Information reporting method used for wireless communication node, and apparatus

Abstract

An information reporting method used for a wireless communication node, and an apparatus. The method comprises: a first node receiving on a first physical channel a first information block, the first information block indicating reporting of target channel information on a second physical channel; and only when a first condition is met, sending on the second physical channel the target channel information. The first condition comprises that a first symbol is not earlier than a first reference symbol, the second physical channel comprises the first symbol in the time domain, and the first reference symbol depends on a symbol occupied by the first physical channel. The first condition depends on whether the generation mode of the target channel information is based on AI.

Description

A method and apparatus for information reporting in nodes used in wireless communication Technical Field

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

[0002] In traditional wireless communication, the UE (User Equipment) obtains channel information by measuring downlink reference signals. This channel information includes, but is not limited to, one or more of the following: CRI (CSI-RS Resource Indicator), RI (Rank Indicator), PMI (Precoding Matrix Indicator), or CQI (Channel Quality Indicator).

[0003] With the adoption of new technologies, the increase in the number of antennas, the diversification of application scenarios, and the increasing demands on system performance, traditional measurement and reporting methods incur significant redundant overhead. Therefore, in NR R (release) 18, research on AI (Artificial Intelligence) / ML (Machine Learning) technologies was initiated to explore their impact on system performance and system design. Compared to traditional processing methods, AI / ML offers advantages such as training-based operation and deployment requirements. Summary of the Invention

[0004] The applicant discovered through research that when AI / ML functionality is introduced, existing channel information-related measurement mechanisms, reporting mechanisms, and related configuration signaling may not be able to meet the needs of AI / ML. To address these issues, this application discloses a solution. It should be noted that while many embodiments of this application are specifically for AI / ML, this application is also applicable to other solutions, such as traditional channel information reporting schemes. Furthermore, adopting a unified solution for different scenarios (including but not limited to AI / ML-based schemes and traditional information reporting schemes) helps reduce hardware complexity and cost. Where there is no conflict, the embodiments and features in the embodiments of the first node of this application can be applied to the second node, and vice versa. Where there is no conflict, the embodiments and features in the embodiments of this application can be arbitrarily combined with each other.

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

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

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

[0008] A first information block is received on a first physical channel; the first information block indicates the reporting of target channel information on a second physical channel.

[0009] The target channel information is transmitted on the second physical channel only when the first condition is met;

[0010] The first condition includes that the first symbol is not earlier than the first reference symbol, the second physical channel includes the first symbol in the time domain, and the first reference symbol depends on the symbols occupied by the first physical channel; the first condition depends on whether the generation method of the target channel information is based on AI.

[0011] As an example, the problem this application aims to solve includes: the reporting of channel information needs to meet certain conditions.

[0012] As an example, in the above method, the conditions that need to be met for the reporting of channel information are related to whether the channel information is generated based on AI. The advantages of using this method include: better adaptability to various application scenarios or terminals, and good flexibility and adaptability.

[0013] According to one aspect of this application, the first node is a user equipment.

[0014] According to one aspect of this application, the first node is a relay node.

[0015] According to one aspect of this application, the first condition includes at least one sub-condition, the number of which depends on whether the target channel information is generated in an AI-based manner.

[0016] As an example, the advantages of the above method include better adaptability to various application scenarios and terminals, and improved flexibility and adaptability.

[0017] According to one aspect of this application, the first condition includes at least one sub-condition, the first sub-condition including that the first symbol is not earlier than the first reference symbol, the first sub-condition being a sub-condition of the first condition; the second sub-condition including that the second symbol is not earlier than the second reference symbol, the second physical channel including the second symbol in the time domain, the second reference symbol depending on the symbol occupied by the first RS in the first resource set; whether the first condition includes the second sub-condition depends on whether the generation method of the target channel information is based on AI.

[0018] As an example, the advantages of the above method include better adaptability to various application scenarios and terminals, and improved flexibility and adaptability.

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

[0020] According to one aspect of this application, the first condition includes a first sub-condition and a second sub-condition, the first sub-condition including that the first symbol is not earlier than the first reference symbol; the second sub-condition including that the second symbol is not earlier than the second reference symbol; the second physical channel includes the second symbol in the time domain, the second reference symbol depending on the symbol occupied by the first RS in the first resource set; at least one of the second symbol or the second reference symbol depends on whether the generation method of the target channel information is based on AI.

[0021] As an example, the advantages of the above method include simplified design, better adaptability to various application scenarios, and good flexibility.

[0022] According to one aspect of this application, the second reference symbol depends on the symbol occupied by the first RS in the first resource set, wherein the first RS is which RS in the first resource set depends on whether the generation method of the target channel information is based on AI.

[0023] As an example, the advantages of the above method include simplified design, better adaptability to various application scenarios, and good flexibility.

[0024] According to one aspect of this application, it is characterized by comprising:

[0025] Receive the first configuration information block;

[0026] Wherein, the first configuration information block indicates a first resource set, the first resource set including one or more RS resources; the first resource set is used for the measurement of the target channel information.

[0027] According to one aspect of this application, the generation of the target channel information is based on AI and includes: the target channel information indicating at least one resource in a second resource set, the second resource set including resources not belonging to a first resource set; the first resource set being used for measuring the target channel information, the first resource set including one or more RS resources.

[0028] As an example, the advantages of the above method include: the AI-based generation method can reduce the overhead required to obtain channel information.

[0029] As an example, the advantages of the above method include: the AI-based generation method can reduce the measurement resources required to obtain channel information.

[0030] According to one aspect of this application, the generation method of the target channel information is based on AI, including: the generation method of the target channel information is associated with a first type of identifier.

[0031] According to one aspect of this application, the target channel information is generated in an AI-based manner, comprising: the target channel information comprising N information blocks, wherein each of the N information blocks comprises channel information for N time units, and N is a positive integer greater than 1.

[0032] According to one aspect of this application, the target channel information is generated in an AI-based manner, comprising: the target channel information being generated by the first node performing a first operation, the input of the first operation depending on a measurement of a first resource set, the first resource set including one or more RS resources, and the target channel information depending on the output of the first operation.

[0033] According to one aspect of this application, the first operation is characterized in that it is based on training or AI.

[0034] As an example, the AI ​​(Artificial Intelligence) includes ML (Machine Learning).

[0035] As one example, the AI ​​includes ML (Machine Learning).

[0036] According to one aspect of this application, the output of the first operation includes a first CSI, the target channel information carries the first CSI, and the first CSI is used as input to the second operation by the target receiver of the target channel information to generate a second CSI.

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

[0042] A first information block is transmitted on a first physical channel; the first information block indicates the reporting of target channel information on a second physical channel.

[0043] Specifically, the target receiver of the first information block transmits the target channel information on the second physical channel only when the first condition is met; the first condition includes that the first symbol is not earlier than the first reference symbol, the second physical channel includes the first symbol in the time domain, and the first reference symbol depends on the symbols occupied by the first physical channel; the first condition depends on whether the generation method of the target channel information is based on AI.

[0044] According to one aspect of this application, the second node is a base station.

[0045] According to one aspect of this application, the second node is a user equipment.

[0046] According to one aspect of this application, the second node is a relay node.

[0047] According to one aspect of this application, the second node's decision on whether to receive the target channel information on the second physical channel is determined by the second node itself or is implementation-related.

[0048] or,

[0049] This includes receiving the target channel information on the second physical channel only when the first condition is met.

[0050] According to one aspect of this application, the first condition includes at least one sub-condition, the number of which depends on whether the target channel information is generated in an AI-based manner.

[0051] According to one aspect of this application, the first condition includes at least one sub-condition, the first sub-condition including that the first symbol is not earlier than the first reference symbol, the first sub-condition being a sub-condition of the first condition; the second sub-condition including that the second symbol is not earlier than the second reference symbol, the second physical channel including the second symbol in the time domain, the second reference symbol depending on the symbol occupied by the first RS in the first resource set; whether the first condition includes the second sub-condition depends on whether the generation method of the target channel information is based on AI.

[0052] According to one aspect of this application, the first condition includes a first sub-condition and a second sub-condition, the first sub-condition including that the first symbol is not earlier than the first reference symbol; the second sub-condition including that the second symbol is not earlier than the second reference symbol; the second physical channel includes the second symbol in the time domain, the second reference symbol depending on the symbol occupied by the first RS in the first resource set; at least one of the second symbol or the second reference symbol depends on whether the generation method of the target channel information is based on AI.

[0053] According to one aspect of this application, the second reference symbol depends on the symbol occupied by the first RS in the first resource set, wherein the first RS is which RS in the first resource set depends on whether the generation method of the target channel information is based on AI.

[0054] According to one aspect of this application, it is characterized by comprising:

[0055] Send the first configuration information block;

[0056] Wherein, the first configuration information block indicates a first resource set, the first resource set including one or more RS resources; the first resource set is used for the measurement of the target channel information.

[0057] According to one aspect of this application, the generation of the target channel information is based on AI and includes: the target channel information indicating at least one resource in a second resource set, the second resource set including resources not belonging to a first resource set; the first resource set being used for measuring the target channel information, the first resource set including one or more RS resources.

[0058] According to one aspect of this application, the generation method of the target channel information is based on AI, including: the generation method of the target channel information is associated with a first type of identifier.

[0059] According to one aspect of this application, the target channel information is generated in an AI-based manner, comprising: the target channel information comprising N information blocks, wherein each of the N information blocks comprises channel information for N time units, and N is a positive integer greater than 1.

[0060] According to one aspect of this application, the generation of the target channel information is based on AI and includes: the generation of the target channel information includes the target receiver of the first information block performing a first operation, the input of the first operation depending on a measurement based on a first resource set, the first resource set including one or more RS resources, and the target channel information depending on the output of the first operation.

[0061] According to one aspect of this application, it is characterized by comprising:

[0062] Perform the second operation;

[0063] The output of the first operation includes a first CSI, the target channel information carries the first CSI, and the first CSI is used as the input of the second operation to generate a second CSI.

[0064] According to one aspect of this application, it is characterized by comprising:

[0065] Deploy the second operation.

[0066] As an example, the advantages of the above method include that it provides sufficient freedom for the second node, adapting to various different scenarios and terminals, and possessing adaptability and flexibility.

[0067] As an example, the advantages of the above method include: training for the second operation can be performed outside the second node, reducing the processing power requirements and power consumption of the second node.

[0068] As one example, the second operation is based on training or AI.

[0069] As an example, the second operation is obtained by loading.

[0070] This application discloses a first node used for wireless communication, characterized in that it comprises:

[0071] A first receiver receives a first information block on a first physical channel; the first information block indicates the reporting of target channel information on a second physical channel.

[0072] The first processor transmits the target channel information on the second physical channel only when the first condition is met;

[0073] The first condition includes that the first symbol is not earlier than the first reference symbol, the second physical channel includes the first symbol in the time domain, and the first reference symbol depends on the symbols occupied by the first physical channel; the first condition depends on whether the generation method of the target channel information is based on AI.

[0074] This application discloses a second node used for wireless communication, characterized in that it comprises:

[0075] The second processor transmits a first information block on the first physical channel; the first information block indicates the reporting of target channel information on the second physical channel.

[0076] Specifically, the target receiver of the first information block transmits the target channel information on the second physical channel only when the first condition is met; the first condition includes that the first symbol is not earlier than the first reference symbol, the second physical channel includes the first symbol in the time domain, and the first reference symbol depends on the symbols occupied by the first physical channel; the first condition depends on whether the generation method of the target channel information is based on AI.

[0077] As an example, compared with conventional solutions, this application has the following advantages:

[0078] This ensures consistency in the understanding of channel information transmitted by both the transmitting and receiving ends;

[0079] It better adapts to various application scenarios, improving flexibility and adaptability;

[0080] It is better adapted to various different terminals and has good flexibility;

[0081] Higher accuracy and real-time performance of channel information, resulting in enhanced overall system performance;

[0082] Lower air interface overhead;

[0083] More flexible and diverse channel generation methods;

[0084] Better flexibility and adaptability;

[0085] Enhanced reliability and robustness. Attached Figure Description

[0086] 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:

[0087] Figure 1 shows a flowchart of a first information block and target channel information according to an embodiment of this application;

[0088] Figure 2 shows a schematic diagram of a network architecture according to an embodiment of this application;

[0089] 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;

[0090] Figure 4 shows a schematic diagram of a first communication device and a second communication device according to an embodiment of this application;

[0091] Figure 5 illustrates the transmission between a first node and a second node according to an embodiment of this application;

[0092] Figures 6A-6B respectively illustrate AI-based schematic diagrams of a method for generating target channel information according to an embodiment of this application;

[0093] Figure 7 shows a schematic diagram of target channel information and second CSI according to an embodiment of this application;

[0094] Figure 8 shows a schematic diagram of a first operation according to an embodiment of this application;

[0095] Figure 9 shows a schematic diagram of the deployment of a first operation on a first node according to an embodiment of this application;

[0096] Figure 10 shows a schematic diagram of a first identifier according to an embodiment of this application;

[0097] Figures 11A-11B respectively illustrate an AI-based method for generating target channel information according to an embodiment of this application;

[0098] Figure 12 illustrates whether the generation method of a first condition-dependent target channel information according to an embodiment of this application is based on AI;

[0099] Figure 13 illustrates whether the generation method of the first condition-dependent target channel information according to another embodiment of this application is based on AI;

[0100] Figure 14 illustrates whether the generation method of the first condition-dependent target channel information according to another embodiment of this application is based on AI;

[0101] Figure 15 illustrates whether the generation method of the second reference symbol-dependent target channel information according to an embodiment of this application is based on AI;

[0102] Figure 16 shows a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of this application;

[0103] Figure 17 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of this application;

[0104] Figure 18 shows a structural block diagram of a processing apparatus for a first node according to an embodiment of the present application;

[0105] Figure 19 shows a structural block diagram of a processing apparatus for a second node according to an embodiment of this application;

[0106] Figure 20 shows a schematic diagram of the first CSI and target channel information according to an embodiment of this application. Detailed Implementation

[0107] 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.

[0108] Example 1

[0109] Example 1 illustrates a flowchart of a first information block and target channel information according to an embodiment of this application, as shown in Figure 1. In Figure 1, each block represents a step. In particular, the order of the steps in the blocks does not represent a specific temporal relationship between the steps.

[0110] In Embodiment 1, the first node receives a first information block on a first physical channel in step 101; and transmits target channel information on a second physical channel only when a first condition is met in step 102. The first information block indicates the reporting of the target channel information on the second physical channel. The first condition includes a first symbol not earlier than a first reference symbol, the second physical channel including the first symbol in the time domain, and the first reference symbol depending on the symbols occupied by the first physical channel. The first condition depends on whether the generation method of the target channel information is based on AI.

[0111] As one embodiment, the first physical channel includes a plurality of REs (Resource Elements).

[0112] As an example, the first physical channel occupies at least one symbol in the time domain and at least one subcarrier in the time domain.

[0113] As an example, the first physical channel occupies at least one symbol in the time domain and at least one RB (resource block) in the time domain.

[0114] As an example, the first physical channel is a downlink physical layer channel.

[0115] As an example, the first physical channel is used to transmit control information, and the first information block is control information.

[0116] As an example, the first physical channel is PDCCH (Physical downlink control channel), and the first information block is DCI (Downlink control information).

[0117] As an example, the first physical channel is PBCH (Physical broadcast channel), and the first information block is broadcast information.

[0118] As one embodiment, the first information block indicating the reporting of target channel information on the second physical channel includes: the first information block triggering the reporting of target channel information on the second physical channel.

[0119] As an example, the first physical channel is PDCCH, the first information block is DCI, and the second physical channel is PUSCH; the first information block indicates the reporting of target channel information on the second physical channel, including: the first information block triggers the reporting of target channel information on the second physical channel.

[0120] As an example, the first information block includes a first field, which includes at least one bit; the first field in the first information block triggers the reporting of target channel information on the second physical channel.

[0121] As an example, the first information block indicates the reporting of at least one channel information on the second physical channel, the at least one channel information including the target channel information.

[0122] As an example, the first information block indicates the reporting of only one channel information on the second physical channel, wherein the only channel information is the target channel information.

[0123] As an example, the first information block indicates the reporting of multiple channel information on the second physical channel, and the target channel information is one of the multiple channel information.

[0124] As an example, the first field is the CSI request field.

[0125] As one example, the second physical channel includes multiple REs.

[0126] Typically, an RE occupies one symbol in the time domain and one subcarrier in the frequency domain.

[0127] As an example, the second physical channel occupies at least one symbol in the time domain and at least one subcarrier in the time domain.

[0128] As an example, the second physical channel occupies at least one symbol in the time domain and at least one RB (resource block) in the time domain.

[0129] As an example, the second physical channel is an uplink physical layer channel.

[0130] As an example, the second physical channel is PUSCH (Physical uplink shared channel).

[0131] As an example, the second physical channel is PUCCH (Physical uplink control channel).

[0132] As one embodiment, the first information block indicates the time-frequency resources occupied by the second physical channel.

[0133] As one example, the first information block schedules the second physical channel.

[0134] As one embodiment, transmitting target channel information in the second physical channel includes transmitting a first signal in the second physical channel; wherein the first signal carries target channel information.

[0135] As one embodiment, the first signal includes a baseband signal.

[0136] As one embodiment, the first signal includes a wireless signal.

[0137] As one embodiment, the first signal includes a radio frequency signal.

[0138] As an example, the first signal is transmitted over an uplink physical channel.

[0139] As an example, the first signal is transmitted on PUSCH (Physical uplink shared channel).

[0140] As an example, the first signal is transmitted on PUCCH (Physical uplink control channel).

[0141] As an example, the information blocks in the target channel information are used to generate the first signal after being channel-coded.

[0142] As an example, the information blocks in the target channel information are used to generate the first signal after being channel-coded and modulated.

[0143] As an example, the information blocks in the target channel information are used to generate the first signal after bit sequence generation and channel coding.

[0144] As an example, the information blocks in the target channel information are used to generate the first signal after bit sequence generation, channel coding, and modulation.

[0145] As an example, the information blocks in the target channel information are multiplexed into the first signal after undergoing bit sequence generation, code block segmentation, CRC attachment, channel coding, rate matching, and code block concatenation.

[0146] As an example, the information blocks in the target channel information are multiplexed into the second physical channel after bit sequence generation, code block segmentation and CRC addition, channel coding, rate matching and code block concatenation.

[0147] As an example, no HARQ-ACK or transport block is multiplexed on the second physical channel.

[0148] As an example, a HARQ-ACK or transport block is multiplexed on the second physical channel.

[0149] As an example, the first node determines whether to transmit the target channel information on the second physical channel.

[0150] As an example, the target receiver of the first information block determines whether to transmit the target channel information on the second physical channel.

[0151] Typically, determining whether to transmit the target channel information on the second physical channel depends on whether the first condition is met.

[0152] As one embodiment, transmitting the target channel information on the second physical channel only when the first condition is met includes: ignoring the first information block when the first condition is not met.

