Method and apparatus used in node for wireless communication

Abstract

The present application discloses a method and apparatus used in a node for wireless communication. The method comprises: receiving a first CSI reporting configuration, the first CSI reporting configuration indicating a first resource set, and the first resource set consisting of one or more periodic or semi-persistent RS resources; executing a first operation, the input of the first operation depending on a measurement based on the first resource set; sending a first signal, the first signal carrying a target CSI report, and the target CSI report depending on an output of the first operation, wherein the target CSI report comprises channel information of N time units, N is a positive integer, N depends on the number of transmission occasions of the RS resource in the first resource set that are not later than a reference resource, and the reference resource is not later than the first signal in time domain. The method improves the accuracy and real-time performance of channel information reporting.

Description

A method and apparatus in a node used for wireless communication

[0001] This application claims priority to the Chinese Patent Application No. 202410663096.3, filed on May 27, 2024, and entitled "A method and apparatus in a node used for wireless communication", the content of which is incorporated herein by reference in its entirety. TECHNICAL FIELD

[0002] The present application relates to a transmission method and apparatus in a wireless communication system, and in particular to a scheme and apparatus for reporting channel information in a wireless communication system. BACKGROUND

[0003] In a conventional wireless communication, a UE (User Equipment) obtains channel information by measuring a downlink reference signal. The channel information includes, but is not limited to, one or more of CRI (CSI-RS Resource Indicator), RI (Rank Indicator), PMI (Precoding Matrix Indicator), or CQI (Channel quality indicator).

[0004] With the adoption of new technologies, the increase in the number of antennas, the diversification of application scenarios, and the improvement of system performance requirements, the traditional measurement and reporting method will bring a large amount of redundant overhead. Therefore, in NR R(release)18, the research on AI(Artificial Intelligence) / ML(Machine Learning) technology is initiated to explore its impact on system performance and system design. Compared with the traditional processing method, AI / ML has the characteristics of being based on training and needing to be deployed. SUMMARY

[0005] Applicant has found through research that when AI / ML function is introduced, the existing measurement mechanism, reporting mechanism and related configuration signaling may not be able to adapt to the needs of AI / ML. In view of the above problems, the present application discloses a solution. It should be noted that although a large number of embodiments of the present application are developed for AI / ML, the present application is also applicable to other schemes, such as traditional CSI reporting schemes. In addition, the use of a unified solution in different scenarios (including but not limited to AI / ML-based schemes and traditional CSI reporting schemes) helps to reduce hardware complexity and cost. In the case of no conflict, the embodiments in the first node and the features in the embodiments of the present application can be applied to the second node, and vice versa. In the case of no conflict, the embodiments of the present application and the features in the embodiments can be arbitrarily combined with each other.

[0006] As an embodiment, the explanation of the terms in the present application is referred to the definition of the specification agreement TS38 series of 3GPP.

[0007] As an embodiment, the explanation of the terms in the present application is referred to the definition of the specification agreement TS28 series of 3GPP.

[0008] The present application discloses a method in a first node used for wireless communication, characterized in that, comprising:

[0009] receiving a first CSI reporting configuration; the first CSI reporting configuration indicates a first resource set, the first resource set is composed of one or more periodic or semi-persistent RS resources;

[0010] performing a first operation, the input of the first operation depends on the measurement based on the first resource set; sending a first signal, the first signal carries a target CSI report, the target CSI report depends on the output of the first operation;

[0011] Wherein, the target CSI report includes channel information of N time units, N is a positive integer; the N depends on the number of transmission occasions of the RS resources in the first resource set no later than the reference resource, the reference resource is no later than the first signal in time domain.

[0012] As an embodiment, the problem to be solved by the present application includes: how to obtain channel information of one or more time units based on the measurement of a resource set.

[0013] As an embodiment, the problem to be solved by the present application includes: how to determine the time unit corresponding to the channel information included in the CSI report.

[0014] As an embodiment, in the method, the time unit corresponding to the channel information included in the CSI reporting is determined according to a number of RS resources in the first resource set that are not later than a transmission time of the reference resource.

[0015] As an embodiment, the method has the advantage of improving the accuracy and real-time performance of the channel information reporting.

[0016] According to an aspect of the present application, the first node is a user equipment.

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

[0018] According to an aspect of the present application, the N depends on whether a number of RS resources in the first resource set that are not later than a transmission time of the reference resource is not less than M2, M2 being a positive integer.

[0019] As an embodiment, the method has the feature of determining the value of N according to whether a number of RS resources in the first resource set that are not later than a transmission time of the reference resource is not less than M2.

[0020] According to an aspect of the present application, when a number of RS resources in the first resource set that are not later than a transmission time of the reference resource is less than M2, the N is equal to 1 or the N is less than M1; M2 being a positive integer, M1 being a positive integer greater than 1; when a number of RS resources in the first resource set that are not later than a transmission time of the reference resource is equal to or greater than the M2, the N is equal to the M1.

[0021] As an embodiment, the method has the advantage of improving the accuracy of the channel information reporting.

[0022] According to an aspect of the present application, the N depends on a number of RS resources in the first resource set that satisfy a first condition, the first condition including a number of RS resources that are not later than a transmission time of the reference resource being equal to or greater than M2, M2 being a positive integer.

[0023] As an embodiment, the method has the feature of determining the value of N according to a number of RS resources in the first resource set that satisfy a condition of a number of RS resources that are not later than a transmission time of the reference resource being equal to or greater than M2.

[0024] According to one aspect of this application, the N is one of S candidate positive integers, S is a positive integer greater than 1, the S candidate positive integers and S integer sets correspond one-to-one, any integer set in the S integer sets consists of at least one non-negative integer; the quantity of RS resources in the first resource set that satisfy the first condition belongs to a target integer set in the S integer sets, the target integer set is one of the S integer sets, and N is equal to a candidate positive integer in the S candidate positive integers that corresponds to the target integer set.

[0025] As an example, the advantages of the above method include: selecting an appropriate value of N based on the number of RS resources that satisfy the first condition, thereby improving flexibility and adaptability.

[0026] According to one aspect of this application, the N is characterized in that whether the N is equal to the number of transmission times of M1 dependent on RS resources in the first resource set no later than the reference resource, the first CSI reporting configuration indicates the M1.

[0027] As an example, the advantages of the above method include: better adaptability to various application scenarios and terminals, and improved flexibility and adaptability.

[0028] According to one aspect of this application, the first operation is characterized in that it is based on training or AI.

[0029] As an example, the AI ​​(Artificial Intelligence) includes ML (Machine Learning).

[0030] As an example, the advantages of the above method include: better adaptability to various application scenarios and terminals, and improved flexibility and adaptability.

[0031] As an example, the advantages of the above method include: improved accuracy and real-time performance of channel information reporting.

[0032] According to one aspect of this application, the channel information of one of the N time units 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.

[0033] As an example, the advantages of the above method include reducing the overhead required to obtain channel information.

[0034] As an example, the advantages of the above method include reducing the measurement resources required to obtain channel information.

[0035] According to one aspect of this application, the first CSI reports a configuration indication of a first identifier, and the first operation is associated with the first identifier.

[0036] As an example, the advantages of the above method include: simplified design and good flexibility.

[0037] According to one aspect of this application, it is characterized by comprising:

[0038] Deploy the first operation.

[0039] 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.

[0040] 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.

[0041] According to one aspect of this application, it is characterized by comprising:

[0042] A reference signal is received in the first resource set.

[0043] As an example, the advantages of the above method include good backward compatibility.

[0044] This application discloses a method used in a second node for wireless communication, characterized by comprising:

[0045] Send a first CSI reporting configuration; the first CSI reporting configuration indicates a first resource set, the first resource set consisting of one or more periodic or semi-persistent RS resources; receive a first signal, the first signal carrying the target CSI report;

[0046] Wherein, the target receiver configured for the first CSI reporting performs a first operation, the input of the first operation depending on the measurement based on the first resource set; the target CSI reporting depends on the output of the first operation; the target CSI reporting includes channel information comprising N time units, where N is a positive integer; the N depends on the number of RS resources in the first resource set that are no later than the transmission timing of a reference resource, the reference resource being no later than the first signal in the time domain.

[0047] According to one aspect of this application, the second node is a base station.

[0048] According to one aspect of this application, the second node is a user equipment.

[0049] According to one aspect of this application, the second node is a relay node.

[0050] According to one aspect of this application, the number of transmission opportunities of N dependent on each RS resource in the first resource set no later than the reference resource is not less than M2, where M2 is a positive integer.

[0051] According to one aspect of this application, when the number of transmission opportunities of an RS resource in the first resource set no later than the reference resource is less than M2, N is equal to 1 or N is less than M1; M2 is a positive integer and M1 is a positive integer greater than 1; when the number of transmission opportunities of each RS resource in the first resource set no later than the reference resource is equal to or greater than M2, N is equal to M1.

[0052] According to one aspect of this application, the N depends on the number of RS resources in the first resource set that satisfy a first condition, the first condition including the number of transmission times no later than the reference resource being equal to or greater than M2, where M2 is a positive integer.

[0053] According to one aspect of this application, the N is one of S candidate positive integers, S is a positive integer greater than 1, the S candidate positive integers and S integer sets correspond one-to-one, any integer set in the S integer sets consists of at least one non-negative integer; the quantity of RS resources in the first resource set that satisfy the first condition belongs to a target integer set in the S integer sets, the target integer set is one of the S integer sets, and N is equal to a candidate positive integer in the S candidate positive integers that corresponds to the target integer set.

[0054] According to one aspect of this application, the N is characterized in that whether the N is equal to the number of transmission times of M1 dependent on RS resources in the first resource set no later than the reference resource, the first CSI reporting configuration indicates the M1.

[0055] According to one aspect of this application, the first operation is characterized in that it is based on training or AI.

[0056] According to one aspect of this application, the channel information of one of the N time units 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] According to one aspect of this application, the first CSI reports a configuration indication of a first identifier, and the first operation is associated with the first identifier.

[0058] According to one aspect of this application, it is characterized by comprising:

[0059] Send a reference signal in the first resource set.

[0060] This application discloses a first node used for wireless communication, characterized in that it comprises:

[0061] A first receiver receives a first CSI reporting configuration; the first CSI reporting configuration indicates a first resource set, which consists of one or more periodic or semi-persistent RS resources;

[0062] A first processor executes a first operation, the input of which depends on measurements based on the first resource set; and sends a first signal carrying a target CSI report, the target CSI report depending on the output of the first operation.

[0063] The target CSI report includes channel information for N time units, where N is a positive integer; N depends on the number of RS resources in the first resource set that are no later than the transmission timing of the reference resource, and the reference resource is no later than the first signal in the time domain.

[0064] This application discloses a second node used for wireless communication, characterized in that it comprises:

[0065] The second processor sends a first CSI reporting configuration; the first CSI reporting configuration indicates a first resource set, the first resource set consisting of one or more periodic or semi-persistent RS resources; and receives a first signal carrying a target CSI report.

[0066] Wherein, the target receiver configured for the first CSI reporting performs a first operation, the input of the first operation depending on the measurement based on the first resource set; the target CSI reporting depends on the output of the first operation; the target CSI reporting includes channel information comprising N time units, where N is a positive integer; the N depends on the number of RS resources in the first resource set that are no later than the transmission timing of a reference resource, the reference resource being no later than the first signal in the time domain.

