal and the beam is preset.

[0389] It should be noted that the information processing method of the second network device in the embodiment of the present disclosure and the information processing method of the above-mentioned terminal side device are based on the same inventive concept. The two embodiments can refer to each other and the repeated parts will not be repeated.

[0390] The network device involved in the embodiments of the present disclosure may be a base station, which may include multiple cells providing services to terminals. Depending on the specific application scenario, the base station may also be called an access point, or may be a device in an access network that communicates with a wireless terminal device through one or more sectors on an air interface, or may be called another name. The network device may be used to interchange received air frames with Internet Protocol (IP) packets, acting as a router between the wireless terminal device and the rest of the access network, wherein the rest of the access network may include an Internet Protocol (IP) communication network. The network device may also coordinate the attribute management of the air interface. For example, the network device involved in the embodiments of the present disclosure may be a base transceiver station (BTS) in the Global System for Mobile communications (GSM) or code division multiple access (CDMA), a network device (NodeB) in wide-band code division multiple access (WCDMA), an evolutionary Node B (eNB or e-NodeB) in the long term evolution (LTE) system, a 5G base station (gNB) in the 5G network architecture (next generation system), a home evolved Node B (HeNB), a relay node, a femto, a pico, etc., or a 6G base station, which is not limited in the embodiments of the present disclosure. In some network structures, the network device may include a centralized unit (CU) node and a distributed unit (DU) node, and the centralized unit and the distributed unit may also be geographically separated.

[0391] The following describes the information processing method provided by the embodiments of the present disclosure in conjunction with specific embodiments:

[0392] Example 1: The UE-side device deploys an AI or ML model for spatial beam prediction, and the input beam set Set B is a subset of the output beam set Set A. That is, the reference signals in the first reference signal set related to the input belong to the second reference signal set related to the output. As shown in Figure 6, the specific process is as follows:

[0393] Step 1: The UE-side device receives the reference signal sent by base station 1 for model training.

[0394] Taking the beam codebook dimension corresponding to Set A (i.e., the second reference signal set) of base station 1 as an example, which is 8 beams in the horizontal dimension and 4 beams in the vertical dimension, for a total of 32 beams, base station 1 configures the following reference signals for the UE-side device:

[0395] Reference signal set 1 (corresponding to Set A beam set, i.e., the second reference signal set) = [CSI-RS11, CSI-RS24, ..., CSI-RS36];

[0396] Reference signal set 2 (corresponding to the Set B beam set, i.e., the first reference signal set) bit map = [10000100001000011000010000100001].

[0397] Reference signal set 1 has 32 CSI-RS indices, corresponding to 32 Set A beams. Reference signal set 2 uses a 32-bit bitmap. A 1 in the i-th bit indicates that the beam corresponding to the i-th reference signal in reference signal set 1 is a beam in Set B (i.e., the i-th reference signal in reference signal set 1 belongs to the first reference signal set). A 0 in the i-th bit indicates that the beam corresponding to the i-th reference signal in reference signal set 1 is not a beam in Set B (i.e., the i-th reference signal in reference signal set 1 does not belong to the first reference signal set).

[0398] Base station 1 and the UE-side device predefine the following mapping relationship between reference signals and beams:

[0399] a) The mapping relationship between the reference signals in reference signal set 1 and the 32 beams of base station 1 is: the kth reference signal corresponds to the kth beam;

[0400] b) The beam index is numbered as follows: the horizontal beam starts at -60 degrees, and the vertical beam starts at 90 degrees, and is numbered vertically first and then horizontally, as shown in Figure 5 (the circles in Figure 5 represent beams, and the numbers 1, 2, ... 32 represent the corresponding beam indices).

[0401] Step 2: The UE-side device trains the AI ​​or ML model #1 based on the reference signal received in step 1, and establishes a correspondence between the AI ​​or ML model #1 and the following first information, as shown in FIG10 :

[0402] Beam codebook dimensions of Set A and / or Set B (i.e., the beam codebook dimensions corresponding to the first reference signal set and / or the beam codebook dimensions corresponding to the second reference signal set): 8 beams in the horizontal dimension and 4 beams in the vertical dimension;

[0403] The spatial relationship between the reference signals corresponding to Set B and the reference signals corresponding to Set A (i.e., the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set): Set B is a subset of Set A (e.g., the reference signals in the first reference signal set belong to the second reference signal set);

[0404] The mapping relationship between reference signals and beams is as follows: the kth reference signal corresponds to the kth beam; the horizontal beam numbering starting angle is -60 degrees; the vertical beam numbering starting angle is 90 degrees; the numbering order is vertical first, then horizontal.

[0405] Among them, Set B is a subset of Set A (for example, the reference signals in the first reference signal set belong to the second reference signal set), that is, the bit map indicates which reference signal or signals corresponding to Set A (that is, in the second reference signal) constitute the reference signal set corresponding to Set B (that is, the second reference signal set indication), that is, the spatial relationship between the reference signals corresponding to Set B and the reference signals corresponding to Set A (that is, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set) is implicitly indicated.

[0406] Step 3: The UE-side device accesses base station 2 and reports basic information of AI or ML model #1, including AI or ML model #1 and the correspondence between AI or ML model #1 established in step 2 and the above information;

[0407] Step 4: Base station 2 receives the basic information reported by the UE. If the beam codebook dimensions of base station 2 and base station 1 are the same, base station 2 determines that a reference signal matching AI or ML model #1 can be configured.

[0408] Step 5: Based on the mapping relationship between reference signals and beams, the base station determines the index numbers of the 32 transmit beams, starting at -60 degrees for the horizontal beam numbering and 90 degrees for the vertical beam numbering, first vertically and then horizontally, and configures the following reference signals:

[0409] Reference signal set 1 (corresponding to Set A beam set, i.e., the second reference signal set) = [CSI-RS19, CSI-RS36, ..., CSI-RS9];

[0410] Reference signal set 2 (corresponding to the Set B beam set, i.e., the first reference signal set) bit map = [10000100001000011000010000100001].

[0411] In the above reference signal set 1, the kth reference signal corresponds to the kth beam.

[0412] Example 2: The UE-side device deploys an AI or ML model for spatial beam prediction, and the input beam set Set B is different from the output beam set Set A. For example, Set B is a wide beam and Set A is a narrow beam. Similar to the process in Example 1, please refer to Figure 6. The specific process is as follows:

[0413] Step 1: The UE-side device receives the reference signal sent by base station 1 for model training.

[0414] For example, the beam codebook dimension corresponding to Set A (i.e., the second reference signal set) of base station 1 is 8 beams in the horizontal dimension and 4 beams in the vertical dimension, for a total of 32 beams; the beam codebook dimension corresponding to Set B (i.e., the first reference signal set) is 4 beams in the horizontal dimension and 2 beams in the vertical dimension, for a total of 8 beams. Base station 1 configures the following reference signals for the UE-side device:

[0415] Reference signal set 1 (corresponding to Set A beam set, i.e., the second reference signal set) = [CSI-RS11, CSI-RS24, ..., CSI-RS36];

[0416] Reference signal set 2 (corresponding to Set B beam set, ie, the first reference signal set) = [SSB1, SSB2, ..., SSB8].