[0153] As one embodiment, transmitting the target channel information on the second physical channel only when the first condition is met includes: abandoning the transmission of the target channel information on the second physical channel when the first condition is not met.

[0154] As one embodiment, transmitting the target channel information on the second physical channel only when the first condition is met includes: transmitting the target channel information on the second physical channel and the target channel information being valid when the first condition is met; and transmitting the target channel information on the second physical channel and the target channel information not being updated when the first condition is not met.

[0155] As an example, no HARQ-ACK or transport block is multiplexed on the second physical channel; the step of sending the target channel information on the second physical channel only when the first condition is met includes: ignoring the first information block when the first condition is not met.

[0156] As an example, no HARQ-ACK or transport block is multiplexed on the second physical channel; the step of transmitting the target channel information on the second physical channel only when the first condition is met includes: abandoning the transmission of signals on the second physical channel when the first condition is not met.

[0157] As an example, no HARQ-ACK or transport block is multiplexed on the second physical channel; the step of transmitting the target channel information on the second physical channel only when the first condition is met includes: when the first condition is not met, abandoning the transmission of the target channel information on the second physical channel.

[0158] As an example, a HARQ-ACK or transport block is multiplexed on the second physical channel; the step of sending the target channel information on the second physical channel only when the first condition is met includes: when the first condition is met, sending the target channel information on the second physical channel and the target channel information is valid; when the first condition is not met, sending the target channel information on the second physical channel and the target channel information is not updated.

[0159] As an example, a HARQ-ACK or transport block is multiplexed on the second physical channel; the step of transmitting the target channel information on the second physical channel only when the first condition is met includes: when the first condition is met, transmitting the target channel information on the second physical channel and the target channel information is valid; when the first condition is not met, transmitting a signal on the second physical channel, and the signal transmitted on the second physical channel does not carry the target channel information.

[0160] As an example, a HARQ-ACK or transport block is multiplexed on the second physical channel; the step of transmitting the target channel information on the second physical channel only when the first condition is met includes: when the first condition is met, transmitting the target channel information on the second physical channel and the target channel information is valid; when the first condition is not met, abandoning the transmission of signals on the second physical channel, or abandoning the transmission of the target channel information on the second physical channel.

[0161] As an example, determining whether to send the target channel information on the second physical channel includes: determining whether to send the target channel information on the second physical channel and whether the target channel information is valid.

[0162] As one embodiment, determining whether to send the target channel information on the second physical channel includes: sending the target channel information on the second physical channel, and determining whether the target channel information sent on the second physical channel is valid or updated.

[0163] As one embodiment, determining whether to send the target channel information on the second physical channel includes: determining whether to send the target channel information on the second physical channel or to ignore the first information block.

[0164] As one embodiment, determining whether to transmit the target channel information on the second physical channel includes: determining whether to transmit the target channel information on the second physical channel or to abandon transmitting the target channel information on the second physical channel.

[0165] Typically, the target channel information is transmitted on the second physical channel only if the first condition is met; wherein the target channel information transmitted on the second physical channel is valid.

[0166] As an example, the target channel information being valid includes: the target channel information being updated.

[0167] As an example, the target channel information is validly defined as follows: the target channel information is different from the channel information for the first configuration information block that was reported most recently before the first physical layer channel.

[0168] As an example, the target channel information is validly defined as follows: the target channel information may be different from the channel information reported most recently for the first configuration information block that is earlier than the first physical layer channel.

[0169] As an example, the target channel information is valid in that the target channel information is not necessarily the same as the channel information reported most recently for the first configuration information block that is earlier than the first physical layer channel.

[0170] As an example, the given channel information refers to the channel information for the first configuration information block, which means that the first configuration information block indicates a first resource set, the first resource set including one or more RS (reference signal) resources; the first resource set is used for the measurement of the given channel information.

[0171] As an example, the target channel information is validly defined by whether the target channel information differs from the most recent channel information for the first configuration information block that is earlier than the first physical layer channel, depending on the measurement of the most recent RS timing of the CSI reference resource in the first resource set that is no later than the target channel information.

[0172] As an example, the target channel information effectively includes: the target channel information is generated based on the measurement of the most recent RS timing of at least the CSI reference resources in the first resource set no later than the target channel information.

[0173] As an example, the target channel information is validly defined as follows: the target channel information is updated based on the measurement of the most recent RS timing of at least the CSI reference resources in the first resource set that are no later than the target channel information.

[0174] As one embodiment, the first resource set consists of one or more aperiodic RS resources; the target channel information is valid and includes: the target channel information is generated based on measurements of aperiodic RS resources in the first resource set that are triggered by the first information block.

[0175] As one embodiment, the first resource set consists of one or more aperiodic RS resources; the target channel information is valid including: the target channel information is updated based on measurements of aperiodic RS resources in the first resource set triggered by the first information block.

[0176] As an example, the step of sending the target channel information on the second physical channel and the target channel information not being updated includes: the first node is not expected to send the target channel information on the second physical channel and the target channel information is valid.

[0177] As an example, the step of transmitting the target channel information on the second physical channel and the target channel information not being updated includes: the first node is not expected to transmit the target channel information on the second physical channel and the target channel information is updated.

[0178] As one embodiment, the target channel information not being updated includes: the first node is not expected to update the target channel information.

[0179] As one embodiment, the statement that the target channel information is not updated includes: whether the target channel information is actually updated is determined by the first node itself or is implementation-related.

[0180] As an example, the target channel information not being updated includes: the target channel information being invalid.

[0181] As an example, the target channel information not being updated includes: the target channel information being the same as the channel information for the first configuration information block that was reported most recently before the first physical layer channel.

[0182] As an example, the fact that the target channel information is not updated includes: the target channel information must be the same as the channel information reported most recently for the first configuration information block that is earlier than the first physical layer channel.

[0183] As an example, the target channel information not being updated includes: the target channel information being independent of the measurement of the most recent RS timing of the CSI reference resource in the first resource set that is no later than the target channel information.

[0184] As an example, the fact that the target channel information is not updated includes: the target channel information is independent of the measurement of the most recent RS timing based on the CSI reference resources in the first resource set that are no later than the target channel information.

[0185] As an example, the target channel information not being updated includes: the target channel information not being updated based on the most recent RS timing measurement of at least the CSI reference resources in the first resource set that are no later than the target channel information.

[0186] As one embodiment, the first resource set consists of one or more aperiodic RS resources; the target channel information is not updated including: the target channel information is independent of the measurement based on the aperiodic RS resources in the first resource set triggered by the first information block.

[0187] As one embodiment, the first resource set consists of one or more aperiodic RS resources; the target channel information not being updated includes: the target channel information is not generated based on measurements of aperiodic RS resources in the first resource set triggered by the first information block.

[0188] As one embodiment, the first resource set consists of one or more aperiodic RS resources; the target channel information not being updated includes: the target channel information is not updated based on measurements of aperiodic RS resources in the first resource set triggered by the first information block.

[0189] As an example, the first condition includes at least one sub-condition; the first sub-condition includes the first symbol not being earlier than the first reference symbol, and the first sub-condition is a sub-condition of the first condition; the first condition is satisfied when all sub-conditions of the first condition are satisfied; the first condition is not satisfied when one sub-condition of the first condition is not satisfied.

[0190] As an example, the first condition includes at least one sub-condition; the first sub-condition includes the first symbol not being earlier than the first reference symbol, and the first sub-condition is a sub-condition of the first condition; when one sub-condition in the first condition is satisfied, the first condition is satisfied; when none of the sub-conditions in the first condition are satisfied, the first condition is not satisfied.

[0191] As an example, the first condition only includes the first symbol not being earlier than the first reference symbol.

[0192] As an example, the first condition includes at least the first symbol not being earlier than the first reference symbol.

[0193] As an example, the first symbol is the earliest symbol of the second physical channel.

[0194] As an example, the first symbol is the latest symbol of the second physical channel.

[0195] As an example, the first symbol is the first uplink symbol in the second physical channel for carrying at least one channel information, including the target channel information; the first reference symbol is the next uplink symbol after the end of the last symbol of the first physical channel, at which the CP begins.

[0196] As an example, the first information block indicates the reporting of at least one channel information on a second physical channel, the first symbol being the first uplink symbol in the second physical channel for carrying the at least one channel information, the at least one channel information including the target channel information; the first reference symbol being the next uplink symbol after the end of the last symbol of the first physical channel, at which the CP begins.

[0197] As an example, the first symbol is the first uplink symbol in the second physical channel used to carry the target channel information, and the first reference symbol is the next uplink symbol after the end of the first time interval following the last symbol of the first physical channel.

[0198] As an example, the first reference symbol is later than the latest symbol of the first physical channel.

[0199] As an example, the first reference symbol is the first uplink symbol after the last symbol of the first physical channel, within a first time interval.

[0200] Typically, the first symbol takes into account timing advance.

[0201] Typically, both the first symbol and the first reference symbol take into account timing advance.

[0202] As an example, the first reference symbol is Z. ref .

[0203] Typically, the next upline symbol refers to the earliest upline symbol in time.

[0204] Typically, the first uplink symbol refers to the earliest uplink symbol.

[0205] Typically, the last symbol refers to the latest symbol.

[0206] As an example, the first time interval is a real number.

[0207] As an example, the first time interval is a positive integer.

[0208] As an example, the unit of the first time interval is milliseconds (ms).

[0209] As an example, the unit of the first time interval is a symbol.

[0210] As an example, the symbol is a single-carrier symbol.

[0211] As an example, the symbol is a multi-carrier symbol.

[0212] As an example, the symbol is the 5G symbol.

[0213] As an example, the symbol is a 6G single-carrier symbol.

[0214] As an example, the symbol is a 6G multi-carrier symbol.

[0215] As an example, the multicarrier symbol is an OFDM (Orthogonal Frequency Division Multiplexing) symbol.

[0216] As an example, the symbols are obtained by passing the output of the transform precoding through OFDM symbol generation.

[0217] As an example, the multi-carrier symbol is an SC-FDMA (Single Carrier-Frequency Division Multiple Access) symbol.

[0218] As an example, the multicarrier symbol is a DFT-S-OFDM (Discrete Fourier Transform Spread OFDM) symbol.

[0219] As an example, the multi-carrier symbol is an FBMC (Filter Bank Multi Carrier) symbol.

[0220] As one embodiment, the multicarrier symbol includes CP (Cyclic Prefix).

[0221] As an example, when the target channel information is generated in an AI-based manner, the first condition depends on the first type of identifier associated with the target channel information generation method.

[0222] As an example, the generation method of the target channel information is associated with a first identifier, which is a first type identifier; the first condition depends on whether the generation method of the target channel information is based on AI only when the first identifier belongs to the first identifier set in the V identifier sets; the first identifier set is one of the V identifier sets, and any identifier set in the V identifier sets includes at least one first type identifier, where V is a positive integer greater than 1.

[0223] As one embodiment, the first identifier set is the sender of the first information block reported by the first node.

[0224] As an example, the first node indicates a first capability parameter, which is used to determine whether the generation method of the first condition-dependent target channel information is based on AI.

[0225] As an example, the first node indicates a first capability parameter, the value of which indicates whether the first condition depends on the generation method of the target channel information based on AI.

[0226] As an example, the first node indicates a first capability parameter, the value of which is a first candidate value used to indicate whether the first condition depends on the generation method of the target channel information based on AI.

[0227] As one embodiment, the first node indicates a first capability parameter, and the value of the first capability parameter indicates the first identifier set.

[0228] As one embodiment, the first node indicates a first capability parameter, and the value of the first capability parameter indicates the first identifier.

[0229] As one embodiment, the sender of the first information block indicates some or all of the identifiers in the V identifier sets.

[0230] As one embodiment, the sender of the first information block indicates the first identifier.

[0231] As an example, the sender of the first information block sends a first higher-level parameter, which is used to determine whether the generation method of the first condition-dependent target channel information is based on AI.

[0232] As an example, the sender of the first information block sends a first higher-level parameter, the value of which indicates whether the first condition depends on the generation method of the target channel information based on AI.

[0233] As an example, the sender of the first information block sends a first higher-level parameter, the value of which is a second candidate value used to indicate whether the generation method of the first condition-dependent target channel information is based on AI.

[0234] As one embodiment, the first condition depending on whether the generation method of the target channel information is based on AI includes: the first symbol depending on whether the generation method of the target channel information is based on AI.

[0235] As one embodiment, the first information block indicates the reporting of at least one channel information on the second physical channel, the at least one channel information including the target channel information; the first symbol depending on whether the generation method of the target channel information is based on AI includes: when the generation method of the target channel information is based on AI, the first symbol is the first uplink symbol in the second physical channel for carrying the target channel information; when the generation method of the target channel information is not based on AI, the first symbol is the first uplink symbol in the second physical channel for carrying the at least one channel information.

[0236] As one embodiment, the first symbol depending on whether the target channel information is generated based on AI includes: when the target channel information is generated based on AI, the first symbol is a first uplink symbol in the second physical channel; when the target channel information is not generated based on AI, the first symbol is a second uplink symbol in the second physical channel; the first uplink symbol is different from the second uplink symbol.

[0237] As one embodiment, the first information block indicates the reporting of at least one channel information on the second physical channel, the at least one channel information including the target channel information; the first symbol depending on whether the generation method of the target channel information is based on AI includes: when the generation method of the target channel information is based on AI, the first symbol is the first uplink symbol of the second physical channel; when the generation method of the target channel information is not based on AI, the first symbol is the first uplink symbol in the second physical channel used to carry the at least one channel information.

[0238] As one example, the method of generating the target channel information based on AI includes: the generation of the target channel information uses an AI model.

[0239] As an example, the method of generating the target channel information not based on AI includes: the generation of the target channel information does not use an AI model.

[0240] As one example, the generation method of the target channel information based on AI includes: the target channel information includes information based on artificial intelligence or machine learning.

[0241] As one example, the generation method of the target channel information based on AI includes: the target channel information includes information generated based on a neural network.

[0242] As an example, the generation method of the target channel information based on AI includes: the target channel information includes information generated based on CNN (Conventional Neural Networks).

[0243] As an example, the method of generating the target channel information is not based on AI, including: the target channel information does not include information based on artificial intelligence or machine learning.

[0244] As an example, the method of generating the target channel information is not based on AI, including: the target channel information does not include information generated based on a neural network.

[0245] As an example, the method of generating the target channel information is not based on AI, including: the target channel information does not include information generated based on CNN.

[0246] As one embodiment, the generation of the target channel information based on AI includes: the generation of the target channel information includes the first node or the target receiver of the first information block performing a first operation, the input of the first operation depending on the measurement based on the first resource set, and the target channel information depending on the output of the first operation; the generation of the target channel information not based on AI includes: the generation of the target channel information does not include the target receiver of the first information block performing the first operation.

[0247] As one embodiment, the first configuration information block indicates a first resource set, the first resource set including one or more RS resources; the first resource set is used for the measurement of the target channel information; the generation method of the target channel information based on AI includes: the first configuration information block indicating a first type of identifier; the generation method of the target channel information not based on AI includes: the first configuration information block not indicating a first type of identifier.

[0248] As one embodiment, the method of generating the target channel information based on AI includes: the method of generating the target channel information is associated with a first type of identifier; the method of generating the target channel information not based on AI includes: the generation of the target channel information is not associated with a first type of identifier.

[0249] As an example, the first operation performs spatial beam prediction for a second resource set based on measurements of the first resource set.

[0250] As an example, the first operation performs spatial beam prediction for a second resource set based on measurements of a first resource set, the second resource set including resources that do not belong to the first resource set.

[0251] As an example, the advantages of the above method include reduced RS overhead and reduced feedback latency.

[0252] As an example, the first operation performs channel information prediction for a second resource set based on measurements of the first resource set.

[0253] As an example, the channel information in this application includes beam information.

[0254] As an example, the first operation performs temporal beam prediction for the second resource set based on historical measurements of the first resource set.

[0255] As an example, the advantages of the above method include reducing beam feedback delay and improving the real-time performance of beam acquisition.

[0256] 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.

[0257] 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.

[0258] As an example, the input to the first operation also includes the second resource set.

[0259] As an example, the first type of identifier is a non-negative integer.

[0260] As an example, the first type of identifier is a string.

[0261] As an example, the first type of identifier is used to identify AI models.

[0262] As an example, the first type of identifier is used to identify AI entities.

[0263] As an example, the first type of identifier is used to identify AI functions.

[0264] As an example, the advantages of the above method include that identifying an AI entity or function through the first type of identifier simplifies the design and unifies the understanding of different AI entities or functions across multiple nodes.

[0265] As an example, the first type of identifier is a model identifier.

[0266] As an example, the first type of identifier is used to identify an AI model.

[0267] As an example, the first type of identifier is used by the first node to identify an AI model.

[0268] As an example, the first type of identifier is used by the first node to determine the AI ​​model adopted by the first operation.

[0269] As an example, the advantages of the above method include that identifying an AI model / entity / function through the first type of identifier simplifies the design and unifies the understanding of different AI entities / functions across multiple nodes.

[0270] As an example, the first type of identifier is used to identify or indicate a set of resources.

[0271] As one embodiment, the first type of identifier is used to identify or indicate a set of resources, and the measurement of the set of resources is used to obtain a training dataset.

[0272] As an example, the first type of identifier is used to identify or indicate a set of resources.

[0273] As an example, the first type of identifier is used to identify or indicate the training dataset.

[0274] As an example, the benefits of the above method include establishing consensus among different AI functions by identifying an AI training or AI training dataset to recognize the inferences generated by that AI training or AI training dataset, further simplifying the design.

[0275] Example 2

[0276] Example 2 illustrates a schematic diagram of a network architecture according to an embodiment of this application, as shown in Figure 2.

[0277] 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.

[0278] As an example, the first node includes the UE201.

[0279] As one embodiment, the second node includes the node 203.

[0280] As an example, the wireless link between the UE201 and the node203 includes a cellular link.

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

[0282] As an example, the recipient of the first information block includes the UE201.

[0283] As one embodiment, the first resource set includes one or more RS resources, and the sender of the reference signal in the first resource set includes the node 203.

[0284] As one embodiment, the first resource set includes one or more RS resources, and the receiver of the reference signal in the first resource set includes the UE201.

[0285] As one embodiment, the second resource set includes one or more RS resources, and the sender of the reference signal in the second resource set includes the node 203.

[0286] As one embodiment, the second resource set includes one or more RS resources, and the receiver of the reference signal in the second resource set includes the UE201.

[0287] As an example, the sender of the first configuration information block includes the node 203.

[0288] As an example, the recipient of the first configuration information block includes the UE201.

[0289] As an example, the sender of the first resource set includes the node 203.

[0290] As an example, the recipient of the first resource set includes the UE201.

[0291] As an example, the target recipient of the first information block includes the UE201.

[0292] As an example, the recipient of the target channel information includes the node 203.

[0293] Example 3

[0294] 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.

