Channel information generation method and apparatus used in node for wireless communication

Abstract

The present application discloses a channel information generation method and apparatus used in a node for wireless communication. A first node transmits a first information block or receives a first information block, wherein the first information block is used for indicating two resource groups, and the two resource groups both comprise at least one processing resource; and the first node transmits a first channel information block. The generation of the first channel information block corresponds to a first identifier; only one of the two resource groups corresponds to the first identifier; the generation of the first channel information block occupies M1 processing resources, M1 being a positive integer; and the M1 processing resources belong to the resource group corresponding to the first identifier among the two resource groups.

Description

Method and apparatus for channel information generation in a node for wireless communication

[0001] TECHNICAL FIELD The present application relates to a transmission method and device in a wireless communication system, and in particular to a scheme and device for channel information generation in a wireless communication system. BACKGROUND

[0002] In a conventional wireless communication, a UE (User Equipment) calculates channel information by measuring a downlink reference signal. The channel information includes, but is not limited to, one or more of CRI (Channel state information-reference signal Resource Indicator), RI (Rank Indicator), PMI (Precoding Matrix Indicator) or CQI (Channel quality indicator).

[0003] With the adoption of new technologies, the increase in the number of antennas, the diversification of application scenarios and the improvement of system performance requirements, the traditional measurement and reporting method will bring a large amount of redundant overhead. Therefore, in NR R(release)18, the research on AI(Artificial Intelligence) / ML(Machine Learning) technology is launched to explore its impact on system performance and system design. Compared with the traditional processing method, AI / ML has the characteristics of being based on training and needing to be deployed. In addition, AI / ML is also a key candidate technology for future 6G communication. When AI / ML functions are introduced, the existing channel information related measurement mechanism, generation and / or reporting mechanism and related configuration signaling may not be able to adapt to the needs of AI / ML. SUMMARY

[0004] The applicant has found, through research, that deriving channel information requires occupying certain resources, and how to determine which resource or resources to occupy is a key problem to be solved. In view of the above problem, the present application discloses a solution. It should be noted that although a large number of embodiments of the present application are developed for AI / ML, the present application is also applicable to other solutions, such as traditional channel information reporting solutions. In addition, adopting a unified solution in different scenarios (including but not limited to AI / ML-based solutions and traditional information reporting solutions) also helps to reduce hardware complexity and cost. In the case of no conflict, the embodiments in the first node and the features in the embodiments of the present application can be applied to the second node, and vice versa. In the case of no conflict, the embodiments of the present application and the features in the embodiments can be arbitrarily combined with each other.

[0005] As an embodiment, the explanation of the terms in the present application is referred to the definition of the specification agreement TS38 series of 3GPP.

[0006] As an embodiment, the explanation of the terms in the present application is referred to the definition of the specification agreement TS28 series of 3GPP.

[0007] The present application discloses a method in a first node used for wireless communication, characterized in that, comprising:

[0008] sending or receiving a first information block; the first information block is used to indicate two resource groups, and the two resource groups each include at least one processing resource;

[0009] sending a first channel information block;

[0010] wherein the generation of the first channel information block corresponds to a first identifier; only one of the two resource groups corresponds to the first identifier; the generation of the first channel information block occupies M1 processing resources, M1 is a positive integer; the M1 processing resources belong to the resource group corresponding to the first identifier in the two resource groups.

[0011] As an embodiment, the problem to be solved by the present application includes that deriving channel information requires occupying certain resources, and how to determine which resource or resources to occupy.

[0012] As an embodiment, the benefits of the above method include ensuring consistent understanding of the processing resources occupied by the transceiver for channel information.

[0013] As an embodiment, the benefits of the above method include better adaptation to various different application scenarios or terminals.

[0014] As an embodiment, the benefits of the above method include good flexibility.

[0015] As an embodiment, the above method has the advantage of better adaptation to various processing capabilities.

[0016] As an embodiment, the above method has the advantage of better adaptation to various terminal capabilities.

[0017] According to an aspect of the present application, the first node is a user equipment.

[0018] According to an aspect of the present application, the first node is a relay node.

[0019] According to an aspect of the present application, the resource group corresponding to the first identity in the two resource groups includes at least M1 unoccupied processing resources.

[0020] As an embodiment, in the above method, one or some processing resources in the resource group can be occupied, but the total number of unoccupied processing resources is not less than M1, and then M1 unoccupied processing resources can be used for processing of the first channel information block.

[0021] According to an aspect of the present application, the two resource groups correspond to two different identities respectively, and the first identity is one of the two different identities.

[0022] According to an aspect of the present application, only one resource group in the two resource groups corresponds to the first type of identity, and the first identity is one of the first type of identity.

[0023] According to an aspect of the present application, the first resource group is the resource group corresponding to the first identity in the two resource groups, and the total number of processing resources in the first resource group depends on the first identity.

[0024] According to an aspect of the present application, the first resource group is the resource group corresponding to the first identity in the two resource groups; only L1 channel information blocks in L channel information blocks occupy processing resources in the first resource group, L is a positive integer greater than 1, and L1 is a positive integer less than L; the first channel information block is one of the L1 channel information blocks; the L1 channel information blocks satisfy a first condition; the first condition includes that the generation of the channel information block corresponds to the first identity.

[0025] As an embodiment, the above method has the advantage of minimizing the occupation of resource groups and improving resource utilization.

[0026] As an embodiment, the above method has the advantage of saving energy consumption.

[0027] As one embodiment, benefits of the above method include: improving processing speed.

[0028] As one embodiment, benefits of the above method include: reducing processing latency.

[0029] According to one aspect of the present application, it features comprising:

[0030] receiving a second information block;

[0031] wherein the second information block comprises reporting configuration of the first channel information block.

[0032] According to one aspect of the present application, it features that the reporting configuration of the first channel information block indicates a first resource set, the first resource set comprising at least one RS resource used for measurement of the first channel information block; and the first channel information block indicates at least one resource in a second resource set, the second resource set comprising resources not belonging to the first resource set.

[0033] According to one aspect of the present application, it features comprising: receiving a signal in the first resource set.

[0034] As one embodiment, the signal in the first resource set comprises: a wireless signal in the first resource set.

[0035] As one embodiment, the signal in the first resource set comprises: a reference signal in the first resource set.

[0036] According to one aspect of the present application, it features comprising: receiving a signal in the second resource set.

[0037] According to one aspect of the present application, it features that the second resource set comprises one or more RS resources; and the signal in the second resource set comprises: a reference signal in the first resource set.

[0038] According to one aspect of the present application, it features comprising: not receiving a signal in the second resource set.

[0039] As one embodiment, benefits of the above method include: reducing overhead required for obtaining channel information.

[0040] As one embodiment, benefits of the above method include: reducing measurement resources required for obtaining channel information.

[0041] According to one aspect of the present application, it features comprising: performing a first operation, the first channel information block depending on output of the first operation.

[0042] According to an aspect of the present application, the first operation is based on training or AI.

[0043] As an embodiment, the AI includes ML.

[0044] As an embodiment, the AI includes ML.

[0045] As an embodiment, the first operation is deployment-needed.

[0046] As an embodiment, the first operation is obtained by load.

[0047] As an embodiment, it includes: deploying the first operation.

[0048] As an embodiment, the benefits of the above method include that the first node is reserved with sufficient degrees of freedom, which is adaptive and flexible to various scenarios and terminals.

[0049] As an embodiment, the benefits of the above method include that the training for the first operation can not be performed at the first node, which reduces the demand for processing capacity and power consumption of the first node.

[0050] The present application discloses a method in a second node used for wireless communication, characterized in that it includes:

[0051] Receiving or sending a first information block, which is used to indicate two resource groups, and the two resource groups each include at least one processing resource;

[0052] Receiving a first channel information block;

[0053] Wherein, the generation of the first channel information block corresponds to a first identifier; only one of the two resource groups corresponds to the first identifier; the generation of the first channel information block occupies M1 processing resources, and M1 is a positive integer; the M1 processing resources belong to the resource group corresponding to the first identifier among the two resource groups.

[0054] According to an aspect of the present application, the second node is a base station.

[0055] According to an aspect of the present application, the second node is a user equipment.

[0056] According to an aspect of the present application, the second node is a relay node.

[0057] According to an aspect of the present application, the resource group corresponding to the first identity in the two resource groups includes at least M1 unoccupied processing resources.

[0058] According to an aspect of the present application, the two resource groups correspond to two different identities respectively, and the first identity is one of the two different identities.

[0059] According to an aspect of the present application, only one resource group in the two resource groups corresponds to a first type of identity, and the first identity is one of the first type of identity.

[0060] According to an aspect of the present application, the first resource group is the resource group corresponding to the first identity in the two resource groups, and the total number of the processing resources in the first resource group depends on the first identity.

[0061] According to an aspect of the present application, the first resource group is the resource group corresponding to the first identity in the two resource groups; only L1 channel information blocks in L channel information blocks occupy processing resources in the first resource group, L is a positive integer greater than 1, and L1 is a positive integer less than L; the first channel information block is one of the L1 channel information blocks; the L1 channel information blocks satisfy a first condition; the first condition includes that the generation of the channel information block corresponds to the first identity.

[0062] According to an aspect of the present application, the method comprises:

[0063] sending a second information block;

[0064] The second information block includes a reporting configuration of the first channel information block.

[0065] According to an aspect of the present application, the reporting configuration of the first channel information block indicates a first resource set, the first resource set includes at least one RS resource used for measurement of the first channel information block; and the first channel information block indicates at least one resource in a second resource set, the second resource set includes resources not belonging to the first resource set.

[0066] According to an aspect of the present application, the method comprises: sending a signal in the first resource set.

[0067] According to an aspect of the present application, the signal in the first resource set includes a wireless signal in the first resource set.

[0068] According to an aspect of the present application, the signal in the first resource set comprises a reference signal in the first resource set.

[0069] According to an aspect of the present application, it comprises: transmitting a signal in the second source set.

[0070] According to an aspect of the present application, the second source set comprises one or more RS resources; and the signal in the second resource set comprises a reference signal in the first resource set.

[0071] According to an aspect of the present application, it comprises: not transmitting a signal in the second source set.

[0072] According to an aspect of the present application, it comprises: performing a second operation; wherein a transmitter of the first channel information block performs a first operation, an output of the first operation comprises first CSI, the first channel information block carries the first CSI, and the first CSI is used as input of the second operation to generate second CSI.

[0073] As an embodiment, the first operation is training-based or AI-based.

[0074] As an embodiment, the first operation is deployment-required.

[0075] As an embodiment, the first operation is obtained by loading.

[0076] According to an aspect of the present application, it comprises: deploying the second operation.

[0077] According to an aspect of the present application, the second operation is training-based or AI-based.

[0078] As an embodiment, the second operation is deployment-required.

[0079] As an embodiment, the second operation is obtained by loading.

[0080] As an embodiment, the benefits of the above method include that sufficient degrees of freedom are reserved for the second node, various different scenarios and terminals are adapted, and adaptability and flexibility are achieved.

[0081] As an embodiment, the benefits of the above method include that training for the second operation can not be performed at the second node, and the demand for processing capability and power consumption of the second node is reduced.

[0082] The application discloses a first node used for wireless communication, and relates to the technical field of wireless communication.

[0083] The first processor transmits or receives a first information block; the first information block is used for indicating two resource groups, and the two resource groups each include at least one processing resource.

[0084] The first channel information block is transmitted.

[0085] The generation of the first channel information block corresponds to a first identifier; only one resource group in the two resource groups corresponds to the first identifier; the generation of the first channel information block occupies M1 processing resources, M1 is a positive integer; and the M1 processing resources belong to the resource group corresponding to the first identifier in the two resource groups.

[0086] The application discloses a second node used for wireless communication, and relates to the technical field of wireless communication.

[0087] The second processor receives or transmits a first information block; the first information block is used for indicating two resource groups, and the two resource groups each include at least one processing resource.

[0088] The first channel information block is received.

[0089] The generation of the first channel information block corresponds to a first identifier; only one resource group in the two resource groups corresponds to the first identifier; the generation of the first channel information block occupies M1 processing resources, M1 is a positive integer; and the M1 processing resources belong to the resource group corresponding to the first identifier in the two resource groups.

[0090] Compared with the prior art, the application has the following advantages as an embodiment.

[0091] The application ensures the consistency of understanding of channel information processing of a transmitting end and a receiving end.

[0092] The application is better adapted to various application scenarios.

[0093] The application is better adapted to various terminals.

[0094] The application has good flexibility.

[0095] The application has good adaptability.

[0096] The application reduces resource occupation as much as possible.

[0097] The application improves resource utilization.

[0098] The application saves energy consumption.

[0099] The application reduces processing delay.

[0100] Improved processing speed;

[0101] Higher channel information accuracy and real-time performance;

[0102] Lower air interface overhead;

[0103] Enhanced reliability and robustness;

[0104] Enhanced overall system performance. BRIEF DESCRIPTION OF DRAWINGS

[0105] Other features, objects, and advantages of the application will become more apparent from the following detailed description when read in connection with the following accompanying drawings:

[0106] FIG. 1 illustrates a flow diagram of a first information block and a first channel information block according to one embodiment of the present application;

[0107] FIG. 2 illustrates a schematic diagram of a network architecture according to one embodiment of the present application;

[0108] FIG. 3 illustrates a schematic diagram of an embodiment of a radio protocol architecture for the user and control planes according to one embodiment of the present application;

[0109] FIG. 4 illustrates a schematic diagram of a first communication device and a second communication device according to one embodiment of the present application;

[0110] FIG. 5 illustrates a transmission between a first node and a second node according to one embodiment of the present application;

[0111] FIG. 6 illustrates a schematic diagram of a resource group corresponding to a first identification according to one embodiment of the present application;

[0112] FIGS. 7A-7B illustrate a schematic diagram of a relationship between two resource groups and a first identification according to one embodiment of the present application;

[0113] FIG. 8 illustrates a schematic diagram of a total number of processing resources within a resource group according to one embodiment of the present application;

[0114] FIG. 9 illustrates a schematic diagram of L1 channel information blocks according to one embodiment of the present application;

[0115] FIGS. 10A-10B illustrate a schematic diagram of a resource group according to one embodiment of the present application;

[0116] FIGS. 11A-11C illustrate a schematic diagram of a generation of a first channel information block corresponding to a first identification according to one embodiment of the present application;

[0117] FIGS. 12A-12C show a schematic diagram of a first channel information block, according to an embodiment of the present application;

[0118] FIGS. 13A-13B show a schematic diagram of the first node deploying a first operation, according to an embodiment of the present application;

[0119] FIG. 14 shows a schematic diagram of RAN (Radio Access Network) domain AI / ML function deployment, according to an embodiment of the present application;

[0120] FIG. 15 shows a schematic diagram of AI / ML function deployment of a UE, according to an embodiment of the present application;

[0121] FIG. 16 shows a schematic diagram of an artificial intelligence or machine learning based processing system, according to an embodiment of the present application;

[0122] FIG. 17 shows a schematic diagram of an artificial intelligence or machine learning based, according to an embodiment of the present application;

[0123] FIG. 18 shows a structural block diagram of a processing apparatus in a first node, according to an embodiment of the present application;

[0124] FIG. 19 shows a structural block diagram of a processing apparatus in a second node, according to an embodiment of the present application. DETAILED DESCRIPTION

[0125] The technical solutions of the present application will be further described in detail below with reference to the accompanying drawings. It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other arbitrarily without conflict. Based on performance, flexibility, complexity, overhead and compatibility, etc., the person skilled in the art has the motivation to combine the embodiments in different drawings flexibly without conflict, for example, but not limited to, the embodiments in FIG. 1 and the embodiments in FIGS. 5-19, the embodiments in FIG. 5 and the embodiments in FIGS. 6-19, etc.

[0126] Embodiment 1

[0127] Embodiment 1 shows a flowchart of a first information block and a first channel information block, according to an embodiment of the present application, as shown in FIG. 1. In 100 shown in FIG. 1, each block represents a step. In particular, the order of the steps in the blocks does not represent a specific time sequence between the steps.

[0128] In embodiment 1, the first node transmits or receives a first information block in step 101; transmits a first channel information block in step 102; wherein the first information block is used to indicate two resource groups, the two resource groups both include at least one processing resource; the generation of the first channel information block corresponds to a first identity; only one resource group of the two resource groups corresponds to the first identity; the generation of the first channel information block occupies M1 processing resources, M1 is a positive integer; the M1 processing resources belong to the resource group corresponding to the first identity in the two resource groups.

[0129] As an embodiment, the M1 processing resources belong to the resource group corresponding to the first identity in the two resource groups means that: the first resource group is the resource group corresponding to the first identity in the two resource groups, and the M1 processing resources belong to the first resource group.

[0130] As an embodiment, the generation of the first channel information block occupies M1 processing resources in only one resource group of the two resource groups.

[0131] As an embodiment, the first channel information block includes channel state information (CSI).

[0132] As an embodiment, the CSI includes beam information.

[0133] As an embodiment, the CSI includes compressed CSI.

[0134] As an embodiment, the compressed CSI is non-codebook-based channel information.

[0135] As an embodiment, the compressed CSI does not belong to the reporting quantity defined in 3GPP Rel-18, nor to the reporting quantity defined in the version before 3GPP Rel-18.

[0136] As an embodiment, the target receiver of the compressed CSI is unknown to the sender of the compressed CSI based on the channel parameters recovered by the compressed CSI.

[0137] As an embodiment, the compressed CSI is artificial intelligence or machine learning-based channel information.

[0138] As an embodiment, the compressed CSI is neural network-based channel information.

[0139] As an embodiment, the compressed CSI is based on channel information generated based on a CNN (Conventional Neural Networks).

[0140] As an embodiment, the first channel information block comprises channel information generated based on artificial intelligence or machine learning.

[0141] As an embodiment, the first channel information block comprises channel information generated based on a neural network.

[0142] As an embodiment, the first channel information block comprises channel information generated based on a CNN (Conventional Neural Networks).

[0143] As an embodiment, the first channel information block comprises a channel matrix.

[0144] As an embodiment, the first channel information block comprises at least one of eigenvalues or eigenvectors of a channel.

[0145] As an embodiment, the first channel information block comprises confidence information.

[0146] As an embodiment, the first channel information block comprises beam information.

[0147] As an embodiment, the first channel information block comprises at least one of a PMI (Precoding Matrix Indicator), a CRI (CSI-RS Resource Indicator), a CQI (Channel quality indicator), a RI (Rank Indicator), a LI (Layer Indicator), a SSBRI (SS / PBCH Block Resource indicator), a RSRP, a SINR (signal-to-noise and interference ratio), a capability index, TDCP (Time domain channel properties), or confidence information.

[0148] As an embodiment, the first channel information block is based on non-codebook.

[0149] As one embodiment, the first channel information block includes a resource indication used to indicate a beam or a RS (reference signal) resource.

[0150] As one embodiment, the first channel information block includes at least one of a resource indication used to indicate a beam or a RS resource or a RSRP (reference signal received power).

[0151] As one embodiment, the beam information includes a resource indication used to indicate a beam or a RS resource.

[0152] As one embodiment, the beam information includes at least one of a resource indication used to indicate a beam or a RS resource or a RSRP (reference signal received power).

[0153] As one embodiment, the resource indication is used to indicate one of a beam, a CSI-RS resource or a synchronization signal resource.

[0154] As one embodiment, the resource indication is a CRI (CSI-RS Resource Indicator) or a SS / PBCH block resource indication (SSBRI).

[0155] As one embodiment, the synchronization signal resource includes at least a resource occupied by a synchronization signal.

[0156] As one embodiment, the synchronization signal resource is a SSB (Synchronization Signal Block).

[0157] As one embodiment, the synchronization signal resource is a SS / PBCH (synchronization signal / physical broadcast channel) block resource.

[0158] As one embodiment, the reporting configuration of the first channel information block indicates a first resource set including at least one RS resource used for measurement of the first channel information block; and the first channel information block indicates at least one RS resource in the first resource set.

[0159] As an embodiment, the reporting configuration of the first channel information block indicates a first resource set, the first resource set comprising at least one RS resource used for measurement of the first channel information block; the first channel information block indicates at least one resource in a second resource set, the second resource set comprising resources not belonging to the first resource set.

[0160] As an embodiment, the generation of the first channel information block occupies one or more processing resources in only one of the two resource groups.

[0161] In the above method, when selecting the processing resource occupied by the generation of the first channel information block, only M1 unoccupied processing resources in the same resource group are considered for the generation of the first channel information block.

[0162] As an embodiment, the above method has the advantage of minimizing the occupied resource group, thereby improving resource utilization.

[0163] As an embodiment, the above method has the advantage of saving energy consumption.

[0164] As an embodiment, the above method has the advantage of avoiding interaction between resource groups.

[0165] As an embodiment, the above method has the advantage of improving processing speed.

[0166] As an embodiment, the above method has the advantage of simplifying design.

[0167] As an embodiment, the above method has the advantage of being easier to implement.

[0168] As an embodiment, the M1 is a default value.

[0169] As an embodiment, the M1 is predefined.

[0170] As an embodiment, the M1 is configurable.

[0171] As an embodiment, the M1 is 1.

[0172] As an embodiment, the M1 is a positive integer greater than 1.

[0173] As an embodiment, the M1 is 1 or a positive integer greater than 1.

[0174] As an embodiment, the M1 is the total number of processing resources occupied by the generation of the first channel information block.

[0175] As an embodiment, the M1 is a total number of processing resources required for the generation of the first channel information block.

[0176] As an embodiment, the generation of the first channel information block comprises: calculation of the first channel information block.

[0177] As an embodiment, the generation of the first channel information block comprises: the first node derives the first channel information block based on inference output.

[0178] As an embodiment, the generation of the first channel information block comprises: the first channel information block is calculated or generated by artificial intelligence or machine learning.

