Method and apparatus for channel information processing in node for wireless communication

Abstract

The present application discloses a method and apparatus for channel information processing in a node for wireless communication. A first node sends a reference information block, the reference information block being used for indicating a first resource group and a second resource group, and the first resource group and the second resource group each comprising at least one first-type resource; and processes first channel information only when a first condition is satisfied, the processing of the first channel information occupying M1 first-type resources in the first resource group and the second resource group, M1 being a positive integer. The first resource group comprises fewer than M1 unoccupied first-type resources; and the first condition includes: the first resource group and the second resource group together comprising at least M1 unoccupied first-type resources.

Description

Method and apparatus for channel information processing in a node for wireless communication TECHNICAL FIELD

[0001] 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 processing 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 initiated 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, processing 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 the processing of channel information needs to occupy certain resources, and it is a key problem to be solved to meet what conditions to process the channel information. 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 a traditional channel information reporting solution. 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 a reference information block, the reference information block being used to indicate a first resource group and a second resource group, the first resource group and the second resource group both including at least one first type of resource;

[0009] only when a first condition is met, processing first channel information, the processing of the first channel information occupying M1 first type of resources in the first resource group and the second resource group, M1 being a positive integer greater than 1;

[0010] wherein the first resource group includes at least one unoccupied first type of resource, and the total number of unoccupied first type of resources in the first resource group is less than M1; the first condition includes that the first resource group and the second resource group together include at least M1 unoccupied first type of resources.

[0011] As an embodiment, the problem to be solved by the present application includes that the processing of channel information needs to occupy certain resources, and it is a key problem to be solved to meet what conditions to process the channel information.

[0012] As an embodiment, the problem to be solved by the present application includes that for the case that the total number of unoccupied first type of resources in a resource group is not enough for the processing of first channel information, it is a key problem to be solved to meet what conditions to process the first channel information.

[0013] As an embodiment, the above method has the advantage of ensuring the consistency of the understanding of the channel information processing between the transceiver.

[0014] As an embodiment, the above method has the advantage of better adapting to different application scenarios or terminals.

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

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

[0017] As an embodiment, the above method has the advantage of fully occupying the resources in the resource groups and improving the resource utilization by using the unoccupied resources in the two resource groups for the processing of the channel information.

[0018] As an embodiment, the above method has the advantage of saving energy consumption.

[0019] As an embodiment, the above method has the advantage of good flexibility.

[0020] According to an aspect of the present application, the first node is a user equipment.

[0021] According to an aspect of the present application, the first node is a relay node.

[0022] According to an aspect of the present application, the first resource group and the second resource group each further include at least one second type of resource, the processing of the first channel information further occupies M2 second type of resources in at least one of the first resource group or the second resource group, M2 being a positive integer; the first condition includes that the second resource group includes at least M3 second type of resources available for the processing of the first channel information, M3 being a positive integer.

[0023] According to an aspect of the present application, the second type of resources available for the processing of the first channel information include unoccupied second type of resources.

[0024] According to an aspect of the present application, the processing of the first channel information corresponds to a first identifier; the second type of resources available for the processing of the first channel information include second type of resources that have been occupied for the first identifier.

[0025] According to an aspect of the present application, the processing of the first channel information corresponds to a first identity, and the first resource group corresponds to the first identity; and the first condition comprises that the second resource group corresponds to the first identity.

[0026] As an embodiment, the above method has the advantage of improving resource utilization.

[0027] According to an aspect of the present application, the processing of the first channel information corresponds to a first identity, and the first resource group corresponds to the first identity, and the first identity is a first type of identity; and the first condition comprises that the second resource group does not correspond to a first type of identity.

[0028] According to an aspect of the present application, the correspondence between the processing of the first channel information and the first identity is indicated by the reference information block.

[0029] According to an aspect of the present application, the correspondence between the processing of the first channel information and the first identity is indicated by a target receiver of the reference information block.

[0030] According to an aspect of the present application, it comprises receiving a reporting configuration of the first channel information.

[0031] According to an aspect of the present application, it comprises sending the first channel information; wherein the processing in the processing of the first channel information comprises updating; when the first condition is met, the first channel information is updated; when the first condition is not met, the first channel information is not updated.

[0032] According to an aspect of the present application, it comprises: when the first condition is met, sending the first channel information; and when the first condition is not met, giving up sending the first channel information; wherein the processing in the processing of the first channel information comprises generating or updating.

[0033] According to an aspect of the present application, the reporting configuration of the first channel information indicates a first resource set, and the first resource set comprises at least one RS resource used for measurement of the first channel information; and the first channel information indicates at least one resource in a second resource set, and the second resource set comprises resources not belonging to the first resource set.

[0034] According to an aspect of the present application, it comprises receiving a signal in the first resource set.

[0035] As an embodiment, the signal in the first resource set comprises a wireless signal in the first resource set.

[0036] As an embodiment, the signal in the first resource set comprises a reference signal in the first resource set.

[0037] According to an aspect of the present application, it is characterized by comprising: receiving a signal in the second source set.

[0038] 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.

[0039] According to an aspect of the present application, it is characterized by comprising: not receiving a signal in the second source set.

[0040] As an embodiment, the benefit of the above method comprises: reducing the overhead required for obtaining channel information.

[0041] As an embodiment, the benefit of the above method comprises: reducing the measurement resources required for obtaining channel information.

[0042] According to an aspect of the present application, the processing of the first channel information comprises: performing a first operation, and the first channel information depends on the output of the first operation.

[0043] As an embodiment, the first operation is a deployment operation.

[0044] As an embodiment, the first operation is obtained by loading.

[0045] As an embodiment, it comprises: deploying the first operation.

[0046] As an embodiment, the benefit of the above method comprises: reserving sufficient degrees of freedom for the first node, adapting to various different scenarios and terminals, and having adaptability and flexibility.

[0047] As an embodiment, the benefit of the above method comprises: the training for the first operation can not be performed at the first node, reducing the demand for processing capability and power consumption of the first node.

[0048] The present application discloses a method in a second node used for wireless communication, characterized by comprising:

[0049] receiving a reference information block, the reference information block being used to indicate a first resource group and a second resource group, the first resource group and the second resource group both comprising at least one first type of resource;

[0050] wherein the sender of the reference information block processes first channel information only when a first condition is satisfied, the processing of the first channel information occupies M1 first-type resources in the first resource group and the second resource group, M1 is a positive integer greater than 1, the first resource group includes at least one unoccupied first-type resource, and the total number of unoccupied first-type resources in the first resource group is less than M1; the first condition includes that the first resource group and the second resource group together include at least M1 unoccupied first-type resources.

[0051] According to an aspect of the present application, the second node is a base station.

[0052] According to an aspect of the present application, the second node is a user equipment.

[0053] According to an aspect of the present application, the second node is a relay node.

[0054] According to an aspect of the present application, the first resource group and the second resource group also each include at least one second-type resource, the processing of the first channel information also occupies M2 second-type resources in at least one of the first resource group or the second resource group, M2 is a positive integer; and the first condition includes that the second resource group includes at least M3 second-type resources available for the processing of the first channel information, M3 is a positive integer.

[0055] According to an aspect of the present application, the second-type resources available for the processing of the first channel information include unoccupied second-type resources.

[0056] According to an aspect of the present application, the processing of the first channel information corresponds to a first identity; and the second-type resources available for the processing of the first channel information include second-type resources that have been occupied for the first identity.

[0057] According to an aspect of the present application, the processing of the first channel information corresponds to a first identity, and the first resource group corresponds to the first identity; and the first condition includes that the second resource group corresponds to the first identity.

[0058] According to an aspect of the present application, the processing of the first channel information corresponds to a first identity, the first resource group corresponds to the first identity, and the first identity is a first-type identity; and the first condition includes that the second resource group does not correspond to a first-type identity.

[0059] According to one aspect of this application, the processing of the first channel information and the correspondence of the first identifier are reported by the first node.

[0060] According to one aspect of this application, the processing of the first channel information and the correspondence of the first identifier are indicated by the target receiver of the reference information block.

[0061] According to one aspect of this application, it is characterized by including: a reporting configuration for transmitting the first channel information.

[0062] According to one aspect of this application, the method includes: receiving the first channel information; wherein the processing of the first channel information includes updating; the first channel information is updated when the first condition is met; and the first channel information is not updated when the first condition is not met.

[0063] According to one aspect of this application, the method includes: receiving the first channel information when the first condition is met; and abandoning the reception of the first channel information when the first condition is not met; wherein the processing of the first channel information includes generating or updating.

[0064] According to one aspect of this application, the second node independently determines whether to receive the first channel information.

[0065] According to one aspect of this application, it is characterized by: monitoring whether the first channel information is transmitted by the sender of the reference information block.

[0066] According to one aspect of this application, the reporting configuration of the first channel information indicates a first resource set, the first resource set including at least one RS resource for measuring the first channel information; the first channel information indicates at least one resource in a second resource set, the second resource set including resources not belonging to the first resource set.

[0067] According to one aspect of this application, the method includes: transmitting a signal in the first resource set.

[0068] According to one aspect of this application, the signals in the first resource set include: wireless signals in the first resource set.

[0069] According to one aspect of this application, the signal in the first resource set includes: a reference signal in the first resource set.

[0070] According to an aspect of the present application, it features comprising: sending a signal in the second source set.

[0071] According to an aspect of the present application, it features that the second source set comprises one or more RS resources; the signal in the second resource set comprises a reference signal in the first resource set.

[0072] According to an aspect of the present application, it features comprising: not sending a signal in the second source set.

[0073] According to an aspect of the present application, it features comprising: performing a second operation; wherein the sender of the reference information block performs a first operation, the output of the first operation comprises a first CSI, the first channel information carries the first CSI, and the first CSI is used as the input of the second operation to generate a second CSI.

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

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

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

[0077] As an embodiment, the second operation is deployment-needed.

[0078] As an embodiment, the second operation is obtained by load.

[0079] As an embodiment, the benefits of the above method include that the second node is reserved with sufficient degrees of freedom to adapt to various different scenarios and terminals, and has adaptability and flexibility.

[0080] As an embodiment, the benefits of the above method include that the training for the second operation can not be performed at the second node, and the demand for the processing capability of the second node and the power consumption are reduced.

[0081] The present application discloses a first node used for wireless communication, which features comprising:

[0082] a first processor, which sends a reference information block, the reference information block being used to indicate a first resource group and a second resource group, the first resource group and the second resource group both comprising at least one first type of resource;

[0083] only when a first condition is satisfied, processing first channel information, the processing of the first channel information occupying M1 first type resources in the first resource group and the second resource group, M1 being a positive integer greater than 1;

[0084] wherein the first resource group comprises at least one unoccupied first type resource, and a total number of unoccupied first type resources in the first resource group is less than M1; the first condition comprises that at least M1 unoccupied first type resources are included in the first resource group and the second resource group.

[0085] The application discloses a second node used for wireless communication, which is characterized by comprising:

[0086] a second processor, receiving a reference information block, the reference information block being used for indicating a first resource group and a second resource group, the first resource group and the second resource group both comprising at least one first type resource;

[0087] wherein only when a first condition is satisfied, a sender of the reference information block processes first channel information, the processing of the first channel information occupying M1 first type resources in the first resource group and the second resource group, M1 being a positive integer greater than 1; the first resource group comprises at least one unoccupied first type resource, and a total number of unoccupied first type resources in the first resource group is less than M1; the first condition comprises that at least M1 unoccupied first type resources are included in the first resource group and the second resource group.

[0088] As one embodiment, compared with a conventional scheme, the application has the following advantages:

[0089] -.guaranteeing consistency of understanding of processing of channel information by a transceiving end;

[0090] -.better adapting to various different application scenarios;

[0091] -.better adapting to various different terminals;

[0092] -.having good flexibility;

[0093] -.having good adaptability;

[0094] -.improving resource utilization rate;

[0095] -.saving energy consumption;

[0096] -.reducing processing delay;

[0097] -.improving processing speed;

[0098] - higher channel information accuracy and real-time performance;

[0099] - lower air interface overhead;

[0100] - enhanced reliability and robustness;

[0101] - enhanced overall system performance. BRIEF DESCRIPTION OF DRAWINGS

[0102] 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:

[0103] FIG. 1 illustrates a flow diagram of reference information block and first channel information, according to one embodiment of the present application;

[0104] FIG. 2 illustrates a schematic diagram of a network architecture, according to one embodiment of the present application;

[0105] 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;

[0106] FIG. 4 illustrates a schematic diagram of a first communication device and a second communication device, according to one embodiment of the present application;

[0107] FIG. 5 illustrates a transmission between a first node and a second node, according to one embodiment of the present application;

[0108] FIGS. 6A-6E illustrate a schematic diagram of a first condition, according to one embodiment of the present application;

[0109] FIGS. 7A-7C illustrate a schematic diagram of a second type of resource usable for processing of the first channel information, according to one embodiment of the present application;

[0110] FIGS. 8A-8B illustrate a schematic diagram of a determination of the processing of the first channel information corresponding to a first identity, according to one embodiment of the present application;

[0111] FIGS. 9A-9B illustrate a schematic diagram of a first resource group and a second resource group, according to one embodiment of the present application;

[0112] FIGS. 10A-10B illustrate a schematic diagram of a first type of resource and a second type of resource, according to one embodiment of the present application;

[0113] FIGS. 11A-11C illustrate a schematic diagram of a determination of the processing of the first channel information corresponding to a first identity, according to one embodiment of the present application;

[0114] FIGS. 12A-12C illustrate a schematic diagram of the first channel information, according to one embodiment of the present application;

[0115] FIGS. 13A-13B show a schematic diagram of the first node deploying a first operation, according to an embodiment of the present application;

[0116] FIG. 14 shows a schematic diagram of RAN (Radio Access Network) domain AI / ML function deployment, according to an embodiment of the present application;

[0117] FIG. 15 shows a schematic diagram of AI / ML function deployment of a UE, according to an embodiment of the present application;

[0118] FIG. 16 shows a schematic diagram of an artificial intelligence or machine learning based processing system, according to an embodiment of the present application;

[0119] FIG. 17 shows a schematic diagram of an artificial intelligence or machine learning based processing system, according to an embodiment of the present application;

[0120] FIG. 18 shows a structural block diagram of a processing device in a first node, according to an embodiment of the present application;

[0121] FIG. 19 shows a structural block diagram of a processing device in a second node, according to an embodiment of the present application. DETAILED DESCRIPTION

[0122] 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 flexibly combine the embodiments in different drawings 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. 6A-19, etc.

[0123] Embodiment 1

[0124] Embodiment 1 shows a flowchart of reference information block and first channel information, 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 steps in the block does not represent a specific time sequence between the steps.

[0125] In Embodiment 1, the first node transmits a reference information block in step 101; and processes first channel information only when a first condition is satisfied in step 102; wherein the reference information block is used to indicate a first resource group and a second resource group, the first resource group and the second resource group both include at least one first type of resource; the processing of the first channel information occupies M1 first type of resources in the first resource group and the second resource group, M1 is a positive integer greater than 1; the first resource group includes at least one first type of resource which is not occupied, and the total number of the first type of resource which is not occupied in the first resource group is less than M1; the first condition includes that there are at least M1 first type of resources which are not occupied in the first resource group and the second resource group.

[0126] As an embodiment, whether the first node processes the first channel information depends on whether a first condition is satisfied; the first node processes the first channel information only when the first condition is satisfied.

[0127] Typically, the processing of the first channel information only when the first condition is satisfied includes: processing the first channel information when the first condition is satisfied; and not processing the first channel information when the first condition is not satisfied.

[0128] Typically, the processing of the first channel information occupies M1 first type of resources which are not occupied in the first resource group and the second resource group.

[0129] Typically, the M1 first type of resources occupied by the processing of the first channel information are M1 first type of resources which are not occupied in the first resource group and the second resource group.

[0130] Typically, the M1 first type of resources occupied by the processing of the first channel information are M1 first type of resources which are not occupied in the first resource group and the second resource group; the M1 first type of resources occupied by the processing of the first channel information include at least one first type of resource which is not occupied in the first resource group and at least one first type of resource which is not occupied in the second resource group.

[0131] As an embodiment, the first channel information 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 one embodiment, the compressed CSI is non-codebook based channel information.

[0135] As one embodiment, the compressed CSI is neither a reporting quantity defined in 3GPP Rel-18 nor a reporting quantity defined in a version before 3GPP Rel-18.

[0136] As one embodiment, a target receiver of the compressed CSI is unaware of channel parameters recovered by the compressed CSI for a transmitter of the compressed CSI.

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

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

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

[0140] As one embodiment, the first channel information includes artificial intelligence or machine learning based channel information.

[0141] As one embodiment, the first channel information includes neural network based channel information.

[0142] As one embodiment, the first channel information includes CNN (Conventional Neural Networks) based channel information.

[0143] As one embodiment, the first channel information includes a channel matrix.

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

[0145] As one embodiment, the first channel information includes confidence information.

[0146] As one embodiment, the first channel information includes beam information.

[0147] As an embodiment, the first channel information 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), an SSBRI (SS / PBCH Block Resource indicator), an RSRP, an SINR (signal-to-noise and interference ratio), a capability index, a TDCP (Time domain channel properties), or a confidence information.

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

[0149] As an embodiment, the first channel information comprises a reporting quantity not defined in 3GPP Rel-18 and before.

[0150] As an embodiment, the first channel information comprises a resource indication used to indicate a beam or a RS (reference signal) resource.

[0151] As an embodiment, the first channel information comprises at least one of a resource indication used to indicate a beam or a RS resource or an RSRP (reference signal received power).

[0152] As an embodiment, the beam information comprises a resource indication used to indicate a beam or a RS resource.