[0067] As an example, compared with conventional solutions, this application has the following advantages:

[0068] Higher accuracy and real-time performance of channel information, resulting in enhanced overall system performance;

[0069] Lower air interface overhead;

[0070] More flexible and diverse input information;

[0071] Better flexibility and adaptability;

[0072] Enhanced reliability and robustness. Attached Figure Description

[0073] 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:

[0074] Figure 1 illustrates a flowchart of a first CSI reporting configuration and a first operation according to an embodiment of this application;

[0075] Figure 2 shows a schematic diagram of a network architecture according to an embodiment of this application;

[0076] 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;

[0077] Figure 4 shows a schematic diagram of a first communication device and a second communication device according to an embodiment of this application;

[0078] Figure 5 illustrates a flowchart of the transmission between a first node and a second node according to an embodiment of this application;

[0079] Figure 6 shows a schematic diagram of N according to an embodiment of this application;

[0080] Figure 7 shows a schematic diagram of N according to another embodiment of this application;

[0081] Figure 8 shows a schematic diagram of N according to yet another embodiment of this application;

[0082] Figure 9 shows a schematic diagram of N and the target set of integers according to an embodiment of this application;

[0083] Figure 10 shows a schematic diagram of a first CSI reporting configuration instruction M1 according to an embodiment of this application;

[0084] Figure 11 shows a schematic diagram of a first operation according to an embodiment of this application;

[0085] Figure 12 shows a schematic diagram of a second resource set according to an embodiment of this application;

[0086] Figure 13 shows a schematic diagram of a first identifier according to an embodiment of this application;

[0087] Figure 14 shows a schematic diagram of a first operation according to another embodiment of this application;

[0088] Figure 15 shows a schematic diagram of the deployment of a first operation on a first node according to an embodiment of this application;

[0089] Figure 16 shows a schematic diagram of receiving a reference signal in a first resource set according to an embodiment of the present application.

[0090] Figure 17 shows a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of this application;

[0091] Figure 18 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of this application;

[0092] Figure 19 shows a structural block diagram of a processing apparatus for a first node according to an embodiment of the present application;

[0093] Figure 20 shows a structural block diagram of a processing apparatus for a second node according to an embodiment of this application; Detailed Implementation

[0094] 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 5-20, the embodiments in Figure 5 and the embodiments in Figures 6-20, etc.

[0095] Example 1

[0096] Example 1 illustrates a flowchart of a first CSI reporting configuration and a first operation 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.

[0097] In Embodiment 1, the first node receives a first CSI reporting configuration in step 101; performs a first operation in step 102; and sends a first signal in step 103. The first CSI reporting configuration indicates a first resource set, which consists of one or more periodic or semi-persistent RS resources. The input of the first operation depends on measurements based on the first resource set. The first signal carries a target CSI report, which depends on the output of the first operation. The target CSI report includes channel information for N time units, where N is a positive integer. N depends on the number of RS resources in the first resource set whose transmission timing is no later than that of a reference resource, which is no later than the first signal in the time domain.

[0098] As an example, the first CSI reporting configuration is carried by higher layer signaling.

[0099] As an example, the first CSI reporting configuration is carried by RRC (Radio Resource Control) signaling.

[0100] As an example, the first CSI reporting configuration is carried by an RRC IE (Information Element).

[0101] As an example, the first CSI reporting configuration is carried by at least one RRC IE.

[0102] As an example, the first CSI reporting configuration includes information from one or more domains in at least one RRC IE.

[0103] As an example, the first CSI reporting configuration includes information from one or more domains of each of the multiple RRC IEs.

[0104] As an example, the first CSI reporting configuration is an RRC IE.

[0105] As an example, the first CSI reporting configuration belongs to CSI-ReportConfig IE.

[0106] As an example, the first CSI reporting configuration belongs to ServingCellConfig IE.

[0107] As an example, the first CSI reporting configuration belongs to CSI-MeasConfig IE.

[0108] As an example, the first CSI reporting configuration belongs to ServingCellConfigCommon IE.

[0109] As an example, the first CSI reporting configuration belongs to ServingCellConfigCommonSIB IE.

[0110] As one example, the first CSI reporting configuration includes some or all of the domains in the CSI-ReportConfig IE.

[0111] As one example, the first CSI reporting configuration includes some or all of the domains in the ServingCellConfig IE.

[0112] As one example, the first CSI reporting configuration includes some or all of the domains in the CSI-MeasConfig IE.

[0113] As an example, the first CSI reporting configuration includes some or all of the domains in the ServingCellConfigCommon IE.

[0114] As an example, the first CSI reporting configuration includes some or all of the domains in the ServingCellConfigCommonSIB IE.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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.

[0122] As an example, a set of RS resources for interference measurement includes one or more RS resources.

[0123] 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.

[0124] As one example, the first resource set includes one or more RS resources.

[0125] As one embodiment, the first resource set includes one or more downlink RS resources.

[0126] 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.

[0127] As one embodiment, the synchronization signal resources include at least the resources occupied by the synchronization signal.

[0128] As an example, the synchronization signal resource is an SSB (Synchronization Signal Block).

[0129] As an example, the synchronization signal resource is an SS / PBCH (synchronization signal / physical broadcast channel) block resource.

[0130] As an example, the first CSI reporting configuration indicates at least one resource configuration, and the at least one resource configuration indicates the first resource set.

[0131] As an example, the first CSI reporting configuration includes at least one resource configuration, which indicates the first resource set.

[0132] As an example, a resource configuration is used to configure CSI resources.

[0133] As an example, a resource configuration is an IE CSI-ResourceConfig.

[0134] As an example, a resource configuration is carried by an RRC IE.

[0135] As an example, a resource configuration is carried by the CSI-ResourceConfig IE.

[0136] As an example, the first CSI reports configuration information indicating the configuration of the first resource set.

[0137] As an example, the first CSI reports a configuration indicating the identifier of the first resource set.

[0138] As an example, the RS resource in the first resource set is a CSI-RS resource.

[0139] As an example, the RS resource in the first resource set is a CSI-RS resource or an SS / PBCH block resource.

[0140] As an example, the first resource set includes at least one of CSI-RS resources or SS / PBCH block resources.

[0141] As an example, the first resource set is used for channel measurement.

[0142] As one embodiment, the first signal includes a baseband signal.

[0143] As one embodiment, the first signal includes a wireless signal.

[0144] As one embodiment, the first signal includes a radio frequency signal.

[0145] As an example, the first signal is transmitted over the uplink physical channel.

[0146] As an example, the first signal is transmitted on PUSCH (Physical uplink shared channel).

[0147] As an example, the first signal is transmitted on PUCCH (Physical uplink control channel).

[0148] As an example, the channel information of N time units in the target CSI report is used to generate the first signal after channel coding.

[0149] As an example, the channel information of N time units in the target CSI report is used to generate the first signal after being channel-coded and modulated.

[0150] As an example, the channel information of N time units in the target CSI report is used to generate the first signal after bit sequence generation and channel coding.

[0151] As an example, the channel information of N time units in the target CSI report is used to generate the first signal after bit sequence generation, channel coding, and modulation.

[0152] As an example, the channel information of N time units in the target CSI report is multiplexed into the first signal after undergoing bit sequence generation, code block segmentation, CRC attachment, channel coding, rate matching, and code block concatenation.

[0153] As an example, the channel information of the N time units in the target CSI report is multiplexed into the physical channel where the first signal is located after bit sequence generation, code block segmentation and CRC addition, channel coding, rate matching and code block concatenation.

[0154] As an example, the target CSI report also indicates the N.

[0155] As an example, the N time units are orthogonal to each other.

[0156] As one example, the N time units are all different.

[0157] As an example, two time units overlap among the N time units.

[0158] As an example, the N time units are N orthogonal time slots.

[0159] As an example, any one of the N time units includes a time slot.

[0160] As an example, any one of the N time units includes one or more time slots.

[0161] As an example, any one of the N time units includes a subframe.

[0162] As an example, any one of the N time units includes one or more subframes.

[0163] As an example, any one of the N time units includes multiple consecutive symbols.

[0164] As an example, at least one of the N time units is not earlier than the time domain resources occupied by the first signal.

[0165] As an example, at least one of the N time units is later than the time domain resources occupied by the first signal.

[0166] As an example, the N time units are no earlier than the time domain resources occupied by the first signal.

[0167] As an example, the N time units are later than the time domain resources occupied by the first signal.

[0168] As an example, the N time units are consecutive.

[0169] As an example, the N time units are periodic.

[0170] As an example, the N time units are not consecutive.

[0171] As an example, the N time units are equally spaced.

[0172] As an example, the interval between any two adjacent time units in the N time units is P time units, where P is a positive integer.

[0173] As an example, any one of the N time units comprises a period of time.

[0174] As an example, the N time units have the same duration.

[0175] As an example, there are two time units among the N time units that have different durations.

[0176] As an example, the input to the first operation depends on the measurement of RS transmission timing in the first resource set that is no later than the reference resource; the N time units are no earlier or later than the reference resource.

[0177] As an example, the input to the first operation depends on the measurement of the RS transmission timing in the first resource set no later than the reference resource; the N time units are no earlier or later than the time domain resources occupied by the first signal.

[0178] As an example, the input to the first operation depends on a measurement of the RS transmission timing in the first resource set no later than that of the reference resource; the N time units are no earlier or later than the time unit to which the first signal belongs in the time domain.

[0179] As an example, when N equals 1, the N time units include the time slot where the CSI reference resource reported by the target CSI is located.

[0180] As an example, whether the N time units include time units later than the reference resource depends on the N.

[0181] As an example, when N equals 1, the N time units include the time slot where the reference resource is located; when N equals M1, some or all of the N time units are later than the time slot where the reference resource is located; M1 is a positive integer greater than 1.

[0182] As an example, when N equals 1, the N time units include the time domain resources occupied by the reference resource; when N equals M1, some or all of the N time units are not earlier than the time slot where the reference resource is located; M1 is a positive integer greater than 1.

[0183] As an example, when N equals 1, the N time units include the time domain resources occupied by the reference resource; when N equals M1, some or all of the N time units are later than the time slot where the reference resource is located; M1 is a positive integer greater than 1.

[0184] As an example, when N equals 1, the N time units include the time domain resources occupied by the reference resource; when N equals M1, some or all of the N time units are not earlier than the time slot where the first signal is located; M1 is a positive integer greater than 1.

[0185] As an example, when N equals 1, the N time units include the time domain resources occupied by the reference resource; when N equals M1, some or all of the N time units are later than the time slot where the first signal is located; M1 is a positive integer greater than 1.

[0186] As an example, whether the N time units are later than the time slot in which the first signal is located depends on N.

[0187] As an example, when N equals 1, the N time units are earlier than the time slot where the first signal is located; when N equals M1, some or all of the N time units are not earlier than the time slot where the first signal is located; M1 is a positive integer greater than 1.

[0188] As an example, when N equals 1, the N time units are no later than the time slot where the first signal is located; when N equals M1, some or all of the N time units are later than the time slot where the first signal is located; M1 is a positive integer greater than 1.

[0189] As an example, when N equals M1, some or all of the N time units are not earlier than the time slot where the first signal is located; M1 is a positive integer greater than 1.

[0190] As an example, when N equals M1, some or all of the N time units are later than the time slot where the first signal is located; M1 is a positive integer greater than 1.

[0191] As an example, when N equals M1, some or all of the N time units are not earlier than the time slot where the reference resource is located; M1 is a positive integer greater than 1.

[0192] As an example, when N equals M1, some or all of the N time units are later than the time slot where the reference resource is located; M1 is a positive integer greater than 1.

[0193] As an example, the target CSI report only includes channel information for N time units.

[0194] As an example, the target CSI report includes channel information for more than N time units, and the target CSI report includes channel information for N time units and channel information for one time unit other than the channel information for the N time units.

[0195] As an example, the target CSI report includes channel information in multiple time units, and the number of the multiple time units is not less than N.

[0196] As an example, the target CSI report includes channel information in multiple time units, the number of which is equal to N.

