A method and apparatus used in a node for wireless communication

Abstract

The application discloses a method and device used in a node for wireless communication. A first node receives a reporting configuration of at least one first type of CSI on a first cell set, the generation mode of the first type of CSI is based on AI, and the generation mode of the first type of CSI is associated with a first type of identifier; a first information block is received, the first information block is used to activate or deactivate a target identifier, and the target identifier is one of the first type of identifier; whether the first information block is applied to all serving cells in the first cell set depends on whether the first information block is used to activate or deactivate the target identifier; when the first information block is used to activate the target identifier, the first information block is applied to all serving cells in the first cell set; and when the first information block is used to deactivate the target identifier, the first information block is applied to only a first cell, and the first cell depends on the first information block.

Description

TECHNICAL FIELD

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

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

[0003] With the adoption of new technologies, the increase in the number of antennas, the diversification of application scenarios and the improvement of system performance requirements, the traditional measurement and reporting method will bring a large amount of redundant overhead. Therefore, in NR R(release)18, the research on AI(Artificial Intelligence) / ML(Machine Learning) technology is launched to explore its impact on system performance and system design. Compared with the traditional processing method, AI / ML has the characteristics of being based on training and needing to be deployed. SUMMARY

[0004] The applicant found through research that when AI / ML functions are introduced, the existing measurement mechanism, reporting mechanism and related configuration signaling may not be able to meet the needs of AI / ML. In view of the above problems, the present application discloses a solution. It should be noted that although a large number of embodiments of the present application are developed for AI / ML, the present application is also applicable to other schemes, such as the traditional CSI reporting scheme. In addition, the use of a unified solution in different scenarios, including but not limited to AI / ML-based schemes and traditional CSI reporting schemes, helps to reduce hardware complexity and cost. In the case of no conflict, the embodiments in the first node and the features in the embodiments of the present application can be applied to the second node, and vice versa. In the case of no conflict, the embodiments of the present application and the features in the embodiments can be arbitrarily combined with each other.

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

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

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

[0008] receiving a reporting configuration of at least one first type of CSI on a first cell set, the first cell set comprising a plurality of serving cells, the generation mode of the first type of CSI being AI-based, the generation mode of the first type of CSI being associated with a first type of identifier; receiving a first information block, the first information block being used to activate or deactivate a target identifier, the target identifier being one of the first type of identifier;

[0009] wherein whether the first information block is applied to all serving cells in the first cell set depends on whether the first information block is used to activate or deactivate the target identifier; when the first information block is used to activate the target identifier, the first information block is applied to all serving cells in the first cell set; when the first information block is used to deactivate the target identifier, the first information block is applied to only a first cell, the first cell depending on the first information block, the first cell being one of the serving cells in the first cell set.

[0010] As an embodiment, the problem to be solved by the present application includes: when a plurality of serving cells of a UE adopt an AI-based generation mode of CSI, how to determine the understanding of different AI entities or functions, and perform channel information reporting.

[0011] As an embodiment, in the above method, the generation mode of CSI in the plurality of serving cells is determined by activating or deactivating the target identifier through the first information block.

[0012] As an embodiment, the above method is characterized in that: the understanding of different AI entities or functions is unified among a plurality of nodes.

[0013] As an embodiment, the above method has the benefits including: obtaining channel information of a plurality of time units based on measurement of one resource set.

[0014] As an embodiment, the above method has the benefits including: improving the accuracy and real-time performance of channel information reporting, and reducing the reporting overhead.

[0015] As an embodiment, the AI (Artificial Intelligence) includes ML (Machine Learning).

[0016] As an embodiment, the above method has the benefits including: better adaptation to various application scenarios and terminals, and improved flexibility and adaptability.

[0017] As an embodiment, the above method has the benefits including: signaling overhead is saved.

[0018] As an embodiment, the above method has the benefits including: the accuracy and real-time performance of channel information reporting are improved.

[0019] According to an aspect of the present application, the first node is a user equipment.

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

[0021] According to an aspect of the present application, when the first information block is used to activate the target identity, the application of the first information block to all serving cells in the first cell set includes: the first type identity associated with the generation mode of at least one first type CSI on each serving cell in the first cell set is updated to the target identity.

[0022] As an embodiment, the above method has the benefits including: the understanding of different AI entities or functions by multiple serving cells is unified, and the design is simplified.

[0023] According to an aspect of the present application, when the first information block is used to deactivate the target identity, the application of the first information block to only the first cell includes: the first type CSI on only the first cell in the first cell set that meets a first condition is abandoned or not updated, and the first condition includes that the associated first type identity is the target identity.

[0024] As an embodiment, the above method has the benefits including: the generation mode of CSI in a serving cell is determined by deactivating the target identity through the first information block, and the flexibility is high.

[0025] According to an aspect of the present application, when the first information block is used to deactivate the target identity, the application of the first information block to only the first cell includes: the first type CSI on only the first cell in the first cell set that meets a first condition is updated to a second type CSI, the generation mode of the second type CSI is not AI-based, and the first condition includes that the associated first type identity is the target identity.

[0026] As an embodiment, the method has the advantages of: supporting AI-based channel information reporting and non-AI-based channel information reporting in multiple serving cells of the UE at the same time, having good flexibility, and improving the accuracy of channel information reporting.

[0027] According to an aspect of the present application, the first information block indicates the first cell.

[0028] As an embodiment, the method has the advantages of: having good flexibility.

[0029] According to an aspect of the present application, the first cell is a serving cell in which a physical channel carrying the first information block is located.

[0030] As an embodiment, the method has the advantages of: simplifying the design.

[0031] According to an aspect of the present application, the reporting configuration of the first type of CSI indicates a first resource set, the first resource set is used for at least one of channel measurement or interference measurement, and the first resource set includes one or more RS resources; the first type of CSI indicates at least one resource in a second resource set, and the second resource set includes resources that do not belong to the first resource set.

[0032] As an embodiment, the method has the advantages of: reducing the overhead required to obtain channel information.

[0033] As an embodiment, the method has the advantages of: reducing the measurement resources required to obtain channel information.

[0034] According to an aspect of the present application, the reporting configuration of the first type of CSI indicates a first resource set, the first resource set is used for at least one of channel measurement or interference measurement, and the first resource set includes one or more RS resources; the generation manner of the first type of CSI includes: the first node or a target receiver of the reporting configuration of the at least one first type of CSI performs a first operation, the input of the first operation depends on measurement based on the first resource set, and the first type of CSI depends on the output of the first operation.

[0035] As an embodiment, the method has the advantages of: better adaptation to various application scenarios or terminals, and improved flexibility and adaptability.

[0036] As an embodiment, the method has the advantages of: improving the accuracy of channel information reporting.

[0037] According to an aspect of the present disclosure, the first type of CSI is associated with the first type of identification in a manner that the first operation is associated with the first type of identification.

[0038] As an embodiment, the above method has the advantages of: identifying an AI entity or function by the first type of identification, simplifying the design and unifying the understanding of different AI entities or functions among multiple nodes.

[0039] According to an aspect of the present disclosure, the first type of CSI is associated with the first type of identification in a manner that the first type of CSI is associated with the first type of identification indicated by the reporting configuration of the first type of CSI.

[0040] As an embodiment, the above method has the advantages of: the first type of identification is indicated by the reporting configuration of the first type of CSI, simplifying the design and achieving simplicity.

[0041] According to an aspect of the present disclosure, the first type of CSI is associated with the first type of identification in a manner that the first type of CSI is associated with the first type of identification indicated by the reporting configuration of the first type of CSI.

[0042] As an embodiment, the AI (Artificial Intelligence) includes ML (Machine Learning).

[0043] As an embodiment, the above method has the advantages of: better adaptation to various application scenarios and terminals, improving flexibility and adaptability.

[0044] As an embodiment, the above method has the advantages of: improving the accuracy and real-time performance of channel information reporting.

[0045] According to an aspect of the present disclosure, the method comprises:

[0046] receiving a first higher layer parameter;

[0047] The first higher layer parameter indicates the first set of cells.

[0048] As an embodiment, the above method has the advantages of: indicating multiple cells by the first higher layer parameter, simplifying the design and unifying the understanding of different AI entities or functions among multiple nodes.

[0049] According to one aspect of the present application, it features comprising:

[0050] sending a second information block;

[0051] wherein the second information block indicates that the generation manners of the CSI on the plurality of serving cells are associated to the same first type of identity.

[0052] As one embodiment, the benefits of the above method include that the first node reports the terminal capability to help the base station to select a more suitable channel information measurement and reporting scheme, and improve the transmission performance.

[0053] The present application discloses a method in a second node used for wireless communication, characterized in comprising:

[0054] sending a reporting configuration of at least one first type of CSI on a first cell set, the first cell set comprising a plurality of serving cells, the generation manner of the first type of CSI being AI-based, the generation manner of the first type of CSI being associated to a first type of identity; and sending a first information block, the first information block being used to activate or deactivate a target identity, the target identity being one of the first type of identity;

[0055] wherein whether the first information block is applied to all serving cells in the first cell set depends on whether the first information block is used to activate or deactivate the target identity; when the first information block is used to activate the target identity, the first information block is applied to all serving cells in the first cell set; when the first information block is used to deactivate the target identity, the first information block is applied to only a first cell, the first cell depending on the first information block, the first cell being one of the serving cells in the first cell set.

[0056] According to one aspect of the present application, the second node is a base station.

[0057] According to one aspect of the present application, the second node is a user equipment.

[0058] According to one aspect of the present application, the second node is a relay node.

[0059] According to one aspect of the present application, when the first information block is used to activate the target identity, the first information block being applied to all serving cells in the first cell set comprises that the first type of identity associated to the generation manner of at least one first type of CSI on each serving cell in the first cell set is updated to the target identity.

[0060] According to an aspect of the present application, when the first information block is used to deactivate the target identity, the first information block is applied to only the first cell includes: the first type of CSI on only the first cell in the first cell set that meets a first condition is dropped or not updated, the first condition includes that the associated first type of identity is the target identity.

[0061] According to an aspect of the present application, when the first information block is used to deactivate the target identity, the first information block is applied to only the first cell includes: the first type of CSI on only the first cell in the first cell set that meets a first condition is updated to a second type of CSI, the second type of CSI is generated in a manner that is not based on AI, and the first condition includes that the associated first type of identity is the target identity.

[0062] According to an aspect of the present application, the first information block indicates the first cell.

[0063] According to an aspect of the present application, the first cell is a serving cell on which a physical channel carrying the first information block is located.

[0064] According to an aspect of the present application, the reporting configuration of the first type of CSI indicates a first resource set, the first resource set is used for at least one of channel measurement or interference measurement, and the first resource set includes one or more RS resources; the first type of CSI indicates at least one resource in a second resource set, the second resource set includes resources that do not belong to the first resource set.

[0065] According to an aspect of the present application, the reporting configuration of the first type of CSI indicates a first resource set, the first resource set is used for at least one of channel measurement or interference measurement, and the first resource set includes one or more RS resources; the generation manner of the first type of CSI includes: a target recipient of the reporting configuration of the at least one first type of CSI performs a first operation, an input of the first operation depends on measurement based on the first resource set, and the first type of CSI depends on an output of the first operation.

[0066] According to an aspect of the present application, the first type of CSI is associated to a first type of identity includes: the first operation is associated to the first type of identity.

[0067] According to an aspect of the present application, the first type CSI generation manner is associated with the first type identifier includes that: the first type CSI reporting configuration indicates the first type identifier, and the first type identifier indicated by the first type CSI reporting configuration is the first type identifier associated with the first type CSI generation manner.

[0068] According to an aspect of the present application, the first type CSI generation manner is associated with the first type identifier includes that: the first type CSI generation manner uses an AI model identified by the first type identifier, or the first type CSI is generated by an AI entity identified by the first type identifier, or the first type CSI is used for an AI function identified by the first type identifier.

[0069] According to an aspect of the present application, the first type CSI generation manner is associated with the first type identifier includes that: the first type CSI reporting configuration indicates the first type identifier, and the first type identifier indicated by the first type CSI reporting configuration is the first type identifier associated with the first type CSI generation manner.

[0070] The first higher layer parameter is transmitted.

[0071] The first higher layer parameter indicates the first cell set.

[0072] According to an aspect of the present application, the first type CSI generation manner is associated with the first type identifier includes that: the first type CSI reporting configuration indicates the first type identifier, and the first type identifier indicated by the first type CSI reporting configuration is the first type identifier associated with the first type CSI generation manner.

[0073] The second information block is received.

[0074] The second information block indicates that the CSI generation manners on the plurality of serving cells are associated with the same first type identifier.

[0075] The present application discloses a terminal, characterized in that the terminal comprises one or more processors and a memory;

[0076] The memory is coupled with the one or more processors, and the memory is configured to store computer program code, the computer program code comprising computer instructions, and the one or more processors are configured to invoke the computer instructions to cause the terminal to execute the method in the first node.

[0077] The present application discloses a base station, characterized in that the base station comprises one or more processors and a memory;

[0078] The memory is coupled with the one or more processors, and the memory is configured to store computer program code, the computer program code comprising computer instructions, and the one or more processors are configured to invoke the computer instructions to cause the base station to execute the method in the second node.

[0079] The present application discloses a first node used for wireless communication, characterized in that comprising:

[0080] The first receiver receives a reporting configuration of at least one first type of CSI on a first cell set, the first cell set including a plurality of serving cells, a generation manner of the first type of CSI being AI-based, and the generation manner of the first type of CSI being associated with a first type of identifier; and receives a first information block, the first information block being used to activate or deactivate a target identifier, the target identifier being one of the first type of identifier.

[0081] Wherein, whether the first information block is applied to all serving cells in the first cell set depends on whether the first information block is used to activate or deactivate the target identifier; when the first information block is used to activate the target identifier, the first information block is applied to all serving cells in the first cell set; when the first information block is used to deactivate the target identifier, the first information block is applied to only a first cell, the first cell depending on the first information block, and the first cell being one of the serving cells in the first cell set.

[0082] The application discloses a second node for wireless communication, characterized by comprising:

[0083] The second processor transmits a reporting configuration of at least one first type of CSI on a first cell set, the first cell set including a plurality of serving cells, a generation manner of the first type of CSI being AI-based, and the generation manner of the first type of CSI being associated with a first type of identifier; and transmits a first information block, the first information block being used to activate or deactivate a target identifier, the target identifier being one of the first type of identifier.

[0084] Wherein, whether the first information block is applied to all serving cells in the first cell set depends on whether the first information block is used to activate or deactivate the target identifier; when the first information block is used to activate the target identifier, the first information block is applied to all serving cells in the first cell set; when the first information block is used to deactivate the target identifier, the first information block is applied to only a first cell, the first cell depending on the first information block, and the first cell being one of the serving cells in the first cell set.

[0085] As an embodiment, compared with the conventional scheme, the application has the following advantages:

[0086] Higher channel information accuracy and real-time performance, and enhanced overall system performance;

[0087] Signaling overhead is saved;

[0088] Lower air interface overhead;

[0089] More flexible and diverse input information;

[0090] Better flexibility and adaptability;

[0091] Enhanced reliability and robustness. BRIEF DESCRIPTION OF DRAWINGS

[0092] Other features, objects, and advantages of the application will become more apparent from the following detailed description of non-limiting embodiments thereof, when read in connection with the following accompanying drawings:

[0093] Figure 1 A flowchart illustrating reporting configuration of a first type of CSI and a first information block according to one embodiment of the present application is shown;

[0094] Figure 2 A schematic diagram illustrating a network architecture according to one embodiment of the present application is shown;

[0095] Figure 3 A schematic diagram illustrating an embodiment of a radio protocol architecture for the user and control planes according to one embodiment of the present application is shown;

[0096] Figure 4 A schematic diagram illustrating a first communication device and a second communication device according to one embodiment of the present application is shown;

[0097] Figure 5 A flowchart illustrating a transmission between a first node and a second node according to one embodiment of the present application is shown;

[0098] Figure 6 A schematic diagram illustrating a first information block being used to activate a target identification according to one embodiment of the present application is shown;

[0099] Figure 7 A schematic diagram illustrating a first information block being used to deactivate a target identification according to one embodiment of the present application is shown;

[0100] Figure 8 A schematic diagram illustrating a second type of CSI according to one embodiment of the present application is shown;

[0101] Figure 9 A schematic diagram illustrating a first cell relying on a first information block according to one embodiment of the present application is shown;

[0102] Figure 10 A schematic diagram illustrating a first cell relying on a first information block according to another embodiment of the present application is shown;

[0103] Figure 11 A schematic diagram illustrating a first resource set and a second resource set according to one embodiment of the present application is shown;

[0104] Figure 12A diagram showing the relationship of the first operation and the first type of CSI according to one embodiment of the application;

[0105] Figure 13 A diagram showing the first operation is associated to the first type of identification according to one embodiment of the application;

[0106] Figure 14 A diagram showing the first operation according to one embodiment of the application;

[0107] Figure 15 A diagram showing the reporting configuration of the first type of CSI indicates the first type of identification according to one embodiment of the application;

[0108] Figure 16 A diagram showing the generation manner of the first type of CSI is associated to the first type of identification according to one embodiment of the application;

[0109] Figure 17 A diagram showing the first higher layer parameter according to one embodiment of the application;

[0110] Figure 18 A diagram showing the second information block according to one embodiment of the application;

[0111] Figure 19 A diagram showing the first operation according to another embodiment of the application.

[0112] Figure 20 A diagram showing the first node deploying the first operation according to one embodiment of the application.

[0113] Figure 21 A diagram showing the processing system based on artificial intelligence or machine learning according to one embodiment of the application;

[0114] Figure 22 A diagram showing the artificial intelligence or machine learning according to one embodiment of the application;

[0115] Figure 23 A structural block diagram showing the processing device in the first node according to one embodiment of the application;

[0116] Figure 24 A structural block diagram showing the processing device in the second node according to one embodiment of the application; DETAILED DESCRIPTION

[0117] 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, those in the accompanying drawings. Figure 1 Examples and appendices Figure 5 -Appendix Figure 24 The embodiments in the appendix Figure 5 Examples and appendices Figure 6 -Appendix Figure 24 Examples, etc.

[0118] Example 1

[0119] Example 1 illustrates a flowchart of the reporting configuration and first information block of a first type of CSI according to an embodiment of this application, as shown in the attached diagram. Figure 1 As shown. In the appendix Figure 1 In the 100 shown, each box represents a step. In particular, the order of the steps in the boxes does not represent a specific temporal relationship between the steps.

[0120] In Embodiment 1, the first node receives, in step 101, a reporting configuration of at least one first type CSI on a first cell set; and in step 102, receives a first information block. The first cell set includes multiple serving cells, the first type CSI is generated using AI, and the generation method of the first type CSI is associated with a first type identifier. The first information block is used to activate or deactivate a target identifier, which is a first type identifier. Whether the first information block is applied to all serving cells in the first cell set depends on whether the first information block is used to activate or deactivate the target identifier. When the first information block is used to activate the target identifier, the first information block is applied to all serving cells in the first cell set. When the first information block is used to deactivate the target identifier, the first information block is applied only to the first cell, which depends on the first information block, and the first cell is a serving cell in the first cell set.