[0417] Reference signal set 1 has 32 CSI-RS indices, corresponding to 32 Set A beams. Reference signal set 2 has 8 SSB indices, corresponding to 8 Set B beams. When configuring the 32 reference signals in reference signal set 1, the base station also configures their QCL-Type D source reference signals. For example, the QCL-Type D source reference signals for these 32 reference signals are [SSB1, SSB1, SSB1, SSB1, …, SSB8, SSB8, SSB8, SSB8].

[0418] Base station 1 and the UE-side device predefine the following mapping relationship between reference signals and beams:

[0419] a) The mapping relationship between the CSI-RS in reference signal set 1 and the 32 CSI-RS beams of base station 1 is: the kth CSI-RS corresponds to the kth CSI-RS beam;

[0420] b) The mapping relationship between the SSBs in reference signal set 2 and the eight SSB beams of base station 1 is: the kth SSB corresponds to the kth SSB beam;

[0421] c) The beam indices corresponding to reference signal set 1 and reference signal set 3 are numbered as follows: the horizontal beam starts from -60 degrees, the vertical beam starts from 90 degrees, and the numbering is carried out vertically first and then horizontally.

[0422] Step 2: The UE-side device trains the AI ​​or ML model #1 based on the reference signal received in step 1, and establishes a correspondence between the AI ​​or ML model #1 and the following first information, as shown in FIG8 :

[0423] The beam codebook dimension of Set A and / or Set B (i.e., the beam codebook dimension corresponding to the first reference signal set and the beam codebook dimension corresponding to the second reference signal set);

[0424] The spatial relationship between the reference signals corresponding to Set B and the reference signals corresponding to Set A (i.e., the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set);

[0425] The mapping relationship between reference signals and beams.

[0426] Among them, since the reference signal corresponding to Set B (i.e., the reference signal in the first reference signal set) is SSB, and the reference signal corresponding to Set A (i.e., the reference signal in the second reference signal set) is CSI-RS, the reference signal corresponding to Set B (i.e., the reference signal in the first reference signal set) can be used as the source reference signal of QCL-Type D for the reference signal corresponding to Set A (i.e., the reference signal in the second reference signal set). That is, through the QCL relationship between the reference signal corresponding to Set B and the reference signal corresponding to Set A (i.e., the QCL relationship between the reference signal in the first reference signal set and the reference signal in the second reference signal set), the spatial relationship between the reference signal corresponding to Set B and the reference signal corresponding to Set A (i.e., the spatial relationship between the reference signal in the first reference signal set and the reference signal in the second reference signal set) can be explicitly indicated.

[0427] For example, the value X of the i-th digit in the sequence [11112222333344445555666677778888] can indicate that the source reference signal for the QCL-Type D of the i-th reference signal corresponding to Set A (i.e., the i-th reference signal in the second reference signal set) is the X-th reference signal corresponding to Set B (i.e., the X-th reference signal in the first reference signal set). For example, the value 1 of the third digit in the sequence indicates that the QCL-Type D of the third reference signal in reference signal set 1 is the first reference signal in reference signal set 2.

[0428] Step 3: The UE-side device accesses base station 2 and reports basic information of AI or ML model #1, including the AI ​​or ML model #1 and the correspondence between the AI ​​or ML model #1 established in step 2 and the above information;

[0429] Step 4: Base station 2 receives the basic information reported by the UE. If the beam codebook dimensions of base station 2 and base station 1 are consistent, the mapping relationship between the reference signal and the beam is consistent, and the aforementioned spatial relationship is also consistent, base station 2 determines that the reference signal that matches AI or ML model #1 can be configured.

[0430] Step 5: According to the mapping relationship between the reference signal and the beam, number the beam of Set A (i.e., the beam corresponding to the second reference signal set) and the beam of Set B (i.e., the beam corresponding to the first reference signal set), and configure the reference signal, and the configured reference signal satisfies the correspondence relationship between the kth reference signal and the kth beam.

[0431] Example 3: The UE-side device deploys an AI or ML model for spatial beam prediction, and the input beam set Set B is a subset of the output beam set Set A. That is, the reference signals in the first reference signal set related to the input belong to the second reference signal set related to the output. The specific process is as follows:

[0432] Step 1: The UE-side device receives the reference signal sent by base station 1 for model training.

[0433] Taking the beam codebook dimension corresponding to Set A (i.e., the second reference signal set) of base station 1 as an example, which is 8 beams in the horizontal dimension and 4 beams in the vertical dimension, for a total of 32 beams, base station 1 configures the following reference signals for the UE-side device:

[0434] Reference signal set 1 (corresponding to Set A beam set, i.e., the second reference signal set) = [CSI-RS11, CSI-RS24, ..., CSI-RS36];

[0435] Reference signal set 2 (corresponding to the Set B beam set, i.e., the first reference signal set) bit map = [10000100001000011000010000100001].

[0436] Reference signal set 1 has 32 CSI-RS indices, corresponding to 32 Set A beams. Reference signal set 2 uses a 32-bit bitmap. A 1 in the i-th bit indicates that the beam corresponding to the i-th reference signal in reference signal set 1 is a beam in Set B (i.e., the i-th reference signal in reference signal set 1 belongs to the first reference signal set). A 0 in the i-th bit indicates that the beam corresponding to the i-th reference signal in reference signal set 1 is not a beam in Set B (i.e., the i-th reference signal in reference signal set 1 does not belong to the first reference signal set).

[0437] Base station 1 and the UE-side device predefine the following mapping relationship between reference signals and beams:

[0438] a) The mapping relationship between the reference signals in reference signal set 1 and the 32 beams of base station 1 is: the kth reference signal corresponds to the kth beam;

[0439] b) The beam index is numbered as follows: the horizontal beam starts at -60 degrees, and the vertical beam starts at 90 degrees, and is numbered vertically first and then horizontally, as shown in Figure 5 (the circles in Figure 5 represent beams, and the numbers 1, 2, ... 32 represent the corresponding beam indices).

[0440] Step 2: The UE-side device trains AI or ML model #1 based on the reference signal received in step 1 and establishes a correspondence between AI or ML model #1 and the following information, as shown in Figure 7:

[0441] Beam codebook dimensions of Set A and / or Set B (i.e., the beam codebook dimensions corresponding to the first reference signal set and / or the beam codebook dimensions corresponding to the second reference signal set): 8 beams in the horizontal dimension and 4 beams in the vertical dimension;

[0442] The spatial relationship between the reference signals corresponding to Set B and the reference signals corresponding to Set A (i.e., the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set): Set B is a subset of Set A (e.g., the reference signals in the first reference signal set belong to the second reference signal set);

[0443] The mapping relationship between reference signals and beams is as follows: the kth reference signal corresponds to the kth beam; the horizontal beam numbering starting angle is -60 degrees; the vertical beam numbering starting angle is 90 degrees; the numbering order is vertical first, then horizontal.