[0179] As an embodiment, the generation of the first channel information block comprises: the first node performs a first operation, and the first channel information block depends on an output of the first operation.

[0180] As an embodiment, a higher layer parameter is used to indicate the M1.

[0181] As an embodiment, the first node reports the M1.

[0182] As an embodiment, the first information block indicates the M1.

[0183] As an embodiment, the benefits of the above method include: simplified design, better adaptation to various different application scenarios or terminals, and good flexibility.

[0184] As an embodiment, the generation of the first channel information block corresponds to a first identifier, and the M1 depends on the first identifier.

[0185] As an embodiment, the benefits of the above method include: better adaptation to various different application scenarios or terminals, and good flexibility and adaptability.

[0186] As an embodiment, the M1 depending on the first identifier comprises: the M1 is configured to the first identifier.

[0187] As an embodiment, the M1 depending on the first identifier comprises: the first node reports the M1 for the first identifier.

[0188] As an embodiment, the M1 depending on the first identifier comprises: the first identifier is one of Q1 identifiers, the Q1 identifiers respectively correspond to Q1 positive integers, and Q1 is a positive integer greater than 1; the M1 is a positive integer corresponding to the first identifier among the Q1 positive integers.

[0189] As an embodiment, the M1 depends on the first identity comprises: the first identity is one of Q3 identities, the Q3 identities respectively correspond to Q3 non-negative integers, Q3 is a positive integer greater than 1; the M1 is a positive integer corresponding to the first identity in the Q3 non-negative integers.

[0190] As an embodiment, the reporting configuration of the first channel information block indicates the M1.

[0191] As an embodiment, the above method has the benefits of simplifying the design, and can flexibly indicate the resources required for generating the first channel information block.

[0192] As an embodiment, the M1 depends on the reporting quantity included in the first channel information block.

[0193] As an embodiment, the M1 depends on the reporting quantity included in the first channel information block comprises: the M1 is configured to the reporting quantity included in the first channel information block.

[0194] As an embodiment, the M1 depends on the reporting quantity included in the first channel information block comprises: for the reporting quantity included in the first channel information block, the first node reports the M1.

[0195] As an embodiment, the M1 depends on the reporting quantity included in the first channel information block comprises: the first channel information block includes one of T1 reporting quantities, the T1 reporting quantities respectively correspond to T1 positive integers, T1 is a positive integer greater than 1; the M1 is a positive integer corresponding to the reporting quantity included in the first channel information block in the T1 positive integers.

[0196] As an embodiment, the M1 depends on the reporting quantity included in the first channel information block comprises: the first channel information block includes one of T2 reporting quantities, the T2 reporting quantities respectively correspond to T2 non-negative integers, T2 is a positive integer greater than 1; the M1 is a positive integer corresponding to the reporting quantity included in the first channel information block in the T2 non-negative integers.

[0197] As an embodiment, the reporting quantity in the present application comprises at least one of resource indication, RSRP (reference signal received power), or channel information.

[0198] As an embodiment, the reporting quantity in the present application comprises one or more of resource indication, RSRP, PMI, CQI, RI, LI, SINR, capability index, TDCP, channel information, beam information, or confidence information.

[0199] As an embodiment, the reporting quantity in the present application comprises one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, TDCP, predicted channel information, predicted beam information, or confidence information.

[0200] As an embodiment, the benefit of the above method comprises better adaptation to various reporting quantities, with good flexibility.

[0201] As an embodiment, the first identifier is a non-negative integer.

[0202] As an embodiment, the first identifier is a string.

[0203] As an embodiment, the first identifier is used to identify at least one processing resource.

[0204] As an embodiment, the first identifier is used to identify at least one storage resource and at least one processing resource.

[0205] As an embodiment, the first identifier is used to identify a resource group, and the resource group comprises at least one processing resource.

[0206] As an embodiment, the first resource group is the resource group in the two resource groups corresponding to the first identifier comprises: the first resource group is the resource group in the two resource groups identified by the first identifier.

[0207] As an embodiment, the first identifier is used to identify one of the two resource groups.

[0208] As an embodiment, the first identifier is used to identify the reporting quantity included in the first channel information block.

[0209] As an embodiment, the first identifier is different from the reporting configuration identifier of the first channel information block.

[0210] As an embodiment, the first identifier is used to identify an AI model.

[0211] As an embodiment, the first identifier is used by the first node to determine an AI model.

[0212] As an embodiment, the first identifier is used by the first node to determine the AI model used by the first operation.

[0213] As an embodiment, the first identifier is used to identify an AI entity.

[0214] As an embodiment, the first identity is used to identify an AI function.

[0215] As an embodiment, the benefit of the above method includes that the design is simplified and the understanding of different AI entities or functions is unified among multiple nodes by identifying an AI model / entity / function through the first identity.

[0216] As an embodiment, the first identity is used to identify or indicate a resource set.

[0217] As an embodiment, the first identity is used to identify or indicate a resource set, and the measurement of the one resource set is used to obtain a training data set.

[0218] As an embodiment, the first identity is used to identify or indicate a resource set, and the resource set identified or indicated by the first identity includes one or more RS resources.

[0219] As an embodiment, the first identity is used to identify or indicate a training data set.

[0220] As an embodiment, the benefit of the above method includes that the design is further simplified by establishing a consensus among different AI functions through identifying an AI training or an AI training data set and identifying the inference generated by this AI training or AI training data set.

[0221] As an embodiment, the first resource group is the resource group corresponding to the first identity in the two resource groups, and the first information block indicates that the first resource group corresponds to the first identity.

[0222] As an embodiment, the first resource group is the resource group corresponding to the first identity in the two resource groups, and the second information block indicates that the first resource group corresponds to the first identity.

[0223] As an embodiment, the first resource group is the resource group corresponding to the first identity in the two resource groups, and the third information block indicates that the first resource group corresponds to the first identity.

[0224] As an embodiment, the first resource group is the resource group corresponding to the first identity in the two resource groups, and the first node reports that the first resource group corresponds to the first identity.

[0225] As an embodiment, the first resource group is the resource group corresponding to the first identity in the two resource groups, and the second node indicates that the first resource group corresponds to the first identity.

[0226] As an embodiment, the first resource group is the resource group among the two resource groups corresponding to the first identity, and the first resource group corresponding to the first identity is indicated by higher layer signaling.

[0227] As an embodiment, the first resource group is the resource group among the two resource groups corresponding to the first identity, and the first resource group corresponding to the first identity is indicated by MAC CE.

[0228] As an embodiment, the first resource group is the resource group among the two resource groups corresponding to the first identity, and the first resource group corresponding to the first identity is indicated by physical layer signaling.

[0229] As an embodiment, the first resource group is the resource group among the two resource groups corresponding to the first identity, and the information indicating the first resource group corresponding to the first identity is carried in a physical layer channel.

[0230] Embodiment 2

[0231] Embodiment 2 illustrates a schematic diagram of a network architecture according to an embodiment of the present application, as shown in FIG. 2.

[0232] FIG. 2 illustrates a network architecture 200. The network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or the network architecture 200 is a 5G+ network architecture, or the network architecture 200 is a 6G network architecture, or the network architecture 200 is a network architecture adopted in 3GPP future continued evolution; the network architecture 200 can be referred to as 5GS (5G System) / EPS (Evolved Packet System), or the network architecture 200 can be referred to as 6GS (6G System); the network architecture 200 includes a UE (User Equipment) 201, a RAN (Radio Access Network) 202, a core network 210, a HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and at least one of an Internet service 230. The network architecture 200 can be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As illustrated, the network architecture 200 provides packet-switched services, however, those skilled in the art will readily appreciate that the various concepts presented throughout this application are amenable to use with networked systems including, but not limited to, other cellular systems, wireless or wired packet-switched network systems, or other mobile communication systems. The RAN includes a node 203. The RAN can also include other nodes 204. The node 203 provides user and control plane protocol terminations toward the UE 201. The node 203 can be connected to the other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. The node 203 can also be referred to as a base station, a base transceiver station, a radio base station, a radio transceiver, a transceiver function, a basic service set (BSS), an extended service set (ESS), a TRP (Transmit Receive Point), or some other suitable terminology. The core network 210 is a 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is a 6GC; the node 203 provides an access point to the core network 210 for the UE 201.Examples of a UE 201 include a cellular phone, a smart phone, a session initiation protocol (SIP) phone, a laptop, a personal digital assistant (PDA), a satellite radio, a non-tethered base station communication, a satellite mobile communication, a global positioning system, a multimedia device, a video device, a digital audio player (e.g., MP3 player), a camera, a game console, a drone, a flying vehicle, a narrowband internet of things device, a machine type communication device, a land vehicle, a car, a wearable device, or any other similar functional device. Those skilled in the art will also The node 203 is connected by an S1 / NG interface to the core network 210. The core network 210 includes a MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF 214, a S-GW (Service Gateway) / UPF (User Plane Function) 212, and a P-GW (Packet Date Network Gateway) / UPF 213. The MME / AMF / SMF 211 is a control node that handles signaling between the UE 201 and the core network 210. Generally, the MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocal) packets are transferred through the S-GW / UPF 212, which itself is connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation as well as other functions. The P-GW / UPF 213 is connected to the Internet services 230. The Internet services 230 include operator corresponding Internet protocol services, which can specifically include the Internet, an intranet, an IMS (IP Multimedia Subsystem), and a packet switching service.

[0233] As one embodiment, the first node comprises the UE 201.

[0234] As one embodiment, the second node comprises the node 203.

[0235] As one embodiment, the wireless link between the UE 201 and the node 203 comprises a cellular network link.

[0236] As one embodiment, the sender of the second information block comprises the node 203.

[0237] As one embodiment, the first node transmits a first information block, the sender of the first information block comprising the UE 201.

[0238] As one embodiment, the first node receives a first information block, the sender of the first information block comprising the node 203.

[0239] As one embodiment, the first set of resources comprises one or more RS resources, the sender of the reference signal in the first set of resources comprising the node 203.

[0240] As one embodiment, the first set of resources comprises one or more RS resources, the target receiver of the reference signal in the first set of resources comprising the UE 201.

[0241] As one embodiment, the second set of resources comprises one or more RS resources, the sender of the reference signal in the second set of resources comprising the node 203.

[0242] As one embodiment, the second set of resources comprises one or more RS resources, the target receiver of the reference signal in the second set of resources comprising the UE 201.

[0243] As one embodiment, the two resource groups are in the UE 201.

[0244] As one embodiment, the generation of the first channel information block is in the UE 201.

[0245] As one embodiment, the sender of the first channel information block comprises the UE 201.

[0246] As one embodiment, the target receiver of the first channel information block comprises the node 203.

[0247] As one embodiment, the target receiver of the second information block comprises the UE 201.

[0248] As one embodiment, the sender of the second information block comprises the node 203.

[0249] As one embodiment, the target receiver of the third information block comprises the UE 201.

[0250] As an embodiment, the sender of the third information block comprises the node 203.

[0251] Embodiment 3

[0252] Embodiment 3 illustrates a schematic diagram of an embodiment of a radio protocol architecture for the user plane and control plane according to an embodiment of the present application, as shown in Figure 3.

[0253] Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300, Figure 3 showing three layers of the radio protocol architecture for the control plane 300 between a first communication node device (UE, gNB or RSU in V2X) and a second communication node device (gNB, UE or RSU in V2X), or between two UEs: Layer 1, Layer 2, and Layer 3. Layer 1 (LI layer) is the lowest layer and implements various PHY (Physical layer) signal processing functions. The LI layer will be referred to as the PHY 301 herein. Layer 2 (L2 layer) 305 is above the PHY 301 and is responsible for the link between the first communication node device and the second communication node device, or between two UEs. The L2 layer 305 includes a MAC (Medium Access Control) sublayer 302, a RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate the functions of the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sublayer 304 also provides security functions, such as ciphering of the data packets, and header compression. The RLC sublayer 303 provides segmentation and reassembly of upper layer data packets, retransmission of lost data packets, and reordering of data packets to compensate for out-of-order reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating the various radio resources (e.g., resource blocks) in one cell among the UEs. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in Layer 3 (L3 layer) in the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and the use of RRC signaling between the second communication node device and the first communication node device for configuring the lower layers. The radio protocol architecture for the user plane 350 includes Layer 1 (LI layer) and Layer 2 (L2 layer), which are substantially the same as the corresponding layers and sublayers in the control plane 300 for the physical layer 351, the PDCP sublayer 354 in the L2 layer 355, the RLC sublayer 353 in the L2 layer 355, and the MAC sublayer 352 in the L2 layer 355 for the first communication node device and the second communication node device, but the PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead.The L2 layer 355 in the user plane 350 also includes a SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for the mapping between a QoS flow and a data radio bearer (DRB) to support the diversity of services. Although not illustrated, the first communication node device can have several upper layers above the L2 layer 355, including a network layer (e.g., IP layer) that terminates at a P-GW on the network side and an application layer that terminates at the other end of the connection (e.g., a remote UE, a server, etc.).

[0254] As one embodiment, the wireless protocol architecture in FIG. 3 is applicable to the first node.

[0255] As one embodiment, the wireless protocol architecture in FIG. 3 is applicable to the second node.

[0256] As one embodiment, the higher layer in this application refers to a layer above the physical layer.

[0257] As one embodiment, the first information block is generated at the RRC sublayer 306.

[0258] As one embodiment, the first channel block is generated at the PHY 301 or the PHY 351.

[0259] As one embodiment, the first channel block is generated at the MAC sublayer 302 or the MAC sublayer 352.

[0260] As one embodiment, the second information block is generated at the RRC sublayer 306.

[0261] As one embodiment, the third information block is generated at the RRC sublayer 306.

[0262] As one embodiment, the first resource set includes one or more RS resources, and the reference signal in the first resource set is generated at the PHY 301 or the PHY 351.

[0263] As one embodiment, the second resource set includes one or more RS resources, and the reference signal in the second resource set is generated at the PHY 301 or the PHY 351.

[0264] As one embodiment, the first channel information block is generated at the PHY 301 or the PHY 351.

[0265] As one embodiment, the first channel information block is generated at the MAC sublayer 302 or the MAC sublayer 352.

[0266] Embodiment 4

[0267] Embodiment 4 illustrates a schematic diagram of a first communication device and a second communication device according to one embodiment of the present application, as shown in FIG. 4. FIG. 4 is a block diagram of a first communication device 410 and a second communication device 450 communicating with each other in an access network.

[0268] The first communication device 410 includes a controller / processor 475, a memory 476, a receive processor 470, a transmit processor 416, a multiple antenna receive processor 472, a multiple antenna transmit processor 471, a transmitter / receiver 418, and an antenna 420.

[0269] The second communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmit processor 468, a receive processor 456, a multiple antenna transmit processor 457, a multiple antenna receive processor 458, a transmitter / receiver 454, and an antenna 452.

[0270] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, upper layer packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements functionality of the L2 layer. In the DL (DownLink), the controller / processor 475 provides header compression, ciphering, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocations for the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the LI layer (i.e., physical layer). The transmit processor 416 implements coding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, and constellation mapping based on various modulation schemes (e.g., binary phase-shift keying (BPSK), quadrature phase-shift keying (QPSK), M-phase-shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The multi-antenna transmit processor 471 performs digital spatial pre-coding of the coded and modulated symbols, including codebook-based and non-codebook-based pre-coding, and beamforming processing, generating one or more parallel streams. The transmit processor 416 then maps to each parallel stream to subcarriers, multiplexes the modulated symbols with reference signals (e.g., pilot) in time domain and / or frequency domain, and then performs an inverse fast Fourier transform (IFFT) to generate a time-domain multicarrier symbol stream. The multi-antenna transmit processor 471 then performs transmit analog pre-coding / beamforming operations on the time-domain multicarrier symbol stream. Each transmitter 418 converts the baseband multicarrier symbol stream provided by the multi-antenna transmit processor 471 into a radio frequency stream, and then provides the radio frequency stream to the corresponding antenna 420.

[0271] In transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives a signal through its respective antenna 452. Each receiver 454 recovers information modulated onto an RF carrier and converts the RF stream into a baseband, multicarrier symbol stream to be provided to a receive processor 456. The receive processor 456 and a multiple access receive processor 458 implement various signal processing functions of the Ll layer. The multiple access receive processor 458 performs receive analog precoding / beamforming operations on the baseband, multicarrier symbol stream from the receivers 454. The receive processor 456 converts the baseband, multicarrier symbol stream from the receive analog precoding / beamforming operations from the time domain to the frequency domain using a Fast Fourier Transform (FFT). In the frequency domain, the physical layer data signals and the reference signals are demultiplexed by the receive processor 456, with the reference signals to be used for channel estimation and the data signals to be recovered after multi-antenna detection in the multiple access receive processor 458 for any parallel streams destined to the second communication device 450. The symbols on each parallel stream are demodulated and recovered in the receive processor 456 and generate soft decisions. The receive processor 456 then decodes and de-interleaves the soft decisions to recover the upper layer data and control signals transmitted by the first communication device 410 on the physical channels. The upper layer data and control signals are then provided to a controller / processor 459. The controller / processor 459 implements the functions of the L2 layer. The controller / processor 459 can be associated with a memory 460 that stores program codes and data. The memory 460 can be referred to as a computer readable medium. In the DL, the controller / processor 459 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer data packets from the core network. The upper layer data packets are then provided to all protocol layers above the L2 layer. Various control signals can also be provided to the L3 for L3 processing. The controller / processor 459 is also responsible for error detection using an acknowledgement (ACK) and / or negative acknowledgement (NACK) protocol to support HARQ operations.

[0272] In the transmission from the second communication device 450 to the first communication device 410, at the second communication device 450, a data source 467 is used to provide upper layer packets to a controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmit function described at the first communication device 410 in the DL, the controller / processor 459 implements header compression, ciphering, packet segmentation and reordering, and multiplexing between logical and transport channels based on radio resource allocations for the first communication device 410, implements L2 layer functionality for the user plane and control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. A transmit processor 468, in conjunction with a multi-antenna transmit processor 457, performs modulation mapping, channel coding processing, digital multi-antenna spatial processing, including codebook-based and non-codebook-based precoding, and beamforming processing, and then the transmit processor 468 creates parallel streams of coded and modulated symbols for the different antenna ports, which are provided to different antennas 452 via separate transmitters 454 after analog precoding / beamforming at the multi-antenna transmit processor 457. Each transmitter 454 then converts the baseband streams into radio frequency signals and transmits the radio frequency signals via the antennas 452.

[0273] In the transmission from the second communication device 450 to the first communication device 410, the functionality at the first communication device 410 is similar to the functionality described in connection with the reception at the second communication device 450 in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives a radio frequency signal through its respective antenna 420, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to a multi-antenna receive processor 472 and a receive processor 470. The receive processor 470 and the multi-antenna receive processor 472, in conjunction with the controller / processor 475, implement the L1 layer functions. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 can be associated with a memory 476 that stores program codes and data. The memory 476 can be referred to as a computer-readable medium. The controller / processor 475 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer packets from the second communication device 450. Upper layer packets from the controller / processor 475 can be provided to a core network. The controller / processor 475 is also responsible for error detection using an ACK and / or NACK protocol to support HARQ operations.

[0274] As one embodiment, the second communication device 450 comprises: at least one processor and at least one memory including computer program code; the at least one memory and the computer program code configured to, with the at least one processor, cause the performance of the following actions. The second communication device 450 is caused to perform at least the following: transmitting or receiving a first information block; the first information block being used to indicate two resource groups, the two resource groups each comprising at least one processing resource; transmitting a first channel information block; wherein the generation of the first channel information block corresponds to a first identity; only one of the two resource groups corresponding to the first identity; the generation of the first channel information block occupying M1 processing resources, M1 being a positive integer; the M1 processing resources belonging to the resource group of the two resource groups corresponding to the first identity.

[0275] As one embodiment, the second communication device 450 comprises: a memory storing a computer readable program of instructions which, when executed by at least one processor, causes the performance of the following actions. The actions comprise: transmitting or receiving a first information block; the first information block being used to indicate two resource groups, the two resource groups each comprising at least one processing resource; transmitting a first channel information block; wherein the generation of the first channel information block corresponds to a first identity; only one of the two resource groups corresponding to the first identity; the generation of the first channel information block occupying M1 processing resources, M1 being a positive integer; the M1 processing resources belonging to the resource group of the two resource groups corresponding to the first identity.

[0276] As one embodiment, the first communication device 410 comprises: at least one processor and at least one memory including computer program code; the at least one memory and the computer program code configured to, with the at least one processor, cause the performance of the following actions. The first communication device 410 is caused to perform at least the following: receiving or transmitting a first information block; the first information block being used to indicate two resource groups, the two resource groups each comprising at least one processing resource; receiving a first channel information block; wherein the generation of the first channel information block corresponds to a first identity; only one of the two resource groups corresponding to the first identity; the generation of the first channel information block occupying M1 processing resources, M1 being a positive integer; the M1 processing resources belonging to the resource group of the two resource groups corresponding to the first identity.

[0277] As an embodiment, the first communication device 410 comprises: a memory storing a computer readable program of instructions which, when executed by at least one processor, results in actions comprising: receiving a first information block, or transmitting a first information block; the first information block being used to indicate two groups of resources, the two groups of resources each comprising at least one processing resource; receiving a first channel information block; wherein the generation of the first channel information block corresponds to a first identity; only one of the two groups of resources corresponds to the first identity; the generation of the first channel information block occupies M1 processing resources, M1 being a positive integer; the M1 processing resources belong to the group of resources corresponding to the first identity among the two groups of resources.

[0278] As an embodiment, the first node in the present application comprises the second communication device 450.

[0279] As an embodiment, the second node in the present application comprises the first communication device 410.

[0280] As an embodiment, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, the data source 467} is used to receive the second information block in the present application; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, the memory 476} is used to transmit the second information block in the present application.

[0281] As an embodiment, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, the data source 467} is used to receive the third information block in the present application; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, the memory 476} is used to transmit the third information block in the present application.

