Method for node used in wireless communication, and apparatus

Abstract

Disclosed in the present application are a method for a node used in wireless communication, and an apparatus. The method comprises: receiving a first configuration information block, wherein the first configuration information block indicates a first resource set; receiving a first MAC CE; transmitting first CSI, wherein the first resource set is used for at least one of channel measurement or interference measurement of the first CSI; receiving first DCI; and receiving a first signal, wherein the first DCI comprises a target domain, the target domain comprises T1 code points and T2 code points, none of the T1 code points belongs to the T2 code points, and the value of the target domain in the first DCI is one of the T1 code points or one of the T2 code points; when the value of the target domain in the first DCI is one of the T1 code points, quasi co-location information of the first signal depends on the first MAC CE; and when the value of the target domain in the first DCI is one of the T2 code points, the quasi co-location information of the first signal depends on the first CSI. The method improves the transmission performance.

Description

A method and apparatus for use in a node for wireless communication

[0001] This application claims priority to Chinese Patent Application No. 202410711295.7, filed on June 1, 2024, entitled "A Method and Apparatus for Use in a Node for Wireless Communication", the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application relates to transmission methods and apparatus in wireless communication systems, and more particularly to schemes and apparatus for TCI (Transmission Configuration Indicator) in wireless communication systems. Background Technology

[0003] Multi-antenna technology is a key technology in 3GPP (3rd Generation Partner Project) LTE (Long-Term Evolution) and NR (New Radio) systems. It gains additional spatial degrees of freedom by configuring multiple antennas at communication nodes, such as base stations or UEs (User Equipment). Multiple antennas improve communication quality by beamforming, forming beams pointing in a specific direction. When multiple antennas belong to different TRPs (Transmitter Receiver Points) / panels, additional diversity gain can be obtained by utilizing the spatial differences between different TRPs / panels. Since the beams formed by multiple antennas are relatively narrow, the communicating parties need to align the beams to improve communication quality. Starting with NR Release 15, 3GPP introduced the concept of TCI (Transmission Configuration Indication) to assist in beam alignment between transmission nodes. In Release 17, the unified TCI architecture was introduced to unify uplink and downlink beam processing, improving performance and reducing latency.

[0004] In traditional wireless communication, the UE (User Equipment) obtains channel information by measuring downlink reference signals. This channel information includes, but is not limited to, one or more of the following: CRI (CSI-RS Resource Indicator), RI (Rank Indicator), PMI (Precoding Matrix Indicator), or CQI (Channel Quality Indicator).

[0005] With the adoption of new technologies, the increase in the number of antennas, the diversification of application scenarios, and the increasing demands on system performance, traditional measurement and reporting methods incur significant redundant overhead. Therefore, in NR R (release) 18, research on AI (Artificial Intelligence) / ML (Machine Learning) technologies was initiated to explore their impact on system performance and system design. Compared to traditional processing methods, AI / ML offers advantages such as training-based operation and deployment requirements. Summary of the Invention

[0006] The applicant discovered through research that existing beam management schemes need to be enhanced when AI / ML functions are introduced. To address this issue, this application discloses a solution. It should be noted that while many embodiments of this application are geared towards AI / ML, this application is also applicable to other schemes, such as traditional beam management schemes. Furthermore, adopting a unified solution across different scenarios (including but not limited to AI / ML-based schemes and traditional beam management schemes) helps reduce hardware complexity and cost. Where there is no conflict, the embodiments and features in the first node of this application can be applied to the second node, and vice versa. Where there is no conflict, the embodiments and features in the embodiments of this application can be arbitrarily combined with each other.

[0007] As an example, the interpretation of terms in this application is based on the definitions in the 3GPP specification protocol TS38 series.

[0008] As an example, the interpretation of the terms in this application is based on the definitions in the 3GPP specification protocol TS28 series.

[0009] This application discloses a method used in a first node of wireless communication, characterized by comprising:

[0010] Receive a first configuration information block, the first configuration information block indicating a first resource set, the first resource set including one or more RS resources;

[0011] Receive first MAC CE;

[0012] Send a first CSI, wherein the first resource set is used for at least one of the channel measurement or interference measurement of the first CSI;

[0013] Receive the first DCI;

[0014] Receive the first signal;

[0015] Wherein, the first DCI includes a target field, the target field includes at least one bit, the target field includes T1 code points and T2 code points, any one of the T1 code points does not belong to the T2 code points, the value of the target field in the first DCI belongs to either the T1 code points or the T2 code points, T1 is a positive integer, T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of the T1 code points only in the target field; when the value of the target field in the first DCI belongs to the T1 code point, the quasi-co-address information of the first signal depends on the first MAC CE; when the value of the target field in the first DCI belongs to the T2 code point, the quasi-co-address information of the first signal depends on the first CSI.

[0016] As an example, the problem to be solved by this application includes: how to determine the quasi-co-address information of the signal indicated by the MAC CE through DCI in an AI / ML-based beam management scheme.

[0017] As an example, in the above method, the above problem is solved by mapping the quasi-co-address information indicated by MAC CE to different code points in DCI.

[0018] As an example, the characteristics of the above method include: the quasi-co-address information used for signal transmission is obtained based on training or AI.

[0019] As an example, the advantages of the above method include: improved accuracy and real-time performance of channel information reporting, and reduced reporting overhead.

[0020] As an example, the advantages of the above method include: saving signaling overhead.

[0021] As an example, the advantages of the above method include improved transmission flexibility and reliability.

[0022] As an example, the benefits of the above method include: improving the overall performance of the system.

[0023] As an example, the advantages of the above method include good backward compatibility.

[0024] As an example, the advantages of the above method include: selecting a suitable spatial filter to transmit the downlink signal.

[0025] According to one aspect of this application, the first node is a user equipment.

[0026] According to one aspect of this application, the first node is a relay node.

[0027] According to one aspect of this application, the quasi-co-location information of the first signal depending on the first CSI includes: the first CSI includes a first information block and a second information block, the first information block including channel information of a first time slot, the second information block including channel information of a second time slot, the first time slot and the second time slot being different; when the first signal belongs to a first time window in the time domain, the quasi-co-location information of the first signal depends on the first information block; when the first signal belongs to a second time window in the time domain, the quasi-co-location information of the first signal depends on the second information block.

[0028] As an example, the characteristic of the above method is that different quasi-co-address information is applied to signals transmitted in different time windows.

[0029] As an example, the advantages of the above method include: improved accuracy and real-time performance of channel information reporting, and improved transmission reliability.

[0030] According to one aspect of this application, the first MAC CE indicates that at least one first class value is mapped to each of the T2 code points in the target domain, the first class value being different from the TCI state identifier.

[0031] As an example, the advantages of the above method include better adaptability to various application scenarios or terminals, and improved flexibility and adaptability.

[0032] According to one aspect of this application, the first type of value is used to identify a CSI reporting configuration; when the value of the target field in the first DCI belongs to the T2 code points, the value of the target field in the first DCI is a first code point, and a first type of value mapped to the first code point of the target field is used to identify the reporting configuration of the first CSI, and the first configuration information block is the reporting configuration of the first CSI.

[0033] As an example, the advantages of the above method include good flexibility.

[0034] According to one aspect of this application, N1 CSIs are sent by the first node, wherein the first CSI is one of the N1 CSIs, and N1 is a positive integer greater than 1; wherein,

[0035] The first CSI is the highest priority CSI among the N1 CSIs;

[0036] Alternatively, the first CSI is the latest CSI sent among the N1 CSIs;

[0037] Alternatively, N1 CSI reporting configuration identifiers are used to identify the reporting configurations of the N1 CSIs, with the first CSI depending on a default value among the N1 CSI reporting configuration identifiers.

[0038] As an example, the advantages of the above method include: the UE sends multiple CSIs to report channel information, providing the base station with more accurate channel information and improving system performance.

[0039] According to one aspect of this application, the first node sends N2 CSIs, wherein the first CSI is one of the N2 CSIs, and N2 is a positive integer greater than 1; the first CSI is a CSI generated based on training or based on AI from the N2 CSIs.

[0040] As an example, the advantages of the above method include better adaptability to various application scenarios or terminals, and improved flexibility and adaptability.

[0041] As an example, the advantages of the above method include improved accuracy of channel information reporting.

[0042] According to one aspect of this application, the generation of the first CSI is characterized by being based on training or AI.

[0043] As an example, the AI ​​(Artificial Intelligence) includes ML (Machine Learning).

[0044] As an example, the advantages of the above method include: better adaptability to various application scenarios and terminals, and improved flexibility and adaptability.

[0045] As an example, the advantages of the above method include: improved accuracy and real-time performance of channel information reporting.

[0046] According to one aspect of this application, it is characterized by comprising:

[0047] Perform a first operation, the input of which depends on the measurement of the first resource set; the first CSI depends on the output of the first operation.

[0048] As an example, the advantages of the above method include: improved accuracy and real-time performance of channel information reporting.

[0049] According to one aspect of this application, the first operation is characterized in that it is based on training or AI.

[0050] As an example, the AI ​​(Artificial Intelligence) includes ML (Machine Learning).

[0051] As an example, the advantages of the above method include: better adaptability to various application scenarios and terminals, and improved flexibility and adaptability.

[0052] According to one aspect of this application, it is characterized by comprising:

[0053] Deploy the first operation.

[0054] As an example, the advantages of the above method include: it provides sufficient freedom for the first node, adapting to various different scenarios and terminals, and has adaptability and flexibility.

[0055] As an example, the advantages of the above method include: training for the first operation can be performed outside the first node, reducing the processing power requirements and power consumption of the first node.

[0056] According to one aspect of this application, the first CSI indicates at least one resource in a second resource set, the second resource set including resources that do not belong to the first resource set.

[0057] As an example, the advantages of the above method include reducing the overhead required to obtain channel information.

[0058] As an example, the advantages of the above method include reducing the measurement resources required to obtain channel information.

[0059] According to one aspect of this application, it is characterized by comprising:

[0060] A reference signal is received in the first resource set.

[0061] As an example, the advantages of the above method include good backward compatibility.

[0062] This application discloses a method used in a second node for wireless communication, characterized by comprising:

[0063] Send a first configuration information block, the first configuration information block indicating a first resource set, the first resource set including one or more RS resources;

[0064] Send the first MAC CE;

[0065] Receive a first CSI, wherein the first resource set is used for at least one of the channel measurement or interference measurement of the first CSI;

[0066] Send the first DCI;

[0067] Send the first signal;

[0068] Wherein, the first DCI includes a target field, the target field includes at least one bit, the target field includes T1 code points and T2 code points, any one of the T1 code points does not belong to the T2 code points, the value of the target field in the first DCI belongs to either the T1 code points or the T2 code points, T1 is a positive integer, T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of the T1 code points only in the target field; when the value of the target field in the first DCI belongs to the T1 code point, the quasi-co-address information of the first signal depends on the first MAC CE; when the value of the target field in the first DCI belongs to the T2 code point, the quasi-co-address information of the first signal depends on the first CSI.

[0069] According to one aspect of this application, the second node is a base station.

[0070] According to one aspect of this application, the second node is a user equipment.

[0071] According to one aspect of this application, the second node is a relay node.

[0072] According to one aspect of this application, the quasi-co-location information of the first signal depending on the first CSI includes: the first CSI includes a first information block and a second information block, the first information block including channel information of a first time slot, the second information block including channel information of a second time slot, the first time slot and the second time slot being different; when the first signal belongs to a first time window in the time domain, the quasi-co-location information of the first signal depends on the first information block; when the first signal belongs to a second time window in the time domain, the quasi-co-location information of the first signal depends on the second information block.

[0073] According to one aspect of this application, the first MAC CE indicates that at least one first class value is mapped to each of the T2 code points in the target domain, the first class value being different from the TCI state identifier.

[0074] According to one aspect of this application, the first type of value is used to identify a CSI reporting configuration; when the value of the target field in the first DCI belongs to the T2 code points, the value of the target field in the first DCI is a first code point, and a first type of value mapped to the first code point of the target field is used to identify the reporting configuration of the first CSI, and the first configuration information block is the reporting configuration of the first CSI.

[0075] According to one aspect of this application, N1 CSIs are sent by the target receiver of the first configuration information block, wherein the first CSI is one of the N1 CSIs, and N1 is a positive integer greater than 1; wherein,

[0076] The first CSI is the highest priority CSI among the N1 CSIs;

[0077] Alternatively, the first CSI is the latest CSI sent among the N1 CSIs;

[0078] Alternatively, N1 CSI reporting configuration identifiers are used to identify the reporting configurations of the N1 CSIs, with the first CSI depending on a default value among the N1 CSI reporting configuration identifiers.

[0079] According to one aspect of this application, N2 CSIs are sent by the target recipient of the first configuration information block, wherein the first CSI is one of the N2 CSIs, and N2 is a positive integer greater than 1; the first CSI is a CSI generated based on training or based on AI among the N2 CSIs.

[0080] According to one aspect of this application, the generation of the first CSI is characterized by being based on training or AI.

[0081] According to one aspect of this application, the target recipient of the first configuration information block performs a first operation, the input of the first operation depending on a measurement based on the first resource set; the first CSI depends on the output of the first operation.

[0082] According to one aspect of this application, the first operation is characterized in that it is based on training or AI.

[0083] According to one aspect of this application, the first CSI indicates at least one resource in a second resource set, the second resource set including resources that do not belong to the first resource set.

[0084] According to one aspect of this application, it is characterized by comprising:

[0085] Send a reference signal in the first resource set.

[0086] This application discloses a terminal, characterized in that the terminal includes: one or more processors and a memory;

[0087] The memory is coupled to the one or more processors and is used to store computer program code, which includes computer instructions. The one or more processors invoke the computer instructions to cause the terminal to execute the method in the first node.

[0088] This application discloses a base station, characterized in that the base station includes: one or more processors and a memory;

[0089] The memory is coupled to the one or more processors and is used to store computer program code, which includes computer instructions. The one or more processors invoke the computer instructions to cause the base station to perform the method in the second node.

[0090] This application discloses a first node used for wireless communication, characterized in that it comprises:

[0091] A first receiver receives a first configuration information block, the first configuration information block indicating a first resource set, the first resource set including one or more RS resources; receives a first MAC CE; receives a first DCI; and receives a first signal.

[0092] A first transmitter transmits a first CSI, wherein the first resource set is used for at least one of channel measurement or interference measurement of the first CSI;

[0093] Wherein, the first DCI includes a target field, the target field includes at least one bit, the target field includes T1 code points and T2 code points, any one of the T1 code points does not belong to the T2 code points, the value of the target field in the first DCI belongs to either the T1 code points or the T2 code points, T1 is a positive integer, T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of the T1 code points only in the target field; when the value of the target field in the first DCI belongs to the T1 code point, the quasi-co-address information of the first signal depends on the first MAC CE; when the value of the target field in the first DCI belongs to the T2 code point, the quasi-co-address information of the first signal depends on the first CSI.

[0094] This application discloses a second node used for wireless communication, characterized in that it comprises:

[0095] The second transmitter transmits a first configuration information block, which indicates a first resource set, the first resource set including one or more RS resources; transmits a first MAC CE; transmits a first DCI; and transmits a first signal.

[0096] A second receiver receives a first CSI, wherein the first resource set is used for at least one of channel measurement or interference measurement of the first CSI;

[0097] Wherein, the first DCI includes a target field, the target field includes at least one bit, the target field includes T1 code points and T2 code points, any one of the T1 code points does not belong to the T2 code points, the value of the target field in the first DCI belongs to either the T1 code points or the T2 code points, T1 is a positive integer, T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of the T1 code points only in the target field; when the value of the target field in the first DCI belongs to the T1 code point, the quasi-co-address information of the first signal depends on the first MAC CE; when the value of the target field in the first DCI belongs to the T2 code point, the quasi-co-address information of the first signal depends on the first CSI.

[0098] As an example, compared with conventional solutions, this application has the following advantages:

[0099] Higher accuracy and real-time performance of channel information, resulting in enhanced overall system performance;

[0100] Lower air interface overhead;

[0101] More flexible and diverse input information;

[0102] Better flexibility and adaptability;

[0103] Enhanced reliability and robustness. Attached Figure Description

[0104] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0105] Figure 1 illustrates a flowchart of a first configuration information block, a first MAC CE, a first CSI, a first DCI, and a first signal according to an embodiment of this application;

[0106] Figure 2 shows a schematic diagram of a network architecture according to an embodiment of this application;

[0107] Figure 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for the user plane and control plane according to an embodiment of this application;

[0108] Figure 4 shows a schematic diagram of a first communication device and a second communication device according to an embodiment of this application;

[0109] Figure 5 illustrates a flowchart of the transmission between a first node and a second node according to an embodiment of this application;

[0110] Figure 6 illustrates a schematic diagram of the quasi-co-address information of a first signal depending on a first CSI according to an embodiment of this application;

[0111] Figure 7 illustrates a schematic diagram of the relationship between the first class value and T2 code points according to an embodiment of this application;

[0112] Figure 8 illustrates a schematic diagram of a first type value of a first code point mapped to a target domain, according to an embodiment of the present application, being used to identify the reporting configuration of the first CSI;

[0113] Figure 9 shows a schematic diagram of a first CSI according to an embodiment of this application;

[0114] Figure 10 shows a schematic diagram of a first CSI according to another embodiment of this application;

[0115] Figure 11 illustrates a schematic diagram of the generation of a first CSI based on training or AI according to an embodiment of this application;

[0116] Figure 12 shows a schematic diagram of a first node performing a first operation according to an embodiment of this application;

[0117] Figure 13 shows a schematic diagram of a first operation according to an embodiment of this application;

[0118] Figure 14 shows a schematic diagram of the deployment of a first operation on a first node according to an embodiment of this application;

[0119] Figure 15 shows a schematic diagram of a second resource set according to an embodiment of this application;

[0120] Figure 16 shows a schematic diagram of receiving a reference signal in a first resource set according to an embodiment of the present application.