[0121] As an example, the reporting configuration of the first type of CSI is carried by higher layer signaling.

[0122] As an example, the reporting configuration of the first type of CSI is carried by RRC (Radio Resource Control) signaling.

[0123] As one embodiment, the reporting configuration of the first type of CSI is carried by one RRC IE.

[0124] As one embodiment, the reporting configuration of the first type of CSI is carried by at least one RRC IE.

[0125] As one embodiment, the reporting configuration of the first type of CSI includes information in one or more fields in at least one RRC IE.

[0126] As one embodiment, the reporting configuration of the first type of CSI includes information in one or more fields in each of a plurality of RRC IEs.

[0127] As one embodiment, the reporting configuration of the first type of CSI is one RRC IE.

[0128] As one embodiment, the reporting configuration of the first type of CSI belongs to CSI-ReportConfig IE.

[0129] As one embodiment, the reporting configuration of the first type of CSI belongs to ServingCellConfig IE.

[0130] As one embodiment, the reporting configuration of the first type of CSI belongs to CSI-MeasConfig IE.

[0131] As one embodiment, the reporting configuration of the first type of CSI belongs to ServingCellConfigCommon IE.

[0132] As one embodiment, the reporting configuration of the first type of CSI belongs to ServingCellConfigCommonSIB IE.

[0133] As one embodiment, the reporting configuration of the first type of CSI includes some or all fields in CSI-ReportConfig IE.

[0134] As one embodiment, the reporting configuration of the first type of CSI includes some or all fields in ServingCellConfig IE.

[0135] As one embodiment, the reporting configuration of the first type of CSI includes some or all fields in CSI-MeasConfig IE.

[0136] As one embodiment, the reporting configuration of the first type of CSI includes some or all fields in ServingCellConfigCommon IE.

[0137] As one embodiment, the reporting configuration of the first type of CSI includes some or all fields in ServingCellConfigCommonSIB IE.

[0138] As one embodiment, the reporting configuration of the first type of CSI includes one CSI resource configuration, which is used to indicate a first resource set, which is used for at least one of channel measurement or interference measurement of the first type of CSI.

[0139] As one sub-embodiment of the above embodiment, the one CSI resource configuration is an IE CSI-ResourceConfig.

[0140] As one sub-embodiment of the above embodiment, the reporting configuration of the first type of CSI includes a resourcesForChannelMeasurement field, which indicates the one CSI resource configuration.

[0141] As one embodiment, the reporting configuration of the first type of CSI includes multiple CSI resource configurations, one of which is used to configure the first resource set.

[0142] As one embodiment, the reporting configuration of the first type of CSI includes a reportConfigType field, which indicates which one of periodic, semi Persistent On PUSCH, semi Persistent On PUCCH, or aperiodic the first type of CSI is.

[0143] As one embodiment, the first type of CSI is periodic, semi persistent, or aperiodic.

[0144] As one embodiment, the reporting configuration of the first type of CSI further indicates a reporting quantity included in the first type of CSI.

[0145] As an embodiment, the reporting configuration of the first type of CSI comprises a reportQuantity field, the reportQuantity field in the reporting configuration of the first type of CSI indicating a reporting quantity included in the first type of CSI.

[0146] As an embodiment, the reporting quantity included in the first type of CSI comprises at least one of a CQI (Channel Quality Indicator), a PMI (Precoding Matrix Indicator), a CRI (CSI-RS Resource Indicator), an SS / PBCH Block Resource indicator (SSBRI), a Layer Indicator (LI), an RI (Rank Indicator), an L1-RSRP (Layer 1 Reference Signal Received Power), or an L1-SINR (Layer 1 Signal-to-Noise and Interference Ratio).

[0147] As an embodiment, the first node receives a reporting configuration of a first type of CSI on each cell in the first set of cells.

[0148] As an embodiment, the first node receives at least one reporting configuration of a first type of CSI on each cell in the first set of cells.

[0149] As an embodiment, the first node receives a plurality of reporting configurations of a first type of CSI on one cell in the first set of cells.

[0150] As an embodiment, the first set of cells is a set of cells to which the first cell belongs.

[0151] As an embodiment, the first set of cells is one set of cells including the first cell among a plurality of sets of cells of the first node; any set of cells in the plurality of sets of cells comprises one or more serving cells.

[0152] As an embodiment, the plurality of serving cells included in the first set of cells belong to one cell group, and the first cell belongs to the one cell group.

[0153] As an embodiment, the first set of cells comprises a plurality of serving cells belonging to one cell group, and the first cell is a SpCell (Special Cell) or a SCell (Secondary Cell) in the one cell group.

[0154] As an embodiment, the first set of cells comprises a plurality of serving cells belonging to one cell group, and the one cell group is a PCG (Primary Cell Group), and the first cell is a PCell (Primary Cell) in the one cell group.

[0155] As an embodiment, the first set of cells comprises a plurality of serving cells belonging to one cell group, and the one cell group is a PCG (Primary Cell Group), and the first cell is a SCell (Secondary Cell) in the one cell group.

[0156] As an embodiment, the first set of cells comprises a plurality of serving cells belonging to one cell group, and the one cell group is a SCG (Secondary Cell Group), and the first cell is a PSCell (Primary Secondry Cell) in the one cell group.

[0157] As an embodiment, the first set of cells comprises a plurality of serving cells belonging to one cell group, and the one cell group is a SCG (Secondary Cell Group), and the first cell is a SCell (Secondary Cell) in the one cell group.

[0158] As an embodiment, the first information block is carried by physical layer signaling.

[0159] As an embodiment, the first information block comprises a DCI.

[0160] As an embodiment, the first information block comprises part or all fields in a DCI.

[0161] As an embodiment, the first information block comprises a MAC CE.

[0162] As an embodiment, the first information block is cell common.

[0163] As one embodiment, the first information block is cell specific.

[0164] As one embodiment, the first information block is UE group common.

[0165] As one embodiment, the first information block is UE group specific.

[0166] As one embodiment, the first information block is UE specific.

[0167] As one embodiment, the first information block comprises a first reference field, the first reference field comprised by the first information block is used to activate or deactivate a target identity.

[0168] As one sub-embodiment of the above embodiment, when the first reference field comprised by the first information block is set to 1, the target identity is activated; when the first reference field comprised by the first information block is set to 0, the target identity is deactivated.

[0169] As one sub-embodiment of the above embodiment, when the first reference field comprised by the first information block is set to 0, the target identity is activated; when the first reference field comprised by the first information block is set to 1, the target identity is deactivated.

[0170] As one embodiment, the first information block comprises a second reference field, the second reference field comprised by the first information block is used to indicate the target identity.

[0171] As one embodiment, the second reference field of the first information block is used to indicate a value of the target identity.

[0172] As one embodiment, the second reference field of the first information block is used to indicate an index of the target identity.

[0173] As one embodiment, the second reference field of the first information block is used to indicate the target identity from a candidate of the target identity.

[0174] As one embodiment, a value of the second reference field of the first information block is equal to the target identity.

[0175] As one embodiment, the first information block explicitly indicates the target identity.

[0176] As one embodiment, the first information block implicitly indicates the target identity.

[0177] As an embodiment, the first information block is used to activate or deactivate at least one identity other than the target identity, the at least one identity being a first type of identity.

[0178] As an embodiment, the target identity is a first type of identity.

[0179] As an embodiment, the target identity is a non-negative integer.

[0180] As an embodiment, the target identity is a string.

[0181] As an embodiment, the target identity is used to identify an AI model.

[0182] As an embodiment, the target identity is used to identify an AI entity.

[0183] As an embodiment, the target identity is used to identify an AI function.

[0184] As an embodiment, the benefit of the above method includes that identifying an AI entity or function by the target identity simplifies the design and unifies the understanding of different AI entities or functions among multiple nodes.

[0185] As an embodiment, the target identity is a model identity.

[0186] As an embodiment, the target identity is used to identify an AI model.

[0187] As an embodiment, the target identity is used by the first node to determine an AI model.

[0188] As an embodiment, the target identity is used by the first node to determine an AI model used by the first operation.

[0189] As an embodiment, the benefit of the above method includes that identifying an AI model / entity / function by the target identity simplifies the design and unifies the understanding of different AI entities / functions among multiple nodes.

[0190] As an embodiment, the benefit of the above method includes that all serving cells in the first cell set can use the same AI model.

[0191] As an embodiment, the benefit of the above method includes that the CSI on all serving cells in the first cell set can be generated by the same AI entity.

[0192] As an embodiment, the target identity is used to identify or indicate a set of resources.

[0193] As an embodiment, the target identity is used to identify or indicate one resource set, the one resource set identified or indicated by the target identity comprises resources on each serving cell in the first cell set, the resources comprise at least one of time-frequency resources or RS resources.

[0194] As an embodiment, the target identity is used to identify or indicate one resource set, the measurement of the one resource set identified or indicated by the target identity is used to obtain a training data set.

[0195] As an embodiment, the target identity is used to identify or indicate one resource set, the one resource set identified or indicated by the target identity comprises resources on each serving cell in the first cell set, the resources comprise at least one of time-frequency resources or RS resources; the measurement of the one resource set identified or indicated by the target identity is used to obtain a training data set.

[0196] As an embodiment, the target identity is used to identify or indicate one resource set.

[0197] As an embodiment, the target identity is used to identify or indicate a training data set.

[0198] As an embodiment, the target identity is used to identify or indicate a training data set, the training data set identified or indicated by the target identity comprises training data on each serving cell in the first cell set.

[0199] As an embodiment, the benefits of the above method include that by identifying an AI training or AI training data set, the inference generated by this AI training or AI training data set is identified, consensus is established between different AI functions, and the design is further simplified.

[0200] As an embodiment, the benefits of the above method include that all serving cells in the first cell set can use the same AI model, the training data for training the same AI model comes from all serving cells in the first cell set, more accurate training data can be obtained, and the reliability and accuracy of the AI model are improved.

[0201] As an embodiment, the generation mode of the first type of CSI is AI-based, including that the generation mode of the first type of CSI is based on training.

[0202] As an embodiment, the generation mode of the first type of CSI is AI-based, including that the generation of the first type of CSI uses an AI model.

[0203] As an embodiment, the first type of CSI is generated in an AI-based manner, including that the first type of CSI comprises information based on artificial intelligence or machine learning.

[0204] As an embodiment, the first type of CSI is generated in an AI-based manner, including that the first type of CSI comprises information generated based on a neural network.

[0205] As an embodiment, the first type of CSI is generated in an AI-based manner, including that the first type of CSI comprises information generated based on a conventional neural network.

[0206] As an embodiment, the first type of CSI is generated in an AI-based manner, including that the reporting configuration of the first type of CSI indicates a first type of identifier.

[0207] As an embodiment, the first type of CSI is generated in an AI-based manner, including that the reporting configuration of the first type of CSI indicates a first type of identifier, and the generation of the first type of CSI comprises performing a first operation, the first operation being associated with the first type of identifier indicated by the reporting configuration of the first type of CSI.

[0208] As an embodiment, the first type of CSI is generated in an AI-based manner, including that the generation of the first type of CSI is associated with a first type of identifier.

[0209] As an embodiment, the generation of the first type of CSI being associated with a first type of identifier includes that the generation of the first type of CSI belongs to an AI function, and the first type of identifier is used to identify the AI function.

[0210] As an embodiment, the first type of CSI is generated in a non-AI-based manner, including that the first type of CSI does not belong to the CSI defined in the versions before and including 3GPP Rel-18.

[0211] As an embodiment, the first type of identifier is a non-negative integer.

[0212] As an embodiment, the first type of identifier is a string.

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

[0214] As an embodiment, the first type of identifier is used to identify an AI entity.

[0215] As an embodiment, the first type of identifier is used to identify an AI function.

[0216] As an embodiment, the benefits of the above method include that the AI entity or function is identified by the first type of identification, which simplifies the design and unifies the understanding of different AI entities or functions among multiple nodes.

[0217] As an embodiment, the first type of identification is a model identification.

[0218] As an embodiment, the first type of identification is used to identify an AI model.

[0219] As an embodiment, the first type of identification is used by the first node to determine an AI model.

[0220] As an embodiment, the first type of identification is used by the first node to determine the AI model used by the first operation.

[0221] As an embodiment, the benefits of the above method include that the AI model / entity / function is identified by the first type of identification, which simplifies the design and unifies the understanding of different AI entities / functions among multiple nodes.

[0222] As an embodiment, the first type of identification is used to identify or indicate a resource set.

[0223] As an embodiment, the first type of identification is used to identify or indicate a resource set, and the measurement of the resource set is used to obtain a training data set.

[0224] As an embodiment, the first type of identification is used to identify or indicate a resource set.

[0225] As an embodiment, the first type of identification is used to identify or indicate a training data set.

[0226] As an embodiment, the benefits of the above method include that the AI training or AI training data set is identified by identifying an AI training or AI training data set, which establishes a consensus among different AI functions and further simplifies the design.

[0227] As an embodiment, when the first information block is used to activate the target identification, the first information block is applied to only the first cell in the first cell set.

[0228] As an embodiment, when the first information block is used to deactivate the target identification, the first information block is applied to all serving cells in the first cell set.

[0229] As an embodiment, whether the first information block is applied to all serving cells in the first cell set is determined by the first node itself.

[0230] As an embodiment, whether the first information block is applied to all serving cells in the first cell set is implementation dependent.

[0231] As an embodiment, when the first information block is used to activate the target identity, the first information block being applied to all serving cells in the first cell set comprises: from a first time, the first information block is applied to at least one first type CSI in each serving cell in the first cell set.

[0232] As an embodiment, when the first information block is used to activate the target identity, the first information block being applied to all serving cells in the first cell set comprises: from a first time, the first information block is applied to each serving cell in the first cell set; the first time is later than a receiving time of the first information block.

[0233] As an embodiment, when the first information block is used to activate the target identity, the first information block being applied to all serving cells in the first cell set comprises: from a first time, the first information block is applied to at least one first type CSI in each serving cell in the first cell set; the first time is later than a receiving time of the first information block.

[0234] As an embodiment, when the first information block is used to activate the target identity, the first information block being applied to all serving cells in the first cell set comprises: from a first time, a first type identity associated with a generation mode of at least one first type CSI on each serving cell in the first cell set is updated to the target identity indicated by the first information block; the first time is later than a receiving time of the first information block.

[0235] As an embodiment, the first time is a time when activation or deactivation of the target identity starts to take effect.

[0236] As an embodiment, a HARQ-ACK (Hybrid Automatic Repeat request-Acknowledgement) corresponding to the first information block is sent in a first physical channel.

[0237] As an embodiment, the first physical channel comprises transmission on a PUSCH (Physical uplink shared channel).

[0238] As one embodiment, the first physical channel comprises a PUCCH (Physical uplink control channel).

[0239] Typically, the HARQ-ACK corresponding to the first information block is a positive HARQ-ACK corresponding to the first information block.

[0240] As one embodiment, the HARQ-ACK corresponding to the first information block indicates that the first information block is correctly received.

[0241] As one embodiment, the HARQ-ACK corresponding to the first information block indicates that a PDSCH scheduled by the first information block is correctly received.

[0242] As one embodiment, the HARQ-ACK corresponding to the first information block indicates that an activation command or a deactivation command carried by the first information block is correctly received.

[0243] As one embodiment, the positive HARQ-ACK corresponding to the first information block indicates that the first information block is correctly received.

[0244] As one embodiment, the positive HARQ-ACK corresponding to the first information block indicates that a PDSCH scheduled by the first information block is correctly received.

[0245] As one embodiment, the positive HARQ-ACK corresponding to the first information block indicates that an activation command or a deactivation command carried by the first information block is correctly received.

[0246] As one embodiment, the first time instant is later than the first physical channel in time domain.

[0247] As one embodiment, the first time instant is a first time slot later than a first reference time interval after a first symbol occupied by the first physical channel.

[0248] As one embodiment, the first time instant is a first time slot later than a first reference time interval after a last symbol occupied by the first physical channel.

[0249] As one embodiment, the first time instant is a first time slot later than a first reference time interval after a first symbol occupied by the first physical channel.

[0250] As an example, the first moment is the first time slot after the first reference time interval slot following the last symbol occupied by the first physical channel.

[0251] As an example, the first moment is the first time slot after the first reference time interval symbol following the last symbol occupied by the first physical channel.

[0252] As an example, the first physical channel is transmitted on time slot n, and the first moment is the first time slot after time slot m, where m is equal to n + the first reference time interval.

[0253] As an example, the first reference time interval is a positive real number.

[0254] As an example, the first reference time interval is the length of a positive integer number of symbols.

[0255] As an example, the unit of the first reference time interval is a symbol.

[0256] As an example, the unit of the first reference time interval is milliseconds.

[0257] As an example, the unit of the first reference time interval is a time slot.

[0258] As an example, the first reference time interval is the length of a positive integer number of time slots.

[0259] As an example, the first reference time interval is beamAppTime.

[0260] As one embodiment, the first reference time interval is

[0261] As a sub-implementation of the above embodiment, μ is the subcarrier spacing configuration of the first physical channel.

[0262] As a sub-implementation of the above embodiments, the It is the number of time slots included in a subframe.

[0263] As a sub-example of the above embodiment, the kmac is equal to 0, or the kmac is equal to the value of the parameter K-Mac.

[0264] As an example, the first reference time interval is reported by the first node.

[0265] As an embodiment, the first reference time interval is indicated by a capability report of the first node.

[0266] As an embodiment, the first information block indicates the first reference time interval.

[0267] As an embodiment, the symbol is a single carrier symbol.

[0268] As an embodiment, the symbol is a multi-carrier symbol.

[0269] As an embodiment, the symbol is an OFDM (Orthogonal Frequency Division Multiplexing) symbol.

[0270] As an embodiment, the symbol is an OFDM symbol generated from an output of a transform precoding.

[0271] As an embodiment, the symbol is a DFT-S-OFDM (Discrete Fourier Transform Spread OFDM) symbol.

[0272] As an embodiment, the multi-carrier symbol is an OFDM (Orthogonal Frequency Division Multiplexing) symbol.

[0273] As an embodiment, the symbol is an OFDM symbol generated from an output of a transform precoding.

[0274] As an embodiment, the symbol is an SC-FDMA (Single Carrier-Frequency Division Multiple Access) symbol.

[0275] As an embodiment, the symbol is a DFT-S-OFDM (Discrete Fourier Transform Spread OFDM) symbol.

[0276] As an embodiment, the multi-carrier symbol is an FBMC (Filter Bank Multi Carrier) symbol.

[0277] As one embodiment, the multicarrier symbol includes a CP (Cyclic Prefix).