[0282] As an embodiment, at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is configured to receive the first information block in the application; at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, the memory 476} is configured to transmit the first information block in the application.

[0283] As an embodiment, at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the controller / processor 459, the memory 460, the data source 467} is configured to transmit the first information block in the application; at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the controller / processor 475, the memory 476} is configured to receive the first information block in the application.

[0284] As an embodiment, at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is configured to receive the first information block in the application; at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, the memory 476} is configured to transmit the first information block in the application.

[0285] As an embodiment, at least one of {the antenna 452, the transmitter / receiver 454, the transmit processor 468, the multi-antenna transmit processor 457, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is configured to perform the generation of the first channel information block in the application.

[0286] As an embodiment, at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is used to send the first channel information block in the present application; at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, the memory 476} is used to receive the first channel information block in the present application.

[0287] Embodiment 5

[0288] Embodiment 5 illustrates a flow chart of transmission according to an embodiment of the present application; as shown in FIG. 5. In FIG. 5, the second node N1 and the first node U1 are communication nodes of transmission through an air interface. In FIG. 5, the steps in the block F50 to the block F53 are optional respectively, wherein only one of the block F50 and the block F52 exists.

[0289] For the second node N1, the first information block is received in the step S511; the third information block is sent in the step S512; the first information block is sent in the step S5101; the second information block is sent in the step S513; the first channel information block is received in the step S514.

[0290] For the first node U1, the first information block is sent in the step S521; the third information block is received in the step S522; the first information block is received in the step S5201; the second information block is received in the step S523; the first channel information block is sent in the step S524.

[0291] In embodiment 5, the first information block is used to indicate two resource groups, the two resource groups both include at least one processing resource; the generation of the first channel information block corresponds to a first identification; only one of the two resource groups corresponds to the first identification; the generation of the first channel information block occupies M1 processing resources, M1 is a positive integer; the M1 processing resources belong to the resource group corresponding to the first identification in the two resource groups. The second information block includes the reporting configuration of the first channel information block.

[0292] As an embodiment, the block F52 exists, the blocks F50 and F51 do not exist.

[0293] As an embodiment, the block F50 exists, the block F51 is optional, and the block F52 does not exist.

[0294] As one embodiment, block F50 is present, F51 is present, and block F52 is not present.

[0295] As one embodiment, block F50 is present, F51 is not present, and block F52 is not present.

[0296] As one embodiment, the second information block comprises reporting configuration of L channel information blocks, the first channel information block is one of the L channel information blocks, and L is a positive integer greater than 1.

[0297] As one embodiment, the first node transmits the first information block, and the second node receives the first information block.

[0298] As one embodiment, the second node transmits the first information block, and the first node receives the first information block.

[0299] As one embodiment, the first node U1 is the first node in the present application.

[0300] As one embodiment, the second node N1 is the second node in the present application.

[0301] As one embodiment, the air interface between the second node N1 and the first node U1 comprises a wireless interface between a base station device and a user equipment.

[0302] As one embodiment, the air interface between the second node N1 and the first node U1 comprises a wireless interface between a relay node device and a user equipment.

[0303] As one embodiment, the air interface between the second node N1 and the first node U1 comprises a wireless interface between a user equipment and a user equipment.

[0304] As one embodiment, the second node N1 is a serving cell maintaining base station of the first node U1.

[0305] As one embodiment, the first node performs a first operation, and the first channel information block depends on an output of the first operation.

[0306] As one embodiment, the first node deploys the first operation.

[0307] As one embodiment, the deploying the first operation comprises obtaining the first operation.

[0308] As one embodiment, the deploying the first operation comprises loading the first operation.

[0309] As one embodiment, the deploying the first operation comprises making a request to load the first operation.

[0310] As one embodiment, the first operation is for CSI prediction, beam prediction, or CSI compression.

[0311] As one embodiment, the first operation is for beam prediction or CSI prediction.

[0312] As one embodiment, the first node performs a first operation, and the second node performs a second operation.

[0313] As one embodiment, the second node performs a second operation; wherein the first node performs a first operation, an output of the first operation includes a first CSI, the first channel information block carries the first CSI, and the first CSI is used by the second node as an input of the second operation to generate a second CSI.

[0314] As one embodiment, the second node deploys a second operation.

[0315] As one embodiment, the deploying a second operation includes obtaining the second operation.

[0316] As one embodiment, the deploying a second operation includes loading the second operation.

[0317] As one embodiment, the deploying a second operation includes making a request to load the second operation.

[0318] As one embodiment, the first operation is for CSI compression, and the second operation is for CSI recovery.

[0319] As one embodiment, an output of the first operation includes a first CSI, the first channel information block carries the first CSI, and the first CSI is used by the second node as an input of the second operation to generate a second CSI.

[0320] As one embodiment, the two resource groups are in the first node.

[0321] As one embodiment, the two resource groups are in the first processor.

[0322] As one embodiment, the first node transmits a first information block, and the first information block is carried by higher layer signaling.

[0323] As one embodiment, the first node transmits a first information block, and the first information block is carried by physical layer signaling.

[0324] As one embodiment, the first node transmits a first information block, and the first information block includes a MAC CE.

[0325] As one embodiment, the first node transmits the first information block, the first information block being transmitted on a physical layer channel.

[0326] As one embodiment, the first node receives the first information block, the first information block being carried by higher layer signaling.

[0327] As one embodiment, the first node receives the first information block, the first information block being carried by physical layer signaling.

[0328] As one embodiment, the first node receives the first information block, the first information block comprising a MAC CE.

[0329] As one embodiment, the first node receives the first information block, the first information block being transmitted on a physical layer channel.

[0330] As one embodiment, the first information block is used to indicate two resource groups in the first node.

[0331] As one embodiment, any of the two resource groups consists of at least one processing resource.

[0332] As one embodiment, any of the two resource groups comprises at least one processing resource and at least one storage resource.

[0333] As one embodiment, any of the two resource groups consists of at least one processing resource and at least one storage resource.

[0334] As one embodiment, the two resource groups respectively comprise different number of processing resources.

[0335] As one embodiment, the two resource groups respectively comprise the same number of processing resources.

[0336] As one embodiment, the two resource groups respectively comprise different number of storage resources.

[0337] As one embodiment, the two resource groups respectively comprise the same number of storage resources.

[0338] As one embodiment, one of the two resource groups comprises one processing resource, and the other of the two resource groups comprises more than one processing resource.

[0339] As one embodiment, any of the two resource groups comprises more than one processing resource.

[0340] As one embodiment, any of the two resource groups comprises one processing resource.

[0341] As one embodiment, any of the two resource groups comprises one storage resource.

[0342] As one embodiment, any of the two resource groups comprises more than one storage resource.

[0343] As one embodiment, any of the two resource groups comprises one processing resource and one storage resource.

[0344] As one embodiment, any of the two resource groups comprises more than one processing resource and one storage resource.

[0345] As one embodiment, any of the two resource groups comprises more than one processing resource and more than one storage resource.

[0346] As one embodiment, the first node transmits a first information block, the first information block belonging to capability information of the first node.

[0347] As one embodiment, the first node transmits a first information block, the first information block comprising capability information of the first node.

[0348] As one embodiment, the first node transmits a first information block, the first information block comprising one or more capability parameters of the first node.

[0349] As one embodiment, the first node transmits a first information block, the first information block comprising one or more fields in one or more UE(user equipment) capability IE(information element).

[0350] As one embodiment, the first node transmits a first information block, the first information block comprising one or more parameters in one or more UE(user equipment) capability IE.

[0351] As one embodiment, the first node transmits a first information block, the first node transmitting capability information of the first node after receiving a UE capability enquiry (UECapabilityEnquiry) from a network, the first information block belonging to the capability information of the first node.

[0352] As one embodiment, the capability information of the first node comprises UECapabilityInformation.

[0353] As one embodiment, the capability information of the first node comprises radio access capability of the first node.

[0354] As one embodiment, the first information block is used to indicate two resource groups comprises: the first information block indicates that the number of the resource groups is 2.

[0355] As one embodiment, the first information block is used to indicate two resource groups comprises: the first information block indicates that the number of the resource groups is 2.

[0356] As one embodiment, the first information block is used to indicate two resource groups comprises: the first information block indicates a maximum number of the resource groups, the maximum number of the resource groups is equal to or greater than 2.

[0357] As one embodiment, the two resource groups respectively comprise a same number of the processing resources; the first information block is used to indicate two resource groups comprises: the first information block indicates at least one of a total number of the processing resources within one of the two resource groups, or that the number of the resource groups is 2.

[0358] As one embodiment, the first information block is used to indicate two resource groups comprises: the first information block indicates at least one of a maximum number of the resource groups, or a maximum number of the processing resources within the resource groups, the maximum number of the resource groups is equal to or greater than 2.

[0359] As one embodiment, the first information block is used to indicate two resource groups comprises: the first information block indicates at least one of a number of the processing resources that the two resource groups respectively comprise, or that the number of the resource groups is 2.

[0360] As one embodiment, the first information block is used to indicate two resource groups comprises: the first information block indicates at least one of a total number of the processing resources, or that the number of the resource groups is 2.

[0361] As one embodiment, the first information block is used to indicate two resource groups comprises: the first information block indicates at least one of a maximum number of the processing resources, or a maximum number of the resource groups; the maximum number of the resource groups is equal to or greater than 2.

[0362] As one embodiment, a number of the processing resources within each of the two resource groups is equal to a positive integer obtained by dividing a total number of the processing resources by 2; the first information block is used to indicate two resource groups comprises: the first information block indicates at least one of the total number of the processing resources, or that the number of the resource groups is 2.

[0363] As one embodiment, the first information block is used to indicate two resource groups comprises: the first information block indicates at least one of the maximum number of the processing resources or the maximum number of the resource groups; the number of the processing resources in each of the two resource groups is equal to or less than a positive integer obtained by dividing the maximum number of the processing resources by the maximum number of the resource groups.

[0364] As one embodiment, the first information block is used to indicate two resource groups comprises: the first information block is used to indicate J resource groups, the two resource groups belong to the J resource groups, and J is a positive integer greater than 2.

[0365] As one embodiment, the first information block is used to indicate J resource groups comprises: the first information block indicates the J.

[0366] As one embodiment, the first information block is used to indicate J resource groups comprises: the first information block indicates the maximum number of the resource groups, and the J is equal to or less than the maximum number of the resource groups.

[0367] As one embodiment, the J resource groups respectively include the same number of the processing resources; the first information block is used to indicate J resource groups comprises: the first information block indicates at least one of the number of the processing resources in one of the J resource groups or the J.

[0368] As one embodiment, the first information block is used to indicate J resource groups comprises: the first information block indicates at least one of the maximum number of the resource groups or the maximum number of the processing resources in the resource groups, and the J is equal to or less than the maximum number of the resource groups.

[0369] As one embodiment, the first information block is used to indicate J resource groups comprises: the first information block indicates at least one of the number of the processing resources respectively included in the J resource groups or the J.

[0370] As one embodiment, the first information block is used to indicate J resource groups comprises: the first information block indicates at least one of the total number of the processing resources or the J.

[0371] As one embodiment, the first information block is used to indicate J resource groups comprises: the first information block indicates at least one of the maximum number of the processing resources or the maximum number of the resource groups; and the J is equal to or less than the maximum number of the resource groups.

[0372] As an embodiment, the number of the processing resources in each of the J resource groups is equal to an integer obtained by dividing the total number of the processing resources by the J; the first information block is used to indicate the J resource groups comprises: the first information block indicates at least one of the total number of the processing resources or the J.

[0373] As an embodiment, the first information block is used to indicate the J resource groups comprises: the first information block indicates at least one of the maximum number of the processing resources or the maximum number of the resource groups; the number of the processing resources in each of the J resource groups is equal to or less than an integer obtained by dividing the maximum number of the processing resources by the maximum number of the resource groups.

[0374] As an embodiment, the first receiver, the first information block is sent, the third information block is received; wherein, the third information block is carried by higher layer signaling.

[0375] As an embodiment, the method in the first node in the present application comprises: sending a first information block, receiving a third information block; wherein, the third information block is carried by higher layer signaling.

[0376] As an embodiment, the second processor in the present application sends a first information block, sends a third information block; wherein, the third information block is carried by higher layer signaling.

[0377] As an embodiment, the method in the second node in the present application comprises: sending a first information block, sending a third information block; wherein, the third information block is carried by higher layer signaling.

[0378] As an embodiment, the third information block is carried by higher layer signaling comprises: the third information block comprises one or more higher layer parameters.

[0379] As an embodiment, the third information block is carried by higher layer signaling comprises: the third information block comprises one or more domains in one or more RRC IEs.

[0380] As an embodiment, the third information block is carried by higher layer signaling comprises: the third information block comprises one or more higher layer parameters in one or more RRC IEs.

[0381] As an embodiment, the first node sends a first information block; the first information block is used to indicate two resource groups comprises: the third information block is used to indicate two resource groups, the information indicated by the third information block depends on the information indicated by the first information block.

[0382] As one embodiment, the first node sends a first information block; the first information block is used to indicate two resource groups comprises: the first information block indicates a maximum number of the resource groups, the third information block indicates the number of the resource groups is 2.

[0383] As one embodiment, the first node sends a first information block; the first information block is used to indicate two resource groups comprises: the first information block indicates a maximum number of the resource groups, the third information block indicates the number of the resource groups is 2, the maximum number of the resource groups is equal to or greater than 2.

[0384] As one embodiment, the first node sends a first information block; the first information block is used to indicate two resource groups comprises: the first information block indicates a maximum number of the processing resources within the resource groups; the two resource groups respectively include the same number of the processing resources; the third information block indicates the number of the processing resources within one of the two resource groups; the number of the processing resources within one of the two resource groups is equal to or less than the maximum number of the processing resources within the resource group.

[0385] As one embodiment, the first node sends a first information block; the first information block is used to indicate two resource groups comprises: the first information block indicates a maximum number of the processing resources within the resource groups; the third information block indicates the number of the processing resources respectively included by the two resource groups; the number of the processing resources within any one of the two resource groups is equal to or less than the maximum number of the processing resources within the resource group.

[0386] As one embodiment, the first node sends a first information block; the first information block is used to indicate two resource groups comprises: the first information block indicates a maximum number of the processing resources, the third information block indicates a total number of the processing resources, the total number of the processing resources is equal to or less than the maximum number of the processing resources.

[0387] As one embodiment, the first node sends a first information block; the first information block is used to indicate two resource groups comprises: the first information block indicates at least one of the maximum number of the processing resources or a maximum number of the resource groups; the third information block indicates at least one of a total number of the processing resources or the number of the resource groups is 2; the maximum number of the resource groups is equal to or greater than 2, the total number of the processing resources is equal to or less than the maximum number of the processing resources.

[0388] As one embodiment, the number of the processing resources within each of the two resource groups is equal to a positive integer resulting from dividing the total number of the processing resources by 2.

[0389] As one embodiment, the number of the processing resources within each of the two resource groups is equal to a positive integer resulting from dividing the maximum number of the processing resources by the maximum number of the resource groups.

[0390] As one embodiment, the first information block is used to indicate two resource groups comprises: the first information block is used to indicate J resource groups, the two resource groups belong to the J resource groups, J is a positive integer greater than 2.

[0391] As one embodiment, the first node sends a first information block; the first information block is used to indicate J resource groups comprises: the third information block is used to indicate J resource groups, the information indicated by the third information block depends on the information indicated by the first information block.

[0392] As one embodiment, the first node sends a first information block; the first information block is used to indicate J resource groups comprises: the first information block indicates the maximum value of the J, the third information block indicates the J.

[0393] As one embodiment, the first node sends a first information block; the first information block is used to indicate J resource groups comprises: the first information block indicates the maximum number of the resource groups, the third information block indicates the J, the J is equal to or less than the maximum number of the resource groups.

[0394] As one embodiment, the first node sends a first information block; the first information block is used to indicate J resource groups comprises: the first information block indicates the maximum number of the processing resources within the resource groups; the J resource groups respectively include the same number of the processing resources; the third information block indicates the number of the processing resources within one of the J resource groups; the number of the processing resources within one of the J resource groups is equal to or less than the maximum number of the processing resources within the resource group.

[0395] As one embodiment, the first node sends a first information block; the first information block is used to indicate J resource groups comprises: the first information block indicates the maximum number of the processing resources within the resource groups; the third information block indicates the number of the processing resources included by the J resource groups respectively; the number of the processing resources within one of the J resource groups is equal to or less than the maximum number of the processing resources within the resource group.

[0396] As one embodiment, the first node transmits a first information block; the first information block is used to indicate J groups of resources comprises: the first information block indicates at least one of the maximum number of processing resources, or the maximum number of the J groups of resources; the third information block indicates at least one of the total number of processing resources, or the J; the J is equal to or less than the maximum number of the J groups of resources, and the total number of processing resources is equal to or less than the maximum number of processing resources.

[0397] As one embodiment, the first node transmits a first information block; the first information block is used to indicate J groups of resources comprises: the first information block indicates at least one of the maximum number of processing resources, or the maximum number of the J groups of resources; the third information block indicates at least one of the total number of processing resources, or the J; the J is equal to or less than the maximum number of the J groups of resources, and the total number of processing resources is equal to or less than the maximum number of processing resources.

[0398] As one embodiment, the number of processing resources in each of the J groups of resources is equal to an integer obtained by dividing the total number of processing resources by the J.

[0399] As one embodiment, the number of processing resources in each of the J groups of resources is equal to an integer obtained by dividing the maximum number of processing resources by the maximum number of the J groups of resources.

[0400] As one embodiment, the second information block and the third information block are carried by higher layer signaling.

[0401] As one embodiment, the second information block and the third information block are carried by RRC signaling.

[0402] As one embodiment, the second information block and the third information block respectively include part or all of the fields in different RRC IEs.

[0403] As one embodiment, the second information block is carried by higher layer signaling.

[0404] As one embodiment, the second information block is carried by RRC (Radio Resource Control) signaling.

[0405] As one embodiment, the second information block includes part or all of the fields in one or more RRC IEs (Information Element).

[0406] As an embodiment, the second information block comprises L RRC IEs, each of which comprises reporting configuration of one of the L channel information blocks, the first channel information block being one of the L channel information blocks, L being a positive integer greater than 1.

[0407] As an embodiment, the second information block comprises one RRC IE, which comprises reporting configuration of L channel information blocks, the first channel information block being one of the L channel information blocks, L being a positive integer greater than 1.

[0408] As an embodiment, the reporting configuration of the first channel information block comprises part or all of the fields in one RRC IE.

[0409] As an embodiment, the second information block comprises multiple RRC IEs.

[0410] As an embodiment, the second information block comprises part or all of the fields in one or more RRC IEs.

[0411] As an embodiment, the second information block comprises part or all of the fields in one IE CSI-ReportConfig.

[0412] As an embodiment, the second information block comprises one or more IEs CSI-ReportConfig.

[0413] As an embodiment, the second information block comprises part or all of the fields in one or more IEs CSI-ReportConfig.

[0414] As an embodiment, the second information block comprises part or all of the fields in IE ServingCellConfig.

[0415] As an embodiment, the second information block comprises part or all of the fields in IE CSI-MeasConfig IE.

[0416] As an embodiment, the second information block comprises part or all of the fields in IE ServingCellConfigCommon IE.

[0417] As an embodiment, the second information block comprises part or all of the fields in IE ServingCellConfig.

[0418] As one embodiment, the reporting configuration of the first channel information block indicates at least one of a first resource set comprising one or more RS resources for at least one of channel measurement or interference measurement of the first channel information block, a reporting type, or a reporting quantity.

[0419] As one embodiment, the reporting configuration of the first channel information block indicates at least one of a first resource set comprising one or more RS resources for at least one of channel measurement or interference measurement of the first channel information block, a reporting type, or a reporting quantity.

[0420] As one embodiment, the reporting configuration of the first channel information block indicates at least one of a first resource set comprising one or more RS resources for at least one of channel measurement or interference measurement of the first channel information block, a reporting type, or a reporting quantity.

[0421] As one sub-embodiment of the above embodiment, the reporting type indicates at least one of periodic reporting, semi-persistent reporting, aperiodic reporting, or event-triggered reporting.

[0422] As one sub-embodiment of the above embodiment, the reporting type indicates at least one of periodic reporting, semi-persistent reporting, or aperiodic reporting.

[0423] As one embodiment, the first channel information block is one of periodic reporting, semi-persistent reporting, aperiodic reporting, or event-triggered reporting.

[0424] As one embodiment, the event-triggered reporting of the present application comprises UE initiated reporting.

[0425] As one embodiment, the reporting of a semi-persistent first channel information block is activated by a MAC CE.

[0426] As one embodiment, the reporting of an aperiodic first channel information block is triggered by a DCI.

[0427] As one embodiment, the reporting of an event-triggered first channel information block is triggered in case of certain event.

[0428] Embodiment 6

[0429] Embodiment 6 illustrates a diagram of a resource group corresponding to a first identity according to one embodiment of the present application; as shown in FIG. 6.

[0430] In Embodiment 6, the resource group corresponding to the first identity among the two resource groups includes at least Ml unoccupied processing resources.

[0431] Typically, the unoccupied processing resources include processing resources that have not been occupied when determining the processing resources for generating the first channel information block.

[0432] Typically, the unoccupied processing resources in the resource group refer to processing resources in the resource group other than all the already occupied resources.

[0433] As an embodiment, the unoccupied processing resources include the processing resources that have not been occupied in the first node.

[0434] As an embodiment, a processing resource being unoccupied includes that the processing resource has not been used for at least one of processing, calculation or inference.

[0435] As an embodiment, a processing resource being occupied includes that the processing resource has been used for at least one of processing, calculation or inference.

[0436] As an embodiment, a processing resource being occupied includes that a processing resource is not idle.