[0295] Example 3 illustrates a schematic diagram of an embodiment of a wireless protocol architecture for a user plane and control plane according to this application, as shown in Figure 3. Figure 3 is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300. Figure 3 shows the radio protocol architecture for the control plane 300 between a first communication node device (UE, gNB, or RSU in V2X) and a second communication node device (gNB, UE, or RSU in V2X), or between two UEs, using three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (physical layer) signal processing functions. Layer 1 will be referred to herein as PHY 301. Layer 2 (L2 layer) 305 is above PHY 301 and is responsible for the link between the first communication node device and the second communication node device, or between two UEs. Layer L2 305 includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, which terminate at the second communication node device. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. It also provides security through encrypted data packets and supports cross-cell mobility between the second communication node devices and the first communication node device. The RLC sublayer 303 provides upper-layer packet segmentation and reassembly, retransmission of lost packets, and packet reordering to compensate for out-of-order reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. It is also responsible for allocating various radio resources (e.g., resource blocks) within a cell among the first communication node devices. Furthermore, the MAC sublayer 302 handles HARQ operations. In the control plane 300, the Radio Resource Control (RRC) sublayer 306 of Layer 3 (L3) is responsible for acquiring radio resources (i.e., radio bearers) and configuring the lower layers using RRC signaling between the second and first communication node devices. The user plane 350's radio protocol architecture includes Layer 1 (L1) and Layer 2 (L2). The radio protocol architecture for the first and second communication node devices in the user plane 350 is largely the same as the corresponding layers and sublayers in the control plane 300 for Physical Layer 351, PDCP sublayer 354 in L2 Layer 355, RLC sublayer 353 in L2 Layer 355, and MAC sublayer 352 in L2 Layer 355. However, PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead.The L2 layer 355 in the user plane 350 also includes an SDAP (Service Data Adaptation Protocol) sublayer 356, which is responsible for mapping between QoS streams and data radio bearers (DRBs) to support service diversity. Although not illustrated, the first communication node device may have several upper layers above the L2 layer 355, including a network layer (e.g., IP layer) terminating at the P-GW on the network side and an application layer terminating at the other end of the connection (e.g., a remote UE, server, etc.).

[0296] As an example, the wireless protocol architecture in Figure 3 is applicable to the first node.

[0297] As an example, the wireless protocol architecture in Figure 3 is applicable to the second node.

[0298] As an example, the higher layer mentioned in this application refers to the layer above the physical layer.

[0299] As an example, the first configuration information block is generated in the RRC sublayer 306.

[0300] As an example, the first information block is generated in the PHY301 or the PHY351.

[0301] As an example, the reference signal in the first resource set is generated in the PHY301 or the PHY351.

[0302] As an example, the target channel information is generated in the MAC sublayer 302 or the MAC sublayer 352.

[0303] As an example, the target channel information is generated in the PHY301 or the PHY351.

[0304] Example 4

[0305] 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.

[0306] 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.

[0307] 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.

[0308] In the transmission from the first communication device 410 to the second communication device 450, at the first communication device 410, upper-layer data packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements L2 layer functionality. In DL (Downlink), the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation to the second communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for HARQ operation, retransmission of lost packets, and signaling to the second communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for L1 layer (i.e., physical layer). Transmit processor 416 performs encoding and interleaving to facilitate forward error correction (FEC) at the second communication device 450, and constellation mapping based on various modulation schemes (e.g., binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), M-phase shift keying (M-PSK), and M-quadrature amplitude modulation (M-QAM). Multi-antenna transmit processor 471 performs digital spatial precoding on the encoded and modulated symbols, including codebook-based precoding and non-codebook-based precoding, and beamforming processing, generating one or more parallel... The transmit processor 416 then maps each parallel stream to a subcarrier, multiplexes the modulated symbols with a reference signal (e.g., a pilot) in the time and / or frequency domains, and then uses an inverse fast Fourier transform (IFFT) to generate a physical channel carrying the time-domain multicarrier symbol stream. The multi-antenna transmit processor 471 then performs transmit analog precoding / beamforming operations on the time-domain multicarrier symbol stream. Each transmitter 418 converts the baseband multicarrier symbol stream provided by the multi-antenna transmit processor 471 into an RF stream, which is then provided to a different antenna 420.

[0309] In the transmission from the first communication device 410 to the second communication device 450, at the second communication device 450, each receiver 454 receives a signal through its corresponding antenna 452. Each receiver 454 recovers the information modulated onto the radio frequency carrier and converts the radio frequency stream into a baseband multicarrier symbol stream, which is then provided to the receiver processor 456. The receiver processor 456 and the multi-antenna receiver processor 458 implement various signal processing functions of the L1 layer. The multi-antenna receiver processor 458 performs receive analog precoding / beamforming operations on the baseband multicarrier symbol stream from the receiver 454. The receiver processor 456 uses a Fast Fourier Transform (FFT) to convert the baseband multicarrier symbol stream after the receive analog precoding / beamforming operations from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receiver processor 456, where the reference signal is used for channel estimation, and the data signal is recovered in the multi-antenna receiver processor 458 after multi-antenna detection to recover any parallel stream destined for the second communication device 450. Symbols on each parallel stream are demodulated and recovered in the receive processor 456, generating soft decisions. The receive processor 456 then decodes and deinterleaves the soft decisions to recover the upper-layer data and control signals transmitted over the physical channel by the first communication device 410. The upper-layer data and control signals are then provided to the controller / processor 459. The controller / processor 459 implements the functions of Layer 2 (L2). The controller / processor 459 may be associated with a memory 460 storing program code and data. The memory 460 may be referred to as computer-readable media. In the DL (Layered Logic), the controller / processor 459 provides multiplexing, packet reassembly, decryption, header decompression, and control signal processing between the transmission and logical channels to recover upper-layer packets from the core network. The upper-layer packets are then provided to all protocol layers above Layer 2. Various control signals may also be provided to Layer 3 (L3) for L3 processing. The controller / processor 459 is also responsible for error detection using ACK and / or NACK protocols to support HARQ operation.

[0310] 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.

[0311] 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.

[0312] 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 information block on a first physical channel; the first information block indicating the reporting of target channel information on a second physical channel; transmitting the target channel information on the second physical channel only when a first condition is met; wherein the first condition includes a first symbol not earlier than a first reference symbol, the second physical channel including the first symbol in the time domain, the first reference symbol depending on the symbols occupied by the first physical channel; the first condition depends on whether the generation method of the target channel information is based on AI.

[0313] 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 information block on a first physical channel; the first information block indicating the reporting of target channel information on a second physical channel; and transmitting the target channel information on the second physical channel only when a first condition is met; wherein the first condition includes a first symbol not earlier than a first reference symbol, the second physical channel including the first symbol in the time domain, the first reference symbol depending on the symbols occupied by the first physical channel; and the first condition depending on whether the generation method of the target channel information is based on AI.

[0314] 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 information block on a first physical channel; the first information block indicating the reporting of target channel information on a second physical channel; wherein, the target receiver of the first information block transmits the target channel information on the second physical channel only when a first condition is met; the first condition includes a first symbol not earlier than a first reference symbol, the second physical channel including the first symbol in the time domain, the first reference symbol depending on the symbols occupied by the first physical channel; the first condition depends on whether the generation method of the target channel information is based on AI.

[0315] As one embodiment, the first communication device 410 includes: a memory storing a computer-readable instruction program that, when executed by at least one processor, produces actions including: transmitting a first information block on a first physical channel; the first information block indicating the reporting of target channel information on a second physical channel; wherein, the target recipient of the first information block transmits the target channel information on the second physical channel only when a first condition is met; the first condition includes a first symbol not earlier than a first reference symbol, the second physical channel including the first symbol in the time domain, the first reference symbol depending on the symbols occupied by the first physical channel; the first condition depends on whether the generation method of the target channel information is based on AI.

[0316] As an example, the first node in this application includes the second communication device 450.

[0317] As an example, the second node in this application includes the first communication device 410.

[0318] As an example, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first information block on the first physical channel in this application; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to transmit the first information block on the first physical channel in this application.

[0319] As an example, at least one of {the antenna 452, the receiver 454, the receiving processor 456, the multi-antenna receiving processor 458, the controller / processor 459, the memory 460, and the data source 467} is used to receive the first configuration information block; at least one of {the antenna 420, the transmitter 418, the transmitting processor 416, the multi-antenna transmitting processor 471, the controller / processor 475, and the memory 476} is used to transmit the first configuration information block.

[0320] 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.

[0321] As one embodiment, 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 target channel information in the second physical channel of this application; 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 target channel information in the second physical channel of this application.

[0322] Example 5

[0323] Example 5 illustrates a transmission flowchart according to one 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 F50 to F56 are optional.

[0324] For the second node U1, the second operation is deployed in step S5100; the first configuration information block is sent in step S5101; the first information block is sent on the first physical channel in step S5101; a signal is sent in the first resource set in step S5102; target channel information is received in the second physical channel in step S512; and the second operation is executed in step S5103.

[0325] For the first node U2, in step S5200, a first operation is deployed; in step S5201, a first configuration information block is received; in step S521, a first information block is received on the first physical channel; in step S5202, a signal is received in the first resource set; in step S522, the first operation is executed; and in step S523, target channel information is sent on the second physical channel.

[0326] In Embodiment 5, the first information block indicates the reporting of target channel information on the second physical channel; the first node U2 transmits the target channel information on the second physical channel only when a first condition is met; the first condition includes a first symbol not earlier than a first reference symbol, the second physical channel including the first symbol in the time domain, and the first reference symbol depending on the symbols occupied by the first physical channel; the first condition depends on whether the generation method of the target channel information is based on AI. The first configuration information block indicates a first resource set, the first resource set including one or more RS resources; the first resource set is used for the measurement of the target channel information.

[0327] As an example, the step in block F56 occurs only when the first condition is met, and the first node U2 transmits the target channel information on the second physical channel.

[0328] As one example, whether the second node receives the target channel information on the second physical channel is determined by the second node itself or is related to the implementation.

[0329] As one embodiment, the second node determines whether to receive the target channel information on the second physical channel.

[0330] As an example, the second node receives the target channel information on the second physical channel only when the first condition is met.

[0331] Typically, determining whether to receive the target channel information on the second physical channel depends on whether the first condition is met.

[0332] As an example, the step of the second node receiving the target channel information on the second physical channel only when the first condition is met includes: when the first condition is not met, the second node abandons receiving signals on the second physical channel.

[0333] As one embodiment, the step of the second node receiving the target channel information on the second physical channel only when the first condition is met includes: when the first condition is not met, the second node abandons receiving the target channel information on the second physical channel.

[0334] As an example, the step of the second node receiving the target channel information on the second physical channel only when the first condition is met includes: when the first condition is met, the second node receives the target channel information on the second physical channel and the target channel information is valid; when the first condition is not met, the second node receives the target channel information on the second physical channel and the target channel information is not updated.

[0335] As an example, no HARQ-ACK or transport block is multiplexed on the second physical channel; the statement that the second node receives the target channel information on the second physical channel only when the first condition is met includes: when the first condition is not met, the second node abandons receiving signals on the second physical channel.

[0336] As an example, no HARQ-ACK or transport block is multiplexed on the second physical channel; the statement that the second node receives the target channel information on the second physical channel only when the first condition is met includes: when the first condition is not met, the second node abandons receiving the target channel information on the second physical channel.

[0337] As an example, a HARQ-ACK or transport block is multiplexed on the second physical channel; the second node receiving the target channel information on the second physical channel only when the first condition is met includes: when the first condition is met, the second node receives the target channel information on the second physical channel and the target channel information is valid; when the first condition is not met, the second node receives the target channel information on the second physical channel and the target channel information is not updated.

[0338] As an example, a HARQ-ACK or transport block is multiplexed on the second physical channel; the second node receiving the target channel information on the second physical channel only when the first condition is met includes: when the first condition is met, the second node receives the target channel information on the second physical channel and the target channel information is valid; when the first condition is not met, the second node receives a signal on the second physical channel, and the signal received on the second physical channel does not carry the target channel information.

[0339] As an example, a HARQ-ACK or transport block is multiplexed on the second physical channel; the second node receiving the target channel information on the second physical channel only when the first condition is met includes: when the first condition is met, the second node receives the target channel information on the second physical channel and the target channel information is valid; when the first condition is not met, the second node abandons receiving signals on the second physical channel, or the second node abandons receiving the target channel information on the second physical channel.

[0340] As one embodiment, determining whether the target channel information is received on the second physical channel includes: determining whether the target channel information is received on the second physical channel and whether the target channel information is valid.

[0341] As one embodiment, determining whether the target channel information is received on the second physical channel includes: receiving the target channel information on the second physical channel, and determining whether the target channel information received on the second physical channel is valid or updated.

[0342] As one embodiment, determining whether to receive the target channel information on the second physical channel includes: determining whether to receive the target channel information on the second physical channel or to abandon receiving signals on the second physical channel.

[0343] As one embodiment, determining whether to receive the target channel information on the second physical channel includes: determining whether to receive the target channel information on the second physical channel or to abandon receiving the target channel information on the second physical channel.

[0344] Typically, the second node receives the target channel information on the second physical channel only when the first condition is met; wherein the target channel information received by the second node on the second physical channel is valid.

[0345] As an example, the first configuration information block is used to configure the reporting of the target channel information.

[0346] As an example, the first resource set being used for the measurement of the target channel information means that the first resource set is used for channel measurement of the target channel information.

[0347] As an example, the first resource set being used for the measurement of the target channel information means that the first resource set is used for the interference measurement of the target channel information.

[0348] As an example, the first resource set being used for the measurement of the target channel information means that the first resource set is used for at least one of the channel measurement or interference measurement of the target channel information.

[0349] As an example, the first resource set being used for the measurement of the target channel information means that the first resource set is used for channel measurement and interference measurement of the target channel information.

[0350] As one embodiment, the first configuration information block is carried by higher layer signaling.

[0351] As an example, the first configuration information block is carried by RRC (Radio Resource Control) signaling.

[0352] As an example, the first configuration information block is carried by an RRC IE (Information Element).

[0353] As an example, the first configuration information block is carried by at least one RRC IE.

[0354] As an example, the first configuration information block includes information from one or more domains in at least one RRC IE.

[0355] As one embodiment, the first configuration information block includes information from one or more domains of each of the plurality of RRC IEs.

[0356] As an example, the first configuration information block is an RRC IE.

[0357] As an example, the first configuration information block belongs to CSI-ReportConfig IE.

[0358] As an example, the first configuration information block belongs to ServingCellConfig IE.

[0359] As an example, the first configuration information block belongs to CSI-MeasConfig IE.

[0360] As an example, the first configuration information block belongs to ServingCellConfigCommon IE.

[0361] As an example, the first configuration information block belongs to ServingCellConfigCommonSIB IE.

[0362] As one embodiment, the first configuration information block includes some or all of the fields in the CSI-ReportConfig IE.

[0363] As one embodiment, the first configuration information block includes some or all of the domains in ServingCellConfig IE.

[0364] As one embodiment, the first configuration information block includes some or all of the domains in CSI-MeasConfig IE.

[0365] As one embodiment, the first configuration information block includes some or all of the domains in the ServingCellConfigCommon IE.

[0366] As one embodiment, the first configuration information block includes some or all of the domains in the ServingCellConfigCommonSIB IE.

[0367] 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.

[0368] 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.

[0369] 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.

[0370] 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.

[0371] 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.

[0372] 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.

[0373] 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.

[0374] As an example, a set of RS resources for interference measurement includes one or more RS resources.

[0375] 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.

[0376] As one embodiment, the first resource set includes one or more downlink RS resources.

[0377] 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.

[0378] As an example, at least one RS resource in the first resource set is a CSI-RS (Channel State Information Reference Signal) resource.

[0379] As an example, any RS resource in the first resource set is a CSI-RS (Channel State Information Reference Signal) resource.

[0380] As an example, the first resource set includes at least one of CSI-RS (Channel State Information Reference Signal) resources or synchronization signal resources.

[0381] As one embodiment, the synchronization signal resources include at least the resources occupied by the synchronization signal.

[0382] As an example, the synchronization signal resource is an SSB (Synchronization Signal Block).

[0383] As an example, the synchronization signal resource is an SS / PBCH (synchronization signal / physical broadcast channel) block resource.

[0384] As an example, the first configuration information block indicates at least one resource configuration, and the at least one resource configuration indicates the first resource set.

[0385] As one embodiment, the first configuration information block includes at least one resource configuration, the at least one resource configuration indicating the first resource set.

[0386] As an example, a resource configuration is used to configure CSI resources.

[0387] As an example, a resource configuration is an IE CSI-ResourceConfig.

[0388] As an example, a resource configuration is carried by an RRC IE.

[0389] As an example, a resource configuration is carried by the CSI-ResourceConfig IE.

[0390] As one embodiment, the first configuration information block indicates the configuration information of the first resource set.

[0391] As one embodiment, the first configuration information block indicates the identifier of the first resource set.

[0392] As one embodiment, the generation of the target channel information depends on measurements based on a first timing set, which includes at least one transmission timing of at least one RS resource in the first resource set.

[0393] As an example, the first timing set includes at least one transmission timing of at least one RS resource in the first resource set no later than the CSI reference resource.

[0394] As an example, the first timing set includes the most recent transmission timing of at least one RS resource in the first resource set that is no later than the CSI reference resource.

[0395] As one embodiment, the first timing set includes one or more recent transmission timings of at least one RS resource in the first resource set that are no later than the CSI reference resource.

[0396] As an example, the first timing set includes all transmission timings of at least one RS resource in the first resource set that are no later than the CSI reference resource.

[0397] As one embodiment, the first timing set includes the most recent transmission timing of each RS resource in some or all of the RS resources in the first resource set, no later than the CSI reference resource.

[0398] As one embodiment, the first timing set includes one or more recent transmission timings of each RS resource in some or all of the RS resources in the first resource set that are no later than the CSI reference resource.

[0399] As one embodiment, the first timing set includes all transmission timings of each RS resource in some or all of the RS resources in the first resource set that are no later than the CSI reference resource.

[0400] 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 generation of the target channel information depends on the measurement based on the first timing set, including: the generation of the target channel information depends on the channel measurement obtained based on the first timing set.

[0401] 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 generation of the target channel information depends on the measurement based on the first timing set, including: the generation of the target channel information depends on the interference measurement obtained based on the first timing set.

[0402] 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 generation of the target channel information depends on the measurement based on the first timing set, including: the generation of the target channel information depends on the channel measurement and interference measurement obtained based on the first timing set.

[0403] As one embodiment, the generation of the target channel information depends on measurements based on a first timing set, including: measurements based on the first timing set are used to generate the target channel information.

[0404] 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 generation of the target channel information depends on measurements based on the first timing set, including: channel measurements obtained based on the first timing set are used to generate the target channel information.

[0405] 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 generation of the target channel information depends on the measurement based on the first timing set, including: interference measurements obtained based on the first timing set are used to generate the target channel information.