[0121] Figure 17 shows a schematic diagram of a first operation according to an embodiment of this application.

[0122] Figure 18 shows a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of this application;

[0123] Figure 19 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of this application;

[0124] Figure 20 shows a structural block diagram of a processing apparatus for a first node according to an embodiment of the present application;

[0125] Figure 21 shows a structural block diagram of a processing apparatus for a second node according to an embodiment of the present application. Detailed Implementation

[0126] The technical solutions of this application will be further described in detail below with reference to the accompanying drawings. It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of this application can be arbitrarily combined with each other. Considering performance, flexibility, complexity, overhead, and compatibility, those skilled in the art are motivated to flexibly combine the embodiments in different drawings without conflict, such as, but not limited to, the embodiments in Figure 1 and the embodiments in Figures 5-21, the embodiments in Figure 5 and the embodiments in Figures 6-21, etc.

[0127] Example 1

[0128] Example 1 illustrates a flowchart of a first configuration information block, a first MAC CE, a first CSI, a first DCI, and a first signal according to an embodiment of this application, as shown in Figure 1. In Figure 1, each block represents a step. In particular, the order of the steps in the blocks does not represent a specific temporal relationship between the steps.

[0129] In Embodiment 1, the first node receives a first configuration information block in step 101; receives a first MAC CE in step 102; transmits a first CSI in step 103; receives a first DCI in step 104; and receives a first signal in step 105. The first configuration information block indicates a first resource set, which includes one or more RS resources. The first resource set is used for at least one of channel measurement or interference measurement of the first CSI. The first DCI includes a target domain, which includes at least one bit. The target domain includes T1 code points and T2 code points, where any one of the T1 code points does not belong to the T2 code points. The value of the target domain in the first DCI belongs to either the T1 code points or the T2 code points, where T1 is a positive integer and T2 is a positive integer. The first MAC CE indicates that at least one TCI state is mapped to each of the T1 code points in the target domain. When the value of the target domain in the first DCI belongs to the T1 code points, the quasi-co-address information of the first signal depends on the first MAC CE. CE; When the value of the target field in the first DCI belongs to the T2 code points, the quasi-co-address information of the first signal depends on the first CSI.

[0130] As one embodiment, the first configuration information block is carried by higher layer signaling.

[0131] As an example, the first configuration information block is carried by RRC (Radio Resource Control) signaling.

[0132] As an example, the first configuration information block is carried by an RRC IE (Information Element).

[0133] As an example, the first configuration information block is carried by at least one RRC IE.

[0134] As an example, the first configuration information block includes information from one or more domains in at least one RRC IE.

[0135] As one embodiment, the first configuration information block includes information from one or more domains of each of the plurality of RRC IEs.

[0136] As an example, the first configuration information block is an RRC IE.

[0137] As an example, the first configuration information block belongs to CSI-ReportConfig IE.

[0138] As an example, the first configuration information block belongs to ServingCellConfig IE.

[0139] As an example, the first configuration information block belongs to CSI-MeasConfig IE.

[0140] As an example, the first configuration information block belongs to ServingCellConfigCommon IE.

[0141] As an example, the first configuration information block belongs to ServingCellConfigCommonSIB IE.

[0142] As one embodiment, the first configuration information block includes some or all of the fields in the CSI-ReportConfig IE.

[0143] As one embodiment, the first configuration information block includes some or all of the domains in ServingCellConfig IE.

[0144] As one embodiment, the first configuration information block includes some or all of the domains in CSI-MeasConfig IE.

[0145] As one embodiment, the first configuration information block includes some or all of the domains in the ServingCellConfigCommon IE.

[0146] As one embodiment, the first configuration information block includes some or all of the domains in the ServingCellConfigCommonSIB IE.

[0147] As an example, the resources in the first resource set include at least one of antenna port, TCI (Transmission Configuration Indication) status, QCL (Quasi Co-Location) information, time-frequency resources, time-frequency code resources, beam, RS resources, vector, or matrix.

[0148] As one embodiment, the first resource set includes one or more RS (Reference Signal) resource sets, and an RS resource set includes one or more RS resources.

[0149] As one embodiment, the first resource set includes at least one of at least a CSI-RS resource set, at least one CSI-SSB (Channel State Information-Synchronization Signal Block) resource set, or at least one CSI-IM (Channel State Information-Interference Measurement) resource set.

[0150] As one embodiment, the first resource set includes at least one RS resource set for channel measurement, and an RS resource set for channel measurement includes one or more RS resources.

[0151] As one embodiment, the first resource set includes at least one RS resource set for channel measurement and at least one RS resource set for interference measurement; an RS resource set for channel measurement includes one or more RS resources, and an RS resource set for interference measurement includes one or more RS resources.

[0152] As one embodiment, the first resource set includes at least one RS resource set for interference measurement; an RS resource set for interference measurement includes one or more RS resources.

[0153] As an example, a set of RS resources for channel measurement includes one or more RS resources, wherein any RS resource in the set of RS resources for channel measurement is a CSI-RS resource or a synchronization signal resource.

[0154] As an example, a set of RS resources for interference measurement includes one or more RS resources.

[0155] As an example, an RS resource set for interference measurement includes one or more RS resources, wherein any RS resource in the RS resource set for interference measurement is a CSI-IM resource or an NZP (non-zero power) CSI-RS resource for interference measurement.

[0156] As one example, the first resource set includes one or more RS resources.

[0157] As one embodiment, the first resource set includes one or more downlink RS resources.

[0158] As one embodiment, the first resource set includes one or more RS resources, and any RS resource in the first resource set is a CSI-RS (Channel State Information Reference Signal) resource or a synchronization signal resource.

[0159] As one embodiment, the synchronization signal resources include at least the resources occupied by the synchronization signal.

[0160] As an example, the synchronization signal resource is an SSB (Synchronization Signal Block).

[0161] As an example, the synchronization signal resource is an SS / PBCH (synchronization signal / physical broadcast channel) block resource.

[0162] As an example, the first configuration information block indicates at least one resource configuration, and the at least one resource configuration indicates the first resource set.

[0163] As one embodiment, the first configuration information block includes at least one resource configuration, the at least one resource configuration indicating the first resource set.

[0164] As an example, a resource configuration is used to configure CSI resources.

[0165] As an example, a resource configuration is an IE CSI-ResourceConfig.

[0166] As an example, a resource configuration is carried by an RRC IE.

[0167] As an example, a resource configuration is carried by the CSI-ResourceConfig IE.

[0168] As one embodiment, the first configuration information block indicates the configuration information of the first resource set.

[0169] As one embodiment, the first configuration information block indicates the identifier of the first resource set.

[0170] As an example, the name of the first MAC CE includes TCI States Activation / Deactivation.

[0171] As an example, the name of the first MAC CE includes Unified TCI States.

[0172] As an example, the name of the first MAC CE includes TCI States.

[0173] As one embodiment, the first MAC CE includes a CORESET (Control resource set) Pool ID field, a Serving Cell ID field, a DL BWP ID field, a UL BWP ID field, and a T i At least one of the following: the domain, and the TCI state ID domain.

[0174] As an example, the first MAC CE includes at least one TCI state ID field.

[0175] As an example, the TCI state ID field of the first MAC CE indicates an index of at least one TCI state.

[0176] As an example, the index of the TCI state is TCI-StateId or TCI-UL-StateId.

[0177] As an example, the index of the TCI state is TCI-StateId or TCI-UL-StateId-r17.

[0178] As an example, the first MAC CE includes at least one T i domain.

[0179] As an example, the T of the first MAC CE i The field indicates whether a TCI state is an activation or deactivation state, and the TCI state is identified by TCI-StateId i.

[0180] As a sub-implementation of the above embodiment, the T of the first MAC CE i When the domain is set to 1, the TCI state identified by TCI-StateId i is activated; the TCI state of the first MAC CE is activated. i When the field is set to 0, the TCI state identified by TCI-StateId i is deactivated.

[0181] As a sub-implementation of the above embodiment, the T of the first MAC CE i When the domain is set to 1, the TCI state identified by TCI-StateId i should be activated; the TCI state of the first MAC CE should be activated. i When the field is set to 0, the TCI state identified by TCI-StateId i should be deactivated.

[0182] As an example, the first DCI includes DCI format 1_1.

[0183] As an example, the first DCI includes DCI format 1_2.

[0184] As an example, the first DCI is DCI format 1_1 or DCI format 1_2.

[0185] As an example, the first DCI includes a target domain, which is a Transmission Configuration Indicator (TCI) domain.

[0186] As an example, the first DCI carries a TCI state indication and has no downlink assignment.

[0187] As an example, the first DCI carries the TCI State indication and schedules the PDSCH.

[0188] As an example, the first DCI indicates the scheduling information of the scheduled PDSCH.

[0189] As an example, the scheduling information includes one or more of the following: time-domain resources, frequency-domain resources, MCS (Modulation and coding scheme), DMRS port, HARQ (Hybrid Automatic Repeat request) process number, RV (Redundancy Version), or NDI (New Data Indicator).

[0190] Typically, the target domain is the Transmission Configuration Indicator domain.

[0191] As an example, the first CSI includes at least one CSI report.

[0192] As one example, the first CSI includes predicted channel information.

[0193] As one embodiment, the first CSI includes predicted beam information.

[0194] As an example, the first 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).

[0195] As an example, the first CSI includes one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, Capability Index, and TDCP.

[0196] As one embodiment, the first CSI includes a channel matrix.

[0197] As one example, the first CSI includes a feature vector.

[0198] As an example, the first CSI includes a feature vector and feature values.

[0199] As an example, the first CSI includes precoded information.

[0200] As one embodiment, the first CSI includes pre-encoded information based on a non-codebook.

[0201] As an example, the first CSI is used to determine at least one precoding matrix.

[0202] As an example, the first CSI indicates at least one precoding matrix.

[0203] As an example, the precoding matrix is ​​in the spatial-frequency domain.

[0204] As an example, the precoding matrix is ​​an angular-delay domain projection.

[0205] As one embodiment, the first CSI includes information on the relative phase, amplitude, and / or coefficients between multiple antenna ports.

[0206] As an example, the first CSI includes compressed CSI.

[0207] As an example, the first CSI includes predicted / estimated CSI.

[0208] As an example, the first resource set is used for channel measurement of the first CSI, and any RS resource in the first resource set used for the channel measurement of the first CSI is a CSI-RS resource or a synchronization signal resource.

[0209] As an example, the first resource set is used for interference measurement of the first CSI, and any RS resource in the first resource set used for the interference measurement of the first CSI is a CSI-IM resource or an NZP (non-zero power) CSI-RS resource for interference measurement.

[0210] In one embodiment, the target domain further includes a code point in addition to the T1 and T2 code points.

[0211] As an example, the T2 code points are indicated to the first node by the sender of the first configuration information block.

[0212] As an example, the T1 code points are indicated by the first MAC CE.

[0213] As an example, the T2 code points are indicated by the first MAC CE.

[0214] As an example, the T2 code points are predefined.

[0215] As an example, the T2 code points are configurable.

[0216] As an example, the T2 code points are the default.

[0217] As an example, the T2 code points are the default code points in the target domain.

[0218] As an example, the T2 code points being the default code points in the target domain includes: the T2 code points being the smallest T2 code points in the target domain.

[0219] As an example, the T2 code points being the default code points in the target domain includes: the T2 code points being the largest T2 code points in the target domain.

[0220] As an example, the T2 code points being the default code points in the target domain includes: the T2 code points being the smallest T2 code points among all code points in the target domain, excluding the T1 code points.

[0221] As an example, the T2 code points being the default code points in the target domain includes: the T2 code points being the largest T2 code points among all code points in the target domain, excluding the T1 code points.

[0222] As an example, the value of the target field in the first DCI belonging to the T1 code points includes: the candidates for the value of the target field in the first DCI include T1 values, and the T1 values ​​correspond to the T1 code points in sequence.

[0223] As an example, the value of the target field in the first DCI belonging to the T1 code points includes: the candidates for the value of the target field in the first DCI include T1 values, and the T1 values ​​are respectively equal to the T1 code points.

[0224] As an example, the value of the target field in the first DCI belonging to the T2 code points includes: the candidates for the value of the target field in the first DCI include T2 values, and the T2 values ​​correspond to the T2 code points in sequence.

[0225] As an example, the value of the target field in the first DCI belonging to the T2 code points includes: the candidates for the value of the target field in the first DCI include T2 values, and the T2 values ​​are respectively equal to the T2 code points.

[0226] Typically, the first MAC CE indicating that at least one TCI state is mapped to each of only T1 code points in the target domain includes: the first MAC CE indicating that at least one TCI state is mapped to each of only T1 code points in the T1 code points and the T2 code points.

[0227] Typically, the first MAC CE indicating that at least one TCI state is mapped to each of only T1 code points in the target domain includes: the first MAC CE not indicating a TCI state for any of the T2 code points.

[0228] Typically, the first MAC CE indicating that at least one TCI state is mapped to each of the T1 code points in the target domain means that the first MAC CE indicates that T1 TCI state groups are respectively mapped to T1 code points in the target domain, and any TCI state group in the T1 TCI state groups includes one or more TCI states.

[0229] As an example, the first MAC CE indicating that at least one TCI state is mapped to each of the T1 code points in the target domain means that the first MAC CE indicates that the T1 TCI state groups are mapped to the T1 code points in the target domain according to their ordinal positions in the T1 TCI state groups, and any TCI state group in the T1 TCI state groups includes one or more TCI states.

[0230] As an example, the first signal is a PDSCH scheduled by the first DCI.

[0231] As an example, the first signal is a first type of signal.

[0232] As an example, the quasi-co-address information of the first signal includes: the quasi-co-address parameters of the first signal.

[0233] As an example, the quasi-co-address information of the first signal includes: and the first signal is a quasi-co-addressable RS resource.

[0234] As an example, the quasi-co-address information of the first signal includes: the TCI status of the RS resource indicating that the first signal is quasi-co-addressable.

[0235] As an example, the quasi-co-address information of the first signal includes: the TCI state of the first signal.

[0236] As an example, the TCI state includes the TCI state identified by TCI-StateId.

[0237] As an example, the TCI state includes the TCI state identified by TCI-StateId and the TCI state identified by TCI-UL-StateId.

[0238] As an example, the TCI state includes the DL / joint TCI state.

[0239] As an example, the TCI status includes DL / joint TCI status and UL TCI status.

[0240] As an example, the TCI state indicates a quasi co-location relationship.

[0241] As an example, the TCI state indicates one or more reference signal resources.

[0242] As an example, the TCI state indicates at least one reference signal resource.

[0243] As an example, any reference signal resource indicated by the TCI state is one of the following: SRS (Sounding Reference Signal) resource, CSI-RS (Channel State Information Reference Signal) resource, or SS / PBCH (Synchronization Signal / Physical Broadcast Channel) block resource.

[0244] As an example, any reference signal resource indicated by the TCI state is a CSI-RS resource or an SS / PBCH block resource.

[0245] As an example, the TCI state indicates at least one reference signal resource and the quasi-co-location (QCL) parameter corresponding to each reference signal resource.

[0246] As an example, the TCI state indicates at least one reference signal resource and the type of the quasi-co-address parameter corresponding to each reference signal resource.

[0247] As an example, the types of the quasi-co-address parameters include TypeA, TypeB, TypeC, and TypeD.

[0248] As an example, the quasi-co-address parameters of type TypeA include Doppler shift, Doppler spread, average delay, and delay spread.

[0249] As an example, the quasi-co-address parameters of type TypeB include Doppler shift and Doppler spread.

[0250] As an example, the quasi-co-address parameters of type TypeC include Doppler shift and average delay.

[0251] As an example, the quasi-co-address parameters of type TypeD include the spatial Rx parameter.

[0252] As an example, the specific definitions of Type A, Type B, Type C and Type D can be found in section 5.1.5 of 3GPP TS38.214.

[0253] As an example, the quasi-co-address parameters include one or more of delay spread, Doppler spread, Doppler shift, average delay, or spatial Rx parameter.

[0254] As one embodiment, the quasi-co-address parameters include Doppler shift and Doppler spread.

[0255] As one embodiment, the quasi-co-address parameters include Doppler shift and average delay.

[0256] As one embodiment, the quasi-co-address parameters include spatial Rx parameters.

[0257] As one embodiment, the quasi-co-address parameters include at least one of spatial transmission parameters or spatial reception parameters.

[0258] As one embodiment, the quasi-co-address parameters include a spatial domain receive filter.

[0259] As one embodiment, the quasi-co-address parameters include a spatial domain filter.

[0260] As one embodiment, the quasi-co-address parameters include at least one of a spatial domain transmit filter or a spatial domain receive filter.

[0261] As an example, when the value of the target field in the first DCI belongs to the T1 code points, the quasi-co-address information of the first signal depending on the first MAC CE includes: the quasi-co-address information of the first signal is indicated by the first MAC CE.

[0262] As an example, when the value of the target field in the first DCI belongs to the T1 code points, the quasi-co-address information of the first signal depending on the first MAC CE includes: the value of the target field in the first DCI is a second code point, and the TCI state of the first signal is the TCI state of the second code point mapped to the target field indicated by the first MAC CE.

[0263] As an example, when the value of the target field in the first DCI belongs to the T1 code points, the quasi-co-address information of the first signal depending on the first MAC CE includes: the value of the target field in the first DCI is a second code point, and the RS resources in the TCI states of the first signal and the second code point mapped to the target field indicated by the first MAC CE have the same quasi-co-address parameters.