[0437] As an embodiment, a processing resource being unoccupied includes that a processing resource is idle.

[0438] As an embodiment, a processing resource being occupied includes that a processing resource has been used for at least one of calculation or inference.

[0439] As an embodiment, a processing resource being unoccupied includes that a processing resource has not been used for at least one of calculation or inference.

[0440] In the above method, there can be one or some processing resources in the resource group corresponding to the first identity that have been occupied, but the total number of unoccupied processing resources therein is not less than Ml, and then the Ml unoccupied processing resources can be used for the generation of the first channel information block.

[0441] Embodiments 7A-7B

[0442] Embodiments 7A-7B respectively illustrate a schematic diagram of the relationship between two resource groups and a first identity according to an embodiment of the present application; as shown in Figs. 7A-7B respectively, wherein the first resource group and the second resource group are the two resource groups.

[0443] In Embodiment 7A, the two resource groups correspond to two different identities respectively, the first identity is one of the two different identities.

[0444] As an embodiment, the two resource groups include a first resource group and a second resource group, the first resource group corresponds to a first identity, the second resource group corresponds to a second identity, and the first identity and the second identity are different.

[0445] As an embodiment, the first resource group is the resource group of the two resource groups corresponding to the first identity; the first resource group corresponding to the first identity includes that the first resource group includes at least one processing resource that has been occupied for the first identity.

[0446] As an embodiment, the first resource group is the resource group of the two resource groups corresponding to the first identity; the first resource group includes a plurality of processing resources and at least one storage resource; and the first resource group corresponding to the first identity includes that the first resource group includes at least one processing resource that has been occupied for the first identity.

[0447] As an embodiment, the first resource group is the resource group of the two resource groups corresponding to the first identity; the first resource group includes at least one processing resource and at least one storage resource; and the first resource group corresponding to the first identity includes that the first resource group includes at least one storage resource that has been occupied for the first identity.

[0448] As an embodiment, the first resource group is the resource group of the two resource groups corresponding to the first identity; and the first resource group corresponding to the first identity includes that the first identity is used to identify an AI model, and the first resource group is used for inference based on the AI model identified by the first identity.

[0449] As an embodiment, the first resource group is the resource group of the two resource groups corresponding to the first identity; and the first resource group corresponding to the first identity includes that the first identity is used to identify an AI entity, and the first resource group is used for inference based on the AI entity identified by the first identity.

[0450] As an embodiment, the first resource group is the resource group of the two resource groups corresponding to the first identity; and the first resource group corresponding to the first identity includes that the first identity is used to identify an AI function, and the first resource group is used for the AI function identified by the first identity.

[0451] As an embodiment, the processing resource already occupied for the first identity comprises the processing resource used to generate information different from the first channel information block, wherein the generation of the information different from the first channel information block corresponds to the first identity.

[0452] As an embodiment, the processing resource already occupied for the first identity comprises the processing resource used to generate channel information different from the first channel information block, wherein the generation of the channel information different from the first channel information block corresponds to the first identity.

[0453] As an embodiment, the processing resource already occupied for the first identity comprises the processing resource identified by the first identity.

[0454] As an embodiment, the first identity is used to identify an AI model; the processing resource already occupied for the first identity comprises the processing resource used to inference based on the AI model identified by the first identity.

[0455] As an embodiment, the first identity is used to identify an AI entity; the processing resource already occupied for the first identity comprises the processing resource used to inference based on the AI entity identified by the first identity.

[0456] As an embodiment, the first identity is used to identify an AI function; the processing resource already occupied for the first identity comprises the processing resource used to the AI function identified by the first identity.

[0457] As an embodiment, the storage resource already occupied for the first identity comprises the storage resource used to generation of information different from the first channel information block, wherein the generation of the information different from the first channel information block corresponds to the first identity.

[0458] As an embodiment, the storage resource already occupied for the first identity comprises the storage resource used to generation of channel information different from the first channel information block, wherein the generation of the channel information different from the first channel information block corresponds to the first identity.

[0459] As an embodiment, the storage resource already occupied for the first identity comprises the storage resource identified by the first identity.

[0460] As an embodiment, the first identifier is used to identify an AI model; the storage resource already occupied for the first identifier comprises the storage resource occupied by the AI model identified by the first identifier.

[0461] As an embodiment, the first identifier is used to identify an AI entity; the storage resource already occupied for the first identifier comprises the storage resource occupied by the AI entity identified by the first identifier.

[0462] As an embodiment, the first identifier is used to identify an AI function; the storage resource already occupied for the first identifier comprises the storage resource used for the AI function identified by the first identifier.

[0463] As an embodiment, the first identifier is used to identify an AI model; the storage resource already occupied for the first identifier comprises the storage resource used for storing the AI model identified by the first identifier.

[0464] As an embodiment, the first identifier is used to identify an AI entity; the storage resource already occupied for the first identifier comprises the storage resource used for storing the AI entity identified by the first identifier.

[0465] As an embodiment, the first identifier is used to identify or indicate a resource set; the storage resource already occupied for the first identifier comprises the storage resource used for storing the resource set identified or indicated by the first identifier.

[0466] As an embodiment, the first identifier is used to identify or indicate a resource set; the storage resource already occupied for the first identifier comprises the storage resource used for storing the measurement result of the resource set identified or indicated by the first identifier.

[0467] As an embodiment, the first identifier is used to identify or indicate a training data set; the storage resource already occupied for the first identifier comprises the storage resource used for storing the training data set identified or indicated by the first identifier.

[0468] As an embodiment, the first identifier is used to identify or indicate a resource set, and the measurement of the resource set is used to obtain a training data set; the storage resource already occupied for the first identifier comprises the storage resource used for storing the measurement result of the resource set identified or indicated by the first identifier or the training data set.

[0469] As an embodiment, the second resource group corresponding to the second identity comprises: the second resource group comprising at least one of the processing resources that has been occupied for the second identity.

[0470] As an embodiment, the second resource group is the resource group of the two resource groups corresponding to the second identity; the second resource group comprises at least one processing resource and at least one storage resource; the second resource group corresponding to the second identity comprises: the second resource group comprising at least one of the processing resources that has been occupied for the second identity.

[0471] As an embodiment, the second resource group is the resource group of the two resource groups corresponding to the second identity; the second resource group comprises at least one processing resource and at least one storage resource; the second resource group corresponding to the second identity comprises: the second resource group comprising at least one of the storage resources that has been occupied for the second identity.

[0472] As an embodiment, the second resource group is the resource group of the two resource groups corresponding to the second identity; the second resource group corresponding to the second identity comprises: the second identity being used to identify an AI model, and the second resource group being used for inference based on the AI model identified by the second identity.

[0473] As an embodiment, the second resource group is the resource group of the two resource groups corresponding to the second identity; the second resource group corresponding to the second identity comprises: the second identity being used to identify an AI entity, and the second resource group being used for inference based on the AI entity identified by the second identity.

[0474] As an embodiment, the second resource group is the resource group of the two resource groups corresponding to the second identity; the second resource group corresponding to the second identity comprises: the second identity being used to identify an AI function, and the second resource group being used for the AI function identified by the second identity.

[0475] As an embodiment, the processing resources that have been occupied for the second identity comprise: the processing resources used to generate information different from the first channel information block, wherein the generation of the information different from the first channel information block corresponds to the second identity.

[0476] As an embodiment, the processing resources that have been occupied for the second identity comprise: the processing resources used to generate channel information different from the first channel information block, wherein the generation of the channel information different from the first channel information block corresponds to the second identity.

[0477] As one embodiment, the processing resource already occupied for the second identification comprises the processing resource identified by the second identification.

[0478] As one embodiment, the second identification is used to identify an AI model; the processing resource already occupied for the second identification comprises the processing resource used for inference based on the AI model identified by the second identification.

[0479] As one embodiment, the second identification is used to identify an AI entity; the processing resource already occupied for the second identification comprises the processing resource used for inference based on the AI entity identified by the second identification.

[0480] As one embodiment, the second identification is used to identify an AI function; the processing resource already occupied for the second identification comprises the processing resource used for the AI function identified by the second identification.

[0481] As one embodiment, the storage resource already occupied for the second identification comprises the storage resource used for generation of information different from the first channel information block, wherein the generation of the information different from the first channel information block corresponds to the second identification.

[0482] As one embodiment, the storage resource already occupied for the second identification comprises the storage resource used for generation of channel information different from the first channel information block, wherein the generation of the channel information different from the first channel information block corresponds to the second identification.

[0483] As one embodiment, the storage resource already occupied for the second identification comprises the storage resource identified by the second identification.

[0484] As one embodiment, the second identification is used to identify an AI model; the storage resource already occupied for the second identification comprises the storage resource occupied by the AI model identified by the second identification.

[0485] As one embodiment, the second identification is used to identify an AI entity; the storage resource already occupied for the second identification comprises the storage resource occupied by the AI entity identified by the second identification.

[0486] As an embodiment, the second identity is used to identify an AI function; the storage resource already occupied for the second identity comprises the storage resource used for the AI function identified by the second identity.

[0487] As an embodiment, the second identity is used to identify an AI model; the storage resource already occupied for the second identity comprises the storage resource used for storing the AI model identified by the second identity.

[0488] As an embodiment, the second identity is used to identify an AI entity; the storage resource already occupied for the second identity comprises the storage resource used for storing the AI entity identified by the second identity.

[0489] As an embodiment, the second identity is used to identify or indicate a resource set; the storage resource already occupied for the second identity comprises the storage resource used for storing the resource set identified or indicated by the second identity.

[0490] As an embodiment, the second identity is used to identify or indicate a resource set; the storage resource already occupied for the second identity comprises the storage resource used for storing the resource set identified or indicated by the second identity.

[0491] As an embodiment, the second identity is used to identify or indicate a training data set; the storage resource already occupied for the second identity comprises the storage resource used for storing the training data set identified or indicated by the second identity.

[0492] As an embodiment, the second identity is used to identify or indicate a resource set, and a measurement of the resource set is used to obtain a training data set; the storage resource already occupied for the second identity comprises the storage resource used for storing the measurement of the resource set identified or indicated by the second identity or the training data set.

[0493] As an embodiment, the two different identities are two different first-class identities.

[0494] As an embodiment, the first identity and the second identity are two different first-class identities.

[0495] In embodiment 7B, only one of the two resource groups corresponds to a first-class identity, and the first identity is one of the first-class identities.

[0496] As an embodiment, the two resource groups include a first resource group and a second resource group, the first resource group corresponds to a first identifier, the first identifier is one of the first type of identifiers, and the second resource group does not correspond to one of the first type of identifiers.

[0497] As an embodiment, the first type of identifier is a non-negative integer.

[0498] As an embodiment, the first type of identifier is a string.

[0499] As an embodiment, the first type of identifier is used to identify at least one processing resource.

[0500] As an embodiment, the first type of identifier is used to identify a resource group, and the resource group includes at least one processing resource.

[0501] As an embodiment, the first type of identifier is used to identify at least one storage resource and at least one processing resource.

[0502] As an embodiment, the first type of identifier is used to identify a resource group, and the resource group includes at least one storage resource and at least one processing resource.

[0503] As an embodiment, the first type of identifier is used to identify a reporting configuration.

[0504] As an embodiment, the first type of identifier is different from a reporting configuration identifier.

[0505] As an embodiment, the first type of identifier is used to identify an AI model.

[0506] As an embodiment, the first type of identifier is used by the first node to determine an AI model.

[0507] As an embodiment, the first type of identifier is used to identify an AI entity.

[0508] As an embodiment, the first type of identifier is used to identify an AI function.

[0509] As an embodiment, the benefits of the above method include that identifying an AI model / entity / function through the first type of identifier simplifies the design and unifies the understanding of different AI entities or functions among multiple nodes.

[0510] As an embodiment, the first type of identifier is used to identify or indicate a resource set.

[0511] As an embodiment, the first type of identifier is used to identify or indicate a resource set, and measurements of the one resource set are used to obtain a training data set.

[0512] As one embodiment, the first type of identification is used to identify or indicate a resource set.

[0513] As one embodiment, the resource set identified or indicated by the first type of identification comprises one or more RS resources.

[0514] As one embodiment, the resource set identified or indicated by the first type of identification consists of one or more RS resources.

[0515] As one embodiment, the first type of identification is used to identify or indicate a training data set.

[0516] As one embodiment, the benefits of the above method include that by identifying an AI training or an AI training data set, the inference generated by the AI training or the AI training data set is recognized, consensus is established between different AI functions, and the design is further simplified.

[0517] As one embodiment, the second resource group not having a corresponding one of the first type of identification comprises: none of the processing resources in the second resource group having been occupied for the first type of identification.

[0518] As one embodiment, the second resource group comprises at least one processing resource and at least one storage resource; the second resource group not having a corresponding one of the first type of identification comprises: none of the processing resources in the second resource group having been occupied for the first type of identification, and none of the storage resources in the second resource group having been occupied for the first type of identification.

[0519] As one embodiment, the second resource group not having a corresponding one of the first type of identification comprises: the first type of identification being used to identify an AI model, and the second resource group not being used for inference based on the AI model identified by the first type of identification.

[0520] As one embodiment, the second resource group not having a corresponding one of the first type of identification comprises: the first type of identification being used to identify an AI entity, and the second resource group not being used for inference based on the AI entity identified by the first type of identification.

[0521] As one embodiment, the second resource group not having a corresponding one of the first type of identification comprises: the first type of identification being used to identify an AI function, and the second resource group not being used for the AI function identified by the first type of identification.

[0522] As one embodiment, the processing resource having been occupied for the first type of identification comprises: the processing resource being used for generation of information, wherein the generation of information corresponds to the first type of identification.

[0523] As an embodiment, the processing resource already occupied for the first-type identifier comprises: the processing resource used for generation of channel information, wherein the generation of the channel information corresponds to the first-type identifier.

[0524] As an embodiment, the processing resource already occupied for the first-type identifier comprises: the processing resource identified by the first-type identifier.

[0525] As an embodiment, the first-type identifier is used for identifying an AI model; the processing resource already occupied for the first-type identifier comprises: the processing resource used for inference based on the AI model identified by the first-type identifier.

[0526] As an embodiment, the first-type identifier is used for identifying an AI entity; the processing resource already occupied for the first-type identifier comprises: the processing resource used for inference based on the AI entity identified by the first-type identifier.

[0527] As an embodiment, the first-type identifier is used for identifying an AI function; the processing resource already occupied for the first-type identifier comprises: the processing resource used for the AI function identified by the first-type identifier.

[0528] As an embodiment, the storage resource already occupied for the first-type identifier comprises: the storage resource used for generation of information, wherein the generation of the information corresponds to the first-type identifier.

[0529] As an embodiment, the storage resource already occupied for the first-type identifier comprises: the storage resource used for generation of channel information, wherein the generation of the channel information corresponds to the first-type identifier.

[0530] As an embodiment, the storage resource already occupied for the first-type identifier comprises: the storage resource identified by the first-type identifier.

[0531] As an embodiment, the first-type identifier is used for identifying an AI model; the storage resource already occupied for the first-type identifier comprises: the storage resource occupied by the AI model identified by the first-type identifier.

[0532] As an embodiment, the first-type identifier is used for identifying an AI entity; the storage resource already occupied for the first-type identifier comprises: the storage resource occupied by the AI entity identified by the first-type identifier.

[0533] As an embodiment, the first type of identifier is used to identify an AI function; the storage resource already occupied for the first type of identifier comprises the storage resource used for the AI function identified by the first type of identifier.

[0534] As an embodiment, the first type of identifier is used to identify an AI model; the storage resource already occupied for the first type of identifier comprises the storage resource used for storing the AI model identified by the first type of identifier.

[0535] As an embodiment, the first type of identifier is used to identify an AI entity; the storage resource already occupied for the first type of identifier comprises the storage resource used for storing the AI entity identified by the first type of identifier.

[0536] As an embodiment, the first type of identifier is used to identify or indicate a resource set; the storage resource already occupied for the first type of identifier comprises the storage resource used for storing the resource set identified or indicated by the first type of identifier.

[0537] As an embodiment, the first type of identifier is used to identify or indicate a resource set; the storage resource already occupied for the first type of identifier comprises the storage resource used for storing the measurement result of the resource set identified or indicated by the first type of identifier.

[0538] As an embodiment, the first type of identifier is used to identify or indicate a training data set; the storage resource already occupied for the first type of identifier comprises the storage resource used for storing the training data set identified or indicated by the first type of identifier.

[0539] As an embodiment, the first type of identifier is used to identify or indicate a resource set, and the measurement of the resource set is used to obtain a training data set; the storage resource already occupied for the first type of identifier comprises the storage resource used for storing the measurement result of the resource set identified or indicated by the first type of identifier or the training data set.

[0540] Embodiment 8

[0541] Embodiment 8 illustrates a schematic diagram of the total number of processing resources in a resource group according to an embodiment of the present application; as shown in FIG. 8.

[0542] In embodiment 8, the first resource group is the resource group corresponding to the first identifier in the two resource groups, and the total number of processing resources in the first resource group depends on the first identifier.

[0543] As an embodiment, the two resource groups correspond to two different identities respectively, and the total number of processing resources included in any of the two resource groups depends on the identity corresponding to the resource group.

[0544] As an embodiment, the two resource groups include a first resource group and a second resource group, the first resource group corresponds to a first identity, the second resource group corresponds to a second identity, the first identity and the second identity are different, the total number of processing resources in the first resource group depends on the first identity, and the total number of processing resources in the second resource group depends on the second identity.

[0545] In the above method, the resource groups corresponding to different identities can include different numbers of processing resources, which has good flexibility and better adapts to various processing requirements.

[0546] As an embodiment, a higher layer parameter is used to indicate the total number of processing resources in the first resource group.

[0547] As an embodiment, the reporting configuration of the first channel information block indicates the total number of processing resources in the first resource group.

[0548] As an embodiment, the first node reports the total number of processing resources in the first resource group.

[0549] As an embodiment, the first information block indicates the total number of processing resources in the first resource group.

[0550] As an embodiment, a higher layer parameter is used to indicate at least one of the total number of processing resources in the first resource group or the total number of processing resources in the second resource group.

[0551] As an embodiment, the reporting configuration of the first channel information block indicates at least one of the total number of processing resources in the first resource group or the total number of processing resources in the second resource group.

[0552] As an embodiment, the first node reports at least one of the total number of processing resources in the first resource group or the total number of processing resources in the second resource group.

[0553] As an embodiment, the first information block indicates at least one of the total number of processing resources in the first resource group or the total number of processing resources in the second resource group.

[0554] As an embodiment, the above method has the advantages of simplifying the design and having good flexibility.

[0555] As one embodiment, only one of the two resource groups corresponds to a first type of identity, the first identity is one of the first type of identity; the first resource group is the resource group of the two resource groups corresponding to the first identity, and the total number of the processing resources in the first resource group depends on the first identity.

[0556] As one embodiment, the total number of the processing resources in the first resource group depending on the first identity comprises: for the first identity, the second node indicates the total number of the processing resources in the first resource group.

[0557] As one embodiment, the total number of the processing resources in the first resource group depending on the first identity comprises: for the first identity, the first node reports the total number of the processing resources in the first resource group.

[0558] As one embodiment, the total number of the processing resources in the first resource group depending on the first identity comprises: the first identity is used to identify the first resource group.

[0559] As one embodiment, the total number of the processing resources in the first resource group depending on the first identity comprises: the first identity is used to identify all the processing resources in the first resource group.

[0560] As one embodiment, the total number of the processing resources in the first resource group depending on the first identity comprises: a plurality of identities and a plurality of positive integers are in one-to-one correspondence, the first identity is one of the plurality of identities; the total number of the processing resources in the first resource group is a positive integer of the plurality of positive integers corresponding to the first identity.

[0561] As one sub-embodiment of the above embodiment, the plurality of identities are respectively a plurality of first type of identities.

[0562] As one embodiment, the total number of the processing resources in the second resource group depending on the second identity comprises: for the second identity, the second node indicates the total number of the processing resources in the second resource group.

[0563] As one embodiment, the total number of the processing resources in the second resource group depending on the second identity comprises: for the second identity, the first node reports the total number of the processing resources in the second resource group.

[0564] As one embodiment, the total number of the processing resources in the second resource group depending on the second identity comprises: the second identity is used to identify the second resource group.

[0565] As one embodiment, the total number of the processing resources in the second resource group depending on the second identity comprises: the second identity is used to identify all the processing resources in the second resource group.

[0566] As one embodiment, the total number of the processing resources in the second resource group depending on the second identity comprises: a plurality of identities and a plurality of positive integers are in one-to-one correspondence, the second identity is one of the plurality of identities; the total number of the processing resources in the second resource group is a positive integer corresponding to the second identity among the plurality of positive integers.

[0567] As one sub-embodiment of the above embodiment, the plurality of identities are respectively a plurality of first type identities.

[0568] As one embodiment, the total number of the processing resources in the first resource group depending on the first identity comprises: the first identity is used to identify the reporting amount of channel information, and the total number of the processing resources in the first resource group depends on the reporting amount of channel information identified by the first identity.

[0569] As one embodiment, the total number of the processing resources in the first resource group depending on the reporting amount of channel information identified by the first identity comprises: for the reporting amount of channel information identified by the first identity, the second node indicates the total number of the processing resources in the first resource group.

[0570] As one embodiment, the total number of the processing resources in the first resource group depending on the reporting amount of channel information identified by the first identity comprises: for the reporting amount of channel information identified by the first identity, the first node reports the total number of the processing resources in the first resource group.

[0571] As one embodiment, the total number of the processing resources in the first resource group depending on the reporting amount of channel information identified by the first identity comprises: a plurality of reporting amounts and a plurality of positive integers are in one-to-one correspondence, and the total number of the processing resources in the first resource group is a positive integer corresponding to the reporting amount of channel information identified by the first identity among the plurality of positive integers.

[0572] As one sub-embodiment of the above embodiment, the plurality of identities are respectively a plurality of first type identities.

