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

Abstract

The present application discloses a channel information processing method and apparatus for a node used for wireless communication. A first node transmits a reference information block, wherein the reference information block is used for indicating J resource groups, any one of the J resource groups comprises at least one first-type resource, and J is a positive integer greater than 1; and the first node transmits first channel information, wherein generation of the first channel information occupies M1 first-type resources in a first resource group, and M1 is a positive integer; the first resource group is one of the J resource groups that satisfies a first condition; and the first condition comprises: the resource group comprises at least M1 unoccupied first-type resources.

Description

A method and apparatus for generating channel information in nodes used in wireless communication

[0001] Technical Field This application relates to transmission methods and apparatus in wireless communication systems, and more particularly to schemes and apparatus for generating channel information in wireless communication systems. Background Technology

[0002] In traditional wireless communication, the UE (User Equipment) calculates channel information by measuring downlink reference signals. This channel information includes, but is not limited to, one or more of the following: 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 increasing demands on system performance, traditional measurement and reporting methods incur significant redundancy overhead. Therefore, in NR R (release) 18, research on AI (Artificial Intelligence) / ML (Machine Learning) technologies was initiated to explore their impact on system performance and design. Compared to traditional processing methods, AI / ML offers advantages such as training-based and deployment-required features. Furthermore, AI / ML is a key candidate technology for future 6G communications. Once AI / ML functionality is introduced, existing channel information-related measurement mechanisms, generation and / or reporting mechanisms, and related configuration signaling may become inadequate to meet the demands of AI / ML. Summary of the Invention

[0004] The applicant discovered through research that generating channel information requires certain resources, and determining which resources(s) to use is a key issue that needs to be addressed. To address this issue, this application discloses a solution. It should be noted that although many embodiments of this application are geared towards AI / ML, this application is also applicable to other solutions, such as traditional channel information reporting schemes. Furthermore, adopting a unified solution across different scenarios (including but not limited to AI / ML-based schemes and traditional information reporting schemes) helps reduce hardware complexity and cost. Where there is no conflict, the embodiments and features in the embodiments of the first node of this application can be applied to the second node, and vice versa. Where there is no conflict, the embodiments and features in the embodiments of this application can be arbitrarily combined with each other.

[0005] As an example, the interpretation of terms in this application is based on the definitions in the 3GPP specification protocol TS38 series.

[0006] As an example, the interpretation of the terms in this application is based on the definitions in the 3GPP specification protocol TS28 series.

[0007] This application discloses a method used in a first node of wireless communication, characterized by comprising:

[0008] Send a reference information block, which is used to indicate J resource groups, each of the J resource groups including at least one first type of resource, where J is a positive integer greater than 1;

[0009] Send first channel information;

[0010] Wherein, the generation of the first channel information occupies M1 of the first type of resources in the first resource group, where M1 is a positive integer; the first resource group is a resource group among the J resource groups that satisfies a first condition; the first condition includes: the resource group includes at least M1 unoccupied first type of resources.

[0011] As an example, the problem this application aims to solve includes: generating channel information requires the use of certain resources, and how to determine which resources(s) are used.

[0012] As an example, the advantages of the above method include ensuring consistent understanding of channel information processing between the transmitting and receiving ends.

[0013] As an example, the advantages of the above method include: better adaptability to various application scenarios or terminals.

[0014] As an example, the advantages of the above method include: good flexibility.

[0015] As an example, the advantages of the above method include: better adaptability to various processing capabilities.

[0016] As an example, the advantages of the above method include: better adaptability to various different terminal capabilities.

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

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

[0019] According to one aspect of this application, each of the J resource groups further includes at least one second type of resource, and the generation of the first channel information also occupies M2 second type resources in the first resource group, where M2 is a positive integer; the first condition includes: the resource group includes at least M2 second type resources that can be used for the generation of the first channel information.

[0020] According to one aspect of this application, the second type of resource that can be used for the generation of the first channel information includes: unoccupied second type of resources.

[0021] According to one aspect of this application, the generation of the first channel information corresponds to a first identifier; the second type of resource that can be used for the generation of the first channel information includes: second type of resources that have been occupied for the first identifier.

[0022] According to one aspect of this application, the generation of the first channel information corresponds to a first identifier; when one of the J resource groups contains M2 second-type resources that have been occupied for the first identifier, and the resource group includes at least M1 unoccupied first-type resources, the resource group is the first resource group.

[0023] According to one aspect of this application, the generation of the first channel information corresponds to a first identifier; multiple resource groups among the J resource groups all satisfy the first condition; when there are M2 second-type resources in one of the multiple resource groups that have been occupied for the first identifier, the resource group is the first resource group.

[0024] According to one aspect of this application, a plurality of resource groups among the J resource groups all satisfy the first condition; the first resource group is one of the plurality of resource groups that satisfies a second condition; the second condition includes at least one of a first sub-condition or a second sub-condition; wherein...

[0025] The first sub-condition includes: at least one of the first type of resources in the resource group has been occupied;

[0026] The second sub-condition includes: the number of unoccupied resources of the first type within the resource group is the minimum.

[0027] As an example, the advantages of the above method include minimizing resource consumption, improving resource utilization, and saving energy.

[0028] According to one aspect of this application, it is characterized by including: receiving a reporting configuration for the first channel information.

[0029] 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.

[0030] According to one aspect of this application, the method includes: receiving a signal in the first resource set.

[0031] As one embodiment, the signals in the first resource set include: wireless signals in the first resource set.

[0032] As one embodiment, the signals in the first resource set include: reference signals in the first resource set.

[0033] According to one aspect of this application, it is characterized by: receiving a signal in the second source set.

[0034] According to one aspect of this application, the second source set includes one or more RS resources; the signals in the second resource set include: reference signals in the first resource set.

[0035] According to one aspect of this application, it is characterized by: not receiving signals in the second source set.

[0036] As an example, the advantages of the above method include: reducing the overhead required to obtain channel information.

[0037] As an example, the advantages of the above method include: it can reduce the measurement resources required to obtain channel information.

[0038] According to one aspect of this application, the method includes: performing a first operation, wherein the first channel information depends on the output of the first operation.

[0039] According to one aspect of this application, the first operation is characterized in that it is based on training or AI.

[0040] As an example, the AI ​​(Artificial Intelligence) includes ML (Machine Learning).

[0041] As one example, the AI ​​includes ML (Machine Learning).

[0042] As an example, the first operation requires deployment.

[0043] As an example, the first operation is obtained by loading.

[0044] As one embodiment, it includes: deploying the first operation.

[0045] As an example, the advantages of the above method include that it provides sufficient freedom for the first node, adapting to various different scenarios and terminals, and has adaptability and flexibility.

[0046] As an example, the advantages of the above method include: training for the first operation can be performed outside the first node, reducing the processing power requirements and power consumption of the first node.

[0047] This application discloses a method used in a second node for wireless communication, characterized by comprising:

[0048] Receive a reference information block, the reference information block being used to indicate J resource groups, each of the J resource groups including at least one first type of resource, where J is a positive integer greater than 1;

[0049] Receive first channel information;

[0050] Wherein, the generation of the first channel information occupies M1 of the first type of resources in the first resource group, where M1 is a positive integer; the first resource group is a resource group among the J resource groups that satisfies a first condition; the first condition includes: the resource group includes at least M1 unoccupied first type of resources.

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

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

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

[0054] According to one aspect of this application, each of the J resource groups further includes at least one second type of resource, and the generation of the first channel information also occupies M2 second type resources in the first resource group, where M2 is a positive integer; the first condition includes: the resource group includes at least M2 second type resources that can be used for the generation of the first channel information.

[0055] According to one aspect of this application, the second type of resource that can be used for the generation of the first channel information includes: unoccupied second type of resources.

[0056] According to one aspect of this application, the generation of the first channel information corresponds to a first identifier; the second type of resource that can be used for the generation of the first channel information includes: second type of resources that have been occupied for the first identifier.

[0057] According to one aspect of this application, the generation of the first channel information corresponds to a first identifier; when one of the J resource groups contains M2 second-type resources that have been occupied for the first identifier, and the resource group includes at least M1 unoccupied first-type resources, the resource group is the first resource group.

[0058] According to one aspect of this application, the generation of the first channel information corresponds to a first identifier; multiple resource groups among the J resource groups all satisfy the first condition; when there are M2 second-type resources in one of the multiple resource groups that have been occupied for the first identifier, the resource group is the first resource group.

[0059] According to one aspect of this application, a plurality of resource groups among the J resource groups all satisfy the first condition; the first resource group is one of the plurality of resource groups that satisfies a second condition; the second condition includes at least one of a first sub-condition or a second sub-condition; wherein...

[0060] The first sub-condition includes: at least one of the first type of resources in the resource group has been occupied;

[0061] The second sub-condition includes: the number of unoccupied resources of the first type within the resource group is the minimum.

[0062] According to one aspect of this application, it is characterized by including: a reporting configuration for transmitting the first channel information.

[0063] 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.

[0064] According to one aspect of this application, the method includes: transmitting a signal in the first resource set.

[0065] According to one aspect of this application, the signals in the first resource set include: wireless signals in the first resource set.

[0066] According to one aspect of this application, the signal in the first resource set includes: a reference signal in the first resource set.

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

[0068] According to one aspect of this application, the second source set includes one or more RS resources; the signals in the second resource set include: reference signals in the first resource set.

[0069] According to one aspect of this application, it is characterized by: not transmitting a signal in the second source set.

[0070] According to one aspect of this application, the method includes: performing a second operation; wherein the sender of the reference information block performs a first operation, the output of the first operation includes a first CSI, the first channel information carries the first CSI, and the first CSI is used as input to the second operation to generate a second CSI.

[0071] As an example, the first operation is based on training or AI.

[0072] As an example, the first operation requires deployment.

[0073] As an example, the first operation is obtained by loading.

[0074] According to one aspect of this application, the method is characterized by: deploying the second operation.

[0075] According to one aspect of this application, the second operation is characterized in that it is based on training or AI.

[0076] As an example, the second operation needs to be deployed.

[0077] As an example, the second operation is obtained by loading.

[0078] As an example, the advantages of the above method include that it provides sufficient freedom for the second node, adapting to various different scenarios and terminals, and possessing adaptability and flexibility.

[0079] As an example, the advantages of the above method include: training for the second operation can be performed outside the second node, reducing the processing power requirements and power consumption of the second node.

[0080] This application discloses a first node used for wireless communication, characterized in that it comprises:

[0081] The first processor sends a reference information block, which is used to indicate J resource groups, each of the J resource groups including at least one first type of resource, where J is a positive integer greater than 1.

[0082] Send first channel information;

[0083] Wherein, the generation of the first channel information occupies M1 of the first type of resources in the first resource group, where M1 is a positive integer; the first resource group is a resource group among the J resource groups that satisfies a first condition; the first condition includes: the resource group includes at least M1 unoccupied first type of resources.

[0084] This application discloses a second node used for wireless communication, characterized in that it comprises:

[0085] The second processor receives a reference information block, which is used to indicate J resource groups, each of the J resource groups including at least one first type of resource, where J is a positive integer greater than 1.

[0086] Receive first channel information;

[0087] Wherein, the generation of the first channel information occupies M1 of the first type of resources in the first resource group, where M1 is a positive integer; the first resource group is a resource group among the J resource groups that satisfies a first condition; the first condition includes: the resource group includes at least M1 unoccupied first type of resources.

[0088] As an example, compared with conventional solutions, this application has the following advantages:

[0089] This ensures consistency in the understanding of channel information processing between the transmitting and receiving ends;

[0090] Better adaptable to various application scenarios;

[0091] Better adaptable to various different terminals;

[0092] It has good flexibility;

[0093] It has good adaptability;

[0094] Minimize resource consumption;

[0095] Improved resource utilization;

[0096] It saves energy;

[0097] Reduced processing latency;

[0098] Improved processing speed;

[0099] Higher accuracy and real-time performance of channel information;

[0100] Lower air interface overhead;

[0101] Enhanced reliability and robustness;

[0102] Enhanced overall system performance. Attached Figure Description

[0103] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0104] Figure 1 shows a flowchart of a reference information block and first channel information according to an embodiment of this application;

[0105] Figure 2 shows a schematic diagram of a network architecture according to an embodiment of this application;

[0106] Figure 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for the user plane and control plane according to an embodiment of this application;

[0107] Figure 4 shows a schematic diagram of a first communication device and a second communication device according to an embodiment of this application;

[0108] Figure 5 illustrates the transmission between a first node and a second node according to an embodiment of this application;

[0109] Figures 6A-6B respectively illustrate schematic diagrams of a first condition according to an embodiment of this application;

[0110] Figures 7A-7C respectively illustrate schematic diagrams of the second type of resource generated from the first channel information according to an embodiment of this application;

[0111] Figures 8A-8C respectively show schematic diagrams of a first resource group according to an embodiment of this application;

[0112] Figures 9A-9B respectively show schematic diagrams of J resource groups according to an embodiment of this application;

[0113] Figures 10A-10B respectively show schematic diagrams of a first type of resource and a second type of resource according to an embodiment of this application;

[0114] Figures 11A-11C respectively illustrate schematic diagrams of the generation of first channel information corresponding to a first identifier according to an embodiment of this application;

[0115] Figures 12A-12C respectively show schematic diagrams of first channel information according to an embodiment of this application;

[0116] Figures 13A-13B respectively illustrate schematic diagrams of the deployment of the first node in a first operation according to an embodiment of this application;

[0117] Figure 14 illustrates a schematic diagram of the deployment of AI / ML functions in a RAN (Radio Access Network) domain according to an embodiment of this application;

[0118] Figure 15 shows a schematic diagram of the AI / ML function deployment of a UE according to an embodiment of this application;

[0119] Figure 16 shows a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of this application;

[0120] Figure 17 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of this application;

[0121] Figure 18 shows a structural block diagram of a processing apparatus for a first node according to an embodiment of the present application;

[0122] Figure 19 shows a structural block diagram of a processing apparatus for a second node according to an embodiment of the present application. Detailed Implementation

[0123] The technical solutions of this application will be further described in detail below with reference to the accompanying drawings. It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of this application can be arbitrarily combined with each other. Considering performance, flexibility, complexity, overhead, and compatibility, those skilled in the art are motivated to flexibly combine the embodiments in different drawings without conflict, such as, but not limited to, the embodiments in Figure 1 and the embodiments in Figures 5-19, the embodiments in Figure 5 and the embodiments in Figures 6A-19, etc.

[0124] Example 1

[0125] Example 1 illustrates a flowchart of a reference information block and first channel information according to an embodiment of this application, as shown in Figure 1. In Figure 1, each block represents a step. In particular, the order of the steps in the blocks does not represent a specific temporal sequence between the steps.

[0126] In Embodiment 1, the first node sends a reference information block in step 101 and sends first channel information in step 102. The reference information block is used to indicate J resource groups, each of the J resource groups including at least one first-type resource, where J is a positive integer greater than 1. The generation of the first channel information occupies M1 of the first-type resources in the first resource group, where M1 is a positive integer. The first resource group is one of the J resource groups that satisfies a first condition. The first condition includes: the resource group includes at least M1 unoccupied first-type resources.

[0127] As one embodiment, the first channel information includes CSI (channel state information).

[0128] As an example, the CSI includes beam information.

[0129] As an example, the CSI includes compressed CSI.

[0130] As an example, the compressed CSI is based on non-codebook channel information.

[0131] As an example, the compressed CSI is not a reporting quantity defined by 3GPP Rel-18, nor is it a reporting quantity defined by versions prior to 3GPP Rel-18.

[0132] As an example, the channel parameters recovered by the target receiver of the compressed CSI based on the compressed CSI are unknown to the sender of the compressed CSI.

[0133] As an example, the compressed CSI is based on channel information derived from artificial intelligence or machine learning.

[0134] As an example, the compressed CSI is based on channel information from a neural network.

[0135] As an example, the compressed CSI is based on channel information from CNN (Conventional Neural Networks).

[0136] As one example, the first channel information includes channel information generated based on artificial intelligence or machine learning.

[0137] As one example, the first channel information includes channel information generated based on a neural network.

[0138] As one example, the first channel information includes channel information generated based on CNN (Conventional Neural Networks).

[0139] As one embodiment, the first channel information includes a channel matrix.

[0140] As one embodiment, the first channel information includes at least one of the channel's feature values ​​or feature vectors.

[0141] As one embodiment, the first channel information includes confidence information.

[0142] As one embodiment, the first channel information includes beam information.

[0143] As an example, the first channel information includes at least one of PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), CQI (Channel Quality Indicator), RI (Rank Indicator), Layer Indicator (LI), SS / PBCH Block Resource Indicator (SSBRI), RSRP, SINR (signal-to-noise and interference ratio), capability index, TDCP (Time domain channel properties), or confidence information.

[0144] As an example, the first channel information is based on a non-codebook.

[0145] As an example, the first channel information includes reporting amounts that do not belong to 3GPP Rel-18 and earlier versions.

[0146] As one example, the first channel information includes reporting quantities that are not defined in the 5G standard.

[0147] As one embodiment, the first channel information includes a resource indication, which is used to indicate beam or RS (reference signal) resources.

[0148] As an example, the first channel information includes at least one of a resource indication or RSRP (reference signal received power), wherein the resource indication is used to indicate a beam or RS resource.

[0149] As one embodiment, the beam information includes a resource indicator, which is used to indicate a beam or RS resource.

[0150] As an example, the beam information includes at least one of a resource indicator or RSRP (reference signal received power), wherein the resource indicator is used to indicate the beam or RS resource.

[0151] As an example, the resource indicator is used to indicate one of beam, CSI-RS resources, or synchronization signal resources.

[0152] As an example, the resource indicator is a CRI (CSI-RS Resource Indicator, Channel State Information Reference Signal Resource Indicator) or an SS / PBCH Block Resource Indicator (SSBRI).

[0153] As one embodiment, the synchronization signal resources include at least the resources occupied by the synchronization signal.

[0154] As an example, the synchronization signal resource is an SSB (Synchronization Signal Block).

[0155] As an example, the synchronization signal resource is an SS / PBCH (synchronization signal / physical broadcast channel) block resource.

[0156] As one embodiment, 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 RS resource in the first resource set.

[0157] As one embodiment, 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 that do not belong to the first resource set.

[0158] As an example, the generation of the first channel information occupies one or more first-class resources in only one of the J resource groups.

[0159] As an example, when selecting or determining the first type of resource occupied by the generation of the first channel information, the generation of the first channel information is not expected to occupy the first type of resource in different resource groups among the J resource groups.

[0160] As an example, when selecting or determining the first type of resource occupied by the generation of the first channel information, the generation of the first channel information is not assumed to occupy the first type of resource in different resource groups among the J resource groups.

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

[0162] As an example, the advantages of using the above method include: minimizing the amount of resources used and improving resource utilization.