[0264] As an example, when the value of the target field in the first DCI belongs to the T1 code points, the quasi-co-address information of the first signal depending on the first MAC CE includes: the value of the target field in the first DCI is a second code point, and the RS resources in the TCI state of the first signal and the first MAC CE, which are mapped to the second code point of the target field, are quasi-co-addressable.

[0265] As one embodiment, the quasi-co-address information of the first signal depending on the first CSI includes: the quasi-co-address information of the first signal is indicated by the first CSI.

[0266] As an example, the quasi-co-address information of the first signal depends on the first CSI, including: the first CSI indicating at least one RS resource, and the first signal and the at least one RS resource indicated by the first CSI being quasi-co-addressed.

[0267] As an example, the quasi-co-address information of the first signal depends on the first CSI, including: the first CSI indicating at least one TCI state, and the RS resources in the first signal and the at least one TCI state indicated by the first CSI being quasi-co-addressed.

[0268] As one embodiment, the quasi-co-location information of the first signal depending on the first CSI includes: the first CSI indicating at least one beam, and the transmission or reception of the first signal using the at least one beam indicated by the first CSI.

[0269] Example 2

[0270] Example 2 illustrates a schematic diagram of a network architecture according to an embodiment of this application, as shown in Figure 2.

[0271] Figure 2 illustrates network architecture 200. Network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or a 5G+ network architecture, or a 6G network architecture, or a network architecture adopted in future evolutions by 3GPP; network architecture 200 may be referred to as 5GS (5G System) / EPS (Evolved Packet System), or 6GS (6G System); network architecture 200 includes at least one of UE (User Equipment) 201, RAN (Radio Access Network) 202, core network 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and Internet service 230. The network architecture 200 can interconnect with other access networks, but these entities / interfaces are not shown for simplicity. As shown, the network architecture 200 provides packet-switched services; however, those skilled in the art will readily understand that the various concepts presented throughout this application can be extended to networks providing circuit-switched services or other cellular networks. The RAN includes node 203. The RAN may also include other nodes 204. Node 203 provides user and control plane protocol termination toward UE 201. Node 203 may be connected to other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. Node 203 may also be referred to as a base station, base transceiver station, radio base station, radio transceiver, transceiver function, Basic Service Set (BSS), Extended Service Set (ESS), TRP (Transmission Reception Point), or some other suitable term. The core network 210 is a 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is a 6GC; node 203 provides UE 201 with an access point to the core network 210.Examples of UE201 include cellular phones, smartphones, Session Initiation Protocol (SIP) phones, laptops, personal digital assistants (PDAs), satellite radios, non-terrestrial base station communications, satellite mobile communications, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband IoT devices, machine-type communication devices, land vehicles, automobiles, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to UE201 as a mobile station, subscriber station, mobile unit, subscriber unit, radio unit, remote unit, mobile device, radio communication device, remote device, mobile subscriber station, access terminal, mobile terminal, radio terminal, remote terminal, handheld device, user agent, mobile client, client, or any other suitable term. Node 203 is connected to the core network 210 via an S1 / NG interface. The core network 210 includes an MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MMEs / AMFs / SMFs 214, an S-GW (Service Gateway) / UPF (User Plane Function) 212, and a P-GW (Packet Data Network Gateway) / UPF 213. The MME / AMF / SMF 211 is the control node that handles signaling between the UE 201 and the core network 210. Generally, the MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocol) packets are transmitted through the S-GW / UPF 212, which is itself connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation and other functions. The P-GW / UPF 213 is connected to the Internet service 230. Internet services 230 include operator-compliant Internet protocol services, which may specifically include Internet, intranet, IMS (IP Multimedia Subsystem), and packet switching services.

[0272] As an example, the first node includes the UE201.

[0273] As one embodiment, the second node includes the node 203.

[0274] As an example, the wireless link between the UE201 and the node203 includes a cellular link.

[0275] As an example, the sender of the first configuration information block includes the node 203.

[0276] As an example, the recipient of the first configuration information block includes the UE201.

[0277] As an example, the sender of the first MAC CE includes the node 203.

[0278] As an example, the receiver of the first MAC CE includes the UE201.

[0279] As an example, the sender of the first DCI includes the node 203.

[0280] As an example, the recipient of the first DCI includes the UE201.

[0281] As an example, the sender of the first signal includes the node 203.

[0282] As an example, the receiver of the first signal includes the UE201.

[0283] As an example, the sender of the reference signal in the first resource set includes the node 203.

[0284] As an example, the receiver of the reference signal in the first resource set includes the UE201.

[0285] As an example, the sender of the first CSI includes the UE201.

[0286] As an example, the recipient of the first CSI includes the node 203.

[0287] Example 3

[0288] Example 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for the user plane and control plane according to an embodiment of this application, as shown in Figure 3.

[0289] Example 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for a user plane and control plane according to this application, as shown in Figure 3. Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300. Figure 3 shows the radio protocol architecture for the control plane 300 between a first communication node device (UE, gNB, or RSU in V2X (Vehicle-to-Everything)) and a second communication node device (gNB, UE, or RSU in V2X), or between two UEs, using three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (Physical Layer) signal processing functions. Layer 1 will be referred to herein as PHY 301. Layer 2 (L2 layer) 305 is above PHY 301 and is responsible for the link between the first and second communication node devices, or between two UEs. Layer L2 305 includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. It also provides security through encrypted data packets and supports cross-cell mobility between the second communication node devices and the first communication node device. The RLC sublayer 303 provides upper-layer packet segmentation and reassembly, retransmission of lost packets, and packet reordering to compensate for out-of-order reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. It is also responsible for allocating various radio resources (e.g., resource blocks) within a cell among the first communication node devices. Furthermore, the MAC sublayer 302 handles HARQ operations. The RRC (Radio Resource Control) sublayer 306 in layer 3 (L3 layer) of control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and configuring the lower layer using RRC signaling between the second communication node device and the first communication node device.The radio protocol architecture of user plane 350 includes Layer 1 (L1 layer) and Layer 2 (L2 layer). The radio protocol architecture for the first and second communication node devices in user plane 350 is largely the same as the corresponding layers and sublayers in control plane 300 for Physical Layer 351, PDCP sublayer 354 in L2 layer 355, RLC sublayer 353 in L2 layer 355, and MAC sublayer 352 in L2 layer 355. However, PDCP sublayer 354 also provides header compression for upper layer packets to reduce radio transmission overhead. L2 layer 355 in user plane 350 also includes SDAP (Service Data Adaptation Protocol) sublayer 356. SDAP sublayer 356 is responsible for mapping between QoS (Quality of Service) streams and Data Radio Bearers (DRBs) to support service diversity. Although not illustrated, the first communication node device may have several upper layers above the L2 layer 355, including a network layer (e.g., IP layer) terminating at the P-GW on the network side and an application layer terminating at the other end of the connection (e.g., remote UE, server, etc.).

[0290] As an example, the wireless protocol architecture in Figure 3 is applicable to the first node.

[0291] As an example, the wireless protocol architecture in Figure 3 is applicable to the second node.

[0292] As an example, the higher layer mentioned in this application refers to the layer above the physical layer.

[0293] As an example, the first configuration information block is generated in the RRC sublayer 306.

[0294] As an example, the first MAC CE is generated in the MAC sublayer 302 or the MAC sublayer 352.

[0295] As an example, the first DCI is generated in the PHY301 or the PHY351.

[0296] As an example, the first signal is generated in the PHY301 or the PHY351.

[0297] As an example, the first CSI is generated in the MAC sublayer 302 or the MAC sublayer 352.

[0298] As an example, the first CSI is generated in the PHY301 or the PHY351.

[0299] Example 4

[0300] Example 4 illustrates a schematic diagram of a first communication device and a second communication device according to an embodiment of this application, as shown in Figure 4. Figure 4 is a block diagram of a first communication device 410 and a second communication device 450 communicating with each other in an access network.

[0301] The first communication device 410 includes a controller / processor 475, a memory 476, a receiver processor 470, a transmitter processor 416, a multi-antenna receiver processor 472, a multi-antenna transmitter processor 471, a transmitter / receiver 418, and an antenna 420.

[0302] The second communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmitting processor 468, a receiving processor 456, a multi-antenna transmitting processor 457, a multi-antenna receiving processor 458, a transmitter / receiver 454, and an antenna 452.

[0303] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, upper-layer data packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements L2 layer functionality. In DL (Downlink), the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation to the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operation, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for L1 layer (i.e., physical layer). Transmit processor 416 performs encoding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, and constellation mapping based on various modulation schemes (e.g., Binary Phase Shift Keying (BPSK), Quadrature Phase Shift Keying (QPSK), M-Phase Shift Keying (M-PSK), and M-Quadrature Amplitude Modulation (M-QAM). Multi-antenna transmit processor 471 performs digital spatial precoding on the encoded and modulated symbols, including codebook-based and non-codebook-based precoding, and beamforming processing, generating one or more parallel streams. Transmit processor 416 then maps each parallel stream to a subcarrier, multiplexes the modulated symbols with a reference signal (e.g., a pilot) in the time and / or frequency domains, and subsequently uses an inverse fast Fourier transform (IFFT). The multi-antenna transmit processor 471 then performs transmit analog precoding / beamforming operations on the time-domain multi-carrier symbol stream using an IFFT (Instantaneous Transformation) technique. Each transmitter 418 converts the baseband multi-carrier symbol stream provided by the multi-antenna transmit processor 471 into an RF stream, which is then provided to different antennas 420.

[0304] In the transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives a signal through its corresponding antenna 452. Each receiver 454 recovers the information modulated onto the radio frequency carrier and converts the radio frequency stream into a baseband multicarrier symbol stream, which is then provided to the receiver processor 456. The receiver processor 456 and the multi-antenna receiver processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receiver processor 458 performs receive analog precoding / beamforming operations on the baseband multicarrier symbol stream from the receiver 454. The receiver processor 456 uses a Fast Fourier Transform (FFT) to convert the baseband multicarrier symbol stream after the receive analog precoding / beamforming operations from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receiver processor 456, where the reference signal is used for channel estimation, and the data signal is recovered in the multi-antenna receiver processor 458 after multi-antenna detection to recover any parallel stream destined for the second communication device 450. Symbols on each parallel stream are demodulated and recovered in the receive processor 456, generating soft decisions. The receive processor 456 then decodes and deinterleaves the soft decisions to recover the upper-layer data and control signals transmitted by the first communication device 410 over the physical channel. The upper-layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of Layer 2 (L2). The controller / processor 459 may be associated with a memory 460 storing program code and data. The memory 460 may be referred to as computer-readable media. In the DL (Layered Logic), the controller / processor 459 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover upper-layer packets from the core network. The upper-layer packets are then provided to all protocol layers above Layer 2. Various control signals may also be provided to Layer 3 (L3) for L3 processing. The controller / processor 459 is also responsible for error detection using ACK (Acknowledgement) and / or NACK (Negative Acknowledgement) protocols to support HARQ operation.

[0305] In the transmission from the second communication device 450 to the first communication device 410, at the second communication device 450, a data source 467 is used to provide upper-layer data packets to the controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmission functions at the first communication device 410 described in the DL, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels based on the radio resource allocation of the first communication device 410, implementing L2 layer functions for the user plane and control plane. The controller / processor 459 is also responsible for HARQ operations, retransmission of lost packets, and signaling to the first communication device 410. Transmit processor 468 performs modulation mapping and channel coding processing, while multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based and non-codebook-based precoding, and beamforming processing. Subsequently, transmit processor 468 modulates the generated parallel stream into a multi-carrier / single-carrier symbol stream. After analog precoding / beamforming operations in multi-antenna transmit processor 457, the stream is provided to different antennas 452 via transmitter 454. Each transmitter 454 first converts the baseband symbol stream provided by multi-antenna transmit processor 457 into a radio frequency symbol stream before providing it to antenna 452.

[0306] In the transmission from the second communication device 450 to the first communication device 410, the function at the first communication device 410 is similar to the receiving function at the second communication device 450 described in the transmission from the first communication device 410 to the second communication device 450. Each receiver 418 receives radio frequency signals through its corresponding antenna 420, converts the received radio frequency signals into baseband signals, and provides the baseband signals to the multi-antenna receiving processor 472 and the receiving processor 470. The receiving processor 470 and the multi-antenna receiving processor 472 jointly implement the L1 layer functions. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 may be associated with a memory 476 that stores program code and data. The memory 476 may be referred to as computer-readable media. The controller / processor 475 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover upper-layer data packets from the second communication device 450. The upper-layer data packets from the controller / processor 475 may be provided to the core network. The controller / processor 475 is also responsible for error detection using ACK and / or NACK protocols to support HARQ operation.

[0307] As one embodiment, the second communication device 450 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The second communication device 450 includes at least: receiving a first configuration information block, the first configuration information block indicating a first resource set, the first resource set including one or more RS resources; receiving a first MAC CE; transmitting a first CSI, the first resource set being used for at least one of channel measurement or interference measurement of the first CSI; receiving a first DCI; receiving a first signal; wherein the first DCI includes a target domain, the target domain including at least one bit, the target domain including T1 code points and T2 code points, any one of the T1 code points not belonging to the T2 code points, the value of the target domain in the first DCI belonging to either the T1 code points or the T2 code points, T1 being a positive integer and T2 being a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of only the T1 code points of the target domain; when the value of the target domain in the first DCI belongs to the T1 code point, the quasi-co-address information of the first signal depends on the first MAC CE; when the value of the target domain in the first DCI belongs to the T2 code point, the quasi-co-address information of the first signal depends on the first CSI.

[0308] As one embodiment, the second communication device 450 includes: a memory storing a computer-readable instruction program that, when executed by at least one processor, produces actions including: receiving a first configuration information block indicating a first resource set, the first resource set including one or more RS resources; receiving a first MAC CE; transmitting a first CSI, the first resource set being used for at least one of channel measurement or interference measurement of the first CSI; receiving a first DCI; receiving a first signal; wherein the first DCI includes a target domain, the target domain including at least one bit, the target domain including T1 code points and T2 code points, any one of the T1 code points not belonging to the T2 code points, the value of the target domain in the first DCI belonging to either the T1 code points or the T2 code points, T1 being a positive integer and T2 being a positive integer; the first MAC CE indicating that at least one TCI state is mapped to each of only the T1 code points of the target domain; when the value of the target domain in the first DCI belongs to the T1 code points, the quasi-co-address information of the first signal depends on the first MAC CE. CE; When the value of the target field in the first DCI belongs to the T2 code points, the quasi-co-address information of the first signal depends on the first CSI.

[0309] As one embodiment, the first communication device 410 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The first communication device 410 includes at least: transmitting a first configuration information block, the first configuration information block indicating a first resource set, the first resource set including one or more RS resources; transmitting a first MAC CE; receiving a first CSI, the first resource set being used for at least one of channel measurement or interference measurement of the first CSI; transmitting a first DCI; and transmitting a first signal; wherein the first DCI includes a target field, the target field including at least one bit, the target field including T1 code points and T2 code points, any one of the T1 code points not belonging to the T2 code points, the value of the target field in the first DCI belonging to either the T1 code points or the T2 code points, T1 being a positive integer and T2 being a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of only the T1 code points of the target field; when the value of the target field in the first DCI belongs to the T1 code point, the quasi-co-address information of the first signal depends on the first MAC CE; when the value of the target field in the first DCI belongs to the T2 code point, the quasi-co-address information of the first signal depends on the first CSI.

[0310] As one embodiment, the first communication device 410 includes: a memory storing a computer-readable instruction program that, when executed by at least one processor, produces actions including: transmitting a first configuration information block indicating a first resource set, the first resource set including one or more RS resources; transmitting a first MAC CE; receiving a first CSI, the first resource set being used for at least one of channel measurement or interference measurement of the first CSI; transmitting a first DCI; transmitting a first signal; wherein the first DCI includes a target domain, the target domain including at least one bit, the target domain including T1 code points and T2 code points, any one of the T1 code points not belonging to the T2 code points, the value of the target domain in the first DCI belonging to either the T1 code points or the T2 code points, T1 being a positive integer and T2 being a positive integer; the first MAC CE indicating that at least one TCI state is mapped to each of only the T1 code points of the target domain; when the value of the target domain in the first DCI belongs to the T1 code points, the quasi-co-address information of the first signal depends on the first MAC CE. CE; When the value of the target field in the first DCI belongs to the T2 code points, the quasi-co-address information of the first signal depends on the first CSI.

[0311] As an example, the first node in this application includes the second communication device 450.

[0312] As an example, the second node in this application includes the first communication device 410.

[0313] As an example, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first configuration information block; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to transmit the first configuration information block.

[0314] As an example, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the reference signal in the first resource set; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to transmit the reference signal in the first resource set.

[0315] As an example, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first MAC CE; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to transmit the first MAC CE.

[0316] As an example, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first DCI; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to transmit the first DCI.

[0317] As an example, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first signal; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to transmit the first signal.

[0318] As an example, at least one of {the antenna 420, the receiver 418, the receiving processor 470, the multi-antenna receiving processor 472, the controller / processor 475, and the memory 476} is used to receive the first CSI; at least one of {the antenna 452, the transmitter 454, the transmitting processor 468, the multi-antenna transmitting processor 457, the controller / processor 459, the memory 460, and the data source 467} is used to transmit the first CSI.

[0319] Example 5

[0320] Example 5 illustrates a flowchart of a transmission between a first node and a second node according to an embodiment of this application, as shown in Figure 5. In Figure 5, the second node U1 and the first node U2 are communication nodes transmitting via an air interface. In Figure 5, the steps in blocks F51 to F53 are optional.