[0153] As an embodiment, the beam information comprises at least one of a resource indication used to indicate a beam or a RS resource or an RSRP (reference signal received power).

[0154] As an embodiment, the resource indication is used to indicate one of a beam, a CSI-RS resource, or a synchronization signal resource.

[0155] As an embodiment, the resource indication is a CRI (CSI-RS Resource Indicator) or a SS / PBCH Block Resource indicator (SSBRI).

[0156] As an embodiment, the synchronization signal resource comprises at least a resource occupied by a synchronization signal.

[0157] As an embodiment, the synchronization signal resource is a SSB (Synchronization Signal Block).

[0158] As an embodiment, the synchronization signal resource is a SS / PBCH (synchronization signal / physical broadcast channel) block resource.

[0159] As an embodiment, the reporting configuration of the first channel information indicates a first resource set, the first resource set comprising at least one RS resource used for measurement of the first channel information; the first channel information indicates at least one RS resource in the first resource set.

[0160] As an embodiment, the reporting configuration of the first channel information indicates a first resource set, the first resource set comprising at least one RS resource used for measurement of the first channel information; the first channel information indicates at least one resource in a second resource set, the second resource set comprising resources not belonging to the first resource set.

[0161] As an embodiment, the M1 is a default value.

[0162] As an embodiment, the M1 is predefined.

[0163] As an embodiment, the M1 is configurable.

[0164] As an embodiment, the M1 is a total number of first-type resources occupied by the processing of the first channel information.

[0165] As an embodiment, the M1 is a total number of first-type resources required by the processing of the first channel information.

[0166] As an embodiment, the processing in the processing of the first channel information comprises derivation.

[0167] As one embodiment, the processing of the first channel information comprises updating.

[0168] As one embodiment, the processing of the first channel information comprises computing.

[0169] As one embodiment, the processing of the first channel information comprises updating or generating; the processing of the first channel information comprises: the first node updating or generating the first channel information based on a derivation output.

[0170] As one embodiment, the processing of the first channel information comprises updating or generating; the processing of the first channel information comprises: updating or generating the first channel information by artificial intelligence or machine learning.

[0171] As one embodiment, the processing of the first channel information comprises updating or generating; the processing of the first channel information comprises: performing a first operation, and updating or generating the first channel information based on an output of the first operation.

[0172] As one embodiment, the processing of the first channel information comprises updating or generating; the processing of the first channel information comprises: performing a first operation, the first channel information depending on an output of the first operation.

[0173] As one embodiment, the processing of the first channel information comprises updating; the not processing of the first channel information comprises the first node not being required to update the first channel information.

[0174] As one embodiment, updating the first channel information comprises generating the first channel information.

[0175] As one embodiment, updating the first channel information comprises computing the first channel information.

[0176] As one embodiment, updating the first channel information comprises generating the first channel information based on a derivation output.

[0177] As one embodiment, updating the first channel information comprises generating the first channel information based on an output of a first operation.

[0178] As one embodiment, updating the first channel information comprises: performing a first operation, generating the first channel information based on an output of the first operation.

[0179] As one embodiment, the updating of the first channel information comprises: performing a first operation, the first channel information depending on an output of the first operation.

[0180] As one embodiment, generating the first channel information comprises computing the first channel information.

[0181] As one embodiment, generating the first channel information comprises deriving the first channel information based on the inference output.

[0182] As one embodiment, generating the first channel information comprises generating the first channel information based on an output of a first operation.

[0183] As one embodiment, generating the first channel information comprises performing a first operation, the first channel information depending on an output of the first operation.

[0184] As one embodiment, processing the first channel information comprises performing a first operation, the first channel information depending on an output of the first operation.

[0185] As one embodiment, the first resource group and the second resource group also comprise at least one second type of resource, the processing of the first channel information also occupying M2 of the second type of resource in at least one of the first resource group or the second resource group, M2 being a positive integer; the first condition also depending on an occupancy of the second type of resource in the second resource group.

[0186] As one embodiment, the occupancy of the second type of resource in the second resource group comprises an occupancy of the second type of resource in the first node.

[0187] As one embodiment, the occupancy of the second type of resource in the second resource group comprises a total number of the second type of resource in the second resource group available for the processing of the first channel information.

[0188] As one embodiment, the occupancy of the second type of resource in the second resource group comprises whether the second resource group comprises at least M3 of the second type of resource available for the processing of the first channel information, M3 being a positive integer.

[0189] As one embodiment, the occupancy of the second type of resource in the second resource group comprises a total number of the second type of resource in the second resource group that is not occupied.

[0190] As one embodiment, the occupancy of the second type of resource in the second resource group comprises whether the total number of the second type of resource in the second resource group that is not occupied is not less than the M3, M3 being a positive integer.

[0191] Typically, the unoccupied second-type resources in the judgment of whether the first condition is satisfied refer to the second-type resources in the resource group that are not occupied.

[0192] Typically, the unoccupied first-type resources in the resource group refer to the second-type resources in the resource group that are not occupied in addition to the already occupied first-type resources.

[0193] Typically, the unoccupied second-type resources in the resource group refer to the second-type resources in the resource group that are not occupied in addition to the already occupied second-type resources.

[0194] As an embodiment, the processing of the first channel information corresponds to a first identity; and the occupation of the second-type resources in the second resource group includes whether the second-type resources in the second resource group that are for the first identity are occupied.

[0195] As an embodiment, the processing of the first channel information corresponds to a first identity; and the occupation of the second-type resources in the second resource group includes whether M3 second-type resources in the second resource group that are for the first identity are occupied, where M3 is a positive integer.

[0196] As an embodiment, a higher-layer parameter is used to indicate the M1.

[0197] As an embodiment, a higher-layer parameter is used to indicate the M2.

[0198] As an embodiment, a higher-layer parameter is used to indicate the M1 and the M2.

[0199] As an embodiment, the first node reports the M1.

[0200] As an embodiment, the first node reports the M2.

[0201] As an embodiment, the first node reports the M1 and the M2.

[0202] As an embodiment, the reference information block indicates the M1.

[0203] As an embodiment, the reference information block indicates the M2.

[0204] As an embodiment, the reference information block indicates the M1 and the M2.

[0205] As an embodiment, the above method has the advantages of simplifying design, better adapting to various application scenarios or terminals, and good flexibility.

[0206] As an embodiment, the processing of the first channel information corresponds to a first identity, and the M1 depends on the first identity.

[0207] As an embodiment, the processing of the first channel information corresponds to a first identity, and the M2 depends on the first identity.

[0208] As an embodiment, the processing of the first channel information corresponds to a first identity, and both the M1 and the M2 depend on the first identity.

[0209] As an embodiment, the method has the advantage of better adaptation to different application scenarios or terminals, and has good flexibility and adaptability.

[0210] As an embodiment, the M1 depending on the first identity includes that the M1 is configured to the first identity.

[0211] As an embodiment, the M1 depending on the first identity includes that, for the first identity, the first node reports the M1.

[0212] As an embodiment, the M1 depending on the first identity includes that the first identity is one of Q1 identities, the Q1 identities respectively correspond to Q1 positive integers, Q1 is a positive integer greater than 1; the M1 is a positive integer corresponding to the first identity among the Q1 positive integers.

[0213] As an embodiment, the M1 depending on the first identity includes that 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 among the Q3 non-negative integers.

[0214] As an embodiment, the M2 depending on the first identity includes that the M2 is configured to the first identity.

[0215] As an embodiment, the M2 depending on the first identity includes that, for the first identity, the first node reports the M2.

[0216] As an embodiment, the M2 depending on the first identity includes that the first identity is one of Q2 identities, the Q2 identities respectively correspond to Q2 positive integers, Q2 is a positive integer greater than 1; the M2 is a positive integer corresponding to the first identity among the Q2 positive integers.

[0217] As an embodiment, the M2 depends on the first identity comprises: the first identity is one of Q4 identities, the Q4 identities respectively correspond to Q4 non-negative integers, Q4 is a positive integer greater than 1; the M2 is one positive integer corresponding to the first identity in the Q4 non-negative integers.

[0218] As an embodiment, the reporting configuration of the first channel information indicates the first resource group and the second resource group.

[0219] As an embodiment, the first channel information occupies at least one first type resource in the first resource group and at least one first type resource in the second resource group; the reporting configuration of the first channel information indicates the number of resource groups required to be occupied by the processing of the first channel information.

[0220] As an embodiment, the reporting configuration of the first channel information indicates the M1.

[0221] As an embodiment, the reporting configuration of the first channel information indicates the M2.

[0222] As an embodiment, the reporting configuration of the first channel information indicates the M1 and the M2.

[0223] As an embodiment, the above method has the benefits of simplifying the design and flexibly indicating the resources required by the processing of the first channel information.

[0224] As an embodiment, the M1 depends on the reporting quantity included in the first channel information.

[0225] As an embodiment, the M2 depends on the reporting quantity included in the first channel information.

[0226] As an embodiment, the M1 and the M2 both depend on the reporting quantity included in the first channel information.

[0227] As an embodiment, the M1 depends on the reporting quantity included in the first channel information comprises: the M1 is configured to the reporting quantity included in the first channel information.

[0228] As an embodiment, the M1 depends on the reporting quantity included in the first channel information comprises: for the reporting quantity included in the first channel information, the first node reports the M1.

[0229] As an example, the M1 depends on the report quantity included in the first channel information includes that the first channel information includes one of T1 report quantities, the T1 report quantities correspond to T1 positive integers respectively, T1 is a positive integer greater than 1; the M1 is one of the T1 positive integers corresponding to the report quantity included in the first channel information.

[0230] As an example, the M1 depends on the report quantity included in the first channel information includes that the first channel information includes one of T2 report quantities, the T2 report quantities correspond to T2 non-negative integers respectively, T2 is a positive integer greater than 1; the M1 is one of the T2 non-negative integers corresponding to the report quantity included in the first channel information.

[0231] As an example, the M2 depends on the report quantity included in the first channel information includes that the M2 is configured to the report quantity included in the first channel information.

[0232] As an example, the M2 depends on the report quantity included in the first channel information includes that the first node reports: for the report quantity included in the first channel information, the M2.

[0233] As an example, the M2 depends on the report quantity included in the first channel information includes that the first channel information includes one of T3 report quantities, the T3 report quantities correspond to T3 positive integers respectively, T3 is a positive integer greater than 1; the M2 is one of the T3 positive integers corresponding to the report quantity included in the first channel information.

[0234] As an example, the M2 depends on the report quantity included in the first channel information includes that the first channel information includes one of T4 report quantities, the T4 report quantities correspond to T4 non-negative integers respectively, T4 is a positive integer greater than 1; the M2 is one of the T4 non-negative integers corresponding to the report quantity included in the first channel information.

[0235] As an example, the above method has the advantages of better adapting to various report quantities and good flexibility.

[0236] Embodiment 2

[0237] Embodiment 2 illustrates a schematic diagram of a network architecture according to an embodiment of the present application, as shown in FIG. 2.

[0238] 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.

[0239] As one embodiment, the first node comprises the UE 201.

[0240] As one embodiment, the second node comprises the node 203.

[0241] As one embodiment, the wireless link between the UE 201 and the node 203 comprises a cellular network link.

[0242] As one embodiment, the sender of the reporting configuration of the first channel information comprises the node 203.

[0243] As one embodiment, the sender of the reference information block comprises the UE 201.

[0244] As one embodiment, the first set of resources comprises one or more RS resources, and the sender of the reference signal in the first set of resources comprises the node 203.

[0245] As one embodiment, the first set of resources comprises one or more RS resources, and the target receiver of the reference signal in the first set of resources comprises the UE 201.

[0246] As one embodiment, the second set of resources comprises one or more RS resources, and the sender of the reference signal in the second set of resources comprises the node 203.

[0247] As one embodiment, the second set of resources comprises one or more RS resources, and the target receiver of the reference signal in the second set of resources comprises the UE 201.

[0248] As one embodiment, both the first set of resources and the second set of resources are in the UE 201.

[0249] As one embodiment, the processing of the first channel information is performed in the UE 201.

[0250] As one embodiment, the sender of the first channel information comprises the UE 201.

[0251] As one embodiment, the target receiver of the first channel information comprises the node 203.

[0252] As one embodiment, the target receiver of the reporting configuration of the first channel information comprises the UE 201.

[0253] As one embodiment, the sender of the reporting configuration of the first channel information comprises the node 203.

[0254] As one embodiment, the target receiver of the first information block comprises the UE 201.

[0255] As one embodiment, the sender of the first information block comprises the node 203.

[0256] Embodiment 3

[0257] Figure 3 illustrates an example of a wireless protocol architecture for a user plane and control plane, according to an embodiment of the application.

[0258] 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 shown, 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.).

[0259] As one embodiment, the wireless protocol architecture in FIG. 3 is applicable to the first node.

[0260] As one embodiment, the wireless protocol architecture in FIG. 3 is applicable to the second node.

[0261] As one embodiment, the higher layer in this application refers to the layer above the physical layer.

[0262] As one embodiment, the reporting of the first channel information is configured to be generated at the RRC sublayer 306.

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

[0264] As one embodiment, the second resource set includes one or more RS resources, and the reference signals in the second resource set are generated at the PHY 301 or the PHY 351.

[0265] As one embodiment, the first channel information is generated at the PHY 301 or the PHY 351.

[0266] As one embodiment, the first channel information is generated at the MAC sublayer 302 or the MAC sublayer 352.

[0267] Embodiment 4

[0268] 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 that communicate with each other in an access network.

[0269] The first communication device 410 includes a controller / processor 475, a memory 476, a receive processor 470, a transmit processor 416, a multi-antenna receive processor 472, a multi-antenna transmit processor 471, a transmitter / receiver 418, and antennas 420.

[0270] 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 multi-antenna transmit processor 457, a multi-antenna receive processor 458, a transmitter / receiver 454, and antennas 452.

[0271] In transmissions from the first communication device 410 to the second communication device 450, at the first communication device 410, upper layer packets from a 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 on 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 of the parallel streams to the 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 time domain multi-carrier symbol streams. The multi-antenna transmit processor 471 then performs transmit analog pre-coding / beamforming operations on the time domain multi-carrier symbol streams. Each transmitter 418 converts the baseband multi-carrier symbol streams provided by the multi-antenna transmit processor 471 into radio frequency signals, and then provides the radio frequency signals to the different antennas 420.

[0272] 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.

[0273] 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.

[0274] 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.

[0275] 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: transmitting a reference information block, the reference information block being used to indicate a first resource group and a second resource group, both the first resource group and the second resource group comprising at least one first type of resource; processing first channel information only when a first condition is met, the processing of the first channel information occupying M1 first type of resources within the first resource group and the second resource group, M1 being a positive integer greater than 1; wherein the first resource group comprises at least one unoccupied first type of resource, a total number of unoccupied first type of resources in the first resource group being less than the M1; the first condition comprising that together the first resource group and the second resource group comprise at least M1 unoccupied first type of resources.

[0276] 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: transmitting a reference information block, the reference information block being used to indicate a first resource group and a second resource group, both the first resource group and the second resource group comprising at least one first type of resource; processing first channel information only when a first condition is met, the processing of the first channel information occupying M1 first type of resources within the first resource group and the second resource group, M1 being a positive integer greater than 1; wherein the first resource group comprises at least one unoccupied first type of resource, a total number of unoccupied first type of resources in the first resource group being less than the M1; the first condition comprising that together the first resource group and the second resource group comprise at least M1 unoccupied first type of resources.

[0277] As one embodiment, the first communication device 410 comprises: at least one processor and at least one memory including a computer program code; the at least one memory and the computer program code are configured to, with the at least one processor, cause the first communication device 410 to perform at least the following: receive a reference information block, the reference information block being used to indicate a first resource group and a second resource group, the first resource group and the second resource group both comprising at least one first type of resource; wherein a sender of the reference information block processes first channel information only when a first condition is met, the processing of the first channel information occupying M1 first type of resources within the first resource group and the second resource group, M1 being a positive integer greater than 1; the first resource group comprising at least one first type of resource which is not occupied, a total number of the first type of resource which is not occupied in the first resource group being less than the M1; the first condition comprising that at least M1 first type of resource which is not occupied is included in the first resource group and the second resource group.

[0278] As one embodiment, the first communication device 410 comprises: a memory storing a computer readable program of instructions which, when executed by at least one processor, causes an action comprising: receiving a reference information block, the reference information block being used to indicate a first resource group and a second resource group, the first resource group and the second resource group both comprising at least one first type of resource; wherein a sender of the reference information block processes first channel information only when a first condition is met, the processing of the first channel information occupying M1 first type of resources within the first resource group and the second resource group, M1 being a positive integer greater than 1; the first resource group comprising at least one first type of resource which is not occupied, a total number of the first type of resource which is not occupied in the first resource group being less than the M1; the first condition comprising that at least M1 first type of resource which is not occupied is included in the first resource group and the second resource group.

[0279] As one embodiment, the first node in the present application comprises the second communication device 450.

[0280] As one embodiment, the second node in the present application comprises the first communication device 410.

[0281] 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 channel information in the present 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 channel information 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 present 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 present application.

[0283] 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 reference signal in the first resource set in the present 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 reference signal in the first resource set in the present application.

[0284] 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 configured to transmit the reference 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 configured to receive the reference information block in the present 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 used for the processing of the first channel information in the present 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 for the sending of the first channel information 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 for the receiving of the first channel information in the present application.

[0287] Embodiment 5

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

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

[0290] For the first node U1, the reference information block is sent in the step S521; the first information block is received in the step S522; the reporting configuration of the first channel information is received in the step S523; the first channel information is processed in the step S524; the first channel information is sent in the step S525.