[0163] As an example, the advantages of using the above method include energy savings.

[0164] As an example, the advantages of the above method include avoiding interactions between resource groups.

[0165] As an example, the advantages of the above method include: improved processing speed.

[0166] As an example, the advantages of the above method include: simplified design.

[0167] As an example, the advantages of the above method include: it is easier to implement.

[0168] As an example, M1 first-class resources in the same resource group of the J resource groups are preferentially selected for the generation of the first channel information.

[0169] As an example, the advantages of using the above method include: minimizing the amount of resources used and improving resource utilization.

[0170] As an example, the advantages of using the above method include energy savings.

[0171] As an example, the advantages of the above method include minimizing interactions between resource groups.

[0172] As an example, the advantages of the above method include: improved processing speed.

[0173] As an example, M1 is the default value.

[0174] As an example, M1 is predefined.

[0175] As an example, M1 is configurable.

[0176] As an example, M1 is 1.

[0177] As an example, M1 is a positive integer greater than 1.

[0178] As an example, M1 is 1 or a positive integer greater than 1.

[0179] As an example, M1 is the total number of first-class resources occupied by the generation of the first channel information.

[0180] As an example, M1 is the total number of first-type resources required for the generation of the first channel information.

[0181] As one embodiment, the generation of the first channel information includes: the calculation of the first channel information.

[0182] As an example, the generation of the first channel information includes: the first node generating (derive) the first channel information based on the inference output.

[0183] As one embodiment, the generation of the first channel information includes: the first channel information being calculated or generated through artificial intelligence or machine learning.

[0184] As an example, the generation of the first channel information includes: the first node performing a first operation and generating the first channel information based on the output of the first operation.

[0185] As one embodiment, the generation of the first channel information includes: the first node performing a first operation, wherein the first channel information depends on the output of the first operation.

[0186] As an example, the first condition is that the resource group includes at least M1 unoccupied resources of the first type.

[0187] As an example, the first condition includes at least: the resource group includes at least M1 unoccupied resources of the first type.

[0188] As an example, "the first resource group is a resource group among the J resource groups that satisfies a first condition; the first condition includes: the resource group includes at least M1 unoccupied resources of the first type" includes: the first resource group includes at least M1 unoccupied resources of the first type.

[0189] As an example, multiple resource groups among the J resource groups satisfy the first condition, and the first resource group is one of the multiple resource groups.

[0190] As an example, the condition that multiple resource groups in the J resource groups all satisfy the first condition includes: each resource group in the multiple resource groups includes at least M1 unoccupied resources of the first type.

[0191] As an example, any one of the J resource groups includes at least one first-type resource and at least one second-type resource; the first condition includes: the resource group includes at least M1 unoccupied first-type resources; and,

[0192] The first condition also depends on the occupancy status of the second type of resources within the resource group.

[0193] As an example, the occupancy status of the second type of resources within the resource group includes: the occupancy status of the second type of resources within the resource group in the first node.

[0194] As an example, the occupancy status of the second type of resources within the resource group includes: the total number of the second type of resources generated within the resource group that can be used for the first channel information.

[0195] As an example, the occupancy status of the second type of resources within the resource group includes whether the resource group includes at least M2 of the second type of resources generated by the first channel information.

[0196] As an example, the occupancy status of the second type of resources within the resource group includes: the total number of unoccupied second type of resources within the resource group.

[0197] As an example, the generation of the first channel information also occupies M2 second-type resources in the first resource group, where M2 is a positive integer; the occupancy status of the second-type resources in the resource group includes whether the total number of unoccupied second-type resources in the resource group is not less than M2.

[0198] As one embodiment, the generation of the first channel information corresponds to a first identifier; the occupancy status of the second type of resources in the resource group includes whether the resource group includes second type of resources that have been occupied for the first identifier.

[0199] As an example, the generation of the first channel information also occupies M2 second-type resources in the first resource group, where M2 is a positive integer; the generation of the first channel information corresponds to a first identifier; the occupancy status of the second-type resources in the resource group includes whether the resource group includes M2 second-type resources that have been occupied for the first identifier.

[0200] As an example, higher-level parameters are used to indicate M1.

[0201] As an example, higher-level parameters are used to indicate M2.

[0202] As an example, higher-level parameters are used to indicate M1 and M2.

[0203] As an example, the first node reports M1.

[0204] As an example, the first node reports M2.

[0205] As an example, the first node reports M1 and M2.

[0206] As an example, the reference information block indicates the M1.

[0207] As an example, the reference information block indicates the M2.

[0208] As an example, the reference information block indicates M1 and M2.

[0209] As an example, the advantages of the above method include simplified design, better adaptability to various application scenarios or terminals, and good flexibility.

[0210] As an example, the generation of the first channel information corresponds to a first identifier, and M1 depends on the first identifier.

[0211] As an example, the generation of the first channel information corresponds to a first identifier, and M2 depends on the first identifier.

[0212] As an example, the generation of the first channel information corresponds to a first identifier, and both M1 and M2 depend on the first identifier.

[0213] As an example, the advantages of the above method include: better adaptability to various application scenarios or terminals, and good flexibility and adaptability.

[0214] As one embodiment, the dependence of M1 on the first identifier includes: M1 being configured to the first identifier.

[0215] As one embodiment, the M1 relying on the first identifier includes: the first node reporting the M1 for the first identifier.

[0216] As an example, the dependence of M1 on the first identifier includes: the first identifier is one of Q1 identifiers, the Q1 identifiers respectively correspond to Q1 positive integers, where Q1 is a positive integer greater than 1; and M1 is a positive integer among the Q1 positive integers that corresponds to the first identifier.

[0217] As an example, the dependence of M1 on the first identifier includes: the first identifier is one of Q3 identifiers, the Q3 identifiers respectively correspond to Q3 non-negative integers, and Q3 is a positive integer greater than 1; the M1 is a positive integer among the Q3 non-negative integers that corresponds to the first identifier.

[0218] As one embodiment, the M2 depending on the first identifier includes: the M2 being configured to the first identifier.

[0219] As one embodiment, the M2 relying on the first identifier includes: the first node reporting the M2 for the first identifier.

[0220] As an example, the dependence of M2 on the first identifier includes: the first identifier is one of Q2 identifiers, the Q2 identifiers respectively correspond to Q2 positive integers, where Q2 is a positive integer greater than 1; and M2 is a positive integer among the Q2 positive integers that corresponds to the first identifier.

[0221] As an example, the dependence of M2 on the first identifier includes: the first identifier is one of Q4 identifiers, the Q4 identifiers respectively correspond to Q4 non-negative integers, and Q4 is a positive integer greater than 1; the M2 is a positive integer among the Q4 non-negative integers corresponding to the first identifier.

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

[0223] As an example, the reporting configuration of the first channel information indicates the M2.

[0224] As an example, the reporting configuration of the first channel information indicates M1 and M2.

[0225] As an example, the advantages of the above method include simplified design and flexible indication of the resources required for generating the first channel information.

[0226] As one embodiment, M1 depends on the amount of information reported in the first channel information.

[0227] As one embodiment, M2 depends on the amount of information reported in the first channel information.

[0228] As an example, both M1 and M2 depend on the amount of information reported in the first channel information.

[0229] As one embodiment, the reporting amount that M1 depends on the first channel information includes includes: M1 is configured to be the reporting amount included in the first channel information.

[0230] As an example, the M1 depends on the reporting amount included in the first channel information, which includes: the first node reports the M1 for the reporting amount included in the first channel information.

[0231] As an example, the M1 depends on the reporting amount included in the first channel information, which includes: the first channel information includes one of T1 reporting amounts, the T1 reporting amounts respectively correspond to T1 positive integers, where T1 is a positive integer greater than 1; and M1 is a positive integer among the T1 positive integers corresponding to the reporting amount included in the first channel information.

[0232] As an example, the M1 depends on the reporting amount included in the first channel information, which includes: the first channel information includes one of T2 reporting amounts, where each of the T2 reporting amounts corresponds to one of T2 non-negative integers, and T2 is a positive integer greater than 1; M1 is a positive integer among the T2 non-negative integers corresponding to the reporting amount included in the first channel information.

[0233] As one embodiment, the M2 depends on the reporting amount included in the first channel information, which includes: the M2 is configured to report the amount included in the first channel information.

[0234] As one embodiment, the M2 depends on the reporting amount included in the first channel information, including: the first node reporting: for the reporting amount included in the first channel information, the M2.

[0235] As an example, the M2 depends on the reporting amount included in the first channel information, which includes: the first channel information includes one of T3 reporting amounts, where each of the T3 reporting amounts corresponds to one of the T3 positive integers, and T3 is a positive integer greater than 1; M2 is a positive integer among the T3 positive integers that corresponds to the reporting amount included in the first channel information.

[0236] As an example, the M2 depends on the reporting amount included in the first channel information, which includes: the first channel information includes one of T4 reporting amounts, where each of the T4 reporting amounts corresponds to one of the T4 non-negative integers, and T4 is a positive integer greater than 1; M2 is a positive integer among the T4 non-negative integers corresponding to the reporting amount included in the first channel information.

[0237] As an example, the advantages of the above method include better adaptability to various reporting volumes and good flexibility.

[0238] Example 2

[0239] Example 2 illustrates a schematic diagram of a network architecture according to an embodiment of this application, as shown in Figure 2.

[0240] Figure 2 illustrates network architecture 200. Network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or a 5G+ network architecture, or a 6G network architecture, or a network architecture adopted in future evolutions by 3GPP; network architecture 200 may be referred to as 5GS (5G System) / EPS (Evolved Packet System), or 6GS (6G System); network architecture 200 includes at least one of UE (User Equipment) 201, RAN (Radio Access Network) 202, core network 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and Internet service 230. The network architecture 200 can interconnect with other access networks, but these entities / interfaces are not shown for simplicity. As shown, the network architecture 200 provides packet-switched services; however, those skilled in the art will readily understand that the various concepts presented throughout this application can be extended to networks providing circuit-switched services or other cellular networks. The RAN includes node 203. The RAN may also include other nodes 204. Node 203 provides user and control plane protocol termination toward UE 201. Node 203 may be connected to other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. Node 203 may also be referred to as a base station, base transceiver station, radio base station, radio transceiver, transceiver function, basic service set (BSS), extended service set (ESS), TRP (transmitter-receiver node), or some other suitable term. The core network 210 is a 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is a 6GC; node 203 provides UE 201 with an access point to the core network 210.Examples of UE201 include cellular phones, smartphones, Session Initiation Protocol (SIP) phones, laptops, personal digital assistants (PDAs), satellite radios, non-terrestrial base station communications, satellite mobile communications, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband IoT devices, machine-type communication devices, land vehicles, automobiles, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to UE201 as a mobile station, subscriber station, mobile unit, subscriber unit, radio unit, remote unit, mobile device, radio device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handheld device, user agent, mobile client, client, or any other suitable term. Node 203 is connected to the core network 210 via an S1 / NG interface. The core network 210 includes an MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MMEs / AMFs / SMFs 214, an S-GW (Service Gateway) / UPF (User Plane Function) 212, and a P-GW (Packet Data Network Gateway) / UPF 213. The MME / AMF / SMF 211 is the 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 Protocol) packets are transmitted through the S-GW / UPF 212, which is itself connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation and other functions. The P-GW / UPF 213 is connected to the Internet service 230. Internet services 230 include operator-compliant Internet protocol services, which may specifically include Internet, intranet, IMS (IP Multimedia Subsystem), and packet switching services.

[0241] As an example, the first node includes the UE201.

[0242] As one embodiment, the second node includes the node 203.

[0243] As an example, the wireless link between the UE201 and the node203 includes a cellular link.

[0244] As an example, the sender of the first channel information reporting configuration includes the node 203.

[0245] As an example, the sender of the reference information block includes the UE201.

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

[0247] As an example, the first resource set includes one or more RS resources, and the target receiver of the reference signal in the first resource set includes the UE201.

[0248] As one embodiment, the second resource set includes one or more RS resources, and the sender of the reference signal in the second resource set includes the node 203.

[0249] As one embodiment, the second resource set includes one or more RS resources, and the target receiver of the reference signal in the second resource set includes the UE201.

[0250] As an example, the J resource groups are in the UE201.

[0251] As an example, the generation of the first channel information is performed in the UE201.

[0252] As an example, the sender of the first channel information includes the UE201.

[0253] As an example, the target receiver of the first channel information includes the node 203.

[0254] As an example, the target receiver for the reporting configuration of the first channel information includes the UE201.

[0255] As an example, the sender of the first channel information reporting configuration includes the node 203.

[0256] As an example, the target recipient of the first information block includes the UE201.

[0257] As an example, the sender of the first information block includes the node 203.

[0258] Example 3

[0259] Example 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for the user plane and control plane according to an embodiment of this application, as shown in Figure 3.

[0260] Example 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for a user plane and control plane according to this application, as shown in Figure 3. 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 shows 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, using three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (physical layer) signal processing functions. Layer 1 will be referred to herein as PHY 301. Layer 2 (L2 layer) 305 is above PHY 301 and is responsible for the link between the first communication node device and the second communication node device, or between two UEs. Layer L2 305 includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. It also provides security through encrypted data packets and supports cross-cell mobility between the second communication node devices and the first communication node device. The RLC sublayer 303 provides upper-layer packet segmentation and reassembly, retransmission of lost packets, and packet reordering to compensate for out-of-order reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. It is also responsible for allocating various radio resources (e.g., resource blocks) within a cell among the first communication node devices. Furthermore, the MAC sublayer 302 handles HARQ operations. In the control plane 300, the Radio Resource Control (RRC) sublayer 306 of Layer 3 (L3) is responsible for acquiring radio resources (i.e., radio bearers) and configuring the lower layers using RRC signaling between the second and first communication node devices. The user plane 350's radio protocol architecture includes Layer 1 (L1) and Layer 2 (L2). The radio protocol architecture for the first and second communication node devices in the user plane 350 is largely the same as the corresponding layers and sublayers in the control plane 300 for Physical Layer 351, PDCP sublayer 354 in L2 Layer 355, RLC sublayer 353 in L2 Layer 355, and MAC sublayer 352 in L2 Layer 355. However, 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 an SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for mapping between QoS streams and data radio bearers (DRBs) to support service diversity. Although not illustrated, the first communication node device may have several upper layers above the L2 layer 355, including a network layer (e.g., IP layer) terminating at the P-GW on the network side and an application layer terminating at the other end of the connection (e.g., a remote UE, server, etc.).

[0261] As an example, the wireless protocol architecture in Figure 3 is applicable to the first node.

[0262] As an example, the wireless protocol architecture in Figure 3 is applicable to the second node.

[0263] As an example, the higher layer mentioned in this application refers to the layer above the physical layer.

[0264] As an example, the reporting configuration of the first channel information is generated in the RRC sublayer 306.

[0265] As one embodiment, the first resource set includes one or more RS resources, and the reference signal in the first resource set is generated in the PHY301 or the PHY351.

[0266] As one embodiment, the second resource set includes one or more RS resources, and the reference signal in the second resource set is generated in the PHY301 or the PHY351.

[0267] As an example, the first channel information is generated in the PHY301 or the PHY351.

[0268] As an example, the first channel information is generated in the MAC sublayer 302 or the MAC sublayer 352.

[0269] Example 4

[0270] Example 4 illustrates a schematic diagram of a first communication device and a second communication device according to an embodiment of this application, as shown in Figure 4. Figure 4 is a block diagram of a first communication device 410 and a second communication device 450 communicating with each other in an access network.

[0271] The first communication device 410 includes a controller / processor 475, a memory 476, a receiver processor 470, a transmitter processor 416, a multi-antenna receiver processor 472, a multi-antenna transmitter processor 471, a transmitter / receiver 418, and an antenna 420.

[0272] The second communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmitting processor 468, a receiving processor 456, a multi-antenna transmitting processor 457, a multi-antenna receiving processor 458, a transmitter / receiver 454, and an antenna 452.

[0273] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, upper-layer data packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements L2 layer functionality. In DL (Downlink), the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation to the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operation, 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 L1 layer (i.e., physical layer). Transmit processor 416 performs encoding 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), and M-quadrature amplitude modulation (M-QAM). Multi-antenna transmit processor 471 performs digital spatial precoding on the encoded and modulated symbols, including codebook-based precoding and non-codebook-based precoding, and beamforming processing, generating one or more parallel... The transmit processor 416 then maps each parallel stream to a subcarrier, multiplexes the modulated symbols with a reference signal (e.g., a pilot) in the time and / or frequency domains, and then uses an inverse fast Fourier transform (IFFT) to generate a physical channel carrying the time-domain multicarrier symbol stream. The multi-antenna transmit processor 471 then performs transmit analog precoding / beamforming operations on the time-domain multicarrier symbol stream. Each transmitter 418 converts the baseband multicarrier symbol stream provided by the multi-antenna transmit processor 471 into an RF stream, which is then provided to a different antenna 420.

[0274] In the 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 corresponding antenna 452. Each receiver 454 recovers the information modulated onto the radio frequency carrier and converts the radio frequency stream into a baseband multicarrier symbol stream, which is then provided to the receiver processor 456. The receiver processor 456 and the multi-antenna receiver processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receiver processor 458 performs receive analog precoding / beamforming operations on the baseband multicarrier symbol stream from the receiver 454. The receiver processor 456 uses a Fast Fourier Transform (FFT) to convert the baseband multicarrier symbol stream after the receive analog precoding / beamforming operations from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receiver processor 456, where the reference signal is used for channel estimation, and the data signal is recovered in the multi-antenna receiver processor 458 after multi-antenna detection to recover any parallel stream destined for the second communication device 450. Symbols on each parallel stream are demodulated and recovered in the receive processor 456, generating soft decisions. The receive processor 456 then decodes and deinterleaves the soft decisions to recover the upper-layer data and control signals transmitted over the physical channel by the first communication device 410. The upper-layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of Layer 2 (L2). The controller / processor 459 may be associated with a memory 460 storing program code and data. The memory 460 may be referred to as computer-readable media. In the DL (Layered Logic), the controller / processor 459 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover upper-layer packets from the core network. The upper-layer packets are then provided to all protocol layers above Layer 2. Various control signals may also be provided to Layer 3 (L3) for L3 processing. The controller / processor 459 is also responsible for error detection using ACK and / or NACK protocols to support HARQ operation.

[0275] 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 data packets to the controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmission functions at the first communication device 410 described in the DL, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels based on the radio resource allocation of the first communication device 410, implementing L2 layer functions 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. Transmit processor 468 performs modulation mapping and channel coding processing, while multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based and non-codebook-based precoding, and beamforming processing. Subsequently, transmit processor 468 modulates the generated parallel stream into a multi-carrier / single-carrier symbol stream. After analog precoding / beamforming operations in multi-antenna transmit processor 457, the stream is provided to different antennas 452 via transmitter 454. Each transmitter 454 first converts the baseband symbol stream provided by multi-antenna transmit processor 457 into a radio frequency symbol stream before providing it to antenna 452.