[0321] For the second node U1, in step S511, a reference signal is sent in the first resource set; in step S5101, a first configuration information block is sent; in step S5102, a first CSI is received; in step S5103, a first MAC CE is sent; in step S5104, a first DCI is sent; and in step S5105, a first signal is sent.

[0322] For the first node U2, in step S521, a first operation is deployed; in step S522, a reference signal is received in the first resource set; in step S5201, a first configuration information block is received; in step S523, the first operation is executed; in step S5202, a first CSI is sent; in step S5203, a first MAC CE is received; in step S5204, a first DCI is received; and in step S5205, a first signal is received.

[0323] In Embodiment 5, the first configuration information block indicates a first resource set, which includes one or more RS resources; the first resource set is used for at least one of channel measurement or interference measurement in the first CSI; the first DCI includes a target domain, which includes at least one bit, and includes T1 code points and T2 code points, where any one of the T1 code points does not belong to the T2 code points, and the value of the target domain in the first DCI belongs to either the T1 code points or the T2 code points, where T1 is a positive integer and T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of the T1 code points in the target domain; when the value of the target domain in the first DCI belongs to the T1 code points, the quasi-co-address information of the first signal depends on the first MAC CE; when the value of the target domain in the first DCI belongs to the T2 code points, the quasi-co-address information of the first signal depends on the first CSI.

[0324] As an example, the first node U2 is the first node in this application.

[0325] As an example, the second node U1 is the second node in this application.

[0326] As one embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between the base station equipment and the user equipment.

[0327] As one embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between the relay node device and the user equipment.

[0328] As one embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between user equipment and user equipment.

[0329] In one embodiment, the second node U1 is the serving cell sustaining base station of the first node U2.

[0330] As an example, the steps in block F51 of Figure 5 are present; the method used in the first node for wireless communication includes: deploying a first operation.

[0331] As an example, the steps in block F51 of Figure 5 are present.

[0332] As an example, the deployment of the first operation occurs earlier than the reception of the first configuration information block.

[0333] As an example, the deployment of the first operation is later than the receipt of the first configuration information block.

[0334] As an example, the transmission of the first CSI precedes the reception of the first MAC CE.

[0335] As an example, the transmission of the first CSI is later than the reception of the first MAC CE.

[0336] As an example, the steps in block F52 of Figure 5 are present; the method used in the first node for wireless communication includes: receiving a reference signal in the first resource set.

[0337] As an example, the steps in block F52 of Figure 5 are present; the method in the second node used for wireless communication includes: transmitting a reference signal in the first resource set.

[0338] As an example, the steps in block F53 of Figure 5 are present; the method used in the first node for wireless communication includes: performing a first operation.

[0339] As an example, the first configuration information block is transmitted on PDSCH (Physical Downlink Shared Channel).

[0340] As an example, the first MAC CE is transmitted on PDSCH (Physical Downlink Shared Channel).

[0341] As an example, the first DCI is transmitted on the PDCCH (Physical Downlink Control Channel).

[0342] As an example, the first CSI is transmitted on PUCCH (Physical Uplink Control Channel).

[0343] As an example, the first CSI is transmitted on PUSCH (Physical Uplink Shared Channel).

[0344] As an example, the first signal is transmitted on PDSCH (Physical Downlink Shared Channel).

[0345] As one embodiment, it includes:

[0346] The first transmitter sends a HARQ-ACK corresponding to the first DCI in the first physical channel;

[0347] Wherein, the first signal is a first type of signal in the time domain no earlier than a reference time slot, and the reference time slot is the first time slot later than the first physical channel by at least a reference time interval.

[0348] As one embodiment, the first physical channel includes transmission over PUSCH (Physical uplink shared channel).

[0349] As one embodiment, the first physical channel includes transmission over PUCCH (Physical uplink control channel).

[0350] Typically, the HARQ-ACK corresponding to the first DCI is the positive HARQ-ACK corresponding to the first DCI.

[0351] As an example, the HARQ-ACK corresponding to the first DCI indicates that the first DCI was correctly received.

[0352] As an example, the HARQ-ACK corresponding to the first DCI indicates that the PDSCH scheduled by the first DCI was correctly received.

[0353] As an example, a positive HARQ-ACK corresponding to the first DCI indicates that the first DCI was correctly received.

[0354] As an example, a positive HARQ-ACK corresponding to the first DCI indicates that the PDSCH scheduled by the first DCI was correctly received.

[0355] As an example, the first type of signal is the DMRS of PDSCH.

[0356] As an example, the first type of signal is the DMRS of the PDCCH.

[0357] As an example, the first type of signal is aperiodic CSI-RS.

[0358] As an example, the first type of signal is a downlink signal.

[0359] As an example, the first type of signal is a downlink reference signal.

[0360] As an example, the first type of signal is aperiodic CSI-RS.

[0361] As an example, the first signal is the DMRS of the PDSCH.

[0362] As an example, the first signal is the DMRS of the PDCCH.

[0363] As an example, the first signal is an aperiodic CSI-RS.

[0364] As an example, the first signal is a downlink signal.

[0365] As an example, the first signal is a downlink reference signal.

[0366] As an example, the first signal is an aperiodic CSI-RS.

[0367] As an example, the first signal being a first type of signal in the time domain no earlier than the reference time slot means that the first signal is a first type of signal in the time slot in which it is located no earlier than the reference time slot.

[0368] As an example, the first signal being a first type of signal in the time domain no earlier than the reference time slot means that the first signal is a first type of signal whose starting time slot is no earlier than the reference time slot.

[0369] As an example, the reference time slot is the first time slot that is at least a reference time interval later than the last time slot occupied by the first physical channel.

[0370] As an example, the unit of the reference time interval is a time slot.

[0371] As an example, the reference time interval is the length of a positive integer number of time slots.

[0372] As an example, the reference time interval is beamAppTime.

[0373] As an example, the reference time interval is reported by the first node.

[0374] As an example, the reference time interval is indicated by the capability reporting of the first node.

[0375] Example 6

[0376] Example 6 illustrates a schematic diagram of the quasi-co-address information of a first signal depending on a first CSI according to an embodiment of this application; as shown in Figure 6. In Example 6, the quasi-co-address information of the first signal depending on the first CSI includes: the first CSI includes a first information block and a second information block, the first information block including channel information of a first time slot, the second information block including channel information of a second time slot, the first time slot and the second time slot being different; when the first signal belongs to a first time window in the time domain, the quasi-co-address information of the first signal depends on the first information block; when the first signal belongs to a second time window in the time domain, the quasi-co-address information of the first signal depends on the second information block.

[0377] As one embodiment, the quasi-co-address information of the first signal depending on the first information block includes: the first information block indicating a first TCI state, and the RS resources in the first signal and the first TCI state being quasi-co-addressable; the quasi-co-address information of the first signal depending on the second information block includes: the second information block indicating a second TCI state, and the RS resources in the first signal and the second TCI state being quasi-co-addressable.

[0378] As one embodiment, the quasi-co-address information of the first signal depending on the first information block includes: the first information block indicating a first beam, and the transmission or reception of the first signal using the first beam; the quasi-co-address information of the first signal depending on the second information block includes: the second information block indicating a second beam, and the transmission or reception of the first signal using the second beam.

[0379] As one embodiment, the quasi-co-address information of the first signal depending on the first information block includes: the first information block indicating a first RS resource, the first signal and the first RS resource being quasi-co-addressed; the quasi-co-address information of the first signal depending on the second information block includes: the second information block indicating a second RS resource, the first signal and the second RS resource being quasi-co-addressed.

[0380] As an example, the given signal and the given RS resource are quasi-co-addressable, the given RS resource being the RS resource in the TCI state indicated by the first information block, and the given signal being the first signal.

[0381] As an example, the given signal and the given RS resource are quasi-co-located, the given RS resource being the RS resource in the TCI state indicated by the second information block, and the given signal being the first signal.

[0382] As an example, the given signal and the given RS resource are quasi-co-located, the given RS resource being the RS resource indicated by the first information block, and the given signal being the first signal.

[0383] As an example, the given signal and the given RS resource are quasi-co-addressable, the given RS resource being the RS resource indicated by the second information block, and the given signal being the first signal.

[0384] As one embodiment, quasi-co-located means that the antenna port of the given signal and the given RS resource are quasi-co-located.

[0385] As an example, quasi-co-location of a given signal and a given RS resource includes the following: the reception of the given signal and the reception of the given RS resource apply the same QCL (Quasi Co-Location) parameters.

[0386] As an example, the quasi-co-addressability of a given signal and a given RS resource includes: the first node assumes that the reception of the given signal and the reception of the given RS resource apply the same QCL parameters.

[0387] As one embodiment, quasi-co-addressing of a given signal and a given RS resource includes: the first node receiving the given signal and the given RS resource using the same QCL parameters.

[0388] As one embodiment, quasi-co-addressing of a given signal and a given RS resource includes: the QCL parameters of the given RS resource being applied to the reception of the given signal.

[0389] As one embodiment, applying the QCL parameters of the given RS resource to the reception of the given signal includes: using the QCL parameters of the given RS resource to infer the QCL parameters for receiving the given signal.

[0390] As an example, applying the QCL parameters of the given RS resource to the reception of the given signal includes applying the same QCL parameters to the reception of the given signal and the reception of the given RS resource.

[0391] As an example, applying the QCL parameters of the given RS resource to the reception of the given signal includes: the first node applying the same QCL parameters to receive the given signal and the given RS resource.

[0392] As an example, applying the QCL parameters of the given RS resource to the reception of the given signal includes: the first node assumes that the reception of the given signal and the reception of the given RS resource apply the same QCL parameters.

[0393] As an example, the first CSI is transmitted earlier than the first time slot.

[0394] As an example, the first CSI is transmitted earlier than the second time slot.

[0395] As an example, the first CSI is transmitted earlier than the reference time slot.

[0396] As an example, the reference time slot is no later than the first time slot.

[0397] As an example, the reference time slot is no later than the second time slot.

[0398] As an example, the reference time slot is no later than the start time slot of the first time window.

[0399] As an example, the reference time slot is no later than the start time slot of the second time window.

[0400] As an example, the first time slot and the first time window overlap.

[0401] As an example, the first time slot belongs to the first time window.

[0402] As one example, the second time slot and the second time window overlap.

[0403] As an example, the second time slot belongs to the second time window.

[0404] As one embodiment, the first time window includes one or more consecutive time slots, and the second time window includes one or more consecutive time slots.

[0405] As one embodiment, the number of time slots included in the first time window is the same as the number of time slots included in the second time window.

[0406] As one embodiment, the number of time slots included in the first time window is different from the number of time slots included in the second time window.

[0407] As an example, the end time slot of the first time window and the start time slot of the second time window are two consecutive time slots.

[0408] As an example, any time slot included in the first time window does not belong to the second time window.

[0409] As an example, the end time slot of the first time window and the start time slot of the second time window are two consecutive time slots, with the first time slot belonging to the first time window and the second time slot belonging to the second time window.

[0410] As an example, any time slot included in the first time window does not belong to the second time window; the first time slot belongs to the first time window, and the second time slot belongs to the second time window.

[0411] As an example, the first signal belonging to a first time window in the time domain includes: the time domain resources occupied by the first signal belonging to the first time window.

[0412] As one embodiment, the first signal belonging to a first time window in the time domain includes: the first time window includes the time slot occupied by the first signal.

[0413] As one embodiment, the first signal belonging to the second time window in the time domain includes: the time domain resources occupied by the first signal belonging to the second time window.

[0414] As one embodiment, the first signal belonging to the second time window in the time domain includes: the second time window includes the time slot occupied by the first signal.

[0415] As one example, the channel information includes beam information.

[0416] As one example, the channel information includes predicted channel information.

[0417] As one example, the channel information includes predicted beam information.

[0418] As one embodiment, the beam information includes beam indication or RS resource indication.

[0419] As one example, the beam information includes beam indication and RSRP.

[0420] As one example, the beam information includes RS resource indication and RSRP.

[0421] As an example, the beam information includes one or more of the following: beam indicator, CRI (CSI-RS Resource Indicator), SS / PBCH Block Resource indicator (SSBRI), and RSRP (reference signal received power).

[0422] As an example, the channel information includes one or more of the following: beam indicator, CRI (CSI-RS Resource Indicator), SS / PBCH Block Resource indicator (SSBRI), and RSRP (reference signal received power).

[0423] As an example, the RS resource mentioned in this application is an SS / PBCH (Synchronization Signal / Physical Broadcast Channel) block resource or a CSI-RS (Channel State Information-Reference Signal) resource.

[0424] As an example, the RS resource mentioned in this application is an SSB (Synchronization Signal Block) resource or a CSI-RS resource.

[0425] Example 7

[0426] Example 7 illustrates a schematic diagram of the relationship between a first class value and T2 code points according to an embodiment of this application; as shown in Figure 7. In Figure 7, code points #1, ..., code point #T2 represent T2 code points; first class value groups #1, ..., first class value groups #T2 represent T2 first class value groups, each of the T2 first class value groups including at least one first class value. In Example 7, the first MAC CE indicates that at least one first class value is mapped to each of the T2 code points in the target domain, the first class value being different from the TCI state identifier.

[0427] As one embodiment, the first MAC CE indicating that at least one first class value is mapped to each of the T2 code points in the target domain includes: the first MAC CE indicating that T2 groups of first class values ​​are respectively mapped to the T2 code points in the target domain, wherein any one of the T2 groups of first class values ​​includes at least one first class value.

[0428] As one embodiment, the first MAC CE indicating that at least one first class value is mapped to each of the T2 code points in the target domain includes: the first MAC CE indicating that T2 groups of first class values ​​are sequentially mapped to the T2 code points in the target domain, wherein any one of the T2 groups of first class values ​​includes at least one first class value.

[0429] As an example, the first MAC CE indicating that at least one first class value is mapped to each of the T2 code points in the target domain includes: the first MAC CE indicating that the T2 groups of first class values ​​are mapped to the T2 code points in the target domain according to their ordinal positions in the T2 groups of first class values, wherein any one of the T2 groups of first class values ​​includes at least one first class value.

[0430] As an example, the TCI state identifier is TCI-StateId.

[0431] As an example, the TCI status identifier is used to identify a TCI status.

[0432] As an example, the first type value is the first type identifier in this application.

[0433] As an example, the first type of value is used to identify RS resources.

[0434] As an example, the first type of value is used to indicate which most recent CSI report was submitted.

[0435] As an example, the first type value is used to indicate a time slot earlier than the time slot in which the first DCI is located.

[0436] As an example, the first type of value includes one or more characters.

[0437] As an example, the first type of value is an integer.

[0438] As an example, the first type of value is a non-negative integer.

[0439] Example 8

[0440] Example 8 illustrates a schematic diagram of a first type value of a first code point mapped to a target domain, according to an embodiment of this application, being used to identify the reporting configuration of a first CSI; as shown in Figure 8. In Figure 8, ..., the first code point, ..., represent T2 code points. In Example 8, the first type value is used to identify a CSI reporting configuration; when the value of the target domain in the first DCI belongs to the T2 code points, the value of the target domain in the first DCI is the first code point, and a first type value of the first code point mapped to the target domain is used to identify the reporting configuration of the first CSI, the first configuration information block being the reporting configuration of the first CSI.

[0441] As an example, the first type of value is used to identify a CSI reporting configuration including: the first type of value is CSI-ReportConfigId.

[0442] As an example, T2 CSI reporting configurations are respectively mapped to the T2 code points of the target domain; the generation of CSI under at least one of the T2 CSI reporting configurations is based on training or AI.

[0443] As an example, T2 CSI reporting configurations are respectively mapped to the T2 code points of the target domain; the generation of CSI under each CSI reporting configuration in the T2 CSI reporting configurations is based on training or AI.

[0444] As an example, T2 CSI reporting configurations are respectively mapped to the T2 code points of the target domain; at least one of the T2 CSI reporting configurations indicates a first type of identifier.

[0445] As an example, T2 CSI reporting configurations are respectively mapped to the T2 code points of the target domain; each of the T2 CSI reporting configurations indicates a first type of identifier.

[0446] As an example, at least one first-class value is mapped to the first code point of the target domain.

[0447] As an example, at least one first-class value is mapped to the first code point of the target domain, and the at least one first-class value mapped to the first code point respectively identifies a CSI reporting configuration.

[0448] As an example, a first class value of the first code point mapped to the target domain is used to identify the first configuration information block.

[0449] As an example, a first class value of the first code point mapped to the target domain is used to identify the first configuration information block, which is used to configure the first CSI.

[0450] As an example, a first class value of the first code point mapped to the target domain is used to identify the first configuration information block, the first configuration information block indicating the first resource set, the first resource set being used for at least one of the channel measurement or interference measurement of the first CSI.

[0451] As an example, the first configuration information block is CSI-ReportConfig IE.

[0452] As one example, the first configuration information block includes CSI-ReportConfig IE.

[0453] As an example, the first configuration information block indicates the amount of reporting included in the first CSI.

[0454] As an example, the first configuration information block includes a reportQuantity field, which indicates the report quantity included in the first CSI.

[0455] As an example, the reported quantities included in the first CSI include 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).

[0456] Example 9

[0457] Example 9 illustrates a schematic diagram of a first CSI according to an embodiment of this application; as shown in Figure 9. In Example 9, N1 CSIs are sent by the first node, the first CSI being one of the N1 CSIs, where N1 is a positive integer greater than 1; wherein,

[0458] The first CSI is the highest priority CSI among the N1 CSIs;

[0459] Alternatively, the first CSI is the latest CSI sent among the N1 CSIs;

[0460] Alternatively, N1 CSI reporting configuration identifiers are used to identify the reporting configurations of the N1 CSIs, with the first CSI depending on a default value among the N1 CSI reporting configuration identifiers.