[0197] As an example, the target CSI report includes channel information in multiple time units, and the number of the multiple time units is greater than N.

[0198] As an example, the channel information for the N time units includes the predicted channel information for each of the N time units.

[0199] As an example, the channel information for the N time units includes the predicted beam information for each of the N time units.

[0200] As one embodiment, the predicted beam information includes a beam indicator or an RS resource indicator.

[0201] As one example, the predicted beam information includes beam indication and RSRP.

[0202] As an example, the predicted beam information includes RS resource indication and RSRP.

[0203] As an example, the predicted 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).

[0204] As an example, the channel information of any one of the N time units 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).

[0205] As an example, N depends on the number of transmission times of each RS resource in the first resource set that are no later than those of the reference resource.

[0206] As an example, N is equal to the number of transmission times of RS resources in the first resource set that are no later than the reference resource, depending on M1, where M1 is a positive integer greater than 1.

[0207] As an example, N is equal to the number of transmission times of M1 that depend on one RS resource in the first resource set no later than the reference resource, where M1 is a positive integer greater than 1.

[0208] As an example, N is equal to the number of transmission times of each RS resource in the first resource set that are no later than the reference resource, depending on M1, where M1 is a positive integer greater than 1.

[0209] As an example, whether N is equal to 1 or equal to M1 depends on the number of RS resources in the first resource set that are transmitted no later than the reference resource, and M1 is a positive integer greater than 1.

[0210] As an example, N is the number of positive integers from 1, 2, ..., M1 that depend on the transmission timing of RS resources in the first resource set no later than the reference resource, and M1 is a positive integer greater than 1.

[0211] As an example, the first CSI reports a configuration instruction to M1.

[0212] As an example, M1 is reported by the first node.

[0213] As an example, the capability reporting of the first node indicates M1.

[0214] Example 2

[0215] Example 2 illustrates a schematic diagram of a network architecture according to an embodiment of this application, as shown in Figure 2.

[0216] Figure 2 illustrates network architecture 200. Network architecture 200 is a 5G NR (New Radio) / LTE (Long-Term Evolution) / LTE-A (Long-Term Evolution Advanced) system, or a 5G+ network architecture, or a 6G network architecture, or a network architecture adopted in future evolutions by 3GPP; network architecture 200 may be referred to as 5GS (5G System) / EPS (Evolved Packet System), or 6GS (6G System); network architecture 200 includes at least one of UE (User Equipment) 201, RAN (Radio Access Network) 202, core network 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and Internet service 230. The network architecture 200 can interconnect with other access networks, but these entities / interfaces are not shown for simplicity. As shown, the network architecture 200 provides packet-switched services; however, those skilled in the art will readily understand that the various concepts presented throughout this application can be extended to networks providing circuit-switched services or other cellular networks. The RAN includes node 203. The RAN may also include other nodes 204. Node 203 provides user and control plane protocol termination toward UE 201. Node 203 may be connected to other nodes 204 via an Xn interface (e.g., backhaul) / X2 interface. Node 203 may also be referred to as a base station, base transceiver station, radio base station, radio transceiver, transceiver function, basic service set (BSS), extended service set (ESS), TRP (transmitter-receiver node), or some other suitable term. The core network 210 is a 5GC (5G Core Network) / EPC (Evolved Packet Core), or the core network 210 is a 6GC; node 203 provides UE 201 with an access point to the core network 210.Examples of UE201 include cellular phones, smartphones, Session Initiation Protocol (SIP) phones, laptops, personal digital assistants (PDAs), satellite radios, non-terrestrial base station communications, satellite mobile communications, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband IoT devices, machine-type communication devices, land vehicles, automobiles, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to UE201 as a mobile station, subscriber station, mobile unit, subscriber unit, radio unit, remote unit, mobile device, radio device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handheld device, user agent, mobile client, client, or any other suitable term. Node 203 is connected to the core network 210 via an S1 / NG interface. The core network 210 includes an MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MMEs / AMFs / SMFs 214, an S-GW (Service Gateway) / UPF (User Plane Function) 212, and a P-GW (Packet Data Network Gateway) / UPF 213. The MME / AMF / SMF 211 is the control node that handles signaling between the UE 201 and the core network 210. Generally, the MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocol) packets are transmitted through the S-GW / UPF 212, which is itself connected to the P-GW / UPF 213. The P-GW provides UE IP address allocation and other functions. The P-GW / UPF 213 is connected to the Internet service 230. Internet services 230 include operator-compliant Internet protocol services, which may specifically include Internet, intranet, IMS (IP Multimedia Subsystem), and packet switching services.

[0217] As an example, the first node includes the UE201.

[0218] As one embodiment, the second node includes the node 203.

[0219] As an example, the wireless link between the UE201 and the node203 includes a cellular link.

[0220] As an example, the sender of the first CSI reporting configuration includes the node 203.

[0221] As an example, the recipient of the first CSI reporting configuration includes the UE201.

[0222] As an example, the sender of the first resource set includes the node 203.

[0223] As an example, the recipient of the first resource set includes the UE201.

[0224] As an example, the sender of the first signal includes the UE201.

[0225] As an example, the receiver of the first signal includes the node 203.

[0226] Example 3

[0227] 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.

[0228] Example 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for a user plane and control plane according to this application, as shown in Figure 3. Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300. Figure 3 shows the radio protocol architecture for the control plane 300 between a first communication node device (UE, gNB, or RSU in V2X) and a second communication node device (gNB, UE, or RSU in V2X), or between two UEs, using three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (physical layer) signal processing functions. Layer 1 will be referred to herein as PHY 301. Layer 2 (L2 layer) 305 is above PHY 301 and is responsible for the link between the first communication node device and the second communication node device, or between two UEs. Layer L2 305 includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. It also provides security through encrypted data packets and supports cross-cell mobility between the second communication node devices and the first communication node device. The RLC sublayer 303 provides upper-layer packet segmentation and reassembly, retransmission of lost packets, and packet reordering to compensate for out-of-order reception due to HARQ (Hybrid Automatic Repeat reQuest). 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. MAC sublayer 302 is also responsible for HARQ operations. RRC (Radio Resource Control) sublayer 306 in layer 3 (L3) of control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and configuring the lower layers using RRC signaling between the second communication node device and the first communication node device.The radio protocol architecture 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.).

[0229] As an example, the wireless protocol architecture in Figure 3 is applicable to the first node.

[0230] As an example, the wireless protocol architecture in Figure 3 is applicable to the second node.

[0231] As an example, the higher layer mentioned in this application refers to the layer above the physical layer.

[0232] As an example, the first CSI reporting configuration is generated in the RRC sublayer 306.

[0233] As an example, the first signal is generated in the PHY301 or the PHY351.

[0234] As an example, the first signal is generated in the MAC sublayer 302 or the MAC sublayer 352.

[0235] Example 4

[0236] 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.

[0237] 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.

[0238] 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.

[0239] 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.

[0240] 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 (Acknowledgment) and / or NACK (Negative Acknowledgment) protocols to support HARQ operation.

[0241] 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.

[0242] 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.

[0243] As one embodiment, the second communication device 450 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The second communication device 450 means at least: receiving a first CSI reporting configuration; the first CSI reporting configuration indicating a first resource set, the first resource set consisting of one or more periodic or semi-persistent RS resources; performing a first operation, the input of the first operation depending on measurements based on the first resource set; transmitting a first signal carrying a target CSI report, the target CSI report depending on the output of the first operation; wherein the target CSI report includes channel information for N time units, N being a positive integer; the N depending on the number of RS resources in the first resource set whose transmission timing is no later than that of a reference resource, the reference resource being no later than the first signal in the time domain.

[0244] 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 CSI reporting configuration; the first CSI reporting configuration indicating a first resource set, the first resource set consisting of one or more periodic or semi-persistent RS resources; performing a first operation, the input of the first operation depending on measurements based on the first resource set; and transmitting a first signal carrying a target CSI report, the target CSI report depending on the output of the first operation; wherein the target CSI report includes channel information for N time units, N being a positive integer; the N depending on the number of RS resources in the first resource set whose transmission timing is no later than that of a reference resource, the reference resource being no later than the first signal in the time domain.

[0245] As one embodiment, the first communication device 410 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The first communication device 410 means at least: transmitting a first CSI reporting configuration; the first CSI reporting configuration indicating a first resource set, the first resource set consisting of one or more periodic or semi-persistent RS resources; receiving a first signal carrying a target CSI report; wherein a target receiver of the first CSI reporting configuration performs a first operation, the input of the first operation depending on a measurement based on the first resource set; the target CSI report depending on the output of the first operation; the target CSI report including channel information for N time units, N being a positive integer; the N depending on the number of RS resources in the first resource set whose transmission timing is no later than that of a reference resource in the time domain no later than the first signal.

[0246] 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: sending a first CSI reporting configuration; the first CSI reporting configuration indicating a first resource set, the first resource set consisting of one or more periodic or semi-persistent RS resources; receiving a first signal carrying a target CSI report; wherein a target receiver of the first CSI reporting configuration performs a first operation, the input of the first operation depending on measurements based on the first resource set; the target CSI report depending on the output of the first operation; the target CSI report includes channel information for N time units, where N is a positive integer; the N depends on the number of RS resources in the first resource set whose transmission timing is no later than that of a reference resource in the time domain no later than the first signal.

[0247] As an example, the first node in this application includes the second communication device 450.

[0248] As an example, the second node in this application includes the first communication device 410.

[0249] 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 CSI reporting configuration; 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 CSI reporting configuration.

[0250] 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.

[0251] 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 signal; and 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 signal.

[0252] Example 5

[0253] 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 F52 are optional.

[0254] For the second node U1, in step S511, a first CSI report configuration is sent; in step S5101, a signal is sent in the first resource set; and in step S512, a first signal is received.

[0255] For the first node U2, the first operation is deployed in step S5201; the first CSI configuration is received in step S521; a signal is received in the first resource set in step S5202; the first operation is executed in step S522; and the first signal is sent in step S523.

[0256] In Embodiment 5, the first CSI reporting configuration indicates a first resource set, which consists of one or more periodic or semi-persistent RS resources; the input of the first operation depends on measurements based on the first resource set; the first signal carries a target CSI report, which depends on the output of the first operation; the target CSI report includes channel information for N time units, where N is a positive integer; N depends on the number of RS resources in the first resource set that are transmitted no later than a reference resource, which is no later than the first signal in the time domain.

[0257] As an example, the first node U2 is the first node in this application.

[0258] As an example, the second node U1 is the second node in this application.

[0259] 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.

[0260] 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.

[0261] 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.

[0262] In one embodiment, the second node U1 is the serving cell sustaining base station of the first node U2.

[0263] As an example, the steps in block F51 of Figure 5 are present.

[0264] As an example, the steps in block F51 of Figure 5 are present; the method used in the first node for wireless communication includes:

[0265] Deploy the first operation.

[0266] As an example, sending a signal in the first resource set means sending a wireless signal in the first resource set.

[0267] As an example, sending a signal in the first resource set means sending a reference signal in the first resource set.

[0268] As an example, receiving a signal in the first resource set means receiving a wireless signal in the first resource set.

[0269] As an example, receiving a signal in the first resource set means receiving a reference signal in the first resource set.

[0270] As an example, the deployment of the first operation precedes the receipt of the first CSI reported configuration.

[0271] As an example, the deployment of the first operation is later than the receipt of the first CSI reported configuration.

[0272] 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 signal in the first resource set.

[0273] 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 signal in the first resource set.

[0274] As an example, the signal received in the first resource set includes a reference signal.

[0275] As an example, the signals received in the first resource set include wireless signals.

[0276] As an example, the first operation is used for beam prediction, and the first node employs a single-side AI model.