[0278] Example 2

[0279] Embodiment 2 illustrates a schematic diagram of a network architecture according to one embodiment of the present application, as shown in FIG. 2. Figure 2

[0280] FIG. 1 illustrates a schematic diagram of a network architecture according to one embodiment of the present application, as shown in FIG. 1. Figure 2 ​A network architecture 200 is illustrated. The network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or the network architecture 200 is a 5G+ network architecture, or the network architecture 200 is a 6G network architecture, or the network architecture 200 is a network architecture adopted in 3GPP future continued evolution; the network architecture 200 can be referred to as 5GS (5G System) / EPS (Evolved Packet System), or the network architecture 200 can be referred to as 6GS (6G System); the network architecture 200 includes at least one of a UE (User Equipment) 201, a RAN (Radio Access Network) 202, a core network 210, a HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and an Internet service 230. The network architecture 200 can be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As illustrated, the network architecture 200 provides packet-switched services, however, those skilled in the art will readily appreciate that the various concepts presented throughout this application are amenable to use with networked systems including, but not limited to, other cellular networks. The RAN includes a node 203. The RAN can also include other nodes 204. The node 203 provides user and control plane protocol terminations toward the UE 201. The node 203 can be connected to the other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. The node 203 can also be referred to as a base station, a base transceiver station, a radio base station, a radio transceiver, a transceiver function, a basic service set (BSS), an extended service set (ESS), a TRP (Transmit Receive Point), or some other suitable terminology. The core network 210 is a 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is a 6GC; the node 203 provides an access point to the core network 210 for the UE 201.Examples of UE 201 include cellular phones, smart phones, session initiation protocol (SIP) phones, laptop computers, 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, aerial vehicles, narrowband internet of things devices, machine type communication devices, land vehicles, automobiles, wearable devices, or any other similar functional device. Those skilled in the art will also The node 203 is connected by an S1 / NG interface to the core network 210. The core network 210 comprises a MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, further MME / AMF / SMF 214, a 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 processes the signaling between the UE 201 and the core network 210. Generally, the MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocal) packets are transferred through the S-GW / UPF 212, which itself is connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation as well as other functions. The P-GW / UPF 213 is connected to the Internet services 230. The Internet services 230 comprise operator corresponding Internet protocol services, in particular can comprise the Internet, an intranet, an IMS (IP Multimedia Subsystem) and a packet switching service.

[0281] As one embodiment, the first node comprises the UE 201.

[0282] As one embodiment, the second node comprises the node 203.

[0283] As one example, the wireless link between the UE 201 and the node 203 comprises a cellular network link.

[0284] As one example, the sender of the reporting configuration of the first type of CSI comprises the node 203.

[0285] As one example, the receiver of the reporting configuration of the first type of CSI comprises the UE 201.

[0286] As one example, the sender of the first information block comprises the node 203.

[0287] As one example, the receiver of the first information block comprises the UE 201.

[0288] As one example, the sender of the first type of CSI comprises the UE 201.

[0289] As one example, the receiver of the first type of CSI comprises the node 203.

[0290] As one example, the sender of the first higher layer parameter comprises the node 203.

[0291] As one example, the receiver of the first higher layer parameter comprises the UE 201.

[0292] As one example, the sender of the second information block comprises the UE 201.

[0293] As one example, the receiver of the second information block comprises the node 203.

[0294] Example 3

[0295] Embodiment 3 illustrates a schematic diagram of an embodiment of a radio protocol architecture for the user plane and control plane according to one embodiment of the application, as shown in Figure 3. Figure 3

[0296] Embodiment 3 illustrates a schematic diagram of an embodiment of a radio protocol architecture for the user plane and control plane according to one embodiment of the application, as shown in Figure 3. Figure 3 Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for the user plane 350 and control plane 300, Figure 3 ​​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, is shown with three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer), which is the lowest layer, implements various PHY (Physical layer) signal processing functions. The L1 layer will be referred to as the PHY 301 herein. Layer 2 (L2 layer) 305 is above the PHY 301 and is responsible for the link between the first communication node device and the second communication node device, or between two UEs. The L2 layer 305 includes a MAC (Medium Access Control) sublayer 302, a RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which are terminated at the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sublayer 304 also provides security functions, such as ciphering / de-ciphering of the data packets, and header compression. The RLC sublayer 303 provides segmentation and reassembly of upper layer data packets, retransmission of lost data packets, and reordering of data packets to compensate for out-of-order reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating the various radio resources (e.g., resource blocks) in one cell among the UEs. The MAC sublayer 302 is also responsible for HARQ operations. The RRC (Radio Resource Control) sublayer 306 in Layer 3 (L3 layer) in the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and configuring the lower layers using RRC signaling between the second communication node device and the first communication node device. The radio protocol architecture for the user plane 350 includes Layer 1 (L1 layer) and Layer 2 (L2 layer), which are substantially the same as the corresponding layers and sublayers in the control plane 300 for the physical layer 351, the PDCP sublayer 354 in the L2 layer 355, the RLC sublayer 353 in the L2 layer 355, and the MAC sublayer 352 in the L2 layer 355 for the first communication node device and the second communication node device, but the PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead.The L2 layer 355 in the user plane 350 also includes a SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for the mapping between a QoS flow and a data radio bearer (DRB) to support the diversity of services. Although not shown, the first communication node device can have several upper layers above the L2 layer 355, including a network layer (e.g., IP layer) that terminates at a P-GW on the network side and an application layer that terminates at the other end of the connection (e.g., a remote UE, a server, etc.).

[0297] As one embodiment, the wireless protocol architecture in the first node is adapted to the first node. Figure 3 As one embodiment, the wireless protocol architecture in the second node is adapted to the second node.

[0298] As one embodiment, the wireless protocol architecture in the first node is adapted to the first node. Figure 3 As one embodiment, the wireless protocol architecture in the second node is adapted to the second node.

[0299] As one embodiment, the higher layer in the present application refers to a layer above the physical layer.

[0300] As one embodiment, the reporting configuration of the first type of CSI is generated at the RRC sublayer 306.

[0301] As one embodiment, the first information block is generated at the PHY 301 or the PHY 351.

[0302] As one embodiment, the first information block is generated at the MAC sublayer 302 or the MAC sublayer 352.

[0303] As one embodiment, the first type of CSI is generated at the PHY 301 or the PHY 351.

[0304] As one embodiment, the first type of CSI is generated at the MAC sublayer 302 or the MAC sublayer 352.

[0305] As one embodiment, the first higher layer parameter is generated at the RRC sublayer 306.

[0306] As one embodiment, the first higher layer parameter is generated at the MAC sublayer 302 or the MAC sublayer 352.

[0307] As one embodiment, the second information block is generated at the RRC sublayer 306.

[0308] As one embodiment, the second information block is generated at the MAC sublayer 302 or the MAC sublayer 352.

[0309] As an embodiment, the second information block is generated at the PHY 301 or the PHY 351.

[0310] Example 4

[0311] Embodiment 4 illustrates a schematic diagram of a first communication device and a second communication device according to an embodiment of the present application, as shown in FIG. 4. Figure 4 Figure 4 is a block diagram of a first communication device 410 and a second communication device 450 that communicate with each other in an access network.

[0312] The first communication device 410 includes a controller / processor 475, a memory 476, a receive processor 470, a transmit processor 416, a multi-antenna receive processor 472, a multi-antenna transmit processor 471, a transmitter / receiver 418, and an antenna 420.

[0313] The second communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmit processor 468, a receive processor 456, a multi-antenna transmit processor 457, a multi-antenna receive processor 458, a transmitter / receiver 454, and an antenna 452.

[0314] ​In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, upper layer packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements functionality of the L2 layer. In the DL (DownLink), the controller / processor 475 provides header compression, ciphering, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocations for the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the LI layer (i.e., physical layer). The transmit processor 416 implements coding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, and constellation mapping based on various modulation schemes (e.g., binary phase-shift keying (BPSK), quadrature phase-shift keying (QPSK), M-phase-shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The multi-antenna transmit processor 471 performs digital spatial pre-coding of the coded and modulated symbols, including codebook-based and non-codebook-based pre-coding, and beamforming processing, generating one or more parallel streams. The transmit processor 416 then maps to each parallel stream to subcarriers, multiplexes the modulated symbols with reference signals (e.g., pilot) in time domain and / or frequency domain, and then performs an inverse fast Fourier transform (IFFT) to generate a time-domain multicarrier symbol stream. The multi-antenna transmit processor 471 then performs transmit analog pre-coding / beamforming operations on the time-domain multicarrier symbol stream. Each transmitter 418 converts the baseband multicarrier symbol stream provided by the multi-antenna transmit processor 471 into a radio frequency stream, and then provides the radio frequency stream to the corresponding antenna 420.

[0315] In transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives a signal through its respective antenna 452. Each receiver 454 recovers information modulated onto an RF carrier and converts the RF stream into a baseband, multicarrier symbol stream to be provided to a receive processor 456. The receive processor 456 and a multiple access receive processor 458 implement various signal processing functions of the Ll layer. The multiple access receive processor 458 performs receive analog precoding / beamforming operations on the baseband, multicarrier symbol stream from the receivers 454. The receive processor 456 converts the baseband, multicarrier symbol stream from the receive analog precoding / beamforming operations from the time domain to the frequency domain using a Fast Fourier Transform (FFT). In the frequency domain, the physical layer data signals and the reference signals are demultiplexed by the receive processor 456, with the reference signals to be used for channel estimation and the data signals to be recovered after multi-antenna detection in the multiple access receive processor 458 for any parallel streams destined to the second communication device 450. The symbols on each parallel stream are demodulated and recovered in the receive processor 456 and generate soft decisions. The receive processor 456 then decodes and de-interleaves the soft decisions to recover the upper layer data and control signals transmitted by the first communication device 410 on the physical channels. The upper layer data and control signals are then provided to a controller / processor 459. The controller / processor 459 implements the functions of the L2 layer. The controller / processor 459 can be associated with a memory 460 that stores program codes and data. The memory 460 can be referred to as a computer-readable medium. In the DL, the controller / processor 459 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer data packets from the core network. The upper layer data packets are then provided to all protocol layers above the L2 layer. Various control signals can also be provided to the L3 for L3 processing. The controller / processor 459 is also responsible for error detection using an acknowledgement (ACK) and / or negative acknowledgement (NACK) protocol to support HARQ operations.

[0316] In the transmission from the second communication device 450 to the first communication device 410, at the second communication device 450, a data source 467 is used to provide upper layer packets to a controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmit function described at the first communication device 410 in the DL, the controller / processor 459 implements header compression, ciphering, packet segmentation and reordering, and multiplexing between logical and transport channels based on radio resource allocations for the first communication device 410, implements L2 layer functionality for the user plane and control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. A transmit processor 468, in conjunction with a multi-antenna transmit processor 457, performs modulation mapping, channel coding processing, digital multi-antenna spatial processing, including codebook-based and non-codebook-based precoding, and beamforming processing, and then the transmit processor 468 creates parallel streams of coded and modulated symbols for the different antenna ports, which are provided to different antennas 452 via separate transmitters 454 after analog precoding / beamforming at the multi-antenna transmit processor 457. Each transmitter 454 then converts the baseband streams into radio frequency signals and transmits the radio frequency signals via the antennas 452.

[0317] In the transmission from the second communication device 450 to the first communication device 410, the functionality at the first communication device 410 is similar to the functionality described in connection with the reception at the second communication device 450 in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives a radio frequency signal through its respective antenna 420, converts the received radio frequency signal into a baseband signal, and provides the baseband signal to a multi-antenna receive processor 472 and a receive processor 470. The receive processor 470 and the multi-antenna receive processor 472, in conjunction with the controller / processor 475, implement the L1 layer functions. The controller / processor 475 implements L2 layer functions. The controller / processor 475 can be associated with a memory 476 that stores program codes and data. The memory 476 can be referred to as a computer-readable medium. The controller / processor 475 provides demultiplexing between transport and logical channels, packet reassembly, deciphering, header decompression, control signal processing to recover upper layer packets from the second communication device 450. Upper layer packets from the controller / processor 475 can be provided to a core network. The controller / processor 475 is also responsible for error detection using an ACK and / or NACK protocol to support HARQ operations.

[0318] As one embodiment, the second communication device 450 comprises: receiving a reporting configuration of at least one first type of CSI on a first cell set, the first cell set comprising a plurality of serving cells, the first type of CSI being generated based on an AI, the first type of CSI being associated to a first type of identification; receiving a first information block, the first information block being used to activate or deactivate a target identification, the target identification being one of the first type of identification; wherein whether the first information block is applied to all serving cells in the first cell set depends on whether the first information block is used to activate or deactivate the target identification; when the first information block is used to activate the target identification, the first information block is applied to all serving cells in the first cell set; when the first information block is used to deactivate the target identification, the first information block is applied to only a first cell, the first cell depending on the first information block, the first cell being one of the serving cells in the first cell set.

[0319] As one embodiment, the second communication device 450 comprises: a memory storing a program of computer readable instructions to produce actions when executed by at least one processor, the actions comprising: receiving a reporting configuration of at least one first type of CSI on a first cell set, the first cell set comprising a plurality of serving cells, the first type of CSI being generated based on an AI, the first type of CSI being associated to a first type of identification; receiving a first information block, the first information block being used to activate or deactivate a target identification, the target identification being one of the first type of identification; wherein whether the first information block is applied to all serving cells in the first cell set depends on whether the first information block is used to activate or deactivate the target identification; when the first information block is used to activate the target identification, the first information block is applied to all serving cells in the first cell set; when the first information block is used to deactivate the target identification, the first information block is applied to only a first cell, the first cell depending on the first information block, the first cell being one of the serving cells in the first cell set.

[0320] As one embodiment, the first communication device 410 comprises: at least one processor and at least one memory including a computer program code; the at least one memory and the computer program code are configured to, with the at least one processor, cause the first communication device 410 to perform the following actions. The first communication device 410 is caused to perform the following actions: transmitting a reporting configuration of at least one first type of CSI on a first cell set, the first cell set comprising a plurality of serving cells, the first type of CSI being generated based on an AI, the first type of CSI being associated to a first type of identity; transmitting a first information block, the first information block being used to activate or deactivate a target identity, the target identity being one of the first type of identity; wherein whether the first information block is applied to all serving cells in the first cell set depends on whether the first information block is used to activate or deactivate the target identity; when the first information block is used to activate the target identity, the first information block is applied to all serving cells in the first cell set; when the first information block is used to deactivate the target identity, the first information block is applied to only a first cell, the first cell depending on the first information block, the first cell being one of the serving cells in the first cell set.

[0321] As one embodiment, the first communication device 410 comprises: a memory storing a program of computer readable instructions to produce actions when executed by at least one processor, the actions comprising: transmitting a reporting configuration of at least one first type of CSI on a first cell set, the first cell set comprising a plurality of serving cells, the first type of CSI being generated based on an AI, the first type of CSI being associated to a first type of identity; transmitting a first information block, the first information block being used to activate or deactivate a target identity, the target identity being one of the first type of identity; wherein whether the first information block is applied to all serving cells in the first cell set depends on whether the first information block is used to activate or deactivate the target identity; when the first information block is used to activate the target identity, the first information block is applied to all serving cells in the first cell set; when the first information block is used to deactivate the target identity, the first information block is applied to only a first cell, the first cell depending on the first information block, the first cell being one of the serving cells in the first cell set.

[0322] As one embodiment, the first node in the present application comprises the second communication device 450.

[0323] As one embodiment, the second node in the present application comprises the first communication device 410.

[0324] As an embodiment, at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is configured to receive the first information block; at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, the memory 476} is configured to transmit the first information block.

[0325] As an embodiment, at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is configured to receive the first information block; at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, the memory 476} is configured to transmit the first information block.

[0326] As an embodiment, at least one of {the antenna 420, the receiver 418, the receive processor 470, the multi-antenna receive processor 472, the controller / processor 475, the memory 476} is configured to receive the first type of CSI; at least one of {the antenna 452, the transmitter 454, the transmit processor 468, the multi-antenna transmit processor 457, the controller / processor 459, the memory 460, the data source 467} is configured to transmit the first type of CSI.

[0327] As an embodiment, at least one of {the antenna 452, the receiver 454, the receive processor 456, the multi-antenna receive processor 458, the controller / processor 459, the memory 460, the data source 467} is configured to receive the first higher layer parameter; at least one of {the antenna 420, the transmitter 418, the transmit processor 416, the multi-antenna transmit processor 471, the controller / processor 475, the memory 476} is configured to transmit the first higher layer parameter.

[0328] As an embodiment, at least one of {the antenna 420, the receiver 418, the reception processor 470, the multi-antenna reception processor 472, the controller / processor 475, the memory 476} is configured to receive the second information block; at least one of {the antenna 452, the transmitter 454, the transmission processor 468, the multi-antenna transmission processor 457, the controller / processor 459, the memory 460, the data source 467} is configured to transmit the second information block.

[0329] Example 5

[0330] Embodiment 5 illustrates a flowchart of a transmission between a first node and a second node according to an embodiment of the present application; as shown in FIG. 5. In FIG. 5, the second node U1 and the first node U2 are communication nodes for a transmission over an air interface. In FIG. 5, the steps in the blocks F51 to F54 are optional respectively. Figure 5 In FIG. 5, the second node U1 and the first node U2 are communication nodes for a transmission over an air interface. In FIG. 5, the steps in the blocks F51 to F54 are optional respectively. Figure 5 In FIG. 5, the second node U1 and the first node U2 are communication nodes for a transmission over an air interface. In FIG. 5, the steps in the blocks F51 to F54 are optional respectively. Figure 5 In FIG. 5, the second node U1 and the first node U2 are communication nodes for a transmission over an air interface. In FIG. 5, the steps in the blocks F51 to F54 are optional respectively.

[0331] For the second node U1, the second information block is received in step S511; the first higher layer parameter is transmitted in step S512; the reporting configuration of the at least one first type of CSI is transmitted in step S5101; the first information block is transmitted in step S5102; the first type of CSI is received in step S513.

[0332] For the first node U2, the second information block is transmitted in step S521; the first higher layer parameter is received in step S522; the reporting configuration of the at least one first type of CSI is received in step S5201; the first information block is received in step S5202; the first operation is performed in step S523; the first type of CSI is transmitted in step S524.

[0333] In Embodiment 5, the first cell set comprises a plurality of serving cells, the first type of CSI is generated based on an AI, the generation manner of the first type of CSI is associated to a first type of identification; the first information block is used to activate or deactivate a target identification, the target identification is one of the first type of identification; whether the first information block is applied to all serving cells in the first cell set depends on whether the first information block is used to activate or deactivate the target identification; when the first information block is used to activate the target identification, the first information block is applied to all serving cells in the first cell set; when the first information block is used to deactivate the target identification, the first information block is applied to only a first cell, the first cell depends on the first information block, the first cell is one of the serving cells in the first cell set.

[0334] As one embodiment, the first node U2 is the first node in the present application.

[0335] As one embodiment, the second node U1 is the second node in the present application.

[0336] As one embodiment, the air interface between the second node U1 and the first node U2 comprises a wireless interface between a base station device and a user equipment.

[0337] As one embodiment, the air interface between the second node U1 and the first node U2 comprises a wireless interface between a relay node device and a user equipment.

[0338] As one embodiment, the air interface between the second node U1 and the first node U2 comprises a wireless interface between a user equipment and a user equipment.

[0339] As one embodiment, the second node U1 is a serving cell maintaining base station of the first node U2.

[0340] As one embodiment, the step in block F51 in the method in the first node for wireless communication exists; the method in the first node for wireless communication comprises: receiving the second information block. Figure 5 As one embodiment, the step in block F51 in the method in the second node for wireless communication exists; the method in the second node for wireless communication comprises: transmitting the second information block.