[0291] In Embodiment 5, the reference information block is used to indicate a first resource group and a second resource group, both of which include at least one first type of resource; the first node U1 processes first channel information only when a first condition is satisfied, the processing of the first channel information occupies M1 first type of resources in the first resource group and the second resource group, M1 is a positive integer greater than 1; the first resource group includes at least one first type of resource which is not occupied, and the total number of the first type of resource which is not occupied in the first resource group is less than M1; the first condition includes that at least M1 first type of resources which are not occupied are included in the first resource group and the second resource group.

[0292] As an embodiment, the first node U1 is the first node in the present application.

[0293] As an embodiment, the second node N1 is the second node in the present application.

[0294] As an embodiment, the air interface between the second node N1 and the first node U1 includes a wireless interface between a base station device and a user equipment.

[0295] As an embodiment, the air interface between the second node N1 and the first node U1 includes a wireless interface between a relay node device and a user equipment.

[0296] As an embodiment, the air interface between the second node N1 and the first node U1 includes a wireless interface between a user equipment and a user equipment.

[0297] As an embodiment, the second node N1 is a serving cell maintaining base station of the first node U1.

[0298] Typically, when the first condition is satisfied, block F52 exists, and the first node U1 processes first channel information.

[0299] As an embodiment, when the first condition is satisfied, block F52 exists, and block F53 exists.

[0300] As an embodiment, when the first condition is satisfied, block F52 exists, and block F53 does not exist.

[0301] As an embodiment, the processing in the processing of the first channel information includes updating; when the first condition is not satisfied, block F52 does not exist, and block F53 exists.

[0302] As an embodiment, when the first condition is not satisfied, both block F52 and block F53 do not exist.

[0303] As one embodiment, the first node U1 transmits the first channel information; wherein the processing in the processing first channel information comprises updating; the first channel information is updated when the first condition is satisfied; the first channel information is not updated when the first condition is not satisfied.

[0304] As one embodiment, the first node U1 transmits the first channel information when the first condition is satisfied; the first node U1 refrains from transmitting the first channel information when the first condition is not satisfied; wherein the processing in the processing first channel information comprises generating or updating.

[0305] As one embodiment, the first channel information is updated comprises: the first channel information is valid.

[0306] As one embodiment, the first channel information is updated comprises: the first channel information is calculated or generated by artificial intelligence or machine learning.

[0307] As one embodiment, the first channel information is updated comprises: the first channel information is different from the latest reporting configured by the reporting configuration of the first channel information.

[0308] As one embodiment, the first channel information is updated comprises: the first channel information can be different from the latest reporting configured by the reporting configuration of the first channel information.

[0309] As one embodiment, the first channel information is updated comprises: the first channel information is not necessarily the same as the latest reporting configured by the reporting configuration of the first channel information.

[0310] As one embodiment, the first channel information is updated comprises: the first channel information is obtained based on measurement of at least one RS resource.

[0311] As one embodiment, the first channel information is updated comprises: measurement of RS resource for at least one of channel measurement or interference measurement of the first channel information is not later than the latest RS occasion of CSI reference resource of the first channel information is used for generation of the first channel information.

[0312] As one embodiment, the first channel information is updated comprises: measurement of RS resource for at least one of channel measurement or interference measurement of the first channel information is not later than the latest RS occasion of CSI reference resource of the first channel information is used for updating the first channel information.

[0313] As one embodiment, the first channel information being non-updated comprises that the first node is not required to update the first channel information.

[0314] As one embodiment, the first node not being expected to update the first channel information comprises that whether the first channel information is actually updated is self-determined by the first node or implementation-dependent.

[0315] As one embodiment, the first channel information being non-updated comprises that the first channel information is not valid.

[0316] As one embodiment, the first channel information being non-updated comprises that the first channel information is not updated based on a latest reporting configured by a reporting configuration of the first channel information.

[0317] As one embodiment, the first channel information being non-updated comprises that the first channel information is identical to a latest reporting configured by a reporting configuration of the first channel information.

[0318] As one embodiment, the first channel information being non-updated comprises that the first channel information is necessarily identical to a latest reporting configured by a reporting configuration of the first channel information.

[0319] As one embodiment, the first channel information being non-updated comprises that the first channel information is irrelevant to a measurement of a latest RS occasion of a CSI reference resource of the first channel information, which is used for at least one of channel measurement or interference measurement of the first channel information.

[0320] As one embodiment, the first channel information being non-updated comprises that the first channel information comprises a default value.

[0321] As one embodiment, the processing the first channel information comprises performing a first operation, and the first channel information depends on an output of the first operation.

[0322] As one embodiment, the first node deploys the first operation.

[0323] As one embodiment, the deploying the first operation comprises obtaining the first operation.

[0324] As one embodiment, the deploying the first operation comprises loading the first operation.

[0325] As one embodiment, the deploying the first operation comprises submitting a request for loading the first operation.

[0326] As one embodiment, the first operation is for CSI prediction, beam prediction, or CSI compression.

[0327] As one embodiment, the first operation is for beam prediction or CSI prediction.

[0328] As one embodiment, the first node performs a first operation, and the second node performs a second operation.

[0329] As one embodiment, the second node performs a second operation; wherein the sender of the reference information block performs a first operation, an output of the first operation includes a first CSI, the first channel information 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.

[0330] As one embodiment, the second node deploys a second operation.

[0331] As one embodiment, the deploying a second operation includes obtaining a second operation.

[0332] As one embodiment, the deploying a second operation includes loading a second operation.

[0333] As one embodiment, the deploying a second operation includes making a request to load a second operation.

[0334] As one embodiment, the first operation is for CSI compression, and the second operation is for CSI recovery.

[0335] As one embodiment, an output of the first operation includes a first CSI, the first channel information carries the first CSI, and the first CSI is used by the second node as an input of a second operation to generate a second CSI.

[0336] As one embodiment, the reference information block is used to indicate a first resource group and a second resource group in the first node.

[0337] As one embodiment, the first resource group and the second resource group are in the first node.

[0338] As one embodiment, the first resource group and the second resource group are in the first processor.

[0339] As one embodiment, the reference information block belongs to capability information of the first node.

[0340] As one embodiment, the reference information block includes capability information of the first node.

[0341] As an embodiment, the reference information block comprises one or more capability parameters of the first node.

[0342] As an embodiment, the reference information block comprises one or more fields in one or more UE(user equipment) capability IE(information element).

[0343] As an embodiment, the reference information block comprises one or more parameters in one or more UE(user equipment) capability IE.

[0344] As an embodiment, the first node transmits capability information of the first node after receiving a UE capability enquiry from a network, the reference information block belongs to the capability information of the first node.

[0345] As an embodiment, the capability information of the first node comprises UECapabilityInformation.

[0346] As an embodiment, the capability information of the first node comprises radio access capability of the first node.

[0347] As an embodiment, the reference information block is used to indicate a first resource group and a second resource group comprises: the reference information block is used to indicate J resource groups, J is a positive integer not less than 2, the first resource group and the second resource group are two resource groups in the J resource groups.

[0348] As an embodiment, the reference information block is used to indicate a first resource group and a second resource group comprises: the first resource group and the second resource group are two resource groups, the reference information block indicates a maximum number of the resource groups, the maximum number of the resource groups is not less than 2.

[0349] As an embodiment, the reference information block is used to indicate a first resource group and a second resource group comprises: the reference information block indicates a total number of the first type of resources in the first resource group or the second resource group.

[0350] As an embodiment, the reference information block is used to indicate a first resource group and a second resource group comprises: the reference information block indicates a maximum number of the first type of resources in the first resource group or the second resource group.

[0351] As an embodiment, the first resource group and the second resource group both comprise at least one first type of resource and at least one second type of resource; the reference information block is used to indicate the first resource group and the second resource group comprising: the reference information block indicating at least one of a total number of the first type of resource in the first resource group or the second resource group, or a total number of the second type of resource in the first resource group or the second resource group.

[0352] As an embodiment, the first resource group and the second resource group both comprise at least one first type of resource and at least one second type of resource; the reference information block is used to indicate the first resource group and the second resource group comprising: the reference information block indicating at least one of a maximum number of the first type of resource in the resource group, or a maximum number of the second type of resource in the resource group.

[0353] As an embodiment, the reference information block indicates the total number of the first type of resource.

[0354] As an embodiment, a total number of the first type of resource in the first resource group or the second resource group is equal to a positive integer obtained by dividing the total number of the first type of resource by 2; the reference information block is used to indicate the first resource group and the second resource group comprising: the reference information block indicating the total number of the first type of resource.

[0355] As an embodiment, the first resource group and the second resource group both comprise at least one first type of resource and at least one second type of resource; a total number of the first type of resource in the first resource group or the second resource group is equal to a positive integer obtained by dividing the total number of the first type of resource by 2; a total number of the second type of resource in the first resource group or the second resource group is equal to a positive integer obtained by dividing the total number of the second type of resource by 2; the reference information block is used to indicate the first resource group and the second resource group comprising: the reference information block indicating at least one of the total number of the first type of resource or the total number of the second type of resource.

[0356] As an embodiment, the first processor in the present application receives a first information block; wherein the first information block is carried by higher layer signaling.

[0357] As an embodiment, the method in the first node in the present application comprises: receiving a first information block; wherein the first information block is carried by higher layer signaling.

[0358] As an embodiment, the second processor in the present application sends a first information block; wherein the first information block is carried by higher layer signaling.

[0359] As an embodiment, the method in the second node in the present application comprises: sending a first information block; wherein the first information block is carried by higher layer signaling.

[0360] As an embodiment, the first information block being carried by higher layer signaling comprises: the first information block comprising one or more higher layer parameters.

[0361] As an embodiment, the first information block being carried by higher layer signaling comprises: the first information block comprising one or more domains in one or more RRC IEs.

[0362] As an embodiment, the first information block being carried by higher layer signaling comprises: the first information block comprising one or more higher layer parameters in one or more RRC IEs.

[0363] As an embodiment, the reference information block being used to indicate the first resource group and the second resource group comprises: the first information block being used to indicate the first resource group and the second resource group, the information indicated by the first information block depending on the information indicated by the reference information block.

[0364] As an embodiment, the reference information block being used to indicate the first resource group and the second resource group comprises: the reference information block indicating the maximum number of the resource groups, the maximum number of the resource groups being no less than 2, the first information block indicating the number of resource groups being 2, the first resource group and the second resource group being the two resource groups indicated by the first information block.

[0365] As an embodiment, the reference information block being used to indicate the first resource group and the second resource group comprises: the reference information block indicating the maximum number of the first type of resources in the resource group; the first information block indicating the total number of the first type of resources in the first resource group or the second resource group; the total number of the first type of resources in the first resource group or the second resource group being equal to or less than the maximum number of the first type of resources in the resource group.

[0366] As an embodiment, the reference information block being used to indicate the first resource group and the second resource group comprises: the reference information block indicating the maximum number of the first type of resources, the first information block indicating the total number of the first type of resources in the first resource group and the second resource group, the total number of the first type of resources in the first resource group and the second resource group being equal to or less than the maximum number of the first type of resources.

[0367] As one embodiment, the first resource group and the second resource group both include at least one first type of resource and at least one second type of resource; the reference information block is used to indicate the first resource group and the second resource group include: the reference information block indicates at least one of a maximum number of the first type of resource, or a maximum number of the second type of resource; the first information block indicates at least one of a total number of the first type of resource in the first resource group and the second resource group, or a total number of the second type of resource in the first resource group and the second resource group; the total number of the first type of resource in the first resource group and the second resource group is equal to or less than the maximum number of the first type of resource; the total number of the second type of resource in the first resource group and the second resource group is equal to or less than the maximum number of the first type of resource.

[0368] As one embodiment, the first resource group and the second resource group both include at least one first type of resource and at least one second type of resource; the reference information block is used to indicate the first resource group and the second resource group include: the reference information block indicates at least one of a maximum number of the first type of resource, or a maximum number of the second type of resource; the first information block indicates at least one of a total number of the first type of resource in the first resource group and the second resource group, or a total number of the second type of resource in the first resource group and the second resource group; the total number of the first type of resource in the first resource group and the second resource group is equal to or less than the maximum number of the first type of resource; the total number of the second type of resource in the first resource group and the second resource group is equal to or less than the maximum number of the first type of resource.

[0369] As one embodiment, the total number of the first type of resource in the first resource group or the second resource group is equal to a positive integer obtained by dividing the total number of the first type of resource by 2.

[0370] As one embodiment, the total number of the second type of resource in the first resource group or the second resource group is equal to a positive integer obtained by dividing the total number of the second type of resource by 2.

[0371] As one embodiment, the total number of the first type of resource in the first resource group or the second resource group is equal to a positive integer obtained by dividing a maximum number of the first type of resource by a maximum number of the resource group.

[0372] As one embodiment, the total number of the second type of resource in the first resource group or the second resource group is equal to a positive integer obtained by dividing a maximum number of the second type of resource by a maximum number of the resource group.

[0373] As an embodiment, the reporting configuration of the first channel information and the first information block are carried by higher layer signaling.

[0374] As an embodiment, the reporting configuration of the first channel information and the first information block are carried by RRC signaling.

[0375] As an embodiment, the reporting configuration of the first channel information and the first information block belong to the same RRC IE.

[0376] As an embodiment, the reporting configuration of the first channel information and the first information block belong to the same IE CSI-ReportConfig.

[0377] As an embodiment, the reporting configuration of the first channel information and the first information block belong to different RRC IEs respectively.

[0378] As an embodiment, the reporting configuration of the first channel information and the first information block respectively include part or all of the fields in different RRC IEs.

[0379] As an embodiment, the reporting configuration of the first channel information is carried by higher layer signaling.

[0380] As an embodiment, the reporting configuration of the first channel information is carried by RRC (Radio Resource Control) signaling.

[0381] As an embodiment, the reporting configuration of the first channel information includes part or all of the fields in one RRC IE (Information Element).

[0382] As an embodiment, the reporting configuration of the first channel information includes part or all of the fields in at least one RRC IE.

[0383] As an embodiment, the reporting configuration of the first channel information includes multiple RRC IEs.

[0384] As an embodiment, the reporting configuration of the first channel information includes part or all of the fields in one or more RRC IEs.

[0385] As an embodiment, the reporting configuration of the first channel information includes part or all of the fields in one IE CSI-ReportConfig.

[0386] As one embodiment, the reporting configuration of the first channel information comprises one or more of the IEs CSI-ReportConfig.

[0387] As one embodiment, the reporting configuration of the first channel information comprises some or all fields in one or more of the IEs CSI-ReportConfig.

[0388] As one embodiment, the reporting configuration of the first channel information comprises some or all fields in the IE ServingCellConfig.

[0389] As one embodiment, the reporting configuration of the first channel information comprises some or all fields in the IE CSI-MeasConfig IE.

[0390] As one embodiment, the reporting configuration of the first channel information comprises some or all fields in the IE ServingCellConfigCommon IE.

[0391] As one embodiment, the reporting configuration of the first channel information comprises some or all fields in the IE ServingCellConfig.

[0392] As one embodiment, the reporting configuration of the first channel information indicates at least one of a RS resource for channel measurement, a RS resource for interference channel measurement, a reporting type, or a reporting quantity.

[0393] As one embodiment, the reporting configuration of the first channel information 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, a reporting type, or a reporting quantity.

[0394] As one embodiment, the reporting configuration of the first channel information 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, a second resource set, a reporting type, or a reporting quantity.

[0395] 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.

[0396] As one sub-embodiment of the above embodiment, the reporting type indicates at least one of periodic reporting, semi-persistent reporting, or aperiodic reporting.

[0397] As one embodiment, the first channel information is one of periodic reporting, semi-persistent reporting, aperiodic reporting, or event-triggered reporting.

[0398] As one embodiment, the event-triggered reporting of the present application comprises UE initiated reporting.

[0399] As one embodiment, a semi-persistent first channel information is activated by a MAC CE.

[0400] As one embodiment, an aperiodic first channel information is triggered by a DCI.

[0401] As one embodiment, an event-triggered first channel information is triggered in case of certain event.

[0402] Embodiments 6A-6E

[0403] Embodiments 6A-6E respectively illustrate a schematic diagram of a first condition according to one embodiment of the present application; as shown in Figs. 6A-6E respectively.

[0404] In embodiment 6A, the first condition comprises: the first resource group and the second resource group collectively comprise at least M1 unoccupied first-type resources, M1 is a positive integer greater than 1.

[0405] As one embodiment, the unoccupied first-type resources comprise: the first-type resources that are not occupied in the first node.

[0406] Typically, the unoccupied first-type resources refer to the first-type resources that are not occupied when judging whether the first condition is satisfied.

[0407] As one embodiment, a first-type resource being unoccupied comprises: the first-type resource is not used for at least one of processing, calculation, or inference.

[0408] As one embodiment, a first-type resource being occupied comprises: the first-type resource has been used for at least one of processing, calculation, or inference.

[0409] As one embodiment, a first-type resource being occupied comprises a first-type resource being not idle.

[0410] As one embodiment, a first-type resource being unoccupied comprises a first-type resource being idle.

[0411] As one embodiment, a first type of resource being occupied includes a first type of resource being used for at least one of computation or inference.

[0412] As one embodiment, a first type of resource not being occupied includes a first type of resource not being used for at least one of computation or inference.

[0413] In embodiment 6B, the first resource group and the second resource group also each include at least one second type of resource, the processing of the first channel information also occupies M2 of the second type of resources in at least one of the first resource group or the second resource group, M2 being a positive integer; the first condition includes that there are at least Ml of the first type of resources not being occupied in the first resource group and the second resource group together, Ml being a positive integer greater than 1, and there are at least M3 of the second type of resources available for the processing of the first channel information in the second resource group, M3 being a positive integer.