[0277] 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.

[0278] 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.

[0279] 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.

[0280] 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.

[0281] 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.

[0282] 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.

[0283] 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.

[0284] 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.

[0285] As an example, the channel measurement obtained based on the first resource set refers to the channel measurement obtained in the first resource set.

[0286] 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.

[0287] As an example, the interference measurement obtained based on the first resource set refers to the interference measurement obtained in the first resource set.

[0288] As one example, the channel measurement obtained based on the first resource set includes a channel matrix.

[0289] As an example, the channel measurements obtained based on the first resource set include the raw channel matrix.

[0290] As an example, the channel measurement obtained based on the first resource set includes an eigenvector.

[0291] As an example, the channel measurements obtained based on the first resource set include feature vectors and eigenvalues.

[0292] 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.

[0293] 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.

[0294] As an example, the interference measurement obtained based on the first resource set includes an interference channel matrix.

[0295] As an example, the interference measurement obtained based on the first resource set includes the interference covariance matrix.

[0296] As an example, the interference measurement obtained based on the first resource set includes an interference feature vector.

[0297] As an example, the interference measurement obtained based on the first resource set includes interference feature vectors and interference feature values.

[0298] As an example, the interference measurement obtained based on the first resource set includes interference beams.

[0299] 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:

[0300] As an example, the input to the first operation includes channel measurements obtained based on the first resource set.

[0301] As an example, the inputs to the first operation include channel measurements and interference measurements obtained based on the first resource set.

[0302] As an example, the input to the first operation includes interference measurements obtained based on the first resource set.

[0303] As an example, the interference measurement includes one or more of the following: interference power, interference variance, or interference power spectral density.

[0304] As an example, the input to the first operation includes a channel impulse response obtained based on measurements of the first resource set.

[0305] As an example, the input to the first operation includes a channel matrix obtained based on measurements of the first resource set.

[0306] 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.

[0307] 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.

[0308] As an example, the channel matrix is ​​in the spatial-frequency domain.

[0309] As an example, the channel matrix is ​​in the angular-delay domain projection.

[0310] 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.

[0311] As one example, the preprocessing includes one or more of matrix decomposition, matrix transformation, or projection.

[0312] As one example, the preprocessing includes quantization.

[0313] As one example, the preprocessing includes DFT.

[0314] 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.

[0315] As one example, the preprocessing includes truncation and / or padding.

[0316] As one example, the preprocessing includes mapping.

[0317] As one example, the preprocessing includes mapping to vectors.

[0318] As one example, the preprocessing includes labeling.

[0319] As an example, the label refers to a mark made with a label.

[0320] As an example, the target CSI report includes the output of the first operation.

[0321] As an example, the target CSI report includes the post-processed output of the first operation.

[0322] As an example, the target CSI report includes the truncated and / or quantized output of the first operation.

[0323] As an example, the output of the first operation is used to generate the target CSI report.

[0324] As an example, the output of the first operation, after post-processing, is used to generate the target CSI report.

[0325] As an example, the output of the first operation, after being truncated and / or quantized, is used to generate the target CSI report.

[0326] As an example, some or all of the output of the first operation is post-processed and used to generate the target CSI report.

[0327] As an example, some or all of the output of the first operation, after being truncated and / or quantized, is used to generate the target CSI report.

[0328] As an example, the target CSI report includes CSI.

[0329] As an example, the target CSI reporting includes one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, and TDCP.

[0330] As an example, the target CSI report includes a channel matrix.

[0331] As an example, the target CSI report includes a feature vector.

[0332] As an example, the target CSI report includes feature vectors and feature values.

[0333] As an example, the target CSI report includes precoded information.

[0334] As an example, the target CSI report includes pre-coded information based on a non-codebook.

[0335] As an example, the target CSI report is used to determine at least one precoding matrix.

[0336] As an example, the target CSI reporting indicates at least one precoding matrix.

[0337] As an example, the precoding matrix is ​​in the spatial-frequency domain.

[0338] As an example, the precoding matrix is ​​an angular-delay domain projection.

[0339] As an example, the target CSI reporting includes information on the relative phase, amplitude, and / or coefficients between multiple antenna ports.

[0340] As an example, the target CSI report includes predicted / estimated CSI.

[0341] As an example, the target CSI report includes predicted channel information.

[0342] As an example, the target CSI report includes predicted beam information.

[0343] As an example, the target CSI reporting includes compressed CSI.

[0344] As an example, the compressed CSI is based on a non-codebook.

[0345] As an example, the compressed CSI is not a CSI defined by 3GPP Rel-18, nor is it a CSI defined by versions prior to 3GPP Rel-18.

[0346] As an example, the channel parameters recovered by the target receiver of the compressed CSI based on the compressed CSI are unknown to the sender of the compressed CSI.

[0347] As an example, the compressed CSI is based on artificial intelligence or machine learning.

[0348] As an example, the compressed CSI is based on neural network CSI.

[0349] As an example, the compressed CSI is based on CNN (Conventional Neural Networks) CSI.

[0350] As an example, the target CSI reporting is periodic, semi-persistent, or aperiodic.

[0351] As an example, the target CSI report is transmitted over a physical channel.

[0352] As an example, the target CSI report is transmitted on PUSCH (Physical Uplink Shared Channel).

[0353] As an example, the target CSI report is transmitted on the PUCCH (Physical Uplink Control Channel).

[0354] As an example, the reference resource is the CSI reference resource reported by the target CSI, and the reference resource is earlier than the first signal in the time domain.

[0355] As an example, the reference resource is earlier in the time domain than the first signal.

[0356] As an example, the time slot in which the reference resource is located is earlier than the time slot in which the first signal is located.

[0357] As an example, the reference resource and the first signal are in the same time slot.

[0358] As an example, the reference resource includes at least one of time-domain resources or frequency-domain resources.

[0359] As an example, the reference resource includes at least one symbol in the time domain.

[0360] As an example, the reference resource includes at least one time slot in the time domain.

[0361] As an example, the reference resource includes at least one symbol in the time domain and at least one RB (resource block) in the frequency domain.

[0362] As one embodiment, the reference resource includes at least one time slot in the time domain and at least one RB (resource block) in the frequency domain.

[0363] As an example, the reference resource depends on the time-domain resources occupied by the first signal.

[0364] As one example, the reference resource depends on the time unit in which the first signal is located.

[0365] As an example, the reference resource is earlier than the time-domain resource occupied by the first signal.

[0366] As an example, the reference resource is earlier than the time unit in which the first signal is located.

[0367] As an example, a time unit includes a time slot.

[0368] As an example, a time unit includes a subframe.

[0369] As an example, a time unit includes multiple consecutive symbols.

[0370] As an example, the time slot where the first signal is located is n', and the reference resource is in time slot f(n'), where f(n') is a function.

[0371] As an example, the time slot where the first signal is located is n', and the reference resource is time slot f(n'), where f(n') is... Where μ DL and μ UL These are the downlink and uplink subcarrier spacings, respectively; 'o' is configurable. This indicates the floor function.

[0372] As a sub-implementation of the above embodiments, o is:

[0373] Where K offset It is configured by higher-level signaling, n CSI_ref Not less than The minimum value, μ Koffset , and μoffset These are all higher-level signaling configurations; for detailed information, please refer to section 5.2.2.5 of 3GPP TS38.214.

[0374] As an example, the symbol is a single-carrier symbol.

[0375] As an example, the symbol is a multi-carrier symbol.

[0376] As an example, the symbol is a 6G single-carrier symbol.

[0377] As an example, the symbol is a 6G multi-carrier symbol.

[0378] As an example, the multicarrier symbol is an OFDM (Orthogonal Frequency Division Multiplexing) symbol.

[0379] As an example, the symbols are obtained by passing the output of the transform precoding through OFDM symbol generation.

[0380] As an example, the multi-carrier symbol is an SC-FDMA (Single Carrier-Frequency Division Multiple Access) symbol.

[0381] As an example, the multicarrier symbol is a DFT-S-OFDM (Discrete Fourier Transform Spread OFDM) symbol.

[0382] As an example, the multi-carrier symbol is an FBMC (Filter Bank Multi Carrier) symbol.

[0383] As one embodiment, the multicarrier symbol includes CP (Cyclic Prefix).

[0384] As an example, the channel information of one of the N time units indicates at least one resource in the first resource set.

[0385] As one embodiment, the first resource set includes at least one RS resource; the channel information of one of the N time units indicates that at least one resource in the first resource set includes: the channel information of one of the N time units indicates at least one RS resource in the first resource set.

[0386] As one embodiment, the first resource set includes at least one beam; the channel information of one of the N time units indicates that at least one resource in the first resource set includes: the channel information of one of the N time units indicates at least one beam in the first resource set.

[0387] As one embodiment, the first resource set includes one or more beams; the channel information of one of the N time units indicates that at least one resource in the first resource set includes: the channel information of one of the N time units indicates at least one beam in the first resource set.

[0388] As one embodiment, the first resource set includes one or more vectors; the channel information of one of the N time units indicates at least one resource in the first resource set, including: the channel information of one of the N time units indicates at least one vector in the first resource set.

[0389] As one embodiment, the first resource set includes one or more matrices; the channel information of one of the N time units indicates at least one resource in the first resource set, including: the channel information of one of the N time units indicates at least one matrix in the first resource set.

[0390] As one embodiment, the first resource set includes one or more DFT vectors; the channel information of one of the N time units indicates that at least one resource in the first resource set includes: the channel information of one of the N time units indicates at least one DFT vector in the first resource set.

[0391] As one embodiment, the first resource set includes one or more codebooks; the channel information of one of the N time units indicates that at least one resource in the first resource set includes: the channel information of one of the N time units indicates at least one codebook in the first resource set.

[0392] As one embodiment, the first resource set includes one or more antenna ports; the channel information of one of the N time units indicates that at least one resource in the first resource set includes: the channel information of one of the N time units indicates at least one antenna port in the first resource set.

[0393] Example 6

[0394] Example 6 illustrates a schematic diagram of N according to an embodiment of this application; as shown in Figure 6. In Example 6, N depends on whether the number of transmission opportunities for each RS resource in the first resource set no later than the reference resource is not less than M2, where M2 is a positive integer.

[0395] As an example, the method for determining N differs in two cases: when the number of transmission opportunities no later than the reference resource for each RS resource in the first resource set is not less than M2, and when the number of transmission opportunities no later than the reference resource for each RS resource is less than M2.

[0396] As an example, whether N is equal to M1 depends on whether the number of transmission opportunities of each RS resource in the first resource set that are no later than the reference resource is less than M2, where M2 is a positive integer and M1 is a positive integer greater than 1.

[0397] As a sub-implementation of the above embodiment, when the number of transmission opportunities no later than the reference resource for each RS resource in the first resource set is less than M2, N is not equal to M1; when the number of transmission opportunities no later than the reference resource for each RS resource in the first resource set is not less than M2, N is equal to M1.

[0398] As a sub-implementation of the above embodiment, when the number of transmission opportunities no later than the reference resource for each RS resource in the first resource set is less than M2, N is not equal to M1; when the number of transmission opportunities no later than the reference resource for each RS resource in the first resource set is equal to or greater than M2, N is equal to M1.

[0399] As an example, M2 is equal to 1.

[0400] As an example, M2 is greater than 1.

[0401] As an example, M2 is configurable.

[0402] As an example, M2 is reported by the first node.

[0403] As an example, the capability reporting of the first node indicates the M2.

[0404] As an example, the first CSI resource configuration indicates the first resource set, and the first CSI resource configuration indicates the M2.

[0405] As an example, the first CSI reports the configuration instruction to M2.

[0406] As an example, M2 is equal to M1.