[0341] Figure 5 As one embodiment, the step in block F52 in the method in the first node for wireless communication exists; the method in the first node for wireless communication comprises: receiving the first higher layer parameter.

[0342] As one embodiment, the step in block F52 in the method in the second node for wireless communication exists; the method in the second node for wireless communication comprises: transmitting the first higher layer parameter. Figure 5 As one embodiment, the step in block F53 in the method in the first node for wireless communication exists; the method in the first node for wireless communication comprises: performing the first operation.

[0343] Figure 5 As one embodiment, the step in block F53 in the method in the second node for wireless communication exists; the method in the second node for wireless communication comprises: receiving the first operation.

[0344] As one embodiment, the step in block F54 in the method in the first node for wireless communication exists; the method in the first node for wireless communication comprises: transmitting the first type of CSI. Figure 5 As one embodiment, the step in block F54 in the method in the second node for wireless communication exists; the method in the second node for wireless communication comprises: receiving the first type of CSI.

[0345] Figure 5 As one embodiment, the step in block F55 in the method in the first node for wireless communication exists; the method in the first node for wireless communication comprises: receiving the first type of CSI.

[0346] As one embodiment, the step in block F55 in the method in the second node for wireless communication exists; the method in the second node for wireless communication comprises: transmitting the first type of CSI. Figure 5 ​​​The steps in block F54 in the method in the first node for wireless communication exist; the method in the second node for wireless communication includes: receiving the first type of CSI.

[0347] As one embodiment, the first information block is transmitted on a PDSCH (Physical Downlink Shared Channel). Figure 5 The steps in block F54 in the method in the first node for wireless communication exist; the method in the first node for wireless communication includes: transmitting at least one first type of CSI on the first set of cells.

[0348] As one embodiment, the first information block is transmitted on a PDSCH (Physical Downlink Shared Channel). Example 6 The steps in block F54 in the method in the second node for wireless communication exist; the method in the second node for wireless communication includes: receiving at least one first type of CSI on the first set of cells.

[0349] As one embodiment, the reporting configuration of the first type of CSI is transmitted on a PDSCH (Physical Downlink Shared Channel).

[0350] As one embodiment, the first information block is transmitted on a PDSCH (Physical Downlink Shared Channel).

[0351] As one embodiment, the first information block is transmitted on a PDCCH (Physical Downlink Control Channel).

[0352] As one embodiment, the first type of CSI is transmitted on a PUCCH (Physical Uplink Control Channel).

[0353] As one embodiment, the first type of CSI is transmitted on a PUSCH (Physical Uplink Shared Channel).

[0354] As one embodiment, the first higher layer parameter is transmitted on a PDSCH (Physical Downlink Shared Channel).

[0355] As one embodiment, the second information block is transmitted on a PUCCH (Physical Uplink Control Channel).

[0356] As one embodiment, the second information block is transmitted on a PUSCH (Physical Uplink Shared Channel).

[0357] As one embodiment, the reception of the second information block is earlier than the transmission of the first information block.

[0358] As one embodiment, the reception of the second information block is earlier than the transmission of the first higher layer parameter.

[0359] As one embodiment, the reception of the second information block is earlier than the transmission of the reporting configuration of the first type of CSI.

[0360] As one embodiment, the reception of the second information block is not earlier than the transmission of the reporting configuration of the first type of CSI.

[0361] As one embodiment, the first higher layer parameter is earlier than the reporting configuration of the first type of CSI.

[0362] As one embodiment, the first higher layer parameter is not earlier than the reporting configuration of the first type of CSI.

[0363] As one embodiment, the reception of the first information block is earlier than the first node performing the first operation.

[0364] Figure 6

[0365] Embodiment 6 illustrates a schematic diagram of a first information block being used to activate a target identity according to one embodiment of the present application; as shown in FIG. 6. In Embodiment 6, when the first information block is used to activate the target identity, the first information block being applied to all serving cells in the first cell set comprises: the first type identity associated with the generation manner of at least one first type of CSI on each serving cell in the first cell set being updated to the target identity. Example 7

[0366] As one embodiment, when the first information block is used to activate the target identity, the first information block being applied to all serving cells in the first cell set comprises: from a first time, the first type identity associated with the generation manner of at least one first type of CSI on each serving cell in the first cell set being updated to the target identity.

[0367] ​As one embodiment, when the first information block is used to activate the target identity, the first information block being applied to all serving cells in the first cell set comprises: from a first time, the first type identity associated with the generation manner of at least one first type CSI on each serving cell in the first cell set is updated to the target identity; the first time is later than the receiving time of the first information block.

[0368] As one embodiment, the first type identity being updated to the target identity comprises: the value of the first type identity is equal to the value of the target identity.

[0369] As one embodiment, the first type identity being updated to the target identity comprises: the first type identity is the target identity.

[0370] As one embodiment, the first type identity being updated to the target identity comprises: the first type identity is set to the target identity.

[0371] As one embodiment, the first type identity being updated to the target identity comprises: the first node assumes the first type identity is the target identity.

[0372] Figure 7

[0373] Embodiment 7 illustrates a schematic diagram of a first information block being used to deactivate a target identity according to one embodiment of the present application; as shown in FIG. 7. In embodiment 7, when the first information block is used to deactivate the target identity, the first information block being applied to only the first cell in the first cell set comprises: the first type CSI on only the first cell in the first cell set satisfying a first condition is abandoned to be sent or is not updated, the first condition comprising the associated first type identity being the target identity. Example 8

[0374] As one embodiment, when the first information block is used to deactivate the target identity, the first information block being applied to only the first cell in the first cell set comprises: from a first time, the first type CSI on only the first cell in the first cell set satisfying a first condition is abandoned to be sent or is not updated, the first condition comprising the associated first type identity being the target identity.

[0375] ​As one embodiment, the first information block is applied to only the first cell when the first information block is used to deactivate the target identity comprises: the first type CSI on only the first cell in the first cell set that satisfies a first condition is dropped from being transmitted or not updated starting from a first time instant, the first condition comprising the associated first type identity being the target identity; the first time instant being later than a reception time instant of the first information block.

[0376] As one embodiment, the first information block is applied to only the first cell when the first information block is used to deactivate the target identity comprises: the first type identity associated with a manner of generating the first type CSI on all serving cells other than the first cell in the first cell set is unchanged.

[0377] As one embodiment, the first information block is applied to only the first cell when the first information block is used to deactivate the target identity comprises: the first type CSI on only the first cell in the first cell set that satisfies a first condition is dropped from being transmitted, the first condition comprising the associated first type identity being the target identity.

[0378] As one embodiment, the first information block is applied to only the first cell when the first information block is used to deactivate the target identity comprises: the first type CSI on only the first cell in the first cell set that satisfies a first condition is not updated, the first condition comprising the associated first type identity being the target identity.

[0379] As one embodiment, the first information block is applied to only the first cell when the first information block is used to deactivate the target identity comprises: the first type CSI on only the first cell in the first cell set that satisfies a first condition is not updated, the first condition comprising the associated first type identity being the target identity.

[0380] As one embodiment, the first type CSI not being updated comprises the first node not being expected to update the first type CSI.

[0381] As one embodiment, the first type CSI not being updated comprises whether the first type CSI is actually updated being self-determined by the first node or implementation dependent.

[0382] As one embodiment, the first type CSI not being updated comprises the first type CSI not being valid.

[0383] As one embodiment, the first type of CSI not being updated comprises: the first type of CSI not being updated based on a previous latest reporting of the CSI reporting configuration for it.

[0384] As one embodiment, the first type of CSI not being updated comprises: the first type of CSI being identical to a previous latest reported CSI of the CSI reporting configuration for it.

[0385] As one embodiment, the first type of CSI not being updated comprises: the first type of CSI being independent of a measurement of a latest RS occasion of a RS resource set for channel or interference measurement of the first type of CSI no later than a CSI reference resource of the first type of CSI.

[0386] As one embodiment, the first type of CSI not being updated comprises: the first type of CSI being independent of a measurement of a latest RS occasion of a RS resource set for channel or interference measurement of the first type of CSI no later than a CSI reference resource of the first type of CSI.

[0387] As one embodiment, the first type of CSI not being updated comprises: the first type of CSI not being updated based on a measurement of a latest RS occasion of a RS resource set for channel or interference measurement of the first type of CSI no later than a CSI reference resource of the first type of CSI.

[0388] Figure 8

[0389] Embodiment 8 illustrates a diagram of a second type of CSI according to one embodiment of the present application; as shown in FIG. 8. In Embodiment 8, the first information block being applied to only first cells when the first information block is used to deactivate the target identity comprises: the first type of CSI on only the first cells of the first cell set satisfying a first condition being updated to a second type of CSI, the second type of CSI being generated in a manner not based on AI, the first condition comprising the associated first type of identity being the target identity. Example 9

[0390] As one embodiment, the first information block being applied to only first cells when the first information block is used to deactivate the target identity comprises: from a first time instance, the first type of CSI on only the first cells of the first cell set satisfying a first condition being updated to a second type of CSI, the second type of CSI being generated in a manner not based on AI, the first condition comprising the associated first type of identity being the target identity; the first time instance being later than a reception time instance of the first information block.

[0391] ​As an embodiment, the second type of CSI is generated in a manner that is not based on AI includes that the second type of CSI is generated without using an AI model.

[0392] As an embodiment, the second type of CSI is generated in a manner that is not based on AI includes that the second type of CSI does not include information based on artificial intelligence or machine learning.

[0393] As an embodiment, the second type of CSI is generated in a manner that is not based on AI includes that the second type of CSI does not include information generated based on a neural network.

[0394] As an embodiment, the second type of CSI is generated in a manner that is not based on AI includes that the second type of CSI does not include information generated based on a CNN.

[0395] As an embodiment, the second type of CSI is generated in a manner that is not based on AI includes that the generation of the second type of CSI does not include the target receiver of the reporting configuration of the at least one first type of CSI performing the first operation.

[0396] As an embodiment, the second type of CSI is generated in a manner that is not based on AI includes that the generation of the second type of CSI is not associated to a first type of identification.

[0397] As an embodiment, the second type of CSI is generated in a manner that is not based on AI includes that the second type of CSI belongs to CSI defined in 3GPP Rel-18 and before.

[0398] Figure 9

[0399] Embodiment 9 illustrates a schematic diagram of a first cell depending on a first information block according to an embodiment of the present application; as shown in FIG. 9. In Embodiment 9, the first information block indicates the first cell. Example 10

[0400] As an embodiment, the first information block explicitly indicates the first cell.

[0401] As an embodiment, the first information block implicitly indicates the first cell.

[0402] As an embodiment, the cell indicated by the first information block includes only the first cell.

[0403] As an embodiment, the first information block includes a first field, the first field including at least one bit, the first field in the first information block indicating the first cell.

[0404] ​As an embodiment, the first information block comprises a first field, the first field in the first information block indicates a cell index, the first cell is identified by the cell index.

[0405] As an embodiment, the first information block comprises a first field, the first field in the first information block comprises a cell index, the first cell is identified by the cell index.

[0406] As an embodiment, the cell index comprises at least one of ServCellIndex or SCellIndex.

[0407] As an embodiment, the first information block comprises a first field, the first field in the first information block is used to indicate the first cell from the first cell set.

[0408] Figure 10

[0409] Embodiment 10 illustrates a schematic diagram of a first cell depending on a first information block according to another embodiment of the present application; as shown in FIG. 10. Example 11 In embodiment 10, the first cell is a serving cell where a physical channel carrying the first information block is located.

[0410] As an embodiment, the first cell being a serving cell where a physical channel carrying the first information block is located comprises: the first information block is transmitted on the first cell.

[0411] As an embodiment, the first cell being a serving cell where a physical channel carrying the first information block is located comprises: the physical channel carrying the first information block belongs to the first cell.

[0412] As an embodiment, the first cell being a serving cell where a physical channel carrying the first information block is located comprises: a RB (Resource Block) occupied by the physical channel carrying the first information block belongs to the first cell.

[0413] As an embodiment, the first cell being a serving cell where a physical channel carrying the first information block is located comprises: a BWP (Bandwidth Part) occupied by the physical channel carrying the first information block belongs to the first cell.

[0414] As an embodiment, the physical channel carrying the first information block is a PDCCH.

[0415] As an embodiment, the physical channel carrying the first information block is a PDSCH.

[0416] Figure 11

[0417] Embodiment 11 illustrates a diagram of a first resource set and a second resource set according to one embodiment of the present application; as shown in FIG. 11. In Embodiment 11, the reporting configuration of the first type of CSI indicates a first resource set, the first resource set is used for at least one of channel measurement or interference measurement, the first resource set includes one or more RS resources; the first type of CSI indicates at least one resource in a second resource set, the second resource set includes resources not belonging to the first resource set. Example 12

[0418] As one embodiment, the reporting configuration of the first type of CSI indicates a first resource set, the first resource set is used for channel measurement, the first type of CSI includes at least RSRP.

[0419] As one embodiment, the reporting configuration of the first type of CSI includes one CSI resource configuration, the one CSI resource configuration is used to indicate the first resource set.

[0420] As one sub-embodiment of the above-mentioned embodiment, the one CSI resource configuration is an IE CSI-ResourceConfig.

[0421] As one sub-embodiment of the above-mentioned embodiment, the reporting configuration of the first type of CSI includes a resourcesForChannelMeasurement field, the resourcesForChannelMeasurement field included in the reporting configuration of the first type of CSI indicates the one CSI resource configuration.

[0422] As one embodiment, the reporting configuration of the first type of CSI includes multiple CSI resource configurations, one CSI resource configuration in the multiple CSI resource configurations is used to indicate the first resource set.

[0423] As one embodiment, one CSI resource configuration used to configure the first resource set includes an identification or an index of each RS resource in the first resource set.

[0424] As one embodiment, one CSI resource configuration used to configure the first resource set includes an identification of each RS resource in the first resource set.

[0425] As one embodiment, one CSI resource configuration used to configure the first resource set is used to configure each RS resource in the first resource set.

[0426] ​As an embodiment, a CSI resource configuration used for configuring the first resource set includes configuration information of each RS resource in the first resource set.

[0427] As an embodiment, the reporting configuration of the first type of CSI includes a resourcesForChannelMeasurement field, and the resourcesForChannelMeasurement field included in the reporting configuration of the first type of CSI is used to indicate the first resource set.

[0428] As an embodiment, the resources in the first resource set include at least one of an antenna port, a TCI (Transmission Configuration Indication) state, QCL (Quasi Co-Location) information, a time-frequency resource, a time-frequency code resource, a beam, an RS resource, a vector, or a matrix.

[0429] As an embodiment, the first resource set includes one or more RS (Reference Signal) resource sets, and one RS resource set includes one or more RS resources.

[0430] As an embodiment, the first resource set includes at least one of at least one CSI-RS resource set, at least one CSI-SSB (Channel State Information-Synchronization Signal Block) resource set, or at least one CSI-IM (Channel State Information-Interference Measurement) resource set.

[0431] As an embodiment, the first resource set includes at least one RS resource set for channel measurement, and one RS resource set for channel measurement includes one or more RS resources.

[0432] As an 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; one RS resource set for channel measurement includes one or more RS resources, and one RS resource set for interference measurement includes one or more RS resources.

[0433] As an embodiment, the first resource set includes at least one RS resource set for interference measurement; one RS resource set for interference measurement includes one or more RS resources.

[0434] As an embodiment, the first resource set comprises one or more RS resources.

[0435] As an embodiment, the first resource set comprises one or more RS resources.

[0436] As an embodiment, the first resource set comprises one or more RS resources.

[0437] As an embodiment, the first resource set comprises one or more RS resources.

[0438] As an embodiment, the first resource set comprises one or more RS resources.

[0439] As an embodiment, the first resource set comprises one or more RS resources.

[0440] As an embodiment, the first resource set comprises one or more RS resources.

[0441] As an embodiment, the first resource set comprises one or more RS resources.

[0442] As an embodiment, the first resource set comprises one or more RS resources.

[0443] As an embodiment, the first resource set comprises one or more RS resources.

[0444] As an embodiment, the first resource set comprises one or more RS resources.

[0445] As an embodiment, a resource configuration is used to configure a CSI resource.

[0446] As one embodiment, one resource configuration is one IE CSI-ResourceConfig.

[0447] As one embodiment, one resource configuration is carried by RRC IE.

[0448] As one embodiment, one resource configuration is carried by CSI-ResourceConfig IE.

[0449] As one embodiment, the reporting configuration of the first type of CSI indicates configuration information of the first resource set.

[0450] As one embodiment, the reporting configuration of the first type of CSI indicates an identity of the first resource set.

[0451] As one embodiment, the first resource set is used for channel measurement of the first type of CSI, and any RS resource in the first resource set used for the channel measurement of the first type of CSI is a CSI-RS resource or a synchronization signal resource.

[0452] As one embodiment, the first resource set is used for interference measurement of the first type of CSI, and any RS resource in the first resource set used for the interference measurement of the first type of CSI is a CSI-IM resource or a NZP (non-zero power) CSI-RS resource for interference measurement.

[0453] As one embodiment, the first type of CSI includes at least RSRP.

[0454] As one embodiment, the reporting configuration of the first type of CSI indicates a first resource set, the first resource set is used for channel measurement of the first type of CSI, and the first type of CSI includes at least RSRP.

[0455] As one embodiment, the reporting configuration of the first type of CSI includes a resourcesForChannelMeasurement field, the resourcesForChannelMeasurement field included in the reporting configuration of the first type of CSI is used to indicate the first resource set, the first resource set is used for channel measurement of the first type of CSI, and the first type of CSI includes at least RSRP.

[0456] As one embodiment, the first type of CSI includes at least one CSI report.

[0457] As one embodiment, the first type of CSI includes predicted channel information.

[0458] As one embodiment, the first type of CSI includes predicted beam information.

[0459] As one embodiment, the first type of CSI includes at least one of CQI (Channel Quality Indicator), PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), SS / PBCH Block Resource indicator (SSBRI), Layer Indicator (LI), RI (Rank Indicator), L1-RSRP (Layer 1 reference signal received power), or L1-SINR (Layer 1 signal-to-noise and interference ratio).

[0460] As one embodiment, the first type of CSI includes one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, and TDCP.

[0461] As one embodiment, the first type of CSI includes a channel matrix.

[0462] As one embodiment, the first type of CSI includes an eigenvector.

[0463] As one embodiment, the first type of CSI includes an eigenvector and an eigenvalue.

[0464] As one embodiment, the first type of CSI includes precoding information.

[0465] As one embodiment, the first type of CSI includes non-codebook-based precoding information.

[0466] As one embodiment, the first type of CSI is used to determine at least one precoding matrix.

[0467] As one embodiment, the first type of CSI indicates at least one precoding matrix.

[0468] As one embodiment, the precoding matrix is spatial-frequency domain.

[0469] As one embodiment, the precoding matrix is angular-delay domain projected.

[0470] As one embodiment, the first type of CSI comprises information of relative phase, amplitude and / or coefficients among multiple antenna ports.

[0471] As one embodiment, the first type of CSI comprises compressed CSI.