[0414] Typically, the processing of the first channel information also occupies M2 of the second type of resources available for the processing of the first channel information in at least one of the first resource group or the second resource group.

[0415] Typically, any of the M2 of the second type of resources occupied by the processing of the first channel information is a second type of resource available for the processing of the first channel information.

[0416] As one embodiment, the first resource group and the second resource group also each include at least one second type of resource, the processing of the first channel information also occupies M2 of the second type of resources in at least one of the first resource group or the second resource group, M2 being a positive integer; there is at least one of the second type of resources available for the processing of the first channel information in the first resource group; the first condition includes that there are at least Ml of the first type of resources not being occupied in the first resource group and the second resource group together, Ml being a positive integer greater than 1, and there are at least M3 of the second type of resources available for the processing of the first channel information in the second resource group, M3 being a positive integer.

[0417] As one embodiment, there is at least one of the second type of resources available for the processing of the first channel information in the first resource group.

[0418] As one embodiment, the processing of the first channel information also occupies M2 of the second type of resources in the first resource group.

[0419] As an embodiment, the processing of the first channel information further occupies M2 second-type resources in the first resource group, and the M3 is 1.

[0420] As an embodiment, the processing of the first channel information further occupies M2 second-type resources in the second resource group, and the M3 is equal to the M2.

[0421] As an embodiment, the M2 is greater than 1, the processing of the first channel information further occupies at least one second-type resource in the first resource group and at least one second-type resource in the second resource group; the total number of the second-type resources in the first resource group and the second resource group occupied by the processing of the first channel information is the M2; the M3 is equal to the M2 minus the total number of the second-type resources in the first resource group available for the processing of the first channel information.

[0422] As an embodiment, the M2 is a default value.

[0423] As an embodiment, the M2 is predefined.

[0424] As an embodiment, the M2 is configurable.

[0425] As an embodiment, the M2 is 1.

[0426] As an embodiment, the M2 is a positive integer greater than 1.

[0427] As an embodiment, the M2 is 1 or a positive integer greater than 1.

[0428] As an embodiment, the M2 is the total number of the second-type resources occupied by the processing of the first channel information.

[0429] As an embodiment, the M2 is the total number of the second-type resources required by the processing of the first channel information.

[0430] As an embodiment, the M3 is predefined.

[0431] As an embodiment, the M3 is 1.

[0432] As an embodiment, the M3 is equal to the M2.

[0433] As an embodiment, the M3 is equal to the M2 minus the total number of the second-type resources in the first resource group available for the processing of the first channel information.

[0434] As one embodiment, the M2 is 1, and the M3 is 1.

[0435] As one embodiment, the M2 is greater than 1, and the M3 is equal to the M2.

[0436] As one embodiment, the M2 is greater than 1, and the M3 is less than the M2; the first resource group includes at least one second type of resource available for the processing of the first channel information, and the total number of the second type of resource available for the processing of the first channel information in the first resource group is less than the M2.

[0437] In embodiment 6C, the processing of the first channel information corresponds to a first identity, and the first resource group corresponds to the first identity; the first condition includes that the second resource group corresponds to the first identity.

[0438] As one embodiment, the first condition is not satisfied when the second resource group corresponds to an identity different from the first identity.

[0439] As one embodiment, whether the first condition is satisfied depends on whether the second resource group corresponds to the first identity.

[0440] As one embodiment, the first resource group includes at least one first type of resource that has been occupied.

[0441] As one embodiment, the first resource group corresponding to the first identity includes that the first resource group includes at least one first type of resource that has been occupied for the first identity.

[0442] As one embodiment, the first resource group includes a plurality of first type of resources and at least one second type of resource; and the first resource group corresponding to the first identity includes that the first resource group includes at least one first type of resource that has been occupied for the first identity.

[0443] As one embodiment, the first resource group includes at least one first type of resource and at least one second type of resource; and the first resource group corresponding to the first identity includes that the first resource group includes at least one second type of resource that has been occupied for the first identity.

[0444] As one embodiment, 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.

[0445] As an embodiment, the first resource group corresponding to the first identity comprises: 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.

[0446] As an embodiment, the first resource group corresponding to the first identity comprises: 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.

[0447] As an embodiment, the first type of resource for which the first identity has been occupied comprises: the first type of resource is used to process information different from the first channel information, and the processing of the information different from the first channel information corresponds to the first identity.

[0448] As an embodiment, the first type of resource for which the first identity has been occupied comprises: the first type of resource is used to process channel information different from the first channel information, and the processing of the channel information different from the first channel information corresponds to the first identity.

[0449] As an embodiment, the first type of resource for which the first identity has been occupied comprises: the first type of resource is identified by the first identity.

[0450] As an embodiment, the first type of resource for which the first identity has been occupied comprises: the first identity is used to identify an AI model, and the first type of resource is used for inference based on the AI model identified by the first identity.

[0451] As an embodiment, the first type of resource for which the first identity has been occupied comprises: the first identity is used to identify an AI entity, and the first type of resource is used for inference based on the AI entity identified by the first identity.

[0452] As an embodiment, the first type of resource for which the first identity has been occupied comprises: 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.

[0453] As an embodiment, the second resource group corresponding to a given identity comprises: the second resource group includes at least one first type of resource for which a given identity has been occupied.

[0454] As a sub-embodiment of the above embodiment, the given identity is the first identity.

[0455] As a sub-example of the above example, the given identity is an identity different from the first identity.

[0456] As an example, the second resource group includes a plurality of first type resources and at least one second type resource; the second resource group corresponding to a given identity includes that the second resource group includes at least one of the first type resources that has been occupied for the given identity.

[0457] As a sub-example of the above example, the given identity is the first identity.

[0458] As a sub-example of the above example, the given identity is an identity different from the first identity.

[0459] As an example, the second resource group includes at least one first type resource and at least one second type resource; the second resource group corresponding to a given identity includes that the second resource group includes at least one of the second type resources that has been occupied for the given identity.

[0460] As a sub-example of the above example, the given identity is the first identity.

[0461] As a sub-example of the above example, the given identity is an identity different from the first identity.

[0462] As an example, the second resource group corresponding to a given identity includes that the given identity is used to identify an AI model, and the second resource group is used for inference based on the AI model identified by the given identity.

[0463] As a sub-example of the above example, the given identity is the first identity.

[0464] As a sub-example of the above example, the given identity is an identity different from the first identity.

[0465] As an example, the second resource group corresponding to a given identity includes that the given identity is used to identify an AI entity, and the second resource group is used for inference based on the AI entity identified by the given identity.

[0466] As a sub-example of the above example, the given identity is the first identity.

[0467] As a sub-example of the above example, the given identity is an identity different from the first identity.

[0468] As an example, the second resource group corresponding to a given identity includes that the given identity is used to identify an AI function, and the second resource group is used for the AI function identified by the given identity.

[0469] As a sub-embodiment of the above-mentioned embodiment, the given identity is the first identity.

[0470] As a sub-embodiment of the above-mentioned embodiment, the given identity is an identity different from the first identity.

[0471] In Embodiment 6D, the processing of the first channel information corresponds to a first identity, the first resource group corresponds to the first identity, and the first identity is a first type of identity; the first condition comprises: the second resource group does not have a first type of resource occupied for the first type of identity.

[0472] As an embodiment, the second resource group does not have a first type of identity corresponding to a first type of resource occupied for the first type of identity.

[0473] As an embodiment, the second resource group comprises at least one first type of resource and at least one second type of resource; the second resource group does not have a first type of identity corresponding to a first type of resource occupied for the first type of identity, and the second resource group does not have a first type of identity corresponding to a second type of resource occupied for the first type of identity.

[0474] As an embodiment, the second resource group does not have a first type of identity corresponding to a first type of resource occupied for the first type of identity comprises: the first type of identity is used to identify an AI model, and the second resource group is not used for inference based on the AI model identified by the first type of identity.

[0475] As an embodiment, the second resource group does not have a first type of identity corresponding to a first type of resource occupied for the first type of identity comprises: the first type of identity is used to identify an AI entity, and the second resource group is not used for inference based on the AI entity identified by the first type of identity.

[0476] As an embodiment, the second resource group does not have a first type of identity corresponding to a first type of resource occupied for the first type of identity comprises: the first type of identity is used to identify an AI function, and the second resource group is not used for the AI function identified by the first type of identity.

[0477] As an embodiment, the first type of resource occupied for the first type of identity comprises: the first type of resource is used to process information corresponding to the first type of identity.

[0478] As an embodiment, the first type of resource occupied for the first type of identity comprises: the first type of resource is used to process channel information corresponding to the first type of identity.

[0479] As an embodiment, the first-type resource that has been occupied for the first-type identifier comprises: the first-type resource is identified by the first-type identifier.

[0480] As an embodiment, the first-type resource that has been occupied for the first-type identifier comprises: the first-type identifier is used to identify an AI model, and the first-type resource is used for inference based on the AI model identified by the first-type identifier.

[0481] As an embodiment, the first-type resource that has been occupied for the first-type identifier comprises: the first-type identifier is used to identify an AI entity, and the first-type resource is used for inference based on the AI entity identified by the first-type identifier.

[0482] As an embodiment, the first-type resource that has been occupied for the first-type identifier comprises: the first-type identifier is used to identify an AI function, and the first-type resource group is used for the AI function identified by the first-type identifier.

[0483] As an embodiment, the second-type resource that has been occupied for the first-type identifier comprises: the second-type resource is used to process information corresponding to the first-type identifier.

[0484] As an embodiment, the second-type resource that has been occupied for the first-type identifier comprises: the second-type resource is used to process channel information corresponding to the first-type identifier.

[0485] As an embodiment, the second-type resource that has been occupied for the first-type identifier comprises: the second-type resource is identified by the first-type identifier.

[0486] As an embodiment, the second-type resource that has been occupied for the first-type identifier comprises: the first-type identifier is used to identify an AI model, and the second-type resource is occupied by the AI model identified by the first-type identifier.

[0487] As an embodiment, the second-type resource that has been occupied for the first-type identifier comprises: the first-type identifier is used to identify an AI entity, and the second-type resource is occupied by the AI entity identified by the first-type identifier.

[0488] As an embodiment, the second-type resource that has been occupied for the first-type identifier comprises: the first-type identifier is used to identify an AI function, and the second-type resource is used for the AI function identified by the first-type identifier.

[0489] As an embodiment, the second type of resource that has been occupied for the first type of identifier comprises: the first type of identifier is used to identify an AI model, and the second type of resource is used to store the AI model identified by the first type of identifier.

[0490] As an embodiment, the second type of resource that has been occupied for the first type of identifier comprises: the first type of identifier is used to identify an AI entity, and the second type of resource is used to store the AI entity identified by the first type of identifier.

[0491] As an embodiment, the second type of resource that has been occupied for the first type of identifier comprises: the first type of identifier is used to identify or indicate a resource set, and the second type of resource is used to store the resource set identified or indicated by the first type of identifier.

[0492] As an embodiment, the second type of resource that has been occupied for the first type of identifier comprises: the first type of identifier is used to identify or indicate a resource set, and the second type of resource is used to store the resource set identified or indicated by the first type of identifier.

[0493] As an embodiment, the second type of resource that has been occupied for the first type of identifier comprises: the first type of identifier is used to identify or indicate a training data set, and the second type of resource is used to store the training data set identified or indicated by the first type of identifier.

[0494] As an embodiment, the second type of resource that has been occupied for the first type of identifier comprises: the first type of identifier is used to identify or indicate a resource set, and the second type of resource is used to store the resource set identified or indicated by the first type of identifier.

[0495] As an embodiment, the first type of identifier is a non-negative integer.

[0496] As an embodiment, the first type of identifier is a string.

[0497] As an embodiment, the first type of identifier is used to identify at least one first type of resource.

[0498] As an embodiment, the first type of identifier is used to identify a resource group, and the resource group comprises at least one first type of resource.

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

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

[0501] As an embodiment, the first type of identifier is used to identify a reporting configuration.

[0502] As an embodiment, the first type of identifier is different from a reporting configuration identifier.

[0503] As an embodiment, the first type of identifier is used to identify an AI model.

[0504] As an embodiment, the first type of identifier is used by the first node to determine an AI model.

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

[0506] As an embodiment, the first type of identifier is used to identify an AI function.

[0507] As an embodiment, the benefit of the above method includes that the identification of an AI model / entity / function by the first type of identifier simplifies the design and unifies the understanding of different AI entities or functions among multiple nodes.

[0508] As an embodiment, the first type of identifier is used to identify or indicate a resource set.

[0509] As an embodiment, the first type of identifier 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.

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

[0511] As an embodiment, the resource set identified or indicated by the first type of identifier includes one or more RS resources.

[0512] As an embodiment, the resource set identified or indicated by the first type of identifier consists of one or more RS resources.

[0513] As an embodiment, the first type of identifier is used to identify or indicate a training data set.

[0514] As an embodiment, the benefit of the above method includes that the identification of an AI training or AI training data set identifies the inference generated by this AI training or AI training data set, establishes consensus among different AI functions, and further simplifies the design.

[0515] In Embodiment 6E, the processing of the first channel information corresponds to a first identity, the first resource group corresponds to the first identity, and the first identity is a first type of identity; and the first condition includes that the second resource group corresponds to the first identity or the second resource group does not correspond to a first type of identity.

[0516] Embodiments 7A-7C

[0517] Embodiments 7A-7C respectively illustrate a diagram of a second type of resource usable for processing of first channel information according to an embodiment of the application; as shown in FIGS. 7A-7C respectively.

[0518] In Embodiment 7A, the second type of resource usable for the processing of the first channel information includes the second type of resource that is not occupied.

[0519] As an embodiment, the first condition includes that the first resource group and the second resource group together include at least Ml of the first type of resource that is not occupied, and the second resource group includes at least M3 of the second type of resource that is not occupied, where M3 is a positive integer.

[0520] As an embodiment, the first condition includes that the first resource group and the second resource group together include at least Ml of the first type of resource that is not occupied, and the second resource group includes at least one of the second type of resource that is not occupied.

[0521] In Embodiment 7B, the processing of the first channel information corresponds to a first identity; and the second type of resource usable for the processing of the first channel information includes the second type of resource that is already occupied for the first identity.

[0522] Typically, the second type of resource that is already occupied includes the second type of resource that is already occupied when determining whether the first condition is satisfied.

[0523] As an embodiment, the first condition includes that the first resource group and the second resource group together include at least Ml of the first type of resource that is not occupied, and the second resource group includes at least M3 of the second type of resource that is already occupied for the first identity, where M3 is a positive integer.

[0524] As an embodiment, the first condition includes that the first resource group and the second resource group together include at least Ml of the first type of resource that is not occupied, and the second resource group includes at least one of the second type of resource that is already occupied for the first identity.

[0525] As an embodiment, the first identity is a non-negative integer.

[0526] As an embodiment, the first identifier is a string.

[0527] As an embodiment, the first identifier is used to identify at least one first type of resource.

[0528] As an embodiment, the first identifier is used to identify a resource group comprising at least one first type of resource.

[0529] As an embodiment, the first identifier is used to identify at least one second type of resource and at least one first type of resource.

[0530] As an embodiment, the first identifier is used to identify a resource group comprising at least one second type of resource and at least one first type of resource.

[0531] As an embodiment, the first identifier is used to identify the first channel information.

[0532] As an embodiment, the first identifier is used to identify a reporting quantity included in the first channel information.

[0533] As an embodiment, the first identifier is used to identify a reporting configuration of the first channel information.

[0534] As an embodiment, the first identifier is different from an identifier of the reporting configuration of the first channel information.

[0535] As an embodiment, the first identifier is used to identify an AI model.

[0536] As an embodiment, the first identifier is used by the first node to determine an AI model.

[0537] As an embodiment, the first identifier is used by the first node to determine an AI model used by the first operation.

[0538] As an embodiment, the first identifier is used to identify an AI entity.

[0539] As an embodiment, the first identifier is used to identify an AI function.

[0540] As an embodiment, the benefit of the above method includes that identifying an AI model / entity / function by the first identifier simplifies the design and unifies the understanding of different AI entities or functions among multiple nodes.

[0541] As an embodiment, the first identifier is used to identify or indicate a resource set.

[0542] As an embodiment, the first identification is used to identify or indicate a resource set, and the measurement of one resource set is used to obtain a training data set.

[0543] As an embodiment, the first identification is used to identify or indicate a resource set.

[0544] As an embodiment, the resource set identified or indicated by the first identification includes one or more RS resources.

[0545] As an embodiment, the resource set identified or indicated by the first identification consists of one or more RS resources.

[0546] As an embodiment, the first identification is used to identify or indicate a training data set.

[0547] As an 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 identified, consensus is established between different AI functions, and the design is further simplified.

[0548] As an embodiment, the second type of resource that has been occupied for the first identification includes that the second type of resource is used to process information different from the first channel information, and the processing of the information different from the first channel information corresponds to the first identification.

[0549] As an embodiment, the second type of resource that has been occupied for the first identification includes that the second type of resource is used to process channel information different from the first channel information, and the processing of the channel information different from the first channel information corresponds to the first identification.

[0550] As an embodiment, the second type of resource that has been occupied for the first identification includes that the second type of resource is identified by the first identification.

[0551] As an embodiment, the second type of resource that has been occupied for the first identification includes that the first identification is used to identify an AI model, and the second type of resource is occupied by the AI model identified by the first identification.

[0552] As an embodiment, the second type of resource that has been occupied for the first identification includes that the first identification is used to identify an AI entity, and the second type of resource is occupied by the AI entity identified by the first identification.