[0407] As an example, M2 is not equal to M1.

[0408] As an example, M2 is smaller than M1.

[0409] As an example, M2 is greater than M1.

[0410] As an example, the value range of M2 is the same as the value range of M1.

[0411] As an example, the value range of M2 is different from that of M1.

[0412] As an example, a candidate value of M2 is a candidate value of M1.

[0413] As an example, the maximum candidate value of M2 is the same as the maximum candidate value of M1.

[0414] As an example, the maximum candidate value of M2 is different from the maximum candidate value of M1.

[0415] As an example, the maximum candidate value of M2 is less than the maximum candidate value of M1.

[0416] As an example, the maximum candidate value of M2 is greater than the maximum candidate value of M1.

[0417] Example 7

[0418] Example 7 illustrates a schematic diagram of N according to another embodiment of this application; as shown in Figure 7. In Example 7, when the number of transmission opportunities no later than the reference resource for one RS resource in the first resource set is less than M2, N is equal to 1 or N is less than M1; M2 is a positive integer, and M1 is a positive integer greater than 1; when the number of transmission opportunities no later than the reference resource for each RS resource in the first resource set is equal to or greater than M2, N is equal to M1.

[0419] As an example, M2 is equal to 1.

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

[0421] Example 8

[0422] Example 8 illustrates a schematic diagram of N according to yet another embodiment of this application; as shown in Figure 8. In Example 8, N depends on the number of RS resources in the first resource set that satisfy a first condition, the first condition including the number of transmission times no later than the reference resource being equal to or greater than M2, where M2 is a positive integer.

[0423] As an example, whether N is equal to M1 depends on the number of RS resources in the first resource set that satisfy a first condition, the first condition including the number of transmission times no later than the reference resource being equal to or greater than M2, where M2 is a positive integer and M1 is a positive integer greater than 1.

[0424] As an example, M2 is equal to 1.

[0425] As an example, M2 is greater than 1.

[0426] As an example, M2 is configurable.

[0427] As an example, M2 is reported by the first node.

[0428] As an example, the capability reporting of the first node indicates the M2.

[0429] As an example, the first CSI resource configuration indicates the first resource set, and the first CSI resource configuration indicates the M2.

[0430] As an example, the first CSI reports the configuration instruction to M2.

[0431] As an example, M2 is equal to M1.

[0432] As an example, M2 is not equal to M1.

[0433] As an example, M2 is smaller than M1.

[0434] As an example, M2 is greater than M1.

[0435] As an example, the value range of M2 is the same as the value range of M1.

[0436] As an example, the value range of M2 is different from that of M1.

[0437] As an example, a candidate value of M2 is a candidate value of M1.

[0438] As an example, the maximum candidate value of M2 is the same as the maximum candidate value of M1.

[0439] As an example, the maximum candidate value of M2 is different from the maximum candidate value of M1.

[0440] As an example, the maximum candidate value of M2 is less than the maximum candidate value of M1.

[0441] As an example, the maximum candidate value of M2 is greater than the maximum candidate value of M1.

[0442] As an example, when each RS resource in the first resource set does not satisfy the first condition, N is equal to 1 or N is less than M1; M1 is a positive integer greater than 1; when one RS resource in the first resource set satisfies the first condition, N is equal to M1.

[0443] As an example, when the number of RS resources in the first resource set that satisfy the first condition is less than M3, N is equal to 1 or N is less than M1; M3 is a positive integer and M1 is a positive integer greater than 1; when the number of RS resources in the first resource set that satisfy the first condition is equal to or greater than M3, N is equal to M1.

[0444] As a sub-implementation of the above embodiments, M3 is predefined.

[0445] As a sub-example of the above embodiment, M3 is a fixed value.

[0446] As a sub-implementation of the above embodiments, M3 is the default.

[0447] As a sub-example of the above embodiment, M3 is equal to 1.

[0448] As a sub-example of the above embodiment, M3 is greater than 1.

[0449] As a sub-implementation of the above embodiments, M3 is configurable.

[0450] As a sub-implementation of the above embodiment, M3 is reported by the first node.

[0451] As a sub-implementation of the above embodiment, the capability reporting of the first node indicates the M3.

[0452] As a sub-implementation of the above embodiments, the first CSI resource configuration indicates the first resource set, and the first CSI resource configuration indicates the M3.

[0453] As a sub-implementation of the above embodiment, the first CSI reports the configuration instruction to M3.

[0454] As a sub-example of the above embodiment, M3 is equal to the total number of RS resources in the first resource set.

[0455] As a sub-implementation of the above embodiment, M3 is less than the total number of RS resources in the first resource set.

[0456] As a sub-implementation of the above embodiment, M3 is not less than the product of the first coefficient and the total number of RS resources in the first resource set, where the first coefficient is a positive real number not greater than 1.

[0457] Example 9

[0458] Example 9 illustrates a schematic diagram of N and a target set of integers according to an embodiment of this application; as shown in Figure 9. In Figure 9, positive integers #1, ..., N, ..., positive integers #S represent S candidate positive integers; integer sets #1, ..., target set of integers, ..., integer set #S represent S sets of integers.

[0459] In Example 9, N is one of S candidate positive integers, S is a positive integer greater than 1, the S candidate positive integers and the S integer sets are respectively one-to-one, and any integer set in the S integer sets consists of at least one non-negative integer; the quantity of RS resources in the first resource set that satisfy the first condition belongs to the target integer set in the S integer sets, the target integer set is one of the S integer sets, and N is equal to a candidate positive integer in the S candidate positive integers that corresponds to the target integer set.

[0460] As an example, any two integer sets in the S integer sets contain different non-negative integers.

[0461] As an example, each of the S integer sets contains the same number of integers.

[0462] As an example, each of the S integer sets contains a different number of integers.

[0463] As an example, the integers included in the S integer sets are divided into S groups in order of size, and the integers included in the S groups respectively form the S integer sets.

[0464] As an example, when the integers included in one of the S integer sets are all greater than the integers included in another of the S integer sets, the positive integers corresponding to the one integer set are greater than the positive integers corresponding to the other integer set.

[0465] As an example, when the minimum value of the integers included in one of the S integer sets is greater than the maximum value of the integers included in another of the S integer sets, the positive integer corresponding to the one integer set is greater than the positive integer corresponding to the other integer set.

[0466] As an example, when the non-negative integers included in the target integer set are less than M3; N is equal to 1 or N is less than M1; M3 is a positive integer and M1 is a positive integer greater than 1; when the non-negative integers included in the target integer set are equal to or greater than M3, N is equal to M1.

[0467] As an example, N increases as the number of RS resources in the first resource set that satisfy the first condition increases.

[0468] Example 10

[0469] Example 10 illustrates a schematic diagram of a first CSI reporting configuration indication M1 according to an embodiment of this application; as shown in Figure 10. In Example 10, the first CSI reporting configuration indication M1 is determined by whether N is equal to the number of transmission times of RS resources in the first resource set no later than the reference resource.

[0470] As an example, whether N is equal to the number of transmission opportunities of M1 that depend on one RS resource in the first resource set no later than the reference resource, the first CSI reporting configuration indicates M1.

[0471] As an example, whether N is equal to the number of transmission times of each RS resource in the first resource set that are no later than the reference resource depends on M1, the first CSI reporting configuration indicates M1.

[0472] As an example, whether N is equal to M1 depends on whether the number of transmission opportunities of each RS resource in the first resource set that are no later than the reference resource is not less than M2, and the first CSI reporting configuration indicates M1.

[0473] As an example, when the number of transmission opportunities no later than the reference resource for one RS resource in the first resource set is less than M2, N is equal to 1 or N is less than M1; M2 is a positive integer and M1 is a positive integer greater than 1; when the number of transmission opportunities no later than the reference resource for each RS resource in the first resource set is equal to or greater than M2, N is equal to M1, and the first CSI reporting configuration indicates M1.

[0474] As an example, N depends on the number of RS resources in the first resource set that satisfy a first condition, the first condition including the number of transmission times no later than the reference resource being equal to or greater than M2, and the first CSI reporting configuration indicating M1.

[0475] As an example, when the number of RS resources in the first resource set that satisfy the first condition is less than M3, N is equal to 1 or N is less than M1; M3 is a positive integer and M1 is a positive integer greater than 1; when the number of RS resources in the first resource set that satisfy the first condition is equal to or greater than M3, N is equal to M1; the first CSI reporting configuration indicates M1.

[0476] As an example, the first CSI reporting configuration indicates a resource configuration, the resource configuration indicates the first resource set, and the resource configuration also indicates the M1.

[0477] As an example, the candidates for M1 include at least one positive integer greater than 1, and the first CSI reporting configuration indicates M1 from the at least one positive integer greater than 1.

[0478] Example 11

[0479] Example 11 illustrates a schematic diagram of a first operation according to an embodiment of this application; as shown in Figure 11. In Example 11, the first operation is training-based or AI-based.

[0480] 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.

[0481] As an example, the advantages of the above method include: it is suitable for channel compression and saves feedback overhead.

[0482] 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.

[0483] 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.

[0484] 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.

[0485] 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.

[0486] As an example, the advantages of the above method include: reduced RS overhead and reduced feedback latency.

[0487] As an example, the channel information in this application includes beam information.

[0488] 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.

[0489] 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.

[0490] 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.

[0491] 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.

[0492] 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.

[0493] 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.

[0494] 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.

[0495] 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.

[0496] As an example, the benefits of the above method include: improved CSI accuracy and real-time performance, and reduced RS overhead.

[0497] 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.

[0498] As an example, the benefits of the above method include: reduced RS overhead and improved accuracy and completeness of CSI.

[0499] 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.

[0500] As a sub-implementation of the above embodiment, the P1 antenna ports are a proper subset of the P2 antenna ports.

[0501] As a sub-implementation of the above embodiment, the P2 antenna ports belong to the second resource set.

[0502] 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.

[0503] As a sub-implementation of the above embodiments, the first frequency domain resource is a proper subset of the second frequency domain resource.

[0504] As an example, the first operation is based on training.

[0505] As an example, the first operation is obtained through training.

[0506] As one example, the training for obtaining the first operation is performed by the first node.

[0507] As one example, the training for obtaining the first operation is performed by the sender of the first CSI reporting configuration.

[0508] As one example, the training for obtaining the first operation is performed by the sender of the first resource set.

[0509] As an example, the training for obtaining the first operation is performed by the MDA (Management Data Analytics Function).

[0510] As an example, the training for obtaining the first operation is performed by the MDAS (Management Data Analytics Service) producer.

[0511] As an example, the training for obtaining the first operation is performed by NWDAF (Network Data Analytics Function).

[0512] As an example, the training for obtaining the first operation is performed by the core network.

[0513] As an example, the training for obtaining the first operation is performed by an AI training producer.

[0514] As an example, the executor for obtaining the training of the first operation is different from the sender of the first CSI reporting configuration.

[0515] As one example, the executor for obtaining the training of the first operation is different from the sender of the first resource set.

[0516] As an example, the first operation includes inference.

[0517] As one example, the first operation includes AI (Artificial Intelligence).

[0518] As an example, the first operation is a deduction.

[0519] As an example, the first operation is AI inference.

[0520] As an example, the first operation includes AI inference for CSI.

[0521] As an example, the first operation includes AI inference for beam prediction.

[0522] 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.

[0523] As an example, the first operation is AI inference for CSI.

[0524] As an example, the first operation includes AI inference for at least one of beam prediction, CSI prediction, CSI estimation, or CSI compression.

[0525] As an example, the CSI prediction includes beam prediction.

[0526] 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.

[0527] As an example, the first operation is based on an AI model.

[0528] As one example, the first operation includes an AI entity.