[0444] Among them, Set B is a subset of Set A (for example, the reference signals in the first reference signal set belong to the second reference signal set), that is, the bit map indicates which reference signal or signals corresponding to Set A (that is, in the second reference signal) constitute the reference signal set corresponding to Set B (that is, the second reference signal set indication), that is, the spatial relationship between the reference signals corresponding to Set B and the reference signals corresponding to Set A (that is, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set) is implicitly indicated.

[0445] Step 3: The UE-side device accesses base station 2 and reports basic information of AI or ML model #1, including AI or ML model #1 and the correspondence between AI or ML model #1 established in step 2 and the above information;

[0446] Step 4: Take, for example, the case where the beam codebook dimensions corresponding to Set A (i.e., the second reference signal set) of base station 2 are 6 beams in the horizontal dimension and 4 beams in the vertical dimension, for a total of 24 beams. Base station 2 receives the basic information reported by the UE-side device and determines that its beam codebook dimensions are inconsistent with the beam codebook dimensions corresponding to AI or ML model #1. Base station 2 then determines that it does not support the transmission of reference signals matching AI or ML model #1, and therefore does not transmit the reference signal corresponding to AI or ML model #1.

[0447] It should be noted that in step 4, base station 2 does not send a reference signal corresponding to the AI ​​or ML model #1. The base station 2 is not limited to sending other reference signals. For example, the base station 2 sends a reference signal according to the beam codebook dimension of 6 beams in the horizontal dimension and 4 beams in the vertical dimension for terminal side device training of the AI ​​or ML model, or for other UE side devices to perform model inference or performance testing, etc. The embodiments of the present disclosure are not limited to this.

[0448] The above embodiments introduce the information processing method disclosed herein. The following embodiments will further illustrate the corresponding apparatus, terminal-side equipment, and network equipment in conjunction with the accompanying drawings.

[0449] As shown in FIG9 , an embodiment of the present disclosure provides an information processing device, including a memory 91, a transceiver 92, and a processor 93. The memory 91 is used to store computer programs; the transceiver 92 is used to send and receive data under the control of the processor 93; for example, the transceiver 92 is used to receive and send data under the control of the processor 93; and the processor 93 is used to read the computer program in the memory 91 and perform the following operations:

[0450] Sending first information corresponding to the first artificial intelligence (AI) model and / or the first AI function to the first network device;

[0451] The first information includes at least one of the following:

[0452] Beam codebook dimension information;

[0453] The mapping relationship between reference signals and beams;

[0454] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0455] Optionally, the beam codebook dimension information includes at least one of the following:

[0456] beam codebook dimension information corresponding to the first reference signal set;

[0457] Beam codebook dimension information corresponding to the second reference signal set.

[0458] Optionally, the mapping relationship between the reference signal and the beam includes at least one of the following:

[0459] The mapping relationship between reference signal index and beam index;

[0460] The mapping relationship between the order of reference signal arrangement and the order of beam arrangement;

[0461] The mapping relationship between the order of reference signals and beam indices;

[0462] The first indication information is used to indicate a numbering method of the beam index.

[0463] Optionally, the first indication information includes at least one of the following:

[0464] The beam starting angle in the horizontal dimension corresponding to the first beam index;

[0465] The beam starting angle in the vertical dimension corresponding to the first beam index;

[0466] The order in which the beam indices are numbered.

[0467] Optionally, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following:

[0468] The reference signals in the first reference signal set belong to the second reference signal set;

[0469] A quasi-co-site QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0470] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0471] receiving a reference signal sent by a second network device;

[0472] measuring the reference signal to obtain a measurement result;

[0473] Model training is performed based on the measurement results to obtain a first AI model, and a correspondence between the first AI model and the first information is established, and / or a correspondence between a first AI function corresponding to the first AI model and the first information is established.

[0474] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0475] Receive first signaling sent by the second network device, wherein the first signaling carries at least one of the following information:

[0476] Beam codebook dimension information;

[0477] The mapping relationship between reference signals and beams;

[0478] A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0479] Optionally, when the first signaling does not include a spatial relationship between a reference signal in the first reference signal set and a reference signal in the second reference signal set, the processor is configured to read a computer program in the memory and perform the following operations:

[0480] A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set is determined according to the first signaling.

[0481] Optionally, the mapping relationship between the reference signal and the beam is preset.

[0482] In FIG9 , the bus architecture may include any number of interconnected buses and bridges, specifically one or more processors represented by processor 93 and various circuits of memory represented by memory 91. 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 are therefore not further described herein. The bus interface provides an interface. The transceiver 92 may be a plurality of components, i.e., a transmitter and a receiver, providing a unit for communicating with various other devices on a transmission medium, such as a wireless channel, a wired channel, an optical cable, and the like. For different user devices, the user interface 94 may also be an interface capable of connecting external or internal devices as required, and the connected devices include but are not limited to a keypad, a display, a speaker, a microphone, a joystick, and the like.

[0483] The processor 93 is responsible for managing the bus architecture and general processing, and the memory 91 can store data used by the processor 93 when performing operations.

[0484] Optionally, the processor 93 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.

[0485] The processor calls the computer program stored in the memory to execute any of the methods provided by the embodiments of the present disclosure according to the obtained executable instructions. The processor and the memory can also be arranged physically separately.

[0486] It should be noted here that the above-mentioned device provided by the embodiment of the present disclosure can implement all the method steps implemented by the information processing method embodiment of the above-mentioned terminal side device, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.

[0487] As shown in FIG10 , an embodiment of the present disclosure provides a terminal-side device 1000, including:

[0488] A sending unit 1010 is configured to send first information corresponding to a first artificial intelligence (AI) model and / or a first AI function to a first network device;

[0489] The first information includes at least one of the following:

[0490] Beam codebook dimension information;

[0491] The mapping relationship between reference signals and beams;

[0492] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0493] Optionally, the beam codebook dimension information includes at least one of the following:

[0494] beam codebook dimension information corresponding to the first reference signal set;

[0495] Beam codebook dimension information corresponding to the second reference signal set.

[0496] Optionally, the mapping relationship between the reference signal and the beam includes at least one of the following:

[0497] The mapping relationship between reference signal index and beam index;

[0498] The mapping relationship between the order of reference signal arrangement and the order of beam arrangement;

[0499] The mapping relationship between the order of reference signals and beam indices;

[0500] The first indication information is used to indicate a numbering method of the beam index.

[0501] Optionally, the first indication information includes at least one of the following:

[0502] The beam starting angle in the horizontal dimension corresponding to the first beam index;

[0503] The beam starting angle in the vertical dimension corresponding to the first beam index;

[0504] The order in which the beam indices are numbered.

[0505] Optionally, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following:

[0506] The reference signals in the first reference signal set belong to the second reference signal set;

[0507] A quasi-co-site QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0508] Optionally, the terminal side device 1000 further includes:

[0509] A first receiving unit, configured to receive a reference signal sent by a second network device;

[0510] a measuring unit, configured to measure the reference signal and obtain a measurement result;

[0511] An establishing unit is configured to perform model training based on the measurement results to obtain a first AI model, and establish a correspondence between the first AI model and the first information, and / or establish a correspondence between a first AI function corresponding to the first AI model and the first information.