[0406] 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 generation of the target channel information depends on measurements based on the first timing set, including: the channel measurements and interference measurements obtained based on the first timing set are used to generate the target channel information.

[0407] As an example, the channel measurement obtained based on the first timing set refers to the channel measurement obtained based on at least one reference signal transmitted in the first timing set.

[0408] As an example, the channel measurement obtained based on the first timing set refers to the channel measurement obtained in the first timing set.

[0409] As an example, the interference measurement obtained based on the first timing set refers to the interference measurement obtained based on at least one reference signal transmitted in the first timing set.

[0410] As an example, the interference measurement obtained based on the first timing set refers to the interference measurement obtained in the first timing set.

[0411] As an example, the channel measurement obtained based on the first timing set includes a channel matrix.

[0412] As an example, the channel measurements obtained based on the first timing set include the raw channel matrix.

[0413] As an example, the channel measurement obtained based on the first timing set includes an eigenvector.

[0414] As an example, the channel measurements obtained based on the first timing set include feature vectors and eigenvalues.

[0415] As an example, the channel measurements obtained based on the first timing set include one or more of BLER, delay spread, Doppler spread, Doppler shift, average delay, average gain, path loss, and RSRP.

[0416] As an example, the interference measurement obtained based on the first timing set includes at least one of interference power, interference variance, or interference power spectral density.

[0417] As an example, the interference measurement obtained based on the first timing set includes an interference channel matrix.

[0418] As an example, the interference measurement obtained based on the first timing set includes the interference covariance matrix.

[0419] As an example, the interference measurement obtained based on the first timing set includes an interference feature vector.

[0420] As an example, the interference measurement obtained based on the first timing set includes interference feature vectors and interference feature values.

[0421] As an example, the interference measurement obtained based on the first timing set includes the interference beam.

[0422] Generally, the method by which the target channel information of the first node is generated based on the measurement of the first timing set is determined by the equipment manufacturer. Some non-limiting implementation methods are described below:

[0423] As one embodiment, the measurement based on the first timing set includes channel measurements obtained based on the first timing set.

[0424] As one embodiment, the measurement based on the first timing set includes channel measurements and interference measurements obtained based on the first timing set.

[0425] As one embodiment, the measurement based on the first timing set includes interference measurements obtained based on the first timing set.

[0426] As an example, the interference measurement includes one or more of the following: interference power, interference variance, or interference power spectral density.

[0427] As one embodiment, the measurement based on the first timing set includes the channel impulse response obtained based on the measurement for the first timing set.

[0428] As one embodiment, the measurement based on the first timing set includes a channel matrix obtained based on the measurement for the first timing set.

[0429] As one embodiment, the measurement based on the first timing set includes the eigenvectors and eigenvalues ​​of the channel matrix obtained based on the measurement for the first timing set.

[0430] As one embodiment, the measurement based on the first timing set includes a matrix or vector obtained by preprocessing the channel matrix obtained based on the measurement for the first timing set.

[0431] As an example, the channel matrix is ​​in the spatial-frequency domain.

[0432] As an example, the channel matrix is ​​in the angular-delay domain projection.

[0433] 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.

[0434] As one example, the preprocessing includes one or more of matrix decomposition, matrix transformation, or projection.

[0435] As one example, the preprocessing includes quantization.

[0436] As one example, the preprocessing includes DFT.

[0437] 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.

[0438] As one example, the preprocessing includes truncation and / or padding.

[0439] As one example, the preprocessing includes mapping.

[0440] As one example, the preprocessing includes mapping to vectors.

[0441] As one example, the preprocessing includes labeling.

[0442] As an example, the label refers to a mark made with a label.

[0443] As an example, in the case where the generation method of the target channel information is not based on AI, how to generate the target channel information is determined by the manufacturer of the first node, or is implementation-related. A typical but non-limiting implementation is described below:

[0444] The first node first measures the RS in the first resource set to obtain the channel parameter matrix H. r×t Where r and t are the number of receiving antennas and the number of antenna ports, respectively; for the channel parameter matrix H r×t Power adjustment is performed, and the adjusted channel parameter matrix is ​​as follows: Where P is the assumed ratio of PDSCH EPRE to CSI-RS EPRE; when using the precoding matrix W t×l Under these conditions, the precoded channel parameter matrix is: Where l is the rank or the number of layers, in one case l is a positive integer no greater than t, in another case the precoding matrix is ​​an identity matrix, in which case t = l; the target channel information is generated using criteria such as maximum SINR (Signal Interference Noise Ratio), EESM (Exponential Effective SINR Mapping), or maximum channel capacity. Generally, the calculation of the target channel information requires the first node to estimate interference (including noise). The first configuration information block also indicates RS resources used for interference measurement. The first node can measure one or more transmission times of the RS resources for interference measurement to obtain accurate interference measurement. Generally, the calculation of the target channel information depends on receiver performance or hardware-related factors such as modulation scheme.

[0445] As one example, the generation method of the target channel information is based on AI. How to generate the target channel information is determined by the manufacturer of the first node, or is related to implementation. Without loss of generality, the AI ​​model or parameters used to generate the target channel information are determined by the manufacturer of the first node.

[0446] As an example, the first node U2 is the first node in this application.

[0447] As an example, the second node U1 is the second node in this application.

[0448] 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.

[0449] 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.

[0450] As one embodiment, the air interface between the second node U1 and the first node U2 includes a wireless interface between user equipment.

[0451] As one example, the second node U1 is the serving cell sustaining base station of the first node U2.

[0452] As an example, in Figure 5, when the target channel information is generated based on AI, step S522 in block F55 is present.

[0453] As an example, in Figure 5, when the generation method of the target channel information is not based on AI, step S522 in block F55 is absent.

[0454] As an example, in Figure 5, when the generation method of the target channel information is not based on AI, the steps in blocks F54 and F55 are not present.

[0455] As an example, the steps in block F52 of Figure 5 are present.

[0456] As an example, in Figure 5, when the target channel information is generated based on AI, step S522 in block F55 exists, and the step in block F54 exists. The first node and the second node adopt a two-sided AI model.

[0457] As an example, in Figure 5, when the target channel information is generated based on AI, step S522 in block F55 exists, while step S522 in block F54 does not exist, and the first node adopts a single-side AI model.

[0458] As an example, in Figure 5, when the target channel information is generated based on AI, step S522 in block F55 and step S522 in block F54 are present. The first operation is used for CSI compression, the second operation is used for CSI recovery, and the first node and the second node adopt a two-sided AI model.

[0459] As an example, in Figure 5, when the target channel information is generated based on AI, step S522 in block F55 exists, while step S522 in block F54 does not exist. The first operation is used for beam prediction, and the first node adopts a single-side AI model.

[0460] As an example, sending a signal in the first resource set means sending a wireless signal in the first resource set.

[0461] As an example, sending a signal in the first resource set means sending a reference signal in the first resource set.

[0462] As an example, receiving a signal in the first resource set means receiving a wireless signal in the first resource set.

[0463] As an example, receiving a signal in the first resource set means receiving a reference signal in the first resource set.

[0464] As an example, the deployment of the first operation occurs earlier than the reception of the first configuration information block.

[0465] As an example, the deployment of the first operation is later than the receipt of the first configuration information block.

[0466] As an example, the step in block F53 of Figure 5 is present; the method used in the first node for wireless communication includes: receiving a signal in the first resource set.

[0467] As an example, the step in block F53 of Figure 5 is present; the method used in the second node for wireless communication includes: transmitting a signal in the first resource set.

[0468] As an example, the signal received in the first resource set includes a reference signal.

[0469] As an example, the signals received in the first resource set include wireless signals.

[0470] As an example, the output of the first operation includes a first CSI, the target channel information carries the first CSI, and the first CSI is used as input to the second operation to generate a second CSI.

[0471] As an example, the first CSI is used to generate the target channel information.

[0472] As one embodiment, the target channel information includes the first CSI.

[0473] As an example, the steps in block F51 of Figure 5 are present, and the method described above for the second node used in wireless communication includes: deploying the second operation.

[0474] As an example, the deployment of the second operation occurs earlier than the transmission of the first configuration information block.

[0475] As an example, the deployment of the second operation is later than the sending of the first configuration information block.

[0476] As an example, the step in block F56 of Figure 5 is present, and the method described above for the second node used in wireless communication includes: performing the second operation.

[0477] As an example, the first operation is used for CSI compression, the second operation is used for CSI recovery, and the first node and the second node adopt a two-sided AI model.

[0478] As an example, the first operation is used for beam prediction, and the first node employs a single-side AI model.

[0479] As one embodiment, the target channel information includes CSI (channel state information) or beam information.

[0480] As one example, the target channel information includes at least one resource indication.

[0481] As an example, the target channel information includes at least one resource indication, wherein one of the resource indications in the target channel information is used to indicate a beam or RS resource.

[0482] As an example, the target channel information includes at least one resource indication, wherein one of the resource indications in the target channel information is used to indicate a beam, CSI-RS resource, or SS / PBCH block resource.

[0483] As an example, the target channel information includes at least one resource indicator; one of the resource indicators in the target channel information is used to indicate a beam, or one of the resource indicators in the target channel information is a CRI (CSI-RS Resource Indicator, Channel State Information Reference Signal Resource Indicator) or an SS / PBCH Block Resource Indicator (SSBRI).

[0484] As an example, the target channel information includes at least one resource indication and RSRP.

[0485] As an example, the target channel information 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).

[0486] As an example, when the target channel information is not generated based on AI, the target channel information includes one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, or TDCP.

[0487] As an example, when the target channel information is generated based on AI, the target channel information includes a channel matrix.

[0488] As an example, when the target channel information is generated based on AI, the target channel information includes at least one of the channel's feature values ​​or feature vectors.

[0489] As an example, when the target channel information is generated based on AI, the target channel information includes predicted or estimated CSI.

[0490] As an example, when the target channel information is generated based on AI, the target channel information includes predicted beam information.

[0491] As one example, the amount of reporting included in the target channel information depends on whether the target channel information is generated based on AI.

[0492] As an example, whether the target channel information includes confidence information depends on whether the target channel information is generated based on AI; the target channel information includes confidence information only when the target channel information is generated based on AI.

[0493] As an example, whether the target channel information is based on a non-codebook depends on whether the target channel information is generated based on AI; when the target channel information is generated based on AI, the target channel information is based on a non-codebook; when the target channel information is not generated based on AI, the target channel information is based on a codebook.

[0494] As an example, when the target channel information is generated based on AI, the target channel information does not belong to the CSI defined in 3GPP Rel-18 and earlier versions.

[0495] As an example, when the target channel information is generated based on AI, the target channel information includes predicted channel or beam information, or compressed CSI.

[0496] As an example, when the target channel information is generated based on AI, the target channel information includes CSI based on artificial intelligence or machine learning.

[0497] As an example, when the target channel information is generated based on AI, the target channel information includes CSI generated based on a neural network.

[0498] As an example, when the target channel information is generated based on AI, the target channel information includes CSI generated based on CNN (Conventional Neural Networks).

[0499] As an example, the target channel information indicates at least one RS resource in the first resource set.

[0500] As one embodiment, the target channel information indicates at least one resource in a second resource set, the second resource set including resources that do not belong to the first resource set.

[0501] As one embodiment, the target channel information is generated based on AI, and the target channel information indicates at least one resource in a second resource set, the second resource set including resources that do not belong to the first resource set.

[0502] As one embodiment, whether the resource indicated by the target channel information belongs to the first resource set depends on whether the target channel information is generated based on AI; when the target channel information is generated based on AI, the resource indicated by the target channel information belongs to the second resource set, and the second resource set includes resources that do not belong to the first resource set; when the target channel information is not generated based on AI, the resource indicated by the target channel information belongs to the first resource set.

[0503] As one embodiment, whether the RS resource indicated by the target channel information belongs to the first resource set depends on whether the target channel information is generated based on AI; when the target channel information is generated based on AI, the resource indicated by the target channel information belongs to the second resource set, and the second resource set includes resources that do not belong to the first resource set; the resource indicated by the target channel information belongs to the first resource set only when the target channel information is not generated based on AI.

[0504] As an example, the target channel information includes CSI.

[0505] As an example, the target channel information includes one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, TDCP, predicted channel information, predicted beam information, or confidence information.

[0506] As an example, when the target channel information is generated based on AI, the target channel information includes predicted channel information.

[0507] As an example, when the target channel information is generated based on AI, the target channel information includes predicted beam information.

[0508] As an example, when the target channel information is generated based on AI, the predicted beam information includes beam indication or RS resource indication.

[0509] As one example, the predicted beam information includes beam indication and RSRP.

[0510] As one example, the predicted beam information includes RS resource indication and RSRP.

[0511] 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).

[0512] As an example, when the target channel information is generated based on AI, the target channel information includes compressed CSI.

[0513] As one embodiment, the predicted beam information includes a beam indicator or an RS resource indicator.

[0514] As one example, the predicted beam information includes beam indication and RSRP.

[0515] As one example, the predicted beam information includes RS resource indication and RSRP.

[0516] 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).

[0517] As an example, the compressed CSI is based on a non-codebook.

[0518] 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.

[0519] 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.

[0520] As an example, the compressed CSI is based on artificial intelligence or machine learning.

[0521] As an example, the compressed CSI is based on neural network CSI.

[0522] As an example, the compressed CSI is based on CNN (Conventional Neural Networks) CSI.

[0523] Examples 6A-6B

[0524] Examples 6A-6B illustrate, respectively, an AI-based method for generating target channel information according to an embodiment of this application; as shown in Figures 6A-6B.

[0525] In embodiment 6A, the generation of the target channel information is based on AI and includes: the generation of the target channel information includes the first node or the target receiver of the first information block performing a first operation, the input of the first operation depending on the measurement of a first resource set, the first resource set including one or more RS resources, and the target channel information depending on the output of the first operation.

[0526] In Example 6B, the method of generating the target channel information based on AI includes: the method of generating the target channel information is associated with a first type of identifier.

[0527] As one embodiment, the generation method of the target channel information associated with the first type of identifier includes: the generation of the target channel information includes performing a first operation, the input of the first operation depends on a measurement based on a first resource set, the first resource set including one or more RS resources, the target channel information depends on the output of the first operation, and the first operation is associated with the first type of identifier.

[0528] As an example, the target channel information is generated based on AI, and the target channel information includes the output of the first operation.

[0529] As an example, the target channel information is generated based on AI, and the target channel information includes the post-processed output of the first operation.

[0530] As an example, the target channel information is generated based on AI, and the target channel information includes the truncated and / or quantized output of the first operation.

[0531] As an example, the output of the first operation is used to generate the target channel information.

[0532] As an example, the output of the first operation, after post-processing, is used to generate the target channel information.

[0533] As an example, the output of the first operation, after being truncated and / or quantized, is used to generate the target channel information.

[0534] As an example, some or all of the output of the first operation is post-processed and used to generate the target channel information.

[0535] 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 channel information.

[0536] As an example, the first configuration information block indicates a first identifier, the first identifier being a first-class identifier, and the first operation being associated with the first identifier.

[0537] As one embodiment, the generation method of the target channel information associated with the first type of identifier includes: the generation of the target channel information includes the target receiver of the first information block performing a first operation, the input of the first operation depending on the measurement based on the first resource set, the target channel information depending on the output of the first operation, and the first operation being associated with the first type of identifier.

[0538] As one embodiment, 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 measurement of the first timing set.

[0539] As an example, the first operation is based on training or AI.

[0540] 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.

[0541] As an example, the advantages of the above method include its applicability to channel compression and the saving of feedback overhead.

[0542] 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.

[0543] 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.

[0544] 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.

[0545] 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.

[0546] As an example, the advantages of the above method include reduced RS overhead and reduced feedback latency.

[0547] As an example, the channel information in this application includes beam information.

[0548] 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.

[0549] 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.

[0550] 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.

[0551] 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.

[0552] 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.

[0553] 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.

[0554] 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.

[0555] 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.

[0556] As an example, the advantages of the above method include improved CSI accuracy and real-time performance, and reduced RS overhead.

[0557] 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.

[0558] As an example, the advantages of the above method include reduced RS overhead and improved accuracy and completeness of CSI.

[0559] 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.

[0560] As a sub-implementation of the above embodiment, the P1 antenna ports are a proper subset of the P2 antenna ports.

[0561] As a sub-implementation of the above embodiment, the P2 antenna ports belong to the second resource set.

[0562] 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.

[0563] As a sub-implementation of the above embodiments, the first frequency domain resource is a proper subset of the second frequency domain resource.

[0564] As an example, the first operation is based on training.

[0565] As an example, the first operation is obtained through training.

[0566] As one example, the training for obtaining the first operation is performed by the first node.

[0567] As one example, the training for obtaining the first operation is performed by the sender of the first configuration information block.

[0568] As one example, the training for obtaining the first operation is performed by the sender of the first resource set.

[0569] As an example, the training for obtaining the first operation is performed by the MDA (Management Data Analytics Function).

[0570] As an example, the training for obtaining the first operation is performed by the MDAS (Management Data Analytics Service) producer.

[0571] As an example, the training for obtaining the first operation is performed by NWDAF (Network Data Analytics Function).

[0572] As an example, the training for obtaining the first operation is performed by the core network.

[0573] As an example, the training for obtaining the first operation is performed by an AI training producer.

[0574] As an example, the executor for obtaining the training of the first operation is different from the sender of the first configuration information block.

[0575] As one example, the executor for obtaining the training of the first operation is different from the sender of the first resource set.

[0576] As an example, the first operation includes inference.

[0577] As one example, the first operation includes AI (Artificial Intelligence).

[0578] As an example, the first operation is a deduction.

[0579] As an example, the first operation is AI inference.

[0580] As an example, the first operation includes AI inference for CSI.

[0581] As an example, the first operation includes AI inference for beam prediction.

[0582] As an example, the benefits of the above method include improved performance in CSI (including beam) measurement and reporting, including more accurate CSI, lower reference signal overhead and reporting overhead, thereby improving overall system performance.

[0583] As an example, the first operation is AI inference for CSI.

[0584] As an example, the first operation includes AI inference for at least one of beam prediction, CSI prediction, CSI estimation, or CSI compression.

[0585] As an example, the CSI prediction includes beam prediction.

[0586] 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.

[0587] As an example, the first operation is based on an AI model.

[0588] As one example, the first operation includes an AI entity.

[0589] As an example, the first operation includes an AI inference entity.

[0590] As an example, the first operation includes an AI entity for inference.

[0591] As an example, the first operation includes a portion of an AI entity.

[0592] As an example, the first operation includes a portion of an AI entity used for inference.

[0593] As an example, the first operation includes an AI entity for CSI.

[0594] As one example, the first operation includes an AI entity for beam prediction.

[0595] As one example, the first operation includes an AI entity for CSI prediction, estimation, or compression.

[0596] As an example, the first operation includes inference of AI entities for CSI.