[0472] As one embodiment, the first type of CSI comprises predicted / estimated CSI.

[0473] As one embodiment, the first node is not required to measure the second set of resources.

[0474] As one embodiment, the first set of resources is used for measurement and the second set of resources is used for prediction.

[0475] As one embodiment, only the first set of resources among the first set of resources and the second set of resources is used for measurement.

[0476] As one embodiment, only the first set of resources among the first set of resources and the second set of resources is used for measurement comprises that only the first set of resources among the first set of resources and the second set of resources is used for measurement by the first node.

[0477] As one embodiment, only the first set of resources among the first set of resources and the second set of resources is used for measurement comprises that the first set of resources is used for measurement by the first node and the first node is not required to measure the second set of resources.

[0478] As one embodiment, the first type of CSI is generated in an AI-based manner and the first node is not required to measure the second set of resources.

[0479] As one embodiment, the first type of CSI is generated in an AI-based manner, the first set of resources is used for measurement and the second set of resources is used for prediction.

[0480] As one embodiment, the first type of CSI is generated in an AI-based manner, the first set of resources is used for measurement and the second set of resources is used for prediction.

[0481] As one embodiment, the first type of CSI is generated in an AI-based manner, only the first set of resources among the first set of resources and the second set of resources is used for measurement.

[0482] As one embodiment, the first resource set and only the first resource set of the second resource set being used for measurement comprises: only the first resource set of the first resource set and the second resource set being used for measurement by the first node.

[0483] As one embodiment, the first resource set and only the first resource set of the second resource set being used for measurement comprises: the first resource set being used for measurement by the first node, the first node not being required to measure part or all of the second resource set.

[0484] As one embodiment, the first node not being required to measure the second resource set comprises: the first node not measuring part or all of the second resource set.

[0485] As one embodiment, the first node not being required to measure the second resource set comprises: whether the first node measures part or all of the second resource set being implementation dependent or self-determined by the first node.

[0486] As one embodiment, the second resource set comprises resources other than the first resource set.

[0487] As one embodiment, the first resource set comprises one or more RS resources, the second resource set comprises one or more RS resources, the second resource set comprising RS resources other than the first resource set.

[0488] As one embodiment, the first resource set comprises a number of resources less than a number of resources comprised by the second resource set.

[0489] As one embodiment, the first resource set comprises a number of RS resources less than a number of RS resources comprised by the second resource set.

[0490] As one embodiment, the second resource set comprises resources not belonging to the first resource set.

[0491] As one embodiment, the second resource set comprises antenna ports not belonging to the first resource set.

[0492] As one embodiment, the second resource set comprises resources not belonging to the first resource set, the resources in the second resource set comprising at least one of: antenna ports, TCI states, QCL information, frequency resources, time-frequency code resources, beams, RS resources, vectors, or matrices.

[0493] As one embodiment, the second resource set comprises at least one RS resource.

[0494] As one embodiment, the second resource set comprises at least one beam.

[0495] As one embodiment, the second resource set comprises one or more beams.

[0496] As one embodiment, the second resource set comprises one or more vectors.

[0497] As one embodiment, the second resource set comprises one or more matrices.

[0498] As one embodiment, the second resource set comprises one or more codebooks.

[0499] As one embodiment, the second resource set comprises one or more DFT vectors.

[0500] As one embodiment, the second resource set comprises one or more DFT codebooks.

[0501] As one embodiment, the second resource set comprises one or more antenna ports.

[0502] As one embodiment, the second resource set comprises at least one training dataset.

[0503] As one embodiment, the second resource set is used for training an AI model.

[0504] As one embodiment, the second resource set comprises one or more RS (Reference Signal) resource sets, one RS resource set comprising one or more RS resources.

[0505] As one embodiment, the second resource set comprises at least one of at least one CSI-RS (Channel State Information-Reference Signal) 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.

[0506] As one embodiment, the second resource set comprises at least one RS resource set for channel measurement, one RS resource set for channel measurement comprising one or more RS resources.

[0507] As an embodiment, the second resource set comprises at least one RS resource set for channel measurement and at least one RS resource set for interference measurement; one RS resource set for channel measurement comprises one or more RS resources, and one RS resource set for interference measurement comprises one or more RS resources.

[0508] As an embodiment, the second resource set comprises at least one RS resource set for interference measurement; one RS resource set for interference measurement comprises one or more RS resources.

[0509] As an embodiment, the second resource set comprises one or more RS resources.

[0510] As an embodiment, the second resource set comprises one or more downlink RS resources.

[0511] As an embodiment, the second resource set comprises one or more RS resources, and any RS resource in the second resource set is a CSI-RS (Channel State Information Reference Signal) resource or a synchronization signal resource.

[0512] As an embodiment, the reporting configuration of the first type of CSI indicates at least one resource configuration, and the at least one resource configuration indicates the second resource set.

[0513] As an embodiment, the reporting configuration of the first type of CSI comprises at least one resource configuration, and the at least one resource configuration indicates the second resource set.

[0514] As an embodiment, the reporting configuration of the first type of CSI indicates at least one resource configuration, and the at least one resource configuration indicates the first resource set and the second resource set.

[0515] As an embodiment, the reporting configuration of the first type of CSI comprises at least one resource configuration, and the at least one resource configuration indicates the first resource set and the second resource set.

[0516] As an embodiment, the reporting configuration of the first type of CSI indicates one resource configuration, and the one resource configuration indicates the first resource set and the second resource set.

[0517] As an embodiment, the reporting configuration of the first type of CSI indicates two resource configurations, and the two resource configurations respectively indicate the first resource set and the second resource set.

[0518] As an embodiment, the reporting configuration of the first type of CSI indicates configuration information of the second resource set.

[0519] As an embodiment, the reporting configuration of the first type of CSI indicates an identity of the second resource set.

[0520] As an embodiment, the reporting configuration of the first type of CSI is used to indicate the second resource set from a reference resource set.

[0521] As an embodiment, the reporting configuration of the first type of CSI indicates a first type of identity, and the second resource set depends on the first type of identity.

[0522] As an embodiment, the second resource set depending on the first type of identity comprises that the first type of identity is used to identify the second resource set.

[0523] As an embodiment, the second resource set depending on the first type of identity comprises that the first type of identity is used to identify a reference resource set, and the reference resource set comprises the second resource set.

[0524] As an embodiment, the second resource set depending on the first type of identity comprises that the first type of identity is used to identify a reference resource set, and the reference resource set comprises the second resource set, and the reporting configuration of the first type of CSI is used to indicate the second resource set from the reference resource set.

[0525] As an embodiment, the information other than the reporting configuration of the first type of CSI indicating the second resource set comprises a higher layer parameter.

[0526] As an embodiment, the information other than the reporting configuration of the first type of CSI indicating the second resource set comprises an RRC parameter.

[0527] As an embodiment, the information other than the reporting configuration of the first type of CSI indicating the second resource set comprises part or all fields of an RRC IE.

[0528] As an embodiment, the information other than the reporting configuration of the first type of CSI indicating the second resource set comprises a MAC CE.

[0529] As an embodiment, the information other than the reporting configuration of the first type of CSI indicating the second resource set comprises DCI (downlink control information).

[0530] As an embodiment, the first type of CSI indicates at least one resource in a second resource set, the second resource set including resources not belonging to the first resource set.

[0531] As an embodiment, the first type of CSI is generated in an AI-based manner, and the first type of CSI indicates at least one resource in a second resource set, the second resource set including resources not belonging to the first resource set.

[0532] As an embodiment, whether the resource indicated by the first type of CSI belongs to the first resource set depends on whether the first type of CSI is generated in an AI-based manner; when the first type of CSI is generated in an AI-based manner, the resource indicated by the first type of CSI belongs to a second resource set, the second resource set including resources not belonging to the first resource set; when the first type of CSI is not generated in an AI-based manner, the resource indicated by the first type of CSI belongs to the first resource set.

[0533] As an embodiment, whether the RS resource indicated by the first type of CSI belongs to the first resource set depends on whether the first type of CSI is generated in an AI-based manner; when the first type of CSI is generated in an AI-based manner, the RS resource indicated by the first type of CSI belongs to a second resource set, the second resource set including RS resources not belonging to the first resource set; only when the first type of CSI is not generated in an AI-based manner, the RS resource indicated by the first type of CSI belongs to the first resource set.

[0534] As an embodiment, the first type of CSI indicates at least one resource in the second resource set.

[0535] As an embodiment, the second resource set includes at least one RS resource; and the first type of CSI indicating at least one resource in the second resource set includes the first type of CSI indicating at least one RS resource in the second resource set.

[0536] As an embodiment, the second resource set includes at least one beam; and the first type of CSI indicating at least one resource in the second resource set includes the first type of CSI indicating at least one beam in the second resource set.

[0537] As an embodiment, the second resource set includes one or more beams; and the first type of CSI indicating at least one resource in the second resource set includes the first type of CSI indicating at least one beam in the second resource set.

[0538] As an embodiment, the second resource set comprises one or more vectors; the first type of CSI indicates at least one resource in the second resource set comprises: the first type of CSI indicates at least one vector in the second resource set.

[0539] As an embodiment, the second resource set comprises one or more matrices; the first type of CSI indicates at least one resource in the second resource set comprises: the first type of CSI indicates at least one matrix in the second resource set.

[0540] As an embodiment, the second resource set comprises one or more DFT vectors; the first type of CSI indicates at least one resource in the second resource set comprises: the first type of CSI indicates at least one DFT vector in the second resource set.

[0541] As an embodiment, the second resource set comprises one or more codebooks; the first type of CSI indicates at least one resource in the second resource set comprises: the first type of CSI indicates at least one codebook in the second resource set.

[0542] As an embodiment, the second resource set comprises one or more antenna ports; the first type of CSI indicates at least one resource in the second resource set comprises: the first type of CSI indicates at least one antenna port in the second resource set.

[0543] Figure 12

[0544] Embodiment 12 illustrates a schematic diagram of the relationship between the first operation and the first type of CSI according to an embodiment of the present application; as shown in FIG. 12. In Embodiment 12, the reporting configuration of the first type of CSI indicates a first resource set, the first resource set is used for at least one of channel measurement or interference measurement, the first resource set comprises one or more RS resources; the generation manner of the first type of CSI comprises: the first node or the target receiver of the reporting configuration of the at least one first type of CSI performs a first operation, the input of the first operation depends on the measurement based on the first resource set, and the first type of CSI depends on the output of the first operation. Example 13

[0545] Typically, the first processor performs the first operation.

[0546] As an embodiment, the first operation is used for beam prediction, and the first node adopts a single-side AI model.

[0547] ​As one embodiment, the first resource set comprises at least one RS resource set for channel measurement, and at least one RS resource set for interference measurement; one RS resource set for channel measurement comprises one or more RS resources, and one RS resource set for interference measurement comprises one or more RS resources; the measurement based on the first resource set on which the input of the first operation depends comprises channel measurement and interference measurement obtained based on the first resource set.

[0548] As one embodiment, the first resource set comprises at least one RS resource set for channel measurement, and at least one RS resource set for interference measurement; one RS resource set for channel measurement comprises one or more RS resources, and one RS resource set for interference measurement comprises one or more RS resources; the measurement based on the first resource set on which the input of the first operation depends comprises channel measurement and interference measurement obtained based on the first resource set.

[0549] As one embodiment, the first resource set comprises at least one RS resource set for channel measurement, and at least one RS resource set for interference measurement; one RS resource set for channel measurement comprises one or more RS resources, and one RS resource set for interference measurement comprises one or more RS resources; the measurement based on the first resource set on which the input of the first operation depends comprises channel measurement and interference measurement obtained based on the first resource set.

[0550] As one embodiment, the measurement based on the first resource set on which the input of the first operation depends comprises that the measurement based on the first resource set is used to generate the input of the first operation.

[0551] As one embodiment, the first resource set comprises at least one RS resource set for channel measurement, and at least one RS resource set for interference measurement; one RS resource set for channel measurement comprises one or more RS resources, and one RS resource set for interference measurement comprises one or more RS resources; the measurement based on the first resource set on which the input of the first operation depends comprises channel measurement and interference measurement obtained based on the first resource set.

[0552] As one embodiment, the first resource set comprises at least one RS resource set for channel measurement, and at least one RS resource set for interference measurement; one RS resource set for channel measurement comprises one or more RS resources, and one RS resource set for interference measurement comprises one or more RS resources; the measurement based on the first resource set on which the input of the first operation depends comprises channel measurement and interference measurement obtained based on the first resource set.

[0553] As an embodiment, the first resource set comprises at least one RS resource set for channel measurement and at least one RS resource set for interference measurement; one RS resource set for channel measurement comprises one or more RS resources, and one RS resource set for interference measurement comprises one or more RS resources; the input dependent measurement based on the first resource set for the first operation comprises: the channel measurement and the interference measurement obtained based on the first resource set are used to generate the input of the first operation.

[0554] As an embodiment, the channel measurement obtained based on the first resource set means that the channel measurement is obtained based on at least one reference signal transmitted in the first resource set.

[0555] As an embodiment, the channel measurement obtained based on the first resource set means that the channel measurement is obtained in the first resource set.

[0556] As an embodiment, the interference measurement obtained based on the first resource set means that the interference measurement is obtained based on at least one reference signal transmitted in the first resource set.

[0557] As an embodiment, the interference measurement obtained based on the first resource set means that the interference measurement is obtained in the first resource set.

[0558] As an embodiment, the channel measurement obtained based on the first resource set comprises a channel matrix.

[0559] As an embodiment, the channel measurement obtained based on the first resource set comprises a raw channel matrix.

[0560] As an embodiment, the channel measurement obtained based on the first resource set comprises an eigenvector.

[0561] As an embodiment, the channel measurement obtained based on the first resource set comprises an eigenvector and an eigenvalue.

[0562] As an embodiment, the channel measurement obtained based on the first resource set comprises one or more of BLER, delay spread, Doppler spread, Doppler shift, average delay, average gain, path loss and RSRP.

[0563] As an embodiment, the interference measurement obtained based on the first resource set comprises at least one of interference power, interference variance or interference power spectral density.

[0564] As one embodiment, the interference measurements obtained based on the first set of resources comprise an interference channel matrix.

[0565] As one embodiment, the interference measurements obtained based on the first set of resources comprise an interference covariance matrix.

[0566] As one embodiment, the interference measurements obtained based on the first set of resources comprise an interference eigenvector.

[0567] As one embodiment, the interference measurements obtained based on the first set of resources comprise an interference eigenvector and an interference eigenvalue.

[0568] As one embodiment, the interference measurements obtained based on the first set of resources comprise an interference beam.

[0569] In general, how the first node determines the input to the first operation based on the measurements of the first set of resources is up to the device vendor and some non-limiting embodiments are described below:

[0570] As one embodiment, the input to the first operation comprises channel measurements obtained based on the first set of resources.

[0571] As one embodiment, the input to the first operation comprises channel measurements and interference measurements obtained based on the first set of resources.

[0572] As one embodiment, the input to the first operation comprises interference measurements obtained based on the first set of resources.

[0573] As one embodiment, the interference measurements comprise one or more of: interference power, interference variance, or interference power spectral density.

[0574] As one embodiment, the input to the first operation comprises channel impulse responses obtained based on the measurements for the first set of resources.

[0575] As one embodiment, the input to the first operation comprises a channel matrix obtained based on the measurements for the first set of resources.

[0576] As one embodiment, the input to the first operation comprises eigenvectors and eigenvalues of a channel matrix obtained based on the measurements for the first set of resources.

[0577] As one embodiment, the input to the first operation comprises a matrix or vector obtained by pre-processing a channel matrix obtained based on the measurements for the first set of resources.

[0578] As one embodiment, the channel matrix is spatial-frequency domain.

[0579] As one embodiment, the channel matrix is in an angular-delay domain.

[0580] As one embodiment, the pre-processing comprises one or more of 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 and time-to-frequency domain transformation, truncation, padding, mapping, labeling.

[0581] As one embodiment, the pre-processing comprises one or more of matrix decomposition, matrix transformation or projection.

[0582] As one embodiment, the pre-processing comprises quantization.

[0583] As one embodiment, the pre-processing comprises DFT.

[0584] As one embodiment, the pre-processing comprises one or more of quantization, spatial-to-angular domain transformation, angular-to-spatial domain transformation, frequency-to-time domain transformation and time-to-frequency domain transformation.

[0585] As one embodiment, the pre-processing comprises truncation and / or padding.

[0586] As one embodiment, the pre-processing comprises mapping.

[0587] As one embodiment, the pre-processing comprises mapping to a vector.

[0588] As one embodiment, the pre-processing comprises labeling.

[0589] As one embodiment, the labeling refers to marking with a label.

[0590] As one embodiment, the first type of CSI comprises an output of the first operation.

[0591] As one embodiment, the first type of CSI comprises a post-processed output of the first operation.

[0592] As one embodiment, the first type of CSI comprises a truncated and / or quantized output of the first operation.

[0593] As one embodiment, an output of the first operation is used to generate the first type of CSI.

[0594] As one embodiment, the output of the first operation is used to generate the first type of CSI after being post-processed.

[0595] As one embodiment, the output of the first operation is used to generate the first type of CSI after being truncated and / or quantized.

[0596] As one embodiment, part or all of the output of the first operation is used to generate the first type of CSI after being post-processed.

[0597] As one embodiment, part or all of the output of the first operation is used to generate the first type of CSI after being truncated and / or quantized.

[0598] As one embodiment, the first type of CSI indicates at least one resource in the first set of resources.

[0599] As one embodiment, the first set of resources includes at least one RS resource; and the first type of CSI indicating at least one resource in the first set of resources comprises the first type of CSI indicating at least one RS resource in the first set of resources.

[0600] As one embodiment, the first set of resources includes at least one beam; and the first type of CSI indicating at least one resource in the first set of resources comprises the first type of CSI indicating at least one beam in the first set of resources.

[0601] As one embodiment, the first set of resources includes one or more beams; and the first type of CSI indicating at least one resource in the first set of resources comprises the first type of CSI indicating at least one beam in the first set of resources.

[0602] As one embodiment, the first set of resources includes one or more vectors; and the first type of CSI indicating at least one resource in the first set of resources comprises the first type of CSI indicating at least one vector in the first set of resources.

[0603] As one embodiment, the first set of resources includes one or more matrices; and the first type of CSI indicating at least one resource in the first set of resources comprises the first type of CSI indicating at least one matrix in the first set of resources.

[0604] As one embodiment, the first set of resources includes one or more DFT vectors; and the first type of CSI indicating at least one resource in the first set of resources comprises the first type of CSI indicating at least one DFT vector in the first set of resources.

[0605] As an embodiment, the first resource set comprises one or more codebooks; the first type of CSI indicates at least one resource in the first resource set comprises: the first type of CSI indicates at least one codebook in the first resource set.

[0606] As an embodiment, the first resource set comprises one or more antenna ports; the first type of CSI indicates at least one resource in the first resource set comprises: the first type of CSI indicates at least one antenna port in the first resource set.

[0607] As an embodiment, the first operation is based on measurement of the first resource set to perform spatial beam prediction for the second resource set.

[0608] As an embodiment, the benefit of the above method comprises reducing RS overhead and reducing feedback delay.