[0276] In the transmission from the second communication device 450 to the first communication device 410, the function at the first communication device 410 is similar to the receiving function at the second communication device 450 described in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives radio frequency signals through its corresponding antenna 420, converts the received radio frequency signals into baseband signals, and provides the baseband signals to the multi-antenna receiving processor 472 and the receiving processor 470. The receiving processor 470 and the multi-antenna receiving processor 472 jointly implement the L1 layer functions. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 may be associated with a memory 476 that stores program code and data. The memory 476 may be referred to as computer-readable media. The controller / processor 475 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover upper-layer data packets from the second communication device 450. The upper-layer data packets from the controller / processor 475 may be provided to the core network. The controller / processor 475 is also responsible for error detection using ACK and / or NACK protocols to support HARQ operation.

[0277] As one embodiment, the second communication device 450 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The second communication device 450 means at least: transmitting a reference information block, the reference information block being used to indicate J resource groups, any one of the J resource groups including at least one first type of resource, where J is a positive integer greater than 1; transmitting first channel information; wherein the generation of the first channel information occupies M1 of the first type of resources in the first resource group, M1 being a positive integer; the first resource group is one of the J resource groups that satisfies a first condition; the first condition includes: the resource group includes at least M1 unoccupied first type of resources.

[0278] As one embodiment, the second communication device 450 includes: a memory storing a computer-readable instruction program that generates actions when executed by at least one processor, the actions including: transmitting a reference information block, the reference information block being used to indicate J resource groups, any one of the J resource groups including at least one first type of resource, where J is a positive integer greater than 1; transmitting first channel information; wherein the generation of the first channel information occupies M1 of the first type of resources in the first resource group, where M1 is a positive integer; the first resource group is one of the J resource groups that satisfies a first condition; the first condition includes: the resource group includes at least M1 unoccupied first type of resources.

[0279] As one embodiment, the first communication device 410 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The first communication device 410 means at least: receiving a reference information block, the reference information block being used to indicate J resource groups, any one of the J resource groups including at least one first type of resource, where J is a positive integer greater than 1; receiving first channel information; wherein the generation of the first channel information occupies M1 of the first type of resources in the first resource group, M1 being a positive integer; the first resource group is one of the J resource groups that satisfies a first condition; the first condition includes: the resource group includes at least M1 unoccupied first type of resources.

[0280] As one embodiment, the first communication device 410 includes: a memory storing a computer-readable instruction program, which generates actions when executed by at least one processor, the actions including: receiving a reference information block, the reference information block being used to indicate J resource groups, any one of the J resource groups including at least one first type of resource, where J is a positive integer greater than 1; receiving first channel information; wherein the generation of the first channel information occupies M1 of the first type of resources in the first resource group, where M1 is a positive integer; the first resource group is one of the J resource groups that satisfies a first condition; the first condition includes: the resource group includes at least M1 unoccupied first type of resources.

[0281] As an example, the first node in this application includes the second communication device 450.

[0282] As an example, the second node in this application includes the first communication device 410.

[0283] As an example, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the reporting configuration of the first channel information in this application; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to transmit the reporting configuration of the first channel information in this application.

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

[0285] As an example, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the reference signal in the first resource set of this application; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to transmit the reference signal in the first resource set of this application.

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

[0287] As an example, at least one of the following is used in the generation of the first channel information in this application: {the antenna 452, the transmitter / receiver 454, the transmitter processor 468, the multi-antenna transmitter processor 457, the receiver processor 456, the multi-antenna receiver processor 458, the controller / processor 459, the memory 460, and the data source 467}.

[0288] As an example, at least one of {the antenna 452, the transmitter 454, the transmitter processor 468, the multi-antenna transmitter processor 457, the receiver processor 456, the multi-antenna receiver processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to transmit the first channel information in this application; at least one of {the antenna 420, the receiver 418, the receiver processor 470, the multi-antenna receiver processor 472, the transmitter processor 416, the multi-antenna transmitter processor 471, the controller / processor 475, and the memory 476} is used to receive the first channel information in this application.

[0289] Example 5

[0290] Example 5 illustrates a transmission flowchart according to an embodiment of this application; as shown in Figure 5. In Figure 5, the second node N1 and the first node U1 are communication nodes transmitting via an air interface. In Figure 5, the steps in blocks F50 to F51 are optional.

[0291] For the second node N1, a reference information block is received in step S511; a first information block is sent in step S512; a reporting configuration for the first channel information is sent in step S513; and the first channel information is received in step S514.

[0292] For the first node U1, a reference information block is sent in step S521; a first information block is received in step S522; the reporting configuration of the first channel information is received in step S523; and the first channel information is sent in step S524.

[0293] In embodiment 5, the reference information block is used to indicate J resource groups, each of the J resource groups including at least one first type of resource, where J is a positive integer greater than 1; the generation of the first channel information occupies M1 first type of resources in the first resource group, where M1 is a positive integer; the first resource group is one of the J resource groups that satisfies a first condition; the first condition includes: the resource group includes at least M1 unoccupied first type of resources.

[0294] As an example, the first node U1 is the first node in this application.

[0295] As an example, the second node N1 is the second node in this application.

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

[0297] As one embodiment, the air interface between the second node N1 and the first node U1 includes a wireless interface between the relay node device and the user equipment.

[0298] As one embodiment, the air interface between the second node N1 and the first node U1 includes a wireless interface between user equipment and user equipment.

[0299] As one example, the second node N1 is the serving cell sustaining base station of the first node U1.

[0300] As an example, the first node performs a first operation, and the first channel information depends on the output of the first operation.

[0301] As an example, the first node deploys the first operation.

[0302] As one embodiment, the deployment of the first operation includes: obtaining the first operation.

[0303] As an example, the deployment first operation includes: loading the first operation.

[0304] As one embodiment, the deployment of the first operation includes: submitting a request to load the first operation.

[0305] As an example, the first operation is used for CSI prediction, beam prediction, or CSI compression.

[0306] As an example, the first operation is used for beam prediction or CSI prediction.

[0307] As an example, the first node performs a first operation, and the second node performs a second operation.

[0308] As one embodiment, the second node performs a second operation; wherein the sender of the reference information block performs a first operation, the output of the first operation includes a first CSI, the first channel information carries the first CSI, and the first CSI is used as input to the second operation to generate a second CSI.

[0309] As an example, the second node deploys the second operation.

[0310] As one embodiment, the deployment of the second operation includes: obtaining the second operation.

[0311] As an example, the deployment of the second operation includes: loading the second operation.

[0312] As one embodiment, the deployment of the second operation includes: submitting a request to load the second operation.

[0313] As an example, the first operation is used for CSI compression, and the second operation is used for CSI recovery.

[0314] As an example, the 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 input to the second operation to generate a second CSI.

[0315] As an example, the J resource groups are in the first node.

[0316] As one embodiment, the J resource groups are located in the first processor.

[0317] As an example, the reference information block is used to indicate J resource groups in the first node.

[0318] As an example, any one of the J resource groups consists of at least one first type of resource.

[0319] As an example, any one of the J resource groups includes at least one first-class resource and at least one second-class resource.

[0320] As an example, any one of the J resource groups consists of at least one first-class resource and at least one second-class resource.

[0321] As an example, among the J resource groups, there are two resource groups that include different total numbers of the first type of resources.

[0322] As an example, the total number of the first type of resources included in each of the J resource groups is the same.

[0323] As an example, among the J resource groups, there are two resource groups that include different total numbers of the second type of resources.

[0324] As an example, the total number of the second type of resources included in each of the J resource groups is the same.

[0325] As an example, any one of the J resource groups includes more than one first-class resource.

[0326] As an example, any one of the J resource groups includes a first type of resource.

[0327] As an example, any one of the J resource groups includes a second type of resource.

[0328] As an example, any one of the J resource groups includes more than one second-class resource.

[0329] As an example, any one of the J resource groups includes a first type of resource and a second type of resource.

[0330] As an example, any one of the J resource groups includes more than one first-class resource and one second-class resource.

[0331] As an example, any one of the J resource groups includes more than one first-class resource and more than one second-class resource.

[0332] As an example, the reference information block belongs to the capability information of the first node.

[0333] As one embodiment, the reference information block includes the capability information of the first node.

[0334] As one embodiment, the reference information block includes one or more capability parameters of the first node.

[0335] As an example, the reference information block includes one or more fields in one or more UE (user equipment) capability IE (information element).

[0336] As an example, the reference information block includes one or more parameters in one or more UE (user equipment) capability IEs.

[0337] As an example, after receiving a UE Capability Enquiry from the network, the first node transmits its own capability information, and the reference information block belongs to the first node's capability information.

[0338] As an example, the capability information of the first node includes UECapabilityInformation.

[0339] As an example, the capability information of the first node includes the radio access capability of the first node.

[0340] As one embodiment, the reference information block is used to indicate J resource groups, including: the reference information block indicates the J.

[0341] As one embodiment, the reference information block is used to indicate J resource groups, including: the reference information block indicates the maximum number of resource groups, where J is equal to or less than the maximum number of resource groups.

[0342] As an example, the reference information block is used to indicate J resource groups, including: the reference information block indicates the total number of the first type of resources in one of the J resource groups, or at least one of the J.

[0343] As an example, the reference information block is used to indicate J resource groups, including: the reference information block indicating at least one of the maximum number of the resource groups or the maximum number of the first type of resources within the resource groups, wherein J is equal to or less than the maximum number of the resource groups.

[0344] As an example, the reference information block is used to indicate J resource groups, including: the reference information block indicating the total number of the first type of resources in each of the J resource groups, or at least one of the J.

[0345] As an example, any one of the J resource groups includes at least one first type of resource and at least one second type of resource; the reference information block is used to indicate the J resource groups including: the reference information block indicates the total number of the first type of resources in one of the J resource groups, the total number of the second type of resources in one of the J resource groups, or at least one of the J.

[0346] As an example, any one of the J resource groups includes at least one first type of resource and at least one second type of resource; the reference information block is used to indicate the J resource groups including: the reference information block indicates at least one of the maximum number of the resource group, the maximum number of the first type of resource in the resource group, or the maximum number of the second type of resource in the resource group, wherein J is equal to or less than the maximum number of the resource group.

[0347] As a sub-implementation of the above embodiments, the total number of the first type of resources in one of the J resource groups is equal to or less than the maximum number of the first type of resources in the resource group.

[0348] As a sub-example of the above embodiments, the total number of the second type of resources in one of the J resource groups is equal to or less than the maximum number of the second type of resources in the resource group.

[0349] As an example, any one of the J resource groups includes at least one first type of resource and at least one second type of resource; the reference information block is used to indicate the J resource groups including: the reference information block indicates the total number of the first type of resources in each of the J resource groups, the total number of the second type of resources in each of the J resource groups, or at least one of the J.

[0350] As one embodiment, the reference information block is used to indicate J resource groups, including: the reference information block indicating the total number of the first type of resources, or at least one of the J.

[0351] As one embodiment, the reference information block is used to indicate J resource groups, including: the reference information block indicating at least one of the maximum number of the first type of resources or the maximum number of the resource groups; wherein J is equal to or less than the maximum number of the resource groups.

[0352] As an example, the total number of the first type of resources in each of the J resource groups is equal to the positive integer obtained by dividing the total number of the first type of resources by the J; the reference information block is used to indicate the J resource groups including: the reference information block indicates the total number of the first type of resources, or at least one of the J.

[0353] As an example, the reference information block is used to indicate J resource groups including: the reference information block indicates at least one of the maximum number of the first type of resources or the maximum number of the resource groups; the total number of the first type of resources in each of the J resource groups is equal to or less than the positive integer obtained by dividing the maximum number of the first type of resources by the maximum number of the resource groups.

[0354] As an example, any one of the J resource groups includes at least one first type of resource and at least one second type of resource; the reference information block is used to indicate the J resource groups as follows: the reference information block indicates the total number of the first type of resources, the total number of the second type of resources, or at least one of the J.

[0355] As an example, any one of the J resource groups includes at least one first type of resource and at least one second type of resource; the reference information block is used to indicate the J resource groups including: the reference information block indicates at least one of the maximum number of the first type of resource, the maximum number of the second type of resource, or the maximum number of the resource groups; J is equal to or less than the maximum number of the resource groups.

[0356] As an example, any one of the J resource groups includes at least one first type of resource and at least one second type of resource; the total number of the first type of resources in each of the J resource groups is equal to the total number of the first type of resources divided by J to obtain a positive integer; the total number of the second type of resources in each of the J resource groups is equal to the total number of the second type of resources divided by J to obtain a positive integer; the reference information block is used to indicate that the J resource groups include: the reference information block indicates the total number of the first type of resources, the total number of the second type of resources, or at least one of J.

[0357] As one embodiment, the first processor in this application receives a first information block; wherein the first information block is carried by higher-layer signaling.

[0358] As an example, the method in the first node of this application includes: receiving a first information block; wherein the first information block is carried by higher-layer signaling.

[0359] As one embodiment, the second processor in this application sends a first information block; wherein the first information block is carried by higher-layer signaling.

[0360] As one embodiment, the method in the second node of this application includes: sending a first information block; wherein the first information block is carried by higher-layer signaling.

[0361] As one embodiment, the first information block is carried by higher-layer signaling and includes: the first information block includes one or more higher-layer parameters.

[0362] As one embodiment, the first information block is carried by higher-layer signaling and includes: the first information block includes one or more fields in one or more RRC IEs.

[0363] As one embodiment, the first information block is carried by higher-level signaling and includes: the first information block includes one or more higher-level parameters in one or more RRC IEs.

[0364] As one embodiment, the reference information block is used to indicate J resource groups, including: the first information block is used to indicate J resource groups, and the information indicated by the first information block depends on the information indicated by the reference information block.

[0365] As an example, the reference information block is used to indicate J resource groups, including: the reference information block indicating the maximum value of J, and the first information block indicating J.

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

[0367] As an example, the reference information block is used to indicate J resource groups, including: the reference information block indicating the maximum number of the first type of resources within the resource group; the first information block indicating the total number of the first type of resources within one of the J resource groups; and the total number of the first type of resources within one of the J resource groups being equal to or less than the maximum number of the first type of resources within the resource group.

[0368] As one embodiment, the reference information block is used to indicate J resource groups including: the reference information block indicates the maximum number of the first type of resources, the first information block indicates the total number of the first type of resources, and the total number of the first type of resources is equal to or less than the maximum number of the first type of resources.

[0369] As an example, the reference information block is used to indicate J resource groups including: the reference information block indicates at least one of the maximum number of the first type of resources or the maximum number of the resource groups; the first information block indicates the total number of the first type of resources or at least one of J; the J is equal to or less than the maximum number of the resource groups, and the total number of the first type of resources is equal to or less than the maximum number of the first type of resources.

[0370] As an example, any one of the J resource groups includes at least one first type of resource and at least one second type of resource; the reference information block is used to indicate the J resource groups including: the reference information block indicates at least one of the maximum number of the first type of resource, the maximum number of the second type of resource, or the maximum number of the resource groups; the first information block indicates the total number of the first type of resource, the total number of the second type of resource, or at least one of J; the total number of the first type of resource is equal to or less than the maximum number of the first type of resource; the total number of the second type of resource is equal to or less than the maximum number of the first type of resource; and J is equal to or less than the maximum number of the resource groups.

[0371] As an embodiment, any one of the J resource groups includes at least one first type of resource and at least one second type of resource; the reference information block is used to indicate the J resource groups including: the reference information block indicates at least one of the maximum number of the first type of resources in the resource group, the maximum number of the second type of resources in the resource group, or the maximum number of the resource groups; the first information block indicates the total number of the first type of resources in one of the J resource groups, the total number of the second type of resources in one of the J resource groups, or at least one of J; the total number of the first type of resources in one of the J resource groups is equal to or less than the maximum number of the first type of resources in the resource group; the total number of the second type of resources in one of the J resource groups is equal to or less than the maximum number of the second type of resources in the resource group; and J is equal to or less than the maximum number of the resource groups.

[0372] As an example, the total number of the first type of resources in each of the J resource groups is equal to the total number of the first type of resources divided by J to obtain a positive integer.

[0373] As an example, the total number of the second type of resources in each of the J resource groups is equal to the total number of the second type of resources divided by J to obtain a positive integer.

[0374] As an example, the total number of the first type of resources in each of the J resource groups is equal to the positive integer obtained by dividing the maximum number of the first type of resources by the maximum number of the resource group.

[0375] As an example, the total number of the second type of resources in each of the J resource groups is equal to the positive integer obtained by dividing the maximum number of the second type of resources by the maximum number of the resource group.

[0376] As one embodiment, the reporting configuration of the first channel information and the first information block are carried by higher layer signaling.

[0377] As an example, the reporting configuration of the first channel information and the first information block are carried by RRC signaling.

[0378] As an example, the reporting configuration of the first channel information and the first information block belong to the same RRC IE.

[0379] As an example, the reporting configuration of the first channel information and the first information block belong to the same IE CSI-ReportConfig.

[0380] As an example, the reporting configuration of the first channel information and the first information block belong to different RRC IEs.

[0381] As one embodiment, the reporting configuration of the first channel information and the first information block respectively include some or all fields in different RRC IEs.

[0382] As one example, the reporting configuration of the first channel information is carried by higher layer signaling.

[0383] As an example, the reporting configuration of the first channel information is carried by RRC (Radio Resource Control) signaling.

[0384] As an example, the reporting configuration of the first channel information includes some or all fields in an RRC IE (Information Element).

[0385] As an example, the reporting configuration of the first channel information includes some or all of the fields in at least one RRC IE.

[0386] As one example, the reporting configuration of the first channel information includes multiple RRC IEs.

[0387] As one embodiment, the reporting configuration of the first channel information includes some or all of the fields in one or more RRC IEs.

[0388] As one embodiment, the reporting configuration of the first channel information includes some or all fields in an IE CSI-ReportConfig.

[0389] As one example, the reporting configuration of the first channel information includes one or more IE CSI-ReportConfigs.

[0390] As one embodiment, the reporting configuration of the first channel information includes some or all of the fields in one or more IE CSI-ReportConfig.

[0391] As one example, the reporting configuration of the first channel information includes some or all of the domains in IE ServingCellConfig.

[0392] As one example, the reporting configuration of the first channel information includes some or all of the fields in IE CSI-MeasConfig IE.

[0393] As one example, the reporting configuration of the first channel information includes some or all of the domains in IE ServingCellConfigCommon IE.

[0394] As one example, the reporting configuration of the first channel information includes some or all of the domains in IE ServingCellConfig.