[0461] As an example, the N1 CSIs are carried on the same physical channel.

[0462] As an example, the N1 CSIs are carried on the same PUCCH.

[0463] As an example, the N1 CSIs are carried on the same PUSCH.

[0464] As an example, the N1 CSIs are carried on different physical channels.

[0465] As an example, the N1 CSIs are carried on different PUCCHs or PUSCHs.

[0466] As an example, the N1 CSIs are all generated based on training or AI.

[0467] As an example, at least one of the N1 CSIs is generated based on training or AI.

[0468] As one embodiment, the first CSI being the highest priority CSI among the N1 CSIs includes: the first CSI being the CSI with the lowest priority value among the N1 CSIs.

[0469] Typically, a CSI report is associated with a priority value.

[0470] As an example, each of the N1 CSIs is associated with a priority value.

[0471] As an example, the priority value associated with a CSI is equal to 2·N.cells ·M s ·y+N cells ·M s ·k+M s ·c+s.

[0472] As an example, when the CSI is a non-periodic CSI report carried by PUSCH, y equals 0; when the CSI is a semi-persistent CSI report carried by PUSCH, y equals 1; when the CSI is a semi-persistent CSI report carried by PUCCH, y equals 2; and when the CSI is a periodic CSI report carried by PUCCH, y equals 3.

[0473] As an example, k depends on whether the CSI carries L1-RSRP or L1-SINR; when the CSI carries L1-RSRP or L1-SINR, k equals 0; when the CSI does not carry L1-RSRP or L1-SINR, k equals 1.

[0474] As an example, c is the serving cell index of the CSI.

[0475] As an example, the N cells It is the value of the higher-level parameter maxNrofServingCells.

[0476] As an example, s is reportConfigID, which identifies the reporting configuration of the CSI.

[0477] As an example, the M s It is the value of the higher-level parameter maxNrofCSI-ReportConfigurations.

[0478] As an example, the first CSI relying on a default value among the N1 CSI reporting configuration identifiers means that the first CSI is a CSI whose reporting configuration is identified by the minimum value among the N1 CSI reporting configuration identifiers.

[0479] As an example, the first CSI relying on a default value among the N1 CSI reporting configuration identifiers means that the first CSI is a CSI whose reporting configuration is identified by the maximum value among the N1 CSI reporting configuration identifiers.

[0480] Example 10

[0481] Example 10 illustrates a schematic diagram of a first CSI according to another embodiment of this application; as shown in Figure 10. In Example 10, N2 CSIs are sent by the first node, and the first CSI is one of the N2 CSIs, where N2 is a positive integer greater than 1; the first CSI is a CSI generated based on training or based on AI from the N2 CSIs.

[0482] As an example, N3 of the N2 CSIs are generated based on training or AI, and N3 is a positive integer not greater than N2; wherein,

[0483] The first CSI is the highest priority CSI among the N3 CSIs;

[0484] Alternatively, the first CSI is the latest CSI sent among the N3 CSIs;

[0485] Alternatively, N3 CSI reporting configuration identifiers may be used to identify the reporting configurations of the N3 CSIs, with the first CSI depending on a default value among the N3 CSI reporting configuration identifiers.

[0486] Example 11

[0487] Example 11 illustrates a schematic diagram of a first CSI generation based on training or AI according to an embodiment of this application; as shown in Figure 11. In Example 11, the generation of the first CSI is based on training or AI.

[0488] As an example, the amount of reports included in the first CSI depends on whether the generation of the first CSI is based on training or AI.

[0489] As an example, whether the first CSI includes the first reported amount depends on whether the generation of the first CSI is based on training or AI; the first CSI includes the first reported amount only when the generation of the first CSI is based on training or AI.

[0490] As a sub-implementation of the above embodiments, the first reported quantity includes probability information.

[0491] As a sub-implementation of the above embodiments, the first reported quantity includes confidence information.

[0492] As a sub-implementation of the above embodiments, the first reported quantity includes beam indication.

[0493] As an example, whether the first CSI includes the second reported amount depends on whether the generation of the first CSI is based on training or AI; when the generation of the first CSI is based on training or AI, the first CSI does not include the second reported amount; when the generation of the first CSI is not based on training or AI, the first CSI includes the second reported amount.

[0494] As a sub-implementation of the above embodiments, the second reported quantity is based on the codebook.

[0495] As a sub-implementation of the above embodiments, the second reported quantity includes PMI.

[0496] As a sub-implementation of the above embodiments, the second reported quantity includes CQI.

[0497] As an example, the probability information indicates the probability that the corresponding beam is one or more optimal beams.

[0498] As an example, the probability information represents the probability that the corresponding RS resource is one or more optimal RS resources.

[0499] As an example, the confidence information represents accuracy.

[0500] As an example, the confidence information indicates the accuracy of RSRP.

[0501] As an example, the confidence information represents the accuracy of the differential RSRP.

[0502] As an example, the advantages of the above method include: improving the accuracy and reliability of channel information reporting and enhancing the overall system performance.

[0503] As an example, whether the first CSI is based on the codebook depends on whether the generation of the first CSI is based on training or AI; when the generation of the first CSI is based on training or AI, the first CSI is not based on the codebook; when the generation of the first CSI is not based on training or AI, the first CSI is based on the codebook.

[0504] As an example, when the generation of the first CSI is based on training or AI, the reported amount included in the first CSI belongs to a first set of reported amounts; when the generation of the first CSI is not based on training or AI, the reported amount included in the first CSI belongs to a second set of reported amounts; the first set of reported amounts includes one or more reported amounts; the second set of reported amounts includes one or more reported amounts; one of the reported amounts in the first set of reported amounts does not belong to the second set of reported amounts.

[0505] As an example, the reported quantities in this application include at least one or more of the following: resource indication, beam indication, PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, TDCP, or confidence information.

[0506] As an example, when the generation of the first CSI is based on training or AI, the first CSI does not belong to the CSI defined in 3GPP Rel-18 and earlier versions.

[0507] As an example, when the generation of the first CSI is based on training or AI, the first CSI includes predicted channel or beam information, or compressed CSI.

[0508] As an example, when the generation of the first CSI is based on training or AI, the first CSI includes CSI based on artificial intelligence or machine learning.

[0509] As an example, when the generation of the first CSI is based on training or AI, the first CSI includes CSI generated based on a neural network.

[0510] As an example, when the generation of the first CSI is based on training or AI, the first CSI includes CSI generated based on CNN (Conventional Neural Networks).

[0511] As an example, the generation of the first CSI is based on training or AI, including: the generation of the first CSI uses an AI model.

[0512] As an example, the generation of the first CSI is based on training or AI, including: the first CSI includes information based on artificial intelligence or machine learning.

[0513] As an example, the generation of the first CSI is based on training or AI, including: the first CSI includes information generated based on a neural network.

[0514] As an example, the generation of the first CSI is based on training or AI, including: the first CSI includes information generated based on CNN (Conventional Neural Networks).

[0515] As one embodiment, the generation of the first CSI is based on training or AI and includes: the first configuration information block indicates a first type of identifier.

[0516] As one embodiment, the generation of the first CSI is based on training or AI and includes: the first configuration information block indicates a first type of identifier, and the first operation is associated with the first type of identifier indicated by the first configuration information block.

[0517] As an example, the generation of the first CSI is based on training or AI and includes: the generation of the first CSI is associated with a first type of identifier.

[0518] As one embodiment, the generation of the first CSI associated with a first type of identifier includes: the generation of the first CSI includes the target recipient of the first configuration information block performing a first operation, the input of the first operation depending on the measurement of the first resource set, the first CSI depending on the output of the first operation, and the first operation being associated with a first type of identifier.

[0519] As an example, the generation of the first CSI is associated with a first type of identifier, including: the generation of the first CSI uses an AI model identified by the first type of identifier.

[0520] As one embodiment, the generation of the first CSI associated with the first type of identifier includes: the AI ​​entity identified by the first type of identifier generates the first CSI.

[0521] As one embodiment, the generation of the first CSI associated with the first type of identifier includes: the first CSI is generated by an AI entity, and the first type of identifier is used to identify the AI ​​entity or function.

[0522] As one embodiment, the generation of the first CSI is associated with a first type of identifier, including: the generation of the first CSI belongs to an AI function, and the first type of identifier is used to identify the AI ​​function.

[0523] As an example, the first type of identifier is a non-negative integer.

[0524] As an example, the first type of identifier is a string.

[0525] As an example, the first type of identifier is used to identify AI models.

[0526] As an example, the first type of identifier is used to identify AI entities.

[0527] As an example, the first type of identifier is used to identify AI functions.

[0528] As an example, the advantages of the above method include that 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.

[0529] As an example, the first type of identifier is a model identifier.

[0530] As an example, the first type of identifier is used to identify an AI model.

[0531] As an example, the first type of identifier is used by the first node to identify an AI model.

[0532] As an example, the first type of identifier is used by the first node to determine the AI ​​model adopted by the first operation.

[0533] As an example, the advantages of the above method include: identifying an AI model / entity / function through the first type of identifier simplifies the design and unifies the understanding of different AI entities / functions across multiple nodes.

[0534] As an example, the first type of identifier is used to identify or indicate a set of resources.

[0535] As one embodiment, the first type of identifier is used to identify or indicate a set of resources, and the measurement of the set of resources is used to obtain a training dataset.

[0536] As an example, the first type of identifier is used to identify or indicate a set of resources.

[0537] As an example, the first type of identifier is used to identify or indicate the training dataset.

[0538] As an example, the benefits of the above method include establishing consensus among different AI functions by identifying an AI training or AI training dataset to recognize the inferences generated by that AI training or AI training dataset, further simplifying the design.

[0539] As an example, the generation of the first CSI is based on training or AI, and the first node is not required to measure the second resource set.

[0540] As an example, the generation of the first CSI is based on training or AI, the first resource set is used for measurement, and the second resource set is used for prediction.

[0541] As an example, the generation of the first CSI is based on training or AI, the first resource set is used for measurement, and the second resource set is used for prediction.

[0542] As an example, the generation of the first CSI is based on training or AI, and only the first resource set is used for measurement, either the first resource set or the second resource set.

[0543] As an example, the generation of the first CSI is based on training or AI, and the first CSI includes the output of the first operation.

[0544] As an example, the generation of the first CSI is based on training or AI, and the first CSI includes the post-processed output of the first operation.

[0545] As an example, the generation of the first CSI is based on training or AI, and the first CSI includes the truncated and / or quantized output of the first operation.

[0546] Example 12

[0547] Example 12 illustrates a schematic diagram of a first node performing a first operation according to an embodiment of this application, as shown in Figure 12. In Example 12, the first node performs a first operation, the input of which depends on a measurement based on the first resource set; the first CSI depends on the output of the first operation.

[0548] As one embodiment, the generation of the first CSI is based on training or AI and includes: the first node performing a first operation, the input of the first operation depending on the measurement based on the first resource set; the first CSI depending on the output of the first operation.

[0549] As one embodiment, the first resource set includes at least one RS resource set for channel measurement, and an RS resource set for channel measurement includes one or more RS resources; the input dependency of the first operation based on the measurement of the first resource set includes: the input dependency of the first operation based on the channel measurement obtained based on the first resource set.

[0550] As one embodiment, the first resource set includes at least one RS resource set for interference measurement, and an RS resource set for interference measurement includes one or more RS resources; the input dependency of the first operation based on the measurement of the first resource set includes: the input dependency of the first operation based on the interference measurement obtained based on the first resource set.

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

[0552] As one embodiment, the input dependency of the first operation based on the measurement of the first resource set includes: the measurement based on the first resource set is used to generate the input of the first operation.

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

[0554] As one embodiment, the first resource set includes at least one RS resource set for interference measurement, and an RS resource set for interference measurement includes one or more RS resources; the input dependence of the first operation on the measurement based on the first resource set includes: interference measurement obtained based on the first resource set is used to generate the input of the first operation.

[0555] As one embodiment, the first resource set includes at least one RS resource set for channel measurement and at least one RS resource set for interference measurement; an RS resource set for channel measurement includes one or more RS resources, and an RS resource set for interference measurement includes one or more RS resources; the input dependence of the first operation on the measurement based on the first resource set includes: the channel measurement and interference measurement obtained based on the first resource set are used to generate the input of the first operation.

[0556] As an example, the channel measurement obtained based on the first resource set refers to the channel measurement obtained based on at least one reference signal transmitted in the first resource set.

[0557] As an example, the channel measurement obtained based on the first resource set refers to the channel measurement obtained in the first resource set.

[0558] As an example, interference measurement based on the first resource set refers to interference measurement based on at least one reference signal transmitted in the first resource set.

[0559] As an example, the interference measurement obtained based on the first resource set refers to the interference measurement obtained in the first resource set.

[0560] As one example, the channel measurement obtained based on the first resource set includes a channel matrix.

[0561] As an example, the channel measurements obtained based on the first resource set include the raw channel matrix.

[0562] As an example, the channel measurement obtained based on the first resource set includes an eigenvector.

[0563] As an example, the channel measurements obtained based on the first resource set include feature vectors and eigenvalues.

[0564] As an example, the channel measurements obtained based on the first resource set include one or more of BLER, delay spread, Doppler spread, Doppler shift, average delay, average gain, path loss, and RSRP.

[0565] As an example, the interference measurement obtained based on the first resource set includes at least one of interference power, interference variance, or interference power spectral density.

[0566] As an example, the interference measurement obtained based on the first resource set includes an interference channel matrix.

[0567] As an example, the interference measurement obtained based on the first resource set includes the interference covariance matrix.

[0568] As an example, the interference measurement obtained based on the first resource set includes an interference feature vector.

[0569] As an example, the interference measurement obtained based on the first resource set includes interference feature vectors and interference feature values.

[0570] As one example, the interference measurement obtained based on the first resource set includes interference beams.

[0571] Generally, how the first node determines the input of the first operation based on the measurement of the first resource set is determined by the equipment manufacturer. Some non-limiting implementation methods are described below:

[0572] As an example, the input to the first operation includes channel measurements obtained based on the first resource set.

[0573] As an example, the inputs to the first operation include channel measurements and interference measurements obtained based on the first resource set.

[0574] As an example, the input to the first operation includes interference measurements obtained based on the first resource set.

[0575] As an example, the interference measurement includes one or more of the following: interference power, interference variance, or interference power spectral density.

[0576] As an example, the input to the first operation includes a channel impulse response obtained based on measurements of the first resource set.

[0577] As an example, the input to the first operation includes a channel matrix obtained based on measurements of the first resource set.

[0578] As an example, the input to the first operation includes the eigenvectors and eigenvalues ​​of the channel matrix obtained based on measurements of the first resource set.

[0579] As an example, the input to the first operation includes a matrix or vector obtained by preprocessing the channel matrix based on measurements of the first resource set.

[0580] As an example, the channel matrix is ​​in the spatial-frequency domain.

[0581] As an example, the channel matrix is ​​in the angular-delay domain projection.

[0582] As an example, the preprocessing includes one or more of the following: quantization, DFT (Discrete Fourier Transform), matrix decomposition, matrix transformation or projection, spatial-to-angular-domain transformation, angular-to-spatial-domain transformation, frequency-to-time-domain transformation and time-to-frequency-domain transformation, truncation, padding, mapping, and labeling.

[0583] As one example, the preprocessing includes one or more of matrix decomposition, matrix transformation, or projection.

[0584] As one example, the preprocessing includes quantization.

[0585] As one example, the preprocessing includes DFT.

[0586] As an example, the preprocessing includes 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.

[0587] As one example, the preprocessing includes truncation and / or padding.

[0588] As one example, the preprocessing includes mapping.

[0589] As one example, the preprocessing includes mapping to vectors.

[0590] As one example, the preprocessing includes labeling.

[0591] As an example, the label refers to a mark made with a label.

[0592] As an example, the first CSI includes the output of the first operation.

[0593] As an example, the first CSI includes the post-processed output of the first operation.

[0594] As an example, the first CSI includes the truncated and / or quantized output of the first operation.

[0595] As an example, the output of the first operation is used to generate the first CSI.

[0596] As an example, the output of the first operation is post-processed and used to generate the first CSI.

[0597] As an example, the output of the first operation, after being truncated and / or quantized, is used to generate the first CSI.

[0598] As an example, some or all of the output of the first operation is post-processed and used to generate the first CSI.

[0599] As an example, some or all of the output of the first operation is truncated and / or quantized and used to generate the first CSI.

[0600] As an example, the first CSI indicates at least one resource in the first resource set.

[0601] As one embodiment, the first resource set includes at least one RS resource; the first CSI indicating at least one resource in the first resource set includes: the first CSI indicating at least one RS resource in the first resource set.

[0602] As one embodiment, the first resource set includes at least one beam; the first CSI indicates at least one resource in the first resource set including: the first CSI indicates at least one beam in the first resource set.

[0603] As one embodiment, the first resource set includes one or more beams; the first CSI indicates at least one resource in the first resource set including: the first CSI indicates at least one beam in the first resource set.

[0604] As one embodiment, the first resource set includes one or more vectors; the first CSI indicates at least one resource in the first resource set including: the first CSI indicates at least one vector in the first resource set.

[0605] As one embodiment, the first resource set includes one or more matrices; the first CSI indicating at least one resource in the first resource set includes: the first CSI indicating at least one matrix in the first resource set.

[0606] As one embodiment, the first resource set includes one or more DFT vectors; the first CSI indicates at least one resource in the first resource set including: the first CSI indicates at least one DFT vector in the first resource set.

[0607] As one embodiment, the first resource set includes one or more codebooks; the first CSI indicates at least one resource in the first resource set, including: the first CSI indicates at least one codebook in the first resource set.