[0573] As one embodiment, the total number of the processing resources in the second resource group depending on the second identity comprises: the second identity is used to identify the reporting amount of channel information, and the total number of the processing resources in the second resource group depends on the reporting amount of channel information identified by the second identity.

[0574] As an embodiment, the total number of the processing resources in the second resource group depending on the reporting quantity of the channel information identified by the second identification comprises: the second node indicating the total number of the processing resources in the second resource group for the reporting quantity of the channel information identified by the second identification.

[0575] As an embodiment, the total number of the processing resources in the second resource group depending on the reporting quantity of the channel information identified by the second identification comprises: the second node reporting the total number of the processing resources in the second resource group for the reporting quantity of the channel information identified by the second identification.

[0576] As an embodiment, the total number of the processing resources in the second resource group depending on the reporting quantity of the channel information identified by the second identification comprises: a plurality of reporting quantities and a plurality of positive integers corresponding one-to-one, the total number of the processing resources in the second resource group being a positive integer of the reporting quantity of the channel information identified by the second identification in the plurality of positive integers.

[0577] As a sub-embodiment of the above-mentioned embodiment, the plurality of identifications are a plurality of first-type identifications respectively.

[0578] In the above method, the generation of the reporting quantities of different channel information can require different numbers of processing resources, which has good flexibility and better adapts to various processing requirements.

[0579] As an embodiment, the total number of the processing resources in the first resource group depending on the first identification comprises: the first identification being used to identify an AI model, the total number of the processing resources in the first resource group depending on the AI model identified by the first identification.

[0580] As an embodiment, the total number of the processing resources in the first resource group depending on the AI model identified by the first identification comprises: the total number of the processing resources in the first resource group being indicated by the second node for the AI model identified by the first identification.

[0581] As an embodiment, the total number of the processing resources in the first resource group depending on the AI model identified by the first identification comprises: the total number of the processing resources in the first resource group being reported by the first node for the AI model identified by the first identification.

[0582] As an embodiment, the total number of the processing resources in the first resource group depending on the AI model identified by the first identification comprises: a one-to-one correspondence between a plurality of AI models and a plurality of positive integers, the total number of the processing resources in the first resource group being a positive integer corresponding to an AI model identified by the first identification among the plurality of positive integers.

[0583] As an embodiment, the total number of the processing resources in the second resource group depending on the AI model identified by the second identification comprises: the second identification being used to identify an AI model, the total number of the processing resources in the second resource group depending on the AI model identified by the second identification.

[0584] As an embodiment, the total number of the processing resources in the second resource group depending on the AI model identified by the second identification comprises: the total number of the processing resources in the second resource group being indicated by the second node for the AI model identified by the second identification.

[0585] As an embodiment, the total number of the processing resources in the second resource group depending on the AI model identified by the second identification comprises: the total number of the processing resources in the second resource group being reported by the first node for the AI model identified by the second identification.

[0586] As an embodiment, the total number of the processing resources in the second resource group depending on the AI model identified by the second identification comprises: a one-to-one correspondence between a plurality of AI models and a plurality of positive integers, the total number of the processing resources in the second resource group being a positive integer corresponding to an AI model identified by the second identification among the plurality of positive integers.

[0587] In the above method, the resource groups for different AI models can include different numbers of processing resources, which has good flexibility and better adaptation to various processing requirements.

[0588] As an embodiment, the total number of the processing resources in the first resource group depending on the first identification comprises: the first identification being used to identify an AI entity, the total number of the processing resources in the first resource group depending on the AI entity identified by the first identification.

[0589] As an embodiment, the total number of the processing resources in the first resource group depending on the AI entity identified by the first identification comprises: the total number of the processing resources in the first resource group being indicated by the second node for the AI entity identified by the first identification.

[0590] As an embodiment, the total number of the processing resources in the first resource group depending on the AI entity identified by the first identification comprises: the total number of the processing resources in the first resource group is reported by the first node for the AI entity identified by the first identification.

[0591] As an embodiment, the total number of the processing resources in the first resource group depending on the AI entity identified by the first identification comprises: a plurality of AI entities and a plurality of positive integers are in one-to-one correspondence, and the total number of the processing resources in the first resource group is a positive integer corresponding to the AI entity identified by the first identification in the plurality of positive integers.

[0592] As an embodiment, the total number of the processing resources in the second resource group depending on the second identification comprises: the second identification is used to identify an AI entity, and the total number of the processing resources in the second resource group depends on the AI entity identified by the second identification.

[0593] As an embodiment, the total number of the processing resources in the second resource group depending on the AI entity identified by the second identification comprises: the total number of the processing resources in the second resource group is indicated by the second node for the AI entity identified by the second identification.

[0594] As an embodiment, the total number of the processing resources in the second resource group depending on the AI entity identified by the second identification comprises: the total number of the processing resources in the second resource group is reported by the first node for the AI entity identified by the second identification.

[0595] As an embodiment, the total number of the processing resources in the second resource group depending on the AI entity identified by the second identification comprises: a plurality of AI entities and a plurality of positive integers are in one-to-one correspondence, and the total number of the processing resources in the second resource group is a positive integer corresponding to the AI entity identified by the second identification in the plurality of positive integers.

[0596] In the above method, the resource groups for different AI entities can include different numbers of processing resources, which has good flexibility and better adapts to various processing requirements.

[0597] As an embodiment, the total number of the processing resources in the first resource group depending on the first identification comprises: the first identification is used to identify an AI function, and the total number of the processing resources in the first resource group depends on the AI function identified by the first identification.

[0598] As an embodiment, the total number of the processing resources in the first resource group depending on the AI function identified by the first identification comprises: the total number of the processing resources in the first resource group is indicated by the second node for the AI function identified by the first identification.

[0599] As an embodiment, the total number of the processing resources in the first resource group depending on the AI function identified by the first identification comprises: the total number of the processing resources in the first resource group is reported by the first node for the AI function identified by the first identification.

[0600] As an embodiment, the total number of the processing resources in the first resource group depending on the AI function identified by the first identification comprises: a plurality of AI functions and a plurality of positive integers are in one-to-one correspondence, and the total number of the processing resources in the first resource group is a positive integer corresponding to the AI function identified by the first identification in the plurality of positive integers.

[0601] As an embodiment, the total number of the processing resources in the second resource group depending on the second identification comprises: the second identification is used to identify an AI function, and the total number of the processing resources in the second resource group depends on the AI function identified by the second identification.

[0602] In the above method, the resource groups for different AI functions can include different numbers of processing resources, which has good flexibility and better adapts to various processing requirements.

[0603] As an embodiment, the total number of the processing resources in the second resource group depending on the AI function identified by the second identification comprises: the total number of the processing resources in the second resource group is indicated by the second node for the AI function identified by the second identification.

[0604] As an embodiment, the total number of the processing resources in the second resource group depending on the AI function identified by the second identification comprises: the total number of the processing resources in the second resource group is reported by the first node for the AI function identified by the second identification.

[0605] As an embodiment, the total number of the processing resources in the second resource group depending on the AI function identified by the second identification comprises: a plurality of AI functions and a plurality of positive integers are in one-to-one correspondence, and the total number of the processing resources in the second resource group is a positive integer corresponding to the AI function identified by the second identification in the plurality of positive integers.

[0606] As an embodiment, the total number of the processing resources in the first resource group depending on the first identity comprises: the first identity is used to identify or indicate a resource set, and the total number of the processing resources in the first resource group depends on the resource set identified by the first identity.

[0607] As an embodiment, the total number of the processing resources in the first resource group depending on the resource set identified by the first identity comprises: the total number of the processing resources in the first resource group is indicated by the second node for the resource set identified by the first identity.

[0608] As an embodiment, the total number of the processing resources in the first resource group depending on the resource set identified by the first identity comprises: the total number of the processing resources in the first resource group is reported by the first node for the resource set identified by the first identity.

[0609] As an embodiment, the total number of the processing resources in the first resource group depending on the resource set identified by the first identity comprises: a plurality of resource sets and a plurality of positive integers are in one-to-one correspondence, and the total number of the processing resources in the first resource group is a positive integer corresponding to the resource set identified by the first identity in the plurality of positive integers.

[0610] As an embodiment, the total number of the processing resources in the second resource group depending on the second identity comprises: the second identity is used to identify or indicate a resource set, and the total number of the processing resources in the second resource group depends on the resource set identified by the second identity.

[0611] As an embodiment, the total number of the processing resources in the second resource group depending on the resource set identified by the second identity comprises: the total number of the processing resources in the second resource group is indicated by the second node for the resource set identified by the second identity.

[0612] As an embodiment, the total number of the processing resources in the second resource group depending on the resource set identified by the second identity comprises: the total number of the processing resources in the second resource group is reported by the first node for the resource set identified by the second identity.

[0613] As an embodiment, the total number of the processing resources in the second resource group depending on the resource set identified by the second identity comprises: a plurality of resource sets and a plurality of positive integers are in one-to-one correspondence, and the total number of the processing resources in the second resource group is a positive integer corresponding to the resource set identified by the second identity in the plurality of positive integers.

[0614] As an embodiment, the total number of the processing resources in the first resource group depending on the first identity comprises: the first identity is used to identify or indicate a training dataset, and the total number of the processing resources in the first resource group depending on the training dataset identified by the first identity.

[0615] As an embodiment, the total number of the processing resources in the first resource group depending on the training dataset identified by the first identity comprises: the total number of the processing resources in the first resource group is indicated by the second node for the training dataset identified by the first identity.

[0616] As an embodiment, the total number of the processing resources in the first resource group depending on the training dataset identified by the first identity comprises: the total number of the processing resources in the first resource group is reported by the first node for the training dataset identified by the first identity.

[0617] As an embodiment, the total number of the processing resources in the first resource group depending on the training dataset identified by the first identity comprises: a plurality of training datasets and a plurality of positive integers are in one-to-one correspondence, and the total number of the processing resources in the first resource group is a positive integer corresponding to the training dataset identified by the first identity in the plurality of positive integers.

[0618] As an embodiment, the total number of the processing resources in the second resource group depending on the second identity comprises: the second identity is used to identify or indicate a training dataset, and the total number of the processing resources in the second resource group depending on the training dataset identified by the second identity.

[0619] As an embodiment, the total number of the processing resources in the second resource group depending on the training dataset identified by the second identity comprises: the total number of the processing resources in the second resource group is indicated by the second node for the training dataset identified by the second identity.

[0620] As an embodiment, the total number of the processing resources in the second resource group depending on the training dataset identified by the second identity comprises: the total number of the processing resources in the second resource group is reported by the first node for the training dataset identified by the second identity.

[0621] As an example, the total number of the processing resources in the second resource group relied on the training data set identified by the second identification comprises: a plurality of training data sets and a plurality of positive integers one-to-one correspondence, the total number of the processing resources in the second resource group is a positive integer corresponding to the training data set identified by the second identification in the plurality of positive integers.

[0622] Embodiment 9

[0623] Embodiment 9 illustrates a schematic diagram of L1 channel information blocks according to an embodiment of the present application; as shown in FIG. 9. In FIG. 9, channel information block #1, …, channel information block #L respectively represent L channel information blocks, wherein channel information block #1, …, channel information block #L1 respectively represent the L1 channel information blocks.

[0624] In embodiment 9, the first resource group is the resource group corresponding to the first identification in the two resource groups; the generation of only L1 channel information blocks in the L channel information blocks occupies the processing resources in the first resource group, L is a positive integer greater than 1, L1 is a positive integer less than L; the first channel information block is one of the L1 channel information blocks; the L1 channel information blocks satisfy the first condition; the first condition includes: the generation of the channel information block corresponds to the first identification.

[0625] As an example, the L1 is equal to 1, the first channel information block is the L1 channel information block, and the generation of only L1 channel information blocks in the L channel information blocks occupies the M1 processing resources in the first resource group.

[0626] As an example, the L1 is greater than 1, and the generation of only L1 channel information blocks in the L channel information blocks occupies more than M1 processing resources in the first resource group.

[0627] As an example, the total number of the processing resources occupied by the generation of the L1 channel information blocks is equal to or greater than the M1.

[0628] As an example, the total number of the processing resources occupied by the generation of the L1 channel information blocks is greater than the M1.

[0629] As an example, only part of the channel information blocks in the L channel information blocks corresponds to the first identification.

[0630] As an example, the first condition further includes: the total number of the processing resources occupied by the generation of the L1 channel information blocks is not greater than the total number of the processing resources in the first resource group which are not occupied.

[0631] As one embodiment, the generation of any channel information block other than the LI channel information blocks of the L channel information blocks does not occupy processing resources in the first resource group.

[0632] As one embodiment, the generation of any channel information block other than the LI channel information blocks of the L channel information blocks does not correspond to the first identity.

[0633] As one embodiment, the generation of any channel information block other than the LI channel information blocks of the L channel information blocks corresponds to a first type of identity different from the first identity or does not correspond to a first type of identity; wherein the first identity is a first type of identity.

[0634] In the above method, only the channel information blocks corresponding to the first identity of the L channel information blocks can occupy the processing resources in the first resource group.

[0635] Embodiments 10A-10B

[0636] Embodiments 10A-10B respectively illustrate a schematic diagram of a resource group according to one embodiment of the present application; as shown in Figures 10A-10B respectively.

[0637] In embodiment 10A, the resource group in the present application comprises at least one processing resource.

[0638] As one embodiment, the resource group consists of at least one processing resource.

[0639] As one embodiment, the resource group is used for at least one of processing, calculation or inference.

[0640] As one embodiment, the resource group comprises a processing unit, and the processing unit comprises one or more processing resources.

[0641] As one embodiment, the resource group is a processing unit, and the processing unit comprises one or more processing resources.

[0642] As one embodiment, the resource group is used for at least one of processing, calculation or inference, and the resource group comprises one or more processing resources, and the processing resource is a processing unit.

[0643] As one embodiment, the resource group is a processing unit group, and the processing unit group comprises one or more processing units; and the processing resource is the processing unit.

[0644] As one embodiment, the processing resource is used for calculation.

[0645] As one embodiment, the processing resource is used for inference.

[0646] As one embodiment, the processing resource is used for at least addition and multiplication operations.

[0647] As one embodiment, the processing resource is used for at least convolution operation.

[0648] As one embodiment, the processing resource is a processing unit.

[0649] As one embodiment, the processing resource comprises a computing resource.

[0650] As one embodiment, the processing resource is used for computing or generating the first channel information block.

[0651] As one embodiment, one processing resource being occupied comprises that one processing resource is not idle.

[0652] As one embodiment, one processing resource not being occupied comprises that one processing resource is idle.

[0653] As one embodiment, one processing resource being occupied comprises that one processing resource has been used for at least one of computing or inference.

[0654] As one embodiment, one processing resource not being occupied comprises that one processing resource has not been used for at least one of computing or inference.

[0655] For the processing unit in the above embodiments, some typical but non-limiting implementations are described as follows:

[0656] As one embodiment, the processing unit is used for computing or generating channel information.

[0657] As one embodiment, the processing unit is used for processing channel information.

[0658] As one embodiment, the processing unit is a CSI processing unit.

[0659] As one embodiment, the processing unit is an AI processing unit (APU).

[0660] As one embodiment, the processing unit is a Central Processing Unit (CPU).

[0661] As one embodiment, the processing unit is a GPU (graphics processing unit).

[0662] As one embodiment, the processing unit is a general processing unit.

[0663] As an embodiment, the processing unit is a general-purpose computing on graphics processing units (GPGPU).

[0664] In embodiment 10B, the resource group in the present application comprises at least one processing resource and at least one storage resource.

[0665] As an embodiment, part or all of the parameters used in the generation of the first channel information block are stored in at least one storage resource.

[0666] As an embodiment, part or all of the parameters of the AI model used in the generation of the first channel information block are stored in at least one storage resource.

[0667] As an embodiment, at least one of part or all of the parameters of the AI model used in the generation of the first channel information block, part or all of the inference intermediate results, or part or all of the inference output is stored in at least one storage resource.

[0668] As an embodiment, the storage resource is used for storage, and the processing resource is used for at least one of processing, calculation, or inference.

[0669] As an embodiment, the storage resource is used for storage, and the processing resource is used for processing.

[0670] As an embodiment, the storage resource is used for storage, and the processing resource is used for calculation.

[0671] As an embodiment, the storage resource is used for storage, and the processing resource is used for inference.

[0672] As an embodiment, the resource group is a set of at least one processing resource and at least one storage resource.

[0673] As an embodiment, the resource group comprises a processing unit, and the processing unit comprises at least one processing resource and at least one storage resource.

[0674] As an embodiment, the resource group comprises at least one processing unit, and the processing unit comprises at least one processing resource and at least one storage resource.

[0675] As an embodiment, the storage resource is used for storage, and the processing resource is a processing unit.

[0676] As an embodiment, the storage resource comprises a storage unit or a storage space.

[0677] As an embodiment, the storage resource comprises a memory.

[0678] As an embodiment, the storage resource is used to store part or all parameters of an AI model.

[0679] As an embodiment, the storage resource is used to store at least one of part or all parameters of an AI model, part or all inference intermediate results, or part or all inference outputs.

[0680] As an embodiment, the storage resource is used to store one or more of a convolution kernel size, a convolution layer number, a convolution step, a pooling kernel size, a pooling kernel step, a pooling function, an activation function, or a feature map number.

[0681] As an embodiment, the storage resource is used to store one or more of a convolution kernel, a pooling kernel, a pooling function, an activation function, a parameter of the pooling function, or a parameter of the activation function.

[0682] As an embodiment, the storage resource is used to store part or all parameters in the target first parameter group in Embodiment 16 of the present application.

[0683] As an embodiment, that a storage resource has been occupied comprises that a storage resource is not idle.

[0684] As an embodiment, that a storage resource is not occupied comprises that a storage resource is idle.

[0685] As an embodiment, that a storage resource has been occupied comprises that a storage resource has been used for storage.

[0686] As an embodiment, that a storage resource is not occupied comprises that a storage resource is not used for storage.

[0687] As an embodiment, that a storage resource has been occupied comprises that a storage resource has been used for storing at least one of part or all parameters of an AI model, part or all inference intermediate results, or part or all inference outputs.

[0688] As an embodiment, a processing unit comprises at least one processing resource and at least one storage resource.

[0689] As an embodiment, a processing unit comprises at least one storage resource and at least one processing resource; the storage resource is used for storage; and the processing resource is used for at least one of processing, calculation, or inference.

[0690] As an embodiment, a processing unit comprises at least one memory resource and at least one processing resource, and the generating of the first channel information block occupies M1 processing resources and M2 memory resources in the same processing unit, M1 is a positive integer, and M2 is a positive integer.

[0691] For the processing unit in the above embodiment, some typical but non-limiting implementations are described as follows:

[0692] As an embodiment, the processing unit is used for calculating or generating channel information.

[0693] As an embodiment, the processing unit is used for processing channel information.

[0694] As an embodiment, the processing unit is a CSI processing unit.

[0695] As an embodiment, the processing unit is an AI processing unit (APU).

[0696] As an embodiment, the processing unit is a central processing unit (CPU).

[0697] As an embodiment, the processing unit is a GPU (graphics processing unit).

[0698] As an embodiment, the processing unit is a general-purpose processing unit.

[0699] As an embodiment, the processing unit is a general-purpose computing on graphics processing units (GPGPU).

[0700] Embodiments 11A-11C

[0701] Embodiments 11A-11C respectively illustrate a schematic diagram of the generation of the first channel information block corresponding to the first identifier according to an embodiment of the present application; as shown in Figures 11A-11C.

[0702] In embodiment 11A, the first channel information block generation corresponding to the first identifier comprises: the reporting configuration of the first channel information block indicates the first identifier, and the first identifier corresponding to the generation of the first channel information block is the first identifier indicated by the reporting configuration of the first channel information block.

[0703] As an embodiment, the above method has the benefit of simplifying the design, which can flexibly configure the first identity corresponding to the first channel information block.

[0704] In embodiment 11B, the first identity corresponding to the generation of the first channel information block includes that the first node or the sender of the first channel information block performs a first operation, the first channel information block depends on the output of the first operation, and the first operation corresponds to the first identity.

[0705] As an embodiment, the first operation is based on training or AI.

[0706] As an embodiment, the first operation includes inference.

[0707] As an embodiment, the first operation includes an AI entity.

[0708] As an embodiment, the first operation includes an AI entity for inference.

[0709] As an embodiment, the first operation includes a part of an AI entity.

[0710] As an embodiment, the first operation includes a part of an AI entity for inference.

[0711] As an embodiment, the first operation includes inference for obtaining the first channel information block.

[0712] As an embodiment, the inference includes AI inference.

[0713] As an embodiment, the first operation includes AI inference for obtaining CSI.

[0714] As an embodiment, the first operation includes AI inference for obtaining channel information.

[0715] As an embodiment, the first operation includes AI inference for obtaining information other than channel information.

[0716] As an embodiment, the first operation is used for AI function.

[0717] As an embodiment, the first operation is performed by the physical layer of the first node.

[0718] As an embodiment, the first operation is performed by a higher layer of the first node.

[0719] As one embodiment, the model of the first operation is obtained by training.

[0720] As one embodiment, the training of the first operation is performed by the first node.

[0721] As one embodiment, the training of the first operation is performed by a target receiver of the first channel information block.

[0722] As one embodiment, the training of the first operation is performed by a core network.

[0723] As one embodiment, the training of the first operation is performed by an AI training producer.

[0724] As one embodiment, the training of the first operation is performed by an MDA function.

[0725] As one embodiment, the training of the first operation is performed by an MDA function located at the first node.

[0726] As one embodiment, the training of the first operation is performed by an MDA function located at a target receiver of the first channel information block.

[0727] As one embodiment, the training of the first operation is performed by a NWDAF.

[0728] As one embodiment, the training of the first operation is performed by an MDAS producer.