[0395] As an example, the reporting configuration of the first channel information indicates at least one of the following: RS resources for channel measurement, RS resources for interference channel measurement, reporting type, or reporting quantity.

[0396] As one embodiment, the reporting configuration of the first channel information indicates at least one of a first resource set, a reporting type, or a reporting quantity; the first resource set includes one or more RS resources for at least one of channel measurement or interference measurement of the first channel information.

[0397] As one embodiment, the reporting configuration of the first channel information indicates at least one of a first resource set, a second resource set, a reporting type, or a reporting quantity; the first resource set includes one or more RS resources for at least one of channel measurement or interference measurement of the first channel information.

[0398] As a sub-implementation of the above embodiments, the reporting type indicates at least one of periodic reporting, semi-persistent reporting, non-periodic reporting, or event-triggered reporting.

[0399] As a sub-example of the above embodiments, the reporting type indicates at least one of periodic reporting, semi-persistent reporting, or non-periodic reporting.

[0400] As an example, the first channel information is one of periodic reporting, semi-persistent reporting, non-periodic reporting, or event-triggered reporting.

[0401] As an example, the event-triggered reporting in this application includes UE-initiated reporting.

[0402] As an example, a semi-persistent first channel information is activated by MAC CE.

[0403] As an example, an aperiodic first channel information is triggered by DCI.

[0404] As an example, the first channel information triggered by an event is triggered when a certain event occurs.

[0405] Examples 6A-6B

[0406] Examples 6A-6B illustrate schematic diagrams of the first condition according to an embodiment of this application, as shown in Figures 6A-6B respectively.

[0407] In Example 6A, the first condition includes: the resource group includes at least M1 unoccupied resources of the first type, where M1 is a positive integer.

[0408] As one embodiment, the unoccupied first type of resources includes: the first type of resources that are not occupied in the first node.

[0409] As an example, a first type of resource not being occupied includes: the first type of resource not being used for at least one of processing, computing, or inference.

[0410] As an example, a first type of resource being occupied includes: the first type of resource being used for at least one of processing, computation, or inference.

[0411] As an example, a first-class resource being occupied includes a first-class resource not being idle.

[0412] As an example, an unoccupied first-class resource includes a first-class resource being idle.

[0413] As an example, the occupation of a first-class resource includes: the first-class resource has been used for at least one of computation or inference.

[0414] As an example, an unoccupied first-class resource includes: a first-class resource not being used in at least one of computation or inference.

[0415] In embodiment 6B, any one of the J resource groups further includes at least one second type of resource, and the generation of the first channel information also occupies M2 second type resources in the first resource group, where M2 is a positive integer; the first condition includes: the resource group includes at least M1 unoccupied first type resources, where M1 is a positive integer, and the resource group includes at least M2 second type resources that can be used for the generation of the first channel information.

[0416] As an example, M2 is the default value.

[0417] As an example, M2 is predefined.

[0418] As an example, M2 is configurable.

[0419] As an example, M2 is 1.

[0420] As an example, M2 is a positive integer greater than 1.

[0421] As an example, M2 is a positive integer of 1 or greater than 1.

[0422] As an example, M2 is the total number of the second type of resources occupied by the generation of the first channel information.

[0423] As an example, M2 is the total number of the second type of resources required for the generation of the first channel information.

[0424] Examples 7A-7C

[0425] Examples 7A-7C respectively illustrate schematic diagrams of the second type of resource that can be generated from the first channel information according to an embodiment of this application; as shown in Figures 7A-7C respectively.

[0426] In Embodiment 7A, the second type of resource that can be used for the generation of the first channel information includes: unoccupied second type of resources.

[0427] As an example, the first condition includes: the resource group includes at least M2 unoccupied resources of the second type, where M2 is a positive integer.

[0428] In embodiment 7B, the generation of the first channel information corresponds to a first identifier; the second type of resources that can be used for the generation of the first channel information include: second type of resources that have been occupied for the first identifier.

[0429] As an example, the first condition includes: the resource group includes at least M2 second-type resources that have been occupied for the first identifier, where M2 is a positive integer.

[0430] As an example, the first identifier is a non-negative integer.

[0431] As an example, the first identifier is a string.

[0432] As an example, the first identifier is used to identify at least one second-class resource and at least one first-class resource.

[0433] As an example, the first 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.

[0434] As an example, the first identifier is used to identify one of the J resource groups.

[0435] As an example, the first identifier is used to identify one of the J resource groups, wherein any one of the J resource groups includes at least one second type of resource and at least one first type of resource, and J is a positive integer greater than 1.

[0436] As an example, the first identifier is used to identify the first channel information.

[0437] As one embodiment, the first identifier is used to identify the amount of reporting included in the first channel information.

[0438] As an example, the first identifier is used to identify the reporting configuration of the first channel information.

[0439] As an example, the first identifier is different from the reporting configuration identifier of the first channel information.

[0440] As an example, the first identifier is used to identify the AI ​​model.

[0441] As an example, the first identifier is used by the first node to identify an AI model.

[0442] As an example, the first identifier is used by the first node to determine the AI ​​model used in the first operation.

[0443] As an example, the first identifier is used to identify the AI ​​entity.

[0444] As an example, the first identifier is used to identify AI functionality.

[0445] As an example, the advantages of the above method include that identifying an AI model / entity / function through the first identifier simplifies the design and unifies the understanding of different AI entities or functions across multiple nodes.

[0446] As one embodiment, the first identifier is used to identify or indicate a set of resources.

[0447] As one embodiment, the first identifier is used to identify or indicate a set of resources, the measurement of which is used to obtain a training dataset.

[0448] As one embodiment, the first identifier is used to identify or indicate a set of resources.

[0449] As one embodiment, the resource set identified or indicated by the first identifier includes one or more RS resources.

[0450] As one embodiment, the resource set identified or indicated by the first identifier consists of one or more RS resources.

[0451] As an example, the first identifier is used to identify or indicate the training dataset.

[0452] As an example, the benefits of the above method include establishing consensus among different AI functions by identifying an AI training or AI training dataset to recognize the inferences generated by that AI training or AI training dataset, further simplifying the design.

[0453] As one embodiment, the second type of resource that has been occupied for the first identifier includes: the second type of resource is used to generate information different from the first channel information, and the generation of the information different from the first channel information corresponds to the first identifier.

[0454] As one embodiment, the second type of resource that has been occupied for the first identifier includes: the second type of resource is used to generate channel information that is different from the first channel information, and the generation of the channel information that is different from the first channel information corresponds to the first identifier.

[0455] As one embodiment, the second type of resource that is already occupied by the first identifier includes: the second type of resource being identified by the first identifier.

[0456] As one embodiment, the second type of resource that the first identifier has been occupied includes: the first identifier is used to identify an AI model, and the second type of resource is occupied by the AI ​​model identified by the first identifier.

[0457] As one embodiment, the second type of resource that is occupied for the first identifier includes: the first identifier is used to identify an AI entity, and the second type of resource is occupied by the AI ​​entity identified by the first identifier.

[0458] As one embodiment, the second type of resources for the purpose of the first identifier being occupied includes: the first identifier being used to identify an AI function, and the second type of resources being used for the AI ​​function identified by the first identifier.

[0459] As one embodiment, the second type of resource for the purpose of the first identifier being occupied includes: the first identifier being used to identify an AI model, and the second type of resource being used to store the AI ​​model identified by the first identifier.

[0460] As one embodiment, the second type of resource for which the first identifier has been occupied includes: 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.

[0461] As one embodiment, the second type of resource for which the first identifier has been occupied includes: the first identifier is used to identify or indicate a set of resources, and the second type of resource is used to store the set of resources identified or indicated by the first identifier.

[0462] As one embodiment, the second type of resource for which the first identifier has been occupied includes: the first identifier is used to identify or indicate a set of resources, and the second type of resource is used to store the measurement results of the set of resources identified or indicated by the first identifier.

[0463] As one embodiment, the second type of resource for which the first identifier has been occupied includes: the first identifier is used to identify or indicate a training dataset, and the second type of resource is used to store the training dataset identified or indicated by the first identifier.

[0464] As one embodiment, the second type of resource that is occupied for the first identifier includes: the first identifier is used to identify or indicate a resource set, the measurement of the resource set is used to obtain a training dataset, and the second type of resource is used to store the measurement results of the resource set identified or indicated by the first identifier or the training dataset.

[0465] As an example, the generation of given information corresponding to the first identifier includes: a reporting configuration indication first identifier for the given information, wherein the first identifier corresponding to the generation of the given information is the first identifier of the reporting configuration indication for the given information.

[0466] As a sub-implementation of the above embodiments, the given information is the information that is different from the first channel information.

[0467] As a sub-implementation of the above embodiments, the given information is the channel information that is different from the first channel information.

[0468] As one embodiment, the generation of given information corresponding to the first identifier includes: the given information depends on the output of a first operation, the first operation corresponding to the first identifier.

[0469] As a sub-implementation of the above embodiments, the given information is the information that is different from the first channel information.

[0470] As a sub-implementation of the above embodiments, the given information is the channel information that is different from the first channel information.

[0471] As one embodiment, the generation of given information corresponding to the first identifier includes: the generation of the given information using an AI model identified by the first identifier, or the given information being generated in an AI entity identified by the first identifier, or the given information being used for an AI function identified by the first identifier.

[0472] As a sub-implementation of the above embodiments, the given information is the information that is different from the first channel information.

[0473] As a sub-implementation of the above embodiments, the given information is the channel information that is different from the first channel information.

[0474] In embodiment 7C, the generation of the first channel information corresponds to a first identifier; the second type of resources that can be used for the generation of the first channel information include: unoccupied second type of resources, and second type of resources that have been occupied for the first identifier.

[0475] As an example, the first condition includes: the resource group includes at least M2 unoccupied resources of the second type, or the resource group includes at least M2 resources of the second type that have been occupied for the first identifier, where M2 is a positive integer.

[0476] Examples 8A-8C

[0477] Examples 8A-8C illustrate schematic diagrams of a first resource group according to an embodiment of this application, as shown in Figures 8A-8C respectively.

[0478] In embodiment 8A, the generation of the first channel information corresponds to the first identifier; when there are M2 second-type resources that have been occupied for the first identifier in one of the J resource groups, and the resource group includes at least M1 unoccupied first-type resources, the resource group is the first resource group.

[0479] As an example, multiple resource groups among the J resource groups satisfy the first condition, and the first resource group is one of the multiple resource groups.

[0480] As one embodiment, the first condition includes: the resource group includes at least M1 unoccupied resources of the first type and at least M2 resources of the second type that can be used for the generation of the first channel information;

[0481] If multiple resource groups in the J resource groups all satisfy the first condition, the generation of the first channel information corresponds to the first identifier; when there are M2 second-type resources that have been occupied for the first identifier in one of the multiple resource groups, and the resource group includes at least M1 unoccupied first-type resources, the resource group is the first resource group.

[0482] As an example, the advantages of using the above method include: minimizing the occupation of resource groups and improving resource utilization.

[0483] As an example, the advantages of using the above method include energy savings.

[0484] As an example, the advantages of the above method include: improved processing speed.

[0485] As an example, the advantages of the above method include: reduced processing latency.

[0486] In embodiment 8B, the generation of the first channel information corresponds to a first identifier; multiple resource groups among the J resource groups all satisfy the first condition; when one of the multiple resource groups contains M2 second-type resources that have been occupied for the first identifier, the resource group is the first resource group. In Figure 8B, resource group #1, resource group #2, ..., resource group #J respectively represent the J resource groups, where resource group #1 and resource group #2 are the multiple resource groups among the J resource groups that all satisfy the first condition, and resource group #1 is the first resource group.

[0487] As an example, the generation of the first channel information corresponds to a first identifier; multiple resource groups among the J resource groups all satisfy the first condition; when one of the multiple resource groups contains M2 second-type resources that have been occupied for the first identifier, the resource group is the first resource group; wherein,

[0488] The first condition includes: the resource group includes at least M1 unoccupied resources of the first type.

[0489] As an example, the generation of the first channel information corresponds to a first identifier; multiple resource groups among the J resource groups all satisfy the first condition; when one of the multiple resource groups contains M2 second-type resources that have been occupied for the first identifier, the resource group is the first resource group; wherein,

[0490] The first condition includes: the resource group includes at least M1 unoccupied first-type resources and at least M2 second-type resources that can be used for the generation of the first channel information; wherein, the second-type resources that can be used for the generation of the first channel information include: unoccupied second-type resources and second-type resources that have been occupied for the purpose of the first identifier.

[0491] As an example, the generation of the first channel information corresponds to a first identifier; multiple resource groups among the J resource groups all satisfy the first condition; when one of the multiple resource groups contains M2 second-type resources that have been occupied for the first identifier, the resource group is the first resource group; wherein,

[0492] The first condition includes: the resource group includes at least M1 unoccupied resources of the first type; and,

[0493] The resource group includes at least M2 unoccupied resources of the second type, or the resource group includes at least M2 resources of the second type that have been occupied for the first identifier, where M2 is a positive integer.

[0494] As an example, the generation of the first channel information corresponds to a first identifier; multiple resource groups among the J resource groups all satisfy the first condition, one of the multiple resource groups includes at least M2 unoccupied second-type resources, and one of the multiple resource groups contains M2 second-type resources that have been occupied for the first identifier; the first resource group is the resource group among the multiple resource groups that includes the M2 second-type resources that have been occupied for the first identifier; wherein,

[0495] The first condition includes: the resource group includes at least M2 unoccupied resources of the second type, or the resource group includes at least M2 resources of the second type that have been occupied for the first identifier, where M2 is a positive integer.

[0496] In the above method, a resource group comprising at least M2 second-class resources that have been occupied for the first identifier is preferentially selected for generating the first channel information.

[0497] As an example, the advantages of using the above method include: minimizing the occupation of resource groups and improving resource utilization.

[0498] As an example, the advantages of using the above method include energy savings.

[0499] As an example, the advantages of the above method include: improved processing speed.

[0500] As an example, the advantages of the above method include: reduced processing latency.

[0501] In embodiment 8C, multiple resource groups among the J resource groups all satisfy the first condition; the first resource group is one of the multiple resource groups that satisfies the second condition; the second condition includes at least one of the first sub-condition or the second sub-condition; wherein...

[0502] The first sub-condition includes: at least one of the first type of resources in the resource group has been occupied;

[0503] The second sub-condition includes: the number of unoccupied resources of the first type within the resource group is the minimum.

[0504] In Figure 8C, resource group #1, resource group #2, ..., resource group #J represent the J resource groups, where resource group #1 and resource group #2 are the multiple resource groups among the J resource groups that all satisfy the first condition, and resource group #1 is the first resource group.

[0505] As one embodiment, the second condition includes: at least one of the first type of resources in the resource group has been occupied.

[0506] As one embodiment, the second condition includes: the number of unoccupied first-type resources in the resource group is the minimum.

[0507] As one embodiment, the second condition includes: at least one of the first type of resources in the resource group has been occupied, or the number of unoccupied first type of resources in the resource group is minimal.

[0508] As one embodiment, the second condition includes a first sub-condition and a second sub-condition; satisfying the second condition includes satisfying at least one of the first sub-condition or the second sub-condition; wherein,

[0509] The first sub-condition includes: at least one of the first type of resources in the resource group has been occupied;

[0510] The second sub-condition includes: the number of unoccupied resources of the first type within the resource group is the minimum.

[0511] As one embodiment, the second condition includes at least one of a first sub-condition, a second sub-condition, or a third sub-condition; wherein,

[0512] The first sub-condition includes: at least one of the first type of resources in the resource group has been occupied;

[0513] The second sub-condition includes: the number of unoccupied resources of the first type within the resource group is the smallest;

[0514] The third sub-condition includes: at least one of the second type of resources in the resource group has been occupied.

[0515] As one embodiment, the second condition includes: at least one of the second type of resources in the resource group has been occupied.

[0516] As one embodiment, the second condition includes: at least one of the first type of resources in the resource group has been occupied, or the number of unoccupied first type of resources in the resource group is the minimum, or at least one of the second type of resources in the resource group has been occupied.

[0517] As one embodiment, the second condition includes a first sub-condition, a second sub-condition, and a third sub-condition; satisfying the second condition includes satisfying at least one of the first sub-condition, the second sub-condition, or the third sub-condition; wherein,

[0518] The first sub-condition includes: at least one of the first type of resources in the resource group has been occupied;

[0519] The second sub-condition includes: the number of unoccupied resources of the first type within the resource group is the smallest;

[0520] The third sub-condition includes: at least one of the second type of resources in the resource group has been occupied.

[0521] As an example, any one of the J resource groups consists of at least one first type of resource; multiple resource groups among the J resource groups all satisfy the first condition; the first resource group is one of the multiple resource groups that satisfies the second condition.

[0522] As an example, any one of the J resource groups includes at least one first type of resource and at least one second type of resource; multiple resource groups in the J resource groups all satisfy the first condition; the first resource group is one of the multiple resource groups that satisfies the second condition; the generation of the first channel information corresponds to a first identifier; and each of the multiple resource groups does not have any second type of resource that has been occupied for the first identifier.

[0523] As an example, any one of the J resource groups includes at least one first type of resource and at least one second type of resource; multiple resource groups in the J resource groups all satisfy the first condition; the first resource group is one of the multiple resource groups that satisfies the second condition; the generation of the first channel information corresponds to a first identifier; and each of the multiple resource groups does not have M2 second type resources that have been occupied for the first identifier.

[0524] As an example, any one of the J resource groups includes at least one first type of resource and at least one second type of resource; multiple resource groups in the J resource groups all satisfy the first condition; the first resource group is one of the multiple resource groups that satisfies the second condition; and each second type of resource in each of the multiple resource groups is unoccupied.

[0525] As an example, any one of the J resource groups includes at least one first type of resource and at least one second type of resource; multiple resource groups in the J resource groups all satisfy the first condition; the first resource group is one of the multiple resource groups that satisfies the second condition; the generation of the first channel information corresponds to a first identifier; any second type of resource that has been occupied in the multiple resource groups is not for the first identifier.

[0526] As an example, any one of the J resource groups includes at least one first type of resource and at least one second type of resource; multiple resource groups in the J resource groups all satisfy the first condition; the first resource group is one of the multiple resource groups that satisfies the second condition; the generation of the first channel information corresponds to a first identifier; any second type of resource that has been occupied in the multiple resource groups is for an identifier different from the first identifier.

[0527] As an example, the absence of any second-type resource in the resource group that has been occupied for the first identifier includes: any second-type resource in the resource group is not occupied.

[0528] As an example, the second type of resources in the resource group that are not occupied for the first identifier include: any occupied second type of resource in the resource group is not for the first identifier.

[0529] As an example, the second type of resources in the resource group that are not occupied for the first identifier include: any second type of resource in the resource group that is occupied is for an identifier different from the first identifier.