[0608] As one embodiment, the first resource set includes one or more antenna ports; the first CSI indicating at least one resource in the first resource set includes: the first CSI indicating at least one antenna port in the first resource set.

[0609] As an example, the first operation performs spatial beam prediction for a second resource set based on measurements of the first resource set.

[0610] As an example, the advantages of the above method include reduced RS overhead and reduced feedback latency.

[0611] As an example, the first operation performs channel information prediction for a second resource set based on measurements of the first resource set.

[0612] As an example, the channel information in this application includes beam information.

[0613] As an example, the first operation performs temporal beam prediction for the second resource set based on historical measurements of the first resource set.

[0614] As an example, the advantages of the above method include reducing beam feedback delay and improving the real-time performance of beam acquisition.

[0615] As an example, the first operation performs temporal channel information prediction for the second resource set based on historical measurements of the first resource set.

[0616] As an example, the advantages of the above method include reducing channel information feedback delay and improving the real-time performance of channel information acquisition.

[0617] As an example, the input to the first operation also includes the second resource set.

[0618] Example 13

[0619] Example 13 illustrates a schematic diagram of a first operation according to an embodiment of this application; as shown in Figure 13. In Example 13, the first operation is training-based or AI-based.

[0620] As one embodiment, the measurement based on the first resource set includes uncompressed channel information, and the output of the first operation includes compressed channel information.

[0621] As an example, the advantages of the above method include: it is suitable for channel compression and saves feedback overhead.

[0622] As one embodiment, the measurement based on the first resource set includes measured channel information, and the output of the first operation includes predicted channel information.

[0623] As one embodiment, the measurement based on the first resource set includes channel information obtained from the measurement, and the output of the first operation includes spatial beam prediction.

[0624] As one embodiment, the measurement based on the first resource set includes channel information obtained from the measurement, and the output of the first operation includes spatial beam prediction for the second resource set.

[0625] As one embodiment, the resources in the second resource set include at least one of antenna ports, time-frequency resources, time-frequency code resources, beams, RS resources, vectors, or matrices.

[0626] As an example, the advantages of the above method include: reduced RS overhead and reduced feedback latency.

[0627] As an example, the channel information in this application includes beam information.

[0628] As one embodiment, the measurement based on the first resource set includes current channel information, and the output of the first operation includes predicted channel information.

[0629] As an example, the measurement based on the first resource set includes historical channel information, and the output of the first operation includes predicted channel information.

[0630] As one embodiment, the measurement based on the first resource set includes historical channel information, and the output of the first operation includes temporal beam prediction.

[0631] As one embodiment, the measurement based on the first resource set includes historical channel information, and the output of the first operation includes temporal beam prediction for the second resource set.

[0632] As an example, the advantages of the above method include: reducing channel information feedback delay and improving the real-time performance of channel information acquisition.

[0633] As one embodiment, the measurement based on the first resource set includes current channel information, and the output of the first operation includes channel information after a period of time.

[0634] As one example, the measurement based on the first resource set includes current channel information, and the output of the first operation includes future channel information.

[0635] As one embodiment, the measurement based on the first resource set includes historical channel information, and the output of the first operation includes future channel information.

[0636] As an example, the benefits of the above method include: improved CSI accuracy and real-time performance, and reduced RS overhead.

[0637] As one embodiment, the measurement based on the first resource set includes incomplete channel information, while the output of the first operation includes complete channel information.

[0638] As an example, the benefits of the above method include: reduced RS overhead and improved accuracy and completeness of CSI.

[0639] As an example, the measurement based on the first resource set includes channel information of P1 antenna ports, and the output of the first operation includes channel information of P2 antenna ports, where P1 and P2 are positive integers greater than 1, and P1 is less than P2.

[0640] As a sub-implementation of the above embodiment, the P1 antenna ports are a proper subset of the P2 antenna ports.

[0641] As a sub-implementation of the above embodiment, the P2 antenna ports belong to the second resource set.

[0642] As an example, the measurement based on the first resource set includes channel information of the first frequency domain resources, and the output of the first operation includes channel information of the second frequency domain resources, which include frequency domain resources that do not belong to the first frequency domain resources.

[0643] As a sub-implementation of the above embodiments, the first frequency domain resource is a proper subset of the second frequency domain resource.

[0644] As an example, the first operation is based on training.

[0645] As an example, the first operation is obtained through training.

[0646] As one example, the training for obtaining the first operation is performed by the first node.

[0647] As one example, the training for obtaining the first operation is performed by the sender of the first configuration information block.

[0648] As one example, the training for obtaining the first operation is performed by the sender of the first resource set.

[0649] As an example, the training for obtaining the first operation is performed by the MDA (Management Data Analytics Function).

[0650] As an example, the training for obtaining the first operation is performed by the MDAS (Management Data Analytics Service) producer.

[0651] As an example, the training for obtaining the first operation is performed by NWDAF (Network Data Analytics Function).

[0652] As an example, the training for obtaining the first operation is performed by the core network.

[0653] As an example, the training for obtaining the first operation is performed by an AI training producer.

[0654] As an example, the executor for obtaining the training of the first operation is different from the sender of the first configuration information block.

[0655] As one example, the executor for obtaining the training of the first operation is different from the sender of the first resource set.

[0656] As an example, the first operation includes inference.

[0657] As one example, the first operation includes AI (Artificial Intelligence).

[0658] As an example, the first operation is a deduction.

[0659] As an example, the first operation is AI inference.

[0660] As an example, the first operation includes AI inference for CSI.

[0661] As an example, the first operation includes AI inference for beam prediction.

[0662] As an example, the benefits of the above method include: improved performance of CSI (including beam) measurement and reporting, including more accurate CSI, lower reference signal overhead and reporting overhead, thereby improving the overall system performance.

[0663] As an example, the first operation is AI inference for CSI.

[0664] As an example, the first operation includes AI inference for at least one of beam prediction, CSI prediction, CSI estimation, or CSI compression.

[0665] As an example, the CSI prediction includes beam prediction.

[0666] As an example, the advantages of the above method include: more accurate and complete CSI, lower reference signal overhead, and improved real-time performance of CSI.

[0667] As an example, the first operation is based on an AI model.

[0668] As one example, the first operation includes an AI entity.

[0669] As an example, the first operation includes an AI inference entity.

[0670] As an example, the first operation includes an AI entity for inference.

[0671] As an example, the first operation includes a portion of an AI entity.

[0672] As an example, the first operation includes a portion of an AI entity used for inference.

[0673] As an example, the first operation includes an AI entity for CSI.

[0674] As one example, the first operation includes an AI entity for beam prediction.

[0675] As one example, the first operation includes an AI entity for CSI prediction, estimation, or compression.

[0676] As an example, the first operation includes inference of AI entities for CSI.

[0677] As an example, the first operation includes inferences about AI entities used for CSI prediction, estimation, or compression.

[0678] As an example, the first operation is performed by an AI entity.

[0679] As an example, the first operation is performed by an AI entity deployed on the first node.

[0680] As an example, the first operation is performed by an AI function.

[0681] As an example, the first operation is performed by an AI function deployed on the first node.

[0682] As one example, the AI ​​functionality includes AI inference capabilities.

[0683] As one example, the AI ​​functionality includes AI training functionality.

[0684] As one example, the AI ​​functionality includes AI management functionality.

[0685] As an example, the first operation is performed by the physical layer of the first node.

[0686] As an example, the first operation is performed at a higher level than the first node.

[0687] As an example, the first operation requires deployment.

[0688] As an example, the first operation is obtained by loading.

[0689] As an example, the first operation is obtained from the serving cell of the first node.

[0690] As an example, the first operation is obtained from the maintenance base station loading of the serving cell of the first node.

[0691] As an example, the first operation is obtained from the core network.

[0692] As an example, the first operation is based on artificial intelligence or machine learning.

[0693] As an example, the first operation is based on a neural network.

[0694] As an example, the first operation includes CSI compression based on a neural network.

[0695] As one example, the first operation includes an encoder for CSI compression based on a neural network.

[0696] As an example, the first operation includes CNN-based CSI compression.

[0697] As an example, the first operation includes a CNN-based CSI compression encoder.

[0698] As an example, the output of the first operation is based on a non-codebook.

[0699] As an example, the output of the first operation does not belong to the CSI defined by 3GPP Rel-18, nor to the CSI defined in versions prior to 3GPP Rel-18.

[0700] As an example, the output of the first operation is based on artificial intelligence or machine learning.

[0701] As an example, the output of the first operation is based on a neural network.

[0702] As an example, the output of the first operation is based on a CNN.

[0703] As an example, the output of the first operation includes CSI.

[0704] As an example, the output of the first operation includes predicted beam information.

[0705] As an example, the output of the first operation includes beam indication and RSRP.

[0706] As an example, the output of the first operation includes an RS resource indication and an RSRP.

[0707] As an example, the output of the first operation includes a resource indication and an RSRP.

[0708] As an example, the output of the first operation includes one or more of the following: beam indication, CRI (CSI-RS Resource Indicator), SS / PBCH Block Resource indicator (SSBRI), or RSRP (reference signal received power).

[0709] As an example, the output of the first operation includes one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, and TDCP.

[0710] As an example, the output of the first operation includes a channel impulse response.

[0711] As an example, the output of the first operation includes small-scale characteristics.

[0712] As an example, the output of the first operation includes one or more of delay spread, Doppler spread, Doppler shift, average delay, and average gain.

[0713] As an example, the output of the first operation includes a channel matrix.

[0714] As an example, the output of the first operation includes a first CSI.

[0715] As an example, the first CSI includes a predicted or estimated CSI.

[0716] As one embodiment, the first CSI includes predicted beam information.

[0717] As an example, 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 / completeness.

[0718] As an example, the first node is a user (consumer).

[0719] As an example, the first node is the user of the AI ​​function.

[0720] As an example, the first node is the user of AI inference.

[0721] As an example, the first node is the user who trained the AI.

[0722] As an example, the first node is an MnS (Management Service) user.

[0723] As an example, the first node is the producer of AI inference.

[0724] As an example, the first node is the AI ​​training producer.

[0725] As one example, the first operation includes preprocessing.

[0726] As an example, the preprocessing includes DFT (Discrete Fourier Transform).

[0727] As an example, the preprocessing includes one or more of matrix decomposition, matrix transformation, and projection.

[0728] As an example, the preprocessing includes 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.

[0729] As one example, the preprocessing includes truncation and / or padding.

[0730] As one example, the preprocessing includes mapping.

[0731] As one example, the preprocessing includes mapping to vectors.

[0732] As one example, the preprocessing includes labeling.

[0733] As an example, the label refers to a mark made with a label.

[0734] As one example, the first operation includes post-processing.

[0735] As one example, the post-processing includes DFT.

[0736] As one example, the post-processing includes quantization.

[0737] As an example, the post-processing includes one or more of the following: angular domain to spatial domain transformation, spatial domain to angular domain transformation, time domain to frequency domain transformation, and frequency domain to time domain transformation.

[0738] As one example, the post-processing includes truncation and / or padding.

[0739] As an example, the first operation includes one or more of convolution, pooling, cascading, and activation.

[0740] As one embodiment, the first operation includes a fully connected layer.

[0741] As an example, the first operation includes a pooling layer.

[0742] As one embodiment, the first operation includes at least one convolutional layer.

[0743] As an example, the first operation includes at least one encoding layer.

[0744] As an example, an encoding layer includes at least one convolutional layer and one pooling layer.

[0745] As an example, in a convolutional layer, at least one convolutional kernel is used to convolve the input to generate a corresponding feature map, and at least one feature map output by the convolutional layer is reshaped into a vector and input to a fully connected layer; the fully connected layer transforms the vector into an output.

[0746] As an example, some or all of the following parameters in the first operation—convolution kernel size, number of convolutional layers, convolution stride, pooling kernel size, pooling kernel stride, pooling function, activation function, and number of feature maps—are obtained through training.

[0747] As an example, some or all of the convolution kernel, pooling kernel, pooling function, activation function, parameters of the pooling function, and parameters of the activation function in the first operation are obtained through training.

[0748] Example 14

[0749] Example 14 illustrates a schematic diagram of a first node deploying a first operation according to an embodiment of this application; as shown in Figure 14. In Example 14, the first processor deploys the first operation.

[0750] As one embodiment, the deployment includes obtaining the first operation.

[0751] As one example, the deployment includes obtaining an AI entity.

[0752] As one example, the deployment includes obtaining an AI entity that performs the first operation.

[0753] As one example, the deployment includes obtaining an AI entity that includes AI functions to perform the first operation.

[0754] As one embodiment, the deployment includes loading the first operation.

[0755] As one example, the deployment includes submitting a request to load the first operation.

[0756] As an example, the request in Figure 15 is a request from the first node to load the first operation.

[0757] As an example, the response in Figure 15 is a response to the request made by the first node to load the first operation.

[0758] As an example, the first node obtains the first operation through the response shown in Figure 15.

[0759] As an example, the first operation is obtained from the serving cell of the first node.

[0760] As an example, the first operation is obtained from the sustaining base station of the serving cell of the first node.

[0761] As an example, the first operation is obtained from the core network.

[0762] As an example, the first operation is obtained from loading from the first producer.

[0763] As an example, the first producer provides the first operation to the first node via the response shown in Figure 15.

[0764] As an example, the deployment is accomplished by an AI function.

[0765] As an example, the deployment is accomplished by AI functionality deployed on the first node.

[0766] As an example, the deployment is accomplished by an AI deployment function.

[0767] As an example, the deployment is accomplished by the AI ​​deployment function deployed on the first node.

[0768] As an example, the deployment is accomplished using AI inference functionality.

[0769] As an example, the deployment is accomplished by an AI inference function deployed on the first node.

[0770] As an example, the deployment is performed by an AI entity.

[0771] As an example, the deployment is performed by an AI entity deployed on the first node.

[0772] As an example, the deployment is performed by an AI entity with a deployment function.

[0773] As an example, the deployment is performed by an AI entity with deployment capabilities deployed on the first node.

[0774] As an example, the deployment is accomplished by an AI entity with an inference function.

[0775] As an example, the deployment is performed by an AI entity with inference capabilities deployed on the first node.

[0776] As one embodiment, the deployment includes obtaining the first operation from a first producer.

[0777] As one embodiment, the deployment includes requesting a first producer to load the first operation.

[0778] As one embodiment, the deployment includes loading the first operation from the first producer.

[0779] As an example, the first producer generates and provides AI entities.

[0780] As an example, the first producer generates and provides AI functionality.

[0781] As an example, the first producer is the producer of the first operation.

[0782] As one example, the first producer includes an AI entity producer.

[0783] As one example, the first producer includes an AI function producer.

[0784] As one example, the first producer includes an AI deployment producer.

[0785] As one example, the first producer includes an AI loading producer.

[0786] As one example, the first producer includes an AI-trained producer.

[0787] As an example, the first producer includes an AI inference producer.

[0788] As an example, the first producer includes the producer of the AI ​​entity deployment.

[0789] As one example, the first producer includes the producer that loads the AI ​​entity.

[0790] As an example, the first producer includes an MnS (Management Service) producer.

[0791] As an example, the sender of the first configuration information block is the first producer.

[0792] As an example, the sender of the first configuration information block is different from the first producer.

[0793] As an example, the training for obtaining the first operation is performed by the first producer.

[0794] As an example, the executor used to obtain the training for the first operation is different from the first producer.

[0795] As one example, the AI ​​includes ML (Machine Learning).

[0796] Example 15

[0797] Example 15 illustrates a schematic diagram of a second resource set according to an embodiment of this application; as shown in Figure 15. In Example 15, the first CSI indicates at least one resource in the second resource set, the second resource set including resources that do not belong to the first resource set.

[0798] As an example, the first node is not required to measure the second resource set.

[0799] As one example, the first resource set is used for measurement, and the second resource set is used for prediction.

[0800] As an example, only the first resource set is used for measurement, either the first resource set or the second resource set.

[0801] As one embodiment, using only the first resource set in the first resource set and the second resource set for measurement includes: using only the first resource set in the first resource set and the second resource set for measurement by the first node.

[0802] As one embodiment, the first resource set being used for measurement only in the first resource set and the second resource set includes: the first resource set being used for measurement by the first node, and the first node not being required to measure the second resource set.

[0803] As an example, the first operation performs spatial beam prediction for a second resource set based on measurements of the first resource set.

[0804] As an example, the advantages of the above method include: reduced RS overhead and reduced feedback latency.

[0805] As an example, the first operation performs channel information prediction for a second resource set based on measurements of the first resource set.

[0806] As an example, the channel information in this application includes beam information.

[0807] As an example, the first operation performs temporal beam prediction for the second resource set based on historical measurements of the first resource set.

[0808] As an example, the advantages of the above method include: reducing beam feedback delay and improving the real-time performance of beam acquisition.

[0809] As an example, the first operation performs temporal channel information prediction for the second resource set based on historical measurements of the first resource set.

[0810] As an example, the advantages of the above method include: reducing channel information feedback delay and improving the real-time performance of channel information acquisition.

[0811] As an example, the generation of the first CSI is based on training or AI, and the first node is not required to measure the second resource set.

[0812] As an example, the generation of the first CSI is based on training or AI, the first resource set is used for measurement, and the second resource set is used for prediction.

[0813] As an example, the generation of the first CSI is based on training or AI, the first resource set is used for measurement, and the second resource set is used for prediction.

[0814] As an example, the generation of the first CSI is based on training or AI, and only the first resource set is used for measurement, either the first resource set or the second resource set.

[0815] As one embodiment, using only the first resource set in the first resource set and the second resource set for measurement includes: using only the first resource set in the first resource set and the second resource set for measurement by the first node.