[0729] As one embodiment, the training of the first operation is performed by an MnS producer.

[0730] As one embodiment, the first operation is a deployment.

[0731] As one embodiment, the first operation is obtained by load.

[0732] As one embodiment, the first operation is obtained by load from a serving cell of the first node.

[0733] As one embodiment, the first operation is obtained from a maintenance base station of a serving cell of the first node.

[0734] As one embodiment, the first node deploys the first operation.

[0735] As one embodiment, the first operation is not required to be deployed.

[0736] As one embodiment, the first operation is obtained from a core network.

[0737] As one embodiment, the first operation is based on artificial intelligence or machine learning.

[0738] As one embodiment, the first operation is based on a neural network.

[0739] As one embodiment, the first operation is based on conventional neural networks.

[0740] As one embodiment, the first operation includes pre-processing.

[0741] As one embodiment, the first operation includes post-processing.

[0742] As one embodiment, the post-processing includes DFT.

[0743] As one embodiment, the post-processing includes quantization.

[0744] As one embodiment, the post-processing includes one or more of angle domain to spatial domain transformation, spatial domain to angle domain transformation, time domain to frequency domain transformation, and frequency domain to time domain transformation.

[0745] As one embodiment, the post-processing includes truncation and / or padding.

[0746] As one embodiment, the first operation includes one or more of convolution, pooling, concatenation, and activation.

[0747] As one embodiment, the first operation includes a fully connected layer.

[0748] As one embodiment, the first operation includes a pooling layer.

[0749] As one embodiment, the first operation includes at least one convolution layer.

[0750] As one embodiment, the first operation includes at least one encoding layer.

[0751] As an embodiment, one encoding layer comprises at least one convolution layer and one pooling layer.

[0752] As an embodiment, in the convolution layer, at least one convolution kernel is used to convolve the input to generate a corresponding feature map, and at least one feature map output by the convolution layer is reshaped into a vector input to the fully connected layer; the fully connected layer converts the one vector into an output.

[0753] As an embodiment, part or all of the convolution kernel size, the number of convolution layers, the convolution step, the pooling kernel size, the pooling kernel step, the pooling function, the activation function, and the number of feature maps of the first operation are obtained through training.

[0754] As an embodiment, part or all of the convolution kernel, the pooling kernel, the pooling function, the activation function, the parameters of the pooling function, and the parameters of the activation function of the first operation are obtained through training.

[0755] As an embodiment, the output of the first operation comprises channel information.

[0756] As an embodiment, the output of the first operation comprises information other than channel information.

[0757] As an embodiment, the output of the first operation comprises a channel matrix.

[0758] As an embodiment, the output of the first operation comprises CSI.

[0759] As an embodiment, the output of the first operation comprises compressed CSI.

[0760] As an embodiment, the output of the first operation comprises non-codebook-based CSI.

[0761] As an embodiment, the output of the first operation comprises a channel impulse response.

[0762] As an embodiment, the output of the first operation comprises a small-scale characteristic.

[0763] As an embodiment, the output of the first operation is used to determine one or more precoding matrices.

[0764] As an embodiment, the first operation comprises artificial intelligence or machine learning-based CSI compression.

[0765] As an embodiment, the first operation comprises an encoder for artificial intelligence or machine learning-based CSI compression.

[0766] As one embodiment, the first operation comprises AI or ML based CSI prediction or CSI estimation.

[0767] As one embodiment, the first operation comprises AI or ML based beam management.

[0768] As one embodiment, the beam management comprises at least one of beam prediction, beam switching, beam failure prediction, or beam failure recovery.

[0769] As one embodiment, the input of the first operation comprises measurements obtained based on at least one RS resource.

[0770] As one embodiment, the input of the first operation comprises channel measurements obtained based on CSI-RS resources or SS / PBCH block resources.

[0771] As one embodiment, the input of the first operation comprises interference measurements obtained based on CSI-RS resources or CSI-IM resources.

[0772] As one embodiment, the input of the first operation comprises at least one of received quality of physical channels or physical signals.

[0773] As one embodiment, the input of the first operation comprises a matrix or vector obtained after pre-processing a channel matrix based on measurements of at least one RS resource.

[0774] As one embodiment, the AI function comprises an AI inference function.

[0775] As one embodiment, the AI function comprises an AI training function.

[0776] As one embodiment, the AI function comprises an AI management function.

[0777] As one embodiment, the AI function comprises AI performance monitoring.

[0778] As one embodiment, the AI comprises ML (Machine Learning).

[0779] As one embodiment, the AI comprises AI and ML.

[0780] As one embodiment, the AI comprises AI or ML.

[0781] As one embodiment, the pre-processing comprises one or more of quantization, DFT (Discrete Fourier Transform), matrix decomposition, matrix transformation or projection, spatial-to-angle domain transformation, angle-to-spatial domain transformation, frequency-to-time domain transformation, time-to-frequency domain transformation, truncation, padding, mapping, or labeling.

[0782] As one embodiment, the pre-processing comprises a DFT (Discrete Fourier Transform).

[0783] As one embodiment, the pre-processing comprises one or more of matrix decomposition, matrix transformation or projection.

[0784] As one embodiment, the pre-processing comprises one or more of quantization, spatial-to-angle domain transformation, angle-to-spatial domain transformation, frequency-to-time domain transformation, or time-to-frequency domain transformation.

[0785] As one embodiment, the pre-processing comprises truncation and / or padding.

[0786] As one embodiment, the pre-processing comprises mapping.

[0787] As one embodiment, the pre-processing comprises mapping to a vector.

[0788] As one embodiment, the pre-processing comprises labeling.

[0789] As one embodiment, the labeling refers to labeling with a label.

[0790] As one embodiment, the post-processing comprises a DFT.

[0791] As one embodiment, the post-processing comprises quantization.

[0792] As one embodiment, the post-processing comprises one or more of angle-to-spatial domain transformation, spatial-to-angle domain transformation, time-to-frequency domain transformation, and frequency-to-time domain transformation.

[0793] As one embodiment, the post-processing comprises truncation and / or padding.

[0794] As one embodiment, one encoding layer comprises at least one convolutional layer and one pooling layer.

[0795] As an embodiment, at a convolution layer, at least one convolution kernel is used to convolve an input to generate a corresponding feature map, at least one feature map output by the convolution layer is reshaped into a vector input to a fully connected layer; the fully connected layer converts the vector into an output.

[0796] As an embodiment, the first operation corresponding to the first identifier includes that the first operation is identified by the first identifier.

[0797] As an embodiment, the first operation corresponding to the first identifier includes that an AI model used by the first operation is identified by the first identifier.

[0798] As an embodiment, the first operation corresponding to the first identifier includes that an AI entity included in the first operation is identified by the first identifier.

[0799] As an embodiment, the first operation corresponding to the first identifier includes that an AI function used by the first operation is identified by the first identifier.

[0800] As an embodiment, the benefit of the above method includes that an AI entity or function is identified by the first identifier, which simplifies the design and unifies the understanding of different AI entities or functions among multiple nodes.

[0801] As an embodiment, the first operation corresponding to the first identifier includes that an AI entity performing the first operation is identified by the first identifier.

[0802] As an embodiment, the first operation corresponding to the first identifier includes that the first identifier is used by the first node to determine an AI model used by the first operation.

[0803] As an embodiment, the benefit of the above method includes that an AI model / entity / function is identified by the first identifier, which simplifies the design and unifies the understanding of different AI entities / functions among multiple nodes.

[0804] As an embodiment, the first operation corresponding to the first identifier includes that the first identifier is used to identify or indicate a set of RS resources, and a measurement on the set of RS resources is used to obtain a training data set of the first operation.

[0805] As an embodiment, the first operation corresponding to the first identifier includes that a training for the first operation is identified by the first identifier.

[0806] As an embodiment, the first operation corresponding to the first identifier includes that a data set used for training of the first operation is identified by the first identifier.

[0807] As an embodiment, benefits of the above method include that consensus is established among different AI functions by identifying an AI training or an AI training dataset that generates the inference, which further simplifies the design.

[0808] As an embodiment, the first operation corresponding to the first identification includes that the first operation performs spatial beam prediction for a second resource set based on measurements of a first resource set, the second resource set depending on the first identification.

[0809] As an embodiment, benefits of the above method include that RS overhead is reduced and feedback delay is reduced.

[0810] As an embodiment, the first operation corresponding to the first identification includes that the first operation performs channel information prediction for a second resource set based on measurements of a first resource set, the second resource set depending on the first identification.

[0811] As an embodiment, the first operation corresponding to the first identification includes that the first operation performs Temporal beam prediction for a second resource set based on historic measurements of a first resource set, the second resource set depending on the first identification.

[0812] As an embodiment, benefits of the above method include that beam feedback delay is reduced and real-time performance of beam acquisition is improved.

[0813] As an embodiment, the first operation corresponding to the first identification includes that the first operation performs Temporal channel information prediction for a second resource set based on historic measurements of a first resource set, the second resource set depending on the first identification.

[0814] As an embodiment, benefits of the above method include that channel information feedback delay is reduced and real-time performance of channel information acquisition is improved.

[0815] As an embodiment, an output of the first operation is used to generate the first channel information block.

[0816] As an embodiment, the first channel information block includes an output of the first operation.

[0817] As an embodiment, the first channel information block includes a post-processed output of the first operation.

[0818] As one embodiment, the first channel information block comprises a truncated and / or quantized output of the first operation.

[0819] As one embodiment, the output of the first operation is post-processed before being used to generate the first channel information block.

[0820] As one embodiment, the output of the first operation is truncated and / or quantized before being used to generate the first channel information block.

[0821] As one embodiment, part or all of the output of the first operation is post-processed before being used to generate the first channel information block.

[0822] As one embodiment, part or all of the output of the first operation is truncated and / or quantized before being used to generate the first channel information block.

[0823] As one embodiment, the output of the first operation comprises a first CSI, which is used to generate the first channel information block.

[0824] As one embodiment, the above method has the benefit of improving the performance of CSI reporting, including more accurate reporting and / or lower overhead, by exploiting the advantage of the first operation.

[0825] As one embodiment, the first channel information block comprises the first CSI.

[0826] As one embodiment, the first CSI is post-processed before being used to generate the first channel information block.

[0827] As one embodiment, the first channel information block comprises the first CSI after post-processing.

[0828] As one embodiment, the first channel information block carries the first CSI after post-processing.

[0829] As one embodiment, the first CSI is truncated and / or quantized before being used to generate the first channel information block.

[0830] As one embodiment, the first channel information block comprises the first CSI after truncation and / or quantization.

[0831] As one embodiment, the first channel information block carries the first CSI after truncation and / or quantization.

[0832] As one embodiment, the first CSI comprises one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, and TDCP.

[0833] As one embodiment, the first CSI comprises one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, TDCP, predicted channel information, predicted beam information, or confidence information.

[0834] As one embodiment, the first CSI comprises a channel matrix.

[0835] As one embodiment, the first CSI comprises an eigenvector.

[0836] As one embodiment, the first CSI comprises an eigenvector and an eigenvalue.

[0837] As one embodiment, the first CSI comprises precoding information.

[0838] As one embodiment, the first CSI comprises non-codebook-based precoding information.

[0839] As one embodiment, the first CSI is used to determine at least one precoding matrix.

[0840] As one embodiment, the first CSI indicates at least one precoding matrix.

[0841] As one embodiment, the precoding matrix is spatial-frequency domain.

[0842] As one embodiment, the precoding matrix is angular-delay domain projection.

[0843] As one embodiment, the first CSI comprises information of relative phase, amplitude and / or coefficients among multiple antenna ports.

[0844] As one embodiment, the first CSI comprises compressed CSI.

[0845] As one embodiment, the first CSI comprises predicted / estimated CSI.

[0846] As one embodiment, how to generate the first channel information block based on the first operation is determined by the manufacturer of the first node, or is implementation dependent. A typical but non-limiting implementation is described as follows:

[0847] The first node first measures the RS resource for channel measurement to obtain a channel parameter matrix Hr×t where r, t are the number of receive antennas and the number of antenna ports, respectively; at least a channel parameter matrix H r×t or its eigenvectors are input into an AI model, and the output of the AI model is used to obtain the first channel information block.

[0848] If the first channel information block requires the first node to estimate interference (including noise), the first node can measure RS resources for interference measurement to obtain a measured interference.

[0849] In one implementation, the measured interference is also input into the AI model.

[0850] In another implementation, the measured interference is not input into the AI model, and the output of the AI model and the measured interference are jointly used to generate the first channel information block.

[0851] Without loss of generality, the AI model or the parameters of the AI model used to generate the first channel information block are determined by the manufacturer of the first node.

[0852] In embodiment 11C, the generation of the first channel information block corresponding to the first identity includes: the generation of the first channel information block uses an AI model identified by the first identity, or the first channel information block is generated in an AI entity identified by the first identity, or the first channel information block is used for an AI function identified by the first identity.

[0853] As an example, the generation of the first channel information block uses an AI model identified by the first identity.

[0854] As an example, the first channel information block is generated in an AI entity identified by the first identity.

[0855] As an example, the first channel information block is used for an AI function identified by the first identity.

[0856] Embodiments 12A-12C

[0857] Embodiments 12A-12C respectively illustrate a schematic diagram of a first channel information block according to one embodiment of the present application; as shown in Figures 12A-12C respectively.

[0858] In embodiment 12A, the generation of the first channel information block is based on training or AI.

[0859] As an example, the benefits of the above method include: better adaptation to various different application scenarios or terminals, good flexibility and adaptability.

[0860] As an embodiment, the benefits of the above method include improving the accuracy and real-time performance of channel information reporting.

[0861] As an embodiment, the generation of the first channel information block is based on AI, including that the generation of the first channel information block is based on training.

[0862] As an embodiment, the generation of the first channel information block is based on training or AI, including that the generation of the first channel information block uses an AI model.

[0863] As an embodiment, the generation of the first channel information block is based on training or AI, including that the generation of the first channel information block uses information generated based on artificial intelligence or machine learning.

[0864] As an embodiment, the generation of the first channel information block is based on training or AI, including that the generation of the first channel information block uses information generated based on a neural network.

[0865] As an embodiment, the generation of the first channel information block is based on training or AI, including that the generation of the first channel information block uses information generated based on a CNN (Conventional Neural Networks).

[0866] As an embodiment, the generation of the first channel information block is based on training or AI, including that the first channel information block includes information generated based on artificial intelligence or machine learning.

[0867] As an embodiment, the generation of the first channel information block is based on training or AI, including that the first channel information block includes information generated based on a neural network.

[0868] As an embodiment, the generation of the first channel information block is based on training or AI, including that the first channel information block includes information generated based on a CNN (Conventional Neural Networks).

[0869] As an embodiment, the generation of the first channel information block is based on training or AI, including that the reporting configuration of the first channel information block indicates a first identifier.

[0870] As an embodiment, the generation of the first channel information block is based on training or AI includes that the reporting configuration of the first channel information block indicates a first resource set, the first resource set includes at least one RS resource used for measurement of the first channel information block; the generation of the first channel information block includes that the first node or a sender of the first channel information block performs a first operation, an input of the first operation depends on measurement based on the first resource set, and the first channel information block depends on an output of the first operation.

[0871] As an embodiment, the generation of the first channel information block is based on training or AI includes that the reporting configuration of the first channel information block indicates a first identifier, and the generation of the first channel information block includes performing a first operation corresponding to the first identifier indicated by the reporting configuration of the first channel information block.

[0872] As an embodiment, the generation of the first channel information block is based on training or AI includes that the generation of the first channel information block corresponds to a first identifier.

[0873] As an embodiment, an AI training function of a RAN (Radio Access Network) domain is located in a 3GPP RAN domain-specific management function, and an AI inference function is located in a UE.

[0874] As an embodiment, a RAN domain-specific management function provides an AI training function management capability and an AI inference function management capability.

[0875] As an embodiment, an AI training function is located in a RAN domain-specific management function, and an AI inference function is located locally in a gNB.

[0876] As an embodiment, an AI training function management capability is provided by a RAN domain-specific management function, and an AI inference management capability is provided locally by a gNB.

[0877] As an embodiment, MnF refers to a Management Function.

[0878] As an embodiment, an AI training function and an AI inference function are both located in a UE, and the UE provides a training and inference capability.

[0879] As one embodiment, the RAN domain-specific management function provides management capabilities for the AI training function and management capabilities for the AI inference function.

[0880] As one embodiment, the AI training function and the AI inference function are both located at the gNB.

[0881] As one embodiment, the management capabilities for the AI training function and the management capabilities for the AI inference function are both provided locally by the gNB.

[0882] In embodiment 12B, the reporting configuration of the first channel information block indicates a first resource set, the first resource set comprising at least one RS resource used for measurement of the first channel information block; the first channel information block indicates at least one resource in a second resource set. In FIG. 12B, the first resource set comprises resource #1, …, resource #J1; the second resource set comprises resource #1, …, resource #J2; where J1 is a positive integer, J2 is a positive integer.

[0883] As one embodiment, the first channel information block comprises a resource indication used to indicate at least one resource in the second resource set.

[0884] As one embodiment, the first channel information block comprises at least one of a resource indication or RSRP (reference signal received power); the resource indication is used to indicate at least one resource in the second resource set.

[0885] As one embodiment, the reporting configuration of the first channel information block indicates a first resource set, the first resource set comprising at least one RS resource used for measurement of the first channel information block; a first operation performed by the first node or a sender of the first channel information block has an input dependent on measurement based on the first resource set, the first channel information block dependent on an output of the first operation.

[0886] As one embodiment, the first operation performs spatial domain beam prediction for a second resource set based on measurement of the first resource set.

[0887] As one embodiment, the first operation performs spatial domain beam prediction for a second resource set based on measurement of the first resource set, the second resource set comprising resources not belonging to the first resource set.

[0888] As one embodiment, the above method has the benefits of reducing RS overhead and reducing feedback delay.

[0889] As one embodiment, the first operation is based on measurements of the first set of resources for channel information prediction for the second set of resources.

[0890] As one embodiment, the channel information in this disclosure includes beam information.

[0891] As one embodiment, the first operation is based on historic measurements of the first set of resources for temporal beam prediction for the second set of resources.

[0892] As one embodiment, the benefits of the above method include reduced beam feedback delay and improved real-time beam acquisition.

[0893] As one embodiment, the first operation is based on historic measurements of the first set of resources for temporal channel information prediction for the second set of resources.

[0894] As one embodiment, the benefits of the above method include reduced channel information feedback delay and improved real-time channel information acquisition.

[0895] As one embodiment, the input of the first operation further includes the second set of resources.

[0896] As one embodiment, the input of the first operation further includes some or all resources in the second set of resources.

[0897] As one embodiment, the measurements based on the first set of resources include pre-compression channel information and the output of the first operation includes post-compression channel information.

[0898] As one embodiment, the benefits of the above method include channel compression and reduced feedback overhead.

[0899] As one embodiment, the measurements based on the first set of resources include measured channel information and the output of the first operation includes predicted channel information.

[0900] As one embodiment, the measurements based on the first set of resources include measured channel information and the output of the first operation includes spatial beam prediction.

[0901] As one embodiment, the measurements based on the first set of resources include measured channel information and the output of the first operation includes spatial beam prediction for the second set of resources.

[0902] As one embodiment, the resources in the second set of resources comprise at least one of an antenna port, a time-frequency resource, a time-frequency code resource, a beam, an RS resource, a vector, or a matrix.

[0903] As one embodiment, the benefits of the above method include reduced RS overhead and reduced feedback delay.

[0904] As one embodiment, the channel information in this disclosure comprises beam information.

[0905] As one embodiment, the measurement based on the first set of resources comprises current channel information, and the output of the first operation comprises predicted channel information.

[0906] As one embodiment, the measurement based on the first set of resources comprises historic channel information, and the output of the first operation comprises predicted channel information.

[0907] As one embodiment, the measurement based on the first set of resources comprises historic channel information, and the output of the first operation comprises Temporal beam prediction.

[0908] As one embodiment, the measurement based on the first set of resources comprises historic channel information, and the output of the first operation comprises Temporal beam prediction for the second set of resources.

[0909] As one embodiment, the benefits of the above method include reduced channel information feedback delay and improved real-time channel information acquisition.

[0910] As one embodiment, the measurement based on the first set of resources comprises current channel information, and the output of the first operation comprises channel information after a period of time.

[0911] As one embodiment, the measurement based on the first set of resources comprises current channel information, and the output of the first operation comprises future channel information.

[0912] As one embodiment, the measurement based on the first set of resources comprises historic channel information, and the output of the first operation comprises future channel information.

[0913] As one embodiment, the benefits of the above method include improved CSI accuracy and real-time and reduced RS overhead.

[0914] As one embodiment, the measurement based on the first set of resources comprises incomplete channel information, and the output of the first operation comprises complete channel information.

[0915] As one embodiment, the benefits of the above method include reduced RS overhead, improved CSI accuracy and completeness.

[0916] As one embodiment, the measurement based on the first resource set includes channel information of P1 antenna ports, the output of the first operation includes channel information of P2 antenna ports, the P1 and the P2 are positive integers greater than 1 respectively, and the P1 is less than the P2.

[0917] As one sub-embodiment of the above embodiment, the P1 antenna ports are a proper subset of the P2 antenna ports.

[0918] As one sub-embodiment of the above embodiment, the P2 antenna ports belong to the second resource set.

[0919] As one embodiment, the measurement based on the first resource set includes channel information of a first frequency domain resource, the output of the first operation includes channel information of a second frequency domain resource, and the second frequency domain resource includes frequency domain resources not belonging to the first frequency domain resource.

[0920] As one sub-embodiment of the above embodiment, the first frequency domain resource is a proper subset of the second frequency domain resource.