[0553] As an embodiment, the second type of resource that has been occupied for the first identifier comprises that the first identifier is used to identify an AI function, and the second type of resource is used for the AI function identified by the first identifier.

[0554] As an embodiment, the second type of resource that has been occupied for the first identifier comprises that the first identifier is used to identify an AI model, and the second type of resource is used to store the AI model identified by the first identifier.

[0555] As an embodiment, the second type of resource that has been occupied for the first identifier comprises that the first identifier is used to identify an AI entity, and the second type of resource is used to store the AI entity identified by the first identifier.

[0556] As an embodiment, the second type of resource that has been occupied for the first identifier comprises that the first identifier is used to identify or indicate a resource set, and the second type of resource is used to store the resource set identified or indicated by the first identifier.

[0557] As an embodiment, the second type of resource that has been occupied for the first identifier comprises that the first identifier is used to identify or indicate a resource set, and the second type of resource is used to store the resource set identified or indicated by the first identifier.

[0558] As an embodiment, the second type of resource that has been occupied for the first identifier comprises that the first identifier is used to identify or indicate a training data set, and the second type of resource is used to store the training data set identified or indicated by the first identifier.

[0559] As an embodiment, the second type of resource that has been occupied for the first identifier comprises that the first identifier is used to identify or indicate a resource set, and the second type of resource is used to store the resource set identified or indicated by the first identifier.

[0560] As an embodiment, the processing of the given information corresponds to the first identifier comprises that the reporting configuration of the given information indicates a first identifier, and the first identifier to which the processing of the given information corresponds is the first identifier indicated by the reporting configuration of the given information.

[0561] As a sub-embodiment of the above-mentioned embodiment, the given information is the information different from the first channel information.

[0562] As one of the above embodiments, the given information is the information different from the first channel information.

[0563] As one embodiment, the processing of the given information corresponding to the first identification comprises: the given information depends on the output of a first operation corresponding to the first identification.

[0564] As one of the above embodiments, the given information is the information different from the first channel information.

[0565] As one of the above embodiments, the given information is the channel information different from the first channel information.

[0566] As one embodiment, the processing of the given information corresponding to the first identification comprises: the given information is processed in an AI entity identified by the first identification, or the given information is used for an AI function identified by the first identification.

[0567] As one of the above embodiments, the given information is the information different from the first channel information.

[0568] As one of the above embodiments, the given information is the channel information different from the first channel information.

[0569] In embodiment 7C, the processing of the first channel information corresponds to a first identification; the second type of resources available for the processing of the first channel information include: the second type of resources not occupied, and the second type of resources already occupied for the first identification.

[0570] As one embodiment, the first condition comprises: the resource group includes at least M2 second type of resources not occupied, or the resource group includes at least M2 second type of resources already occupied for the first identification, M2 is a positive integer.

[0571] As one embodiment, the second type of resources in the resource group not already occupied for the first identification comprises: any second type of resource in the resource group is not occupied.

[0572] As one embodiment, the second type of resources in the resource group not already occupied for the first identification comprises: any second type of resource already occupied in the resource group is not for the first identification.

[0573] As an embodiment, the second type of resource in the resource group that is not occupied for the first identity includes: any occupied second type of resource in the resource group is for an identity different from the first identity.

[0574] As an embodiment, the M2 second type of resources in the resource group that are not occupied for the first identity includes: any second type of resource in the resource group is not occupied.

[0575] As an embodiment, the M2 second type of resources in the resource group that are not occupied for the first identity includes: the total number of the second type of resources in the resource group that are occupied for the first identity is less than the M2.

[0576] As an embodiment, the second type of resource occupied for a given identity includes: the second type of resource is used to process information different from the first channel information, and the processing of the information different from the first channel information corresponds to the given identity.

[0577] As an embodiment, the second type of resource occupied for a given identity includes: the second type of resource is used to process channel information different from the first channel information, and the processing of the channel information different from the first channel information corresponds to the given identity.

[0578] As an embodiment, the second type of resource occupied for a given identity includes: the second type of resource is identified by the given identity.

[0579] As an embodiment, the second type of resource occupied for a given identity includes: the given identity is used to identify an AI model, and the second type of resource is occupied by the AI model identified by the given identity.

[0580] As an embodiment, the second type of resource occupied for a given identity includes: the given identity is used to identify an AI entity, and the second type of resource is occupied by the AI entity identified by the given identity.

[0581] As an embodiment, the second type of resource occupied for a given identity includes: the given identity is used to identify an AI function, and the second type of resource is used for the AI function identified by the given identity.

[0582] As an embodiment, the second type of resource occupied for a given identity includes: the given identity is used to identify an AI model, and the second type of resource is used to store the AI model identified by the given identity.

[0583] As one embodiment, the second type of resource that has been occupied for a given identity comprises: the given identity is used to identify an AI entity, and the second type of resource is used to store the AI entity identified by the given identity.

[0584] As one embodiment, the second type of resource that has been occupied for a given identity comprises: the given identity is used to identify or indicate a resource set, and the second type of resource is used to store the resource set identified or indicated by the given identity.

[0585] As one embodiment, the second type of resource that has been occupied for a given identity comprises: the given identity is used to identify or indicate a resource set, and the second type of resource is used to store the resource set identified or indicated by the given identity.

[0586] As one embodiment, the second type of resource that has been occupied for a given identity comprises: the given identity is used to identify or indicate a resource set, and the second type of resource is used to store the resource set identified or indicated by the given identity.

[0587] As one embodiment, the second type of resource that has been occupied for a given identity comprises: the given identity is used to identify or indicate a resource set, and the second type of resource is used to store the resource set identified or indicated by the given identity.

[0588] As one embodiment, the given identity corresponding to the processing of the given information comprises: the reporting configuration of the given information indicates the given identity, and the given identity corresponding to the processing of the given information is the given identity indicated by the reporting configuration of the given information.

[0589] As one sub-embodiment of the above-mentioned embodiment, the given information is the information different from the first channel information.

[0590] As one sub-embodiment of the above-mentioned embodiment, the given information is the channel information different from the first channel information.

[0591] As one embodiment, the given identity corresponding to the processing of the given information comprises: the given information depends on the output of a first operation, and the first operation corresponds to the given identity.

[0592] As one sub-embodiment of the above-mentioned embodiment, the given information is the information different from the first channel information.

[0593] As a sub-embodiment of the above-mentioned embodiment, the given information is the channel information different from the first channel information.

[0594] As an embodiment, the processing of the given information corresponding to the given identification comprises that the processing of the given information uses an AI model identified by the given identification, or the given information is processed in an AI entity identified by the given identification, or the given information is used for an AI function identified by the given identification.

[0595] As a sub-embodiment of the above-mentioned embodiment, the given information is the information different from the first channel information.

[0596] As a sub-embodiment of the above-mentioned embodiment, the given information is the channel information different from the first channel information.

[0597] As an embodiment, the benefits of the above-mentioned method include: minimizing the occupation of the resource group, and improving the resource utilization rate.

[0598] As an embodiment, the benefits of the above-mentioned method include: saving energy consumption.

[0599] As an embodiment, the benefits of the above-mentioned method include: improving the processing speed.

[0600] As an embodiment, the benefits of the above-mentioned method include: reducing the processing delay.

[0601] Embodiments 8A-8B

[0602] Embodiments 8A-8B respectively illustrate a schematic diagram of the determination of the processing of the first channel information corresponding to the first identification according to an embodiment of the present application; respectively as shown in FIGS. 8A-8B.

[0603] In embodiment 8A, the processing of the first channel information and the correspondence of the first identification are reported by the first node.

[0604] As an embodiment, the reference information block is used to indicate the processing of the first channel information and the correspondence of the first identification.

[0605] As an embodiment, the reference information block is used to indicate the reporting quantity corresponding to the first identification, and the first channel information includes the reporting quantity corresponding to the first identification.

[0606] As an embodiment, the information block different from the reference information block is used to indicate the processing of the first channel information and the correspondence of the first identification.

[0607] As an embodiment, an information block different from the reference information block is used to indicate the processing of the first channel information and the correspondence of the first identity.

[0608] In embodiment 8B, the processing of the first channel information and the correspondence of the first identity are indicated by a target receiver of the reference information block.

[0609] As an embodiment, a reporting configuration of the first channel information indicates the processing of the first channel information and the correspondence of the first identity.

[0610] As an embodiment, a reporting configuration of the first channel information indicates the processing of the first channel information and the correspondence of the first identity by indicating the first identity.

[0611] As an embodiment, a target receiver of the reference information block indicates the processing of the first channel information and the correspondence of the first identity in an information block different from the reporting configuration of the first channel information.

[0612] As an embodiment, the processing of the first channel information and the correspondence of the first identity are indicated by a target receiver of the reference information block through higher layer signaling.

[0613] As an embodiment, the processing of the first channel information and the correspondence of the first identity are indicated by a target receiver of the reference information block through physical layer signaling.

[0614] Embodiments 9A-9B

[0615] Embodiments 9A-9B respectively illustrate a schematic diagram of a first resource group and a second resource group according to an embodiment of the present application; as shown in FIGS. 9A-9B respectively.

[0616] In embodiment 9A, the first resource group and the second resource group both include at least one first type of resource.

[0617] As an embodiment, the total number of the first type of resource included in the first resource group and the second resource group respectively is different.

[0618] As an embodiment, the total number of the first type of resource included in the first resource group and the second resource group respectively is the same.

[0619] As an embodiment, the first resource group includes one first type of resource, and the second resource group includes one first type of resource.

[0620] As one embodiment, the first resource group includes more than one first type of resource, and the second resource group includes more than one first type of resource.

[0621] As one embodiment, the first resource group includes one or more first type of resource, and the second resource group includes one or more first type of resource.

[0622] As one embodiment, the first resource group and the second resource group are used for at least one of processing, computation, or inference.

[0623] As one embodiment, the first resource group and the second resource group both include a processing unit, and the processing unit includes one or more first type of resource.

[0624] As one embodiment, either of the first resource group and the second resource group is a processing unit, and the processing unit includes one or more first type of resource.

[0625] As one embodiment, the first resource group and the second resource group are used for at least one of processing, computation, or inference, the first type of resource is a processing unit, and the first resource group and the second resource group both include one or more first type of resource.

[0626] As one embodiment, either of the first resource group and the second resource group is a processing unit group, and the processing unit group includes one or more processing unit; the first type of resource is the processing unit.

[0627] For the processing unit in the above embodiments, some typical but non-limiting implementations are described as follows:

[0628] As one embodiment, the processing unit is used for computation or generating channel information.

[0629] As one embodiment, the processing unit is used for processing channel information.

[0630] As one embodiment, the processing unit is a CSI processing unit.

[0631] As one embodiment, the processing unit is an AI processing unit (APU).

[0632] As one embodiment, the processing unit is a Central Processing Unit.

[0633] As one embodiment, the processing unit is a GPU (graphics processing unit).

[0634] As one embodiment, the processing unit is a general-purpose processing unit.

[0635] As one embodiment, the processing unit is a general-purpose graphics processing unit (GPGPU).

[0636] In embodiment 9B, the first resource group and the second resource group each include at least one first-type resource and at least one second-type resource.

[0637] As one embodiment, the first resource group includes one or more first-type resources and one or more second-type resources, and the second resource group includes one or more first-type resources and one or more second-type resources.

[0638] As one embodiment, the first resource group includes more than one first-type resource and one second-type resource.

[0639] As one embodiment, the first resource group includes more than one first-type resource and more than one second-type resource.

[0640] As one embodiment, the second resource group includes more than one first-type resource and one second-type resource.

[0641] As one embodiment, the second resource group includes more than one first-type resource and more than one second-type resource.

[0642] As one embodiment, the first resource group and the second resource group each include a different total number of second-type resources.

[0643] As one embodiment, the first resource group and the second resource group each include the same total number of second-type resources.

[0644] As one embodiment, the second-type resources are used for storage; and the first-type resources are used for at least one of processing, computation, or inference.

[0645] As one embodiment, any of the first resource group and the second resource group is a set of at least one first-type resource and at least one second-type resource.

[0646] As one embodiment, any of the first resource group and the second resource group is a union of a set of at least one first-type resource and at least one second-type resource.

[0647] As an embodiment, any of the first resource group and the second resource group comprises a processing unit, the processing unit comprising at least one first type of resource and at least one second type of resource.

[0648] As an embodiment, any of the first resource group and the second resource group comprises at least one processing unit, the processing unit comprising at least one first type of resource and at least one second type of resource.

[0649] For the processing unit in the above embodiments, some typical but non-limiting implementations are described as follows:

[0650] As an embodiment, the processing unit is used for computing or generating channel information.

[0651] As an embodiment, the processing unit is used for processing channel information.

[0652] As an embodiment, the processing unit is a CSI processing unit.

[0653] As an embodiment, the processing unit is an AI processing unit (APU).

[0654] As an embodiment, the processing unit is a Central Processing Unit.

[0655] As an embodiment, the processing unit is a GPU (graphics processing unit).

[0656] As an embodiment, the processing unit is a general-purpose processing unit.

[0657] As an embodiment, the processing unit is a GPGPU (General-purpose computing on graphics processing units).

[0658] Embodiments 10A-10B

[0659] Embodiments 10A-10B respectively illustrate a schematic diagram of a first type of resource and a second type of resource according to an embodiment of the present application; as shown in Figs. 10A-10B respectively.

[0660] In Embodiment 10A, the first type of resource is used for at least one of processing, computing or inference; the second type of resource is used for storage.

[0661] As an embodiment, the second type of resources are used for storage, and the first type of resources are used for processing.

[0662] As an embodiment, the second type of resources are used for storage, and the first type of resources are used for computation.

[0663] As an embodiment, the second type of resources are used for storage, and the first type of resources are used for inference.

[0664] As an embodiment, the second type of resources are used for storage, and the first type of resources are processing units.

[0665] As an embodiment, the second type of resources are used for storage.

[0666] As an embodiment, the second type of resources include storage units or storage spaces.

[0667] As an embodiment, the second type of resources include storage resources.

[0668] As an embodiment, the second type of resources include memories.

[0669] As an embodiment, the second type of resources are used for storing part or all of the parameters used in processing of the first channel information.

[0670] As an embodiment, the second type of resources are used for storing part or all of the parameters of an AI model.

[0671] As an embodiment, the second type of resources are used for storing at least one of part or all of the parameters of an AI model, part or all of inference intermediate results, or part or all of inference outputs.

[0672] As an embodiment, the second type of resources are used for storing one or more of convolution kernel size, number of convolution layers, convolution step length, pooling kernel size, pooling kernel step length, pooling function, activation function, or number of feature maps.

[0673] As an embodiment, the second type of resources are used for storing one or more of convolution kernel, pooling kernel, pooling function, activation function, parameters of the pooling function, or parameters of the activation function.

[0674] As an embodiment, the second type of resources are used for storing part or all of the parameters in the target first type of parameter group in Embodiment 16.

[0675] As an embodiment, one second type of resource has been occupied including that one second type of resource is not idle.

[0676] As one embodiment, a second-class resource being unoccupied includes a second-class resource being free.

[0677] As one embodiment, a second-class resource being occupied includes a second-class resource being used for storing.

[0678] As one embodiment, a second-class resource being unoccupied includes a second-class resource not being used for storing.

[0679] As one embodiment, a second-class resource being occupied includes: a second-class resource being 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.

[0680] As one embodiment, the first-class resource is used for computation.

[0681] As one embodiment, the first-class resource is used for inference.

[0682] As one embodiment, the first-class resource is used for at least addition and multiplication operations.

[0683] As one embodiment, the first-class resource is used for at least convolution operation.

[0684] As one embodiment, the first-class resource is a processing unit.

[0685] As one embodiment, the first-class resource includes a computing resource.

[0686] As one embodiment, the first-class resource is used for computing or generating the first channel information.

[0687] As one embodiment, a first-class resource being occupied includes a first-class resource not being free.

[0688] As one embodiment, a first-class resource being unoccupied includes a first-class resource being free.

[0689] As one embodiment, a first-class resource being occupied includes: a first-class resource being used for at least one of computation or inference.

[0690] As one embodiment, a first-class resource being unoccupied includes: a first-class resource not being used for at least one of computation or inference.

[0691] In embodiment 10B, a processing unit includes at least one first-class resource and at least one second-class resource.

[0692] As one embodiment, a processing unit comprises at least one second type of resource and at least one first type of resource; the second type of resource is used for storage; the first type of resource is used for at least one of processing, computation, or inference.

[0693] As one embodiment, a processing unit comprises at least one second type of resource and at least one first type of resource, any of the first resource group and the second resource group is a processing unit, the processing of the first channel information occupies M1 first type of resources and M2 second type of resources in two processing units.

[0694] For the processing unit in the above embodiments, some typical but non-limiting implementations are described as follows:

[0695] As one embodiment, the processing unit is used for computing or generating channel information.

[0696] As one embodiment, the processing unit is used for processing channel information.

[0697] As one embodiment, the processing unit is a CSI processing unit.

[0698] As one embodiment, the processing unit is an AI processing unit (APU).

[0699] As one embodiment, the processing unit is a Central Processing Unit (CPU).

[0700] As one embodiment, the processing unit is a GPU (graphics processing unit).

[0701] As one embodiment, the processing unit is a general-purpose processing unit.

[0702] As one embodiment, the processing unit is a GPGPU (General-purpose computing on graphics processing units).

[0703] Embodiments 11A-11C

[0704] Embodiments 11A-11C respectively illustrate a schematic diagram of processing of first channel information corresponding to a first identity according to one embodiment of the present application; as shown in Figures 11A-11C.

[0705] In Embodiment 11A, the first identity to which the processing of the first channel information corresponds includes a first identity indicated by a reporting configuration of the first channel information, and the first identity to which the processing of the first channel information corresponds is the first identity indicated by the reporting configuration of the first channel information.