[0816] As one embodiment, the first resource set being used for measurement only in the first resource set and the second resource set includes: the first resource set being used for measurement by the first node, and the first node not being required to measure some or all of the resources in the second resource set.

[0817] As one embodiment, the first node not being required to measure the second resource set includes: the first node not measuring some or all of the resources in the second resource set.

[0818] As one embodiment, the first node not being required to measure the second resource set includes: whether the first node measures some or all of the resources in the second resource set is implementation-related or determined by the first node itself.

[0819] As one embodiment, the second resource set includes the first resource set and resources outside the first resource set.

[0820] As one embodiment, the first resource set includes one or more RS resources, the second resource set includes one or more RS resources, and the second resource set includes the first resource set and RS resources outside the first resource set.

[0821] As an example, the number of resources included in the first resource set is less than the number of resources included in the second resource set.

[0822] As an example, the number of RS resources included in the first resource set is less than the number of RS resources included in the second resource set.

[0823] As one embodiment, the second resource set includes resources that do not belong to the first resource set.

[0824] As one embodiment, the second resource set includes antenna ports that do not belong to the first resource set.

[0825] As one embodiment, the second resource set includes resources that do not belong to the first resource set, and the resources in the second resource set include at least one of antenna ports, TCI status, QCL information, frequency resources, time and frequency code resources, beams, RS resources, vectors, or matrices.

[0826] As one embodiment, the second resource set includes at least one RS resource.

[0827] As one embodiment, the second resource set includes at least one beam.

[0828] As one embodiment, the second resource set includes one or more beams.

[0829] As one example, the second resource set includes one or more vectors.

[0830] As one embodiment, the second resource set includes one or more matrices.

[0831] As one example, the second resource set includes one or more codebooks.

[0832] As one embodiment, the second resource set includes one or more DFT vectors.

[0833] As one example, the second resource set includes one or more DFT codebooks.

[0834] As one embodiment, the second resource set includes one or more antenna ports.

[0835] As one example, the second resource set includes at least one training dataset.

[0836] As an example, the second resource set is used to train an AI model.

[0837] As one embodiment, the second resource set includes one or more RS (Reference Signal) resource sets, and an RS resource set includes one or more RS resources.

[0838] As one embodiment, the second resource set includes at least one of at least a CSI-RS resource set, at least one CSI-SSB (Channel State Information-Synchronization Signal Block) resource set, or at least one CSI-IM (Channel State Information-Interference Measurement) resource set.

[0839] As one embodiment, the second resource set includes at least one RS resource set for channel measurement, and an RS resource set for channel measurement includes one or more RS resources.

[0840] As one embodiment, the second resource set includes at least one RS resource set for channel measurement and at least one RS resource set for interference measurement; an RS resource set for channel measurement includes one or more RS resources, and an RS resource set for interference measurement includes one or more RS resources.

[0841] As one embodiment, the second resource set includes at least one RS resource set for interference measurement; an RS resource set for interference measurement includes one or more RS resources.

[0842] As one embodiment, the second resource set includes one or more RS resources.

[0843] As one embodiment, the second resource set includes one or more downlink RS resources.

[0844] As one embodiment, the second resource set includes 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.

[0845] As an example, the first configuration information block indicates at least one resource configuration, and the at least one resource configuration indicates the second resource set.

[0846] As an example, the first configuration information block includes at least one resource configuration, which indicates the second resource set.

[0847] As one embodiment, the first configuration information block indicates at least one resource configuration, and the at least one resource configuration indicates the first resource set and the second resource set.

[0848] As one embodiment, the first configuration information block includes at least one resource configuration, the at least one resource configuration indicating the first resource set and the second resource set.

[0849] As an example, the first configuration information block indicates a resource configuration, wherein the resource configuration indicates the first resource set and the second resource set.

[0850] As an example, the first configuration information block indicates two resource configurations, which respectively indicate the first resource set and the second resource set.

[0851] As one embodiment, the first configuration information block indicates the configuration information of the second resource set.

[0852] As one embodiment, the first configuration information block indicates the identifier of the second resource set.

[0853] As one embodiment, the first configuration information block is used to indicate the second resource set from the reference resource set.

[0854] As one embodiment, the first configuration information block indicates a first identifier, and the second resource set depends on the first identifier.

[0855] As one embodiment, the second resource set depends on the first identifier, which is used to identify the second resource set.

[0856] As one embodiment, the second resource set depends on the first identifier, which is used to identify a reference resource set, the reference resource set including the second resource set.

[0857] As one embodiment, the second resource set depends on the first identifier, which includes: the first identifier being used to identify a reference resource set, the reference resource set including the second resource set, and the first configuration information block being used to indicate the second resource set from the reference resource set.

[0858] As one example, information other than the first configuration information block.

[0859] As one embodiment, the information indicating the second resource set, in addition to the first configuration information block, includes higher-level parameters.

[0860] As an example, the information indicating the second resource set in addition to the first configuration information block includes RRC parameters.

[0861] As one embodiment, the information indicating the second resource set, other than the first configuration information block, includes part or all of an RRC IE domain.

[0862] As an example, the information indicating the second resource set in addition to the first configuration information block includes MAC CE.

[0863] As one embodiment, the information indicating the second resource set in addition to the first configuration information block includes DCI (downlink control information).

[0864] The generation of the first CSI is based on training or AI.

[0865] As one embodiment, the first CSI indicates at least one resource in a second resource set, the second resource set including resources that do not belong to the first resource set.

[0866] As an example, the first CSI is generated based on training or AI, and the first CSI indicates at least one resource in a second resource set, the second resource set including resources that do not belong to the first resource set.

[0867] As one embodiment, whether the resource indicated by the first CSI belongs to the first resource set depends on whether the generation method of the first CSI is based on training or AI; when the generation method of the first CSI is based on training or AI, the resource indicated by the first CSI belongs to the second resource set, and the second resource set includes resources that do not belong to the first resource set; when the generation method of the first CSI is not based on training or AI, the resource indicated by the first CSI belongs to the first resource set.

[0868] As one embodiment, whether the RS resource indicated by the first CSI belongs to the first resource set depends on whether the generation method of the first CSI is based on training or AI; when the generation method of the first CSI is based on training or AI, the RS resource indicated by the first CSI belongs to the second resource set, and the second resource set includes RS resources that do not belong to the first resource set; the RS resource indicated by the first CSI belongs to the first resource set only when the generation method of the first CSI is not based on training or AI.

[0869] As an example, the input to the first operation also includes the second resource set.

[0870] As an example, the first CSI indicates at least one resource in the second resource set.

[0871] As one embodiment, the second resource set includes at least one RS resource; the first CSI indicating at least one resource in the second resource set includes: the first CSI indicating at least one RS resource in the second resource set.

[0872] As one embodiment, the second resource set includes at least one beam; the first CSI indicates at least one resource in the second resource set including: the first CSI indicates at least one beam in the second resource set.

[0873] As one embodiment, the second resource set includes one or more beams; the first CSI indicates at least one resource in the second resource set including: the first CSI indicates at least one beam in the second resource set.

[0874] As one embodiment, the second resource set includes one or more vectors; the first CSI indicates at least one resource in the second resource set including: the first CSI indicates at least one vector in the second resource set.

[0875] As one embodiment, the second resource set includes one or more matrices; the first CSI indicates at least one resource in the second resource set including: the first CSI indicates at least one matrix in the second resource set.

[0876] As one embodiment, the second resource set includes one or more DFT vectors; the first CSI indicates at least one resource in the second resource set including: the first CSI indicates at least one DFT vector in the second resource set.

[0877] As one embodiment, the second resource set includes one or more codebooks; the first CSI indicates at least one resource in the second resource set, including: the first CSI indicates at least one codebook in the second resource set.

[0878] As one embodiment, the second resource set includes one or more antenna ports; the first CSI indicating at least one resource in the second resource set includes: the first CSI indicating at least one antenna port in the second resource set.

[0879] Example 16

[0880] Example 16 illustrates a schematic diagram of receiving a reference signal in a first resource set according to an embodiment of this application; as shown in Figure 16. In Example 16, the first receiver receives the reference signal in the first resource set.

[0881] As an example, a reference signal is received in each resource in the first resource set.

[0882] As an example, the resources in the first resource set are CSI-RS resources, and CSI-RS is received in each CSI-RS resource in the first resource set.

[0883] As an example, the resources in the first resource set are SSB resources, and an SSB is received in each SSB resource in the first resource set.

[0884] As an example, a reference signal is received at each transmission time of any resource in the first resource set.

[0885] As an example, the first CSI is triggered by the second DCI.

[0886] As one embodiment, the second DCI includes a CSI request field, wherein the CSI request field in the second DCI indicates the first configuration information block, which is used to configure the first CSI.

[0887] As one embodiment, the second DCI includes a CSI request field, wherein the CSI request field in the second DCI indicates the first resource set.

[0888] As one example, the second DCI is used to trigger the first resource set.

[0889] As one embodiment, the second DCI used to trigger the first resource set includes: the second DCI includes a CSI request field, the CSI request field in the second DCI indicating a CSI trigger state, and the first resource set is associated with the one CSI trigger state.

[0890] Example 17

[0891] Example 17 illustrates a schematic diagram of a first operation according to an embodiment of this application; as shown in Figure 17. In Example 17, the first operation includes K1 sub-operations, where K1 is a positive integer not greater than 1. In Figure 17, the K1 sub-operations are respectively represented as sub-operation #0, ..., sub-operation #(K1-1).

[0892] As an example, each of the K1 sub-operations is based on training.

[0893] As an example, at least one of the K1 sub-operations is based on training.

[0894] As an example, each of the K1 training-based sub-operations is based on the same training executor.

[0895] As an example, two of the K1 sub-operations are based on different training executors.

[0896] As an example, at least one of the K1 sub-operations needs to be deployed.

[0897] As an example, at least one of the K1 sub-operations needs to be loaded.

[0898] As an example, all the sub-operations that need to be loaded in the K1 sub-operations are loaded from the same producer.

[0899] As an example, two of the K1 sub-operations that need to be loaded are loaded from different producers.

[0900] As an example, at least one of the K1 sub-operations is not based on training.

[0901] As an example, at least one of the K1 sub-operations is based on a codebook for precoding defined in 3GPP R18 or a version prior to 3GPP R18.

[0902] As an example, one or more of the K1 sub-operations are AI-based.

[0903] As an example, one or more of the K1 sub-operations include inference.

[0904] As an example, one or more of the K1 sub-operations include AI inference.

[0905] As an example, one or more of the K1 sub-operations include AI inference for CSI.

[0906] As an example, the AI ​​(Artificial Intelligence) includes ML (Machine Learning).

[0907] As an example, one or more of the K1 sub-operations include preprocessing.

[0908] As an example, one or more of the K1 sub-operations include post-processing.

[0909] As an example, among the K1 sub-operations, two sub-operations are sequential, such as all the sub-operations in Figure 17(a), sub-operations #2 to #(K1-1) in Figure 17(b), and sub-operations #0 to #(K1-4) in Figure 17(c).

[0910] As an example, the 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.

[0911] As an example, among the K1 sub-operations, two sub-operations are parallel, such as sub-operation #0 and sub-operation #1 in Figure 17(b), and sub-operation #(K1-3) and sub-operation #(K1-2) in Figure 17(c).

[0912] As an example, two sub-operations being parallel means that the outputs of the two sub-operations are used together as the input of another sub-operation.

[0913] As an example, the K1 sub-operations include one or more of convolution, pooling, cascading, or activation.

[0914] As an example, one of the K1 sub-operations includes a fully connected layer.

[0915] As an example, one of the K1 sub-operations includes a pooling layer.

[0916] As an example, one of the K1 sub-operations includes at least one convolutional layer.

[0917] As an example, one of the K1 sub-operations includes at least one coding layer.

[0918] As an example, two of the K1 sub-operations include a fully connected layer and at least one coding layer.

[0919] As an example, an encoding layer includes at least one convolutional layer and one pooling layer.

[0920] Example 18

[0921] Example 18 illustrates a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of this application, as shown in Figure 18. Figure 18(a) includes a third processor, a fourth processor, and a fifth processor, and Figure 18(b) includes a third processor, a fourth processor, a fifth processor, and a sixth processor.

[0922] In Example 18(a), the third processor sends a first dataset to the fourth processor and a second dataset to the fifth processor; the fourth processor generates a target first-type parameter set based on the first dataset, and sends the generated target first-type parameter set to the fifth processor; the fifth processor processes the second dataset using the target first-type parameter set to obtain a first-type output. In Figure 18(a), the first-type feedback is optional.

[0923] In Example 18(b), the third processor sends a first dataset to the fourth processor and a second dataset to the fifth processor; the fourth processor generates a target first-type parameter set based on the first dataset, and sends the generated target first-type parameter set to the fifth processor; the fifth processor processes the second dataset using the target first-type parameter set to obtain a first-type output, and sends the first-type output to the sixth processor. In Figure 18(b), the first-type feedback and the second-type feedback are optional.

[0924] As an example, in Figure 18(a), the fifth processor sends the first type of output to the second node in this application.

[0925] As an example, in Figure 18(a), a single-side AI model is used for beam prediction or channel information prediction, and the fifth processor executes the first operation, which is used for beam prediction or channel information prediction.

[0926] As an example, the AI ​​includes machine learning (ML) inference.

[0927] As an example, the fifth processor performs the first operation.

[0928] As an example, the fifth processor sends a first type of feedback to the fourth processor, and the first type of feedback is used to trigger a recalculation or update of the target first type of parameter group.

[0929] As one embodiment, the sixth processor sends a second type of feedback to the third processor, the second type of feedback being used to generate the first dataset or the second dataset, or the second type of feedback being used to trigger the sending of the first dataset or the second dataset.

[0930] As one embodiment, the third processor generates the first dataset and the second dataset based on measurements of a first type of wireless signal, the first type of wireless signal including downlink RS.

[0931] As one embodiment, the fifth processor belongs to the first node, and the sixth processor belongs to the second node.

[0932] As an example, the first CSI belongs to the first type of output.

[0933] As an example, the second dataset includes the input of the first operation.

[0934] As an example, the second dataset includes information obtained based on the first configuration and the M1 configurations.

[0935] As an example, the first dataset includes training data.

[0936] As an example, the fourth processor belongs to the producer of the first operation.

[0937] As one embodiment, the fourth processor includes an AI training producer.

[0938] As one embodiment, the fourth processor includes an AI training function.

[0939] As an example, the fourth processor is used for model training, and the trained model is described by the target first class of parameter sets.

[0940] As an example, the fourth processor belongs to the first node.

[0941] The above embodiments avoid passing the first dataset to the second node.

[0942] As one example, the fourth processor belongs to the second node.

[0943] The above embodiments support joint training and optimize system performance.

[0944] As an example, the fourth processor belongs to the core network.

[0945] The above embodiments support network-wide joint training, further optimizing system performance.

[0946] As an example, the second dataset includes inference data.

[0947] As one embodiment, the fifth processor includes an AI inference producer.

[0948] As one embodiment, the fifth processor includes an AI inference function.

[0949] As an example, the fifth processor belongs to the first node.

[0950] As an example, the fifth processor constructs a model based on the target first type of parameter group, and then inputs the second dataset into the constructed model to obtain the first type of output.

[0951] As an example, the first operation is described by the target first type of parameter group.

[0952] As an example, the target first type of parameter group is used to construct the first operation.

[0953] As an example, the fifth processor generates a recovery dataset based on the first type of output, and the error between the recovery dataset and the second dataset is used to generate the first type of feedback.

[0954] As an example, the first type of feedback is used to reflect the performance of the trained model; when the performance of the trained model fails to meet the requirements, the fourth processing opportunity recalculates the target first type of parameter set.

[0955] As an example, when the error is too large or the update has not been performed for too long, the performance of the trained model is considered to be unsatisfactory.

[0956] As an example, the target first type of parameter group includes one or more of the following: convolution kernel size, number of convolution layers, convolution stride, pooling kernel size, pooling kernel stride, pooling function, activation function, or number of feature maps.

[0957] As an example, the target first type of parameter group includes one or more of the following: convolution kernel, pooling kernel, pooling function, activation function, parameters of pooling function, or parameters of activation function.

[0958] Example 19

[0959] Example 19 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of this application; as shown in Figure 19. Figure 19 includes a third operation, a fourth operation, a fifth operation, a sixth operation, and a seventh operation. In Example 19, the third and fourth operations belong to a first stage, the fifth operation belongs to a second stage, the sixth operation belongs to a third stage, and the seventh operation belongs to a fourth stage. In Figure 19, the arrowed lines indicate the sequence of processes.

[0960] 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.

[0961] As an example, the first stage includes a training phase, the second stage includes an emulation phase, the third stage includes a deployment phase, and the fourth stage includes an emulation phase.

[0962] As an example, the first stage includes AI model training.

[0963] As an example, the first stage includes AI model training and AI testing.

[0964] As an example, the AI ​​includes machine learning (ML) inference.

[0965] As an example, the AI ​​model training includes initial training and re-training of one or a group of AI entities.

[0966] As an example, the training of the AI ​​model depends on training data.

[0967] As an example, the AI ​​model training includes AI entity validation.

[0968] As an example, the AI ​​entity verification is used to evaluate the performance of the AI ​​entity.

[0969] As an example, the AI ​​entity verification relies on verification data.

[0970] As an example, if the AI ​​entity verification results do not meet expectations, the AI ​​model will be retrained.

[0971] As an example, the AI ​​testing includes testing the validated AI entity to estimate the performance of the trained AI model.

[0972] As an example, if the AI ​​test results meet expectations, the AI ​​entity proceeds to the next stage; otherwise, the AI ​​model will be retrained.

[0973] As an example, the AI ​​test relies on test data.