[0921] As one embodiment, how to generate the first channel information block is determined by the manufacturer of the first node or implementation related. Some typical but non-limiting embodiments are described below:

[0922] In one embodiment, the first channel information block includes L1-RSRP or L1-SINR; the first node obtains L1-RSRP or L1-SINR based on measurement for at least one RS resource in the first resource set. Generally, the filtering algorithm of L1-RSRP or L1-SINR is determined by the manufacturer of the first node or implementation related, which can be algorithm implementation or hardware implementation.

[0923] In another embodiment, the first node obtains a channel parameter matrix H r×P for channel measurement for at least one RS resource in the first resource set. r×P The adjusted channel parameter matrix is where Q is the ratio of assumed PDSCH EPRE to NZP CSI-RS EPRE. Under the condition of using a precoding matrix W P×l , the precoded channel parameter matrix is where l is the rank or the number of layers, in one case l is a positive integer no larger than P, in another case the precoding matrix is an identity matrix, in which case P = l. H is calculated using, for example, SINR (Signal Interference Noise Ratio), EESM (Exponential Effective SINR Mapping), or RBIR (Received Block mean mutual Information Ratio) criteria, and then the first channel information block is obtained from the equivalent channel capacity by table lookup or the like. Generally, the calculation of the equivalent channel capacity requires the first node to estimate the interference (including noise), the first resource set includes RS resources for channel measurement and RS resources for interference measurement, and the first node can obtain the interference by measuring at least one RS resource in the first resource set in the present application. Generally, the direct mapping of equivalent channel capacity to CSI depends on the receiver performance, or the modulation method and other hardware-related factors. r×P ·W P×l The equivalent channel capacity, and then the first channel information block is obtained from the equivalent channel capacity by table lookup or the like. Generally, the calculation of the equivalent channel capacity requires the first node to estimate the interference (including noise), the first resource set includes RS resources for channel measurement and RS resources for interference measurement, and the first node can obtain the interference by measuring at least one RS resource in the first resource set in the present application. Generally, the direct mapping of equivalent channel capacity to CSI depends on the receiver performance, or the modulation method and other hardware-related factors.

[0924] In another embodiment, the first node first performs measurement on the RS resources in the first resource set to obtain a channel parameter matrix H r×t where r, t are the number of receive antennas and the number of antenna ports, respectively; at least the channel parameter matrix H r×t or its eigenvectors are input into the first operation in the present application, and the output of the first operation is used to obtain the first channel information block.

[0925] Without loss of generality, the parameters or AI models used by the first operation are determined by the manufacturer of the first node.

[0926] As an embodiment, the first resource set includes one or more RS (Reference Signal) resource sets, and one RS resource set includes one or more RS resources.

[0927] As an embodiment, the first resource set includes at least one of at least one CSI-RS resource set, at least one CSI-SSB (Channel State Information-Synchronization Signal Block) resource set, or at least one CSI-IM (Channel State Information-Interference Measurement) resource set.

[0928] As an embodiment, the first resource set comprises at least one RS resource set for channel measurement, and one RS resource set for channel measurement comprises one or more RS resources.

[0929] As an embodiment, the first resource set comprises at least one RS resource set for channel measurement, and at least one RS resource set for interference measurement; one RS resource set for channel measurement comprises one or more RS resources, and one RS resource set for interference measurement comprises one or more RS resources.

[0930] As an embodiment, the first resource set comprises at least one RS resource set for interference measurement; one RS resource set for interference measurement comprises one or more RS resources.

[0931] As an embodiment, one RS resource set for channel measurement comprises one or more RS resources, and any RS resource in the one RS resource set for channel measurement is a CSI-RS resource or a synchronization signal resource.

[0932] As an embodiment, one RS resource set for interference measurement comprises one or more RS resources.

[0933] As an embodiment, one RS resource set for interference measurement comprises one or more RS resources, and any RS resource in the one RS resource set for interference measurement is a CSI-IM resource or a NZP (non-zero power) CSI-RS resource for interference measurement.

[0934] As an embodiment, the first resource set comprises at least one of a CSI-RS (Channel State Information Reference Signal) resource or a synchronization signal resource.

[0935] As an embodiment, the synchronization signal resource comprises at least a resource occupied by a synchronization signal.

[0936] As an embodiment, the synchronization signal resource is an SSB (Synchronization Signal Block).

[0937] As an embodiment, the synchronization signal resource is an SS / PBCH (synchronization signal / physical broadcast channel) block resource.

[0938] As one embodiment, the reporting configuration of the first channel information block indicates at least one resource configuration, the at least one resource configuration indicating a first resource set.

[0939] As one embodiment, one resource configuration is used for configuring CSI resources.

[0940] As one embodiment, one resource configuration is an IE CSI-ResourceConfig.

[0941] As one embodiment, one resource configuration includes an RRC IE.

[0942] As one embodiment, one resource configuration includes an IE CSI-ResourceConfig.

[0943] As one embodiment, the reporting configuration of the first channel information block indicates an identity of the first resource set.

[0944] As one embodiment, the second resource set is the first resource set.

[0945] As one embodiment, the second resource set includes resources not belonging to the first resource set.

[0946] As one embodiment, the reporting configuration of the first channel information block indicates a first resource set, the first resource set including at least one RS resource used for measurement of the first channel information block; the first channel information block indicating at least one resource and RSRP in a second resource set, the second resource set including resources not belonging to the first resource set.

[0947] As one embodiment, the first node is not required to measure part or all of the resources in the second resource set.

[0948] As one embodiment, the first resource set is used for measurement, and the second resource set is used for prediction.

[0949] As one embodiment, the first resource set is used for measurement, and the second resource set is used for prediction.

[0950] As one embodiment, only the first resource set among the first resource set and the second resource set is used for measurement.

[0951] As one embodiment, only the first resource set among the first resource set and the second resource set is used for measurement includes that only the first resource set among the first resource set and the second resource set is used for measurement by the first node.

[0952] As one embodiment, the first resource set and only the first resource set of the second resource set being used for measurement comprises: the first resource set being used for measurement by the first node, the first node not being required to measure part or all of the second resource set.

[0953] As one embodiment, the first node not being required to measure the second resource set comprises: the first node not measuring part or all of the second resource set.

[0954] As one embodiment, the first node not being required to measure the second resource set comprises: whether the first node measures part or all of the second resource set being implementation-dependent or self-determined by the first node.

[0955] As one embodiment, the second resource set comprises the first resource set and resources other than the first resource set.

[0956] As one embodiment, the first resource set comprises one or more RS resources, the second resource set comprises one or more RS resources, and the second resource set comprises RS resources other than the first resource set.

[0957] As one embodiment, the first resource set comprises a smaller number of resources than the second resource set.

[0958] As one embodiment, the first resource set comprises a smaller number of RS resources than the second resource set.

[0959] As one embodiment, the second resource set comprises resources not belonging to the first resource set.

[0960] As one embodiment, the second resource set comprises antenna ports not belonging to the first resource set.

[0961] As one embodiment, the second resource set comprises resources not belonging to the first resource set, and the resources in the second resource set comprise at least one of antenna ports, TCI states, QCL information, time-frequency resources, time-frequency code resources, beams, RS resources, vectors, or matrices.

[0962] As one embodiment, the second resource set comprises at least one training data set.

[0963] As one embodiment, the second resource set is used for training an AI model.

[0964] As an embodiment, the second set of resources is used for training the first operation in the present application.

[0965] As an embodiment, the second set of resources comprises one or more sets of RS (Reference Signal) resources, and each set of RS resources comprises one or more RS resources.

[0966] As an embodiment, the reporting configuration of the first channel information block indicates a first identity, and the second set of resources depends on the first identity in the reporting configuration of the first channel information block.

[0967] As an embodiment, the second set of resources depending on the first identity comprises that the first identity is used to identify the second set of resources.

[0968] As an embodiment, the second set of resources depending on the first identity comprises that the first identity is used to identify a reference set of resources, and the reference set of resources comprises the second set of resources.

[0969] As an embodiment, the second set of resources depending on the first identity comprises that the first identity is used to identify a reference set of resources, and the reference set of resources comprises the second set of resources, and the reporting configuration of the first channel information block is used to indicate the second set of resources from the reference set of resources.

[0970] As an embodiment, information other than the reporting configuration of the first channel information block indicates the second set of resources.

[0971] As an embodiment, information other than the reporting configuration of the first channel information block indicates the second set of resources.

[0972] As an embodiment, the information other than the reporting configuration of the first channel information block indicating the second set of resources comprises a higher layer parameter.

[0973] As an embodiment, the information other than the reporting configuration of the first channel information block indicating the second set of resources comprises an RRC parameter.

[0974] As an embodiment, the information other than the reporting configuration of the first channel information block indicating the second set of resources comprises part or all of the fields of an RRC IE.

[0975] As an embodiment, the information other than the reporting configuration of the first channel information block indicating the second set of resources comprises a MAC CE.

[0976] As one embodiment, the information outside the reporting configuration of the first channel information block indicating the second set of resources comprises DCI (downlink control information).

[0977] In embodiment 12C, the output of the first operation comprises first CSI, the first channel information block carries the first CSI, and the first CSI is used by a target receiver of the first channel information block as input of a second operation to generate second CSI.

[0978] As one embodiment, the above method has benefits including improved performance of CSI reporting using advantages of the first operation, including more accurate reporting and / or lower overhead.

[0979] As one embodiment, the first CSI is used to generate the first channel information block.

[0980] As one embodiment, the first channel information block comprises the first CSI.

[0981] As one embodiment, the first CSI comprises compressed CSI.

[0982] As one embodiment, the first CSI comprises compressed predicted channel information.

[0983] As one embodiment, the first CSI is used to generate the first channel information block after post-processing.

[0984] As one embodiment, the first channel information block comprises the first CSI after post-processing.

[0985] As one embodiment, the first channel information block carries the first CSI after post-processing.

[0986] As one embodiment, the first CSI is used to generate the first channel information block after truncation and / or quantization.

[0987] As one embodiment, the first channel information block comprises the first CSI after truncation and / or quantization.

[0988] As one embodiment, the first channel information block carries the first CSI after truncation and / or quantization.

[0989] As one embodiment, the first CSI comprises a channel matrix.

[0990] As one embodiment, the first CSI comprises an eigenvector.

[0991] As one embodiment, the first CSI comprises eigenvectors and eigenvalues.

[0992] As one embodiment, the first CSI comprises precoding information.

[0993] As one embodiment, the first CSI comprises non-codebook-based precoding information.

[0994] As one embodiment, the first CSI is used to determine at least one precoding matrix.

[0995] As one embodiment, the first CSI indicates at least one precoding matrix.

[0996] As one embodiment, the precoding matrix is spatial-frequency domain.

[0997] As one embodiment, the precoding matrix is angular-delay domain projection.

[0998] As one embodiment, the first CSI comprises information of relative phase, amplitude and / or coefficients between multiple antenna ports.

[0999] As one embodiment, the first CSI comprises compressed CSI.

[1000] As one embodiment, the first CSI comprises predicted / estimated CSI.

[1001] As one embodiment, the first operation is for CSI compression and the second operation is for CSI recovery.

[1002] As one embodiment, the second CSI comprises recovery of at least part of the input of the first operation.

[1003] As one embodiment, the second CSI comprises a channel matrix.

[1004] As one embodiment, the second CSI comprises eigenvectors and / or eigenvalues.

[1005] As one embodiment, the second CSI comprises a precoding matrix.

[1006] As one embodiment, the second CSI comprises one or more of a channel matrix, eigenvectors, eigenvalues, or a precoding matrix.

[1007] As one embodiment, the target receiver of the first channel information block is a reporting configured transmitter of the first channel information block.

[1008] As one embodiment, the second operation is an inverse operation of the first operation.

[1009] As one embodiment, the second operation is based on training.

[1010] As one embodiment, the training for obtaining the second operation is performed by the target receiver of the first channel information block.

[1011] As one embodiment, the training for obtaining the second operation is performed by an MDA function.

[1012] As one embodiment, the training for obtaining the second operation is performed by an MDAS producer.

[1013] As one embodiment, the training for obtaining the second operation is performed by an NWDAF.

[1014] As one embodiment, the training for obtaining the second operation is performed by a core network.

[1015] As one embodiment, the training for obtaining the second operation is performed by an AI (Artificial Intelligence) training producer.

[1016] As one embodiment, the first operation and the second operation are obtained through different training.

[1017] As one embodiment, the first operation and the second operation are obtained through mutually independent training.

[1018] As one embodiment, the benefits of the above method include saving air interface overhead, having better flexibility, being able to adapt to different terminals, and having better forward compatibility.

[1019] As one embodiment, the first operation and the second operation are obtained through joint training.

[1020] As one embodiment, the benefits of the above method include optimizing performance.

[1021] As one embodiment, the training of the second operation depends on the first operation.

[1022] As one embodiment, the producer of the second operation trains the second operation according to the output of the first operation.

[1023] As one embodiment, the second operation includes inference.

[1024] As one embodiment, the second operation comprises AI inference.

[1025] As one embodiment, the second operation comprises AI inference for CSI.

[1026] As one embodiment, the second operation is AI inference for CSI recovery.

[1027] As one embodiment, the second operation is AI inference for CSI decompression.

[1028] As one embodiment, the second operation is performed by an AI entity of the second node in the present application.

[1029] As one embodiment, the second operation is for an AI function of the second node in the present application.

[1030] As one embodiment, the second operation is for deployment.

[1031] As one embodiment, the second operation is obtained by loading.

[1032] As one embodiment, the second operation is obtained by loading from a core network.

[1033] As one embodiment, the second operation is obtained by loading from a producer.

[1034] As one embodiment, the second operation is obtained by loading from a producer of the second operation.

[1035] As one embodiment, the second operation is obtained by loading from an AL entity producer.

[1036] As one embodiment, the second operation is obtained by loading from an AL function producer.

[1037] As one embodiment, the second operation is obtained by loading from a MnS producer.

[1038] As one embodiment, the second operation is based on artificial intelligence or machine learning.

[1039] As one embodiment, the second operation is based on a neural network.

[1040] As one embodiment, the second operation comprises a decoder for neural network-based CSI compression.

[1041] As one embodiment, the second operation comprises a CNN-based CSI compression encoder.

[1042] As one embodiment, the second operation is performed by a physical layer of the second node.

[1043] As one embodiment, the second operation is performed by a higher layer of the second node.

[1044] Embodiments 13A-13B

[1045] Embodiments 13A-13B respectively illustrate a schematic diagram of the first node deploying a first operation according to one embodiment of the present application; as shown in Figs. 13A-13B respectively.

[1046] In embodiment 13A, the first node makes a request to a first producer to load a first operation, and obtains the first operation from the first producer.

[1047] As one embodiment, the deployment comprises obtaining the first operation.

[1048] As one embodiment, the deployment comprises obtaining an AI entity.

[1049] As one embodiment, the deployment comprises obtaining an AI entity that performs the first operation.

[1050] As one embodiment, the deployment comprises obtaining an AI entity that comprises an AI function that performs the first operation.

[1051] As one embodiment, the deployment comprises loading the first operation.

[1052] As one embodiment, the deployment comprises making a request to load the first operation.

[1053] As one embodiment, the first operation is obtained from a serving cell of the first node.

[1054] As one embodiment, the first operation is obtained from a maintaining base station of a serving cell of the first node.

[1055] As one embodiment, the first operation is obtained from a core network.

[1056] As one embodiment, the first operation is obtained from a first producer.

[1057] As one embodiment, the deployment is done by an AI function.

[1058] As one embodiment, the deployment is done by an AI function deployed at the first node.

[1059] As one embodiment, the deployment is done by an AI deployment function.

[1060] As one embodiment, the deployment is done by an AI deployment function deployed at the first node.

[1061] As one embodiment, the deployment is done by an AI inference function.

[1062] As one embodiment, the deployment is done by an AI inference function deployed at the first node.

[1063] As one embodiment, the deployment is done by an AI entity.

[1064] As one embodiment, the deployment is done by an AI entity deployed at the first node.

[1065] As one embodiment, the deployment is done by an AI entity having a deployment function.

[1066] As one embodiment, the deployment is done by an AI entity having a deployment function deployed at the first node.

[1067] As one embodiment, the deployment is done by an AI entity having an inference function.

[1068] As one embodiment, the deployment is done by an AI entity having an inference function deployed at the first node.

[1069] As one embodiment, the deployment includes obtaining the first operation from a first producer.

[1070] As one embodiment, the deployment includes making a request to a first producer to load the first operation.

[1071] As one embodiment, the deployment includes loading the first operation from a first producer.

[1072] As one embodiment, the first producer generates and provides an AL entity.

[1073] As one embodiment, the first producer generates and provides an AL function.

[1074] As one embodiment, the first producer is a producer of the first operation.

[1075] As one embodiment, the first producer comprises an AL entity producer.

[1076] As one embodiment, the first producer comprises an AL function producer.

[1077] As one embodiment, the first producer comprises an AL deployment producer.

[1078] As one embodiment, the first producer comprises an AL loading producer.

[1079] As one embodiment, the first producer comprises an AL training producer.

[1080] As one embodiment, the first producer comprises an AL inference producer.

[1081] As one embodiment, the first producer comprises a producer of deployment of AL entity.

[1082] As one embodiment, the first producer comprises a producer of loading of AL entity.

[1083] As one embodiment, the first producer comprises a MnS (Management Service) producer.

[1084] As one embodiment, the sender of the second information block is the first producer.

[1085] As one embodiment, the sender of the second information block is different from the first producer.

[1086] As one embodiment, the training for obtaining the first operation is performed by the first producer.

[1087] As one embodiment, the performer of the training for obtaining the first operation is different from the first producer.

[1088] As one embodiment, the AI comprises ML (Machine Learning).

[1089] In embodiment 13B, the first node makes a request to a second producer to load a first operation, and obtains the first operation from the first producer.

[1090] As one embodiment, the deployment comprises obtaining the first operation.

[1091] As one embodiment, the deployment comprises obtaining an AI entity or AI function that performs the first operation.

[1092] As one embodiment, the deployment comprises loading the first operation.

[1093] As one embodiment, the deployment comprises making a request to load the first operation.

[1094] As one embodiment, the deployment is done by an AI function deployed at the first node.

[1095] As one embodiment, the deployment is done by an AI deployment function deployed at the first node.

[1096] As one embodiment, the deployment is done by an AI entity having a deployment function.

[1097] As one embodiment, the second producer generates and provides an AI entity or AI function.

[1098] As one embodiment, the second producer comprises a MnS (Management Service) producer.

[1099] As one embodiment, the second producer comprises a producer of training of an AI model.

[1100] As one embodiment, the second producer is a target receiver of the first channel information block.

[1101] As one embodiment, the second producer is different from a target receiver of the first channel information block.

[1102] As one embodiment, the second producer is a serving cell of the first node.

[1103] As one embodiment, the second producer is a maintaining base station of a serving cell of the first node.

[1104] As one embodiment, the second producer is a core network.

[1105] As one embodiment, the first operation is obtained from loading at a serving cell of the first node.

[1106] As one embodiment, the first operation is obtained from loading at a maintaining base station of a serving cell of the first node.

[1107] As one embodiment, the first operation is obtained from loading at a core network.

[1108] As one embodiment, the obtaining of the training of the first operation is performed by the second producer.

[1109] As one embodiment, the second producer is different from the first producer.

[1110] As one embodiment, the first producer generates and provides an AL entity.

[1111] As one embodiment, the first producer generates and provides an AL function.

[1112] As one embodiment, the first producer is a producer of the first operation.

[1113] As one embodiment, the first producer comprises an AL entity producer.

[1114] As one embodiment, the first producer comprises an AL function producer.

[1115] As one embodiment, the first producer comprises an AL deployment producer.

[1116] As one embodiment, the first producer comprises an AL loading producer.

[1117] As one embodiment, the first producer comprises an AL training producer.

[1118] As one embodiment, the first producer comprises an AL inference producer.

[1119] As one embodiment, the first producer comprises a producer of deployment of an AL entity.

[1120] As one embodiment, the first producer comprises a producer of loading of an AL entity.

[1121] As one embodiment, the first producer comprises a MnS (Management Service) producer.

[1122] Embodiment 14

[1123] Embodiment 14 illustrates a schematic diagram of RAN (Radio Access Network) domain AI / ML function deployment according to one embodiment of the present application; as shown in FIG. 14. The gNB in Embodiment 14 can be replaced by, for example, an eNB, or a network device such as a 6G base station.

[1124] AI / ML related functions include ML training function (also referred to as AI training, or AI / ML training), ML testing function, ML inference (also referred to as AI inference, or AI / ML inference) function, etc. ML training function, ML testing function, ML inference function can be deployed independently, or co-located. The deployment of AI / ML related functions can be implemented by software, such as the download and / or running of executable files; or by software combined with hardware, such as accelerating specific computing units through hardware to improve operation speed or save power consumption.

[1125] For ML training function, it can be deployed in a cross-domain management system, or a domain-specific management system for managing RAN domain or CN (Core Network) domain. For example, for MDA (Management Data Analytics) ML training function, it can be deployed in MDAF (MDA function); for network data analytics ML training, it can be deployed in NWDAF (Network Data Analytics Function), i.e. ML training function is MTLF (Model Training logical function).

[1126] For ML inference function, it can also be deployed in a cross-domain management system, or a domain-specific management system; for example, ML inference function is MDAF, or ML inference function is AnLF (Analytics logical function) in NWDAF.

[1127] Similarly, ML testing function can also be deployed in a cross-domain management system, or a domain-specific management system.

[1128] In embodiment 14, RAN domain ML training function 1402 is located in RAN domain management function 1403; and ML inference function is located in base station, i.e. AI / ML inference function 1404 is located in gNB 1405, AI / ML inference function 1406 is located in gNB 1407, etc.

[1129] In FIG. 14, the management of the ML inference function of the plurality of base stations is completed by the RAN domain management function 1403, i.e., data interaction with the RAN domain MnS (Management Service) consumer / cross-domain management 1401 (as shown by the dashed arrow in FIG. 14).