[0706] As one embodiment, the above method has the benefit of simplifying design, and allowing flexible configuration of a first identity to which first channel information corresponds.

[0707] In Embodiment 11B, the first identity to which the processing of the first channel information corresponds includes a first operation performed by the first node or a sender of the reference information block, and the first channel information depends on an output of the first operation, and the first operation corresponds to the first identity.

[0708] As one embodiment, the first operation is based on training or AI.

[0709] As one embodiment, the first operation includes inference.

[0710] As one embodiment, the first operation includes an AI entity.

[0711] As one embodiment, the first operation includes an AI entity for inference.

[0712] As one embodiment, the first operation includes a part of an AI entity.

[0713] As one embodiment, the first operation includes a part of an AI entity for inference.

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

[0715] As one embodiment, the inference includes AI inference.

[0716] As one embodiment, the first operation includes AI inference for obtaining CSI.

[0717] As one embodiment, the first operation includes AI inference for obtaining channel information.

[0718] As one embodiment, the first operation includes AI inference for obtaining information other than channel information.

[0719] As one embodiment, the first operation is for an AI function.

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

[0721] As one embodiment, the first operation is performed by a higher layer of the first node.

[0722] As one embodiment, a model of the first operation is obtained by training.

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

[0724] As one embodiment, the training of the first operation is performed by a sender of the first information set.

[0725] As one embodiment, the training of the first operation is performed by a core network.

[0726] As one embodiment, the training of the first operation is performed by an AI training producer.

[0727] As one embodiment, the training of the first operation is performed by an MDA function.

[0728] As one embodiment, the training of the first operation is performed by an MDA function located at the first node.

[0729] As one embodiment, the training of the first operation is performed by an MDA function located at a sender of the first information set.

[0730] As one embodiment, the training of the first operation is performed by a NWDAF.

[0731] As one embodiment, the training of the first operation is performed by an MDAS producer.

[0732] As one embodiment, the training of the first operation is performed by an MnS producer.

[0733] As one embodiment, the first operation is deployment required.

[0734] As one embodiment, the first operation is obtained by loading.

[0735] As one embodiment, the first operation is obtained by loading from a serving cell of the first node.

[0736] As one embodiment, the first operation is obtained by loading from a maintaining base station of a serving cell of the first node.

[0737] As one embodiment, the first node deploys the first operation.

[0738] As one embodiment, the first operation is not required to be deployed.

[0739] As one embodiment, the first operation is obtained by loading from a core network.

[0740] As one embodiment, the first operation is based on artificial intelligence or machine learning.

[0741] As one embodiment, the first operation is based on a neural network.

[0742] As one embodiment, the first operation is based on conventional neural networks.

[0743] As one embodiment, the first operation comprises pre-processing.

[0744] As one embodiment, the first operation comprises post-processing.

[0745] As one embodiment, the post-processing comprises DFT.

[0746] As one embodiment, the post-processing comprises quantization.

[0747] As one embodiment, the post-processing comprises 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.

[0748] As one embodiment, the post-processing comprises truncation and / or padding.

[0749] As one embodiment, the first operation comprises one or more of convolution, pooling, concatenation and activation.

[0750] As one embodiment, the first operation comprises a fully connected layer.

[0751] As an embodiment, the first operation comprises a pooling layer.

[0752] As an embodiment, the first operation comprises at least one convolution layer.

[0753] As an embodiment, the first operation comprises at least one encoding layer.

[0754] As an embodiment, an encoding layer comprises at least one convolution layer and a pooling layer.

[0755] As an embodiment, in 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 one vector into an output.

[0756] 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.

[0757] 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.

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

[0759] As an embodiment, the output of the first operation comprises information other than channel information.

[0760] As an embodiment, the output of the first operation comprises a channel matrix.

[0761] As an embodiment, the output of the first operation comprises CSI.

[0762] As an embodiment, the output of the first operation comprises compressed CSI.

[0763] As an embodiment, the output of the first operation comprises non-codebook-based CSI.

[0764] As an embodiment, the output of the first operation comprises a channel impulse response.

[0765] As an embodiment, the output of the first operation comprises a small-scale characteristic.

[0766] As an embodiment, the output of the first operation is used to determine one or more precoding matrices.

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

[0768] As one embodiment, the first operation comprises AI or ML based encoder for CSI compression.

[0769] As one embodiment, the first operation comprises AI or ML based CSI prediction or CSI estimation.

[0770] As one embodiment, the first operation comprises AI or ML based beam management.

[0771] As one embodiment, the beam management comprises at least one of beam prediction, beam switching, beam failure prediction, or beam failure recovery.

[0772] As one embodiment, the input to the first operation comprises measurements obtained based on at least one RS resource.

[0773] As one embodiment, the input to the first operation comprises channel measurements obtained based on CSI-RS resource or SS / PBCH block resource.

[0774] As one embodiment, the input to the first operation comprises interference measurements obtained based on CSI-RS resource or CSI-IM resource.

[0775] As one embodiment, the input to the first operation comprises received quality of at least one physical channel or physical signal.

[0776] As one embodiment, the input to the first operation comprises a matrix or vector obtained after pre-processing a channel matrix based on measurements of at least one RS resource.

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

[0778] As one embodiment, the AI function comprises AI training function.

[0779] As one embodiment, the AI function comprises AI management function.

[0780] As one embodiment, the AI function comprises AI performance monitoring.

[0781] As one embodiment, the AI comprises ML (Machine Learning).

[0782] As one embodiment, the AI comprises both AI and ML.

[0783] As one embodiment, the AI comprises an AI or ML.

[0784] 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.

[0785] As one embodiment, the pre-processing comprises a DFT (Discrete Fourier Transform).

[0786] As one embodiment, the pre-processing comprises one or more of matrix decomposition, matrix transformation or projection.

[0787] 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.

[0788] As one embodiment, the pre-processing comprises truncation and / or padding.

[0789] As one embodiment, the pre-processing comprises mapping.

[0790] As one embodiment, the pre-processing comprises mapping to a vector.

[0791] As one embodiment, the pre-processing comprises labeling.

[0792] As one embodiment, the labeling refers to labeling with a label.

[0793] As one embodiment, the post-processing comprises a DFT.

[0794] As one embodiment, the post-processing comprises quantization.

[0795] 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.

[0796] As one embodiment, the post-processing comprises truncation and / or padding.

[0797] As one embodiment, one encoding layer comprises at least one convolutional layer and one pooling layer.

[0798] 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.

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

[0800] 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.

[0801] 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.

[0802] 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.

[0803] 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.

[0804] 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.

[0805] 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.

[0806] 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.

[0807] 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.

[0808] As an embodiment, the first operation corresponding to the first identifier includes that a training for obtaining the first operation is identified by the first identifier.

[0809] As an embodiment, the first operation corresponding to the first identifier includes that a data set for training of the first operation is identified by the first identifier.

[0810] 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, further simplifying the design.

[0811] 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.

[0812] As an embodiment, benefits of the above method include that RS overhead is reduced, and feedback delay is reduced.

[0813] 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.

[0814] 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.

[0815] As an embodiment, benefits of the above method include that beam feedback delay is reduced, and real-time performance of beam acquisition is improved.

[0816] 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.

[0817] 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.

[0818] As an embodiment, an output of the first operation is used to generate the first channel information.

[0819] As an embodiment, the first channel information includes an output of the first operation.

[0820] As an embodiment, the first channel information includes a post-processed output of the first operation.

[0821] As one embodiment, the first channel information comprises a truncated and / or quantized output of the first operation.

[0822] As one embodiment, the output of the first operation is post-processed before being used to generate the first channel information.

[0823] As one embodiment, the output of the first operation is truncated and / or quantized before being used to generate the first channel information.

[0824] 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.

[0825] 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.

[0826] As one embodiment, the output of the first operation comprises a first CSI, which is used to generate the first channel information.

[0827] As one embodiment, the benefits of the above method include improved CSI reporting performance, including more accurate reporting and / or lower overhead, by leveraging the advantages of the first operation.

[0828] As one embodiment, the first channel information comprises the first CSI.

[0829] As one embodiment, the first CSI is post-processed before being used to generate the first channel information.

[0830] As one embodiment, the first channel information comprises the first CSI after post-processing.

[0831] As one embodiment, the first channel information carries the first CSI after post-processing.

[0832] As one embodiment, the first CSI is truncated and / or quantized before being used to generate the first channel information.

[0833] As one embodiment, the first channel information comprises the first CSI after truncation and / or quantization.

[0834] As one embodiment, the first channel information carries the first CSI after truncation and / or quantization.

[0835] As one embodiment, the first CSI comprises one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, and TDCP.

[0836] 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.

[0837] As one embodiment, the first CSI comprises a channel matrix.

[0838] As one embodiment, the first CSI comprises an eigenvector.

[0839] As one embodiment, the first CSI comprises an eigenvector and an eigenvalue.

[0840] As one embodiment, the first CSI comprises precoding information.

[0841] As one embodiment, the first CSI comprises non-codebook-based precoding information.

[0842] As one embodiment, the first CSI is used to determine at least one precoding matrix.

[0843] As one embodiment, the first CSI indicates at least one precoding matrix.

[0844] As one embodiment, the precoding matrix is spatial-frequency domain.

[0845] As one embodiment, the precoding matrix is angular-delay domain projection.

[0846] As one embodiment, the first CSI comprises information of relative phase, amplitude and / or coefficients among multiple antenna ports.

[0847] As one embodiment, the first CSI comprises compressed CSI.

[0848] As one embodiment, the first CSI comprises predicted / estimated CSI.

[0849] As one embodiment, how to generate or update the first channel information 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:

[0850] The first node first measures the RS resource for channel measurement to obtain a channel parameter matrix H r×twhere 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.

[0851] If the first channel information requires the first node to estimate interference (including noise), the first node can measure RS resources for interference measurement to obtain a measured interference.

[0852] In one implementation, the measured interference is also input into the AI model.

[0853] 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.

[0854] Without loss of generality, the AI model or the parameters of the AI model used to generate the first channel information are determined by the manufacturer of the first node.

[0855] In embodiment 11C, the processing of the first channel information corresponding to the first identification includes: the processing of the first channel information uses the AI model identified by the first identification, or the first channel information is processed in the AI entity identified by the first identification, or the first channel information is used for the AI function identified by the first identification.

[0856] As one embodiment, the processing of the first channel information uses the AI model identified by the first identification.

[0857] As one embodiment, the first channel information is processed in the AI entity identified by the first identification.

[0858] As one embodiment, the first channel information is used for the AI function identified by the first identification.

[0859] Embodiments 12A-12C

[0860] Embodiments 12A-12C respectively illustrate a schematic diagram of the first channel information according to one embodiment of the present application; as shown in Figures 12A-12C respectively.

[0861] In embodiment 12A, the processing of the first channel information is based on training or AI.

[0862] As one embodiment, the benefits of the above method include: better adaptation to various application scenarios or terminals, good flexibility and adaptability.

[0863] As an embodiment, the benefits of the above method include improving the accuracy and real-time performance of channel information reporting.

[0864] As an embodiment, the processing of the first channel information is based on AI includes that the processing of the first channel information is based on training.

[0865] As an embodiment, the processing of the first channel information is based on training or AI includes that the processing of the first channel information uses an AI model.

[0866] As an embodiment, the processing of the first channel information is based on training or AI includes that the processing of the first channel information uses information generated based on artificial intelligence or machine learning.

[0867] As an embodiment, the processing of the first channel information is based on training or AI includes that the processing of the first channel information uses information generated based on a neural network.

[0868] As an embodiment, the processing of the first channel information is based on training or AI includes that the processing of the first channel information uses information generated based on a CNN (Conventional Neural Networks).

[0869] As an embodiment, the processing of the first channel information is based on training or AI includes that the first channel information includes information generated based on artificial intelligence or machine learning.

[0870] As an embodiment, the processing of the first channel information is based on training or AI includes that the first channel information includes information generated based on a neural network.

[0871] As an embodiment, the processing of the first channel information is based on training or AI includes that the first channel information includes information generated based on a CNN (Conventional Neural Networks).

[0872] As an embodiment, the processing of the first channel information is based on training or AI includes that the reporting configuration of the first channel information indicates a first identifier.

[0873] As an embodiment, the processing of the first channel information is training-based or AI-based, including: a reporting configuration of the first channel information indicates a first resource set, the first resource set including at least one RS resource used for measurement of the first channel information; the processing of the first channel information includes the first node or a sender of the reference information block performing a first operation, an input of the first operation depending on measurement based on the first resource set, the first channel information depending on an output of the first operation.

[0874] As an embodiment, the processing of the first channel information is training-based or AI-based, including: a reporting configuration of the first channel information indicates a first identification, the processing of the first channel information including performing a first operation, the first operation corresponding to the first identification indicated by the reporting configuration of the first channel information.

[0875] As an embodiment, the processing of the first channel information is training-based or AI-based, including: the processing of the first channel information corresponding to a first identification.

[0876] 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.

[0877] As an embodiment, a RAN domain-specific management function provides an AI training function management capability and an AI inference function management capability.

[0878] As an embodiment, an AI training function is located in a RAN domain-specific management function, and an AI inference function is located in a gNB locally.

[0879] As an embodiment, a management capability of an AI training function is provided by a RAN domain-specific management function, and a management capability of an AI inference is provided by a gNB locally.

[0880] As an embodiment, MnF refers to Management Function.

[0881] As an embodiment, an AI training function and an AI inference function are both located in a UE, wherein the UE provides a training and inference capability.

[0882] As one embodiment, the RAN domain-specific management function provides a management capability of the AI training function and a management capability of the AI inference function.

[0883] As one embodiment, both the AI training function and the AI inference function are located at the gNB.

[0884] As one embodiment, both the management capability of the AI training function and the management capability of the AI inference function are provided locally by the gNB.

[0885] In embodiment 12B, the reporting configuration of the first channel information indicates a first resource set, the first resource set comprising at least one RS resource used for measurement of the first channel information; the first channel information 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.

[0886] As one embodiment, the first channel information comprises a resource indication used to indicate at least one resource in the second resource set.

[0887] As one embodiment, the first channel information comprises at least one of a resource indication used to indicate at least one resource in the second resource set, or a RSRP (reference signal received power).

[0888] As one embodiment, the reporting configuration of the first channel information indicates a first resource set, the first resource set comprising at least one RS resource used for measurement of the first channel information; a first operation performed by the first node or a sender of the reference information block, an input of the first operation dependent on measurement based on the first resource set, the first channel information dependent on an output of the first operation.

[0889] As one embodiment, the first operation is spatial domain beam prediction for a second resource set based on measurement of the first resource set.

[0890] As one embodiment, the first operation is 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.

[0891] As one embodiment, the above method has the benefits of reduced RS overhead and reduced feedback delay.

[0892] As one embodiment, the first operation is channel information prediction for a second resource set based on measurement of the first resource set.

[0893] As an embodiment, the channel information in the present disclosure includes beam information.

[0894] As an 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.

[0895] As an embodiment, the benefits of the above method include reduced beam feedback delay and improved real-time beam acquisition.

[0896] As an 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.

[0897] As an embodiment, the benefits of the above method include reduced channel information feedback delay and improved real-time channel information acquisition.

[0898] As an embodiment, the input of the first operation further includes the second set of resources.

[0899] As an embodiment, the input of the first operation further includes some or all resources in the second set of resources.

[0900] As an 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.

[0901] As an embodiment, the benefits of the above method include applicability to channel compression and reduced feedback overhead.

[0902] As an 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.

[0903] As an 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.

[0904] As an 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.

[0905] As an embodiment, the resources in the second set of resources include at least one of antenna ports, time-frequency resources, time-frequency code resources, beams, RS resources, vectors, or matrices.

[0906] As an embodiment, benefits of the above method include reduced RS overhead, reduced feedback latency.

[0907] As an embodiment, the channel information in this application includes beam information.

[0908] As an embodiment, the measurement based on the first set of resources includes current channel information, and the output of the first operation includes predicted channel information.

[0909] As an embodiment, the measurement based on the first set of resources includes historic channel information, and the output of the first operation includes predicted channel information.

[0910] As an embodiment, the measurement based on the first set of resources includes historic channel information, and the output of the first operation includes Temporal beam prediction.

[0911] As an embodiment, the measurement based on the first set of resources includes historic channel information, and the output of the first operation includes Temporal beam prediction for the second set of resources.

[0912] As an embodiment, benefits of the above method include reduced channel information feedback latency, improved real-time channel information acquisition.

[0913] As an embodiment, the measurement based on the first set of resources includes current channel information, and the output of the first operation includes channel information after a period of time.

[0914] As an embodiment, the measurement based on the first set of resources includes current channel information, and the output of the first operation includes future channel information.

[0915] As an embodiment, the measurement based on the first set of resources includes historic channel information, and the output of the first operation includes future channel information.

[0916] As an embodiment, benefits of the above method include improved CSI accuracy and real-time, reduced RS overhead.

[0917] As an embodiment, the measurement based on the first set of resources includes incomplete channel information, and the output of the first operation includes complete channel information.

[0918] As an embodiment, benefits of the above method include reduced RS overhead, improved CSI accuracy and completeness.

[0919] As one embodiment, the measurement based on the first resource set comprises channel information of P1 antenna ports, and the output of the first operation comprises channel information of P2 antenna ports, wherein P1 and P2 are positive integers greater than 1, and P1 is less than P2.

[0920] As one sub-embodiment of the above embodiment, the P1 antenna ports are a proper subset of the P2 antenna ports.

[0921] As one sub-embodiment of the above embodiment, the P2 antenna ports belong to the second resource set.