[0512] Optionally, the terminal side device 1000 further includes:

[0513] The second receiving unit is configured to receive a first signaling sent by the second network device, wherein the first signaling carries at least one of the following information:

[0514] Beam codebook dimension information;

[0515] The mapping relationship between reference signals and beams;

[0516] A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0517] Optionally, when the first signaling does not include a spatial relationship between a reference signal in the first reference signal set and a reference signal in the second reference signal set, the terminal side device 1000 further includes:

[0518] A determining unit is configured to determine, according to the first signaling, a spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0519] Optionally, the mapping relationship between the reference signal and the beam is preset.

[0520] It should be noted here that the above-mentioned terminal side device provided in the embodiment of the present disclosure can implement all the method steps implemented in the information processing method embodiment of the above-mentioned terminal side device, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as the method embodiment will not be described in detail here.

[0521] To better achieve the above objectives, as shown in FIG11 , an embodiment of the present disclosure provides 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 send and receive 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; and the processor 113 is used to read the computer program in the memory 111 and perform the following operations:

[0522] Receiving first information corresponding to a first artificial intelligence (AI) model and / or a first AI function sent by a terminal-side device;

[0523] Sending, according to the first information, a reference signal corresponding to a first AI model and / or a first AI function, or not sending a reference signal corresponding to the first AI model and / or the first AI function;

[0524] The first information includes at least one of the following:

[0525] Beam codebook dimension information;

[0526] The mapping relationship between reference signals and beams;

[0527] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0528] Optionally, the beam codebook dimension information includes at least one of the following:

[0529] beam codebook dimension information corresponding to the first reference signal set;

[0530] Beam codebook dimension information corresponding to the second reference signal set.

[0531] Optionally, the mapping relationship between the reference signal and the beam includes at least one of the following:

[0532] The mapping relationship between reference signal index and beam index;

[0533] The mapping relationship between the order of reference signal arrangement and the order of beam arrangement;

[0534] The mapping relationship between the order of reference signals and beam indices;

[0535] The first indication information is used to indicate a numbering method of the beam index.

[0536] Optionally, the first indication information includes at least one of the following:

[0537] The beam starting angle in the horizontal dimension corresponding to the first beam index;

[0538] The beam starting angle in the vertical dimension corresponding to the first beam index;

[0539] The order in which the beam indices are numbered.

[0540] Optionally, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following:

[0541] The reference signals in the first reference signal set belong to the second reference signal set;

[0542] A quasi-co-site QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0543] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0544] When determining, based on the first information, that configuration of a reference signal corresponding to the first AI model and / or the first AI function is supported, sending the reference signal corresponding to the first AI model and / or the first AI function;

[0545] or,

[0546] If it is determined according to the first information that configuration of the reference signal corresponding to the first AI model and / or the first AI function is not supported, the reference signal corresponding to the first AI model and / or the first AI function is not sent.

[0547] Optionally, the processor is configured to read the computer program in the memory and perform the following operations:

[0548] If the first condition is met, determining to support configuration of a reference signal corresponding to the first AI model and / or the first AI function;

[0549] or,

[0550] If any one of the first conditions is not met, determining that configuration of a reference signal corresponding to the first AI model and / or the first AI function is not supported;

[0551] The first condition includes at least one of the following:

[0552] Determining that the beam codebook dimension information is consistent with the beam codebook dimension information in the first information;

[0553] determining that a spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set in the first information is consistent;

[0554] Determine that the mapping relationship between the reference signal and the beam in the first information is consistent.

[0555] In FIG11 , the bus architecture may include any number of interconnected buses and bridges, specifically linking various circuits of one or more processors represented by processor 113 and memory represented by memory 111. The bus architecture may also link various other circuits, such as peripherals, voltage regulators, and power management circuits, all of which are well known in the art and, therefore, will not be further described herein. The bus interface provides an interface. The transceiver 112 may be multiple components, including a transmitter and a receiver, providing a means for communicating with various other devices over a transmission medium, such as a wireless channel, a wired channel, or an optical cable. The processor 113 is responsible for managing the bus architecture and general processing, while the memory 111 may store data used by the processor 113 when performing operations.

[0556] 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). The processor may also adopt a multi-core architecture.

[0557] It should be noted here that the above-mentioned device provided by the embodiment of the present disclosure can implement all the method steps implemented by the information processing method embodiment on the above-mentioned first network device side, and can achieve the same technical effect. The parts and beneficial effects that are the same as the method embodiment in this embodiment will not be described in detail here.

[0558] As shown in FIG12 , an embodiment of the present disclosure provides a network device 1200 , which is a first network device and includes:

[0559] The receiving unit 1210 is configured to receive first information corresponding to a first artificial intelligence (AI) model and / or a first AI function sent by a terminal-side device;

[0560] The processing unit 1220 is configured to send a reference signal corresponding to the first AI model and / or the first AI function, or not send the reference signal corresponding to the first AI model and / or the first AI function, based on the first information;

[0561] The first information includes at least one of the following:

[0562] Beam codebook dimension information;

[0563] The mapping relationship between reference signals and beams;

[0564] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0565] Optionally, the beam codebook dimension information includes at least one of the following:

[0566] beam codebook dimension information corresponding to the first reference signal set;

[0567] Beam codebook dimension information corresponding to the second reference signal set.

[0568] Optionally, the mapping relationship between the reference signal and the beam includes at least one of the following:

[0569] The mapping relationship between reference signal index and beam index;

[0570] The mapping relationship between the order of reference signal arrangement and the order of beam arrangement;

[0571] The mapping relationship between the order of reference signals and beam indices;

[0572] The first indication information is used to indicate a numbering method of the beam index.

[0573] Optionally, the first indication information includes at least one of the following:

[0574] The beam starting angle in the horizontal dimension corresponding to the first beam index;

[0575] The beam starting angle in the vertical dimension corresponding to the first beam index;

[0576] The order in which the beam indices are numbered.

[0577] Optionally, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following:

[0578] The reference signals in the first reference signal set belong to the second reference signal set;

[0579] A quasi-co-site QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0580] Optionally, the processing unit 1220 is further configured to:

[0581] When determining, based on the first information, that configuration of a reference signal corresponding to the first AI model and / or the first AI function is supported, sending the reference signal corresponding to the first AI model and / or the first AI function;

[0582] or,

[0583] If it is determined according to the first information that configuration of the reference signal corresponding to the first AI model and / or the first AI function is not supported, the reference signal corresponding to the first AI model and / or the first AI function is not sent.

[0584] Optionally, the network device 1200 further includes:

[0585] a first determining unit, configured to determine, when a first condition is met, a reference signal supporting configuration corresponding to the first AI model and / or the first AI function;

[0586] or,

[0587] a second determining unit, configured to determine that configuration of a reference signal corresponding to the first AI model and / or the first AI function is not supported if any one of the first conditions is not satisfied;

[0588] The first condition includes at least one of the following:

[0589] Determining that the beam codebook dimension information is consistent with the beam codebook dimension information in the first information;

[0590] determining that a spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set in the first information is consistent;

[0591] Determine that the mapping relationship between the reference signal and the beam in the first information is consistent.