[0530] As an example, the absence of M2 second-type resources in the resource group that have been occupied for the first identifier includes: any second-type resource in the resource group is not occupied.

[0531] As an example, the statement that there are no M2 second-class resources in the resource group that have been occupied for the first identifier includes: the total number of second-class resources in the resource group that have been occupied for the first identifier is less than M2.

[0532] As one embodiment, the second type of resources that have been occupied for a given identifier include: the second type of resources being used to generate information different from the first channel information, and the generation of the information different from the first channel information corresponds to the given identifier.

[0533] As one embodiment, the second type of resources that have been occupied for a given identifier include: the second type of resources are used to generate channel information that is different from the first channel information, and the generation of the channel information that is different from the first channel information corresponds to a given identifier.

[0534] As one embodiment, the second type of resource that has been occupied for a given identifier includes: the second type of resource being identified by a given identifier.

[0535] As one embodiment, the second type of resource that has been occupied for a given identifier includes: the given identifier is used to identify an AI model, and the second type of resource is occupied by the AI ​​model identified by the given identifier.

[0536] As one embodiment, the second type of resource that has been occupied for a given identifier includes: the given identifier is used to identify an AI entity, and the second type of resource is occupied by the AI ​​entity identified by the given identifier.

[0537] As one embodiment, the second type of resources that have been occupied for a given identifier include: the given identifier is used to identify an AI function, and the second type of resources are used for the AI ​​function identified by the given identifier.

[0538] As one embodiment, the second type of resource that has been occupied for a given identifier includes: the given identifier is used to identify an AI model, and the second type of resource is used to store the AI ​​model identified by the given identifier.

[0539] As one embodiment, the second type of resource that has been occupied for a given identifier includes: the given identifier is used to identify an AI entity, and the second type of resource is used to store the AI ​​entity identified by the given identifier.

[0540] As one embodiment, the second type of resource that has been occupied for a given identifier includes: the given identifier is used to identify or indicate a set of resources, and the second type of resource is used to store the set of resources identified or indicated by the given identifier.

[0541] As one embodiment, the second type of resource that has been occupied for a given identifier includes: the given identifier is used to identify or indicate a set of resources, and the second type of resource is used to store the measurement results of the set of resources identified or indicated by the given identifier.

[0542] As one embodiment, the second type of resource that has been occupied for a given identifier includes: the given identifier is used to identify or indicate a training dataset, and the second type of resource is used to store the training dataset identified or indicated by the given identifier.

[0543] As one embodiment, the second type of resource that has been occupied for a given identifier includes: the given identifier is used to identify or indicate a set of resources, the measurement of the set of resources is used to obtain a training dataset, and the second type of resource is used to store the measurement results of the set of resources identified or indicated by the given identifier or the training dataset.

[0544] As an example, the generation of given information corresponding to a given identifier includes: a reporting configuration indication given identifier for the given information, wherein the given identifier corresponding to the generation of the given information is the given identifier of the reporting configuration indication of the given information.

[0545] As a sub-implementation of the above embodiments, the given information is the information that is different from the first channel information.

[0546] As a sub-implementation of the above embodiments, the given information is the channel information that is different from the first channel information.

[0547] As an example, the generation of given information corresponding to a given identifier includes: the given information depends on the output of a first operation, the first operation corresponding to the given identifier.

[0548] As a sub-implementation of the above embodiments, the given information is the information that is different from the first channel information.

[0549] As a sub-implementation of the above embodiments, the given information is the channel information that is different from the first channel information.

[0550] As an example, the generation of given information corresponding to a given identifier includes: the generation of the given information using an AI model identified by the given identifier, or the given information being generated in an AI entity identified by the given identifier, or the given information being used for an AI function identified by the given identifier.

[0551] As a sub-implementation of the above embodiments, the given information is the information that is different from the first channel information.

[0552] As a sub-implementation of the above embodiments, the given information is the channel information that is different from the first channel information.

[0553] As an example, the advantages of using the above method include: minimizing the occupation of resource groups and improving resource utilization.

[0554] As an example, the advantages of using the above method include energy savings.

[0555] As an example, the advantages of the above method include: improved processing speed.

[0556] As an example, the advantages of the above method include: reduced processing latency.

[0557] Examples 9A-9B

[0558] Examples 9A-9B illustrate schematic diagrams of J resource groups according to an embodiment of this application, as shown in Figures 9A-9B respectively. In Figures 9A-9B, resource group #1, ..., resource group #J represent the J resource groups.

[0559] In Example 9A, any one of the J resource groups includes at least one first type of resource, where J is a positive integer greater than 1.

[0560] As an example, any one of the J resource groups is used for at least one of the processing, computation, or inference.

[0561] As an example, any one of the J resource groups includes a processing unit, and the processing unit includes one or more first-class resources.

[0562] As an example, any one of the J resource groups is a processing unit, and the processing unit includes one or more first-class resources.

[0563] As an example, any one of the J resource groups is used for at least one of processing, computing, or inference, wherein the first type of resource is a processing unit, and any one of the J resource groups includes one or more first type resources.

[0564] As an example, any one of the J resource groups is a processing unit group, and the processing unit group includes one or more processing units; the first type of resource is the processing unit.

[0565] Regarding the processing unit described in the above embodiments, some typical but non-limiting implementations are described below:

[0566] As one embodiment, the processing unit is used to calculate or generate channel information.

[0567] As one embodiment, the processing unit is used to process channel information.

[0568] As an example, the processing unit is a CSI processing unit.

[0569] As one embodiment, the processing unit is an AI processing unit (APU).

[0570] As one embodiment, the processing unit is a central processing unit (CPU).

[0571] As an example, the processing unit is a GPU (graphics processing unit).

[0572] As one embodiment, the processing unit is a general-purpose processing unit.

[0573] As one embodiment, the processing unit is a general-purpose computing on graphics processing unit (GPGPU).

[0574] In Example 9B, any one of the J resource groups includes at least one first-class resource and at least one second-class resource, where J is a positive integer greater than 1.

[0575] As one embodiment, the second type of resources is used for storage; the first type of resources is used for at least one of processing, computation, or inference.

[0576] As an example, any one of the J resource groups is a set of at least one first-class resource and at least one second-class resource.

[0577] As an example, any one of the J resource groups is the union of a set of at least one first-class resource and at least one second-class resource.

[0578] As an example, any one of the J resource groups includes a processing unit, and the processing unit includes at least one first type of resource and at least one second type of resource.

[0579] As an example, any one of the J resource groups includes at least one processing unit, and the processing unit includes at least one first type of resource and at least one second type of resource.

[0580] Regarding the processing unit described in the above embodiments, some typical but non-limiting implementations are described below:

[0581] As one embodiment, the processing unit is used to calculate or generate channel information.

[0582] As one embodiment, the processing unit is used to process channel information.

[0583] As an example, the processing unit is a CSI processing unit.

[0584] As one embodiment, the processing unit is an AI processing unit (APU).

[0585] As one embodiment, the processing unit is a central processing unit (CPU).

[0586] As an example, the processing unit is a GPU (graphics processing unit).

[0587] As one embodiment, the processing unit is a general-purpose processing unit.

[0588] As one embodiment, the processing unit is a general-purpose computing on graphics processing unit (GPGPU).

[0589] Examples 10A-10B

[0590] Examples 10A-10B illustrate schematic diagrams of a first type of resource and a second type of resource according to an embodiment of this application, as shown in Figures 10A-10B respectively.

[0591] In Example 10A, the first type of resources is used for at least one of processing, computing, or reasoning; the second type of resources is used for storage.

[0592] As one embodiment, the second type of resources is used for storage, and the first type of resources is used for processing.

[0593] As one example, the second type of resources is used for storage, and the first type of resources is used for computing.

[0594] As one example, the second type of resources is used for storage, and the first type of resources is used for inference.

[0595] In one embodiment, the second type of resource is used for storage, and the first type of resource is a processing unit.

[0596] As an example, the second type of resource is used for storage.

[0597] As one embodiment, the second type of resource includes storage units or storage space.

[0598] As one example, the second type of resource includes storage resources.

[0599] As one example, the second type of resource includes memory.

[0600] As one embodiment, the second type of resources is used to store some or all of the parameters used in the generation of the first channel information.

[0601] As an example, the second type of resource is used to store some or all of the parameters of the AI ​​model.

[0602] As an example, the second type of resource is used to store at least one of some or all of the parameters of the AI ​​model, some or all of the intermediate inference results, or some or all of the inference outputs.

[0603] As an example, the second type of resource is used to store one or more of the following: convolution kernel size, number of convolutional layers, convolution stride, pooling kernel size, pooling kernel stride, pooling function, activation function, or number of feature maps.

[0604] As an example, the second type of resource is used to store one or more of the following: convolution kernel, pooling kernel, pooling function, activation function, parameters of pooling function, or parameters of activation function.

[0605] As an example, the second type of resources is used to store some or all of the parameters in the target first type of parameter group in Embodiment 16 of this application.

[0606] As an example, a second type of resource being occupied includes a second type of resource not being idle.

[0607] As an example, an unoccupied second type of resource includes a second type of resource being idle.

[0608] As an example, the occupation of a second type of resource includes the use of a second type of resource for storage.

[0609] As an example, a second type of resource not being occupied includes a second type of resource not being used for storage.

[0610] As an example, a second type of resource being occupied includes: a second type of resource being used to store at least one of some or all of the parameters of the AI ​​model, some or all of the intermediate inference results, or some or all of the inference outputs.

[0611] As an example, the first type of resources is used for computation.

[0612] As an example, the first type of resources is used for inference.

[0613] As an example, the first type of resources is used for at least addition and multiplication operations.

[0614] As an example, the first type of resources is used for at least convolution operations.

[0615] As one embodiment, the first type of resource is a processing unit.

[0616] As an example, the first type of resource includes computing power resources.

[0617] As an example, the first type of resources is used to calculate or generate the first channel information.

[0618] As an example, a first-class resource being occupied includes a first-class resource not being idle.

[0619] As an example, an unoccupied first-class resource includes a first-class resource being idle.

[0620] As an example, the occupation of a first-class resource includes: the first-class resource has been used for at least one of computation or inference.

[0621] As an example, an unoccupied first-class resource includes: a first-class resource not being used in at least one of computation or inference.

[0622] In Example 10B, a processing unit includes at least one first type of resource and at least one second type of resource.

[0623] As one embodiment, a processing unit includes at least one second type of resource and at least one first type of resource; the second type of resource is used for storage; and the first type of resource is used for at least one of processing, computation, or inference.

[0624] As one embodiment, a processing unit includes at least one second type of resource and at least one first type of resource, wherein the generation of the first channel information occupies M1 first type of resources and M2 second type of resources in the same processing unit.

[0625] Regarding the processing unit described in the above embodiments, some typical but non-limiting implementations are described below:

[0626] As one embodiment, the processing unit is used to calculate or generate channel information.

[0627] As one embodiment, the processing unit is used to process channel information.

[0628] As an example, the processing unit is a CSI processing unit.

[0629] As one embodiment, the processing unit is an AI processing unit (APU).

[0630] As one embodiment, the processing unit is a central processing unit (CPU).

[0631] As an example, the processing unit is a GPU (graphics processing unit).

[0632] As one embodiment, the processing unit is a general-purpose processing unit.

[0633] As one embodiment, the processing unit is a general-purpose computing on graphics processing unit (GPGPU).

[0634] Examples 11A-11C

[0635] Examples 11A-11C illustrate schematic diagrams of the generation of a first channel information corresponding to a first identifier according to an embodiment of this application, as shown in Figures 11A-11C.

[0636] In embodiment 11A, the generation of the first channel information corresponds to the first identifier, which includes: the reporting configuration indication first identifier of the first channel information. The first identifier corresponding to the generation of the first channel information is the first identifier of the reporting configuration indication of the first channel information.

[0637] As an example, the advantages of the above method include: simplified design, and the ability to flexibly configure the corresponding first identifier for the first channel information.

[0638] In embodiment 11B, the generation of the first channel information corresponding to the first identifier includes: the sender of the first node or the reference information block performing a first operation, the first channel information depending on the output of the first operation, and the first operation corresponding to the first identifier.

[0639] As an example, the first operation is based on training or AI.

[0640] As an example, the first operation includes inference.

[0641] As one example, the first operation includes an AI entity.

[0642] As an example, the first operation includes an AI entity for inference.

[0643] As an example, the first operation includes a portion of an AI entity.

[0644] As an example, the first operation includes a portion of an AI entity used for inference.

[0645] As one embodiment, the first operation includes reasoning for obtaining the first channel information.

[0646] As an example, the reasoning includes AI (Artificial Intelligence) inference.

[0647] As an example, the first operation includes AI inference for obtaining CSI.

[0648] As one example, the first operation includes AI inference for obtaining channel information.

[0649] As one example, the first operation includes AI inference for obtaining information other than channel information.

[0650] As an example, the first operation is used for an AI function.

[0651] As an example, the first operation is performed by the physical layer of the first node.

[0652] As an example, the first operation is performed at a higher level than the first node.

[0653] As an example, the model for the first operation is obtained through training.

[0654] As an example, the training for the first operation is performed by the first node.

[0655] As an example, the training of the first operation is performed by the sender of the first information set.

[0656] As an example, the training for the first operation is performed by the core network.

[0657] As an example, the training of the first operation is performed by an AI training producer.

[0658] As an example, the training of the first operation is performed by the MDA (Management Data Analytics Function).

[0659] As an example, the training of the first operation is performed by the MDA function located at the first node.

[0660] As an example, the training of the first operation is performed by the MDA function of the sender located in the first information set.

[0661] As an example, the training of the first operation is performed by NWDAF (Network Data Analytics Function).

[0662] As an example, the training of the first operation is performed by the MDAS (Management Data Analytics Service) producer.

[0663] As an example, the training of the first operation is performed by the MnS (Management Service) producer.

[0664] As an example, the first operation requires deployment.

[0665] As an example, the first operation is obtained by loading.

[0666] As an example, the first operation is obtained from the serving cell of the first node.

[0667] As an example, the first operation is obtained from the sustaining base station of the serving cell of the first node.

[0668] As an example, the first node deploys the first operation.

[0669] As an example, the first operation does not require deployment.

[0670] As an example, the first operation is obtained from the core network.

[0671] As an example, the first operation is based on artificial intelligence or machine learning.

[0672] As an example, the first operation is based on a neural network.

[0673] As an example, the first operation is based on CNN (Conventional Neural Networks).

[0674] As one example, the first operation includes preprocessing.

[0675] As one example, the first operation includes post-processing.

[0676] As one example, the post-processing includes DFT.

[0677] As one example, the post-processing includes quantization.

[0678] As an example, the post-processing includes one or more of the following: angular domain to spatial domain transformation, spatial domain to angular domain transformation, time domain to frequency domain transformation, and frequency domain to time domain transformation.

[0679] As one example, the post-processing includes truncation and / or padding.

[0680] As an example, the first operation includes one or more of convolution, pooling, cascading, and activation.

[0681] As one embodiment, the first operation includes a fully connected layer.

[0682] As an example, the first operation includes a pooling layer.

[0683] As one embodiment, the first operation includes at least one convolutional layer.

[0684] As an example, the first operation includes at least one encoding layer.

[0685] As an example, an encoding layer includes at least one convolutional layer and one pooling layer.

[0686] As an example, in a convolutional layer, at least one convolutional kernel is used to convolve the input to generate a corresponding feature map, and at least one feature map output by the convolutional layer is reshaped into a vector and input to a fully connected layer; the fully connected layer transforms the vector into an output.

[0687] As an example, some or all of the following parameters in the first operation—convolution kernel size, number of convolutional layers, convolution stride, pooling kernel size, pooling kernel stride, pooling function, activation function, and number of feature maps—are obtained through training.

[0688] As an example, some or all of the convolution kernel, pooling kernel, pooling function, activation function, parameters of the pooling function, and parameters of the activation function in the first operation are obtained through training.

[0689] As an example, the output of the first operation includes channel information.

[0690] As an example, the output of the first operation includes information other than channel information.

[0691] As an example, the output of the first operation includes a channel matrix.

[0692] As an example, the output of the first operation includes CSI.

[0693] As an example, the output of the first operation includes compressed CSI.

[0694] As an example, the output of the first operation includes non-codebook-based CSI.

[0695] As an example, the output of the first operation includes a channel impulse response.

[0696] As an example, the output of the first operation includes small-scale characteristics.

[0697] As an example, the output of the first operation is used to determine one or more precoding matrices.

[0698] As an example, the first operation includes CSI compression based on artificial intelligence or machine learning.

[0699] As an example, the first operation includes an encoder for CSI compression based on artificial intelligence or machine learning.

[0700] As an example, the first operation includes CSI prediction or CSI estimation based on artificial intelligence or machine learning.

[0701] As one example, the first operation includes beam management based on artificial intelligence or machine learning.

[0702] As one embodiment, the beam management includes at least one of beam prediction, beam switching, beam failure prediction, or beam failure recovery.

[0703] As an example, the input to the first operation includes measurements obtained based on at least one RS resource.

[0704] As an example, the input to the first operation includes channel measurements obtained based on CSI-RS resources or SS / PBCH block resources.

[0705] As an example, the input to the first operation includes interference measurements obtained based on CSI-RS resources or CSI-IM resources.

[0706] As an example, the input to the first operation includes the reception quality of at least one physical channel or physical signal.

[0707] As an example, the input to the first operation includes a matrix or vector obtained by preprocessing the channel matrix obtained from measurements based on at least one RS resource.

[0708] As one example, the AI ​​function includes AI inference functionality.

[0709] As one example, the AI ​​functionality includes AI training functionality.

[0710] As one example, the AI ​​functionality includes AI management functionality.

[0711] As one example, the AI ​​function includes AI performance monitoring.

[0712] As one example, the AI ​​includes ML (Machine Learning).

[0713] As an example, the AI ​​includes AI and ML.

[0714] As one example, the AI ​​includes AI or ML.

[0715] As an example, the preprocessing includes one or more of the following: quantization, DFT (Discrete Fourier Transform), matrix decomposition, matrix transformation or projection, spatial-to-angular-domain transformation, angular-to-spatial-domain transformation, frequency-to-time-domain transformation, time-to-frequency-domain transformation, truncation, padding, mapping, or labeling.

[0716] As an example, the preprocessing includes DFT (Discrete Fourier Transform).

[0717] As one example, the preprocessing includes one or more of matrix decomposition, matrix transformation, or projection.

[0718] As an example, the preprocessing includes one or more of the following: quantization, spatial-to-angular-domain transformation, angular-to-spatial-domain transformation, frequency-to-time-domain transformation, or time-to-frequency-domain transformation.

[0719] As one example, the preprocessing includes truncation and / or padding.

[0720] As one example, the preprocessing includes mapping.

[0721] As one example, the preprocessing includes mapping to vectors.