[1130] Optionally, the management of the ML inference function can also be completed by the base station itself, i.e., each base station can independently interact with the RAN domain MnS consumer / cross-domain management 1401.

[1131] It should be noted that embodiment 14 is only one non-limiting implementation; optionally, the ML training function of the RAN domain can also be deployed at the base station; or optionally, part of the base stations deploy the ML inference function and the ML training function of the RAN domain, and part of the base stations only deploy the ML inference function.

[1132] As an embodiment, one gNB (or base station) in embodiment 14 is the second node of the application.

[1133] As an embodiment, the first processor in the application includes an AL / ML inference function in FIG. 14, i.e., 1404 or 1406.

[1134] Embodiment 15

[1135] Embodiment 15 illustrates a schematic diagram of AI / ML function deployment of a UE according to an embodiment of the application; as shown in FIG. 15. The RAN domain ML training function 1505 in FIG. 15 is optional.

[1136] The UE function 1504 is deployed in the first node of the application, and the UE function 1504 includes an AI / ML inference function 1506; the AI / ML inference function 1506 uses an ML model (also referred to as an AI model) for inference; a ML model is usually trained before being used for AI / ML inference.

[1137] As an embodiment, the first channel information block in the application is obtained through the inference of the AI / ML inference function 1506.

[1138] As an embodiment, the first processor in the application includes an AL / ML inference function 1506 in FIG. 15.

[1139] As an embodiment, the UE function 1504 includes a RAN-domain ML training function 1505 that runs training data through a ML model, derives a related loss, and adjusts parameters of the ML model based on the computed loss; the ML training includes at least one of ML initial training, ML re-training, and reinforcement learning.

[1140] The above embodiments can reduce the complexity of the base station, or save the air interface resources caused by reporting training data; however, the above embodiments put higher requirements on the processing capability of the UE side.

[1141] Optionally, the UE function 1504 further includes a CN-domain ML training function (not included in FIG. 15).

[1142] Optionally, the UE function 1504 further includes an AI / ML deployment function (not included in FIG. 15) for loading ML models and data.

[1143] As an embodiment, the first node indicates whether the ML training function (RAN domain or CN domain) is supported through capability reporting, and the capability reporting is RRC signaling or NAS (Non-Access Stratum) signaling.

[1144] As an embodiment, the ML model and related metadata are loaded by the first node from a network device or a remote server.

[1145] Optionally, the UE function 1504 is an MnS (Management Service) producer that provides data to the CN-domain MnF (Management Function) 1501, and / or the RAN-domain MnF 1502, and / or the cross-domain management system 1503 for management or analysis (as shown by the double-headed arrow 1507).

[1146] Optionally, the UE function 1504 is an MnS consumer that loads data from the CN-domain MnF (Management Function) 1501, and / or the RAN-domain MnF 1502, and / or the cross-domain management system 1503 for AI / ML-related management, such as management data request, ML model activation, and / or ML training, etc. (as shown by the double-headed arrow 1507).

[1147] As one embodiment, the ML model is based on a neural network.

[1148] As one embodiment, the ML model is based on a CNN (Conventional Neural Networks).

[1149] As one embodiment, the ML model is based on a Transformer architecture.

[1150] Embodiment 16

[1151] Embodiment 16 illustrates a schematic diagram of an artificial intelligence or machine learning based processing system according to one embodiment of the present application; as shown in FIG. 16. FIG. 16(a) includes a third processing machine, a fourth processing machine and a fifth processing machine, and FIG. 16(b) includes a third processing machine, a fourth processing machine, a fifth processing machine and a sixth processing machine.

[1152] In embodiment 16(a), the third processing machine sends a first data set to the fourth processing machine, and a second data set to the fifth processing machine; the fourth processing machine generates a target first type parameter set according to the first data set, and sends the generated target first type parameter set to the fifth processing machine; the fifth processing machine processes the second data set using the target first type parameter set to obtain a first type output. In FIG. 16(a), the first type feedback is optional.

[1153] In embodiment 16(b), the third processing machine sends a first data set to the fourth processing machine, and a second data set to the fifth processing machine; the fourth processing machine generates a target first type parameter set according to the first data set, and sends the generated target first type parameter set to the fifth processing machine; the fifth processing machine processes the second data set using the target first type parameter set to obtain a first type output, and sends the first type output to the sixth processing machine. In FIG. 16(b), the first type feedback and the second type feedback are optional.

[1154] As one embodiment, in FIG. 16(a), the fifth processing machine sends the first type output to the second node in the present application.

[1155] As one embodiment, FIG. 16(a) adopts a single side AI model, and the fifth processing machine performs the first operation in the present application.

[1156] As an embodiment, FIG. 16(b) employs a two-sided AI model, the fifth processing machine performs the first operation in the present application, and the sixth processing machine includes the second operation in the present application.

[1157] As an embodiment, the AI includes ML (Machine Learning) inference.

[1158] As an embodiment, the fifth processing machine performs the first operation in the present application.

[1159] As an embodiment, the sixth processing machine includes the second operation in the present application.

[1160] As an embodiment, the fifth processing machine sends first-type feedback to the fourth processing machine, and the first-type feedback is used to trigger recalculation or update of the target first-type parameter group.

[1161] As an embodiment, the sixth processing machine sends second-type feedback to the third processing machine, and the second-type feedback is used to generate the first data set or the second data set, or the second-type feedback is used to trigger sending of the first data set or sending of the second data set.

[1162] As an embodiment, the third processing machine generates the first data set and the second data set according to measurement of first-type wireless signals, and the first-type wireless signals include downlink RS.

[1163] As an embodiment, the fifth processing machine belongs to the first node, and the sixth processing machine belongs to the second node.

[1164] As an embodiment, the first channel information block belongs to the first-type output.

[1165] As an embodiment, the second data set includes the input of the first operation.

[1166] As an embodiment, for the first operation in the present application, the second data set includes information obtained based on reporting configuration of the first channel information block.

[1167] As an embodiment, the first data set includes training data.

[1168] As an embodiment, the fourth processing machine belongs to a producer of the first operation.

[1169] As an embodiment, the fourth processing machine includes an AI training producer.

[1170] As one embodiment, the fourth handler comprises an AI training function.

[1171] As one embodiment, the fourth handler is used for model training, and a trained model is described by the target first-type parameter group.

[1172] As one embodiment, the fourth handler belongs to the first node.

[1173] The above embodiment avoids passing the first data set to the second node.

[1174] As one embodiment, the fourth handler belongs to the second node.

[1175] The above embodiment supports joint training and optimizes system performance.

[1176] As one embodiment, the fourth handler belongs to the core network.

[1177] The above embodiment supports network-wide joint training and further optimizes system performance.

[1178] As one embodiment, the second data set comprises inference data.

[1179] As one embodiment, the fifth handler comprises an AI inference producer.

[1180] As one embodiment, the fifth handler comprises an AI inference function.

[1181] As one embodiment, the fifth handler belongs to the first node.

[1182] As one embodiment, the fifth handler constructs a model according to the target first-type parameter group, and then inputs the second data set into the constructed model to obtain the first-type output.

[1183] As one embodiment, the first operation is described by the target first-type parameter group.

[1184] As one embodiment, the target first-type parameter group is used to construct the first operation.

[1185] As one embodiment, the fifth handler comprises the second operation.

[1186] As one embodiment, the fifth handler generates a recovery data set according to the first-type output, and an error of the recovery data set and the second data set is used to generate the first-type feedback.

[1187] As a sub-embodiment of the above-mentioned embodiment, the generation of the recovery dataset employs a similar second operation.

[1188] As an embodiment, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirement, the fourth processing opportunity recalculates the target first type of parameter group.

[1189] As an embodiment, when the error is too large or the update is too long, the performance of the trained model is considered to be unable to meet the requirement.

[1190] As an embodiment, the target first type of parameter group includes one or more of the following: convolution kernel size, convolution layer number, convolution step, pooling kernel size, pooling kernel step, pooling function, activation function, or feature map number.

[1191] As an embodiment, the target first type of parameter group includes one or more of the following: convolution kernel, pooling kernel, pooling function, activation function, parameters of the pooling function, or parameters of the activation function.

[1192] Embodiment 17

[1193] Embodiment 17 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of the present application; as shown in FIG. 17. FIG. 17 includes a third operation, a fourth operation, a fifth operation, a sixth operation, and a seventh operation. In embodiment 17, the third operation and the fourth operation belong to a first stage, the fifth operation belongs to a second stage, the sixth operation belongs to a third stage, and the seventh operation belongs to a fourth stage. In FIG. 17, the line with an arrow represents the order of the flow.

[1194] As an embodiment, the third operation includes AI training, the fourth operation includes AI testing, the fifth operation includes AI emulation, the sixth operation includes AI entity loading, and the seventh operation includes AI inference.

[1195] As an embodiment, the first stage includes a training phase, the second stage includes an emulation phase, the third stage includes a deployment phase, and the fourth stage includes an inference phase.

[1196] As an embodiment, the first stage includes AI model training.

[1197] As an embodiment, the first stage includes AI model training and AI testing.

[1198] As an embodiment, the AI includes ML (Machine Learning) inference.

[1199] As an embodiment, the AI model training includes initial training and re-training of one or a set of AI entities.

[1200] As an embodiment, the AI model training relies on training data.

[1201] As an embodiment, the AI model training includes AI entity validation.

[1202] As an embodiment, the AI entity validation is used to evaluate the performance of the AI entity.

[1203] As an embodiment, the AI entity validation relies on validation data.

[1204] As an embodiment, if the result of AI entity validation does not meet the expectation, the AI model will be re-trained.

[1205] As an embodiment, the AI testing includes testing the validated AI entity to evaluate the performance of the trained AI model.

[1206] As an embodiment, if the result of AI testing meets the expectation, the AI entity proceeds to the next stage; otherwise, the AI model will be re-trained.

[1207] As an embodiment, the AI testing relies on testing data.

[1208] As an embodiment, the second stage includes AI simulation, which is the inference of the AI entity in a simulation environment.

[1209] As an embodiment, the AI simulation is to estimate the performance of the inference of the AI entity in a simulation environment before using the AI entity.

[1210] As an embodiment, the second stage is optional.

[1211] As one embodiment, the third stage includes AI entity loading for obtaining trained AI entities for desired AI inference functions.

[1212] As one embodiment, the third stage is optional.

[1213] As one embodiment, the third stage is not needed when training functions and inference functions are co-located.

[1214] As one embodiment, the fourth stage includes AI inference.

[1215] As one embodiment, the seventh operation includes the first operation.

[1216] As one embodiment, the seventh operation includes the second operation.

[1217] Embodiment 18

[1218] Embodiment 18 illustrates a structural block diagram of a processing apparatus in a first node according to one embodiment of the present application; as shown in FIG. 18. In FIG. 18, the processing apparatus 1800 in the first node includes a first processor 1801.

[1219] As one embodiment, the first node is a user equipment.

[1220] As one embodiment, the first node is a relay node device.

[1221] As one embodiment, the first processor 1802 includes at least one of {antenna 452, receiver / transmitter 454, receive processor 456, transmit processor 468, multi-antenna receive processor 458, multi-antenna transmit processor 457, controller / processor 459, memory 460, data source 467} in Embodiment 4.

[1222] The first processor 1801 transmits a first information block; transmits a first channel information block;

[1223] In Embodiment 18, the first information block is used to indicate two resource groups, the two resource groups both include at least one processing resource; the generation of the first channel information block corresponds to a first identity; only one of the two resource groups corresponds to the first identity; the generation of the first channel information block occupies M1 processing resources, M1 is a positive integer; the M1 processing resources belong to the resource group corresponding to the first identity among the two resource groups.

[1224] As an example, the resource group corresponding to the first identifier in the two resource groups includes at least M1 unoccupied processing resources.

[1225] As an example, the two resource groups correspond to two different identifiers, and the first identifier is one of the two different identifiers.

[1226] As an example, only one of the two resource groups corresponds to a first type identifier, and the first identifier is a first type identifier.

[1227] As an example, the first resource group is the resource group corresponding to the first identifier among the two resource groups, and the total number of processing resources in the first resource group depends on the first identifier.

[1228] As an example, the first resource group is the resource group corresponding to the first identifier among the two resource groups; the generation of only L1 channel information blocks out of L channel information blocks occupies the processing resources in the first resource group, where L is a positive integer greater than 1 and L1 is a positive integer less than L; the first channel information block is one of the L1 channel information blocks; the L1 channel information blocks satisfy a first condition; the first condition includes: the generation of the channel information block corresponds to the first identifier.

[1229] As one embodiment, the first processor 1801 receives the second information block;

[1230] The second information block includes the reporting configuration of the first channel information block.

[1231] As one embodiment, the reporting configuration of the first channel information block indicates a first resource set, the first resource set including at least one RS resource for measurement of the first channel information block; the first channel information block indicates at least one resource in a second resource set, the second resource set including resources that do not belong to the first resource set.

[1232] As an example, the first processor 1801 receives a signal in the first resource set.

[1233] As one embodiment, the signals in the first resource set include: wireless signals in the first resource set.

[1234] As one embodiment, the signals in the first resource set include: reference signals in the first resource set.

[1235] As an example, the first processor 1801 receives signals from the second source set.

[1236] As one embodiment, the second set of resources comprises one or more RS resources; the signal in the second set of resources comprises a reference signal in the first set of resources.

[1237] As one embodiment, the first processor 1801 performs a first operation, and the first channel information block depends on an output of the first operation.

[1238] As one embodiment, the first operation is training-based or AI-based.

[1239] As one embodiment, the first operation is deployment- requiring.

[1240] As one embodiment, the first operation is obtained by load.

[1241] As one embodiment, the first processor 1801 deploys the first operation.

[1242] Embodiment 19

[1243] Embodiment 19 illustrates a structural block diagram of a processing apparatus in a second node according to an embodiment of the present application; as shown in FIG. 19. In FIG. 19, the processing apparatus 1900 in the second node comprises a second processor 1901.

[1244] As one embodiment, the second node is a base station device.

[1245] As one embodiment, the second node is a user equipment.

[1246] As one embodiment, the second node is a relay node device.

[1247] As one embodiment, the second processor 1901 comprises at least one of {antenna 420, receiver / transmitter 418, receive processor 470, transmit processor 416, multi-antenna receive processor 472, multi-antenna transmit processor 471, controller / processor 475, memory 476} in Embodiment 4.

[1248] The second processor 1901 receives the first information block; receives the first channel information block;

[1249] In Embodiment 19, the first information block is used to indicate two resource groups, the two resource groups both include at least one processing resource; the generation of the first channel information block corresponds to a first identity; only one of the two resource groups corresponds to the first identity; the generation of the first channel information block occupies M1 processing resources, M1 is a positive integer; the M1 processing resources belong to the resource group corresponding to the first identity among the two resource groups.

[1250] As an embodiment, at least M1 processing resources in the resource group corresponding to the first identity among the two resource groups are not occupied.

[1251] As an embodiment, the two resource groups correspond to two different identities respectively, and the first identity is one of the two different identities.

[1252] As an embodiment, only one of the two resource groups corresponds to a first type of identity, and the first identity is one of the first type of identity.

[1253] As an embodiment, a first resource group is the resource group corresponding to the first identity among the two resource groups, and the total number of the processing resources in the first resource group depends on the first identity.

[1254] As an embodiment, a first resource group is the resource group corresponding to the first identity among the two resource groups; only L1 channel information blocks among L channel information blocks occupy processing resources in the first resource group, L is a positive integer greater than 1, and L1 is a positive integer less than L; the first channel information block is one of the L1 channel information blocks; the L1 channel information blocks satisfy a first condition; the first condition includes that the generation of the channel information block corresponds to the first identity.

[1255] As an embodiment, the second processor 1901 transmits a second information block.

[1256] The second information block includes a reporting configuration of the first channel information block.

[1257] As an embodiment, the reporting configuration of the first channel information block indicates a first resource set, the first resource set includes at least one RS resource used for measurement of the first channel information block; the first channel information block indicates at least one resource in a second resource set, the second resource set includes resources not belonging to the first resource set.

[1258] As an embodiment, the second processor 1901 transmits a signal in the first resource set.

[1259] As one embodiment, the signal in the first set of resources comprises a wireless signal in the first set of resources.

[1260] As one embodiment, the signal in the first set of resources comprises a reference signal in the first set of resources.

[1261] As one embodiment, the second processor 1901 transmits a signal in the second set of resources.

[1262] As one embodiment, the second set of resources comprises one or more RS resources; the signal in the second set of resources comprises a reference signal in the first set of resources.

[1263] As one embodiment, the second processor 1901 performs a second operation; wherein a transmitter of the first channel information block performs a first operation, an output of the first operation comprises a first CSI, the first channel information block carries the first CSI, the first CSI is used as an input of the second operation to generate a second CSI.

[1264] As one embodiment, the first operation is training-based or AI-based.

[1265] As one embodiment, the first operation is deployment-needed.

[1266] As one embodiment, the first operation is obtained by load.

[1267] As one embodiment, the second processor 1901 deploys the second operation.

[1268] As one embodiment, the second operation is training-based or AI-based.

[1269] As one embodiment, the second operation is deployment-needed.

[1270] As one embodiment, the second operation is obtained by load.

[1271] Those skilled in the art can understand that all or part of the steps in the foregoing method can be instructed by programs to the relevant hardware, and the programs can be stored in a computer readable storage medium, such as a read-only memory, a hard disk, an optical disk or the like. Alternatively, all or part of the steps of the foregoing embodiments can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the foregoing embodiments can be implemented in the form of hardware or in the form of a software function module, and the present application is not limited to any specific form of combination of software and hardware. The user equipment, terminal and UE in the present application include but are not limited to unmanned aerial vehicles, communication modules on unmanned aerial vehicles, remote control aircraft, aircraft, small aircraft, mobile phones, tablet computers, notebooks, vehicle-mounted communication devices, vehicles, vehicles, RSUs, wireless sensors, network cards, Internet of Things terminals, RFID terminals, NB-IOT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, network cards, vehicle-mounted communication devices, low-cost mobile phones, low-cost tablet computers and other wireless communication devices. The base station or system device in the present application includes but is not limited to macro cellular base stations, micro cellular base stations, small cellular base stations, home base stations, relay base stations, eNBs, gNBs, TRPs (Transmitter Receiver Points), GNSSs, relay satellites, satellite base stations, air base stations, RSUs (Road Side Units), unmanned aerial vehicles, test equipment such as wireless communication devices that simulate part of the functions of base stations or signaling testers, and the like.

[1272] Those skilled in the art will understand that the application can be implemented by other specified forms without departing from the core or essential characteristics thereof. Therefore, the presently disclosed embodiments should in no way be considered as descriptive rather than limiting. The scope of the application is determined by the appended claims rather than the preceding description, and all modifications within the equivalent meaning and range of the claims are considered to be included therein.

Claims

1. A first node configured for wireless communication, the first node comprising: Comprising: a first processor, sending a first information block, or receiving a first information block; the first information block is used to indicate two resource groups, the two resource groups both include at least one processing resource; sending a first channel information block; wherein the generation of the first channel information block corresponds to a first identity; only one resource group of the two resource groups corresponds to the first identity; the generation of the first channel information block occupies M1 processing resources, M1 is a positive integer; the M1 processing resources belong to the resource group of the two resource groups corresponding to the first identity.

2. The first node of claim 1, characterized in that, At least M1 processing resources in the resource group of the two resource groups corresponding to the first identity are not occupied.

3. The first node of claim 1 or 2, wherein, The two resource groups correspond to two different identities respectively, and the first identity is one of the two different identities.

4. The first node of claim 1 or 2, characterized by, Only one resource group of the two resource groups corresponds to a first type of identity, and the first identity is one of the first type of identity.

5. The first node of any of claims 1 to 4, wherein, The first resource group is the resource group of the two resource groups corresponding to the first identity, and the total number of processing resources in the first resource group depends on the first identity.

6. The first node of any one of claims 1 to 5, wherein, The first resource group is the resource group of the two resource groups corresponding to the first identity; only L1 of the L channel information blocks occupy processing resources in the first resource group, L is a positive integer greater than 1, and L1 is a positive integer less than L; The first channel information block is one of the L1 channel information blocks; The L1 channel information blocks satisfy a first condition; The first condition includes that the generation of the channel information block corresponds to the first identity.

7. The first node of any of claims 1-6, wherein, Comprising: the first processor, receiving a second information block; wherein the second information block includes a reporting configuration of the first channel information block.

8. A second node configured for wireless communication, the second node comprising: Comprising: a second processor, receiving a first information block, or sending a first information block; the first information block is used to indicate two resource groups, the two resource groups both include at least one processing resource; receiving a first channel information block; wherein the generation of the first channel information block corresponds to a first identity; only one resource group of the two resource groups corresponds to the first identity; the generation of the first channel information block occupies M1 processing resources, M1 is a positive integer; the M1 processing resources belong to the resource group of the two resource groups corresponding to the first identity.

9. A method in a first node used for wireless communication, characterized by, Comprising: sending a first information block, or receiving a first information block; the first information block is used to indicate two resource groups, the two resource groups both include at least one processing resource; sending a first channel information block; wherein the generation of the first channel information block corresponds to a first identity; only one resource group of the two resource groups corresponds to the first identity; the generation of the first channel information block occupies M1 processing resources, M1 is a positive integer; the M1 processing resources belong to the resource group of the two resource groups corresponding to the first identity.

10. A method in a second node used for wireless communication, characterized by, Comprising: receiving a first information block, or sending a first information block; the first information block is used to indicate two resource groups, the two resource groups both include at least one processing resource; receiving a first channel information block; The generation of the first channel information block corresponds to a first identifier; only one of the two resource groups corresponds to the first identifier; the generation of the first channel information block occupies M1 processing resources, M1 being a positive integer; the M1 processing resources belong to the resource group corresponding to the first identifier among the two resource groups.

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