[0529] As an example, the first operation includes an AI inference entity.

[0530] As an example, the first operation includes an AI entity for inference.

[0531] As an example, the first operation includes a portion of an AI entity.

[0532] As an example, the first operation includes a portion of an AI entity used for inference.

[0533] As an example, the first operation includes an AI entity for CSI.

[0534] As one example, the first operation includes an AI entity for beam prediction.

[0535] As one example, the first operation includes an AI entity for CSI prediction, estimation, or compression.

[0536] As an example, the first operation includes inference of AI entities for CSI.

[0537] As an example, the first operation includes inferences about AI entities used for CSI prediction, estimation, or compression.

[0538] As an example, the first operation is performed by an AI entity.

[0539] As an example, the first operation is performed by an AI entity deployed on the first node.

[0540] As an example, the first operation is performed by an AI function.

[0541] As an example, the first operation is performed by an AI function deployed on the first node.

[0542] As one example, the AI ​​functionality includes AI inference capabilities.

[0543] As one example, the AI ​​functionality includes AI training functionality.

[0544] As one example, the AI ​​functionality includes AI management functionality.

[0545] As an example, the first operation is performed by the physical layer of the first node.

[0546] As an example, the first operation is performed at a higher level than the first node.

[0547] As an example, the first operation requires deployment.

[0548] As an example, the first operation is obtained by loading.

[0549] As an example, the first operation is obtained from the serving cell of the first node.

[0550] As an example, the first operation is obtained from the maintenance base station loading of the serving cell of the first node.

[0551] As an example, the first operation is obtained from the core network.

[0552] As an example, the first operation is based on artificial intelligence or machine learning.

[0553] As an example, the first operation is based on a neural network.

[0554] As an example, the first operation includes CSI compression based on a neural network.

[0555] As one example, the first operation includes an encoder for CSI compression based on a neural network.

[0556] As an example, the first operation includes CNN-based CSI compression.

[0557] As an example, the first operation includes a CNN-based CSI compression encoder.

[0558] As an example, the output of the first operation is based on a non-codebook.

[0559] 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.

[0560] As an example, the output of the first operation is based on artificial intelligence or machine learning.

[0561] As an example, the output of the first operation is based on a neural network.

[0562] As an example, the output of the first operation is based on a CNN.

[0563] As an example, the output of the first operation includes CSI.

[0564] As an example, the output of the first operation includes predicted beam information.

[0565] As an example, the output of the first operation includes beam indication and RSRP.

[0566] As an example, the output of the first operation includes an RS resource indication and an RSRP.

[0567] As an example, the output of the first operation includes a resource indication and an RSRP.

[0568] 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).

[0569] As an example, the output of the first operation includes one or more of PMI, CRI, CQI, RI, LI (layer indicator), SSBRI, RSRP, SINR (signal-to-interference and noise ratio), capability index, and TDCP.

[0570] As an example, the output of the first operation includes a channel impulse response.

[0571] As an example, the output of the first operation includes small-scale characteristics.

[0572] 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.

[0573] As an example, the output of the first operation includes a channel matrix.

[0574] As an example, the first node is a user (consumer).

[0575] As an example, the first node is the user of the AI ​​function.

[0576] As an example, the first node is the user of AI inference.

[0577] As an example, the first node is the user who trained the AI.

[0578] As an example, the first node is an MnS (Management Service) user.

[0579] As an example, the first node is the producer of AI inference.

[0580] As an example, the first node is the AI ​​training producer.

[0581] As one example, the first operation includes preprocessing.

[0582] As an example, the preprocessing includes DFT (Discrete Fourier Transform).

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

[0584] 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.

[0585] As one example, the preprocessing includes truncation and / or padding.

[0586] As one example, the preprocessing includes mapping.

[0587] As one example, the preprocessing includes mapping to vectors.

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

[0589] As an example, the label refers to a mark made with a label.

[0590] As one example, the first operation includes post-processing.

[0591] As one example, the post-processing includes DFT.

[0592] As one example, the post-processing includes quantization.

[0593] 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.

[0594] As one example, the post-processing includes truncation and / or padding.

[0595] As an example, the first operation includes one or more of convolution, pooling, cascading, and activation.

[0596] As one embodiment, the first operation includes a fully connected layer.

[0597] As an example, the first operation includes a pooling layer.

[0598] As one embodiment, the first operation includes at least one convolutional layer.

[0599] As an example, the first operation includes at least one encoding layer.

[0600] As an example, an encoding layer includes at least one convolutional layer and one pooling layer.

[0601] 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.

[0602] 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.

[0603] 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.

[0604] Example 12

[0605] Example 12 illustrates a schematic diagram of a second resource set according to an embodiment of this application; as shown in Figure 12. In Figure 12, the channel information of N time units is represented as the channel information of time unit #1, ..., the channel information of time unit #N; resources #1, ..., resources #m, ..., resources #n, ... represent resources in the second resource set.

[0606] In Embodiment 12, the channel information of one of the N time units 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.

[0607] As an example, the first node is not required to measure the second resource set.

[0608] As one example, the first resource set is used for measurement, and the second resource set is used for prediction.

[0609] As an example, only the first resource set is used for measurement, either the first resource set or the second resource set.

[0610] 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.

[0611] 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.

[0612] As an example, the first operation performs spatial beam prediction for a second resource set based on measurements of the first resource set.

[0613] As an example, the advantages of the above method include: reduced RS overhead and reduced feedback latency.

[0614] As an example, the first operation performs channel information prediction for a second resource set based on measurements of the first resource set.

[0615] As an example, the channel information in this application includes beam information.

[0616] As an example, the first operation performs temporal beam prediction for the second resource set based on historical measurements of the first resource set.

[0617] As an example, the advantages of the above method include: reducing beam feedback delay and improving the real-time performance of beam acquisition.

[0618] 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.

[0619] 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.

[0620] As one embodiment, the second resource set includes the first resource set and resources outside the first resource set.

[0621] 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.

[0622] 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.

[0623] 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.

[0624] As one embodiment, the second resource set includes resources that do not belong to the first resource set.

[0625] As one embodiment, the second resource set includes antenna ports that do not belong to the first resource set.

[0626] 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.

[0627] As one example, the second resource set includes at least one training dataset.

[0628] As an example, the second resource set is used to train an AI model.

[0629] 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.

[0630] 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.

[0631] 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.

[0632] 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.

[0633] 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.

[0634] As one embodiment, the second resource set includes one or more RS resources.

[0635] As one embodiment, the second resource set includes one or more downlink RS resources.

[0636] 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.

[0637] As an example, the RS resource in the second resource set is a CSI-RS resource.

[0638] As an example, the RS resource in the second resource set is a CSI-RS resource or an SS / PBCH block resource.

[0639] As one embodiment, the second resource set includes at least one of CSI-RS resources or SS / PBCH block resources.

[0640] As an example, the first CSI reporting configuration indicates at least one resource configuration, and the at least one resource configuration indicates the second resource set.

[0641] As an example, the first CSI reporting configuration includes at least one resource configuration, which indicates the second resource set.

[0642] As an example, the first CSI reporting configuration indicates at least one resource configuration, and the at least one resource configuration indicates the first resource set and the second resource set.

[0643] As an example, the first CSI reporting configuration includes at least one resource configuration, which indicates the first resource set and the second resource set.

[0644] As an example, the first CSI reporting configuration indicates a resource configuration, wherein the resource configuration indicates the first resource set and the second resource set.

[0645] As an example, the first CSI reporting configuration indicates two resource configurations, which respectively indicate the first resource set and the second resource set.

[0646] As an example, the first CSI reports configuration information indicating the configuration of the second resource set.

[0647] As an example, the first CSI reports a configuration indicating the identifier of the second resource set.

[0648] As one embodiment, the first CSI reporting configuration is used to indicate the second resource set from the reference resource set.

[0649] As one example, the first CSI reports a configuration indicator with a first identifier, and the second resource set depends on the first identifier.

[0650] As one embodiment, the second resource set depends on the first identifier, which is used to identify the second resource set.

[0651] 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.

[0652] 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 CSI reporting configuration being used to indicate the second resource set from the reference resource set.

[0653] As an example, the input to the first operation also includes the second resource set.

[0654] As an example, the channel information of one of the N time units indicates at least one resource in the second resource set.

[0655] As one embodiment, the second resource set includes at least one RS resource; the channel information of one of the N time units indicates that at least one resource in the second resource set includes: the channel information of one of the N time units indicates at least one RS resource in the second resource set.

[0656] As one embodiment, the second resource set includes at least one beam; the channel information of one of the N time units indicates that at least one resource in the second resource set includes: the channel information of one of the N time units indicates at least one beam in the second resource set.

[0657] As one embodiment, the second resource set includes one or more beams; the channel information of one of the N time units indicates that at least one resource in the second resource set includes: the channel information of one of the N time units indicates at least one beam in the second resource set.

[0658] As one embodiment, the second resource set includes one or more vectors; the channel information of one of the N time units indicates at least one resource in the second resource set, including: the channel information of one of the N time units indicates at least one vector in the second resource set.

[0659] As one embodiment, the second resource set includes one or more matrices; the channel information of one of the N time units indicates at least one resource in the second resource set, including: the channel information of one of the N time units indicates at least one matrix in the second resource set.

[0660] As one embodiment, the second resource set includes one or more DFT vectors; the channel information of one of the N time units indicates that at least one resource in the second resource set includes: the channel information of one of the N time units indicates at least one DFT vector in the second resource set.

[0661] As one embodiment, the second resource set includes one or more codebooks; the channel information of one of the N time units indicates at least one resource in the second resource set, including: the channel information of one of the N time units indicates at least one codebook in the second resource set.

[0662] As one embodiment, the second resource set includes one or more antenna ports; the channel information of one of the N time units indicates that at least one resource in the second resource set includes: the channel information of one of the N time units indicates at least one antenna port in the second resource set.

[0663] Example 13

[0664] Example 13 illustrates a schematic diagram of a first identifier according to an embodiment of this application; as shown in Figure 13. In Example 13, the first CSI reports a configuration indication of the first identifier, and the first operation is associated with the first identifier.

[0665] As an example, the first identifier is a non-negative integer.

[0666] As an example, the first identifier is a string.

[0667] As an example, the first operation is identified by the first identifier.

[0668] As an example, the AI ​​model used in the first operation is identified by the first identifier.

[0669] As an example, the AI ​​entity to which the first operation belongs is identified by the first identifier.

[0670] As an example, the AI ​​function to which the first operation belongs is identified by the first identifier.

[0671] As an example, the AI ​​entity or AI function to which the first operation belongs is identified by the first identifier.

[0672] As an example, the advantages of the above method include: identifying an AI entity or function through the first identifier simplifies the design and unifies the understanding of different AI entities or functions across multiple nodes.

[0673] As an example, the AI ​​function that performs the first operation is identified by the first identifier.

[0674] As an example, the AI ​​entity performing the first operation is identified by the first identifier.

[0675] As an example, the AI ​​entity or AI function that performs the first operation is identified by the first identifier.

[0676] As an example, the first identifier is a model identifier.

[0677] As an example, the first identifier is used to identify an AI model.

[0678] As an example, the first identifier is used by the first node to identify an AI model.

[0679] As an example, the first identifier is used by the first node to determine the AI ​​model used in the first operation.

[0680] As an example, the advantages of the above method include: identifying an AI model / entity / function through the first identifier simplifies the design and unifies the understanding of different AI entities / functions across multiple nodes.

[0681] As one embodiment, the first identifier is used to identify or indicate a set of reference resources, and the measurement of the set of reference resources is used to obtain a training dataset for the first operation.

[0682] As one embodiment, the first identifier is used to identify the configuration information of the reference resource set, and the measurement of the reference resource set is used to obtain the training dataset for the first operation.