[0592] It should be noted here that the above-mentioned network device provided in the embodiment of the present disclosure can implement all the method steps implemented in the information processing method embodiment on the above-mentioned first network device side, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as those in the method embodiment will not be described in detail here.

[0593] Continuing with FIG11 , an embodiment of the present disclosure provides an information processing device, including a memory 111, a transceiver 112, and a processor 113. The memory 111 is configured to store computer programs; the transceiver 112 is configured to transmit and receive data under the control of the processor 113; for example, the transceiver 112 is configured to receive and transmit data under the control of the processor 113; and the processor 113 is configured to read the computer program in the memory 111 and perform the following operations:

[0594] Sending a first signaling to the terminal side device; wherein the first signaling is used to establish a correspondence between the first artificial intelligence AI model and the first information and / or a correspondence between the first AI function and the first information;

[0595] The first information includes at least one of the following:

[0596] Beam codebook dimension information;

[0597] The mapping relationship between reference signals and beams;

[0598] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0599] Optionally, the beam codebook dimension information includes at least one of the following:

[0600] beam codebook dimension information corresponding to the first reference signal set;

[0601] Beam codebook dimension information corresponding to the second reference signal set.

[0602] Optionally, the mapping relationship between the reference signal and the beam includes at least one of the following:

[0603] The mapping relationship between reference signal index and beam index;

[0604] The mapping relationship between the order of reference signal arrangement and the order of beam arrangement;

[0605] The mapping relationship between the order of reference signals and beam indices;

[0606] The first indication information is used to indicate a numbering method of the beam index.

[0607] Optionally, the first indication information includes at least one of the following:

[0608] The beam starting angle in the horizontal dimension corresponding to the first beam index;

[0609] The beam starting angle in the vertical dimension corresponding to the first beam index;

[0610] The order in which the beam indices are numbered.

[0611] Optionally, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following:

[0612] The reference signals in the first reference signal set belong to the second reference signal set;

[0613] A quasi-co-site QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0614] Optionally, the first signaling carries at least one of the following information:

[0615] Beam codebook dimension information;

[0616] The mapping relationship between reference signals and beams;

[0617] A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0618] Optionally, the mapping relationship between the reference signal and the beam is preset.

[0619] In FIG11 , the bus architecture may include any number of interconnected buses and bridges, specifically one or more processors represented by processor 113 and various circuits of memory represented by memory 111. 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 are therefore not further described herein. The bus interface provides an interface. The transceiver 112 may be a plurality of components, i.e., a transmitter and a receiver, providing a unit for communicating with various other devices over a transmission medium, such as a wireless channel, a wired channel, an optical cable, or the like. 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 performing operations.

[0620] 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). The processor may also adopt a multi-core architecture.

[0621] It should be noted here that the above-mentioned device provided in the embodiment of the present disclosure can implement all the method steps implemented in the information processing method embodiment on the above-mentioned second network device side, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as those in the method embodiment will not be described in detail here.

[0622] As shown in FIG13 , an embodiment of the present disclosure provides a network device 1300 , which is a second network device and includes:

[0623] A sending unit 1310 is configured to send a first signaling to a terminal-side device; wherein the first signaling is used to establish a correspondence between a first artificial intelligence (AI) model and the first information and / or a correspondence between a first AI function and the first information;

[0624] The first information includes at least one of the following:

[0625] Beam codebook dimension information;

[0626] The mapping relationship between reference signals and beams;

[0627] A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

[0628] Optionally, the beam codebook dimension information includes at least one of the following:

[0629] beam codebook dimension information corresponding to the first reference signal set;

[0630] Beam codebook dimension information corresponding to the second reference signal set.

[0631] Optionally, the mapping relationship between the reference signal and the beam includes at least one of the following:

[0632] The mapping relationship between reference signal index and beam index;

[0633] The mapping relationship between the order of reference signal arrangement and the order of beam arrangement;

[0634] The mapping relationship between the order of reference signals and beam indices;

[0635] The first indication information is used to indicate a numbering method of the beam index.

[0636] Optionally, the first indication information includes at least one of the following:

[0637] The beam starting angle in the horizontal dimension corresponding to the first beam index;

[0638] The beam starting angle in the vertical dimension corresponding to the first beam index;

[0639] The order in which the beam indices are numbered.

[0640] Optionally, the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following:

[0641] The reference signals in the first reference signal set belong to the second reference signal set;

[0642] A quasi-co-site QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0643] Optionally, the first signaling carries at least one of the following information:

[0644] Beam codebook dimension information;

[0645] The mapping relationship between reference signals and beams;

[0646] A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

[0647] Optionally, the mapping relationship between the reference signal and the beam is preset.

[0648] It should be noted here that the above-mentioned network device provided in the embodiment of the present disclosure can implement all the method steps implemented in the information processing method embodiment on the above-mentioned second network device side, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as those in the method embodiment will not be described in detail here.

[0649] It should be noted that the division of units in the embodiments of the present disclosure is schematic and is merely a logical functional division. In actual implementation, other division methods may be used. Furthermore, the functional units in the various embodiments of the present disclosure may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0650] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a processor-readable storage medium. Based on this understanding, the technical solution of the present disclosure is essentially or the part that contributes to the relevant technology or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling 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 method described in each embodiment of the present disclosure. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0651] An embodiment of the present disclosure also provides a processor-readable storage medium, which stores a computer program. The computer program is used to enable the processor to execute the steps of the information processing method of the above-mentioned terminal side device, or the steps of the information processing method on the network device side, and can achieve the same technical effect. The parts and beneficial effects of this embodiment that are the same as those in the method embodiment will not be described in detail here.

[0652] The processor-readable storage medium can be any available medium or data storage device that can be accessed by the processor, including but not limited to magnetic storage (such as floppy disks, hard disks, magnetic tapes, magneto-optical disks (MO), etc.), optical storage (such as compact discs (CD), digital video discs (DVD), Blu-ray discs (BD), high-definition versatile discs (HVD), etc.), and semiconductor memory (such as ROM, erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), non-volatile memory (NAND (Non-volatile Memory Device) FLASH), solid-state drives (SSD)), etc.

[0653] Those skilled in the art will appreciate that the embodiments of the present disclosure may be provided as methods, systems, or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage and optical storage, etc.) containing computer-usable program code.

[0654] The present disclosure is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present disclosure. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer-executable instructions. These computer-executable instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0655] These processor-executable instructions may also be stored in a processor-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the processor-readable memory produce a product including an instruction device that implements the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0656] These processor-executable instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and / or one or more boxes in the block diagram.

[0657] In addition, it should be noted that, in the apparatus and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. Moreover, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order, and some steps can be performed in parallel or independently of each other. For those of ordinary skill in the art, it will be understood that all or any steps or components of the method and apparatus of the present invention 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 invention.