[0597] As an example, the first operation includes inferences about AI entities used for CSI prediction, estimation, or compression.

[0598] As an example, the first operation is performed by an AI entity.

[0599] As an example, the first operation is performed by an AI entity deployed on the first node.

[0600] As an example, the first operation is performed by an AI function.

[0601] As an example, the first operation is performed by an AI function deployed on the first node.

[0602] As one example, the AI ​​functionality includes AI inference capabilities.

[0603] As one example, the AI ​​functionality includes AI training functionality.

[0604] As one example, the AI ​​functionality includes AI management functionality.

[0605] As an example, the first operation is performed by the physical layer of the first node.

[0606] As an example, the first operation is performed at a higher level than the first node.

[0607] As an example, the first operation requires deployment.

[0608] As an example, the first operation is obtained by loading.

[0609] As an example, the first operation is obtained from the serving cell of the first node.

[0610] As an example, the first operation is obtained from the maintenance base station loading of the serving cell of the first node.

[0611] As an example, the first operation is obtained from the core network.

[0612] As an example, the first operation is based on artificial intelligence or machine learning.

[0613] As an example, the first operation is based on a neural network.

[0614] As an example, the first operation includes CSI compression based on a neural network.

[0615] As one example, the first operation includes an encoder for CSI compression based on a neural network.

[0616] As an example, the first operation includes CNN-based CSI compression.

[0617] As an example, the first operation includes a CNN-based CSI compression encoder.

[0618] As an example, the output of the first operation is based on a non-codebook.

[0619] 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.

[0620] As an example, the output of the first operation is based on artificial intelligence or machine learning.

[0621] As an example, the output of the first operation is based on a neural network.

[0622] As an example, the output of the first operation is based on a CNN.

[0623] As an example, the output of the first operation includes CSI.

[0624] As an example, the output of the first operation includes predicted beam information.

[0625] As an example, the output of the first operation includes beam indication and RSRP.

[0626] As an example, the output of the first operation includes an RS resource indication and an RSRP.

[0627] As an example, the output of the first operation includes a resource indication and an RSRP.

[0628] 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).

[0629] As an example, the output of the first operation includes one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, and TDCP.

[0630] As an example, the output of the first operation includes a channel impulse response.

[0631] As an example, the output of the first operation includes small-scale characteristics.

[0632] 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.

[0633] As an example, the output of the first operation includes a channel matrix.

[0634] As an example, the output of the first operation includes target channel information.

[0635] As one example, the target channel information includes predicted or estimated CSI.

[0636] As one example, the target channel information includes predicted beam information.

[0637] As an example, in the above method, the first operation is used for beam prediction, CSI prediction, or estimation to reduce RS overhead and / or improve CSI accuracy / completeness.

[0638] As an example, the first node is a user (consumer).

[0639] As an example, the first node is the user of the AI ​​function.

[0640] As an example, the first node is the user of AI inference.

[0641] As an example, the first node is the user who trained the AI.

[0642] As an example, the first node is an MnS (Management Service) user.

[0643] As an example, the first node is the producer of AI inference.

[0644] As an example, the first node is the AI ​​training producer.

[0645] As one example, the first operation includes preprocessing.

[0646] As an example, the preprocessing includes DFT (Discrete Fourier Transform).

[0647] As an example, the preprocessing includes one or more of matrix decomposition, matrix transformation, and projection.

[0648] 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.

[0649] As one example, the preprocessing includes truncation and / or padding.

[0650] As one example, the preprocessing includes mapping.

[0651] As one example, the preprocessing includes mapping to vectors.

[0652] As one example, the preprocessing includes labeling.

[0653] As an example, the label refers to a mark made with a label.

[0654] As one example, the first operation includes post-processing.

[0655] As one example, the post-processing includes DFT.

[0656] As one example, the post-processing includes quantization.

[0657] 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.

[0658] As one example, the post-processing includes truncation and / or padding.

[0659] As an example, the first operation includes one or more of convolution, pooling, cascading, and activation.

[0660] As one embodiment, the first operation includes a fully connected layer.

[0661] As an example, the first operation includes a pooling layer.

[0662] As one embodiment, the first operation includes at least one convolutional layer.

[0663] As an example, the first operation includes at least one encoding layer.

[0664] As an example, an encoding layer includes at least one convolutional layer and one pooling layer.

[0665] 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.

[0666] 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.

[0667] 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.

[0668] 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.

[0669] 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.

[0670] 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.

[0671] 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.

[0672] 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.

[0673] 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.

[0674] 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.

[0675] 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.

[0676] As an example, the channel measurement obtained based on the first resource set refers to the channel measurement obtained in the first resource set.

[0677] 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.

[0678] As an example, the interference measurement obtained based on the first resource set refers to the interference measurement obtained in the first resource set.

[0679] As one example, the channel measurement obtained based on the first resource set includes a channel matrix.

[0680] As an example, the channel measurements obtained based on the first resource set include the raw channel matrix.

[0681] As an example, the channel measurement obtained based on the first resource set includes an eigenvector.

[0682] As an example, the channel measurements obtained based on the first resource set include feature vectors and eigenvalues.

[0683] 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.

[0684] 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.

[0685] As an example, the interference measurement obtained based on the first resource set includes an interference channel matrix.

[0686] As an example, the interference measurement obtained based on the first resource set includes the interference covariance matrix.

[0687] As an example, the interference measurement obtained based on the first resource set includes an interference feature vector.

[0688] As an example, the interference measurement obtained based on the first resource set includes interference feature vectors and interference feature values.

[0689] As one example, the interference measurement obtained based on the first resource set includes interference beams.

[0690] 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:

[0691] As an example, the input to the first operation includes channel measurements obtained based on the first resource set.

[0692] As an example, the inputs to the first operation include channel measurements and interference measurements obtained based on the first resource set.

[0693] As an example, the input to the first operation includes interference measurements obtained based on the first resource set.

[0694] As an example, the interference measurement includes one or more of the following: interference power, interference variance, or interference power spectral density.

[0695] As an example, the input to the first operation includes a channel impulse response obtained based on measurements of the first resource set.

[0696] As an example, the input to the first operation includes a channel matrix obtained based on measurements of the first resource set.

[0697] 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.

[0698] 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.

[0699] 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 timing set includes: the input dependency of the first operation based on the channel measurement obtained from the first timing set.

[0700] 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 timing set includes: the input dependency of the first operation based on the interference measurement obtained from the first timing set.

[0701] 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 timing set includes: the input dependency of the first operation based on the channel measurement and interference measurement obtained from the first timing set.

[0702] As one embodiment, the input dependence of the first operation on measurements based on the first timing set includes: measurements based on the first timing set being used to generate the input of the first operation.

[0703] 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 timing set includes: channel measurements obtained based on the first timing set are used to generate the input of the first operation.

[0704] 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 timing set includes: interference measurement obtained based on the first timing set is used to generate the input of the first operation.

[0705] 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 timing set includes: the channel measurement and interference measurement obtained based on the first timing set are used to generate the input of the first operation.

[0706] As an example, the channel measurement obtained based on the first timing set refers to the channel measurement obtained based on at least one reference signal transmitted in the first timing set.

[0707] As an example, the channel measurement obtained based on the first timing set refers to the channel measurement obtained in the first timing set.

[0708] As an example, the interference measurement obtained based on the first timing set refers to the interference measurement obtained based on at least one reference signal transmitted in the first timing set.

[0709] As an example, the interference measurement obtained based on the first timing set refers to the interference measurement obtained in the first timing set.

[0710] As an example, the channel measurement obtained based on the first timing set includes a channel matrix.

[0711] As an example, the channel measurements obtained based on the first timing set include the raw channel matrix.

[0712] As an example, the channel measurement obtained based on the first timing set includes an eigenvector.

[0713] As an example, the channel measurements obtained based on the first timing set include feature vectors and eigenvalues.

[0714] As an example, the channel measurements obtained based on the first timing set include one or more of BLER, delay spread, Doppler spread, Doppler shift, average delay, average gain, path loss, and RSRP.

[0715] As an example, the interference measurement obtained based on the first timing set includes at least one of interference power, interference variance, or interference power spectral density.

[0716] As an example, the interference measurement obtained based on the first timing set includes an interference channel matrix.

[0717] As an example, the interference measurement obtained based on the first timing set includes the interference covariance matrix.

[0718] As an example, the interference measurement obtained based on the first timing set includes an interference feature vector.

[0719] As an example, the interference measurement obtained based on the first timing set includes interference feature vectors and interference feature values.

[0720] As an example, the interference measurement obtained based on the first timing set includes the interference beam.

[0721] Generally, how the first node determines the input of the first operation based on the measurement of the first timing set is determined by the equipment manufacturer. Some non-limiting implementation methods are described below:

[0722] As an example, the input to the first operation includes channel measurements obtained based on the first timing set.

[0723] As an example, the inputs to the first operation include channel measurements and interference measurements obtained based on the first timing set.

[0724] As an example, the input to the first operation includes interference measurements obtained based on the first timing set.

[0725] As an example, the interference measurement includes one or more of the following: interference power, interference variance, or interference power spectral density.

[0726] As an example, the input to the first operation includes a channel impulse response obtained based on measurements for the first timing set.

[0727] As an example, the input to the first operation includes a channel matrix obtained based on measurements for the first timing set.

[0728] As an example, the input to the first operation includes the eigenvectors and eigenvalues ​​of the channel matrix obtained based on measurements for the first timing set.

[0729] As an example, the input to the first operation includes a matrix or vector obtained by preprocessing the channel matrix based on measurements for the first timing set.

[0730] As an example, the channel matrix is ​​in the spatial-frequency domain.

[0731] As an example, the channel matrix is ​​in the angular-delay domain projection.

[0732] 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.

[0733] As one example, the preprocessing includes one or more of matrix decomposition, matrix transformation, or projection.

[0734] As one example, the preprocessing includes quantization.

[0735] As one example, the preprocessing includes DFT.

[0736] 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.

[0737] As one example, the preprocessing includes truncation and / or padding.

[0738] As one example, the preprocessing includes mapping.

[0739] As one example, the preprocessing includes mapping to vectors.

[0740] As one example, the preprocessing includes labeling.

[0741] As an example, the label refers to a mark made with a label.

[0742] Example 7

[0743] Example 7 illustrates a schematic diagram of target channel information and a second CSI according to an embodiment of this application; as shown in Figure 7. In Example 7, the output of the first operation includes a first CSI, the target channel information carries the first CSI, and the first CSI is used as input to the second operation by the target receiver of the target channel information to generate a second CSI.

[0744] As an example, the first operation is used for CSI compression, the second operation is used for CSI recovery, and the first node and the second node adopt a two-sided AI model.

[0745] As one embodiment, the first CSI includes N sub-CSIs, and the N information blocks respectively carry the N sub-CSIs.

[0746] As an example, the first CSI includes the output of the first operation.

[0747] As an example, the first CSI includes compressed CSI.

[0748] As one embodiment, the second CSI includes the recovery of at least a portion of the input of the first operation.

[0749] As an example, the second CSI includes one or more of the following: PMI (Precoding Matrix Indicator), CRI (CSI-RS Resource Indicator), SS / PBCH Block Resource Indicator (SSBRI), beam indicator, resource indicator, CQI (Channel Quality Indicator), RI (Rank Indicator), Layer Indicator (LI), RSRP (Reference Signal Received Power), SINR (Signal-to-Noise and Interference Ratio), Capability Index, or TDCP (Time Domain Channel Properties).

[0750] As one embodiment, the second CSI includes a channel matrix.

[0751] As one embodiment, the second CSI includes a feature vector and / or feature values.

[0752] As one embodiment, the second CSI includes a precoding matrix.

[0753] As one embodiment, the second CSI includes one or more of the following: channel matrix, eigenvector, eigenvalue, or precoding matrix.

[0754] As an example, the target receiver of the target channel information is the sender of the first configuration information block.

[0755] As one embodiment, the target receiver of the target channel information is the sender of the first resource set.

[0756] As an example, the second operation is the inverse operation of the first operation.

[0757] As an example, the second operation is based on training.

[0758] As one example, the training for obtaining the second operation is performed by the target receiver of the target channel information.

[0759] As one example, the training for obtaining the second operation is performed by the MDA function.

[0760] As an example, the training for obtaining the second operation is performed by the MDAS producer.

[0761] As an example, the training for obtaining the second operation is performed by NWDAF.

[0762] As an example, the training for obtaining the second operation is performed by the core network.

[0763] As an example, the training for obtaining the second operation is performed by an AI (Artificial Intelligence) training producer.

[0764] As an example, the AI ​​(Artificial Intelligence) includes ML (Machine Learning).

[0765] As an example, the AI ​​(Artificial Intelligence) includes a neural network.

[0766] As an example, the AI ​​(Artificial Intelligence) includes CNN (Conventional Neural Networks).

[0767] As an example, the first operation and the second operation are obtained through different training.

[0768] As an example, the first operation and the second operation are obtained through independent training.

[0769] As an example, the advantages of the above method include: saving air interface overhead, having better flexibility, being adaptable to different terminals, and having better forward compatibility.

[0770] As an example, the first operation and the second operation are obtained through joint training.

[0771] As an example, the advantages of the above method include: optimized performance.

[0772] As an example, the training of the second operation depends on the first operation.

[0773] As an example, the producer of the second operation trains the second operation based on the output of the first operation.

[0774] As one example, the second operation includes inference.

[0775] As one example, the second operation includes AI inference.

[0776] As one example, the second operation includes AI inference for CSI.

[0777] As an example, the second operation is AI inference for CSI recovery.

[0778] As an example, the second operation is AI inference for CSI decompression.

[0779] As an example, the second operation is performed by the AI ​​entity deployed on the second node in this application.

[0780] As an example, the second operation is performed by the AI ​​function of the second node deployed in this application.

[0781] As an example, the second operation requires deployment.

[0782] As an example, the second operation is obtained by loading.

[0783] As an example, the second operation is obtained from the core network.

[0784] As an example, the second operation is obtained from the producer.

[0785] As an example, the second operation is obtained from the producer of the second operation.

[0786] As an example, the second operation is obtained from loading from the AL entity producer.

[0787] As an example, the second operation is obtained from the AL function producer.

[0788] As an example, the second operation is obtained from loading from the MnS producer.

[0789] As an example, the second operation is based on artificial intelligence or machine learning.

[0790] As an example, the second operation is based on a neural network.

[0791] As one example, the second operation includes a decoder for CSI compression based on a neural network.

[0792] As one example, the second operation includes a CNN-based CSI compression encoder.

[0793] As an example, the second operation is performed by the physical layer of the second node.

[0794] As one example, the second operation is performed at a higher level of the second node.

[0795] Example 8

[0796] Example 8 illustrates a schematic diagram of a first operation according to an embodiment of this application; as shown in Figure 8. In Example 8, the first operation includes K1 sub-operations, where K1 is a positive integer not greater than 1. In Figure 8, the K1 sub-operations are respectively represented as sub-operation #0, ..., sub-operation #(K1-1).

[0797] As an example, each of the K1 sub-operations is based on training.

[0798] As an example, at least one of the K1 sub-operations is based on training.

[0799] As an example, each of the K1 training-based sub-operations is based on the same training executor.

[0800] As an example, two of the K1 sub-operations are based on different training executors.

[0801] As an example, at least one of the K1 sub-operations needs to be deployed.

[0802] As an example, at least one of the K1 sub-operations needs to be loaded.

[0803] As an example, all the sub-operations that need to be loaded in the K1 sub-operations are loaded from the same producer.

[0804] As an example, two of the K1 sub-operations that need to be loaded are loaded from different producers.

[0805] As an example, at least one of the K1 sub-operations is not based on training.

[0806] 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.

[0807] As an example, one or more of the K1 sub-operations are AI-based.

[0808] As an example, one or more of the K1 sub-operations include inference.

[0809] As an example, one or more of the K1 sub-operations include AI inference.

[0810] As an example, one or more of the K1 sub-operations include AI inference for CSI.

[0811] As an example, the AI ​​(Artificial Intelligence) includes ML (Machine Learning).

[0812] As an example, one or more of the K1 sub-operations include preprocessing.

[0813] As an example, one or more of the K1 sub-operations include post-processing.

[0814] As an example, among the K1 sub-operations, two sub-operations are sequential, such as all the sub-operations in Figure 8(a), sub-operations #2 to #(K1-1) in 8(b), and sub-operations #0 to #(K1-4) in 8(c).

[0815] 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.

[0816] As an example, among the K1 sub-operations, two sub-operations are parallel, such as sub-operation #0 and sub-operation #1 in Figure 8(b), and sub-operation #(K1-3) and sub-operation #(K1-2) in Figure 8(c).

[0817] 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.

[0818] As an example, the K1 sub-operations include one or more of convolution, pooling, cascading, or activation.

[0819] As an example, one of the K1 sub-operations includes a fully connected layer.

[0820] As an example, one of the K1 sub-operations includes a pooling layer.

[0821] As an example, one of the K1 sub-operations includes at least one convolutional layer.

[0822] As an example, one of the K1 sub-operations includes at least one coding layer.

[0823] As an example, two of the K1 sub-operations include a fully connected layer and at least one coding layer.

[0824] As an example, an encoding layer includes at least one convolutional layer and one pooling layer.

[0825] Example 9

[0826] Example 9 illustrates a schematic diagram of the deployment of the first operation on the first node according to an embodiment of this application; as shown in Figure 9.

[0827] As one embodiment, the deployment includes obtaining the first operation.

[0828] As one example, the deployment includes obtaining an AI entity.

[0829] As one example, the deployment includes obtaining an AI entity that performs the first operation.

[0830] As one example, the deployment includes obtaining an AI entity that includes AI functions to perform the first operation.

[0831] As one example, the deployment includes loading the first operation.

[0832] As one example, the deployment includes submitting a request to load the first operation.

[0833] As an example, the request in Figure 9 is a request from the first node to load the first operation.

[0834] As an example, the response in Figure 9 is a response to the request made by the first node to load the first operation.

[0835] As an example, the first node obtains the first operation through the response shown in Figure 9.

[0836] As an example, the first operation is obtained from the serving cell of the first node.

[0837] As an example, the first operation is obtained from the sustaining base station of the serving cell of the first node.

[0838] As an example, the first operation is obtained from the core network.

[0839] As an example, the first operation is obtained from loading from the first producer.

[0840] As an example, the first producer provides the first operation to the first node via the response shown in Figure 9.

[0841] As an example, the deployment is accomplished by an AI function.

[0842] As an example, the deployment is accomplished by AI functionality deployed on the first node.

[0843] As an example, the deployment is accomplished by an AI deployment function.

[0844] As an example, the deployment is accomplished by the AI ​​deployment function deployed on the first node.

[0845] As an example, the deployment is accomplished using AI inference functionality.

[0846] As an example, the deployment is accomplished by an AI inference function deployed on the first node.

[0847] As an example, the deployment is performed by an AI entity.