[0683] As one example, the training for obtaining the first operation is identified by the first identifier.

[0684] As an example, the dataset used for training the first operation is identified by the first identifier.

[0685] As an example, the benefits of the above method include: by identifying an AI training or AI training dataset to recognize the inferences generated by that AI training or AI training dataset, consensus is established between different AI functions, further simplifying the design.

[0686] As an example, the first CSI reporting configuration indicates the first operation by indicating the first identifier.

[0687] As an example, the first CSI reporting configuration indicates the use of the AI ​​model by indicating the first identifier.

[0688] As an example, the first CSI reporting configuration instructs the first identifier to obtain input of AI entities / functions / inferences associated with the first identifier.

[0689] As an example, the first operation performs spatial beam prediction for a second resource set based on measurements of the first resource set, the second resource set depending on the first identifier.

[0690] As an example, the advantages of the above method include: reduced RS overhead and reduced feedback latency.

[0691] As one embodiment, the first operation performs channel information prediction for a second resource set based on measurements of the first resource set, the second resource set depending on the first identifier.

[0692] As an example, the channel information in this application includes beam information.

[0693] As an example, the first operation performs temporal beam prediction for a second resource set based on historical measurements of the first resource set, the second resource set depending on the first identifier.

[0694] As an example, the advantages of the above method include: reducing beam feedback delay and improving the real-time performance of beam acquisition.

[0695] As one embodiment, the first operation performs temporal channel information prediction for a second resource set based on historical measurements of the first resource set, the second resource set depending on the first identifier.

[0696] 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.

[0697] Example 14

[0698] Example 14 illustrates a schematic diagram of a first operation according to another embodiment of this application; as shown in Figure 14. In Example 14, the first operation includes K1 sub-operations, where K1 is a positive integer not greater than 1. In Figure 14, the K1 sub-operations are respectively represented as sub-operation #0, ..., sub-operation #(K1-1).

[0699] As an example, each of the K1 sub-operations is based on training.

[0700] As an example, at least one of the K1 sub-operations is based on training.

[0701] As an example, each of the K1 training-based sub-operations is based on the same training executor.

[0702] As an example, two of the K1 sub-operations are based on different training executors.

[0703] As an example, at least one of the K1 sub-operations needs to be deployed.

[0704] As an example, at least one of the K1 sub-operations needs to be loaded.

[0705] As an example, all the sub-operations that need to be loaded in the K1 sub-operations are loaded from the same producer.

[0706] As an example, two of the K1 sub-operations that need to be loaded are loaded from different producers.

[0707] As an example, at least one of the K1 sub-operations is not based on training.

[0708] 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.

[0709] As an example, one or more of the K1 sub-operations are AI-based.

[0710] As an example, one or more of the K1 sub-operations include inference.

[0711] As an example, one or more of the K1 sub-operations include AI inference.

[0712] As an example, one or more of the K1 sub-operations include AI inference for CSI.

[0713] As an example, the AI ​​(Artificial Intelligence) includes ML (Machine Learning).

[0714] As an example, one or more of the K1 sub-operations include preprocessing.

[0715] As an example, one or more of the K1 sub-operations include post-processing.

[0716] As an example, among the K1 sub-operations, two sub-operations are sequential, such as all the sub-operations in Figure 14(a), sub-operations #2 to #(K1-1) in Figure 14(b), and sub-operations #0 to #(K1-4) in Figure 14(c).

[0717] 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.

[0718] As an example, among the K1 sub-operations, two sub-operations are parallel, such as sub-operation #0 and sub-operation #1 in Figure 14(b), and sub-operation #(K1-3) and sub-operation #(K1-2) in Figure 14(c).

[0719] 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.

[0720] As an example, the K1 sub-operations include one or more of convolution, pooling, cascading, or activation.

[0721] As an example, one of the K1 sub-operations includes a fully connected layer.

[0722] As an example, one of the K1 sub-operations includes a pooling layer.

[0723] As an example, one of the K1 sub-operations includes at least one convolutional layer.

[0724] As an example, one of the K1 sub-operations includes at least one coding layer.

[0725] As an example, two of the K1 sub-operations include a fully connected layer and at least one coding layer.

[0726] As an example, an encoding layer includes at least one convolutional layer and one pooling layer.

[0727] Example 15

[0728] Example 15 illustrates a schematic diagram of a first node deploying a first operation according to an embodiment of this application; as shown in Figure 15. In Example 15, the first processor deploys the first operation.

[0729] As one embodiment, the deployment includes obtaining the first operation.

[0730] As one example, the deployment includes obtaining an AI entity.

[0731] As one example, the deployment includes obtaining an AI entity that performs the first operation.

[0732] As one example, the deployment includes obtaining an AI entity that includes AI functions to perform the first operation.

[0733] As one embodiment, the deployment includes loading the first operation.

[0734] As one example, the deployment includes submitting a request to load the first operation.

[0735] As an example, the request in Figure 15 is a request from the first node to load the first operation.

[0736] As an example, the response in Figure 15 is a response to the request made by the first node to load the first operation.

[0737] As an example, the first node obtains the first operation through the response shown in Figure 15.

[0738] As an example, the first operation is obtained from the serving cell of the first node.

[0739] As an example, the first operation is obtained from the sustaining base station of the serving cell of the first node.

[0740] As an example, the first operation is obtained from the core network.

[0741] As an example, the first operation is obtained from loading from the first producer.

[0742] As an example, the first producer provides the first operation to the first node via the response shown in Figure 15.

[0743] As an example, the deployment is accomplished by an AI function.

[0744] As an example, the deployment is accomplished by AI functionality deployed on the first node.

[0745] As an example, the deployment is accomplished by an AI deployment function.

[0746] As an example, the deployment is accomplished by the AI ​​deployment function deployed on the first node.

[0747] As an example, the deployment is accomplished using AI inference functionality.

[0748] As an example, the deployment is accomplished by an AI inference function deployed on the first node.

[0749] As an example, the deployment is performed by an AI entity.

[0750] As an example, the deployment is performed by an AI entity deployed on the first node.

[0751] As an example, the deployment is performed by an AI entity with a deployment function.

[0752] As an example, the deployment is performed by an AI entity with deployment capabilities deployed on the first node.

[0753] As an example, the deployment is accomplished by an AI entity with an inference function.

[0754] As an example, the deployment is performed by an AI entity with inference capabilities deployed on the first node.

[0755] As one embodiment, the deployment includes obtaining the first operation from a first producer.

[0756] As one embodiment, the deployment includes requesting a first producer to load the first operation.

[0757] As one embodiment, the deployment includes loading the first operation from the first producer.

[0758] As an example, the first producer generates and provides AI entities.

[0759] As an example, the first producer generates and provides AI functionality.

[0760] As an example, the first producer is the producer of the first operation.

[0761] As one example, the first producer includes an AI entity producer.

[0762] As one example, the first producer includes an AI function producer.

[0763] As one example, the first producer includes an AI deployment producer.

[0764] As one example, the first producer includes an AI loading producer.

[0765] As one example, the first producer includes an AI-trained producer.

[0766] As an example, the first producer includes an AI inference producer.

[0767] As an example, the first producer includes the producer of the AI ​​entity deployment.

[0768] As one example, the first producer includes the producer that loads the AI ​​entity.

[0769] As an example, the first producer includes an MnS (Management Service) producer.

[0770] As an example, the sender of the first CSI reporting configuration is the first producer.

[0771] As an example, the sender of the first CSI reporting configuration is different from the first producer.

[0772] As an example, the training for obtaining the first operation is performed by the first producer.

[0773] As an example, the executor used to obtain the training for the first operation is different from the first producer.

[0774] As one example, the AI ​​includes ML (Machine Learning).

[0775] Example 16

[0776] 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.

[0777] As an example, a reference signal is received in each resource in the first resource set.

[0778] 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.

[0779] 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.

[0780] As an example, a reference signal is received at each transmission time of any resource in the first resource set.

[0781] As an example, the target CSI report is triggered by the first DCI signaling.

[0782] As one embodiment, the first DCI signaling includes a CSI request field, wherein the CSI request field in the first DCI signaling indicates the first resource set.

[0783] As one embodiment, the first DCI signaling is used to trigger the first resource set.

[0784] As one embodiment, the first DCI signaling used to trigger the first resource set includes: the first DCI signaling includes a CSI request field, the CSI request field in the first DCI signaling indicates a CSI trigger state, and the first resource set is associated with the one CSI trigger state.

[0785] Example 17

[0786] Example 17 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 17. Figure 17(a) includes a third processor, a fourth processor, and a fifth processor, and Figure 17(b) includes a third processor, a fourth processor, a fifth processor, and a sixth processor.

[0787] In Example 17(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 17(a), the first-type feedback is optional.

[0788] In Example 17(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 17(b), the first-type feedback and the second-type feedback are optional.

[0789] As an example, in Figure 17(a), the fifth processor sends the first type of output to the second node in this application.

[0790] As an example, in Figure 17(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.

[0791] As an example, the AI ​​includes machine learning (ML) inference.

[0792] As an example, the fifth processor performs the first operation.

[0793] 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.

[0794] 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.

[0795] 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.

[0796] As one embodiment, the fifth processor belongs to the first node, and the sixth processor belongs to the second node.

[0797] As an example, the second dataset includes the input of the first operation.

[0798] As an example, the second dataset includes information obtained based on the first configuration and the M1 configurations.

[0799] As an example, the first dataset includes training data.

[0800] As an example, the fourth processor belongs to the producer of the first operation.

[0801] As one embodiment, the fourth processor includes an AI training producer.

[0802] As one embodiment, the fourth processor includes an AI training function.

[0803] 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.

[0804] As an example, the fourth processor belongs to the first node.

[0805] The above embodiments avoid passing the first dataset to the second node.

[0806] As one example, the fourth processor belongs to the second node.

[0807] The above embodiments support joint training and optimize system performance.

[0808] As an example, the fourth processor belongs to the core network.

[0809] The above embodiments support network-wide joint training, further optimizing system performance.

[0810] As an example, the second dataset includes inference data.

[0811] As one embodiment, the fifth processor includes an AI inference producer.

[0812] As one embodiment, the fifth processor includes an AI inference function.

[0813] As an example, the fifth processor belongs to the first node.

[0814] 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.

[0815] As an example, the first operation is described by the target first type of parameter group.

[0816] As an example, the target first type of parameter group is used to construct the first operation.

[0817] 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.

[0818] 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.

[0819] 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.

[0820] 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.

[0821] 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.

[0822] Example 18

[0823] Example 18 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of this application; as shown in Figure 18. Figure 18 includes a third operation, a fourth operation, a fifth operation, a sixth operation, and a seventh operation. In Example 18, 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 18, lines with arrows indicate the sequence of processes.

[0824] 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.

[0825] 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.

[0826] As an example, the first stage includes AI model training.

[0827] As an example, the first stage includes AI model training and AI testing.

[0828] As an example, the AI ​​includes machine learning (ML) inference.

[0829] As an example, the AI ​​model training includes initial training and re-training of one or a group of AI entities.

[0830] As an example, the training of the AI ​​model depends on training data.

[0831] As an example, the AI ​​model training includes AI entity validation.

[0832] As an example, the AI ​​entity verification is used to evaluate the performance of the AI ​​entity.

[0833] As an example, the AI ​​entity verification relies on verification data.

[0834] As an example, if the AI ​​entity verification results do not meet expectations, the AI ​​model will be retrained.

[0835] As an example, the AI ​​testing includes testing the validated AI entity to estimate the performance of the trained AI model.

[0836] 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.

[0837] As an example, the AI ​​test relies on test data.