[0609] As an embodiment, the first operation is based on measurement of the first resource set to perform channel information prediction for the second resource set.

[0610] As an embodiment, the channel information in the present application comprises beam information.

[0611] As an embodiment, the first operation is based on historic measurement of the first resource set to perform Temporal beam prediction for the second resource set.

[0612] As an embodiment, the benefit of the above method comprises reducing beam feedback delay and improving real-time performance of beam acquisition.

[0613] As an embodiment, the first operation is based on historic measurement of the first resource set to perform Temporal channel information prediction for the second resource set.

[0614] As an embodiment, the benefit of the above method comprises reducing channel information feedback delay and improving real-time performance of channel information acquisition.

[0615] As an embodiment, the input of the first operation further comprises the second resource set.

[0616] As an embodiment, the first operation is associated with a first type of identification.

[0617] As an embodiment, the first operation is associated with a first type of identification, and the target identification is a first type of identification.

[0618] As an example, the reporting configuration of the first type of CSI indicates the first type identifier, and the first operation is associated with the first type identifier of the reporting configuration of the first type of CSI.

[0619] Figure 13

[0620] Example 13 illustrates a schematic diagram of a first operation associated with a first type of identifier according to an embodiment of this application; as shown in the attached diagram. Example 14 As shown. In Embodiment 13, the reporting configuration of the first type of CSI indicates a first resource set, which is used for at least one of channel measurement or interference measurement, and the first resource set includes one or more RS resources; the generation method of the first type of CSI includes: the first node or the target receiver of the reporting configuration of the at least one type of first CSI performs a first operation, the input of the first operation depends on the measurement based on the first resource set, and the first type of CSI depends on the output of the first operation; the generation method of the first type of CSI is associated with a first type identifier including: the first operation is associated with the first type identifier.

[0621] As an example, the first type of identifier is a non-negative integer.

[0622] As an example, the first type of identifier is a string.

[0623] As an example, the first operation is identified by the first type of identifier.

[0624] As an example, the AI ​​model used in the first operation is identified by the first type of identifier.

[0625] As an example, the AI ​​entity to which the first operation belongs is identified by the first type of identifier.

[0626] As an example, the AI ​​function to which the first operation belongs is identified by the first type of identifier.

[0627] As an example, the AI ​​entity or AI function to which the first operation belongs is identified by the first type of identifier.

[0628] As an example, the advantages of the above method include: identifying an AI entity or function through the first type of identifier simplifies the design and unifies the understanding of different AI entities or functions across multiple nodes.

[0629] As an example, the AI ​​function that performs the first operation is identified by the first type of identifier.

[0630] As an example, the AI ​​entity performing the first operation is identified by the first type of identifier.

[0631] As an embodiment, the AI entity or AI function performing the first operation is identified by the first type identifier.

[0632] As an embodiment, the first type identifier is a model identifier.

[0633] As an embodiment, the first type identifier is used to identify an AI model.

[0634] As an embodiment, the first type identifier is used by the first node to determine an AI model.

[0635] As an embodiment, the first type identifier is used by the first node to determine an AI model used by the first operation.

[0636] As an embodiment, the first type identifier is used by the first node to determine an AI model used by the first operation.

[0637] As an embodiment, the benefit of the above method includes that the identification of an AI model / entity / function by the first type identifier simplifies the design and unifies the understanding of different AI entities / functions among multiple nodes.

[0638] As an embodiment, the first type identifier is used to identify or indicate a first resource set for which measurements are used to obtain a training data set for the first operation.

[0639] As an embodiment, the first type identifier is used to identify configuration information of a first resource set for which measurements are used to obtain a training data set for the first operation.

[0640] As an embodiment, the training for the first operation is identified by the first type identifier.

[0641] As an embodiment, the data set for the training for the first operation is identified by the first type identifier.

[0642] As an embodiment, the benefit of the above method includes that the identification of an AI training or AI training data set identifies the inference of this AI training or AI training data set generation, establishes consensus among different AI functions, and further simplifies the design.

[0643] As an embodiment, the reporting configuration of the first type CSI indicates the first operation by indicating the first type identifier.

[0644] As an embodiment, the reporting configuration of the first type CSI indicates the use of an AI model by indicating the first type identifier.As one embodiment, the reporting configuration of the first type of CSI is obtained by indicating the first type of identity to an input of an AI entity / function / inference associated with the first type of identity.

[0645] As one embodiment, the first operation is a spatial beam prediction for a second set of resources based on measurements of the first set of resources, the second set of resources dependent on the first type of identity.

[0646] As one embodiment, the benefits of the above method include reduced RS overhead, reduced feedback delay.

[0647] As one embodiment, the first operation is a channel information prediction for a second set of resources based on measurements of the first set of resources, the second set of resources dependent on the first type of identity.

[0648] As one embodiment, the channel information in the present application includes beam information.

[0649] As one embodiment, the first operation is a Temporal beam prediction for a second set of resources based on historic measurements of the first set of resources, the second set of resources dependent on the first type of identity.

[0650] As one embodiment, the benefits of the above method include reduced beam feedback delay, improved real-time beam acquisition.

[0651] As one embodiment, the first operation is a Temporal channel information prediction for a second set of resources based on historic measurements of the first set of resources, the second set of resources dependent on the first type of identity.

[0652] As one embodiment, the benefits of the above method include reduced channel information feedback delay, improved real-time channel information acquisition.

[0653] As one embodiment, the first type of identity is used to indicate the second set of resources.

[0654] Figure 14

[0655] Embodiment 14 illustrates a schematic diagram of the first operation according to one embodiment of the present application; as shown in FIG. 14. Example 15 In Embodiment 14, the first operation is training-based or AI-based.

[0656] As one embodiment, the first operation is training-based.

[0657] As an embodiment, the first operation is AI-based.

[0658] As an embodiment, the measurement based on the first set of resources comprises pre-compression channel information, and the output of the first operation comprises post-compression channel information.

[0659] As an embodiment, the benefits of the above method include: applicable to channel compression, saving feedback overhead.

[0660] As an embodiment, the measurement based on the first set of resources comprises measurement-obtained channel information, and the output of the first operation comprises predicted channel information.

[0661] As an embodiment, the measurement based on the first set of resources comprises measurement-obtained channel information, and the output of the first operation comprises spatial beam prediction.

[0662] As an embodiment, the measurement based on the first set of resources comprises measurement-obtained channel information, and the output of the first operation comprises spatial beam prediction for a second set of resources.

[0663] As an embodiment, the resources in the second set of resources comprise at least one of antenna ports, time-frequency resources, time-frequency code resources, beams, RS resources, vectors, or matrices.

[0664] As an embodiment, the benefits of the above method include: reducing RS overhead, reducing feedback delay.

[0665] As an embodiment, the channel information in the present application comprises beam information.

[0666] As an embodiment, the measurement based on the first set of resources comprises current channel information, and the output of the first operation comprises predicted channel information.

[0667] As an embodiment, the measurement based on the first set of resources comprises historic channel information, and the output of the first operation comprises predicted channel information.

[0668] As an embodiment, the measurement based on the first set of resources comprises historic channel information, and the output of the first operation comprises Temporal beam prediction.

[0669] As an embodiment, the measurement based on the first set of resources comprises historic channel information, and the output of the first operation comprises Temporal beam prediction for the second set of resources.

[0670] As one embodiment, benefits of the above method include: reduced channel information feedback delay, improved real-time of channel information acquisition.

[0671] As one embodiment, the measurement based on the first set of resources includes current channel information, and the output of the first operation includes channel information after a period of time.

[0672] As one embodiment, the measurement based on the first set of resources includes current channel information, and the output of the first operation includes future channel information.

[0673] As one embodiment, the measurement based on the first set of resources includes historical channel information, and the output of the first operation includes future channel information.

[0674] As one embodiment, benefits of the above method include: improved CSI accuracy and real-time, reduced RS overhead.

[0675] As one embodiment, the measurement based on the first set of resources includes incomplete channel information, and the output of the first operation includes complete channel information.

[0676] As one embodiment, benefits of the above method include: reduced RS overhead, improved CSI accuracy and completeness.

[0677] As one embodiment, the measurement based on the first set of resources includes channel information of P1 antenna ports, and the output of the first operation includes channel information of P2 antenna ports, the P1 and the P2 are positive integers greater than 1 respectively, and the P1 is less than the P2.

[0678] As one sub-embodiment of the above embodiment, the P1 antenna ports are a proper subset of the P2 antenna ports.

[0679] As one sub-embodiment of the above embodiment, the P2 antenna ports belong to the second set of resources.

[0680] As one embodiment, the measurement based on the first set of resources includes channel information of first frequency domain resources, and the output of the first operation includes channel information of second frequency domain resources, the second frequency domain resources include frequency domain resources not belonging to the first frequency domain resources.

[0681] As one sub-embodiment of the above embodiment, the first frequency domain resources are a proper subset of the second frequency domain resources.

[0682] As one embodiment, the first operation is based on training.

[0683] As one embodiment, the first operation is obtained through training.

[0684] As one embodiment, the training for obtaining the first operation is performed by the first node.

[0685] As one embodiment, the training for obtaining the first operation is performed by a sender of the reporting configuration of the first type of CSI.

[0686] As one embodiment, the training for obtaining the first operation is performed by a sender of the first set of resources.

[0687] As one embodiment, the training for obtaining the first operation is performed by an MDA function (Management Data Analytics Function).

[0688] As one embodiment, the training for obtaining the first operation is performed by an MDAS (Management Data Analytics Service) producer.

[0689] As one embodiment, the training for obtaining the first operation is performed by a NWDAF (Network Data Analytics Function).

[0690] As one embodiment, the training for obtaining the first operation is performed by a core network.

[0691] As one embodiment, the training for obtaining the first operation is performed by an AI training producer.

[0692] As one embodiment, the performer of the training for obtaining the first operation is different from a sender of the reporting configuration of the first type of CSI.

[0693] As one embodiment, the performer of the training for obtaining the first operation is different from a sender of the first set of resources.

[0694] As one embodiment, the first operation includes inference.

[0695] As one embodiment, the first operation includes AI (Artificial Intelligence).

[0696] As one embodiment, the first operation is inference.

[0697] As one embodiment, the first operation is AI inference.

[0698] As one embodiment, the first operation includes AI inference for CSI.

[0699] As one embodiment, the first operation includes AI inference for beam prediction.

[0700] As one embodiment, benefits of the above method include improved performance of measurement and reporting of CSI (including beam), including more accurate CSI, lower reference signal overhead and reporting overhead, thus improving overall system performance.

[0701] As one embodiment, the first operation is AI inference for CSI.

[0702] As one embodiment, the first operation includes AI inference for at least one of beam prediction, CSI prediction, CSI estimation, or CSI compression.

[0703] As one embodiment, the CSI prediction includes beam prediction.

[0704] As one embodiment, benefits of the above method include more accurate and complete CSI, lower reference signal overhead, improved real-time performance of CSI.

[0705] As one embodiment, the first operation is based on an AI model.

[0706] As one embodiment, the first operation includes an AI entity.

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

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

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

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

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

[0712] As one embodiment, the first operation includes an AI entity for beam prediction.

[0713] As one embodiment, the first operation includes an AI entity for CSI prediction, estimation, or compression.

[0714] As one embodiment, the first operation includes inference of an AI entity for CSI.

[0715] As one embodiment, the first operation comprises an AI entity inference for CSI prediction, estimation, or compression.

[0716] As one embodiment, the first operation is performed by an AI entity.

[0717] As one embodiment, the first operation is performed by an AI entity deployed at the first node.

[0718] As one embodiment, the first operation is performed by an AI function.

[0719] As one embodiment, the first operation is performed by an AI function deployed at the first node.

[0720] As one embodiment, the AI function comprises an AI inference function.

[0721] As one embodiment, the AI function comprises an AI training function.

[0722] As one embodiment, the AI function comprises an AI management function.

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

[0724] As one embodiment, the first operation is performed by a higher layer of the first node.

[0725] As one embodiment, the first operation is required for deployment.

[0726] As one embodiment, the first operation is obtained by loading.

[0727] As one embodiment, the first operation is obtained by loading from a serving cell of the first node.

[0728] As one embodiment, the first operation is obtained by loading from a maintaining base station of a serving cell of the first node.

[0729] As one embodiment, the first operation is obtained by loading from a core network.

[0730] As one embodiment, the first operation is based on artificial intelligence or machine learning.

[0731] As one embodiment, the first operation is based on a neural network.

[0732] As one embodiment, the first operation comprises neural network based CSI compression.

[0733] As one embodiment, the first operation comprises an encoder for neural network based CSI compression.

[0734] As one embodiment, the first operation comprises CNN based CSI compression.

[0735] As one embodiment, the first operation comprises an encoder for CNN based CSI compression.

[0736] As one embodiment, the output of the first operation is non-codebook based.

[0737] As one embodiment, the output of the first operation is neither CSI defined in 3GPP Rel-18 nor CSI defined in a version before 3GPP Rel-18.

[0738] As one embodiment, the output of the first operation is based on artificial intelligence or machine learning.

[0739] As one embodiment, the output of the first operation is based on neural network.

[0740] As one embodiment, the output of the first operation is based on CNN.

[0741] As one embodiment, the output of the first operation comprises CSI.

[0742] As one embodiment, the output of the first operation comprises predicted beam information.

[0743] As one embodiment, the output of the first operation comprises beam indication and RSRP.

[0744] As one embodiment, the output of the first operation comprises RS resource indication and RSRP.

[0745] As one embodiment, the output of the first operation comprises resource indication and RSRP.

[0746] As one embodiment, the output of the first operation comprises one or more of a beam indication, a CRI (CSI-RS Resource Indicator), a SS / PBCH Block Resource indicator (SSBRI), or a RSRP (Reference Signal Received Power).

[0747] As one embodiment, the output of the first operation comprises one or more of a PMI, a CRI, a CQI, a RI, a LI, a SSBRI, a RSRP, a SINR, a capability index, and a TDCP.

[0748] As one embodiment, the output of the first operation comprises a channel impulse response.

[0749] As one embodiment, the output of the first operation comprises a small-scale property.

[0750] As one embodiment, the output of the first operation comprises one or more of a delay spread, a Doppler spread, a Doppler shift, a mean delay, and a mean gain.

[0751] As one embodiment, the output of the first operation comprises a channel matrix.

[0752] As one embodiment, the output of the first operation comprises a first type of CSI.

[0753] As one embodiment, the first type of CSI comprises predicted or estimated CSI.

[0754] As one embodiment, the first type of CSI comprises predicted beam information.

[0755] As one embodiment, in the above method, the first operation is used for beam prediction, CSI prediction or estimation to reduce RS overhead and / or improve CSI accuracy / integrity.

[0756] As one embodiment, the first node is a consumer.

[0757] As one embodiment, the first node is a consumer of an AI function.

[0758] As one embodiment, the first node is a consumer of AI inference.

[0759] As one embodiment, the first node is a consumer of AI training.

[0760] As one embodiment, the first node is a MnS (Management Service) user.

[0761] As one embodiment, the first node is an AI inference producer.

[0762] As one embodiment, the first node is an AI training producer.

[0763] As one embodiment, the first operation includes pre-processing.

[0764] As one embodiment, the pre-processing includes DFT (Discrete Fourier Transform).

[0765] As one embodiment, the pre-processing includes one or more of matrix decomposition, matrix transformation, and projection.

[0766] As one embodiment, the pre-processing includes one or more of quantization, spatial-to-angle domain transformation, angle-to-spatial domain transformation, frequency-to-time domain transformation, and time-to-frequency domain transformation.

[0767] As one embodiment, the pre-processing includes truncation and / or padding.

[0768] As one embodiment, the pre-processing includes mapping.

[0769] As one embodiment, the pre-processing includes mapping to a vector.

[0770] As one embodiment, the pre-processing includes a label.

[0771] As one embodiment, the label refers to labeling with a label.

[0772] As one embodiment, the first operation includes post-processing.

[0773] As one embodiment, the post-processing includes DFT.

[0774] As one embodiment, the post-processing includes quantization.

[0775] As one embodiment, the post-processing includes one or more of angle-to-spatial domain transformation, spatial-to-angle domain transformation, time-to-frequency domain transformation, and frequency-to-time domain transformation.

[0776] As one embodiment, the post-processing includes truncation and / or padding.

[0777] As one embodiment, the first operation comprises one or more of convolution, pooling, concatenation, and activation.

[0778] As one embodiment, the first operation comprises a fully connected layer.

[0779] As one embodiment, the first operation comprises a pooling layer.

[0780] As one embodiment, the first operation comprises at least one convolution layer.

[0781] As one embodiment, the first operation comprises at least one encoding layer.

[0782] As one embodiment, an encoding layer comprises at least one convolution layer and a pooling layer.

[0783] As one embodiment, in a convolution layer, at least one convolution kernel is used to convolve an input to generate a corresponding feature map, at least one feature map output by the convolution layer is reshaped into a vector input to a fully connected layer; the fully connected layer converts the one vector into an output.

[0784] As one embodiment, some or all of the convolution kernel size, the number of convolution layers, the convolution step, the pooling kernel size, the pooling kernel step, the pooling function, the activation function, and the number of feature maps of the first operation are obtained through training.

[0785] As one embodiment, some or all of the convolution kernel, the pooling kernel, the pooling function, the activation function, the parameters of the pooling function, and the parameters of the activation function of the first operation are obtained through training.

[0786] Figure 15

[0787] Embodiment 15 illustrates a schematic diagram of a reporting configuration of a first type of CSI indicating a first type of identification according to an embodiment of the present application; as shown in FIG. 15. In embodiment 15, the first type of CSI generation mode associated with the first type of identification comprises: the reporting configuration of the first type of CSI indicating the first type of identification, and the first type of identification indicated by the reporting configuration of the first type of CSI is the first type of identification associated with the generation mode of the first type of CSI. Example 16

[0788] As one embodiment, the reporting configuration of the first type of CSI explicitly indicates the first type of identification.

[0789] As one embodiment, the reporting configuration of the first type of CSI implicitly indicates the first type of identification. ​

[0790] As an embodiment, the reporting configuration of the first type of CSI comprises a reference domain, and the reference domain comprised in the reporting configuration of the first type of CSI indicates the first type of identification.

[0791] As an embodiment, the reporting configuration of the first type of CSI indicates the first operation by indicating the first type of identification.

[0792] As an embodiment, the reporting configuration of the first type of CSI indicates the use of an AI model adopted by the first operation by indicating the first type of identification.

[0793] As an embodiment, the reporting configuration of the first type of CSI obtains an input of an AI entity / function / inference associated with the first type of identification by indicating the first type of identification, and the first operation is associated with the first type of identification.

[0794] Figure 16

[0795] Embodiment 16 illustrates a schematic diagram of a generation manner of a first type of CSI being associated with a first type of identification according to an embodiment of the present application; as shown in FIG. 16. Example 17 In embodiment 16, the generation manner of the first type of CSI being associated with the first type of identification comprises that the generation manner of the first type of CSI uses an AI model identified by the first type of identification, or the first type of CSI is generated by an AI entity identified by the first type of identification, or the first type of CSI is used for an AI function identified by the first type of identification.