[0848] As an example, the deployment is performed by an AI entity deployed on the first node.

[0849] As an example, the deployment is performed by an AI entity with a deployment function.

[0850] As an example, the deployment is performed by an AI entity with deployment capabilities deployed on the first node.

[0851] As an example, the deployment is accomplished by an AI entity with an inference function.

[0852] As an example, the deployment is performed by an AI entity with inference capabilities deployed on the first node.

[0853] As one embodiment, the deployment includes obtaining the first operation from a first producer.

[0854] As one embodiment, the deployment includes requesting a first producer to load the first operation.

[0855] As one embodiment, the deployment includes loading the first operation from the first producer.

[0856] As an example, the first producer generates and provides the AL entity.

[0857] As an example, the first producer generates and provides AL functionality.

[0858] As an example, the first producer is the producer of the first operation.

[0859] As an example, the first producer includes an AL entity producer.

[0860] As one example, the first producer includes an AL function producer.

[0861] As one example, the first producer includes an AL deployment producer.

[0862] As one example, the first producer includes an AL loading producer.

[0863] As one example, the first producer includes an AL-trained producer.

[0864] As an example, the first producer includes an AL inference producer.

[0865] As an example, the first producer includes the producer of the AL entity deployment.

[0866] As one example, the first producer includes the producer that loads the AL entity.

[0867] As an example, the first producer includes an MnS (Management Service) producer.

[0868] As an example, the sender of the first configuration information block is the first producer.

[0869] As an example, the sender of the first configuration information block is different from the first producer.

[0870] As an example, the training for obtaining the first operation is performed by the first producer.

[0871] As an example, the executor used to obtain the training for the first operation is different from the first producer.

[0872] As one example, the AI ​​includes ML (Machine Learning).

[0873] Example 10

[0874] Example 10 illustrates a schematic diagram of a first identifier according to one embodiment of this application; as shown in Figure 10. In Example 10, the first operation is associated with the first identifier.

[0875] As one embodiment, the first configuration information block indicates a first identifier, and the first operation is associated with the first identifier.

[0876] As an example, the first identifier is a first type of identifier in this application.

[0877] As an example, the first identifier is a non-negative integer.

[0878] As an example, the first identifier is a string.

[0879] As an example, the first operation is identified by the first identifier.

[0880] As an example, the AI ​​model used in the first operation is identified by the first identifier.

[0881] As an example, the AI ​​entity to which the first operation belongs is identified by the first identifier.

[0882] As an example, the AI ​​function to which the first operation belongs is identified by the first identifier.

[0883] As an example, the AI ​​entity or AI function to which the first operation belongs is identified by the first identifier.

[0884] As an example, the advantages of the above method include that identifying an AI entity or function through the first identifier simplifies the design and unifies the understanding of different AI entities or functions across multiple nodes.

[0885] As an example, the AI ​​function that performs the first operation is identified by the first identifier.

[0886] As an example, the AI ​​entity performing the first operation is identified by the first identifier.

[0887] As an example, the AI ​​entity or AI function that performs the first operation is identified by the first identifier.

[0888] As an example, the first identifier is a model identifier.

[0889] As an example, the first identifier is used to identify an AI model.

[0890] As an example, the first identifier is used by the first node to identify an AI model.

[0891] As an example, the first identifier is used by the first node to determine the AI ​​model used in the first operation.

[0892] As an example, the advantages of the above method include that identifying an AI model / entity / function through the first identifier simplifies the design and unifies the understanding of different AI entities / functions across multiple nodes.

[0893] 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.

[0894] 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.

[0895] As one example, the training for obtaining the first operation is identified by the first identifier.

[0896] As an example, the dataset used for training the first operation is identified by the first identifier.

[0897] As an example, the benefits of the above method include establishing consensus among different AI functions by identifying an AI training or AI training dataset to recognize the inferences generated by that AI training or AI training dataset, further simplifying the design.

[0898] As an example, the first configuration information block indicates the first operation by indicating the first identifier.

[0899] As an example, the first configuration information block indicates the use of the AI ​​model by indicating the first identifier.

[0900] As an example, the first configuration information block obtains input of AI entities / functions / inferences associated with the first identifier by instructing the first identifier.

[0901] 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.

[0902] As an example, the advantages of the above method include reduced RS overhead and reduced feedback latency.

[0903] 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.

[0904] As an example, the channel information in this application includes beam information.

[0905] As one embodiment, 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.

[0906] As an example, the advantages of the above method include reducing beam feedback delay and improving the real-time performance of beam acquisition.

[0907] 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.

[0908] 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.

[0909] Examples 11A-11B

[0910] Examples 11A-11B illustrate, respectively, an AI-based schematic diagram of the target channel information generation method according to an embodiment of this application; as shown in Figures 11A-11B. In Figure 11A, resources #1, ..., resource #J1 are resources in a first resource set; resources #1, ..., resource #J2 are resources in a second resource set. In Figure 11B, information blocks #1, ..., information blocks #N are N information blocks; time units #1, ..., time units #N are N time units.

[0911] In embodiment 11A, the generation of the target channel information is based on AI and includes: the target channel information indicates at least one resource in a second resource set, the second resource set including resources that do not belong to a first resource set; the first resource set is used for the measurement of the target channel information, the first resource set including one or more RS resources.

[0912] In Example 11B, the generation method of the target channel information based on AI includes: the target channel information includes N information blocks, and each of the N information blocks includes channel information for N time units, where N is a positive integer greater than 1.

[0913] As one embodiment, the first configuration information block indicates a first resource set, the first resource set being used for the measurement of the target channel information, the target channel information indicating at least one resource in a second resource set, the second resource set including resources not belonging to the first resource set, and the target channel information including at least RSRP.

[0914] As an example, the target channel information is generated using AI, and the first node is not required to measure the second resource set.

[0915] As one example, the target channel information is generated using AI, with the first resource set used for measurement and the second resource set used for prediction.

[0916] As one example, the target channel information is generated using AI, with the first resource set used for measurement and the second resource set used for prediction.

[0917] As an example, the target channel information is generated based on AI, and only the first resource set is used for measurement, between the first resource set and the second resource set.

[0918] 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.

[0919] As one embodiment, the first resource set being used for measurement only in the first resource set and the second resource set includes: the first resource set being used for measurement by the first node, and the first node not being required to measure some or all of the resources in the second resource set.

[0920] As one embodiment, the first node not being required to measure the second resource set includes: the first node not measuring some or all of the resources in the second resource set.

[0921] As one embodiment, the first node not being required to measure the second resource set includes: whether the first node measures some or all of the resources in the second resource set is implementation-related or determined by the first node itself.

[0922] As one embodiment, the second resource set includes the first resource set and resources outside the first resource set.

[0923] 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.

[0924] 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.

[0925] 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.

[0926] As one embodiment, the second resource set includes resources that do not belong to the first resource set.

[0927] As one embodiment, the second resource set includes antenna ports that do not belong to the first resource set.

[0928] 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.

[0929] As one embodiment, the second resource set includes one or more DFT vectors; the target channel information indicates at least one DFT vector in the second resource set.

[0930] As one embodiment, the second resource set includes one or more DFT codebooks; the target channel information indicates at least one codebook in the second resource set.

[0931] As one embodiment, the second resource set includes one or more antenna ports; the target channel information indicates at least one antenna port in the second resource set.

[0932] As one embodiment, the second resource set includes at least one RS resource; the target channel information indicates at least one RS resource in the second resource set.

[0933] As one embodiment, the second resource set includes at least one beam; the target channel information indicates at least one beam in the second resource set.

[0934] As one embodiment, the second resource set includes one or more beams; the target channel information indicates at least one beam in the second resource set.

[0935] As one embodiment, the second resource set includes one or more vectors; the target channel information indicates at least one vector in the second resource set.

[0936] As one embodiment, the second resource set includes one or more matrices; the target channel information indicates at least one matrix in the second resource set.

[0937] As one example, the second resource set includes at least one training dataset.

[0938] As an example, the second resource set is used to train an AI model.

[0939] 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.

[0940] 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.

[0941] 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.

[0942] 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.

[0943] 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.

[0944] As one embodiment, the second resource set includes one or more RS resources.

[0945] As one embodiment, the second resource set includes one or more downlink RS resources.

[0946] 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.

[0947] As an example, the first configuration information block indicates at least one resource configuration, and the at least one resource configuration indicates the second resource set.

[0948] As an example, the first configuration information block includes at least one resource configuration, which indicates the second resource set.

[0949] As one embodiment, the first configuration information block indicates at least one resource configuration, and the at least one resource configuration indicates the first resource set and the second resource set.

[0950] As one embodiment, the first configuration information block includes at least one resource configuration, the at least one resource configuration indicating the first resource set and the second resource set.

[0951] As an example, the first configuration information block indicates a resource configuration, wherein the resource configuration indicates the first resource set and the second resource set.

[0952] As an example, the first configuration information block indicates two resource configurations, which respectively indicate the first resource set and the second resource set.

[0953] As one embodiment, the first configuration information block indicates the configuration information of the second resource set.

[0954] As one embodiment, the first configuration information block indicates the identifier of the second resource set.

[0955] As one embodiment, the first configuration information block is used to indicate the second resource set from the reference resource set.

[0956] As one embodiment, the first configuration information block indicates a first identifier, and the second resource set depends on the first identifier.

[0957] As one embodiment, the second resource set depends on the first identifier, which is used to identify the second resource set.

[0958] 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.

[0959] As one embodiment, the second resource set depends on the first identifier, which includes: the first identifier being used to identify a reference resource set, the reference resource set including the second resource set, and the first configuration information block being used to indicate the second resource set from the reference resource set.

[0960] As one embodiment, the information outside the first configuration information block indicates the second resource set.

[0961] As one embodiment, the information indicating the second resource set, in addition to the first configuration information block, includes higher-level parameters.

[0962] As an example, the information indicating the second resource set in addition to the first configuration information block includes RRC parameters.

[0963] As one embodiment, the information indicating the second resource set, other than the first configuration information block, includes part or all of an RRC IE domain.

[0964] As an example, the information indicating the second resource set in addition to the first configuration information block includes MAC CE.

[0965] As one embodiment, the information indicating the second resource set in addition to the first configuration information block includes DCI (downlink control information).

[0966] As an example, any one of the N information blocks indicates at least one RS resource in the first resource set.

[0967] As an example, any one of the N information blocks 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.

[0968] As one embodiment, the second resource set includes one or more DFT vectors; any one of the N information blocks indicates at least one resource in the second resource set, including: any one of the N information blocks indicates at least one DFT vector in the second resource set.

[0969] As one embodiment, the second resource set includes one or more DFT codebooks; any one of the N information blocks indicates at least one resource in the second resource set, including: any one of the N information blocks indicates at least one codebook in the second resource set.

[0970] As one embodiment, the second resource set includes one or more antenna ports; any one of the N information blocks indicates at least one resource in the second resource set, including: any one of the N information blocks indicates at least one antenna port in the second resource set.

[0971] As one embodiment, the target channel information includes multiple information blocks, and the number of information blocks included in the target channel information is not less than N.

[0972] As an example, the number of information blocks included in the target channel information is equal to N.

[0973] As an example, the number of information blocks included in the target channel information is greater than N.

[0974] As one embodiment, the target channel information includes multiple information blocks, and the multiple information blocks included in the target channel information include the N information blocks.

[0975] As one example, the N time units are mutually orthogonal.

[0976] As one example, the N time units are all different.

[0977] As an example, two time units overlap among the N time units.

[0978] As an example, any one of the N time units includes a slot.

[0979] As an example, any one of the N time units includes one or more time slots.

[0980] As an example, any one of the N time units includes a subframe.

[0981] As an example, any one of the N time units includes one or more subframes.

[0982] As an example, any one of the N time units includes multiple consecutive symbols.

[0983] As an example, at least one of the N time units is not earlier than the time domain resources occupied by the second physical channel.

[0984] As an example, at least one of the N time units is later than the time domain resources occupied by the second physical channel.

[0985] As an example, the N time units are consecutive.

[0986] As an example, the N time units are periodic.

[0987] As an example, the N time units are not consecutive.

[0988] As an example, the N time units are equally spaced.

[0989] 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.

[0990] As an example, the N time units are neither earlier nor later than the CSI reference resource.

[0991] As an example, the N time units are neither earlier nor later than the time domain resources occupied by the second physical channel.

[0992] As an example, the N time units are neither earlier nor later than the time unit to which the second physical channel belongs in the time domain.

[0993] As an example, a time unit includes a time slot.

[0994] As an example, a time unit includes a subframe.

[0995] As an example, a time unit includes multiple consecutive symbols.

[0996] As an example, any one of the N time units comprises a period of time.

[0997] As an example, the N time units have the same duration.

[0998] As an example, there are two time units among the N time units that have different durations.

[0999] As an example, the given information block is any one of the N information blocks, the given information block includes channel information of a given time unit, and the given time unit is a time unit that corresponds to the given information block among the N time units.

[1000] As an example, the target channel information includes CSI.

[1001] As an example, the N information blocks each include predicted channel information for N time units.

[1002] As an example, the N information blocks each include predicted beam information for N time units.

[1003] As an example, any one of the N information blocks indicates at least one resource in the first resource set.

[1004] As an example, the first resource set includes at least one RS resource; any one of the N information blocks indicates at least one RS resource in the first resource set.

[1005] As an example, the N information blocks each include N time units of compressed CSI.

[1006] As an example, the target channel information also indicates at least one of the N or the N time units.

[1007] As an example, the target channel information also indicates which of the N time units are in a first time unit set, which includes multiple time units.

[1008] As an example, the target channel information also indicates the position of the N time units in a first time unit set, which includes multiple time units.

[1009] As an example, the target channel information also indicates the index of the N time units.

[1010] As an example, one information block in the target channel information indicates the N.

[1011] In the above method, at least one of the N or N time units is determined by the first node and reported to the sender of the first configuration information block, giving the first node sufficient freedom to adapt to various different scenarios and terminals, with good adaptability and flexibility, improving the performance of CSI reporting, more accurate reporting, and lower overhead.

[1012] As an example, the first node determines the N time units as time units with an interval of Q time units in a first time unit set, the first time unit set including more than N time units, where Q is a positive integer; the target channel information also indicates the Q.

[1013] Generally, how the first node determines the N or at least one of the N time units is determined by the hardware manufacturer. Some non-limiting implementation methods are described below:

[1014] As an example, the first node determines the N time units as time units with an interval of Q time units in the first time unit set, where Q is a positive integer; the Q is determined by the first node based on at least one of the following: channel changes, channel time correlation, or moving speed.

[1015] As an example, the first node determines the N time units based on the changes in the channel in the first time unit set.

[1016] As an example, the first node determines the N time units based on the temporal correlation of the channels in the first time unit set.

[1017] As an example, the first node determines the N time units as time units where the channel changes rapidly (e.g., changes greater than a threshold).

[1018] As an example, the first node determines the N time units based on its moving speed.

[1019] As an example, the first node determines the N time units as time units with low time correlation (e.g., below a threshold).

[1020] Example 12

[1021] Example 12 illustrates a schematic diagram of whether the generation method of the first condition-dependent target channel information according to an embodiment of this application is based on AI; as shown in Figure 12.

[1022] In Example 12, the first condition includes at least one sub-condition, and the number of sub-conditions in the first condition depends on whether the target channel information is generated based on AI.

[1023] As an example, the first condition includes at least one sub-condition, the first sub-condition including that the first symbol is not earlier than the first reference symbol, the first sub-condition being a sub-condition of the first condition; there exists a sub-condition other than the first sub-condition that belongs to the first condition only when the generation method of the target channel information is based on AI.

[1024] As an example, the first condition includes at least one sub-condition, the first sub-condition including that the first symbol is not earlier than the first reference symbol, the first sub-condition being a sub-condition of the first condition; there exists a sub-condition other than the first sub-condition that belongs to the first condition only if the generation method of the target channel information is not based on AI.

[1025] As an example, when the target channel information is generated based on AI, the number of sub-conditions in the first condition is a first positive integer; when the target channel information is not generated based on AI, the number of sub-conditions in the first condition is a second positive integer; the first positive integer is different from the second positive integer.

[1026] As an example, when the target channel information is generated based on AI, the number of sub-conditions in the first condition is a first positive integer; when the target channel information is not generated based on AI, the number of sub-conditions in the first condition is a second positive integer; the first positive integer is less than the second positive integer.

[1027] As an example, when the target channel information is generated based on AI, the number of sub-conditions in the first condition is a first positive integer; when the target channel information is not generated based on AI, the number of sub-conditions in the first condition is a second positive integer; the first positive integer is greater than the second positive integer.

[1028] As an example, when the target channel information is generated based on AI, the number of sub-conditions in the first condition is a first positive integer; when the target channel information is not generated based on AI, the number of sub-conditions in the first condition is 2; and the first positive integer is not 2.

[1029] As an example, the first condition includes at least one sub-condition; the first condition is satisfied when all sub-conditions of the first condition are satisfied; the first condition is not satisfied when one sub-condition of the first condition is not satisfied.

[1030] As an example, the first condition includes at least one sub-condition; the first condition is satisfied when one of the sub-conditions is satisfied; the first condition is not satisfied when none of the sub-conditions are satisfied.

[1031] Example 13

[1032] Example 13 illustrates a schematic diagram of whether the generation method of the first condition-dependent target channel information according to another embodiment of this application is based on AI; as shown in Figure 13.

[1033] In embodiment 13, the first condition includes at least one sub-condition. The first sub-condition includes that the first symbol is not earlier than the first reference symbol, and the first sub-condition is a sub-condition of the first condition. The second sub-condition includes that the second symbol is not earlier than the second reference symbol, the second physical channel includes the second symbol in the time domain, and the second reference symbol depends on the symbol occupied by the first RS in the first resource set. Whether the first condition includes the second sub-condition depends on whether the target channel information is generated based on AI.

[1034] As an example, the second symbol is the first uplink symbol in the second physical channel used to carry the target channel information, and the second reference symbol is the next uplink symbol of the second time interval after the end of the last symbol of the first RS in the first resource set.

[1035] As one embodiment, the first symbol is the first uplink symbol in the second physical channel for carrying at least one channel information, the at least one channel information including the target channel information; the first reference symbol is the next uplink symbol after the end of the last symbol of the first physical channel, at which the CP begins; the second symbol is the first uplink symbol in the second physical channel for carrying the target channel information, and the second reference symbol is the next uplink symbol after the end of the last symbol of the first RS in the first resource set, at which the CP begins.

[1036] As one embodiment, the first information block indicates the reporting of at least one channel information on a second physical channel, the first symbol being the first uplink symbol in the second physical channel for carrying the at least one channel information, the at least one channel information including the target channel information; the first reference symbol being the next uplink symbol after the end of the last symbol of the first physical channel at which the CP begins; the second symbol being the first uplink symbol in the second physical channel for carrying the target channel information, the second reference symbol being the next uplink symbol after the end of the last symbol of the first RS in the first resource set at which the CP begins.