[0658] It should be noted that it should be understood that the division of the above modules is merely a division of logical functions. In actual implementation, they can be fully or partially integrated into one physical entity, or they can be physically separated. Moreover, these modules can all be implemented in the form of software called by a processing element; or they can all be implemented in the form of hardware; or some modules can be implemented in the form of software called by a processing element, and some modules can be implemented in the form of hardware. For example, the determination module can be a separately established processing element, or it can be integrated into a chip of the above-mentioned device. In addition, it can also be stored in the memory of the above-mentioned device in the form of program code, and called by a processing element of the above-mentioned device to perform the functions of the above-mentioned determination module. The implementation of other modules is similar. In addition, these modules can all or partly be integrated together, or they can be implemented independently. The processing element described here can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each of the above modules can be completed by the hardware integrated logic circuit in the processor element or by instructions in the form of software.

[0659] For example, each module, unit, sub-unit or sub-module may be one or more integrated circuits configured to implement the above method, such as one or more application-specific integrated circuits (ASICs), one or more digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs). For another example, when a module is implemented by scheduling program code through a processing element, the processing element may be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0660] The terms "first," "second," and the like in the specification and claims of the present disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of the present disclosure described herein may be implemented in a sequence other than that illustrated or described herein. In addition, the terms "including" and "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units need not be limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to these processes, methods, products, or devices. In addition, the use of "and / or" in the specification and claims to indicate at least one of the connected objects, for example, A and / or B and / or C, means that seven situations are included: A alone, B alone, C alone, both A and B present, both B and C present, both A and C present, and all A, B, and C present. Similarly, the use of "at least one of A and B" in the specification and claims should be understood to mean "A alone, B alone, or both A and B present."

[0661] Obviously, those skilled in the art may make various changes and modifications to the present disclosure without departing from the spirit and scope of the present disclosure. Thus, if these modifications and variations of the present disclosure fall within the scope of the claims of the present disclosure and their equivalents, the present disclosure is intended to include these modifications and variations.

Claims

1. An information processing method, comprising: The terminal side device sends first information corresponding to the first artificial intelligence AI model and / or the first AI function to the first network device; The first information includes at least one of the following: Beam codebook dimension information; The mapping relationship between the reference signal and the beam; A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

2. The information processing method according to claim 1, wherein: The beam codebook dimension information includes at least one of the following: Beam codebook dimension information corresponding to the first reference signal set; The beam codebook dimension information corresponding to the second reference signal set.

3. The information processing method according to claim 1, wherein: The mapping relationship between the reference signal and the beam includes at least one of the following: The mapping relationship between the reference signal index and the beam index; The mapping relationship between the order of reference signal arrangement and the order of beam arrangement; The mapping relationship between the order of reference signals and beam indices; The first indication information is used to indicate a numbering method of the beam index.

4. The information processing method according to claim 3, wherein: The first indication information includes at least one of the following: The beam start angle in the horizontal dimension corresponding to the first beam index; The beam start angle in the vertical dimension corresponding to the first beam index; The beam index is numbered sequentially.

5. The information processing method according to claim 1, wherein: The spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following: The reference signals in the first reference signal set belong to the second reference signal set; A quasi co-site QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

6. The information processing method according to any one of claims 1 to 5, wherein: Before the terminal side device sends the first information corresponding to the first artificial intelligence AI model and / or the first AI function to the first network device, the method further includes: The terminal side device receives a reference signal sent by the second network device; The terminal side device measures the reference signal to obtain a measurement result; The terminal side device performs model training according to the measurement results to obtain a first AI model, and establishes a corresponding relationship between the first AI model and the first information, and / or establishes a corresponding relationship between a first AI function corresponding to the first AI model and the first information.

7. The information processing method according to claim 6, wherein: Before the terminal side device receives the reference signal sent by the second network device, the method further includes: The terminal side device receives a first signaling sent by the second network device; wherein the first signaling carries at least one of the following information: Beam codebook dimension information; The mapping relationship between the reference signal and the beam; A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

8. The information processing method according to claim 7, wherein when the first signaling does not include a spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set, the method further comprises: The terminal side device determines, based on the first signaling, a spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

9. The information processing method according to any one of claims 1 to 5, wherein: The mapping relationship between the reference signal and the beam is preset.

10. An information processing method, comprising: The first network device receives first information corresponding to the first artificial intelligence AI model and / or the first AI function sent by the terminal side device; The first network device sends a reference signal corresponding to the first AI model and / or the first AI function according to the first information, or does not send a reference signal corresponding to the first AI model and / or the first AI function; The first information includes at least one of the following: Beam codebook dimension information; The mapping relationship between the reference signal and the beam; A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

11. The information processing method according to claim 10, wherein: The beam codebook dimension information includes at least one of the following: Beam codebook dimension information corresponding to the first reference signal set; The beam codebook dimension information corresponding to the second reference signal set.

12. The information processing method according to claim 10, wherein: The mapping relationship between the reference signal and the beam includes at least one of the following: The mapping relationship between the reference signal index and the beam index; The mapping relationship between the order of reference signal arrangement and the order of beam arrangement; The mapping relationship between the order of reference signals and beam indices; The first indication information is used to indicate a numbering method of the beam index.

13. The information processing method according to claim 12, wherein: The first indication information includes at least one of the following: The beam start angle in the horizontal dimension corresponding to the first beam index; The beam start angle in the vertical dimension corresponding to the first beam index; The beam index is numbered sequentially.

14. The information processing method according to claim 10, wherein: The spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following: The reference signals in the first reference signal set belong to the second reference signal set; A quasi co-site QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

15. The information processing method according to any one of claims 10 to 14, wherein: The first network device sends a reference signal corresponding to the first AI model and / or the first AI function according to the first information, or does not send a reference signal corresponding to the first AI model and / or the first AI function, including: When the first network device determines, according to the first information, that it supports configuring a reference signal corresponding to the first AI model and / or the first AI function, sending a reference signal corresponding to the first AI model and / or the first AI function; or, When the first network device determines, according to the first information, that configuration of a reference signal corresponding to the first AI model and / or the first AI function is not supported, the reference signal corresponding to the first AI model and / or the first AI function is not sent.

16. The information processing method according to claim 15, further comprising: When the first condition is met, the network device determines to support configuration of a reference signal corresponding to the first AI model and / or the first AI function; or, If any one of the first conditions is not met, the network device determines that configuration of a reference signal corresponding to the first AI model and / or the first AI function is not supported; The first condition includes at least one of the following: Determining, by the first network device, that the beam codebook dimension information is consistent with the beam codebook dimension information in the first information; The first network device determines that the spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set in the first information is consistent; The first network device determines that the mapping relationship between the reference signal and the beam in the first information is consistent.

17. An information processing method, comprising: The second network device sends a first signaling to the terminal side device; wherein the first signaling is used to establish a correspondence between the first artificial intelligence AI model and the first information and / or a correspondence between the first AI function and the first information; The first information includes at least one of the following: Beam codebook dimension information; The mapping relationship between the reference signal and the beam; A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

18. The information processing method according to claim 17, wherein: The beam codebook dimension information includes at least one of the following: Beam codebook dimension information corresponding to the first reference signal set; The beam codebook dimension information corresponding to the second reference signal set.