[0722] As one example, the preprocessing includes labeling.

[0723] As an example, the label refers to a mark made with a label.

[0724] As one example, the post-processing includes DFT.

[0725] As one example, the post-processing includes quantization.

[0726] As an example, the post-processing includes one or more of the following: angular domain to spatial domain transformation, spatial domain to angular domain transformation, time domain to frequency domain transformation, and frequency domain to time domain transformation.

[0727] As one example, the post-processing includes truncation and / or padding.

[0728] As an example, an encoding layer includes at least one convolutional layer and one pooling layer.

[0729] As an example, in a convolutional layer, at least one convolutional kernel is used to convolve the input to generate a corresponding feature map, and at least one feature map output by the convolutional layer is reshaped into a vector and input to a fully connected layer; the fully connected layer transforms the vector into an output.

[0730] As one embodiment, the first operation corresponding to the first identifier includes: the first operation being identified by the first identifier.

[0731] As an example, the first operation corresponding to the first identifier includes: the AI ​​model used in the first operation is identified by the first identifier.

[0732] As one embodiment, the first operation corresponding to the first identifier includes: the AI ​​entity included in the first operation is identified by the first identifier.

[0733] As one embodiment, the first operation corresponding to the first identifier includes: the AI ​​function to which the first operation is used is identified by the first identifier.

[0734] As an example, the advantages of the above method include that identifying an AI entity or function through the first identifier simplifies the design and unifies the understanding of different AI entities or functions across multiple nodes.

[0735] As one embodiment, the first operation corresponding to the first identifier includes: the AI ​​entity performing the first operation is identified by the first identifier.

[0736] As one embodiment, the first operation corresponding to the first identifier includes: the first identifier is used by the first node to determine the AI ​​model adopted by the first operation.

[0737] As an example, the advantages of the above method include that identifying an AI model / entity / function through the first identifier simplifies the design and unifies the understanding of different AI entities / functions across multiple nodes.

[0738] As one embodiment, the first operation corresponding to the first identifier includes: the first identifier is used to identify or indicate a set of RS resources, and the measurement of the set of RS resources is used to obtain a training dataset for the first operation.

[0739] As one embodiment, the first operation corresponding to the first identifier includes: obtaining the training for the first operation identified by the first identifier.

[0740] As one embodiment, the first operation corresponding to the first identifier includes: the dataset used for training the first operation is identified by the first identifier.

[0741] As an example, the benefits of the above method include establishing consensus among different AI functions by identifying an AI training or AI training dataset to recognize the inferences generated by that AI training or AI training dataset, further simplifying the design.

[0742] As one embodiment, the first operation corresponding to the first identifier includes: 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 identifier.

[0743] As an example, the advantages of the above method include reduced RS overhead and reduced feedback latency.

[0744] As one embodiment, the first operation corresponding to the first identifier includes: the first operation performs channel information prediction for a second resource set based on the measurement of a first resource set, the second resource set depending on the first identifier.

[0745] As one embodiment, the first operation corresponding to the first identifier includes: the first operation performs temporal beam prediction for a second resource set based on historical measurements of a first resource set, the second resource set depending on the first identifier.

[0746] As an example, the advantages of the above method include reducing beam feedback delay and improving the real-time performance of beam acquisition.

[0747] As one embodiment, the first operation corresponding to the first identifier includes: the first operation performs temporal channel information prediction for a second resource set based on historical measurements of a first resource set, the second resource set depending on the first identifier.

[0748] As an example, the advantages of the above method include reducing channel information feedback delay and improving the real-time performance of channel information acquisition.

[0749] As an example, the output of the first operation is used to generate the first channel information.

[0750] As an example, the first channel information includes the output of the first operation.

[0751] As one embodiment, the first channel information includes the post-processed output of the first operation.

[0752] As one embodiment, the first channel information includes the truncated and / or quantized output of the first operation.

[0753] As an example, the output of the first operation, after post-processing, is used to generate the first channel information.

[0754] As an example, the output of the first operation, after being truncated and / or quantized, is used to generate the first channel information.

[0755] As an example, some or all of the output of the first operation is post-processed and used to generate the first channel information.

[0756] As an example, some or all of the output of the first operation, after being truncated and / or quantized, is used to generate the first channel information.

[0757] As an example, the output of the first operation includes a first CSI, which is used to generate the first channel information.

[0758] As an example, the advantages of the above method include improved CSI reporting performance by leveraging the advantages of the first operation, including more accurate reporting and / or lower overhead.

[0759] As one embodiment, the first channel information includes the first CSI.

[0760] As an example, the first CSI is post-processed and used to generate the first channel information.

[0761] As one embodiment, the first channel information includes the first CSI after post-processing.

[0762] As an example, the first channel information carries the first CSI after post-processing.

[0763] As an example, the first CSI is truncated and / or quantized and used to generate the first channel information.

[0764] As one embodiment, the first channel information includes the first CSI after truncation and / or quantization.

[0765] As one embodiment, the first channel information carries the first CSI after truncation and / or quantization.

[0766] As an example, the first CSI includes one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, Capability Index, and TDCP.

[0767] As an example, the first CSI includes one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, TDCP, predicted channel information, predicted beam information, or confidence information.

[0768] As one embodiment, the first CSI includes a channel matrix.

[0769] As one example, the first CSI includes a feature vector.

[0770] As an example, the first CSI includes a feature vector and feature values.

[0771] As an example, the first CSI includes precoded information.

[0772] As one embodiment, the first CSI includes pre-encoded information based on a non-codebook.

[0773] As an example, the first CSI is used to determine at least one precoding matrix.

[0774] As an example, the first CSI indicates at least one precoding matrix.

[0775] As an example, the precoding matrix is ​​in the spatial-frequency domain.

[0776] As an example, the precoding matrix is ​​an angular-delay domain projection.

[0777] As one embodiment, the first CSI includes information on the relative phase, amplitude, and / or coefficients between multiple antenna ports.

[0778] As an example, the first CSI includes a compressed CSI.

[0779] As an example, the first CSI includes predicted / estimated CSI.

[0780] As one example, how the first channel information is generated based on the first operation is determined by the manufacturer of the first node, or is implementation-related. A typical but non-limiting implementation is described below:

[0781] The first node first measures the RS resources used for channel measurement to obtain the channel parameter matrix H. r×t Where r and t are the number of receiving antennas and the number of antenna ports, respectively; at least the channel parameter matrix H r×t Alternatively, its feature vector is input into an AI model, and the output of the AI ​​model is used to obtain the first channel information.

[0782] If the first channel information requires the first node to estimate interference (including noise), the first node can measure the RS resources used for interference measurement to obtain the measured interference.

[0783] In one implementation, measurement interference is also input into the AI ​​model.

[0784] In another implementation, the measurement interference is not input into the AI ​​model; the output of the AI ​​model and the measurement interference are used together to generate the first channel information.

[0785] 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.

[0786] In embodiment 11C, the generation of the first channel information corresponding to the first identifier includes: the generation of the first channel information using an AI model identified by the first identifier, or the first channel information being generated in an AI entity identified by the first identifier, or the first channel information being used for an AI function identified by the first identifier.

[0787] As an example, the generation of the first channel information uses an AI model identified by the first identifier.

[0788] As an example, the first channel information is generated in the AI ​​entity identified by the first identifier.

[0789] As an example, the first channel information is used for the AI ​​function identified by the first identifier.

[0790] Examples 12A-12C

[0791] Examples 12A-12C illustrate schematic diagrams of first channel information according to an embodiment of this application, as shown in Figures 12A-12C respectively.

[0792] In Example 12A, the generation of the first channel information is based on training or AI.

[0793] As an example, the advantages of the above method include: better adaptability to various application scenarios or terminals, and good flexibility and adaptability.

[0794] As an example, the advantages of the above method include improved accuracy and real-time performance of channel information reporting.

[0795] As one embodiment, the generation of the first channel information based on AI includes: the generation of the first channel information based on training.

[0796] As one embodiment, the generation of the first channel information based on training or AI includes: the generation of the first channel information using an AI model.

[0797] As one embodiment, the generation of the first channel information based on training or AI includes: the generation of the first channel information uses information generated based on artificial intelligence or machine learning.

[0798] As one embodiment, the generation of the first channel information based on training or AI includes: the generation of the first channel information uses information generated based on a neural network.

[0799] As one embodiment, the generation of the first channel information based on training or AI includes: the generation of the first channel information uses information generated based on CNN (Conventional Neural Networks).

[0800] As one embodiment, the generation of the first channel information based on training or AI includes: the first channel information includes information generated based on artificial intelligence or machine learning.

[0801] As one embodiment, the generation of the first channel information based on training or AI includes: the first channel information includes information generated based on a neural network.

[0802] As one embodiment, the generation of the first channel information based on training or AI includes: the first channel information includes information generated based on CNN (Conventional Neural Networks).

[0803] As one embodiment, the generation of the first channel information based on training or AI includes: a first identifier indicating the reporting configuration of the first channel information.

[0804] As one embodiment, the generation of the first channel information is based on training or AI and includes: the reporting configuration of the first channel information instructing a first resource set, the first resource set including at least one RS resource for measuring the first channel information; the generation of the first channel information includes the sender of the first node or the reference information block performing a first operation, the input of the first operation depending on the measurement based on the first resource set, and the first channel information depending on the output of the first operation.

[0805] As one embodiment, the generation of the first channel information is based on training or AI and includes: the reporting configuration of the first channel information indicating a first identifier, and the generation of the first channel information includes performing a first operation, the first operation corresponding to the first identifier indicated by the reporting configuration of the first channel information report.

[0806] As one embodiment, the generation of the first channel information based on training or AI includes: the generation of the first channel information corresponds to a first identifier.

[0807] As an example, the AI ​​training function in the RAN (Radio Access Network) domain is located in the RAN domain-specific management function, while the AI ​​inference function is located in the UE.

[0808] As an example, RAN domain-specific management functions provide AI training function management capabilities and AI inference function management capabilities.

[0809] As an example, the AI ​​training function is located in the RAN domain-specific management function, while the AI ​​inference function is located locally in the gNB.

[0810] As an example, the management capability of AI training is provided by RAN domain-specific management functions, while the management capability of AI inference is provided locally by the gNB.

[0811] As an example, MnF refers to Management Function.

[0812] As an example, both the AI ​​training function and the AI ​​inference function are located in the UE, wherein the UE provides the ability to train and infer.

[0813] As an example, RAN domain-specific management functions provide management capabilities for AI training and AI inference functions.

[0814] As an example, both the AI ​​training function and the AI ​​inference function are located in the gNB.

[0815] As an example, the management capabilities for both AI training and AI inference are provided locally by gNB.

[0816] In embodiment 12B, 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. In Figure 12B, the first resource set includes resources #1, ..., resource #J1; the second resource set includes resources #1, ..., resource #J2.

[0817] As one embodiment, the first channel information includes a resource indication, which is used to indicate at least one resource in the second resource set.

[0818] As an example, the first channel information includes at least one of resource indication or RSRP (reference signal received power); the resource indication is used to indicate at least one resource in the second resource set.

[0819] As one embodiment, 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 sender of the first node or the reference information block performs a first operation, the input of the first operation depending on the measurement based on the first resource set, and the first channel information depending on the output of the first operation.

[0820] As an example, the first operation performs spatial beam prediction for a second resource set based on measurements of the first resource set.

[0821] As an example, the first operation performs spatial beam prediction for a second resource set based on measurements of a first resource set, the second resource set including resources that do not belong to the first resource set.

[0822] As an example, the advantages of the above method include reduced RS overhead and reduced feedback latency.

[0823] As an example, the first operation performs channel information prediction for a second resource set based on measurements of the first resource set.

[0824] As an example, the channel information in this application includes beam information.

[0825] As an example, the first operation performs temporal beam prediction for the second resource set based on historical measurements of the first resource set.

[0826] As an example, the advantages of the above method include reducing beam feedback delay and improving the real-time performance of beam acquisition.

[0827] As an example, the first operation performs temporal channel information prediction for the second resource set based on historical measurements of the first resource set.

[0828] As an example, the advantages of the above method include reducing channel information feedback delay and improving the real-time performance of channel information acquisition.

[0829] As an example, the input to the first operation also includes the second resource set.

[0830] As an example, the input to the first operation may also include some or all of the resources in the second resource set.

[0831] As one embodiment, the measurement based on the first resource set includes uncompressed channel information, and the output of the first operation includes compressed channel information.

[0832] As an example, the advantages of the above method include its applicability to channel compression and the saving of feedback overhead.

[0833] As one embodiment, the measurement based on the first resource set includes measured channel information, and the output of the first operation includes predicted channel information.

[0834] As one embodiment, the measurement based on the first resource set includes channel information obtained from the measurement, and the output of the first operation includes spatial beam prediction.

[0835] As one embodiment, the measurement based on the first resource set includes channel information obtained from the measurement, and the output of the first operation includes spatial beam prediction for the second resource set.

[0836] As one embodiment, the resources in the second resource set include at least one of antenna ports, time-frequency resources, time-frequency code resources, beams, RS resources, vectors, or matrices.

[0837] As an example, the advantages of the above method include reduced RS overhead and reduced feedback latency.

[0838] As an example, the channel information in this application includes beam information.

[0839] As one embodiment, the measurement based on the first resource set includes current channel information, and the output of the first operation includes predicted channel information.

[0840] As an example, the measurement based on the first resource set includes historical channel information, and the output of the first operation includes predicted channel information.

[0841] As one embodiment, the measurement based on the first resource set includes historical channel information, and the output of the first operation includes temporal beam prediction.

[0842] As one embodiment, the measurement based on the first resource set includes historical channel information, and the output of the first operation includes temporal beam prediction for the second resource set.

[0843] As an example, the advantages of the above method include reducing channel information feedback delay and improving the real-time performance of channel information acquisition.

[0844] As one embodiment, the measurement based on the first resource set includes current channel information, and the output of the first operation includes channel information after a period of time.

[0845] As one example, the measurement based on the first resource set includes current channel information, and the output of the first operation includes future channel information.

[0846] As one embodiment, the measurement based on the first resource set includes historical channel information, and the output of the first operation includes future channel information.

[0847] As an example, the advantages of the above method include improved CSI accuracy and real-time performance, and reduced RS overhead.

[0848] As one embodiment, the measurement based on the first resource set includes incomplete channel information, while the output of the first operation includes complete channel information.

[0849] As an example, the advantages of the above method include reduced RS overhead and improved accuracy and completeness of CSI.

[0850] As an example, the measurement based on the first resource set includes channel information of P1 antenna ports, and the output of the first operation includes channel information of P2 antenna ports, where P1 and P2 are positive integers greater than 1, and P1 is less than P2.

[0851] As a sub-implementation of the above embodiment, the P1 antenna ports are a proper subset of the P2 antenna ports.

[0852] As a sub-implementation of the above embodiment, the P2 antenna ports belong to the second resource set.

[0853] As an example, the measurement based on the first resource set includes channel information of the first frequency domain resources, and the output of the first operation includes channel information of the second frequency domain resources, which include frequency domain resources that do not belong to the first frequency domain resources.

[0854] As a sub-implementation of the above embodiments, the first frequency domain resource is a proper subset of the second frequency domain resource.

[0855] As one example, how the first channel information is generated is determined by the manufacturer of the first node, or is implementation-related. Some typical but non-limiting implementations are described below:

[0856] In one implementation, the first channel information includes L1-RSRP or L1-SINR; the first node obtains L1-RSRP or L1-SINR based on measurements of at least one RS resource in the first resource set. Generally, the filtering algorithm for L1-RSRP or L1-SINR is determined by the manufacturer of the first node, or is implementation-dependent, and can be implemented by an algorithm or by hardware.

[0857] In another implementation, the first node performs channel measurements on at least one RS resource in the first resource set to obtain a channel parameter matrix H. r×P For the channel parameter matrix H r×P Power adjustment is performed, and the adjusted channel parameter matrix is ​​as follows: Where Q is the ratio of the assumed PDSCH EPRE to the NZP CSI-RS EPRE. When using the precoding matrix W... P×l Under these conditions, the precoded channel parameter matrix is: Where l is the rank or the number of layers. In one case, l is a positive integer not greater than P; in another case, the precoding matrix is ​​an identity matrix, in which case P = l. H is calculated using criteria such as SINR (Signal Interference Noise Ratio), EESM (Exponential Effective SINR Mapping), or RBIR (Received Block Mean Mutual Information Ratio). r×P ·W P×l The equivalent channel capacity is calculated, and then the first channel information is obtained from the equivalent channel capacity through methods such as table lookup. Generally, the calculation of the equivalent channel capacity requires the first node to estimate interference (including noise). The first resource set includes RS resources for channel measurement and RS resources for interference measurement. The first node can obtain the interference by measuring at least one RS resource in the first resource set in this application. Generally, the mapping from equivalent channel capacity to CSI depends on receiver performance or hardware-related factors such as modulation scheme.

[0858] In another implementation, the first node first measures the RS resources in the first resource set to obtain the channel parameter matrix H. r×t Where r and t are the number of receiving antennas and the number of antenna ports, respectively; at least the channel parameter matrix H r×t Alternatively, its feature vector is input into the first operation in this application, and the output of the first operation is used to obtain the first channel information.

[0859] Without loss of generality, the parameters or AI model used in the first operation are determined by the manufacturer of the first node.

[0860] As one embodiment, the first resource set includes one or more RS (Reference Signal) resource sets, and an RS resource set includes one or more RS resources.

[0861] As one embodiment, the first resource set includes at least one of at least a 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.

[0862] As one embodiment, the first resource set includes at least one RS resource set for channel measurement, and an RS resource set for channel measurement includes one or more RS resources.

[0863] As one embodiment, the first resource set includes at least one RS resource set for channel measurement and at least one RS resource set for interference measurement; an RS resource set for channel measurement includes one or more RS resources, and an RS resource set for interference measurement includes one or more RS resources.

[0864] As one embodiment, the first resource set includes at least one RS resource set for interference measurement; an RS resource set for interference measurement includes one or more RS resources.

[0865] As an example, a set of RS resources for channel measurement includes one or more RS resources, wherein any RS resource in the set of RS resources for channel measurement is a CSI-RS resource or a synchronization signal resource.

[0866] As an example, a set of RS resources for interference measurement includes one or more RS resources.

[0867] As an example, an RS resource set for interference measurement includes one or more RS resources, wherein any RS resource in the RS resource set for interference measurement is a CSI-IM resource or an NZP (non-zero power) CSI-RS resource for interference measurement.

[0868] As an example, the first resource set includes at least one of CSI-RS (Channel State Information Reference Signal) resources or synchronization signal resources.

[0869] As one embodiment, the synchronization signal resources include at least the resources occupied by the synchronization signal.

[0870] As an example, the synchronization signal resource is an SSB (Synchronization Signal Block).