[0796] As an embodiment, the generation manner of the first type of CSI uses an AI model identified by the first type of identification.

[0797] As an embodiment, the first type of CSI is generated by an AI entity identified by the first type of identification.

[0798] As an embodiment, an AI model adopted by the first operation is identified by the first type of identification, and the first type of CSI depends on the output of the first operation.

[0799] As an embodiment, an AI entity or an AI function to which the first operation belongs is identified by the first type of identification, and the first type of CSI depends on the output of the first operation.

[0800] As an embodiment, an AI entity or an AI function performing the first operation is identified by the first type of identification, and the first type of CSI depends on the output of the first operation.

[0801] As an embodiment, the first type of CSI is used for the AI function identified by the first type of identification.

[0802] As an embodiment, the first type of CSI is used for obtaining a training data set of the AI function identified by the first type of identification.

[0803] Figure 17

[0804] Embodiment 17 illustrates a schematic diagram of a first higher layer parameter according to an embodiment of the present application; as shown in FIG. 17. In Embodiment 17, the first receiver receives a first higher layer parameter; wherein the first higher layer parameter indicates the first set of cells. Example 18

[0805] As an embodiment, the first higher layer parameter is carried by a higher layer signaling.

[0806] As an embodiment, the first higher layer parameter is carried by a Radio Resource Control (RRC) signaling.

[0807] As an embodiment, the first higher layer parameter is carried by one RRC Information Element (IE).

[0808] As an embodiment, the first higher layer parameter is carried by at least one RRC IE.

[0809] As an embodiment, the first higher layer parameter includes information in one or more fields in at least one RRC IE.

[0810] As an embodiment, the first higher layer parameter includes information in one or more fields in each of a plurality of RRC IEs.

[0811] As an embodiment, the first higher layer parameter is one RRC IE.

[0812] As an embodiment, the first higher layer parameter includes a MAC CE.

[0813] As an embodiment, the first higher layer parameter includes sCellToAddModList or sCellToAddModListSCG.

[0814] As an embodiment, the name of the first higher layer parameter includes: Cell.

[0815] As an embodiment, the name of the first higher layer parameter includes: List.​

[0816] As one embodiment, the name of the first higher layer parameter includes: CellToAddModList.

[0817] As one embodiment, the name of the first higher layer parameter includes: SetofCellsToAddModList.

[0818] As one embodiment, the first higher layer parameter indicates an index of each cell in the first cell set.

[0819] As one embodiment, the first higher layer parameter indicates an index of each cell in the first cell set, and the index indicated by the first higher layer parameter is SCellIndex or ServCellIndex.

[0820] As one embodiment, the first higher layer parameter indicates a plurality of cell sets, the first cell set is one cell set in the plurality of cell sets indicated by the first higher layer parameter, and any cell set in the plurality of cell sets includes at least one serving cell.

[0821] As one embodiment, each cell in the first cell set is one serving cell of the first node.

[0822] As one embodiment, the first node has performed secondary serving cell addition for each cell in the first cell set.

[0823] As one embodiment, the latest received sCellToAddModList or sCellToAddModListSCG of the first node includes each cell in the first cell set.

[0824] As one embodiment, for each cell in the first cell set, the first node is assigned SCellIndex or ServCellIndex for this cell.

[0825] As one embodiment, an RRC connection has been established between the first node and each cell in the first cell set.

[0826] As one embodiment, the C-RNTI of the first node is assigned by one cell in the first cell set.

[0827] As one embodiment, the C-RNTI of the first node is assigned by one cell not belonging to the first cell set.

[0828] As one embodiment, the first set of cells comprises a SpCell (Special Cell) of the first node.

[0829] As one embodiment, the first set of cells comprises a SCell (Secondary Cell) of the first node.

[0830] As one embodiment, any cell in the first set of cells is a SpCell or a SCell of the first node.

[0831] As one embodiment, the definition of serving cell refers to 3GPP TS 38.331.

[0832] As one embodiment, the first set of cells belongs to the same cell group.

[0833] As one embodiment, the first set of cells all belong to a MCG (Master Cell Group) or all belong to a SCG (Secondary Cell Group).

[0834] As one embodiment, the first set of cells belongs to the same PUCCH (Physical Uplink Control Channel) group.

[0835] As one embodiment, one PUCCH group comprises a set of cells whose PUCCH signaling is associated with the PUCCH of a SpCell (Special Cell) or a PUCCH SCell (Secondary Cell); a PUCCH SCell is a SCell configured with PUCCH.

[0836] As one embodiment, one PUCCH group comprises a set of cells whose PUCCH signaling is associated with the PUCCH of the same cell.

[0837] As one embodiment, the cells in the first set of cells have the same numerology.

[0838] As one embodiment, there are two cells in the first set of cells having different numerologies.

[0839] As one embodiment, the cells in the first set of cells have the same subcarrier spacing configuration.

[0840] As an embodiment, there are two cells in the first set of cells have different subcarrier spacing configurations.

[0841] Figure 18

[0842] Embodiment 18 illustrates a schematic diagram of a second information block according to an embodiment of the present application; as shown in FIG. 18. In Embodiment 18, a first processor transmits a second information block; wherein the second information block indicates a generation manner of CSI on a plurality of serving cells is associated to a same first type identifier. Example 19

[0843] As an embodiment, the second information block is carried by RRC (Radio Resource Control) signaling.

[0844] As an embodiment, the second information block is carried by one RRC IE (Information Element).

[0845] As an embodiment, the second information block is carried by at least one RRC IE.

[0846] As an embodiment, the second information block includes information in one or more fields in at least one RRC IE.

[0847] As an embodiment, the second information block includes information in one or more fields in each of a plurality of RRC IEs.

[0848] As an embodiment, the second information block is one RRC IE.

[0849] As an embodiment, the second information block includes IE UECapabilityInformation.

[0850] As an embodiment, the second information block is IE UECapabilityInformation.

[0851] As an embodiment, the second information block includes information in one or more fields in IE UECapabilityInformation.

[0852] As an embodiment, the second information block is carried by physical layer signaling.

[0853] As an embodiment, the second information block includes one MAC CE.

[0854] ​As one embodiment, the second information block indicates that the manner of CSI generation on the first set of cells is associated to the same first type identity.

[0855] As one embodiment, the second information block indicates that the manner of CSI generation on the first set of cells is associated to the same first type identity.

[0856] As one embodiment, the second information block indicates that the manner of CSI generation on the first set of cells is associated to the same first type identity.

[0857] As one embodiment, the second information block indicates that the manner of CSI generation on the first set of cells is associated to the same first type identity.

[0858] As one embodiment, the second information block belongs to the capability reporting of the first node.

[0859] Figure 19

[0860] Embodiment 19 illustrates a schematic diagram of a first operation according to another embodiment of the present application; as shown in FIG. 19. Figure 19 In Embodiment 19, the first operation includes K1 sub-operations, where K1 is a positive integer no larger than 1. In the accompanying drawings, the K1 sub-operations are denoted as sub-operation #0, …, sub-operation #(K1-1), respectively. Figure 19

[0861] As one embodiment, each of the K1 sub-operations is based on training.

[0862] As one embodiment, at least one of the K1 sub-operations is based on training.

[0863] As one embodiment, each of the K1 sub-operations is based on training.

[0864] As one embodiment, two of the K1 sub-operations are based on training performed by different performers.

[0865] As one embodiment, at least one of the K1 sub-operations is deployment-needed.

[0866] As one embodiment, at least one of the K1 sub-operations is loading-needed. ​

[0867] As one embodiment, all of the K1 sub-operations that need loading are loaded from the same producer.

[0868] As one embodiment, two of the K1 sub-operations that need loading are loaded from different producers.

[0869] As one embodiment, at least one of the K1 sub-operations is not based on training.

[0870] As one embodiment, at least one of the K1 sub-operations is based on a codebook defined for precoding by 3GPP R18 or a version before 3GPP R18.

[0871] As one embodiment, one or more of the K1 sub-operations is based on AI.

[0872] As one embodiment, one or more of the K1 sub-operations includes inference.

[0873] As one embodiment, one or more of the K1 sub-operations includes AI inference.

[0874] As one embodiment, one or more of the K1 sub-operations includes AI inference for CSI.

[0875] As one embodiment, the AI (Artificial Intelligence) includes ML (Machine Learning).

[0876] As one embodiment, one or more of the K1 sub-operations includes pre-processing.

[0877] As one embodiment, one or more of the K1 sub-operations includes post-processing.

[0878] As one embodiment, there are two sub-operations of the K1 sub-operations that are serial, as in Figure 19 all sub-operations in 19(a), sub-operation #2 to sub-operation #(K1-1) in 19(b), and sub-operation #0 to sub-operation #(K1-4) in 19(c).

[0879] As one embodiment, two sub-operations being serial means that the output of one of the two sub-operations is used as the input of the other of the two sub-operations.

[0880] As one embodiment, two of the K1 sub-operations are parallel, such as sub-operation #0 and sub-operation #1 in (b), FIG. 10A, Figure 19 sub-operation #(K1-3) and sub-operation #(K1-2) in (c), FIG. 10A. Example 20

[0881] As one embodiment, two sub-operations being parallel means that the outputs of the two sub-operations are jointly used as the input of another sub-operation.

[0882] As one embodiment, the K1 sub-operations include one or more of convolution, pooling, concatenation, or activation.

[0883] As one embodiment, one of the K1 sub-operations includes a fully connected layer.

[0884] As one embodiment, one of the K1 sub-operations includes a pooling layer.

[0885] As one embodiment, one of the K1 sub-operations includes at least one convolution layer.

[0886] As one embodiment, one of the K1 sub-operations includes at least one encoding layer.

[0887] As one embodiment, two of the K1 sub-operations respectively include a fully connected layer and at least one encoding layer.

[0888] As one embodiment, an encoding layer includes at least one convolution layer and a pooling layer.

[0889] Figure 20

[0890] Embodiment 20 illustrates a diagram of a first node deploying a first operation according to an embodiment of the application; as shown in FIG. 10B. Figure 20 In Embodiment 20, the first processor deploys the first operation.

[0891] As one embodiment, the deployment of the first operation is earlier than the reception of the reporting configuration of the first type of CSI.

[0892] As one embodiment, the deployment of the first operation is later than the reception of the reporting configuration of the first type of CSI.

[0893] As one embodiment, the deployment includes obtaining the first operation.

[0894] As one embodiment, the deployment includes obtaining an AI entity.​

[0895] As one embodiment, the deploying comprises obtaining an AI entity that performs the first operation.

[0896] As one embodiment, the deploying comprises obtaining an AI entity that comprises an AI function that performs the first operation.

[0897] As one embodiment, the deploying comprises loading the first operation.

[0898] As one embodiment, the deploying comprises making a request to load the first operation.

[0899] As one embodiment, the request in the Figure 20 is a request to load the first operation made by the first node.

[0900] As one embodiment, the response in the Figure 20 is a response to the request to load the first operation made by the first node.

[0901] As one embodiment, the first node obtains the first operation through the response in the Figure 20 .

[0902] As one embodiment, the first operation is obtained from loading at a serving cell of the first node.

[0903] As one embodiment, the first operation is obtained from loading at a maintaining base station of a serving cell of the first node.

[0904] As one embodiment, the first operation is obtained from loading at a core network.

[0905] As one embodiment, the first operation is obtained from loading at a first producer.

[0906] As one embodiment, the first producer provides the first operation to the first node through the response in the Example 21 .

[0907] As one embodiment, the deploying is done by an AI function.

[0908] As one embodiment, the deploying is done by an AI function deployed at the first node.

[0909] As one embodiment, the deploying is done by an AI deployment function.

[0910] As one embodiment, the deploying is done by an AI deployment function deployed at the first node.

[0911] As one embodiment, the deploying is done by an AI inference function.

[0912] As one embodiment, the deploying is done by an AI inference function deployed at the first node.

[0913] As one embodiment, the deploying is done by an AI entity.

[0914] As one embodiment, the deploying is done by an AI entity deployed at the first node.

[0915] As one embodiment, the deploying is done by an AI entity having a deployment function.

[0916] As one embodiment, the deploying is done by an AI entity having a deployment function deployed at the first node.

[0917] As one embodiment, the deploying is done by an AI entity having an inference function.

[0918] As one embodiment, the deploying is done by an AI entity having an inference function deployed at the first node.

[0919] As one embodiment, the deploying includes obtaining the first operation from a first producer.

[0920] As one embodiment, the deploying includes making a request to a first producer to load the first operation.

[0921] As one embodiment, the deploying includes loading the first operation from a first producer.

[0922] As one embodiment, the first producer generates and provides an AL entity.

[0923] As one embodiment, the first producer generates and provides an AL function.

[0924] As one embodiment, the first producer is a producer of the first operation.

[0925] As one embodiment, the first producer includes an AL entity producer.

[0926] As one example, the first producer includes an AL function producer.

[0927] As one example, the first producer includes an AL deployment producer.

[0928] As one example, the first producer includes an AL loading producer.

[0929] As one example, the first producer includes an AL-trained producer.

[0930] As an example, the first producer includes an AL inference producer.

[0931] As an example, the first producer includes the producer of the AL entity deployment.

[0932] As one example, the first producer includes the producer that loads the AL entity.

[0933] As an example, the first producer includes an MnS (Management Service) producer.

[0934] As an example, the sender of the reporting configuration for the first type of CSI is the first producer.

[0935] As an example, the sender of the reporting configuration of the first type of CSI is different from the first producer.

[0936] As an example, the training for obtaining the first operation is performed by the first producer.

[0937] As an example, the executor used to obtain the training for the first operation is different from the first producer.

[0938] As one example, the AI ​​includes ML (Machine Learning).

[0939] Figure 21

[0940] Example 21 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 the appendix. Figure 21 As shown. (Attached) Figure 21 (a) Includes the third, fourth, and fifth processors, with appendices Figure 21 (b) Includes the third, fourth, fifth and sixth processors.

[0941] In Embodiment 21(a), the third processor sends a first data set to the fourth processor, and sends a second data set to the fifth processor; the fourth processor generates a target first-type parameter group according to the first data set, and sends the generated target first-type parameter group to the fifth processor; the fifth processor processes the second data set using the target first-type parameter group to obtain a first-type output. In Embodiment 21(b), the third processor sends a first data set to the fourth processor, and sends a second data set to the fifth processor; the fourth processor generates a target first-type parameter group according to the first data set, and sends the generated target first-type parameter group to the fifth processor; the fifth processor processes the second data set using the target first-type parameter group to obtain a first-type output, and sends the first-type output to the sixth processor. Figure 21 In Embodiment 21(a), the first-type feedback is optional.

[0942] In Embodiment 21(b), the first-type feedback and the second-type feedback are optional. Figure 21

[0943] As an embodiment, in Embodiment 21(a), the fifth processor sends the first-type output to the second node in the present application. Figure 21

[0944] As an embodiment, in Embodiment 21(b), the fifth processor sends the first-type output to the second node in the present application. Example 22 As an embodiment, in Embodiment 21(a), a single side AI model is used for beam prediction or channel information prediction, and the fifth processor performs the first operation for beam prediction or channel information prediction.

[0945] As an embodiment, the AI includes ML (Machine Learning) inference.

[0946] As an embodiment, the fifth processor performs the first operation.

[0947] As an embodiment, the fifth processor sends a first-type feedback to the fourth processor, and the first-type feedback is used to trigger recalculation or update of the target first-type parameter group.

[0948] As an embodiment, the sixth processor sends a second-type feedback to the third processor, and the second-type feedback is used to generate the first data set or the second data set, or the second-type feedback is used to trigger sending of the first data set or sending of the second data set.

[0949] ​​As an embodiment, the third processor generates the first data set and the second data set according to measurement of the first type of wireless signal, the first type of wireless signal including downlink RS.

[0950] As an embodiment, the fifth processor belongs to the first node, and the sixth processor belongs to the second node.

[0951] As an embodiment, the first type of CSI belongs to the first type of output.

[0952] As an embodiment, the second data set includes the input of the first operation.

[0953] As an embodiment, the second data set includes information obtained based on the first configuration and the M1 configurations.

[0954] As an embodiment, the first data set includes training data.

[0955] As an embodiment, the fourth processor belongs to a producer of the first operation.

[0956] As an embodiment, the fourth processor includes an AI training producer.

[0957] As an embodiment, the fourth processor includes an AI training function.

[0958] As an embodiment, the fourth processor is used for model training, and a trained model is described by the target first type of parameter group.

[0959] As an embodiment, the fourth processor belongs to the first node.

[0960] The above embodiment avoids passing the first data set to the second node.

[0961] As an embodiment, the fourth processor belongs to the second node.

[0962] The above embodiment supports joint training, and optimizes system performance.

[0963] As an embodiment, the fourth processor belongs to a core network.

[0964] The above embodiment supports network-wide joint training, and further optimizes system performance.

[0965] As an embodiment, the second data set includes inference data.

[0966] As one embodiment, the fifth handler comprises an AI inference producer.

[0967] As one embodiment, the fifth handler comprises an AI inference function.

[0968] As one embodiment, the fifth handler belongs to the first node.

[0969] As one embodiment, the fifth handler constructs a model according to the target first-type parameter group, and then inputs the second data set into the constructed model to obtain the first-type output.

[0970] As one embodiment, the first operation is described by the target first-type parameter group.

[0971] As one embodiment, the target first-type parameter group is used to construct the first operation.

[0972] As one embodiment, the fifth handler generates a recovery data set according to the first-type output, and an error of the recovery data set and the second data set is used to generate the first-type feedback.

[0973] As one embodiment, the first-type feedback is used to reflect the performance of the trained model; when the performance of the trained model cannot meet the requirement, the fourth handler can recalculate the target first-type parameter group.

[0974] As one embodiment, when the error is too large or the time for updating is too long, the performance of the trained model is considered to be unable to meet the requirement.

[0975] As one embodiment, the target first-type parameter group comprises one or more of a convolution kernel size, a convolution layer number, a convolution step length, a pooling kernel size, a pooling kernel step length, a pooling function, an activation function, or a feature map number.

[0976] As one embodiment, the target first-type parameter group comprises one or more of a convolution kernel, a pooling kernel, a pooling function, an activation function, a parameter of the pooling function, or a parameter of the activation function.

[0977] Figure 22

[0978] Embodiment 22 illustrates a schematic diagram based on artificial intelligence or machine learning according to one embodiment of the present application; as shown in FIG. 22. Figure 22 As shown in FIG. 22, the schematic diagram based on artificial intelligence or machine learning comprises a first node 2201, a second node 2202, a third node 2203, a fourth node 2204, and a fifth node 2205. Figure 22The third operation, the fourth operation, the fifth operation, the sixth operation and the seventh operation are included. In embodiment 22, the third operation and the fourth operation belong to a first phase, the fifth operation belongs to a second phase, the sixth operation belongs to a third phase, and the seventh operation belongs to a fourth phase. In the following description, the third operation is referred to as a training operation, the fourth operation is referred to as a testing operation, the fifth operation is referred to as an emulation operation, the sixth operation is referred to as a loading operation, and the seventh operation is referred to as an inference operation. Example 23 In the following description, an arrowed line represents the order of the flow.