19. The information processing method according to claim 17, wherein: The mapping relationship between the reference signal and the beam includes at least one of the following: The mapping relationship between the reference signal index and the beam index; The mapping relationship between the order of reference signal arrangement and the order of beam arrangement; The mapping relationship between the order of reference signals and beam indices; The first indication information is used to indicate a numbering method of the beam index.

20. The information processing method according to claim 19, wherein: The first indication information includes at least one of the following: The beam start angle in the horizontal dimension corresponding to the first beam index; The beam start angle in the vertical dimension corresponding to the first beam index; The beam index is numbered sequentially.

21. The information processing method according to claim 17, wherein: The spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following: The reference signals in the first reference signal set belong to the second reference signal set; A quasi co-site QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

22. The information processing method according to any one of claims 17 to 21, wherein: The first signaling carries at least one of the following information: Beam codebook dimension information; The mapping relationship between the reference signal and the beam; A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

23. The information processing method according to any one of claims 17 to 21, wherein: The mapping relationship between the reference signal and the beam is preset.

24. An information processing device comprising a memory, a transceiver, and a processor; in, The memory is used to store the 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: Sending first information corresponding to the first artificial intelligence AI model and / or the first AI function to the first network device; The first information includes at least one of the following: Beam codebook dimension information; The mapping relationship between the reference signal and the beam; A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

25. The information processing device according to claim 24, wherein: The beam codebook dimension information includes at least one of the following: Beam codebook dimension information corresponding to the first reference signal set; The beam codebook dimension information corresponding to the second reference signal set.

26. The information processing device according to claim 24, wherein: The mapping relationship between the reference signal and the beam includes at least one of the following: The mapping relationship between the reference signal index and the beam index; The mapping relationship between the order of reference signal arrangement and the order of beam arrangement; The mapping relationship between the order of reference signals and beam indices; The first indication information is used to indicate a numbering method of the beam index.

27. The information processing device according to claim 26, wherein: The first indication information includes at least one of the following: The beam start angle in the horizontal dimension corresponding to the first beam index; The beam start angle in the vertical dimension corresponding to the first beam index; The beam index is numbered sequentially.

28. The information processing device according to claim 24, wherein: The spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following: The reference signals in the first reference signal set belong to the second reference signal set; A quasi co-site QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

29. The information processing device according to any one of claims 24 to 28, wherein the processor is configured to read the computer program in the memory and perform the following operations: receiving a reference signal sent by a second network device; Measuring the reference signal to obtain a measurement result; Model training is performed according to the measurement results to obtain a first AI model, and a correspondence between the first AI model and the first information is established, and / or a correspondence between a first AI function corresponding to the first AI model and the first information is established.

30. The information processing device according to claim 29, wherein the processor is configured to read the computer program in the memory and perform the following operations: receiving a first signaling sent by the second network device; wherein, The first signaling carries at least one of the following information: Beam codebook dimension information; The mapping relationship between the reference signal and the beam; A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

31. The information processing device according to claim 30, wherein when the first signaling does not include a spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set, the processor is configured to read a computer program in the memory and perform the following operations: A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set is determined according to the first signaling.

32. The information processing device according to any one of claims 24 to 28, wherein: The mapping relationship between the reference signal and the beam is preset.

33. A terminal side device, comprising: A sending unit, configured to send first information corresponding to a first artificial intelligence AI model and / or a first AI function to a first network device; The first information includes at least one of the following: Beam codebook dimension information; The mapping relationship between the reference signal and the beam; A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

34. The terminal side device according to claim 33, wherein: The beam codebook dimension information includes at least one of the following: Beam codebook dimension information corresponding to the first reference signal set; The beam codebook dimension information corresponding to the second reference signal set.

35. The terminal side device according to claim 33, wherein: The mapping relationship between the reference signal and the beam includes at least one of the following: The mapping relationship between the reference signal index and the beam index; The mapping relationship between the order of reference signal arrangement and the order of beam arrangement; The mapping relationship between the order of reference signals and beam indices; The first indication information is used to indicate a numbering method of the beam index.

36. The terminal side device according to claim 35, wherein: The first indication information includes at least one of the following: The beam start angle in the horizontal dimension corresponding to the first beam index; The beam start angle in the vertical dimension corresponding to the first beam index; The beam index is numbered sequentially.

37. The terminal side device according to claim 33, wherein: The spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following: The reference signals in the first reference signal set belong to the second reference signal set; A quasi co-site QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

38. The terminal side device according to any one of claims 33 to 37, further comprising: A first receiving unit, configured to receive a reference signal sent by a second network device; A measuring unit, used to measure the reference signal to obtain a measurement result; An establishing unit is used to perform model training according to the measurement result to obtain a first AI model, and establish a corresponding relationship between the first AI model and the first information, and / or establish a corresponding relationship between a first AI function corresponding to the first AI model and the first information.

39. The terminal side device according to claim 38, further comprising: The second receiving unit is configured to receive a first signaling sent by the second network device; wherein the first signaling carries at least one of the following information: Beam codebook dimension information; The mapping relationship between the reference signal and the beam; A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

40. The terminal side device according to claim 39, when the first signaling does not include a spatial relationship between a reference signal in the first reference signal set and a reference signal in the second reference signal set, the terminal side device further comprises: A determining unit is used to determine, according to the first signaling, a spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

41. The terminal side device according to any one of claims 33 to 37, wherein: The mapping relationship between the reference signal and the beam is preset.

42. An information processing device comprising a memory, a transceiver, and a processor; in, The memory is used to store the 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: Receiving first information corresponding to a first artificial intelligence AI model and / or a first AI function sent by a terminal side device; According to the first information, sending a reference signal corresponding to a first AI model and / or a first AI function, or not sending a reference signal corresponding to the first AI model and / or the first AI function; The first information includes at least one of the following: Beam codebook dimension information; The mapping relationship between the reference signal and the beam; A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

43. The information processing device according to claim 42, wherein: The beam codebook dimension information includes at least one of the following: Beam codebook dimension information corresponding to the first reference signal set; The beam codebook dimension information corresponding to the second reference signal set.

44. The information processing apparatus according to claim 42, wherein: The mapping relationship between the reference signal and the beam includes at least one of the following: The mapping relationship between the reference signal index and the beam index; The mapping relationship between the order of reference signal arrangement and the order of beam arrangement; The mapping relationship between the order of reference signals and beam indices; The first indication information is used to indicate a numbering method of the beam index.

45. The information processing apparatus according to claim 44, wherein: The first indication information includes at least one of the following: The beam start angle in the horizontal dimension corresponding to the first beam index; The beam start angle in the vertical dimension corresponding to the first beam index; The beam index is numbered sequentially.