[0871] As an example, the synchronization signal resource is an SS / PBCH (synchronization signal / physical broadcast channel) block resource.

[0872] As one embodiment, the reporting configuration of the first channel information indicates at least one resource configuration, and the at least one resource configuration indicates a first resource set.

[0873] As an example, a resource configuration is used to configure CSI resources.

[0874] As an example, a resource configuration is an IE CSI-ResourceConfig.

[0875] As an example, a resource configuration includes an RRC IE.

[0876] As an example, a resource configuration includes IE CSI-ResourceConfig.

[0877] As one embodiment, the reporting configuration of the first channel information indicates the identifier of the first resource set.

[0878] As one embodiment, the second resource set is the first resource set.

[0879] As one embodiment, the second resource set includes resources that do not belong to the first resource set.

[0880] As one embodiment, 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 and RSRP in a second resource set, the second resource set including resources that do not belong to the first resource set.

[0881] As an example, the first node is not required to measure some or all of the resources in the second resource set.

[0882] As one example, the first resource set is used for measurement, and the second resource set is used for prediction.

[0883] As one example, the first resource set is used for measurement, and the second resource set is used for prediction.

[0884] As an example, only the first resource set is used for measurement, either the first resource set or the second resource set.

[0885] As one embodiment, using only the first resource set in the first resource set and the second resource set for measurement includes: using only the first resource set in the first resource set and the second resource set for measurement by the first node.

[0886] As one embodiment, the first resource set being used for measurement only in the first resource set and the second resource set includes: the first resource set being used for measurement by the first node, and the first node not being required to measure some or all of the resources in the second resource set.

[0887] As one embodiment, the first node not being required to measure the second resource set includes: the first node not measuring some or all of the resources in the second resource set.

[0888] As one embodiment, the first node not being required to measure the second resource set includes: whether the first node measures some or all of the resources in the second resource set is implementation-related or determined by the first node itself.

[0889] As one embodiment, the second resource set includes the first resource set and resources outside the first resource set.

[0890] As one embodiment, the first resource set includes one or more RS resources, the second resource set includes one or more RS resources, and the second resource set includes the first resource set and RS resources outside the first resource set.

[0891] As an example, the number of resources included in the first resource set is less than the number of resources included in the second resource set.

[0892] As an example, the number of RS resources included in the first resource set is less than the number of RS resources included in the second resource set.

[0893] As one embodiment, the second resource set includes resources that do not belong to the first resource set.

[0894] As one embodiment, the second resource set includes antenna ports that do not belong to the first resource set.

[0895] As one embodiment, the second resource set includes resources that do not belong to the first resource set, and the resources in the second resource set include at least one of antenna ports, TCI status, QCL information, time and frequency resources, time and frequency code resources, beams, RS resources, vectors, or matrices.

[0896] As one example, the second resource set includes at least one training dataset.

[0897] As an example, the second resource set is used to train an AI model.

[0898] As an example, the second resource set is used to train the first operation in this application.

[0899] As one embodiment, the second resource set includes one or more RS (Reference Signal) resource sets, and an RS resource set includes one or more RS resources.

[0900] As one embodiment, the reporting configuration of the first channel information indicates a first identifier, and the second resource set depends on the first identifier in the reporting configuration of the first channel information.

[0901] As one embodiment, the second resource set depends on the first identifier, which is used to identify the second resource set.

[0902] As one embodiment, the second resource set depends on the first identifier, which is used to identify a reference resource set, the reference resource set including the second resource set.

[0903] As one embodiment, the second resource set depends on the first identifier, which includes: the first identifier being used to identify a reference resource set, the reference resource set including the second resource set, and the first channel information reporting configuration being used to indicate the second resource set from the reference resource set.

[0904] As one embodiment, information other than the reporting configuration of the first channel information indicates the second resource set.

[0905] As one embodiment, information other than the first information set indicates the second resource set.

[0906] As one embodiment, the information indicating the reporting configuration of the first channel information of the second resource set includes higher-level parameters.

[0907] As one embodiment, the information indicating the reporting configuration of the first channel information of the second resource set, in addition to RRC parameters, includes RRC parameters.

[0908] As one embodiment, the information indicating the first channel information of the second resource set, in addition to the reporting configuration, includes part or all of an RRC IE field.

[0909] As an example, the information indicating the first channel information of the second resource set, in addition to the reporting configuration, includes MAC CE.

[0910] As an example, the information indicating the first channel information of the second resource set, in addition to the reporting configuration, includes DCI (downlink control information).

[0911] In embodiment 12C, the output of the first operation includes a first CSI, the first channel information carries the first CSI, and the first CSI is used as input to the second operation by the target receiver of the first channel information to generate a second CSI.

[0912] As an example, the advantages of the above method include improved CSI reporting performance by leveraging the advantages of the first operation, including more accurate reporting and / or lower overhead.

[0913] As an example, the first CSI is used to generate the first channel information.

[0914] As one embodiment, the first channel information includes the first CSI.

[0915] As an example, the first CSI includes a compressed CSI.

[0916] As one example, the first CSI includes compressed predicted channel information.

[0917] As an example, the first CSI is post-processed and used to generate the first channel information.

[0918] As one embodiment, the first channel information includes the first CSI after post-processing.

[0919] As an example, the first channel information carries the first CSI after post-processing.

[0920] As an example, the first CSI is truncated and / or quantized and used to generate the first channel information.

[0921] As one embodiment, the first channel information includes the first CSI after truncation and / or quantization.

[0922] As one embodiment, the first channel information carries the first CSI after truncation and / or quantization.

[0923] As one embodiment, the first CSI includes a channel matrix.

[0924] As one example, the first CSI includes a feature vector.

[0925] As an example, the first CSI includes a feature vector and feature values.

[0926] As an example, the first CSI includes precoded information.

[0927] As one embodiment, the first CSI includes pre-encoded information based on a non-codebook.

[0928] As an example, the first CSI is used to determine at least one precoding matrix.

[0929] As an example, the first CSI indicates at least one precoding matrix.

[0930] As an example, the precoding matrix is ​​in the spatial-frequency domain.

[0931] As an example, the precoding matrix is ​​an angular-delay domain projection.

[0932] As one embodiment, the first CSI includes information on the relative phase, amplitude, and / or coefficients between multiple antenna ports.

[0933] As an example, the first CSI includes a compressed CSI.

[0934] As an example, the first CSI includes predicted / estimated CSI.

[0935] As an example, the first operation is used for CSI compression, and the second operation is used for CSI recovery.

[0936] As one embodiment, the second CSI includes the recovery of at least a portion of the input of the first operation.

[0937] As one embodiment, the second CSI includes a channel matrix.

[0938] As one embodiment, the second CSI includes a feature vector and / or feature values.

[0939] As one embodiment, the second CSI includes a precoding matrix.

[0940] As one embodiment, the second CSI includes one or more of the following: channel matrix, eigenvector, eigenvalue, or precoding matrix.

[0941] As one embodiment, the target receiver of the first channel information is the sender of the reporting configuration of the first channel information.

[0942] As an example, the second operation is the inverse operation of the first operation.

[0943] As an example, the second operation is based on training.

[0944] As one example, the training for obtaining the second operation is performed by the target receiver of the first channel information.

[0945] As one example, the training for obtaining the second operation is performed by the MDA function.

[0946] As an example, the training for obtaining the second operation is performed by the MDAS producer.

[0947] As an example, the training for obtaining the second operation is performed by NWDAF.

[0948] As an example, the training for obtaining the second operation is performed by the core network.

[0949] As an example, the training for obtaining the second operation is performed by an AI (Artificial Intelligence) training producer.

[0950] As an example, the first operation and the second operation are obtained through different training.

[0951] As an example, the first operation and the second operation are obtained through independent training.

[0952] As an example, the advantages of the above method include: saving air interface overhead, having better flexibility, being adaptable to different terminals, and having better forward compatibility.

[0953] As an example, the first operation and the second operation are obtained through joint training.

[0954] As an example, the advantages of the above method include: optimized performance.

[0955] As an example, the training of the second operation depends on the first operation.

[0956] As an example, the producer of the second operation trains the second operation based on the output of the first operation.

[0957] As one example, the second operation includes inference.

[0958] As one example, the second operation includes AI inference.

[0959] As one example, the second operation includes AI inference for CSI.

[0960] As an example, the second operation is AI inference for CSI recovery.

[0961] As an example, the second operation is AI inference for CSI decompression.

[0962] As an example, the second operation is performed by the AI ​​entity deployed on the second node in this application.

[0963] As an example, the second operation is used for the AI ​​function of the second node in this application.

[0964] As an example, the second operation requires deployment.

[0965] As an example, the second operation is obtained by loading.

[0966] As an example, the second operation is obtained from the core network.

[0967] As an example, the second operation is obtained from the producer.

[0968] As an example, the second operation is obtained from the producer of the second operation.

[0969] As an example, the second operation is obtained from loading from the AL entity producer.

[0970] As an example, the second operation is obtained from the AL function producer.

[0971] As an example, the second operation is obtained from loading from the MnS producer.

[0972] As an example, the second operation is based on artificial intelligence or machine learning.

[0973] As an example, the second operation is based on a neural network.

[0974] As one example, the second operation includes a decoder for CSI compression based on a neural network.

[0975] As one example, the second operation includes a CNN-based CSI compression encoder.

[0976] As an example, the second operation is performed by the physical layer of the second node.

[0977] As one example, the second operation is performed at a higher level of the second node.

[0978] Examples 13A-13B

[0979] Examples 13A-13B illustrate schematic diagrams of the deployment of the first operation of the first node according to an embodiment of this application, as shown in Figures 13A-13B respectively.

[0980] In Example 13A, the first node requests the first producer to load the first operation and obtains the first operation from the first producer.

[0981] As one embodiment, the deployment includes obtaining the first operation.

[0982] As one example, the deployment includes obtaining an AI entity.

[0983] As one example, the deployment includes obtaining an AI entity that performs the first operation.

[0984] As one example, the deployment includes obtaining an AI entity that includes AI functions to perform the first operation.

[0985] As one example, the deployment includes loading the first operation.

[0986] As one example, the deployment includes submitting a request to load the first operation.

[0987] As an example, the first operation is obtained from the serving cell of the first node.

[0988] As an example, the first operation is obtained from the sustaining base station of the serving cell of the first node.

[0989] As an example, the first operation is obtained from the core network.

[0990] As an example, the first operation is obtained from loading from the first producer.

[0991] As an example, the deployment is accomplished by an AI function.

[0992] As an example, the deployment is accomplished by AI functionality deployed on the first node.

[0993] As an example, the deployment is accomplished by an AI deployment function.

[0994] As an example, the deployment is accomplished by the AI ​​deployment function deployed on the first node.

[0995] As an example, the deployment is accomplished using AI inference functionality.

[0996] As an example, the deployment is accomplished by an AI inference function deployed on the first node.

[0997] As an example, the deployment is performed by an AI entity.

[0998] As an example, the deployment is performed by an AI entity deployed on the first node.

[0999] As an example, the deployment is performed by an AI entity with a deployment function.

[1000] As an example, the deployment is performed by an AI entity with deployment capabilities deployed on the first node.

[1001] As an example, the deployment is accomplished by an AI entity with an inference function.

[1002] As an example, the deployment is performed by an AI entity with inference capabilities deployed on the first node.

[1003] As one embodiment, the deployment includes obtaining the first operation from a first producer.

[1004] As one embodiment, the deployment includes requesting a first producer to load the first operation.

[1005] As one embodiment, the deployment includes loading the first operation from the first producer.

[1006] As an example, the first producer generates and provides the AL entity.

[1007] As an example, the first producer generates and provides AL functionality.

[1008] As an example, the first producer is the producer of the first operation.

[1009] As an example, the first producer includes an AL entity producer.

[1010] As one example, the first producer includes an AL function producer.

[1011] As one example, the first producer includes an AL deployment producer.

[1012] As one example, the first producer includes an AL loading producer.

[1013] As one example, the first producer includes an AL-trained producer.

[1014] As an example, the first producer includes an AL inference producer.

[1015] As an example, the first producer includes the producer of the AL entity deployment.

[1016] As one example, the first producer includes the producer that loads the AL entity.

[1017] As an example, the first producer includes an MnS (Management Service) producer.

[1018] As an example, the sender of the first channel information reporting configuration is the first producer.

[1019] As an example, the sender of the first channel information reporting configuration is different from the first producer.

[1020] As an example, the training for obtaining the first operation is performed by the first producer.

[1021] As an example, the executor used to obtain the training for the first operation is different from the first producer.

[1022] As one example, the AI ​​includes ML (Machine Learning).

[1023] In Example 13B, the first node requests the second producer to load the first operation and obtains the first operation from the first producer.

[1024] As one embodiment, the deployment includes obtaining the first operation.

[1025] As one example, the deployment includes obtaining an AI entity or AI function to perform the first operation.

[1026] As one example, the deployment includes loading the first operation.

[1027] As one example, the deployment includes submitting a request to load the first operation.

[1028] As an example, the deployment is accomplished by AI functionality deployed on the first node.

[1029] As an example, the deployment is accomplished by the AI ​​deployment function deployed on the first node.

[1030] As an example, the deployment is performed by an AI entity with a deployment function.

[1031] As one example, the second producer generates and provides AI entities or AI functions.

[1032] As one example, the second producer includes an MnS (Management Service) producer.

[1033] As an example, the second producer includes the producer of the AI ​​model training.

[1034] As one example, the second producer is the sender of the first information set.

[1035] As one example, the second producer is different from the sender of the first information set.

[1036] As one example, the second producer is the serving cell of the first node.

[1037] As one example, the second producer is the maintenance base station of the serving cell of the first node.

[1038] As one example, the second producer is the core network.

[1039] As an example, the first operation is obtained from the serving cell of the first node.

[1040] As an example, the first operation is obtained from the sustaining base station of the serving cell of the first node.

[1041] As an example, the first operation is obtained from the core network.

[1042] As an example, the training for obtaining the first operation is performed by the second producer.

[1043] As an example, the second producer is different from the first producer.

[1044] As an example, the first producer generates and provides the AL entity.

[1045] As an example, the first producer generates and provides AL functionality.

[1046] As an example, the first producer is the producer of the first operation.

[1047] As an example, the first producer includes an AL entity producer.

[1048] As one example, the first producer includes an AL function producer.

[1049] As one example, the first producer includes an AL deployment producer.

[1050] As one example, the first producer includes an AL loading producer.

[1051] As one example, the first producer includes an AL-trained producer.

[1052] As an example, the first producer includes an AL inference producer.

[1053] As an example, the first producer includes the producer of the AL entity deployment.

[1054] As one example, the first producer includes the producer that loads the AL entity.

[1055] As an example, the first producer includes an MnS (Management Service) producer.

[1056] Example 14

[1057] Example 14 illustrates a schematic diagram of RAN (Radio Access Network) domain AI / ML function deployment according to one embodiment of this application; as shown in Figure 14. The gNB in ​​Example 14 can be replaced with, for example, an eNB, or a network device such as a 6G base station.

[1058] AI / ML related functions include ML training (also known as AI training, or AI / ML training), ML testing, and ML inference (also known as AI inference, or AI / ML inference), etc. ML training, ML testing, and ML inference functions can be deployed independently or co-located. Deployment of AI / ML related functions can be implemented through software, such as downloading and / or running executable files; or it can be implemented through a combination of software and hardware, such as accelerating specific computing units through hardware to improve computing speed or save power.

[1059] ML training functionality can be deployed in a cross-domain management system or a domain-specific management system; the domain-specific management system is used to manage the RAN domain or the CN (Core Network) domain. For example, ML training functionality for MDA (Management Data Analytics) can be deployed on MDAF (MDA Function); ML training for network data analytics can be deployed on NWDAF (Network Data Analytics Function), meaning the ML training functionality is an MTLF (Model Training Logical Function).

[1060] The ML inference function 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.

[1061] Similarly, ML testing capabilities can also be deployed in cross-domain management systems or domain-specific management systems.

[1062] In Example 14, the RAN domain ML training function 1402 is located in the RAN domain management function 1403; while the ML inference function is located in the base station, that is, the AI / ML inference function 1404 is located in gNB 1405, the AI / ML inference function 1406 is located in gNB 1407, and so on.

[1063] In Figure 14, the management of ML inference functions of multiple base stations is completed by RAN domain management function 1403, that is, data interaction with RAN domain MnS (Management Service) consumer / cross-domain management 1401 (as shown by the dashed arrow in Figure 14).

[1064] Optionally, the management of ML inference function can also be completed by the base station itself, that is, each base station can independently interact with the RAN domain MnS consumer / cross-domain management 1401.

[1065] It should be noted that Example 14 is merely a non-limiting implementation; optionally, the ML training function of the RAN domain may also be deployed at the base station; or optionally, some base stations may deploy both the ML inference function and the ML training function of the RAN domain, while some base stations may only deploy the ML inference function.

[1066] As an example, one of the gNBs (or base stations) in Example 14 is the second node of this application.

[1067] As an example, the first processor in this application includes an AL / ML inference function, namely 1404 or 1406, as shown in Figure 14.

[1068] Example 15

[1069] Example 15 illustrates a schematic diagram of the deployment of AI / ML functionality in a UE according to one embodiment of this application; as shown in Figure 15. The RAN domain ML training function 1505 in Figure 15 is optional.

[1070] UE function 1504 is deployed in the first node of this application, and the UE function 1504 includes AI / ML inference function 1506; the AI / ML inference function 1506 uses an ML model (also called an AI model) for inference; an ML model is typically trained before being used for AI / ML inference.

[1071] As an example, the first channel information in this application is obtained through inference by the AI / ML inference function 1506.

[1072] As an example, the first processor in this application includes an AL / ML inference function 1506 in Figure 15.

[1073] As an example, the UE function 1504 includes a RAN domain ML training function 1505, which runs training data through an ML model to obtain a relevant loss and adjusts the parameters of the ML model based on the calculated loss; the ML training includes at least one of ML initial training, ML re-training, and reinforcement learning.

[1074] The above embodiments can reduce the complexity of the base station, or save air interface resources caused by reporting training data; however, the above embodiments place high demands on the processing capabilities of the UE side.

[1075] Optionally, the UE function 1504 also includes a CN domain ML training function (not shown in Figure 15).

[1076] Optionally, the UE function 1504 also includes an AI / ML deployment function—not shown in Figure 15—for loading ML models and data.

[1077] As an example, the first node indicates whether it supports ML training function (RAN domain or CN domain) through capability reporting. The capability reporting is RRC signaling or NAS (Non-Access Stratum) signaling.

[1078] As an example, the ML model and the associated metadata are loaded by the first node from a network device or a remote server.

[1079] 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 double arrow 1507).

[1080] 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 managing data requests, ML model activation, and / or ML training (as shown by double arrow 1507).