[0974] As an example, the second stage includes AI simulation, which performs inference of AI entities in a simulation environment.

[0975] As an example, the AI ​​simulation estimates the performance of AI entity inference in a simulation environment before using the AI ​​entity.

[0976] As one embodiment, the second stage is optional.

[0977] As an example, the third stage includes AI entity loading, which is to obtain trained AI entities to obtain the desired AI inference capabilities.

[0978] As an example, the third stage is optional.

[0979] As an example, the third stage is no longer needed when the training and inference functions are co-located.

[0980] As an example, the fourth stage includes AI inference.

[0981] As an example, the seventh operation includes the first operation.

[0982] Example 20

[0983] Example 20 illustrates a structural block diagram of a processing apparatus in a first node according to an embodiment of this application; as shown in Figure 20. In Figure 20, the processing apparatus 2000 in the first node includes a first receiver 2001 and a first transmitter 2002.

[0984] As one example, the first node is a user equipment.

[0985] As an example, the first node is a relay node device.

[0986] As an example, the first receiver 2001 includes at least one of the following in embodiment 4: {antenna 452, receiver 454, receiver processor 456, multi-antenna receiver processor 458, controller / processor 459, memory 460, data source 467}.

[0987] As an example, the first transmitter 2002 includes at least one of the following in embodiment 4: {antenna 452, receiver / transmitter 454, receiver processor 456, transmitter processor 468, multi-antenna receiver processor 458, multi-antenna transmitter processor 457, controller / processor 459, memory 460, data source 467}.

[0988] As an example, the processing device 1400 in the first node includes a first processor, which includes at least one of the following in embodiment 4: {antenna 452, receiver / transmitter 454, receiving processor 456, transmitting processor 468, multi-antenna receiving processor 458, multi-antenna transmitting processor 457, controller / processor 459, memory 460, data source 467}.

[0989] As one embodiment, the first processor includes the first transmitter 2002.

[0990] The first receiver 2001 receives a first configuration information block, the first configuration information block indicating a first resource set, the first resource set including one or more RS resources; receives a first MAC CE; receives a first DCI; and receives a first signal.

[0991] The first transmitter 2002 transmits a first CSI, and the first resource set is used for at least one of the channel measurement or interference measurement of the first CSI.

[0992] In embodiment 20, the first DCI includes a target field, the target field includes at least one bit, the target field includes T1 code points and T2 code points, any one of the T1 code points does not belong to the T2 code points, the value of the target field in the first DCI belongs to either the T1 code points or the T2 code points, T1 is a positive integer, and T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of the T1 code points of the target field; when the value of the target field in the first DCI belongs to the T1 code point, the quasi-co-address information of the first signal depends on the first MAC CE; when the value of the target field in the first DCI belongs to the T2 code point, the quasi-co-address information of the first signal depends on the first CSI.

[0993] As one embodiment, the quasi-co-address information of the first signal depending on the first CSI includes: the first CSI includes a first information block and a second information block, the first information block includes channel information of a first time slot, the second information block includes channel information of a second time slot, and the first time slot and the second time slot are different; when the first signal belongs to a first time window in the time domain, the quasi-co-address information of the first signal depends on the first information block; when the first signal belongs to a second time window in the time domain, the quasi-co-address information of the first signal depends on the second information block.

[0994] As an example, the first MAC CE indicates that at least one first class value is mapped to each of the T2 code points in the target domain, the first class value being different from the TCI state identifier.

[0995] As an example, the first type of value is used to identify a CSI reporting configuration; when the value of the target field in the first DCI belongs to the T2 code points, the value of the target field in the first DCI is the first code point, and a first type of value mapped to the first code point of the target field is used to identify the reporting configuration of the first CSI, and the first configuration information block is the reporting configuration of the first CSI.

[0996] As an example, N1 CSIs are sent by the first node, where the first CSI is one of the N1 CSIs, and N1 is a positive integer greater than 1; wherein,

[0997] The first CSI is the highest priority CSI among the N1 CSIs;

[0998] Alternatively, the first CSI is the latest CSI sent among the N1 CSIs;

[0999] Alternatively, N1 CSI reporting configuration identifiers are used to identify the reporting configurations of the N1 CSIs, with the first CSI depending on a default value among the N1 CSI reporting configuration identifiers.

[1000] As an example, N2 CSIs are sent by the first node, and the first CSI is one of the N2 CSIs, where N2 is a positive integer greater than 1; the first CSI is a CSI generated based on training or AI among the N2 CSIs.

[1001] As an example, the generation of the first CSI is based on training or AI.

[1002] As one embodiment, it includes:

[1003] The first processor executes a first operation, the input of which depends on a measurement based on the first resource set; the first CSI depends on the output of the first operation.

[1004] As an example, the first operation is based on training or AI.

[1005] As one embodiment, it includes:

[1006] The first processor deploys the first operation.

[1007] As one embodiment, the first CSI indicates at least one resource in a second resource set, the second resource set including resources that do not belong to the first resource set.

[1008] As one embodiment, it includes:

[1009] The first receiver 2001 receives a reference signal in the first resource set.

[1010] As one embodiment, the first receiver 2001 receives a reference signal in the first resource set, which includes one or more RS resources.

[1011] As an example, the first operation is based on training or AI.

[1012] As an example, the first operation requires deployment.

[1013] As an example, the first operation is obtained by loading.

[1014] Example 21

[1015] Example 21 illustrates a structural block diagram of a processing apparatus for a second node according to an embodiment of this application; as shown in Figure 21. In Figure 21, the processing apparatus 2100 in the second node includes a second transmitter 2101 and a second receiver 2102.

[1016] In one embodiment, the second node is a base station device.

[1017] In one embodiment, the second node is a user equipment.

[1018] As one embodiment, the second node is a relay node device.

[1019] As one embodiment, the second transmitter 2101 includes at least one of the following in embodiment 4: {antenna 420, transmitter 418, transmission processor 416, multi-antenna transmission processor 471, controller / processor 475, memory 476}.

[1020] As one embodiment, the second receiver 2102 includes at least one of the following in embodiment 4: {antenna 420, receiver 418, receiver processor 470, multi-antenna receiver processor 472, controller / processor 475, memory 476}.

[1021] The second transmitter 2101 sends a first configuration information block, the first configuration information block indicating a first resource set, the first resource set including one or more RS resources; sends a first MAC CE; sends a first DCI; and sends a first signal.

[1022] The second receiver 2102 receives the first CSI, wherein the first resource set is used for at least one of the channel measurement or interference measurement of the first CSI.

[1023] In embodiment 21, the first DCI includes a target field, the target field includes at least one bit, the target field includes T1 code points and T2 code points, any one of the T1 code points does not belong to the T2 code points, the value of the target field in the first DCI belongs to either the T1 code points or the T2 code points, T1 is a positive integer, and T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each of the T1 code points of the target field; when the value of the target field in the first DCI belongs to the T1 code point, the quasi-co-address information of the first signal depends on the first MAC CE; when the value of the target field in the first DCI belongs to the T2 code point, the quasi-co-address information of the first signal depends on the first CSI.

[1024] As one embodiment, the quasi-co-address information of the first signal depending on the first CSI includes: the first CSI includes a first information block and a second information block, the first information block includes channel information of a first time slot, the second information block includes channel information of a second time slot, and the first time slot and the second time slot are different; when the first signal belongs to a first time window in the time domain, the quasi-co-address information of the first signal depends on the first information block; when the first signal belongs to a second time window in the time domain, the quasi-co-address information of the first signal depends on the second information block.

[1025] As an example, the first MAC CE indicates that at least one first class value is mapped to each of the T2 code points in the target domain, the first class value being different from the TCI state identifier.

[1026] As an example, the first type of value is used to identify a CSI reporting configuration; when the value of the target field in the first DCI belongs to the T2 code points, the value of the target field in the first DCI is the first code point, and a first type of value mapped to the first code point of the target field is used to identify the reporting configuration of the first CSI, and the first configuration information block is the reporting configuration of the first CSI.

[1027] As one embodiment, N1 CSIs are sent by the target receiver of the first configuration information block, where the first CSI is one of the N1 CSIs, and N1 is a positive integer greater than 1; wherein,

[1028] The first CSI is the highest priority CSI among the N1 CSIs;

[1029] Alternatively, the first CSI is the latest CSI sent among the N1 CSIs;

[1030] Alternatively, N1 CSI reporting configuration identifiers are used to identify the reporting configurations of the N1 CSIs, with the first CSI depending on a default value among the N1 CSI reporting configuration identifiers.

[1031] As an example, N2 CSIs are sent by the target recipient of the first configuration information block, and the first CSI is one of the N2 CSIs, where N2 is a positive integer greater than 1; the first CSI is a CSI generated based on training or AI among the N2 CSIs.

[1032] As an example, the generation of the first CSI is based on training or AI.

[1033] As one embodiment, it includes:

[1034] The target recipient of the first configuration information block performs a first operation, the input of which depends on the measurement of the first resource set; the first CSI depends on the output of the first operation.

[1035] As an example, the first operation is based on training or AI.

[1036] As one embodiment, it includes:

[1037] The target recipient of the first configuration information block deploys the first operation.

[1038] As one embodiment, the first CSI indicates at least one resource in a second resource set, the second resource set including resources that do not belong to the first resource set.

[1039] As one embodiment, it includes:

[1040] The second transmitter 2101 transmits a reference signal in the first resource set.

[1041] As one embodiment, the second transmitter 2101 transmits a reference signal in the first resource set.

[1042] As an example, the first operation is based on training or AI.

[1043] As an example, the first operation requires deployment.

[1044] As an example, the first operation is obtained by loading.

[1045] Those skilled in the art will understand that all or part of the steps in the above methods can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium, such as a read-only memory, hard disk, or optical disk. Optionally, all or part of the steps in the above embodiments can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the above embodiments can be implemented in hardware or in the form of software functional modules. This application is not limited to any specific combination of software and hardware. The user equipment, terminal, and UE in this application include, but are not limited to, drones, communication modules on drones, remote-controlled aircraft, aircraft, small aircraft, mobile phones, tablets, laptops, vehicle-mounted communication equipment, vehicles, RSUs, wireless sensors, internet cards, IoT terminals, RFID (Radio Frequency Identification) terminals, NB-IoT (Narrow Band Internet of Things) terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, internet cards, vehicle-mounted communication equipment, low-cost mobile phones, low-cost tablets, and other wireless communication devices. The base stations or system equipment in this application include, but are not limited to, macrocell base stations, microcell base stations, small cell base stations, home base stations, relay base stations, eNBs, gNBs, TRPs (Transmitter Receiver Points), GNSS (Global Navigation Satellite System), relay satellites, satellite base stations, airborne base stations, RSUs (Road Side Units), unmanned aerial vehicles, and testing equipment, such as transceivers or signaling testers that simulate some functions of a base station, and other wireless communication equipment.

[1046] Those skilled in the art will understand that this application may be implemented in other specified forms without departing from its core or essential characteristics. Therefore, the embodiments disclosed herein should in any way be considered descriptive rather than restrictive. The scope of the invention is defined by the appended claims rather than the foregoing description, and all modifications within their equivalent meaning and scope are considered to be included therein.

Claims

1. A method in a first node used for wireless communication, characterized by, Comprising: receiving a first configuration information block, the first configuration information block indicating a first resource set, the first resource set comprising one or more RS resources; receiving a first MAC CE; transmitting a first CSI, the first resource set being used for at least one of channel measurement or interference measurement of the first CSI; receiving a first DCI; receiving a first signal; wherein the first DCI comprises a target field, the target field comprising at least one bit, the target field comprising T1 codepoints and T2 codepoints, any codepoint in the T1 codepoints not belonging to the T2 codepoints, a value of the target field in the first DCI belonging to the T1 codepoints or the T2 codepoints, T1 being a positive integer, T2 being a positive integer; the first MAC CE indicating at least one TCI state being mapped to each codepoint in only the T1 codepoints of the target field; when the value of the target field in the first DCI belonging to the T1 codepoints, quasi co-location information of the first signal relying on the first MAC CE; when the value of the target field in the first DCI belonging to the T2 codepoints, quasi co-location information of the first signal relying on the first CSI.

2. The method in the first node according to claim 1, characterized by, The quasi co-location information of the first signal relying on the first CSI comprises: the first CSI comprising a first information block and a second information block, the first information block comprising channel information of a first time slot, the second information block comprising channel information of a second time slot, the first time slot and the second time slot being different; when the first signal belonging to a first time window in time domain, the quasi co-location information of the first signal relying on the first information block; when the first signal belonging to a second time window in time domain, the quasi co-location information of the first signal relying on the second information block.

3. A method in a first node according to claim 1 or 2, characterized by, The first MAC CE indicates at least one first type value being mapped to each codepoint in the T2 codepoints of the target field, the first type value being different from a TCI state identifier.

4. A method in a first node according to claim 3, characterised by, The first type value is used to identify a CSI reporting configuration; when the value of the target field in the first DCI belonging to the T2 codepoints, the value of the target field in the first DCI being a first codepoint, one first type value being mapped to the first codepoint of the target field is used to identify a reporting configuration of the first CSI, the first configuration information block being the reporting configuration of the first CSI.

5. A method in a first node according to any of claims 1 to 4, characterized by, N1 CSIs are transmitted by the first node, the first CSI being one of the N1 CSIs, N1 being a positive integer greater than 1; wherein, The first CSI is a CSI with the highest priority among the N1 CSIs; Or, the first CSI is a CSI transmitted latest among the N1 CSIs; Or, N1 CSI reporting configuration identifiers are respectively used to identify reporting configurations of the N1 CSIs, the first CSI relying on a default value in the N1 CSI reporting configuration identifiers.

6. A method in a first node according to any of claims 1 to 4, characterized by, N2 CSI are transmitted by the first node, the first CSI is one of the N2 CSI, N2 is a positive integer greater than 1; the first CSI is one CSI of the N2 CSI based on training or based on AI generation.

7. A method in a first node according to any of claims 1 to 6, characterized by, The generation of the first CSI is based on training or based on AI.

8. A method in a first node according to any of claims 1 to 7, characterized by, Comprise: Perform a first operation, the input of the first operation depends on the measurement based on the first resource set; The first CSI depends on the output of the first operation.

9. A method in a first node according to any of claims 1 to 8, characterized by, The first operation is based on training or based on AI.

10. A terminal, characterized by comprising: The terminal comprises one or more processors and a memory; The memory is coupled to the one or more processors, and the memory is used to store computer program code, the computer program code comprises 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, Comprise: Send a first configuration information block, the first configuration information block indicates a first resource set, the first resource set comprises one or more RS resources; Send a first MAC CE; Receive a first CSI, the first resource set is used for at least one of channel measurement or interference measurement of the first CSI; Send a first DCI; Send a first signal; Wherein, the first DCI comprises a target field, the target field comprises at least one bit, the target field comprises T1 code points and T2 code points, any code point in the T1 code points does not belong to the T2 code points, the value of the target field in the first DCI belongs to the T1 code points or the T2 code points, T1 is a positive integer, T2 is a positive integer; the first MAC CE indicates that at least one TCI state is mapped to each code point in only the T1 code points of the target field; when the value of the target field in the first DCI belongs to the T1 code points, the quasi co-location information of the first signal depends on the first MAC CE; when the value of the target field in the first DCI belongs to the T2 code points, the quasi co-location information of the first signal depends on the first CSI.

12. A method in a second node according to claim 11, characterised by, The quasi co-location information of the first signal depending on the first CSI comprises: the first CSI comprises a first information block and a second information block, the first information block comprises channel information of a first time slot, and the second information block comprises channel information of a second time slot, the first time slot and the second time slot are different; when the first signal belongs to a first time window in time domain, the quasi co-location information of the first signal depends on the first information block; when the first signal belongs to a second time window in time domain, the quasi co-location information of the first signal depends on the second information block.

13. A method in a second node according to claim 11 or 12, characterized by, The first MAC CE indicates that at least one first type value is mapped to each code point in the T2 code points of the target field, and the first type value is different from the TCI state identifier.

14. The method in the second node according to claim 13, characterized in that, The first type of value is used to identify a CSI reporting configuration; when the value of the target field in the first DCI belongs to the T2 code points, the value of the target field in the first DCI is a first code point, and a first type of value mapped to the first code point of the target field is used to identify the reporting configuration of the first CSI, and the first configuration information block is the reporting configuration of the first CSI.

15. A method in a second node according to any of claims 11-14, characterized by, N1 CSIs are sent by the target receiver of the first configuration information block, the first CSI being one of the N1 CSIs, N1 being a positive integer greater than 1; wherein, The first CSI is the CSI with the highest priority among the N1 CSIs; Or, the first CSI is the CSI sent last among the N1 CSIs; Or, N1 CSI reporting configuration identifiers are respectively used to identify the reporting configurations of the N1 CSIs, and the first CSI depends on a default value among the N1 CSI reporting configuration identifiers.

16. A method in a second node according to any of claims 11-14, characterized by, N2 CSIs are sent by the target receiver of the first configuration information block, the first CSI being one of the N2 CSIs, N2 being a positive integer greater than 1; the first CSI being a CSI generated based on training or based on AI among the N2 CSIs.

17. A method in a second node according to any of claims 11-16, characterized by, The generation of the first CSI is based on training or based on AI.

18. A method in a second node according to any of claims 11-17, characterized by, Comprising: The target receiver of the first configuration information block performs a first operation, the input of the first operation depending on the measurement based on the first resource set; The first CSI depends on the output of the first operation.

19. A method in a second node according to any of claims 11-18, characterized by, The first operation is based on training or based on AI.

20. A base station, comprising: The base station comprises 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, 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 perform the method of any one of claims 11 to 19.

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