[1037] As an example, the second symbol is different from the first symbol.

[1038] As an example, the second symbol is the same as the first symbol.

[1039] As an example, the second symbol is the earliest symbol of the second physical channel.

[1040] As an example, the second symbol is the latest symbol of the second physical channel.

[1041] As one embodiment, the first resource set consists of one or more periodic or semi-persistent RS resources, wherein the first RS is the latest RS in time in a first timing set of the first resource set.

[1042] As an example, the generation of the target channel information depends on a measurement based on a first timing set, the first timing set including at least one transmission timing of at least one RS resource in the first resource set, the first RS being the latest RS in time in the first timing set.

[1043] As one embodiment, the first timing set includes at least one transmission timing for each RS resource in the first resource set.

[1044] As one embodiment, the first timing set includes the most recent transmission timing for each RS resource in the first resource set.

[1045] As an example, the first timing set includes at least one transmission timing for each RS resource in the first resource set no later than the CSI reference resource.

[1046] As one embodiment, the first timing set includes the transmission timing of each RS resource in the first resource set that is triggered by the first information block.

[1047] As an example, the first resource set consists of one or more aperiodic RS resources, wherein the first RS is the latest RS in time in the first resource set.

[1048] As an example, the first resource set consists of one or more aperiodic RS resources, wherein the first RS is the latest RS in time in the first resource set triggered by the first information block.

[1049] As an example, the first RS is the latest RS in time in the first resource set used for measuring the target channel information.

[1050] Typically, the second symbol takes into account timing advance.

[1051] Typically, both the second symbol and the second reference symbol take into account timing advance.

[1052] As an example, the second reference symbol is Z' ref (n).

[1053] As an example, the second time interval is a real number.

[1054] As an example, the second time interval is a positive integer.

[1055] As an example, the unit of the second time interval is milliseconds (ms).

[1056] As an example, the unit of the second time interval is a symbol.

[1057] As an example, the first condition includes the second sub-condition only when the generation method of the target channel information is not based on AI.

[1058] As an example, the first condition includes the second sub-condition only if the target channel information is not generated in an AI-based manner and the first resource set consists of one or more aperiodic RS resources.

[1059] As an example, when the target channel information is not generated in an AI-based manner and the first resource set consists of one or more periodic or semi-persistent RS resources, the first condition does not include the second sub-condition.

[1060] As an example, when the target channel information is generated based on AI, the first condition does not include the second sub-condition.

[1061] As an example, the advantages of the above method include that, compared with traditional channel information generation methods or methods not based on AI, the AI-based channel information generation method can appropriately relax the required conditions (such as RS measurement), reduce reporting latency, and report more timely or more accurate channel information.

[1062] Example 14

[1063] Example 14 illustrates a schematic diagram of whether the generation method of the first condition-dependent target channel information according to another embodiment of this application is based on AI; as shown in Figure 14.

[1064] In embodiment 14, the first condition includes a first sub-condition and a second sub-condition. The first sub-condition includes that the first symbol is not earlier than the first reference symbol. The second sub-condition includes that the second symbol is not earlier than the second reference symbol. The second physical channel includes the second symbol in the time domain. The second reference symbol depends on the symbol occupied by the first RS in the first resource set. At least one of the second symbol or the second reference symbol depends on whether the generation method of the target channel information is based on AI.

[1065] As one embodiment, the second symbol is which symbol in the second physical channel depends on whether the generation method of the target channel information is based on AI.

[1066] As one embodiment, whether the second symbol is the third reference symbol in the second physical channel depends on whether the target channel information is generated based on AI; the second symbol is the third reference symbol in the second physical channel only when the target channel information is not generated based on AI.

[1067] As an example, when the target channel information is generated based on AI, the second symbol is a symbol other than the third reference symbol in the second physical channel; when the target channel information is not generated based on AI, the second symbol is the third reference symbol in the second physical channel.

[1068] As an example, when the target channel information is generated based on AI, the second symbol is the earliest symbol in the second physical channel; when the target channel information is not generated based on AI, the second symbol is the third reference symbol in the second physical channel, and the third reference symbol is the first uplink symbol in the second physical channel used to carry the target channel information.

[1069] As an example, when the target channel information is generated based on AI, the second symbol is the latest symbol in the second physical channel; when the target channel information is not generated based on AI, the second symbol is the third reference symbol in the second physical channel, and the third reference symbol is the first uplink symbol in the second physical channel used to carry the target channel information.

[1070] As an example, when the target channel information is generated based on AI, the second symbol is the first symbol; when the target channel information is not generated based on AI, the second symbol is the third reference symbol in the second physical channel, and the third reference symbol is the first uplink symbol in the second physical channel used to carry the target channel information.

[1071] As an example, when the target channel information is generated based on AI, the second symbol is the first uplink symbol in the second physical channel used to carry the at least one channel information, and the at least one channel information includes the target channel information; when the target channel information is not generated based on AI, the second symbol is the third reference symbol in the second physical channel, and the third reference symbol is the first uplink symbol in the second physical channel used to carry the target channel information.

[1072] As an example, when the target channel information is generated based on AI, the second symbol is the first uplink symbol in the second physical channel used to carry the at least one channel information, the at least one channel information including the target channel information, and the first information block indicates the reporting of the at least one channel information on the second physical channel; when the target channel information is not generated based on AI, the second symbol is the third reference symbol in the second physical channel, the third reference symbol being the first uplink symbol in the second physical channel used to carry the target channel information.

[1073] As an example, the third reference symbol is the earliest symbol in the second physical channel.

[1074] As an example, the third reference symbol is the latest symbol in the second physical channel.

[1075] As an example, the third reference symbol is the first symbol.

[1076] As an example, the third reference symbol is different from the first symbol.

[1077] As an example, the third reference symbol is the first uplink symbol in the second physical channel used to carry the target channel information.

[1078] As an example, the second reference symbol depends on which symbol of the first RS depends on whether the generation method of the target channel information is based on AI.

[1079] As an example, when the target channel information is generated based on AI, the second reference symbol depends on the earliest symbol of the first RS; when the target channel information is not generated based on AI, the second reference symbol depends on the last symbol of the first RS.

[1080] As an example, when the target channel information is generated based on AI, the second reference symbol is the next uplink symbol in the third time interval after the end of the earliest symbol of the first RS in the first resource set; when the target channel information is not generated based on AI, the second reference symbol is the next uplink symbol in the second time interval after the end of the last symbol of the first RS in the first resource set.

[1081] As an example, the third time interval is a real number.

[1082] As an example, the third time interval is a positive integer.

[1083] As an example, the unit of the third time interval is milliseconds (ms).

[1084] As an example, the unit of the third time interval is a symbol.

[1085] As an example, the first RS that the second reference symbol depends on is which RS in the first resource set depends on whether the generation method of the target channel information is based on AI.

[1086] Example 15

[1087] Example 15 illustrates whether the generation method of the second reference symbol depending on the target channel information according to an embodiment of this application is based on AI; as shown in Figure 15.

[1088] In embodiment 15, the second reference symbol depends on the symbol occupied by the first RS in the first resource set, and the first RS is which RS in the first resource set depends on whether the target channel information is generated based on AI.

[1089] As an example, whether the first RS is the latest RS in time in the first timing set of the first resource set depends on whether the target channel information is generated based on AI; the first RS is the latest RS in time in the first timing set of the first resource set only when the target channel information is not generated based on AI.

[1090] As an example, when the target channel information is not generated based on AI, the first RS is the latest RS in time in the first timing set of the first resource set; when the target channel information is not generated based on AI, the first RS is the earliest RS in time in the first timing set of the first resource set.

[1091] As an example, when the target channel information is not generated based on AI, the first RS is the latest RS in time in the first timing set of the first resource set; when the target channel information is not generated based on AI, the first RS is the earliest RS in time in time in the first timing set of the first resource set used for channel measurement.

[1092] As one embodiment, the generation of the target channel information depends on a measurement based on a first timing set, the first timing set including at least one transmission timing of at least one RS resource in the first resource set; whether the first RS is the latest RS in time in the first timing set depends on whether the generation method of the target channel information is based on AI; the first RS is the latest RS in time in the first timing set only when the generation method of the target channel information is not based on AI.

[1093] As an example, when the target channel information is not generated based on AI, the first RS is the latest RS in time in the first timing set; when the target channel information is not generated based on AI, the first RS is the earliest RS in time in the first timing set.

[1094] As an example, when the target channel information is not generated based on AI, the first RS is the latest RS in time in the first timing set; when the target channel information is not generated based on AI, the first RS is the earliest RS in time in the first timing set used for channel measurement.

[1095] As one embodiment, the first timing set includes at least one transmission timing for each RS resource in the first resource set.

[1096] As one embodiment, the first timing set includes the most recent transmission timing for each RS resource in the first resource set.

[1097] As an example, the first timing set includes at least one transmission timing for each RS resource in the first resource set no later than the CSI reference resource.

[1098] As one embodiment, the first timing set includes the transmission timing of each RS resource in the first resource set that is triggered by the first information block.

[1099] As an example, the first resource set consists of one or more aperiodic RS resources. Whether the first RS is the latest RS in time in the first resource set depends on whether the target channel information is generated based on AI. The first RS is the latest RS in time in the first resource set only when the target channel information is not generated based on AI.

[1100] As an example, when the target channel information is not generated based on AI, the first RS is the latest RS in time in the first resource set; when the target channel information is not generated based on AI, the first RS is the earliest RS in time in the first resource set.

[1101] As an example, when the target channel information is not generated based on AI, the first RS is the latest RS in time in the first resource set; when the target channel information is not generated based on AI, the first RS is the earliest RS in time in the first resource set used for channel measurement.

[1102] As an example, the first resource set consists of one or more aperiodic RS resources. Whether the first RS is the latest RS in the first resource set triggered by the first information block depends on whether the target channel information is generated based on AI. The first RS is the latest RS in the first resource set triggered by the first information block only when the target channel information is not generated based on AI.

[1103] As an example, when the target channel information is not generated based on AI, the first RS is the latest RS in time in the first resource set triggered by the first information block; when the target channel information is not generated based on AI, the first RS is the earliest RS in time in the first resource set triggered by the first information block.

[1104] As an example, when the target channel information is not generated based on AI, the first RS is the latest RS in time in the first resource set triggered by the first information block; when the target channel information is not generated based on AI, the first RS is the earliest RS in time in the first resource set used for channel measurement triggered by the first information block.

[1105] As an example, whether the first RS is the latest RS in time for measuring the target channel information in the first resource set depends on whether the target channel information is generated based on AI; the first RS is the latest RS in time for measuring the target channel information in the first resource set only when the target channel information is not generated based on AI.

[1106] As an example, when the target channel information is not generated based on AI, the first RS is the latest RS in time in the first resource set used for measuring the target channel information; when the target channel information is not generated based on AI, the first RS is the earliest RS in time in the first resource set used for measuring the target channel information.

[1107] As an example, when the target channel information is not generated based on AI, the first RS is the latest RS in time for measuring the target channel information in the first resource set; when the target channel information is not generated based on AI, the first RS is the earliest RS in time for channel measurement of the target channel information in the first resource set.

[1108] As an example, the advantages of the above method include that, compared with traditional channel information generation methods or methods not based on AI, the AI-based channel information generation method can appropriately relax the required conditions (such as RS measurement), reduce reporting latency, and report more timely or more accurate channel information.

[1109] As an example, the advantages of the above method include that different channel information generation methods can meet different conditions, which makes it more flexible and applicable to different application scenarios.

[1110] Example 16

[1111] Example 16 illustrates a schematic diagram of a processing system based on artificial intelligence or machine learning according to an embodiment of this application; as shown in Figure 16. Figure 16(a) includes a third processor, a fourth processor, and a fifth processor, and Figure 16(b) includes a third processor, a fourth processor, a fifth processor, and a sixth processor.

[1112] In Example 16(a), the third processor sends a first dataset to the fourth processor and a second dataset to the fifth processor; the fourth processor generates a target first-type parameter set based on the first dataset, and sends the generated target first-type parameter set to the fifth processor; the fifth processor processes the second dataset using the target first-type parameter set to obtain a first-type output. In Figure 16(a), the first-type feedback is optional.

[1113] In Example 16(b), the third processor sends a first dataset to the fourth processor and a second dataset to the fifth processor; the fourth processor generates a target first-type parameter set based on the first dataset, and sends the generated target first-type parameter set to the fifth processor; the fifth processor processes the second dataset using the target first-type parameter set to obtain a first-type output, and sends the first-type output to the sixth processor. In Figure 16(b), the first-type feedback and the second-type feedback are optional.

[1114] As an example, in Figure 16(a), the fifth processor sends the first type of output to the second node in this application.

[1115] As an example, Figure 16(a) uses a single-side AI model 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.

[1116] As an example, Figure 16(b) uses a two-sided AI model for CSI compression, the first operation is used to compress CSI, the second operation is used to restore CSI, the fifth processor performs the first operation, and the sixth processor includes the second operation.

[1117] As an example, the AI ​​includes machine learning (ML) inference.

[1118] As an example, the fifth processor performs the first operation.

[1119] As one embodiment, the sixth processor includes the second operation.

[1120] 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.

[1121] 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.

[1122] 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.

[1123] As one embodiment, the fifth processor belongs to the first node, and the sixth processor belongs to the second node.

[1124] As an example, the target channel information belongs to the first type of output.

[1125] As an example, the second dataset includes the input of the first operation.

[1126] As an example, the second dataset includes information obtained based on the first configuration and the M1 configurations.

[1127] As an example, the first dataset includes training data.

[1128] As an example, the fourth processor belongs to the producer of the first operation.

[1129] As one embodiment, the fourth processor includes an AI training producer.

[1130] As one embodiment, the fourth processor includes an AI training function.

[1131] 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.

[1132] As an example, the fourth processor belongs to the first node.

[1133] The above embodiments avoid passing the first dataset to the second node.

[1134] As one example, the fourth processor belongs to the second node.

[1135] The above embodiments support joint training and optimize system performance.

[1136] As an example, the fourth processor belongs to the core network.

[1137] The above embodiments support network-wide joint training, further optimizing system performance.

[1138] As an example, the second dataset includes inference data.

[1139] As one embodiment, the fifth processor includes an AI inference producer.

[1140] As one embodiment, the fifth processor includes an AI inference function.

[1141] As an example, the fifth processor belongs to the first node.

[1142] 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.

[1143] As an example, the first operation is described by the target first type of parameter group.

[1144] As an example, the target first type of parameter group is used to construct the first operation.

[1145] As one embodiment, the fifth processor includes the second operation.

[1146] 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.

[1147] As a sub-example of the above embodiment, the generation of the recovery dataset adopts a similar operation to the second one.

[1148] 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.

[1149] 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.

[1150] 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.

[1151] 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.

[1152] Example 17

[1153] Example 17 illustrates a schematic diagram based on artificial intelligence or machine learning according to an embodiment of this application; as shown in Figure 17. Figure 17 includes a third operation, a fourth operation, a fifth operation, a sixth operation, and a seventh operation. In Example 17, the third and fourth operations belong to a first stage, the fifth operation belongs to a second stage, the sixth operation belongs to a third stage, and the seventh operation belongs to a fourth stage. In Figure 17, the lines with arrows indicate the sequence of processes.

[1154] 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.

[1155] 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.

[1156] As an example, the first stage includes AI model training.

[1157] As an example, the first stage includes AI model training and AI testing.

[1158] As an example, the AI ​​includes machine learning (ML) inference.

[1159] As an example, the AI ​​model training includes initial training and re-training of one or a group of AI entities.

[1160] As an example, the training of the AI ​​model depends on training data.

[1161] As an example, the AI ​​model training includes AI entity validation.

[1162] As an example, the AI ​​entity verification is used to evaluate the performance of the AI ​​entity.

[1163] As an example, the AI ​​entity verification relies on verification data.

[1164] As an example, if the AI ​​entity verification results do not meet expectations, the AI ​​model will be retrained.

[1165] As an example, the AI ​​testing includes testing the validated AI entity to estimate the performance of the trained AI model.

[1166] 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.

[1167] As an example, the AI ​​test relies on test data.

[1168] As an example, the second stage includes AI simulation, which performs inference of AI entities in a simulation environment.

[1169] As an example, the AI ​​simulation estimates the performance of AI entity inference in a simulation environment before using the AI ​​entity.

[1170] As one embodiment, the second stage is optional.

[1171] As an example, the third stage includes AI entity loading, which is to obtain trained AI entities to obtain the desired AI inference capabilities.

[1172] As an example, the third stage is optional.

[1173] As an example, the third stage is no longer needed when the training and inference functions are co-located.

[1174] As an example, the fourth stage includes AI inference.

[1175] As an example, the seventh operation includes the first operation.

[1176] As an example, the seventh operation includes the second operation.

[1177] Example 18

[1178] Example 18 illustrates a structural block diagram of a processing apparatus for a first node according to an embodiment of this application; as shown in Figure 18. In Figure 18, the processing apparatus 1800 in the first node includes a first receiver 1801 and a first processor 1802.

[1179] As one example, the first node is a user equipment.

[1180] As an example, the first node is a relay node device.

[1181] As an example, the first receiver 1801 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}.

[1182] As an example, the first processor 1802 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}.

[1183] The first receiver 1801 receives a first information block on the first physical channel; the first information block indicates the reporting of target channel information on the second physical channel.

[1184] The first processor 1802 transmits the target channel information on the second physical channel only when the first condition is met;

[1185] In embodiment 18, the first condition includes that the first symbol is not earlier than the first reference symbol, the second physical channel includes the first symbol in the time domain, the first reference symbol depends on the symbol occupied by the first physical channel, and the first condition depends on whether the generation method of the target channel information is based on AI.

[1186] As an example, the first condition includes at least one sub-condition, and the number of sub-conditions in the first condition depends on whether the target channel information is generated based on AI.

[1187] As an example, the first condition includes at least one sub-condition. The first sub-condition includes that the first symbol is not earlier than the first reference symbol, and the first sub-condition is a sub-condition of the first condition. The second sub-condition includes that the second symbol is not earlier than the second reference symbol, the second physical channel includes the second symbol in the time domain, and the second reference symbol depends on the symbol occupied by the first RS in the first resource set. Whether the first condition includes the second sub-condition depends on whether the target channel information is generated based on AI.

[1188] As an example, the first condition includes a first sub-condition and a second sub-condition. The first sub-condition includes that the first symbol is not earlier than the first reference symbol. The second sub-condition includes that the second symbol is not earlier than the second reference symbol. The second physical channel includes the second symbol in the time domain. The second reference symbol depends on the symbol occupied by the first RS in the first resource set. At least one of the second symbol or the second reference symbol depends on whether the generation method of the target channel information is based on AI.

[1189] As one embodiment, the second reference symbol depends on the symbol occupied by the first RS in the first resource set, and which RS in the first resource set the first RS is depends on whether the target channel information is generated based on AI.