[0838] As an example, the second stage includes AI simulation, which performs inference of AI entities in a simulation environment.

[0839] As an example, the AI ​​simulation estimates the performance of AI entity inference in a simulation environment before using the AI ​​entity.

[0840] As one embodiment, the second stage is optional.

[0841] As an example, the third stage includes AI entity loading, which is to obtain trained AI entities to obtain the desired AI inference capabilities.

[0842] As an example, the third stage is optional.

[0843] As an example, the third stage is no longer needed when the training and inference functions are co-located.

[0844] As an example, the fourth stage includes AI inference.

[0845] As an example, the seventh operation includes the first operation.

[0846] Example 19

[0847] Example 19 illustrates a structural block diagram of a processing apparatus for a first node according to an embodiment of the present application; as shown in Figure 19. In Figure 19, the processing apparatus 1900 in the first node includes a first receiver 1901 and a first processor 1902.

[0848] As one example, the first node is a user equipment.

[0849] As an example, the first node is a relay node device.

[0850] As an example, the first receiver 1901 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}.

[0851] As an example, the first processor 1902 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}.

[0852] The first receiver 1901 receives the first CSI reporting configuration; the first CSI reporting configuration indicates a first resource set, which consists of one or more periodic or semi-persistent RS resources;

[0853] A first processor 1902 performs a first operation, the input of which depends on measurements based on the first resource set; and sends a first signal carrying a target CSI report, the target CSI report depending on the output of the first operation.

[0854] In Example 19, the target CSI reports channel information including N time units, where N is a positive integer; N depends on the number of RS resources in the first resource set that are no later than the transmission timing of the reference resource, which is no later than the first signal in the time domain.

[0855] As an example, the first receiver 1901 receives signals in the first resource set.

[0856] As one embodiment, the first receiver 1901 receives a reference signal in the first resource set, which includes one or more RS resources.

[0857] As an example, N depends on whether the number of transmission opportunities for each RS resource in the first resource set that are no later than the reference resource is not less than M2, where M2 is a positive integer.

[0858] As an example, when the number of transmission opportunities of an RS resource in the first resource set that are no later than the reference resource is less than M2, N is equal to 1 or N is less than M1; M2 is a positive integer and M1 is a positive integer greater than 1; when the number of transmission opportunities of each RS resource in the first resource set that are no later than the reference resource is equal to or greater than M2, N is equal to M1.

[0859] As an example, N depends on the number of RS resources in the first resource set that satisfy a first condition, the first condition including the number of transmission times no later than the reference resource being equal to or greater than M2, where M2 is a positive integer.

[0860] As an example, N is one of S candidate positive integers, S is a positive integer greater than 1, the S candidate positive integers and the S integer sets are respectively one-to-one, and any integer set in the S integer sets consists of at least one non-negative integer; the quantity of RS resources in the first resource set that satisfy the first condition belongs to the target integer set in the S integer sets, the target integer set is one of the S integer sets, and N is equal to a candidate positive integer in the S candidate positive integers that corresponds to the target integer set.

[0861] As an example, whether N is equal to the number of transmission times of M1 that depend on RS resources in the first resource set no later than the reference resource, the first CSI reporting configuration indicates M1.

[0862] As an example, the first operation is based on training or AI.

[0863] As an example, the first operation requires deployment.

[0864] As an example, the first operation is obtained by loading.

[0865] As an example, the channel information of one of the N time units 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 one embodiment, the first receiver receives the signal in the second resource set.

[0867] As one embodiment, the first receiver receives a reference signal in the second resource set, which includes one or more RS resources.

[0868] As an example, the first receiver does not receive signals in the second resource set.

[0869] As an example, the first receiver does not receive a reference signal in the second resource set.

[0870] As an example, the first CSI reports a configuration indication first identifier, and the first operation is associated with the first identifier.

[0871] As an example, the first processor 1902 deploys the first operation.

[0872] As one embodiment, it includes:

[0873] The first receiver 1901 receives a reference signal in the first resource set.

[0874] Example 20

[0875] Example 20 illustrates a structural block diagram of a processing apparatus in a second node according to an embodiment of the present application; as shown in Figure 20. In Figure 20, the processing apparatus 2000 in the second node includes a second processor 2001.

[0876] In one embodiment, the second node is a base station device.

[0877] In one embodiment, the second node is a user equipment.

[0878] As one embodiment, the second node is a relay node device.

[0879] As one embodiment, the second processor 2001 includes at least one of the following in embodiment 4: {antenna 420, receiver / transmitter 418, receiving processor 470, transmitting processor 416, multi-antenna receiving processor 472, multi-antenna transmitting processor 471, controller / processor 475, memory 476}.

[0880] The second processor 2001 sends a first CSI reporting configuration; the first CSI reporting configuration indicates a first resource set, the first resource set consisting of one or more periodic or semi-persistent RS resources; and receives a first signal, the first signal carrying a target CSI report.

[0881] In Example 20, the target receiver configured for the first CSI reporting performs a first operation, the input of which depends on measurements based on the first resource set; the target CSI reporting depends on the output of the first operation; the target CSI reporting includes channel information comprising N time units, where N is a positive integer; the N depends on the number of RS resources in the first resource set that are no later than the transmission timing of a reference resource, which is no later than the first signal in the time domain.

[0882] As one embodiment, the second processor 2001 sends a signal in the first resource set.

[0883] As one embodiment, the second processor 2001 sends a reference signal in the first resource set, which includes one or more RS resources.

[0884] As an example, N depends on whether the number of transmission opportunities for each RS resource in the first resource set that are no later than the reference resource is not less than M2, where M2 is a positive integer.

[0885] As an example, when the number of transmission opportunities of an RS resource in the first resource set that are no later than the reference resource is less than M2, N is equal to 1 or N is less than M1; M2 is a positive integer and M1 is a positive integer greater than 1; when the number of transmission opportunities of each RS resource in the first resource set that are no later than the reference resource is equal to or greater than M2, N is equal to M1.

[0886] As an example, N depends on the number of RS resources in the first resource set that satisfy a first condition, the first condition including the number of transmission times no later than the reference resource being equal to or greater than M2, where M2 is a positive integer.

[0887] As an example, N is one of S candidate positive integers, S is a positive integer greater than 1, the S candidate positive integers and the S integer sets are respectively one-to-one, and any integer set in the S integer sets consists of at least one non-negative integer; the quantity of RS resources in the first resource set that satisfy the first condition belongs to the target integer set in the S integer sets, the target integer set is one of the S integer sets, and N is equal to a candidate positive integer in the S candidate positive integers that corresponds to the target integer set.

[0888] As an example, whether N is equal to the number of transmission times of M1 that depend on RS resources in the first resource set no later than the reference resource, the first CSI reporting configuration indicates M1.

[0889] As an example, the first operation is based on training or AI.

[0890] As an example, the first operation requires deployment.

[0891] As an example, the first operation is obtained by loading.

[0892] As an example, the channel information of one of the N time units 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.

[0893] As one embodiment, the second processor 2001 sends a signal in the second resource set.

[0894] As one embodiment, the second processor 2001 sends a reference signal in the second resource set, which includes one or more RS resources.

[0895] As an example, the second processor 2001 does not send signals in the second resource set.

[0896] As an example, the second processor 2001 does not send reference signals in the second resource set.

[0897] As an example, the first CSI reports a configuration indication first identifier, and the first operation is associated with the first identifier.

[0898] As one embodiment, it includes:

[0899] The second processor 2001 sends a reference signal in the first resource set.

[0900] 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.

[0901] Those skilled in the art will understand that the present invention can be practiced in other specified forms without departing from its core or essential characteristics. Therefore, the embodiments disclosed herein should in any way be considered descriptive rather than restrictive. The scope of the invention is defined by the appended claims rather than the foregoing description, and all modifications within their equivalent meaning and scope are considered to be included therein.

Claims

1. A first node used for wireless communication, characterized in that, include: A first receiver receives a first CSI reporting configuration; the first CSI reporting configuration indicates a first resource set, which consists of one or more periodic or semi-persistent RS resources; A first processor executes a first operation, the input of which depends on measurements based on the first resource set; and sends a first signal carrying a target CSI report, the target CSI report depending on the output of the first operation. The target CSI report includes channel information for N time units, where N is a positive integer; N depends on the number of RS resources in the first resource set that are no later than the transmission timing of the reference resource, and the reference resource is no later than the first signal in the time domain.

2. The first node according to claim 1, characterized in that, The number of transmission opportunities for each RS resource in the first resource set that are no later than the reference resource, depending on whether N is not less than M2, where M2 is a positive integer.

3. The first node according to claim 1 or 2, characterized in that, When the number of transmission opportunities no later than the reference resource for one RS resource in the first resource set is less than M2, N is equal to 1 or N is less than M1; M2 is a positive integer and M1 is a positive integer greater than 1; when the number of transmission opportunities no later than the reference resource for each RS resource in the first resource set is equal to or greater than M2, N is equal to M1.

4. The first node according to claim 1, characterized in that, The N depends on the number of RS resources in the first resource set that satisfy a first condition, the first condition including the number of transmission times no later than the reference resource being equal to or greater than M2, where M2 is a positive integer.

5. The first node according to claim 4, characterized in that, N is one of S candidate positive integers, where S is a positive integer greater than 1. The S candidate positive integers and the S integer sets are in one-to-one correspondence. Each of the S integer sets consists of at least one non-negative integer. The quantity of RS resources in the first resource set that satisfy the first condition belongs to the target integer set in the S integer sets. The target integer set is one of the S integer sets. N is equal to a candidate positive integer in the S candidate positive integers that corresponds to the target integer set.

6. The first node according to any one of claims 1 to 5, characterized in that, Whether N is equal to the number of transmission times of M1 that depend on RS resources in the first resource set no later than the reference resource, the first CSI reporting configuration indicates M1.

7. The first node according to any one of claims 1 to 6, characterized in that, The first operation is based on training or AI.

8. A second node used for wireless communication, characterized in that, include: The second processor sends a first CSI reporting configuration; the first CSI reporting configuration indicates a first resource set, the first resource set consisting of one or more periodic or semi-persistent RS resources; and receives a first signal carrying a target CSI report. In this configuration, the target receiver configured for the first CSI reporting performs a first operation, the input of which depends on measurements based on the first resource set; the target CSI reporting depends on the output of the first operation; the target CSI reporting includes channel information comprising N time units, where N is a positive integer; and N depends on the number of RS resources in the first resource set that are transmitted no later than a reference resource, wherein the reference resource is no later than the first signal in the time domain.

9. A method used in a first node of wireless communication, characterized in that, include: Receive the first CSI reporting configuration; the first CSI reporting configuration indicates a first resource set, which consists of one or more periodic or semi-persistent RS resources; Perform a first operation, the input of which depends on a measurement of the first resource set; send a first signal carrying a target CSI report, the target CSI report depending on the output of the first operation; The target CSI report includes channel information for N time units, where N is a positive integer; N depends on the number of RS resources in the first resource set that are no later than the transmission timing of the reference resource, and the reference resource is no later than the first signal in the time domain.

10. A method used in a second node for wireless communication, characterized in that, include: Send a first CSI reporting configuration; the first CSI reporting configuration indicates a first resource set, the first resource set consisting of one or more periodic or semi-persistent RS resources; receive a first signal, the first signal carrying the target CSI report; In this configuration, the target receiver configured for the first CSI reporting performs a first operation, the input of which depends on measurements based on the first resource set; the target CSI reporting depends on the output of the first operation; the target CSI reporting includes channel information comprising N time units, where N is a positive integer; and N depends on the number of RS resources in the first resource set that are transmitted no later than a reference resource, wherein the reference resource is no later than the first signal in the time domain.

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