[1081] As an example, the ML model is based on a neural network.

[1082] As an example, the ML model is based on CNN (Conventional Neural Networks).

[1083] As an example, the ML model is based on the Transformer architecture.

[1084] Example 16

[1085] Example 16 illustrates a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of this application; as shown in Figure 16. Figure 16(a) includes a third processor, a fourth processor, and a fifth processor, and Figure 16(b) includes a third processor, a fourth processor, a fifth processor, and a sixth processor.

[1086] In Example 16(a), the third processor sends a first dataset to the fourth processor and a second dataset to the fifth processor; the fourth processor generates a target first-type parameter set based on the first dataset, and sends the generated target first-type parameter set to the fifth processor; the fifth processor processes the second dataset using the target first-type parameter set to obtain a first-type output. In Figure 16(a), the first-type feedback is optional.

[1087] In Example 16(b), the third processor sends a first dataset to the fourth processor and a second dataset to the fifth processor; the fourth processor generates a target first-type parameter set based on the first dataset, and sends the generated target first-type parameter set to the fifth processor; the fifth processor processes the second dataset using the target first-type parameter set to obtain a first-type output, and sends the first-type output to the sixth processor. In Figure 16(b), the first-type feedback and the second-type feedback are optional.

[1088] As an example, in Figure 16(a), the fifth processor sends the first type of output to the second node in this application.

[1089] As an example, Figure 16(a) employs a single-side AI model, in which the fifth processor performs the first operation of this application.

[1090] As an example, Figure 16(b) employs a two-sided AI model, in which the fifth processor performs the first operation of this application, and the sixth processor performs the second operation of this application.

[1091] As an example, the AI ​​includes machine learning (ML) inference.

[1092] As an example, the fifth processor performs the first operation in this application.

[1093] As one embodiment, the sixth processor includes the second operation described in this application.

[1094] As an example, the fifth processor sends a first type of feedback to the fourth processor, and the first type of feedback is used to trigger a recalculation or update of the target first type of parameter group.

[1095] As one embodiment, the sixth processor sends a second type of feedback to the third processor, the second type of feedback being used to generate the first dataset or the second dataset, or the second type of feedback being used to trigger the sending of the first dataset or the second dataset.

[1096] As one embodiment, the third processor generates the first dataset and the second dataset based on measurements of a first type of wireless signal, the first type of wireless signal including downlink RS.

[1097] As one embodiment, the fifth processor belongs to the first node, and the sixth processor belongs to the second node.

[1098] As an example, the first channel information belongs to the first type of output.

[1099] As an example, the second dataset includes the input of the first operation.

[1100] As an example, for the first operation in this application, the second dataset includes information obtained based on the reporting configuration of the first channel information.

[1101] As an example, the first dataset includes training data.

[1102] As an example, the fourth processor belongs to the producer of the first operation.

[1103] As one embodiment, the fourth processor includes an AI training producer.

[1104] As one embodiment, the fourth processor includes an AI training function.

[1105] As an example, the fourth processor is used for model training, and the trained model is described by the target first class of parameter sets.

[1106] As an example, the fourth processor belongs to the first node.

[1107] The above embodiments avoid passing the first dataset to the second node.

[1108] As one example, the fourth processor belongs to the second node.

[1109] The above embodiments support joint training and optimize system performance.

[1110] As an example, the fourth processor belongs to the core network.

[1111] The above embodiments support network-wide joint training, further optimizing system performance.

[1112] As an example, the second dataset includes inference data.

[1113] As one embodiment, the fifth processor includes an AI inference producer.

[1114] As one embodiment, the fifth processor includes an AI inference function.

[1115] As an example, the fifth processor belongs to the first node.

[1116] As an example, the fifth processor constructs a model based on the target first type of parameter group, and then inputs the second dataset into the constructed model to obtain the first type of output.

[1117] As an example, the first operation is described by the target first type of parameter group.

[1118] As an example, the target first type of parameter group is used to construct the first operation.

[1119] As one embodiment, the fifth processor includes the second operation.

[1120] As an example, the fifth processor generates a recovery dataset based on the first type of output, and the error between the recovery dataset and the second dataset is used to generate the first type of feedback.

[1121] As a sub-example of the above embodiment, the generation of the recovery dataset adopts a similar operation to the second one.

[1122] As an example, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model fails to meet the requirements, the fourth processing opportunity recalculates the target first type of parameter set.

[1123] As an example, when the error is too large or the update has not been performed for too long, the performance of the trained model is considered to be unsatisfactory.

[1124] As an example, the target first type of parameter group includes one or more of the following: convolution kernel size, number of convolution layers, convolution stride, pooling kernel size, pooling kernel stride, pooling function, activation function, or number of feature maps.

[1125] As an example, the target first type of parameter group includes one or more of the following: convolution kernel, pooling kernel, pooling function, activation function, parameters of pooling function, or parameters of activation function.

[1126] Example 17

[1127] Example 17 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of this application; as shown in Figure 17. Figure 17 includes a third operation, a fourth operation, a fifth operation, a sixth operation, and a seventh operation. In Example 17, the third and fourth operations 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 Figure 17, the lines with arrows indicate the sequence of processes.

[1128] As an example, 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.

[1129] As an example, 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 emulation phase.

[1130] As an example, the first stage includes AI model training.

[1131] As an example, the first stage includes AI model training and AI testing.

[1132] As an example, the AI ​​includes machine learning (ML) inference.

[1133] As an example, the AI ​​model training includes initial training and re-training of one or a group of AI entities.

[1134] As an example, the training of the AI ​​model depends on training data.

[1135] As an example, the AI ​​model training includes AI entity validation.

[1136] As an example, the AI ​​entity verification is used to evaluate the performance of the AI ​​entity.

[1137] As an example, the AI ​​entity verification relies on verification data.

[1138] As an example, if the AI ​​entity verification results do not meet expectations, the AI ​​model will be retrained.

[1139] As an example, the AI ​​testing includes testing the validated AI entity to estimate the performance of the trained AI model.

[1140] As an example, if the AI ​​test results meet expectations, the AI ​​entity proceeds to the next stage; otherwise, the AI ​​model will be retrained.

[1141] As an example, the AI ​​test relies on test data.

[1142] As an example, the second stage includes AI simulation, which performs inference of AI entities in a simulation environment.

[1143] As an example, the AI ​​simulation estimates the performance of AI entity inference in a simulation environment before using the AI ​​entity.

[1144] As one embodiment, the second stage is optional.

[1145] As an example, the third stage includes AI entity loading, which is to obtain trained AI entities to obtain the desired AI inference capabilities.

[1146] As an example, the third stage is optional.

[1147] As an example, the third stage is no longer needed when the training and inference functions are co-located.

[1148] As an example, the fourth stage includes AI inference.

[1149] As an example, the seventh operation includes the first operation.

[1150] As an example, the seventh operation includes the second operation.

[1151] Example 18

[1152] Example 18 illustrates a structural block diagram of a processing apparatus for a first node according to an embodiment of this application; as shown in Figure 18. In Figure 18, the processing apparatus 1800 in the first node includes a first processor 1801.

[1153] As one example, the first node is a user equipment.

[1154] As an example, the first node is a relay node device.

[1155] As an example, the first processor 1802 includes at least one of the following in embodiment 4: {antenna 452, receiver / transmitter 454, receiver processor 456, transmitter processor 468, multi-antenna receiver processor 458, multi-antenna transmitter processor 457, controller / processor 459, memory 460, data source 467}.

[1156] First processor 1801: Sends reference information block; sends first channel information;

[1157] In embodiment 18, the reference information block is used to indicate J resource groups, each of the J resource groups including at least one first type of resource, where J is a positive integer greater than 1; the generation of the first channel information occupies M1 first type of resources in the first resource group, where M1 is a positive integer; the first resource group is one of the J resource groups that satisfies a first condition; the first condition includes: the resource group includes at least M1 unoccupied first type of resources.

[1158] As an example, any one of the J resource groups further includes at least one second type of resource, and the generation of the first channel information also occupies M2 second type resources in the first resource group, where M2 is a positive integer; the first condition includes: the resource group includes at least M2 second type resources that can be used for the generation of the first channel information.

[1159] As one embodiment, the second type of resources that can be used for the generation of the first channel information includes: unoccupied second type of resources.

[1160] As one embodiment, the generation of the first channel information corresponds to a first identifier; the second type of resources that can be used for the generation of the first channel information includes: second type of resources that have been occupied for the first identifier.

[1161] As an example, the generation of the first channel information corresponds to a first identifier; when there are M2 second-type resources that have been occupied for the first identifier in one of the J resource groups, and the resource group includes at least M1 unoccupied first-type resources, the resource group is the first resource group.

[1162] As an example, the generation of the first channel information corresponds to a first identifier; multiple resource groups in the J resource groups all satisfy the first condition; when there are M2 second-type resources in one of the multiple resource groups that have been occupied for the first identifier, the resource group is the first resource group.

[1163] As an example, multiple resource groups among the J resource groups all satisfy the first condition; the first resource group is one of the multiple resource groups that satisfies the second condition; the second condition includes at least one of the first sub-condition or the second sub-condition; wherein,

[1164] The first sub-condition includes: at least one of the first type of resources in the resource group has been occupied;

[1165] The second sub-condition includes: the number of unoccupied resources of the first type within the resource group is the minimum.

[1166] According to one aspect of this application, it is characterized by comprising:

[1167] The first processor 1801 receives the reported configuration of the first channel information.

[1168] As one embodiment, 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 that do not belong to the first resource set.

[1169] As an example, the first processor 1801 receives a signal in the first resource set.

[1170] As one embodiment, the signals in the first resource set include: wireless signals in the first resource set.

[1171] As one embodiment, the signals in the first resource set include: reference signals in the first resource set.

[1172] As an example, the first processor 1801 receives signals from the second source set.

[1173] As one embodiment, the second source set includes one or more RS resources; the signals in the second resource set include: reference signals in the first resource set.

[1174] As an example, the first processor 1801 performs a first operation, and the first channel information depends on the output of the first operation.

[1175] As an example, the first operation is based on training or AI.

[1176] As an example, the first operation requires deployment.

[1177] As an example, the first operation is obtained by loading.

[1178] As an example, the first processor 1801 deploys the first operation.

[1179] Example 19

[1180] Example 19 illustrates a structural block diagram of a processing apparatus for a second node according to an embodiment of this application; as shown in Figure 19. In Figure 19, the processing apparatus 1900 in the second node includes a second processor 1901.

[1181] In one embodiment, the second node is a base station device.

[1182] In one embodiment, the second node is a user equipment.

[1183] As one embodiment, the second node is a relay node device.

[1184] As one embodiment, the second processor 1901 includes at least one of the following in embodiment 4: {antenna 420, receiver / transmitter 418, receiver processor 470, transmitter processor 416, multi-antenna receiver processor 472, multi-antenna transmitter processor 471, controller / processor 475, memory 476}.

[1185] The second processor 1901 receives reference information blocks and first channel information.

[1186] In embodiment 19, the reference information block is used to indicate J resource groups, each of the J resource groups including at least one first type of resource, where J is a positive integer greater than 1; the generation of the first channel information occupies M1 first type of resources in the first resource group, where M1 is a positive integer; the first resource group is a resource group among the J resource groups that satisfies a first condition; the first condition includes: the resource group includes at least M1 unoccupied first type of resources.

[1187] As an example, any one of the J resource groups further includes at least one second type of resource, and the generation of the first channel information also occupies M2 second type resources in the first resource group, where M2 is a positive integer; the first condition includes: the resource group includes at least M2 second type resources that can be used for the generation of the first channel information.

[1188] As one embodiment, the second type of resources that can be used for the generation of the first channel information includes: unoccupied second type of resources.

[1189] As one embodiment, the generation of the first channel information corresponds to a first identifier; the second type of resources that can be used for the generation of the first channel information includes: second type of resources that have been occupied for the first identifier.

[1190] As an example, the generation of the first channel information corresponds to a first identifier; when there are M2 second-type resources that have been occupied for the first identifier in one of the J resource groups, and the resource group includes at least M1 unoccupied first-type resources, the resource group is the first resource group.

[1191] As an example, the generation of the first channel information corresponds to a first identifier; multiple resource groups in the J resource groups all satisfy the first condition; when there are M2 second-type resources in one of the multiple resource groups that have been occupied for the first identifier, the resource group is the first resource group.

[1192] As an example, multiple resource groups among the J resource groups all satisfy the first condition; the first resource group is one of the multiple resource groups that satisfies the second condition; the second condition includes at least one of the first sub-condition or the second sub-condition; wherein,

[1193] The first sub-condition includes: at least one of the first type of resources in the resource group has been occupied;

[1194] The second sub-condition includes: the number of unoccupied resources of the first type within the resource group is the minimum.

[1195] As one embodiment, it includes:

[1196] The second processor 1901 sends the reporting configuration of the first channel information.

[1197] As one embodiment, 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 that do not belong to the first resource set.

[1198] As one embodiment, the second processor 1901 sends a signal in the first resource set.

[1199] As one embodiment, the signals in the first resource set include: wireless signals in the first resource set.

[1200] As one embodiment, the signals in the first resource set include: reference signals in the first resource set.

[1201] As one embodiment, the second processor 1901 sends signals in the second source set.

[1202] As one embodiment, the second source set includes one or more RS resources; the signals in the second resource set include: reference signals in the first resource set.

[1203] As one 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 includes a first CSI, the first channel information carries the first CSI, and the first CSI is used as input to the second operation to generate a second CSI.

[1204] As an example, the first operation is based on training or AI.

[1205] As an example, the first operation requires deployment.

[1206] As an example, the first operation is obtained by loading.

[1207] As an example, the second processor 1901 deploys the second operation.

[1208] As one example, the second operation is based on training or AI.

[1209] As an example, the second operation needs to be deployed.

[1210] As an example, the second operation is obtained by loading.

[1211] Those skilled in the art will understand that all or part of the steps in the above methods can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium, such as a read-only memory, hard disk, or optical disk. Optionally, all or part of the steps in the above embodiments can also be implemented using one or more integrated circuits. Accordingly, each module unit in the above embodiments can be implemented in hardware or in the form of software functional modules. This application is not limited to any specific combination of software and hardware. The user equipment, terminal, and UE in this application include, but are not limited to, drones, communication modules on drones, remote-controlled aircraft, aircraft, small aircraft, mobile phones, tablets, laptops, vehicle-mounted communication equipment, vehicles, RSUs, wireless sensors, internet access cards, IoT terminals, RFID terminals, NB-IoT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, internet access cards, vehicle-mounted communication equipment, low-cost mobile phones, low-cost tablets, and other wireless communication devices. The base stations or system equipment in this application include, but are not limited to, macrocell base stations, microcell base stations, small cell base stations, home base stations, relay base stations, eNBs, gNBs, TRPs (Transmitter Receiver Points), GNSS, relay satellites, satellite base stations, airborne base stations, RSUs (Road Side Units), drones, and testing equipment, such as transceivers or signaling testers that simulate some functions of a base station, and other wireless communication equipment.

[1212] Those skilled in the art will understand that the present invention can be practiced in other specified forms without departing from its core or essential characteristics. Therefore, the embodiments disclosed herein should in any way be considered descriptive rather than restrictive. The scope of the invention is defined by the appended claims rather than the foregoing description, and all modifications within their equivalent meaning and scope are considered to be included therein.

Claims

1. A first node configured for wireless communication, the first node comprising: Comprising: a first processor, sending a reference information block, the reference information block being used to indicate J resource groups, any resource group of the J resource groups comprising at least one first type of resource, J being a positive integer greater than 1; sending first channel information; wherein the generation of the first channel information occupies M1 first type of resources in a first resource group, M1 being a positive integer; the first resource group being one resource group of the J resource groups satisfying a first condition; the first condition comprising: the resource group comprising at least M1 first type of resources which are not occupied.

2. The first node of claim 1, characterized in that, any resource group of the J resource groups further comprising at least one second type of resource, the generation of the first channel information further occupying M2 second type of resources in the first resource group, M2 being a positive integer; the first condition comprising: the resource group comprising at least M2 second type of resources which are available for the generation of the first channel information.

3. The first node of claim 2, wherein, the second type of resources available for the generation of the first channel information comprising: the second type of resources which are not occupied.

4. The first node of claim 2 or 3, characterized by, the generation of the first channel information corresponding to a first identification; the second type of resources available for the generation of the first channel information comprising: the second type of resources which have been occupied for the first identification.

5. The first node of any of claims 2-4, wherein, the generation of the first channel information corresponding to a first identification; when there are M2 second type of resources which have been occupied for the first identification in one resource group of the J resource groups, and the one resource group comprises at least M1 first type of resources which are not occupied, the one resource group being the first resource group.

6. The first node of any of claims 2-5, wherein, the generation of the first channel information corresponding to a first identification; multiple resource groups of the J resource groups all satisfying the first condition; when there are M2 second type of resources which have been occupied for the first identification in one resource group of the multiple resource groups, the one resource group being the first resource group.

7. The first node of any of claims 1-6, wherein, multiple resource groups of the J resource groups all satisfying the first condition; the first resource group being one resource group of the multiple resource groups satisfying a second condition; the second condition comprising at least one of a first sub-condition or a second sub-condition; wherein, the first sub-condition comprising: at least one first type of resource in the resource group having been occupied; the second sub-condition comprising: the number of first type of resources which are not occupied in the resource group being the smallest.

8. A second node configured for wireless communication, the second node comprising: Comprising: a second processor, receiving a reference information block, the reference information block being used to indicate J resource groups, any resource group of the J resource groups comprising at least one first type of resource, J being a positive integer greater than 1; receiving first channel information; wherein the generation of the first channel information occupies M1 first type of resources in a first resource group, M1 being a positive integer; the first resource group being one resource group of the J resource groups satisfying a first condition; the first condition comprising: the resource group comprising at least M1 first type of resources which are not occupied.

9. A method in a first node used for wireless communication, characterized by, Comprising: transmitting a reference information block, the reference information block being used to indicate J resource groups, any of the J resource groups comprising at least one first type of resource, J being a positive integer greater than 1; transmitting first channel information; wherein the first channel information is generated by occupying M1 first type of resources in a first resource group, M1 being a positive integer; the first resource group being one of the J resource groups satisfying a first condition; the first condition comprising that the resource group comprises at least M1 first type of resources which are not occupied.

10. A method in a second node used for wireless communication, characterized by, comprising: receiving a reference information block, the reference information block being used to indicate J resource groups, any of the J resource groups comprising at least one first type of resource, J being a positive integer greater than 1; receiving first channel information; wherein the first channel information is generated by occupying M1 first type of resources in a first resource group, M1 being a positive integer; the first resource group being one of the J resource groups satisfying a first condition; the first condition comprising that the resource group comprises at least M1 first type of resources which are not occupied.

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