46. ​​The information processing apparatus according to claim 42, wherein: The spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following: The reference signals in the first reference signal set belong to the second reference signal set; A quasi co-site QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

47. An information processing device according to any one of claims 42 to 46, wherein: The processor is configured to read the computer program in the memory and perform the following operations: When determining according to the first information that configuration of a reference signal corresponding to the first AI model and / or the first AI function is supported, sending a reference signal corresponding to the first AI model and / or the first AI function; or, If it is determined according to the first information that configuration of the reference signal corresponding to the first AI model and / or the first AI function is not supported, the reference signal corresponding to the first AI model and / or the first AI function is not sent.

48. The information processing device according to claim 47, wherein the processor is configured to read the computer program in the memory and perform the following operations: When the first condition is met, determining to support configuration of a reference signal corresponding to the first AI model and / or the first AI function; or, If any one of the first conditions is not met, determining that configuration of a reference signal corresponding to the first AI model and / or the first AI function is not supported; in, The first condition includes at least one of the following: Determining that the beam codebook dimension information is consistent with the beam codebook dimension information in the first information; Determine the reference signal in the first reference signal set and the reference signal in the second reference signal set in the first information The spatial relationship between the reference signals is consistent; Determine that the mapping relationship between the reference signal and the beam in the first information is consistent.

49. A network device, the network device being a first network device, comprising: A receiving unit, configured to receive first information corresponding to a first artificial intelligence AI model and / or a first AI function sent by a terminal side device; a processing unit, configured to send a reference signal corresponding to a first AI model and / or a first AI function, or not send a reference signal corresponding to the first AI model and / or the first AI function, according to the first information; The first information includes at least one of the following: Beam codebook dimension information; The mapping relationship between the reference signal and the beam; A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

50. The network device according to claim 49, wherein: The beam codebook dimension information includes at least one of the following: Beam codebook dimension information corresponding to the first reference signal set; The beam codebook dimension information corresponding to the second reference signal set.

51. The network device according to claim 49, wherein: The mapping relationship between the reference signal and the beam includes at least one of the following: The mapping relationship between the reference signal index and the beam index; The mapping relationship between the order of reference signal arrangement and the order of beam arrangement; The mapping relationship between the order of reference signals and beam indices; The first indication information is used to indicate a numbering method of the beam index.

52. The network device according to claim 51, wherein: The first indication information includes at least one of the following: The beam start angle in the horizontal dimension corresponding to the first beam index; The beam start angle in the vertical dimension corresponding to the first beam index; The beam index is numbered sequentially.

53. The network device according to claim 49, wherein: The spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following: The reference signals in the first reference signal set belong to the second reference signal set; A quasi co-site QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

54. The network device according to any one of claims 49 to 53, wherein the processing unit is further configured to: When determining according to the first information that configuration of a reference signal corresponding to the first AI model and / or the first AI function is supported, sending a reference signal corresponding to the first AI model and / or the first AI function; or, If it is determined according to the first information that configuration of the reference signal corresponding to the first AI model and / or the first AI function is not supported, the reference signal corresponding to the first AI model and / or the first AI function is not sent.

55. The network device according to claim 54, further comprising: A first determining unit, configured to determine, when a first condition is met, a reference signal supporting configuration corresponding to a first AI model and / or a first AI function; or, a second determining unit, configured to determine that configuration of a reference signal corresponding to the first AI model and / or the first AI function is not supported if any one of the first conditions is not met; The first condition includes at least one of the following: Determining that the beam codebook dimension information is consistent with the beam codebook dimension information in the first information; Determining that a spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set in the first information is consistent; Determine that the mapping relationship between the reference signal and the beam in the first information is consistent.

56. An information processing device comprising a memory, a transceiver, and a processor; in, The memory is used to store the 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: Sending a first signaling to a terminal side device; wherein the first signaling is used to establish a correspondence between a first artificial intelligence AI model and the first information and / or a correspondence between a first AI function and the first information; The first information includes at least one of the following: Beam codebook dimension information; The mapping relationship between the reference signal and the beam; A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

57. The information processing apparatus according to claim 56, wherein: The beam codebook dimension information includes at least one of the following: Beam codebook dimension information corresponding to the first reference signal set; The beam codebook dimension information corresponding to the second reference signal set.

58. The information processing device according to claim 56, wherein: The mapping relationship between the reference signal and the beam includes at least one of the following: The mapping relationship between the reference signal index and the beam index; The mapping relationship between the order of reference signal arrangement and the order of beam arrangement; The mapping relationship between the order of reference signals and beam indices; The first indication information is used to indicate a numbering method of the beam index.

59. The information processing apparatus according to claim 58, wherein: The first indication information includes at least one of the following: The beam start angle in the horizontal dimension corresponding to the first beam index; The beam start angle in the vertical dimension corresponding to the first beam index; The beam index is numbered sequentially.

60. The information processing device according to claim 56, wherein: The spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following: The reference signals in the first reference signal set belong to the second reference signal set; A quasi co-site QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

61. An information processing device according to any one of claims 56 to 60, wherein: The first signaling carries at least one of the following information: Beam codebook dimension information; The mapping relationship between the reference signal and the beam; A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

62. An information processing device according to any one of claims 56 to 60, wherein: The mapping relationship between the reference signal and the beam is preset.

63. A network device, the network device being a second network device, comprising: A sending unit, configured to send a first signaling to a terminal side device; wherein the first signaling is used to establish a correspondence between a first artificial intelligence AI model and the first information and / or a correspondence between a first AI function and the first information; The first information includes at least one of the following: Beam codebook dimension information; The mapping relationship between the reference signal and the beam; A spatial relationship between reference signals corresponding to a first reference signal set and reference signals corresponding to a second reference signal set; the first reference signal set is related to input, and the second reference signal set is related to output.

64. The network device according to claim 63, wherein: The beam codebook dimension information includes at least one of the following: Beam codebook dimension information corresponding to the first reference signal set; The beam codebook dimension information corresponding to the second reference signal set.

65. The network device according to claim 63, wherein: The mapping relationship between the reference signal and the beam includes at least one of the following: The mapping relationship between the reference signal index and the beam index; The mapping relationship between the order of reference signal arrangement and the order of beam arrangement; The mapping relationship between the order of reference signals and beam indices; The first indication information is used to indicate a numbering method of the beam index.

66. The network device according to claim 65, wherein: The first indication information includes at least one of the following: The beam start angle in the horizontal dimension corresponding to the first beam index; The beam start angle in the vertical dimension corresponding to the first beam index; The beam index is numbered sequentially.

67. The network device according to claim 63, wherein: The spatial relationship between the reference signals in the first reference signal set and the reference signals in the second reference signal set includes at least one of the following: The reference signals in the first reference signal set belong to the second reference signal set; A quasi co-site QCL relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

68. The network device according to any one of claims 63 to 67, wherein: The first signaling carries at least one of the following information: Beam codebook dimension information; The mapping relationship between the reference signal and the beam; A spatial relationship between reference signals in the first reference signal set and reference signals in the second reference signal set.

69. The network device according to any one of claims 63 to 67, wherein: The mapping relationship between the reference signal and the beam is preset.

70. A processor-readable storage medium storing a computer program, wherein 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 23.

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