[0922] As one embodiment, the measurement based on the first resource set comprises channel information of a first frequency domain resource, and the output of the first operation comprises channel information of a second frequency domain resource, wherein the second frequency domain resource comprises frequency domain resources not belonging to the first frequency domain resource.

[0923] As one sub-embodiment of the above embodiment, the first frequency domain resource is a proper subset of the second frequency domain resource.

[0924] As one embodiment, how to generate or update the first channel information is determined by the manufacturer of the first node, or is implementation-dependent. Some typical but non-limiting implementations are described below:

[0925] In one implementation, the first channel information comprises L1-RSRP or L1-SINR; the first node obtains L1-RSRP or L1-SINR based on measurement of 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 is implementation-dependent, which can be algorithmically implemented or hardware- implemented.

[0926] In another implementation, the first node obtains a channel parameter matrix H r×P for channel measurement of at least one RS resource in the first resource set. r×P The power-adjusted channel parameter matrix is wherein Q is the assumed ratio of 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 is obtained from the equivalent channel capacity by, for example, table lookup. r×P • W P×l The equivalent channel capacity, and then the first channel information is obtained from the equivalent channel capacity by, for example, table lookup. Generally, the calculation of the equivalent channel capacity requires the first node to estimate the interference (including noise), and 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 the equivalent channel capacity to CSI depends on the receiver performance, or the modulation mode and other hardware-related factors.

[0927] 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.

[0928] Without loss of generality, the parameters or AI models used by the first operation are determined by the manufacturer of the first node.

[0929] 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.

[0930] 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.

[0931] 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.

[0932] 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.

[0933] 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.

[0934] 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.

[0935] As an embodiment, one RS resource set for interference measurement comprises one or more RS resources.

[0936] 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.

[0937] 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.

[0938] As an embodiment, the synchronization signal resource comprises at least a resource occupied by a synchronization signal.

[0939] As an embodiment, the synchronization signal resource is an SSB (Synchronization Signal Block).

[0940] As an embodiment, the synchronization signal resource is an SS / PBCH (synchronization signal / physical broadcast channel) block resource.

[0941] As one embodiment, the reporting configuration of the first channel information indicates at least one resource configuration, the at least one resource configuration indicates a first resource set.

[0942] As one embodiment, one resource configuration is used for configuring CSI resources.

[0943] As one embodiment, one resource configuration is an IE CSI-ResourceConfig.

[0944] As one embodiment, one resource configuration includes an RRC IE.

[0945] As one embodiment, one resource configuration includes an IE CSI-ResourceConfig.

[0946] As one embodiment, the reporting configuration of the first channel information indicates an identity of the first resource set.

[0947] As one embodiment, the second resource set is the first resource set.

[0948] As one embodiment, the second resource set includes resources not belonging to the first resource set.

[0949] As one embodiment, the reporting configuration of the first channel information indicates a first resource set, the first resource set includes at least one RS resource used for measurement of the first channel information; the first channel information indicates at least one resource and RSRP in a second resource set, the second resource set includes resources not belonging to the first resource set.

[0950] As one embodiment, the first node is not required to measure part or all of the resources in the second resource set.

[0951] As one embodiment, the first resource set is used for measurement, and the second resource set is used for prediction.

[0952] As one embodiment, the first resource set is used for measurement, and the second resource set is used for prediction.

[0953] As one embodiment, only the first resource set among the first resource set and the second resource set is used for measurement.

[0954] 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.

[0955] 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.

[0956] 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.

[0957] 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.

[0958] As one embodiment, the second resource set comprises the first resource set and resources other than the first resource set.

[0959] 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.

[0960] As one embodiment, the first resource set comprises a smaller number of resources than the second resource set.

[0961] As one embodiment, the first resource set comprises a smaller number of RS resources than the second resource set.

[0962] As one embodiment, the second resource set comprises resources not belonging to the first resource set.

[0963] As one embodiment, the second resource set comprises antenna ports not belonging to the first resource set.

[0964] 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 an antenna port, a TCI state, QCL information, a time-frequency resource, a time-frequency code resource, a beam, an RS resource, a vector, or a matrix.

[0965] As one embodiment, the second resource set comprises at least one training data set.

[0966] As one embodiment, the second resource set is used for training an AI model.

[0967] As one embodiment, the second resource set is used for training the first operation in the present application.

[0968] As an embodiment, the second resource set comprises one or more RS (Reference Signal) resource sets, and each RS resource set comprises one or more RS resources.

[0969] As an embodiment, the reporting configuration of the first channel information indicates a first identity, and the second resource set depends on the first identity in the reporting configuration of the first channel information.

[0970] As an embodiment, the second resource set depending on the first identity comprises that the first identity is used to identify the second resource set.

[0971] As an embodiment, the second resource set depending on the first identity comprises that the first identity is used to identify a reference resource set, and the reference resource set comprises the second resource set.

[0972] As an embodiment, the second resource set depending on the first identity comprises that the first identity is used to identify a reference resource set, the reference resource set comprises the second resource set, and the reporting configuration of the first channel information is used to indicate the second resource set from the reference resource set.

[0973] As an embodiment, information other than the reporting configuration of the first channel information indicates the second resource set.

[0974] As an embodiment, information other than the first information set indicates the second resource set.

[0975] As an embodiment, the information other than the reporting configuration of the first channel information indicating the second resource set comprises a higher layer parameter.

[0976] As an embodiment, the information other than the reporting configuration of the first channel information indicating the second resource set comprises an RRC parameter.

[0977] As an embodiment, the information other than the reporting configuration of the first channel information indicating the second resource set comprises part or all fields of an RRC IE.

[0978] As an embodiment, the information other than the reporting configuration of the first channel information indicating the second resource set comprises a MAC CE.

[0979] As one embodiment, the information outside the reporting configuration of the first channel information indicating the second set of resources comprises DCI (downlink control information).

[0980] In embodiment 12C, the output of the first operation comprises first CSI, the first channel information carries the first CSI, and the first CSI is used by a target receiver of the first channel information as input of a second operation to generate second CSI.

[0981] 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.

[0982] As one embodiment, the first CSI is used to generate the first channel information.

[0983] As one embodiment, the first channel information comprises the first CSI.

[0984] As one embodiment, the first CSI comprises compressed CSI.

[0985] As one embodiment, the first CSI comprises compressed predicted channel information.

[0986] As one embodiment, the first CSI is used to generate the first channel information after post-processing.

[0987] As one embodiment, the first channel information comprises the first CSI after post-processing.

[0988] As one embodiment, the first channel information carries the first CSI after post-processing.

[0989] As one embodiment, the first CSI is used to generate the first channel information after truncation and / or quantization.

[0990] As one embodiment, the first channel information comprises the first CSI after truncation and / or quantization.

[0991] As one embodiment, the first channel information carries the first CSI after truncation and / or quantization.

[0992] As one embodiment, the first CSI comprises a channel matrix.

[0993] As one embodiment, the first CSI comprises an eigenvector.

[0994] As one embodiment, the first CSI comprises eigenvectors and eigenvalues.

[0995] As one embodiment, the first CSI comprises precoding information.

[0996] As one embodiment, the first CSI comprises non-codebook based precoding information.

[0997] As one embodiment, the first CSI is used to determine at least one precoding matrix.

[0998] As one embodiment, the first CSI indicates at least one precoding matrix.

[0999] As one embodiment, the precoding matrix is spatial-frequency domain.

[1000] As one embodiment, the precoding matrix is angular-delay domain projection.

[1001] As one embodiment, the first CSI comprises information of relative phase, amplitude and / or coefficients among multiple antenna ports.

[1002] As one embodiment, the first CSI comprises compressed CSI.

[1003] As one embodiment, the first CSI comprises predicted / estimated CSI.

[1004] As one embodiment, the first operation is for CSI compression and the second operation is for CSI recovery.

[1005] As one embodiment, the second CSI comprises recovery of at least part of input of the first operation.

[1006] As one embodiment, the second CSI comprises channel matrix.

[1007] As one embodiment, the second CSI comprises eigenvectors and / or eigenvalues.

[1008] As one embodiment, the second CSI comprises precoding matrix.

[1009] As one embodiment, the second CSI comprises one or more of channel matrix, eigenvectors, eigenvalues, or precoding matrix.

[1010] As one embodiment, the target receiver of the first channel information is a reporting configured transmitter of the first channel information.

[1011] As one embodiment, the second operation is an inverse operation of the first operation.

[1012] As one embodiment, the second operation is trained-based.

[1013] As one embodiment, the training for obtaining the second operation is performed by the target receiver of the first channel information.

[1014] As one embodiment, the training for obtaining the second operation is performed by an MDA function.

[1015] As one embodiment, the training for obtaining the second operation is performed by an MDAS producer.

[1016] As one embodiment, the training for obtaining the second operation is performed by an NWDAF.

[1017] As one embodiment, the training for obtaining the second operation is performed by a core network.

[1018] As one embodiment, the training for obtaining the second operation is performed by an AI (Artificial Intelligence) training producer.

[1019] As one embodiment, the first operation and the second operation are obtained through different training.

[1020] As one embodiment, the first operation and the second operation are obtained through mutually independent training.

[1021] 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.

[1022] As one embodiment, the first operation and the second operation are obtained through joint training.

[1023] As one embodiment, the benefits of the above method include optimizing performance.

[1024] As one embodiment, the training of the second operation depends on the first operation.

[1025] As one embodiment, the producer of the second operation trains the second operation according to the output of the first operation.

[1026] As one embodiment, the second operation includes inference.

[1027] As one embodiment, the second operation comprises AI inference.

[1028] As one embodiment, the second operation comprises AI inference for CSI.

[1029] As one embodiment, the second operation is AI inference for CSI recovery.

[1030] As one embodiment, the second operation is AI inference for CSI decompression.

[1031] As one embodiment, the second operation is performed by an AI entity of the second node in the present application.

[1032] As one embodiment, the second operation is for an AI function of the second node in the present application.

[1033] As one embodiment, the second operation is for deployment.

[1034] As one embodiment, the second operation is obtained by loading.

[1035] As one embodiment, the second operation is obtained by loading from a core network.

[1036] As one embodiment, the second operation is obtained by loading from a producer.

[1037] As one embodiment, the second operation is obtained by loading from a producer of the second operation.

[1038] As one embodiment, the second operation is obtained by loading from an AL entity producer.

[1039] As one embodiment, the second operation is obtained by loading from an AL function producer.

[1040] As one embodiment, the second operation is obtained by loading from a MnS producer.

[1041] As one embodiment, the second operation is based on artificial intelligence or machine learning.

[1042] As one embodiment, the second operation is based on a neural network.

[1043] As one embodiment, the second operation comprises a decoder for neural network-based CSI compression.

[1044] As one embodiment, the second operation comprises a CNN-based CSI compression encoder.

[1045] As one embodiment, the second operation is performed by a physical layer of the second node.

[1046] As one embodiment, the second operation is performed by a higher layer of the second node.

[1047] Embodiments 13A-13B

[1048] 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.

[1049] 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.

[1050] As one embodiment, the deployment comprises obtaining the first operation.

[1051] As one embodiment, the deployment comprises obtaining an AI entity.

[1052] As one embodiment, the deployment comprises obtaining an AI entity that performs the first operation.

[1053] As one embodiment, the deployment comprises obtaining an AI entity that comprises an AI function that performs the first operation.

[1054] As one embodiment, the deployment comprises loading the first operation.

[1055] As one embodiment, the deployment comprises making a request to load the first operation.

[1056] As one embodiment, the first operation is obtained from a serving cell of the first node.

[1057] As one embodiment, the first operation is obtained from a maintaining base station of a serving cell of the first node.

[1058] As one embodiment, the first operation is obtained from a core network.

[1059] As one embodiment, the first operation is obtained from a first producer.

[1060] As one embodiment, the deployment is done by an AI function.

[1061] As one embodiment, the deployment is done by an AI function deployed at the first node.

[1062] As one embodiment, the deployment is done by an AI deployment function.

[1063] As one embodiment, the deployment is done by an AI deployment function deployed at the first node.

[1064] As one embodiment, the deployment is done by an AI inference function.

[1065] As one embodiment, the deployment is done by an AI inference function deployed at the first node.

[1066] As one embodiment, the deployment is done by an AI entity.

[1067] As one embodiment, the deployment is done by an AI entity deployed at the first node.

[1068] As one embodiment, the deployment is done by an AI entity having a deployment function.

[1069] As one embodiment, the deployment is done by an AI entity having a deployment function deployed at the first node.

[1070] As one embodiment, the deployment is done by an AI entity having an inference function.

[1071] As one embodiment, the deployment is done by an AI entity having an inference function deployed at the first node.

[1072] As one embodiment, the deployment includes obtaining the first operation from a first producer.

[1073] As one embodiment, the deployment includes making a request to a first producer to load the first operation.

[1074] As one embodiment, the deployment includes loading the first operation from a first producer.

[1075] As one embodiment, the first producer generates and provides an AL entity.

[1076] As one embodiment, the first producer generates and provides an AL function.

[1077] As one embodiment, the first producer is a producer of the first operation.

[1078] As one embodiment, the first producer comprises an AL entity producer.

[1079] As one embodiment, the first producer comprises an AL function producer.

[1080] As one embodiment, the first producer comprises an AL deployment producer.

[1081] As one embodiment, the first producer comprises an AL loading producer.

[1082] As one embodiment, the first producer comprises an AL training producer.

[1083] As one embodiment, the first producer comprises an AL inference producer.

[1084] As one embodiment, the first producer comprises a producer of deployment of AL entity.

[1085] As one embodiment, the first producer comprises a producer of loading of AL entity.

[1086] As one embodiment, the first producer comprises a MnS (Management Service) producer.

[1087] As one embodiment, a sender of the reporting configuration of the first channel information is the first producer.

[1088] As one embodiment, a sender of the reporting configuration of the first channel information is different from the first producer.

[1089] As one embodiment, a training for obtaining the first operation is performed by the first producer.

[1090] As one embodiment, a performer of the training for obtaining the first operation is different from the first producer.

[1091] As one embodiment, the AI comprises ML (Machine Learning).

[1092] In embodiment 13B, the first node makes a request to a second producer for loading a first operation, and obtains the first operation from the first producer.

[1093] As one embodiment, the deployment comprises obtaining the first operation.

[1094] As one embodiment, the deploying comprises obtaining an AI entity or an AI function that performs the first operation.

[1095] As one embodiment, the deploying comprises loading the first operation.

[1096] As one embodiment, the deploying comprises making a request to load the first operation.

[1097] As one embodiment, the deploying is done by an AI function deployed at the first node.

[1098] As one embodiment, the deploying is done by an AI deployment function deployed at the first node.

[1099] As one embodiment, the deploying is done by an AI entity having a deployment function.

[1100] As one embodiment, the second producer generates and provides an AI entity or an AI function.

[1101] As one embodiment, the second producer comprises a MnS (Management Service) producer.

[1102] As one embodiment, the second producer comprises a producer of training of an AI model.

[1103] As one embodiment, the second producer is a sender of the first set of information.

[1104] As one embodiment, the second producer is different from a sender of the first set of information.

[1105] As one embodiment, the second producer is a serving cell of the first node.

[1106] As one embodiment, the second producer is a maintaining base station of a serving cell of the first node.

[1107] As one embodiment, the second producer is a core network.

[1108] As one embodiment, the first operation is obtained from loading at a serving cell of the first node.

[1109] As one embodiment, the first operation is obtained from loading at a maintaining base station of a serving cell of the first node.

[1110] As one embodiment, the first operation is obtained from loading at a core network.

[1111] As one embodiment, the obtaining of the training of the first operation is performed by the second producer.

[1112] As one embodiment, the second producer is different from the first producer.

[1113] As one embodiment, the first producer generates and provides an AL entity.

[1114] As one embodiment, the first producer generates and provides an AL function.

[1115] As one embodiment, the first producer is a producer of the first operation.

[1116] As one embodiment, the first producer comprises an AL entity producer.

[1117] As one embodiment, the first producer comprises an AL function producer.

[1118] As one embodiment, the first producer comprises an AL deployment producer.

[1119] As one embodiment, the first producer comprises an AL loading producer.

[1120] As one embodiment, the first producer comprises an AL training producer.

[1121] As one embodiment, the first producer comprises an AL inference producer.

[1122] As one embodiment, the first producer comprises a producer of deployment of an AL entity.

[1123] As one embodiment, the first producer comprises a producer of loading of an AL entity.

[1124] As one embodiment, the first producer comprises a MnS (Management Service) producer.

[1125] Embodiment 14

[1126] 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.

[1127] 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.

[1128] For ML training function, it can be deployed in a cross-domain management system, or a domain-specific management system; the domain-specific management system is used to manage RAN domain or CN (Core Network) domain. For example, for the ML training function of MDA (Management Data Analytics), it can be deployed in MDAF (MDA function); for the ML training of network data analysis, it can be deployed in NWDAF (Network Data Analytics Function), i.e. the ML training function is MTLF (Model Training logical function).

[1129] For ML inference function, it can also be deployed in a cross-domain management system, or a domain-specific management system; for example, the ML inference function is MDAF, or the ML inference function is AnLF (Analytics logical function) located in NWDAF.

[1130] Similarly, ML testing function can also be deployed in a cross-domain management system, or a domain-specific management system.

[1131] 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.

[1132] In FIG. 14, the management of the ML inference function of the plurality of base stations is accomplished 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).

[1133] Optionally, the management of the ML inference function can also be accomplished by the base station itself, i.e., each base station can independently interact with the RAN domain MnS consumer / cross-domain management 1401.

[1134] It should be noted that the embodiment 14 is merely 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, while part of the base stations only deploy the ML inference function.