[1190] As one embodiment, the first receiver 1801 receives a first configuration information block;

[1191] Wherein, the first configuration information block indicates a first resource set, the first resource set including one or more RS resources; the first resource set is used for the measurement of the target channel information.

[1192] As one embodiment, the generation of the target channel information is based on AI and includes: the target channel information indicates at least one resource in a second resource set, the second resource set including resources that do not belong to a first resource set; the first resource set is used for the measurement of the target channel information, the first resource set including one or more RS resources.

[1193] As one embodiment, the method of generating the target channel information based on AI includes: the method of generating the target channel information is associated with a first type of identifier.

[1194] As an example, the generation method of the target channel information based on AI includes: the target channel information includes N information blocks, and the N information blocks each include channel information for N time units, where N is a positive integer greater than 1.

[1195] As one embodiment, the generation of the target channel information is based on AI and includes: the generation of the target channel information includes the first node performing a first operation, the input of the first operation depending on the measurement of a first resource set, the first resource set including one or more RS resources, and the target channel information depending on the output of the first operation.

[1196] As an example, the output of the first operation includes a first CSI, the target channel information carries the first CSI, and the first CSI is used as input to the second operation by the target receiver of the target channel information to generate a second CSI.

[1197] As an example, the first receiver 1801 receives signals in the first resource set.

[1198] As an example, the first receiver 1801 receives a reference signal in the first resource set.

[1199] As an example, the first operation is based on training or AI.

[1200] As an example, the first operation requires deployment.

[1201] As an example, the first operation is obtained by loading.

[1202] As one embodiment, the first receiver receives signals from the second source set.

[1203] As one embodiment, the first receiver receives a reference signal in the second source set, which includes one or more RS resources.

[1204] As an example, the first operation is associated with the first identifier.

[1205] As one embodiment, the first configuration information block indicates a first identifier.

[1206] As an example, the information block other than the first configuration information block indicates the first identifier.

[1207] As an example, the first processor 1802 deploys the first operation.

[1208] Example 19

[1209] Example 19 illustrates a structural block diagram of a processing apparatus for a second node according to an embodiment of the present application; as shown in Figure 19. In Figure 19, the processing apparatus 1900 in the second node includes a second processor 1901.

[1210] In one embodiment, the second node is a base station device.

[1211] In one embodiment, the second node is a user equipment.

[1212] As one embodiment, the second node is a relay node device.

[1213] As an example, the second processor 1901 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}.

[1214] The second processor 1901 transmits a first information block on the first physical channel; the first information block indicates the reporting of target channel information on the second physical channel.

[1215] In embodiment 19, the target receiver of the first information block transmits the target channel information on the second physical channel only when the first condition is met; the first condition includes that the first symbol is not earlier than the first reference symbol, the second physical channel includes the first symbol in the time domain, and the first reference symbol depends on the symbols occupied by the first physical channel; the first condition depends on whether the generation method of the target channel information is based on AI.

[1216] As an example, the second processor 1901 receives the target channel information on the second physical channel only when the first condition is met.

[1217] As one embodiment, whether the second processor 1901 receives the target channel information on the second physical channel is determined by the second node itself or is implementation-related.

[1218] As an example, the first condition includes at least one sub-condition, and the number of sub-conditions in the first condition depends on whether the target channel information is generated based on AI.

[1219] As an example, the first condition includes at least one sub-condition. The first sub-condition includes that the first symbol is not earlier than the first reference symbol, and the first sub-condition is a sub-condition of the first condition. The second sub-condition includes that the second symbol is not earlier than the second reference symbol, the second physical channel includes the second symbol in the time domain, and the second reference symbol depends on the symbol occupied by the first RS in the first resource set. Whether the first condition includes the second sub-condition depends on whether the target channel information is generated based on AI.

[1220] As an example, the first condition includes a first sub-condition and a second sub-condition. The first sub-condition includes that the first symbol is not earlier than the first reference symbol. The second sub-condition includes that the second symbol is not earlier than the second reference symbol. The second physical channel includes the second symbol in the time domain. The second reference symbol depends on the symbol occupied by the first RS in the first resource set. At least one of the second symbol or the second reference symbol depends on whether the generation method of the target channel information is based on AI.

[1221] As one embodiment, the second reference symbol depends on the symbol occupied by the first RS in the first resource set, and which RS in the first resource set the first RS is depends on whether the target channel information is generated based on AI.

[1222] As one embodiment, the second processor 1901 sends a first configuration information block;

[1223] Wherein, the first configuration information block indicates a first resource set, the first resource set including one or more RS resources; the first resource set is used for the measurement of the target channel information.

[1224] As one embodiment, the generation of the target channel information is based on AI and includes: the target channel information indicates at least one resource in a second resource set, the second resource set including resources that do not belong to a first resource set; the first resource set is used for the measurement of the target channel information, the first resource set including one or more RS resources.

[1225] As one embodiment, the method of generating the target channel information based on AI includes: the method of generating the target channel information is associated with a first type of identifier.

[1226] As an example, the generation method of the target channel information based on AI includes: the target channel information includes N information blocks, and the N information blocks each include channel information for N time units, where N is a positive integer greater than 1.

[1227] As one embodiment, the generation of the target channel information is based on AI and includes: the generation of the target channel information includes the target receiver of the first information block performing a first operation, the input of the first operation depending on a measurement based on a first resource set, the first resource set including one or more RS resources, and the target channel information depending on the output of the first operation.

[1228] As one embodiment, the second processor 1901 performs a second operation; wherein the output of the first operation includes a first CSI, the target channel information carries the first CSI, and the first CSI is used as input to the second operation to generate a second CSI.

[1229] As one embodiment, the second processor 1901 sends a signal in the first resource set.

[1230] As one embodiment, the second processor 1901 sends a reference signal in the first resource set.

[1231] As an example, the first operation is based on training or AI.

[1232] As an example, the first operation requires deployment.

[1233] As an example, the first operation is obtained by loading.

[1234] As one embodiment, the second processor 1901 sends a signal in the second resource set.

[1235] As one embodiment, the second processor 1901 transmits a reference signal in the second resource set, which includes one or more RS resources.

[1236] As an example, the second processor 1901 does not send signals in the first resource set.

[1237] As an example, the second processor 1901 does not send reference signals in the second resource set.

[1238] As an example, the first operation is associated with a first identifier, which is a first type of identifier.

[1239] As one embodiment, the first configuration information block indicates a first identifier.

[1240] As an example, the information block other than the first configuration information block indicates the first identifier.

[1241] As an example, the second processor 1901 deploys the second operation.

[1242] As one example, the second operation is based on training or AI.

[1243] As an example, the second operation is obtained by loading.

[1244] Example 20

[1245] Example 20 illustrates a schematic diagram of a first CSI and target channel information according to an embodiment of this application; as shown in Figure 20. In Example 20, the output of the first operation includes a first CSI, which is used to generate the target channel information.

[1246] As an example, the advantages of the above method include improved CSI reporting performance by leveraging the advantages of the first operation, including more accurate reporting and / or lower overhead.

[1247] As one embodiment, the target channel information includes the first CSI.

[1248] As an example, the first CSI is post-processed and used to generate the target channel information.

[1249] As one embodiment, the target channel information includes the first CSI after post-processing.

[1250] As an example, the target channel information carries the first CSI after post-processing.

[1251] As an example, the first CSI is truncated and / or quantized and used to generate the target channel information.

[1252] As one embodiment, the target channel information includes the first CSI after truncation and / or quantization.

[1253] As an example, the target channel information carries the first CSI after truncation and / or quantization.

[1254] As an example, the first CSI includes one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, Capability Index, and TDCP.

[1255] As an example, the first CSI includes one or more of PMI, CRI, CQI, RI, LI, SSBRI, RSRP, SINR, capability index, TDCP, predicted channel information, predicted beam information, or confidence information.

[1256] As one embodiment, the first CSI includes a channel matrix.

[1257] As one example, the first CSI includes a feature vector.

[1258] As an example, the first CSI includes a feature vector and feature values.

[1259] As an example, the first CSI includes precoded information.

[1260] As one embodiment, the first CSI includes pre-encoded information based on a non-codebook.

[1261] As an example, the first CSI is used to determine at least one precoding matrix.

[1262] As an example, the first CSI indicates at least one precoding matrix.

[1263] As an example, the precoding matrix is ​​in the spatial-frequency domain.

[1264] As an example, the precoding matrix is ​​an angular-delay domain projection.

[1265] As one embodiment, the first CSI includes information on the relative phase, amplitude, and / or coefficients between multiple antenna ports.

[1266] As an example, the first CSI includes compressed CSI.

[1267] As an example, the first CSI includes predicted / estimated CSI.

[1268] Those skilled in the art will understand that all or part of the steps in the above methods can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium, such as a read-only memory, hard disk, or optical disk. Optionally, all or part of the steps in the above embodiments can also be implemented using one or more integrated circuits. Accordingly, each module unit in the above embodiments can be implemented in hardware or in the form of software functional modules. This application is not limited to any specific combination of software and hardware. The user equipment, terminal, and UE in this application include, but are not limited to, drones, communication modules on drones, remote-controlled aircraft, aircraft, small aircraft, mobile phones, tablets, laptops, vehicle-mounted communication equipment, vehicles, RSUs, wireless sensors, internet access cards, IoT terminals, RFID terminals, NB-IoT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, internet access cards, vehicle-mounted communication equipment, low-cost mobile phones, low-cost tablets, and other wireless communication devices. The base stations or system equipment in this application include, but are not limited to, macrocell base stations, microcell base stations, small cell base stations, home base stations, relay base stations, eNBs, gNBs, TRPs (Transmitter Receiver Points), GNSS, relay satellites, satellite base stations, airborne base stations, RSUs (Road Side Units), drones, and testing equipment, such as transceivers or signaling testers that simulate some functions of a base station, and other wireless communication equipment.

[1269] 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: The first receiver receives the first information block on the first physical channel; The first information block indicates the reporting of target channel information on the second physical channel; The first processor transmits the target channel information on the second physical channel only when the first condition is met; The first condition includes that the first symbol is not earlier than the first reference symbol, the second physical channel includes the first symbol in the time domain, and the first reference symbol depends on the symbols occupied by the first physical channel; the first condition depends on whether the generation method of the target channel information is based on AI.

2. The first node according to claim 1, characterized in that, The first condition includes at least one sub-condition, and the number of sub-conditions in the first condition depends on whether the target channel information is generated based on AI.

3. The first node according to claim 1 or 2, characterized in that, The first condition includes at least one sub-condition. The first sub-condition includes that the first symbol is not earlier than the first reference symbol, and the first sub-condition is a sub-condition of the first condition. The second sub-condition includes that the second symbol is not earlier than the second reference symbol, the second physical channel includes the second symbol in the time domain, and the second reference symbol depends on the symbol occupied by the first RS in the first resource set. Whether the first condition includes the second sub-condition depends on whether the target channel information is generated based on AI.

4. The first node according to claim 1 or 2, characterized in that, The first condition includes a first sub-condition and a second sub-condition. The first sub-condition includes that the first symbol is not earlier than the first reference symbol. The second sub-condition includes that the second symbol is not earlier than the second reference symbol. The second physical channel includes the second symbol in the time domain. The second reference symbol depends on the symbol occupied by the first RS in the first resource set. At least one of the second symbol or the second reference symbol depends on whether the generation method of the target channel information is based on AI.

5. The first node according to claim 4, characterized in that, The second reference symbol depends on the symbol occupied by the first RS in the first resource set, and which RS in the first resource set the first RS is depends on whether the generation method of the target channel information is based on AI.

6. The first node according to any one of claims 1 to 5, characterized in that, include: The first receiver receives the first configuration information block; Wherein, the first configuration information block indicates a first resource set, the first resource set including one or more RS resources; the first resource set is used for the measurement of the target channel information.

7. The first node according to any one of claims 1 to 6, characterized in that, The generation method of the target channel information based on AI includes: the target channel information indicating at least one resource in a second resource set, the second resource set including resources that do not belong to a first resource set; the first resource set being used for the measurement of the target channel information, the first resource set including one or more RS resources.

8. A second node used for wireless communication, characterized in that, include: The second processor transmits the first information block on the first physical channel; The first information block indicates the reporting of target channel information on the second physical channel; Specifically, the target receiver of the first information block transmits the target channel information on the second physical channel only when the first condition is met; the first condition includes that the first symbol is not earlier than the first reference symbol, the second physical channel includes the first symbol in the time domain, and the first reference symbol depends on the symbols occupied by the first physical channel; the first condition depends on whether the generation method of the target channel information is based on AI.

9. The second node according to claim 8, characterized in that, The first condition includes at least one sub-condition, and the number of sub-conditions in the first condition depends on whether the target channel information is generated based on AI.

10. The second node according to claim 8 or 9, characterized in that, The first condition includes at least one sub-condition. The first sub-condition includes that the first symbol is not earlier than the first reference symbol, and the first sub-condition is a sub-condition of the first condition. The second sub-condition includes that the second symbol is not earlier than the second reference symbol, the second physical channel includes the second symbol in the time domain, and the second reference symbol depends on the symbol occupied by the first RS in the first resource set. Whether the first condition includes the second sub-condition depends on whether the target channel information is generated based on AI.

11. The second node according to claim 8 or 9, characterized in that, The first condition includes a first sub-condition and a second sub-condition. The first sub-condition includes that the first symbol is not earlier than the first reference symbol. The second sub-condition includes that the second symbol is not earlier than the second reference symbol. The second physical channel includes the second symbol in the time domain. The second reference symbol depends on the symbol occupied by the first RS in the first resource set. At least one of the second symbol or the second reference symbol depends on whether the generation method of the target channel information is based on AI.

12. The second node according to claim 11, characterized in that, The second reference symbol depends on the symbol occupied by the first RS in the first resource set, and which RS in the first resource set the first RS is depends on whether the generation method of the target channel information is based on AI.

13. The second node according to any one of claims 8 to 12, characterized in that, include: The second processor sends the first configuration information block; Wherein, the first configuration information block indicates a first resource set, the first resource set including one or more RS resources; the first resource set is used for the measurement of the target channel information.

14. The second node according to any one of claims 8 to 13, characterized in that, The generation method of the target channel information based on AI includes: the target channel information indicating at least one resource in a second resource set, the second resource set including resources that do not belong to a first resource set; the first resource set being used for the measurement of the target channel information, the first resource set including one or more RS resources.

15. A method used in a first node of wireless communication, characterized in that, include: Receive the first information block on the first physical channel; The first information block indicates the reporting of target channel information on the second physical channel; The target channel information is transmitted on the second physical channel only when the first condition is met; The first condition includes that the first symbol is not earlier than the first reference symbol, the second physical channel includes the first symbol in the time domain, and the first reference symbol depends on the symbols occupied by the first physical channel; the first condition depends on whether the generation method of the target channel information is based on AI.

16. The method according to claim 15, characterized in that, The first condition includes at least one sub-condition, and the number of sub-conditions in the first condition depends on whether the target channel information is generated based on AI.

17. The method according to claim 15 or 16, characterized in that, The first condition includes at least one sub-condition. The first sub-condition includes that the first symbol is not earlier than the first reference symbol, and the first sub-condition is a sub-condition of the first condition. The second sub-condition includes that the second symbol is not earlier than the second reference symbol, the second physical channel includes the second symbol in the time domain, and the second reference symbol depends on the symbol occupied by the first RS in the first resource set. Whether the first condition includes the second sub-condition depends on whether the target channel information is generated based on AI.

18. The method according to claim 15 or 16, characterized in that, The first condition includes a first sub-condition and a second sub-condition. The first sub-condition includes that the first symbol is not earlier than the first reference symbol. The second sub-condition includes that the second symbol is not earlier than the second reference symbol. The second physical channel includes the second symbol in the time domain. The second reference symbol depends on the symbol occupied by the first RS in the first resource set. At least one of the second symbol or the second reference symbol depends on whether the generation method of the target channel information is based on AI.

19. The method according to claim 18, characterized in that, The second reference symbol depends on the symbol occupied by the first RS in the first resource set, and which RS in the first resource set the first RS is depends on whether the generation method of the target channel information is based on AI.

20. The method according to any one of claims 15 to 19, characterized in that, include: Receive the first configuration information block; Wherein, the first configuration information block indicates a first resource set, the first resource set including one or more RS resources; the first resource set is used for the measurement of the target channel information.

21. The method according to any one of claims 15 to 20, characterized in that, The generation method of the target channel information based on AI includes: the target channel information indicating at least one resource in a second resource set, the second resource set including resources that do not belong to a first resource set; the first resource set being used for the measurement of the target channel information, the first resource set including one or more RS resources.

22. A method used in a second node of wireless communication, characterized in that, include: The first information block is transmitted on the first physical channel; The first information block indicates the reporting of target channel information on the second physical channel; Specifically, the target receiver of the first information block transmits the target channel information on the second physical channel only when the first condition is met; the first condition includes that the first symbol is not earlier than the first reference symbol, the second physical channel includes the first symbol in the time domain, and the first reference symbol depends on the symbols occupied by the first physical channel; the first condition depends on whether the generation method of the target channel information is based on AI.

23. The method according to claim 22, characterized in that, The first condition includes at least one sub-condition, and the number of sub-conditions in the first condition depends on whether the target channel information is generated based on AI.

24. The method according to claim 22 or 23, characterized in that, The first condition includes at least one sub-condition. The first sub-condition includes that the first symbol is not earlier than the first reference symbol, and the first sub-condition is a sub-condition of the first condition. The second sub-condition includes that the second symbol is not earlier than the second reference symbol, the second physical channel includes the second symbol in the time domain, and the second reference symbol depends on the symbol occupied by the first RS in the first resource set. Whether the first condition includes the second sub-condition depends on whether the target channel information is generated based on AI.

25. The method according to claim 22 or 23, characterized in that, The first condition includes a first sub-condition and a second sub-condition. The first sub-condition includes that the first symbol is not earlier than the first reference symbol. The second sub-condition includes that the second symbol is not earlier than the second reference symbol. The second physical channel includes the second symbol in the time domain. The second reference symbol depends on the symbol occupied by the first RS in the first resource set. At least one of the second symbol or the second reference symbol depends on whether the generation method of the target channel information is based on AI.

26. The method according to claim 25, characterized in that, The second reference symbol depends on the symbol occupied by the first RS in the first resource set, and which RS in the first resource set the first RS is depends on whether the generation method of the target channel information is based on AI.

27. The method according to any one of claims 22 to 26, characterized in that, include: Send the first configuration information block; Wherein, the first configuration information block indicates a first resource set, the first resource set including one or more RS resources; the first resource set is used for the measurement of the target channel information.

28. The method according to any one of claims 22 to 27, characterized in that, The generation method of the target channel information based on AI includes: the target channel information indicating at least one resource in a second resource set, the second resource set including resources that do not belong to a first resource set; the first resource set being used for the measurement of the target channel information, the first resource set including one or more RS resources.

Images