[0979] 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.

[0980] As an example, the first phase includes a training phase, the second phase includes an emulation phase, the third phase includes a deployment phase, and the fourth phase includes an inference phase.

[0981] As an example, the first phase includes AI model training.

[0982] As an example, the first phase includes AI model training and AI testing.

[0983] As an example, the AI includes ML (Machine Learning) inference.

[0984] As an example, the AI model training includes initial training and re-training of one or a set of AI entities.

[0985] As an example, the AI model training relies on training data.

[0986] As an example, the AI model training includes AI entity validation.

[0987] As an example, the AI entity validation is used to evaluate the performance of the AI entity.

[0988] As an example, the AI entity validation relies on validation data.

[0989] As one embodiment, the AI model is retrained if the result of the AI entity validation does not meet the expectation.

[0990] As one embodiment, the AI testing includes testing the validated AI entity to estimate the performance of the trained AI model.

[0991] As one embodiment, the AI entity proceeds to the next stage if the result of the AI testing meets the expectation; otherwise the AI model is retrained.

[0992] As one embodiment, the AI testing relies on testing data.

[0993] As one embodiment, the second stage includes AI simulation, which simulates the inference of the AI entity in a simulation environment.

[0994] As one embodiment, the AI simulation estimates the performance of the inference of the AI entity in a simulation environment before the AI entity is used.

[0995] As one embodiment, the second stage is optional.

[0996] As one embodiment, the third stage includes AI entity loading, which is to obtain the trained AI entity to obtain the desired AI inference function.

[0997] As one embodiment, the third stage is optional.

[0998] As one embodiment, the third stage is not needed when the training function and the inference function are co-located.

[0999] As one embodiment, the fourth stage includes AI inference.

[1000] As one embodiment, the seventh operation includes the first operation.

[1001] Figure 23

[1002] Embodiment 23 illustrates a structural block diagram of a processing device in a first node according to one embodiment of the application; as shown in FIG. 23. In FIG. 23, the processing device 2300 in the first node includes a first receiver 2301 and a first processor 2302, wherein the first processor 2302 is optional. Figure 23 As one embodiment, the first node is a user equipment. Example 24

[1003] As one embodiment, the first node is a user equipment.

[1004] ​As one embodiment, the user equipment is a terminal.

[1005] As one embodiment, the first node is a relay node device.

[1006] As one embodiment, the first receiver 2301 comprises at least one of {antenna 452, receiver 454, receive processor 456, multi-antenna receive processor 458, controller / processor 459, memory 460, data source 467} in embodiment 4.

[1007] As one embodiment, the first processor 2302 comprises at least one of {antenna 452, receiver / transmitter 454, receive processor 456, transmit processor 468, multi-antenna receive processor 458, multi-antenna transmit processor 457, controller / processor 459, memory 460, data source 467} in embodiment 4.

[1008] In embodiment 23, the first receiver 2301 receives a reporting configuration of at least one first type of CSI on a first set of cells, the first set of cells comprising a plurality of serving cells, a generation manner of the first type of CSI being AI-based, the generation manner of the first type of CSI being associated to a first type of identity; receives a first information block, the first information block being used to activate or deactivate a target identity, the target identity being one of the first type of identity.

[1009] As one embodiment, the first processor 2302 transmits at least one first type of CSI.

[1010] In embodiment 23, whether the first information block is applied to all serving cells in the first set of cells depends on whether the first information block is used to activate or deactivate the target identity; when the first information block is used to activate the target identity, the first information block is applied to all serving cells in the first set of cells; when the first information block is used to deactivate the target identity, the first information block is applied to only a first cell, the first cell depending on the first information block, the first cell being one of the serving cells in the first set of cells.

[1011] As one embodiment, when the first information block is used to activate the target identity, the first information block being applied to all serving cells in the first set of cells comprises that the first type of identity associated to the generation manner of at least one first type of CSI on each serving cell in the first set of cells is updated to the target identity.

[1012] As one embodiment, when the first information block is used to deactivate the target identity, the first information block being applied to only the first cell comprises: the first type of CSI on only the first cell in the first cell set satisfying a first condition is dropped or not updated, the first condition comprising the associated first type of identity being the target identity.

[1013] As one embodiment, when the first information block is used to deactivate the target identity, the first information block being applied to only the first cell comprises: the first type of CSI on only the first cell in the first cell set satisfying a first condition is updated to a second type of CSI, the second type of CSI being generated in a manner not based on AI, the first condition comprising the associated first type of identity being the target identity.

[1014] As one embodiment, the first information block indicates the first cell.

[1015] As one embodiment, the first cell is a serving cell on which a physical channel carrying the first information block is located.

[1016] As one embodiment, the reporting configuration of the first type of CSI indicates a first resource set, the first resource set being used for at least one of channel measurement or interference measurement, the first resource set comprising one or more RS resources; the first type of CSI indicating at least one resource in a second resource set, the second resource set comprising resources not belonging to the first resource set.

[1017] As one embodiment, the reporting configuration of the first type of CSI indicates a first resource set, the first resource set being used for at least one of channel measurement or interference measurement, the first resource set comprising one or more RS resources; the generation manner of the first type of CSI comprising: the first node or a target receiver of the reporting configuration of the at least one first type of CSI performing a first operation, an input of the first operation being dependent on measurement based on the first resource set, the first type of CSI being dependent on an output of the first operation.

[1018] As one embodiment, the generation manner of the first type of CSI being associated to a first type of identity comprises: the first operation being associated to the first type of identity.

[1019] As one embodiment, the generation manner of the first type of CSI being associated to a first type of identity comprises: the reporting configuration of the first type of CSI indicating a first type of identity, the first type of identity indicated by the reporting configuration of the first type of CSI being the first type of identity to which the generation manner of the first type of CSI is associated.

[1020] As an embodiment, the first type of CSI is generated by using an AI model identified by the first type of identity, or the first type of CSI is generated by an AI entity identified by the first type of identity, or the first type of CSI is used for an AI function identified by the first type of identity.

[1021] As an embodiment, the first type of CSI is generated by using an AI model identified by the first type of identity, or the first type of CSI is generated by an AI entity identified by the first type of identity, or the first type of CSI is used for an AI function identified by the first type of identity.

[1022] The first receiver 2301 receives a first higher layer parameter.

[1023] The first higher layer parameter indicates the first set of cells.

[1024] As an embodiment, the first type of CSI is generated by using an AI model identified by the first type of identity, or the first type of CSI is generated by an AI entity identified by the first type of identity, or the first type of CSI is used for an AI function identified by the first type of identity.

[1025] The first processor 2302 sends a second information block.

[1026] The second information block indicates that the generation mode of CSI on multiple serving cells is associated with the same first type of identity.

[1027] As an embodiment, the first receiver 2301 receives a signal in the first set of resources.

[1028] As an embodiment, the first receiver 2301 receives a reference signal in the first set of resources, and the first set of resources includes one or more RS resources.

[1029] As an embodiment, the first operation is based on training or AI.

[1030] As an embodiment, the first operation is deployment.

[1031] As an embodiment, the first operation is obtained by loading.

[1032] Figure 24

[1033] Embodiment 24 illustrates a structural block diagram of a processing device in a second node according to an embodiment of the present application; as shown in the accompanying Figure 24 Embodiment 24 illustrates a structural block diagram of a processing device in a second node according to an embodiment of the present application; as shown in the accompanying ​ In the accompanying

[1034] As an embodiment, the second node is a base station device.

[1035] As an embodiment, the second node is a user equipment.

[1036] As one embodiment, the second node is a relay node device.

[1037] As one embodiment, the second processor 2401 includes at least one of {antenna 420, receiver / transmitter 418, receive processor 470, transmit processor 416, multi-antenna receive processor 472, multi-antenna transmit processor 471, controller / processor 475, memory 476} in embodiment 4.

[1038] In embodiment 24, the second processor 2401 transmits a reporting configuration of at least one first type of CSI on a first cell set, the first cell set including a plurality of serving cells, a generation manner of the first type of CSI being AI-based, the generation manner of the first type of CSI being associated to a first type of identity; and transmits a first information block, the first information block being used to activate or deactivate a target identity, the target identity being one of the first type of identity.

[1039] In embodiment 24, whether the first information block is applied to all serving cells in the first cell set depends on whether the first information block is used to activate or deactivate the target identity; when the first information block is used to activate the target identity, the first information block is applied to all serving cells in the first cell set; when the first information block is used to deactivate the target identity, the first information block is applied to only a first cell, the first cell depending on the first information block, the first cell being one of the serving cells in the first cell set.

[1040] As one embodiment, the second processor 2401 receives at least one first type of CSI.

[1041] As one embodiment, when the first information block is used to activate the target identity, the first information block being applied to all serving cells in the first cell set includes that the first type of identity associated to the generation manner of at least one first type of CSI on each serving cell in the first cell set is updated to the target identity.

[1042] As one embodiment, when the first information block is used to deactivate the target identity, the first information block being applied to only the first cell includes that the first type of CSI on only the first cell in the first cell set that satisfies a first condition is dropped or not updated, the first condition including that the associated first type of identity is the target identity.

[1043] As an embodiment, when the first information block is used to deactivate the target identity, the first information block is applied to only the first cell comprises: the first type of CSI on only the first cell in the first cell set that satisfies a first condition is updated to a second type of CSI, the second type of CSI is generated in a manner that is not based on AI, and the first condition includes that the associated first type of identity is the target identity.

[1044] As an embodiment, the first information block indicates the first cell.

[1045] As an embodiment, the first cell is a serving cell on which a physical channel carrying the first information block is located.

[1046] As an embodiment, the reporting configuration of the first type of CSI indicates a first resource set, the first resource set is used for at least one of channel measurement or interference measurement, and the first resource set includes one or more RS resources; the first type of CSI indicates at least one resource in a second resource set, and the second resource set includes resources that do not belong to the first resource set.

[1047] As an embodiment, the reporting configuration of the first type of CSI indicates a first resource set, the first resource set is used for at least one of channel measurement or interference measurement, and the first resource set includes one or more RS resources; the generation manner of the first type of CSI includes: a target receiver of the reporting configuration of the at least one first type of CSI performs a first operation, an input of the first operation depends on measurement based on the first resource set, and the first type of CSI depends on an output of the first operation.

[1048] As an embodiment, the first type of CSI is associated to a first type of identity includes: the first operation is associated to the first type of identity.

[1049] As an embodiment, the first type of CSI is associated to a first type of identity includes: the reporting configuration of the first type of CSI indicates a first type of identity, and the first type of identity indicated by the reporting configuration of the first type of CSI is the first type of identity to which the generation manner of the first type of CSI is associated.

[1050] As an embodiment, the first type of CSI is associated to a first type of identity includes: the generation manner of the first type of CSI uses an AI model identified by a first type of identity, or the first type of CSI is generated by an AI entity identified by a first type of identity, or the first type of CSI is used for an AI function identified by a first type of identity.

[1051] As an embodiment,

[1052] The second processor 2401 transmits a first higher layer parameter.

[1053] The first higher layer parameter indicates the first set of cells.

[1054] As an embodiment, comprising:

[1055] The second processor 2401 receives a second information block.

[1056] The second information block indicates that the generation mode of the CSI on the plurality of serving cells is associated to the same first type identifier.

[1057] As an embodiment, the second processor 2401 transmits a reference signal in the first set of resources.

[1058] As an embodiment, the first operation is based on training or based on AI.

[1059] As an embodiment, the first operation is deployment required.

[1060] As an embodiment, the first operation is obtained by loading.

[1061] Those skilled in the art can understand that all or part of the steps in the foregoing method can be instructed by programs to relevant hardware, and the programs can be stored in a computer readable storage medium, such as a read-only memory, a hard disk, an optical disk or the like. Alternatively, all or part of the steps of the foregoing embodiments can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the foregoing embodiments can be implemented in the form of hardware or in the form of a software function module, and the present application is not limited to any specific form of combination of software and hardware. The user equipment, terminal and UE in the present application include but are not limited to unmanned aerial vehicles, communication modules on unmanned aerial vehicles, remote control aircraft, aircraft, small aircraft, mobile phones, tablet computers, notebooks, vehicle-mounted communication devices, vehicles, vehicles, RSUs, wireless sensors, network cards, Internet of Things terminals, RFID terminals, NB-IOT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, network cards, vehicle-mounted communication devices, low-cost mobile phones, low-cost tablet computers and other wireless communication devices. The base station or system device in the present application includes but is not limited to macro cellular base stations, micro cellular base stations, small cellular base stations, home base stations, relay base stations, eNBs, gNBs, TRPs (Transmitter Receiver Points), GNSSs, relay satellites, satellite base stations, air base stations, RSUs (Road Side Units), unmanned aerial vehicles, test equipment such as wireless communication devices that simulate part of the functions of base stations or signaling testers, and the like.

[1062] Those skilled in the art will understand that the application can be implemented by other specified forms without departing from the core or essential characteristics thereof. Therefore, the presently disclosed embodiments should in no way be considered as descriptive rather than limiting. The scope of the application is determined by the appended claims rather than the preceding description, and all modifications within the equivalent meaning and range of the claims are considered to be included therein.

Claims

1. A method in a first node used for wireless communication, characterized by, Comprising: receiving a reporting configuration of at least one first type of CSI on a first cell set, the first cell set comprising a plurality of serving cells, a generation manner of the first type of CSI being AI-based, the generation manner of the first type of CSI being associated to a first type of identity; receiving a first information block, the first information block being used to activate or deactivate a target identity, the target identity being one of the first type of identity; wherein whether the first information block is applied to all serving cells in the first cell set depends on whether the first information block is used to activate or deactivate the target identity; when the first information block is used to activate the target identity, the first information block is applied to all serving cells in the first cell set; when the first information block is used to deactivate the target identity, the first information block is applied to only a first cell, the first cell depending on the first information block, the first cell being one of the serving cells in the first cell set.

2. The method in the first node according to claim 1, characterized by, when the first information block is used to activate the target identity, the first information block being applied to all serving cells in the first cell set comprises that the first type of identity associated to the generation manner of at least one first type of CSI on each serving cell in the first cell set is updated to the target identity.

3. A method in a first node according to claim 1 or 2, characterized by, when the first information block is used to deactivate the target identity, the first information block being applied to only the first cell comprises that the first type of CSI on only the first cell in the first cell set satisfying a first condition is dropped or not updated, the first condition comprising that the associated first type of identity is the target identity.

4. The method in a first node according to claim 1 or 2, characterized by, when the first information block is used to deactivate the target identity, the first information block being applied to only the first cell comprises that the first type of CSI on only the first cell in the first cell set satisfying a first condition is updated to a second type of CSI, the generation manner of the second type of CSI not being AI-based, the first condition comprising that the associated first type of identity is the target identity.

5. The method in a first node according to any of claims 1 to 4, characterized by, the first information block indicates the first cell.

6. The method in a first node according to any of claims 1 to 4, characterized by, the first cell is a serving cell on which a physical channel carrying the first information block is located.

7. A method in a first node according to any of claims 1 to 6, characterized by, the reporting configuration of the first type of CSI indicates a first resource set, the first resource set being used for at least one of channel measurement or interference measurement, the first resource set comprising one or more RS resources; the first type of CSI indicates at least one resource in a second resource set, the second resource set comprising resources not belonging to the first resource set.

8. A method in a first node according to any of claims 1 to 7, characterized by, The reporting configuration of the first type of CSI indicates a first resource set, the first resource set is used for at least one of channel measurement or interference measurement, the first resource set includes one or more RS resources; the generation manner of the first type of CSI includes that the first node or a target receiver of the reporting configuration of the at least one first type of CSI performs a first operation, an input of the first operation depends on measurement based on the first resource set, and the first type of CSI depends on an output of the first operation.

9. A method in a first node according to claim 8, characterized by, The generation manner of the first type of CSI is associated to the first type of identifier includes that the first operation is associated to the first type of identifier.

10. A terminal, characterized by comprising: The terminal includes one or more processors and a memory; The memory is coupled with the one or more processors, the memory is used to store computer program codes, the computer program codes include computer instructions, and the one or more processors invoke the computer instructions to make the terminal execute the method in any one of claims 1 to 9.

11. A method in a second node used for wireless communication, characterized by, Including: Send a reporting configuration of at least one first type of CSI on a first cell set, the first cell set includes a plurality of serving cells, a generation manner of the first type of CSI is based on AI, and the generation manner of the first type of CSI is associated to a first type of identifier; send a first information block, the first information block is used to activate or deactivate a target identifier, and the target identifier is one of the first type of identifier; Wherein, whether the first information block is applied to all serving cells in the first cell set depends on whether the first information block is used to activate or deactivate the target identifier; When the first information block is used to activate the target identifier, the first information block is applied to all serving cells in the first cell set; when the first information block is used to deactivate the target identifier, the first information block is applied to only a first cell, the first cell depends on the first information block, and the first cell is one of the serving cells in the first cell set.

12. A method in a second node according to claim 11, characterised by, When the first information block is used to activate the target identifier, the first information block is applied to all serving cells in the first cell set includes that the first type of identifier associated to the generation manner of at least one first type of CSI on each serving cell in the first cell set is updated to the target identifier.

13. A method in a second node according to claim 11 or 12, characterized by, When the first information block is used to deactivate the target identifier, the first information block is applied to only the first cell includes that the first type of CSI satisfying a first condition on only the first cell in the first cell set is abandoned to be sent or is not updated, and the first condition includes that the associated first type of identifier is the target identifier.

14. A method in a second node according to claim 11 or 12, characterized by, When the first information block is used to deactivate the target identity, the first information block is applied to only the first cell includes: the first type of CSI on only the first cell in the first cell set that satisfies a first condition is updated to a second type of CSI, the second type of CSI is generated in a manner that is not based on AI, and the first condition includes that the associated first type of identity is the target identity.

15. The method in a second node according to any of claims 11 to 14, characterized by, The first information block indicates the first cell.

16. The method in a second node according to any of claims 11-14, characterized by, The first cell is a serving cell on which a physical channel carrying the first information block is located.

17. A method in a second node according to any of claims 11-16, characterized by, The reporting configuration of the first type of CSI indicates a first resource set, the first resource set is used for at least one of channel measurement or interference measurement, and the first resource set includes one or more RS resources; the first type of CSI indicates at least one resource in a second resource set, the second resource set includes resources that do not belong to the first resource set.

18. A method in a second node according to any of claims 11-17, characterized by, The reporting configuration of the first type of CSI indicates a first resource set, the first resource set is used for at least one of channel measurement or interference measurement, and the first resource set includes one or more RS resources; the generation manner of the first type of CSI includes: a target receiver of the reporting configuration of the at least one first type of CSI performs a first operation, an input of the first operation depends on measurement based on the first resource set, and the first type of CSI depends on an output of the first operation.

19. A method in a second node according to claim 18, characterised by, The generation manner of the first type of CSI is associated to a first type of identity includes: the first operation is associated to the first type of identity.

20. A base station, comprising: The base station includes one or more processors and a memory; The memory is coupled to the one or more processors, and the memory is configured to store computer program code including computer instructions, and the one or more processors are configured to invoke the computer instructions to cause the base station to perform the method according to any one of claims 11 to 19.

Images