[1135] As one embodiment, one gNB (or base station) in the embodiment 14 is the second node of the present application.

[1136] As one embodiment, the first processor in the present application includes an AL / ML inference function in FIG. 14, i.e., 1404 or 1406.

[1137] Embodiment 15

[1138] The embodiment 15 illustrates a schematic diagram of AI / ML function deployment of a UE according to one embodiment of the present application; as shown in FIG. 15. The RAN domain ML training function 1505 in FIG. 15 is optional.

[1139] The UE function 1504 is deployed in the first node of the present application, and the UE function 1504 includes an AI / ML inference function 1506; the AI / ML inference function 1506 uses a ML model (also referred to as an AI model) for inference; a ML model is usually trained before being used for AI / ML inference.

[1140] As one embodiment, the first channel information in the present application is obtained through the inference of the AI / ML inference function 1506.

[1141] As one embodiment, the first processor in the present application includes an AL / ML inference function 1506 in FIG. 15.

[1142] 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.

[1143] 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.

[1144] Optionally, the UE function 1504 further includes a CN-domain ML training function (not included in FIG. 15).

[1145] Optionally, the UE function 1504 further includes an AI / ML deployment function (not included in FIG. 15) for loading ML models and data.

[1146] 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.

[1147] As an embodiment, the ML model and related metadata are loaded by the first node from a network device or a remote server.

[1148] 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).

[1149] 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).

[1150] As one embodiment, the ML model is based on a neural network.

[1151] As one embodiment, the ML model is based on a CNN (Conventional Neural Networks).

[1152] As one embodiment, the ML model is based on a Transformer architecture.

[1153] Embodiment 16

[1154] 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 processor, a fourth processor and a fifth processor, and FIG. 16(b) includes a third processor, a fourth processor, a fifth processor and a sixth processor.

[1155] In embodiment 16(a), the third processor sends a first data set to the fourth processor, and a second data set to the fifth processor; the fourth processor generates a target first type parameter set according to the first data set, and the fourth processor sends the generated target first type parameter set to the fifth processor; the fifth processor 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.

[1156] In embodiment 16(b), the third processor sends a first data set to the fourth processor, and a second data set to the fifth processor; the fourth processor generates a target first type parameter set according to the first data set, and the fourth processor sends the generated target first type parameter set to the fifth processor; the fifth processor processes the second data set using the target first type parameter set to obtain a first type output, and the fifth processor sends the first type output to the sixth processor. In FIG. 16(b), the first type feedback and the second type feedback are optional.

[1157] As one embodiment, in FIG. 16(a), the fifth processor sends the first type output to the second node in the present application.

[1158] As one embodiment, FIG. 16(a) uses a single side AI model, and the fifth processor performs the first operation in the present application.

[1159] 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.

[1160] As an embodiment, the AI includes ML (Machine Learning) inference.

[1161] As an embodiment, the fifth processing machine performs the first operation in the present application.

[1162] As an embodiment, the sixth processing machine includes the second operation in the present application.

[1163] 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.

[1164] 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.

[1165] 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.

[1166] As an embodiment, the fifth processing machine belongs to the first node, and the sixth processing machine belongs to the second node.

[1167] As an embodiment, the first channel information belongs to the first type output.

[1168] As an embodiment, the second data set includes the input of the first operation.

[1169] 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.

[1170] As an embodiment, the first data set includes training data.

[1171] As an embodiment, the fourth processing machine belongs to a producer of the first operation.

[1172] As an embodiment, the fourth processing machine includes an AI training producer.

[1173] As one embodiment, the fourth handler comprises an AI training function.

[1174] As one embodiment, the fourth handler is used for model training, and a trained model is described by the target first-type parameter group.

[1175] As one embodiment, the fourth handler belongs to the first node.

[1176] The above embodiment avoids passing the first data set to the second node.

[1177] As one embodiment, the fourth handler belongs to the second node.

[1178] The above embodiment supports joint training and optimizes system performance.

[1179] As one embodiment, the fourth handler belongs to the core network.

[1180] The above embodiment supports network-wide joint training and further optimizes system performance.

[1181] As one embodiment, the second data set comprises inference data.

[1182] As one embodiment, the fifth handler comprises an AI inference producer.

[1183] As one embodiment, the fifth handler comprises an AI inference function.

[1184] As one embodiment, the fifth handler belongs to the first node.

[1185] 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.

[1186] As one embodiment, the first operation is described by the target first-type parameter group.

[1187] As one embodiment, the target first-type parameter group is used to construct the first operation.

[1188] As one embodiment, the fifth handler comprises the second operation.

[1189] 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.

[1190] As a sub-embodiment of the above-mentioned embodiment, the generation of the recovery dataset employs a similar second operation.

[1191] 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.

[1192] 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.

[1193] 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.

[1194] 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.

[1195] Embodiment 17

[1196] 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.

[1197] 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.

[1198] 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.

[1199] As an embodiment, the first stage includes AI model training.

[1200] As an embodiment, the first stage includes AI model training and AI testing.

[1201] As an embodiment, the AI includes ML (Machine Learning) inference.

[1202] As an embodiment, the AI model training includes initial training and re-training of one or a set of AI entities.

[1203] As an embodiment, the AI model training relies on training data.

[1204] As an embodiment, the AI model training includes AI entity validation.

[1205] As an embodiment, the AI entity validation is used to evaluate the performance of the AI entity.

[1206] As an embodiment, the AI entity validation relies on validation data.

[1207] As an embodiment, if the result of AI entity validation does not meet the expectation, the AI model will be re-trained.

[1208] As an embodiment, the AI testing includes testing the validated AI entity to evaluate the performance of the trained AI model.

[1209] 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.

[1210] As an embodiment, the AI testing relies on testing data.

[1211] As an embodiment, the second stage includes AI simulation, which is the inference of the AI entity in a simulation environment.

[1212] 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.

[1213] As an embodiment, the second stage is optional.

[1214] As one embodiment, the third phase includes AI entity loading for obtaining trained AI entities for desired AI inference functions.

[1215] As one embodiment, the third phase is optional.

[1216] As one embodiment, the third phase is not needed when training functions and inference functions are co-located.

[1217] As one embodiment, the fourth phase includes AI inference.

[1218] As one embodiment, the seventh operation includes the first operation.

[1219] As one embodiment, the seventh operation includes the second operation.

[1220] Embodiment 18

[1221] Embodiment 18 illustrates a structural block diagram for a processing device in a first node according to one embodiment of the application; as shown in FIG. 18. In FIG. 18, the processing device 1800 in the first node includes a first processor 1801.

[1222] As one embodiment, the first node is a user equipment.

[1223] As one embodiment, the first node is a relay node device.

[1224] 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.

[1225] The first processor 1801 transmits a reference information block; processes first channel information only when a first condition is satisfied;

[1226] In Embodiment 18, the reference information block is used to indicate a first resource group and a second resource group, both of which include at least one first type of resource; the processing of the first channel information occupies M1 first type of resources in the first resource group and the second resource group, M1 being a positive integer greater than 1; wherein the first resource group includes at least one first type of resource that is not occupied, and the total number of the first type of resource that is not occupied in the first resource group is less than M1; the first condition includes that the first resource group and the second resource group together include at least M1 first type of resource that is not occupied.

[1227] As an embodiment, both the first resource group and the second resource group further include at least one second type of resource, and the processing of the first channel information further occupies M2 second type of resources in at least one of the first resource group or the second resource group, M2 being a positive integer; the first condition includes that the second resource group includes at least M3 second type of resource available for the processing of the first channel information, M3 being a positive integer.

[1228] As an embodiment, the second type of resource available for the processing of the first channel information includes the second type of resource that is not occupied.

[1229] As an embodiment, the processing of the first channel information corresponds to a first identity; the second type of resource available for the processing of the first channel information includes the second type of resource that has been occupied for the first identity.

[1230] As an embodiment, the processing of the first channel information corresponds to a first identity, and the first resource group corresponds to the first identity; the first condition includes that the second resource group corresponds to the first identity.

[1231] As an embodiment, the processing of the first channel information corresponds to a first identity, and the first resource group corresponds to the first identity, the first identity being a first type of identity; the first condition includes that the second resource group does not correspond to a first type of identity.

[1232] As an embodiment, the correspondence between the processing of the first channel information and the first identity is indicated by the first node.

[1233] As an embodiment, the correspondence between the processing of the first channel information and the first identity is indicated by a target receiver of the reference information block.

[1234] As an embodiment, the first processor 1801 receives a reporting configuration of the first channel information.

[1235] As an embodiment, the first processor 1801 transmits the first channel information; wherein the processing in the processing first channel information comprises updating; the first channel information is updated when the first condition is satisfied; the first channel information is not updated when the first condition is not satisfied.

[1236] As an embodiment, the first processor 1801 comprises: transmitting the first channel information when the first condition is satisfied; abandoning transmitting the first channel information when the first condition is not satisfied; wherein the processing in the processing first channel information comprises generating or updating.

[1237] As an embodiment, the reporting configuration of the first channel information indicates a first resource set, the first resource set comprising at least one RS resource used for measuring the first channel information; the first channel information indicates at least one resource in a second resource set, the second resource set comprising resources not belonging to the first resource set.

[1238] As an embodiment, the first processor 1801 receives a signal in the first resource set.

[1239] As an embodiment, the signal in the first resource set comprises a wireless signal in the first resource set.

[1240] As an embodiment, the signal in the first resource set comprises a reference signal in the first resource set.

[1241] As an embodiment, the first processor 1801 receives a signal in the second resource set.

[1242] As an embodiment, the second resource set comprises one or more RS resources; the signal in the second resource set comprises a reference signal in the first resource set.

[1243] As an embodiment, the first processor 1801 performs a first operation, and the first channel information depends on the output of the first operation.

[1244] As an embodiment, the first operation is based on training or based on AI.

[1245] As an embodiment, the first operation is deployment required.

[1246] As an embodiment, the first operation is obtained by loading.

[1247] As one embodiment, the first processor 1801 deploys the first operation.

[1248] Embodiment 19

[1249] Embodiment 19 illustrates a structural block diagram of a processing apparatus in a second node according to one embodiment of the present application; as shown in Figure 19. In Figure 19, the processing apparatus 1900 in the second node includes a second processor 1901.

[1250] As one embodiment, the second node is a base station device.

[1251] As one embodiment, the second node is a user equipment.

[1252] As one embodiment, the second node is a relay node device.

[1253] As one embodiment, the second processor 1901 includes 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.

[1254] The second processor 1901 receives a reference information block;

[1255] In Embodiment 19, the reference information block is used to indicate a first resource group and a second resource group, both of which include at least one first type of resource; wherein only when a first condition is satisfied, a sender of the reference information block processes first channel information, the processing of the first channel information occupies M1 first type of resources in the first resource group and the second resource group, M1 is a positive integer greater than 1; the first resource group includes at least one first type of resource that is not occupied, the total number of the first type of resource that is not occupied in the first resource group is less than M1; the first condition includes that at least M1 first type of resources that are not occupied are included in the first resource group and the second resource group.

[1256] As one embodiment, the first resource group and the second resource group also both include at least one second type of resource, the processing of the first channel information also occupies M2 second type of resources in at least one of the first resource group or the second resource group, M2 is a positive integer; the first condition includes that at least M3 second type of resources available for the processing of the first channel information are included in the second resource group, M3 is a positive integer.

[1257] As an embodiment, the second type of resources available for the processing of the first channel information comprises the second type of resources that are not occupied.

[1258] As an embodiment, the processing of the first channel information corresponds to a first identity; the second type of resources available for the processing of the first channel information comprises the second type of resources that are occupied for the first identity.

[1259] As an embodiment, the processing of the first channel information corresponds to a first identity, and the first resource group corresponds to the first identity; the first condition comprises that the second resource group corresponds to the first identity.

[1260] As an embodiment, the processing of the first channel information corresponds to a first identity, and the first resource group corresponds to the first identity, and the first identity is a first type of identity; the first condition comprises that the second resource group does not correspond to a first type of identity.

[1261] As an embodiment, the correspondence between the processing of the first channel information and the first identity is reported by the sender of the reference information block.

[1262] As an embodiment, the correspondence between the processing of the first channel information and the first identity is indicated by the second node.

[1263] As an embodiment, the second processor 1901 sends a reporting configuration of the first channel information.

[1264] As an embodiment, the second processor 1901 receives the first channel information; wherein the processing in the processing of the first channel information comprises updating; when the first condition is satisfied, the first channel information is updated; when the first condition is not satisfied, the first channel information is not updated.

[1265] As an embodiment, the second processor 1901 receives the first channel information when the first condition is satisfied; and gives up receiving the first channel information when the first condition is not satisfied; wherein the processing in the processing of the first channel information comprises generating or updating.

[1266] According to an aspect of the present application, the second node determines by itself whether to receive the first channel information.

[1267] As an embodiment, the second processor 1901 monitors whether the first channel information is sent by the sender of the reference information block.

[1268] As an embodiment, the reporting configuration of the first channel information indicates a first resource set, the first resource set comprising at least one RS resource used for measurement of the first channel information; the first channel information indicates at least one resource in a second resource set, the second resource set comprising resources not belonging to the first resource set.

[1269] As an embodiment, the second processor 1901 transmits a signal in the first resource set.

[1270] As an embodiment, the signal in the first resource set comprises a wireless signal in the first resource set.

[1271] As an embodiment, the signal in the first resource set comprises a reference signal in the first resource set.

[1272] As an embodiment, the second processor 1901 transmits a signal in the second resource set.

[1273] As an embodiment, the second resource set comprises one or more RS resources; the signal in the second resource set comprises a reference signal in the first resource set.

[1274] As an embodiment, the second processor 1901 performs a second operation; wherein the sender of the reference information block performs a first operation, the output of the first operation comprising a first CSI, the first channel information carrying the first CSI, the first CSI being used as input of the second operation to generate a second CSI.

[1275] As an embodiment, the first operation is training-based or AI-based.

[1276] As an embodiment, the first operation is deployment-needed.

[1277] As an embodiment, the first operation is obtained by load.

[1278] As an embodiment, the second processor 1901 deploys the second operation.

[1279] As an embodiment, the second operation is training-based or AI-based.

[1280] As an embodiment, the second operation is deployment-needed.

[1281] As an embodiment, the second operation is obtained by load.

[1282] 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.

[1283] 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: comprise at least one first-type resource; process the first channel information only when a first condition is satisfied, the processing of the first channel information occupying M1 first-type resources in the first resource group and the second resource group, M1 being a positive integer greater than 1; wherein the first resource group comprises at least one unoccupied first-type resource, and the total number of unoccupied first-type resources in the first resource group is less than M1; the first condition comprising that the first resource group and the second resource group together comprise at least M1 unoccupied first-type resources. The first resource group and the second resource group also each comprise at least one second-type resource, and the processing of the first channel information also occupies M2 second-type resources in at least one of the first resource group or the second resource group, M2 being a positive integer; the first condition comprising that the second resource group comprises at least M3 second-type resources available for the processing of the first channel information, M3 being a positive integer.

2. The first node of claim 1, characterized in that, The second-type resources available for the processing of the first channel information comprise unoccupied second-type resources.

3. The first node of claim 2, wherein, The processing of the first channel information corresponds to a first identity; the second-type resources available for the processing of the first channel information comprise second-type resources that have been occupied for the first identity.

4. The first node of claim 2 or 3, wherein, The processing of the first channel information corresponds to a first identity, and the first resource group corresponds to the first identity; the first condition comprising that the second resource group corresponds to the first identity.

5. The first node of any of claims 1 to 4, wherein, The processing of the first channel information corresponds to a first identity, and the first resource group corresponds to the first identity, the first identity being a first-type identity; the first condition comprising that the second resource group does not correspond to a first-type identity.

6. The first node of any of claims 1 to 4, wherein, 7. The first node according to any one of claims 1 to 6, characterized in that, the correspondence between the processing of the first channel information and the first identity is indicated by the first node; or, the correspondence between the processing of the first channel information and the first identity is indicated by a target receiver of the reference information block. comprise at least one first-type resource; 8. A second node configured for wireless communication, the second node comprising: ​ ​ The sender of the reference information block processes first channel information only when a first condition is satisfied, the processing of the first channel information occupying M1 first-type resources in the first resource group and the second resource group, M1 being a positive integer greater than 1; the first resource group including at least one first-type resource that is not occupied, the total number of first-type resources that are not occupied in the first resource group being less than M1; the first condition including that there are at least M1 first-type resources that are not occupied in the first resource group and the second resource group.

9. A method in a first node used for wireless communication, characterized by, Comprise: sending a reference information block, the reference information block being used to indicate a first resource group and a second resource group, the first resource group and the second resource group both including at least one first-type resource; processing first channel information only when a first condition is satisfied, the processing of the first channel information occupying M1 first-type resources in the first resource group and the second resource group, M1 being a positive integer greater than 1; wherein the first resource group includes at least one first-type resource that is not occupied, the total number of first-type resources that are not occupied in the first resource group being less than M1; the first condition including that there are at least M1 first-type resources that are not occupied in the first resource group and the second resource group.

10. A method in a second node used for wireless communication, characterized by, Comprise: receiving a reference information block, the reference information block being used to indicate a first resource group and a second resource group, the first resource group and the second resource group both including at least one first-type resource; wherein the sender of the reference information block processes first channel information only when a first condition is satisfied, the processing of the first channel information occupying M1 first-type resources in the first resource group and the second resource group, M1 being a positive integer greater than 1; the first resource group including at least one first-type resource that is not occupied, the total number of first-type resources that are not occupied in the first resource group being less than M1; the first condition including that there are at least M1 first-type resources that are not occupied in the first resource group and the second resource group.

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