Method for sending channel state information, method for receiving channel state information, communication apparatus, and storage medium

Abstract

Provided are a method for sending channel state information, a method for receiving channel state information, a communication apparatus, and a storage medium. The method for sending channel state information comprises: acquiring L groups of channel state information, L being a positive integer; on the basis of the L groups of channel state information, generating a channel state information report; and sending the channel state information report.

Description

Channel state information sending and receiving method, communication device, and storage medium

[0001] This disclosure claims priority to Chinese patent application No. 202311019175.2, filed on August 11, 2023, the entire contents of which are incorporated herein by reference. Technical Field

[0002] The present disclosure relates to the field of communication technology, and in particular to a method for sending and receiving channel state information, a communication device, and a storage medium. Background Art

[0003] Currently, multi-antenna technology has been widely used in various radio communication technologies, such as the Long Term Evolution (LTE) mobile communication network of the fourth generation mobile communication technology (4G) and the New Radio (NR) mobile communication network of the fifth generation mobile communication technology (5G). It is also receiving extensive attention and research in the future sixth generation mobile communication technology (6G). In multi-antenna technology in radio communication systems, it is crucial for communication nodes to obtain accurate channel information.

[0004] Summary of the Invention

[0005] In one aspect, the present disclosure provides a method for transmitting channel state information. The method for transmitting channel state information includes:

[0006] Obtain L groups of channel state information, where L is a positive integer;

[0007] generating a channel state information report based on the L sets of channel state information;

[0008] Sending the channel state information report.

[0009] In another aspect, the present disclosure provides a method for receiving channel state information. The method for receiving channel state information includes:

[0010] A channel state information report is received, where the channel state information report is generated based on L sets of channel state information, where L is a positive integer.

[0011] In another aspect, the present disclosure provides a communication device. The communication device includes:

[0012] A receiving module, configured to obtain L groups of channel state information, where L is a positive integer;

[0013] a processing module, configured to generate a channel state information report based on the L groups of channel state information;

[0014] A sending module is used to send the channel state information report.

[0015] In another aspect, the present disclosure provides another communication device. The communication device includes:

[0016] The receiving module is configured to receive a channel state information report, where the channel state information report is generated based on L groups of channel state information, where L is a positive integer.

[0017] In another aspect, a communication device is provided, comprising: a processor and a memory, wherein the memory stores instructions executable by the processor; and when the processor is configured to execute the instructions, the communication device implements the method described in any one of the above aspects.

[0018] In yet another aspect, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and when the computer instructions are executed on a computer, the computer is caused to execute the method described in any one of the above aspects.

[0019] In yet another aspect, a computer program product comprising computer instructions is provided. When the computer instructions are run on a computer, the computer is caused to perform the method according to any one of the above aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings are used to provide a further understanding of the technical solution of the present disclosure and constitute a part of the specification. Together with the embodiments of the present disclosure, they are used to explain the technical solution of the present disclosure and do not constitute a limitation to the technical solution of the present disclosure.

[0021] FIG1 is a schematic diagram of the architecture of a communication system according to some embodiments of the present disclosure.

[0022] FIG2 is a flowchart of a method for transmitting channel state information according to some embodiments of the present disclosure.

[0023] FIG3 is a flowchart of another method for transmitting channel state information according to some embodiments of the present disclosure.

[0024] FIG4 is a flowchart of yet another method for transmitting channel state information according to some embodiments of the present disclosure.

[0025] FIG5 is a flowchart of a method for receiving channel state information according to some embodiments of the present disclosure.

[0026] FIG6 is a schematic diagram illustrating the composition of a communication device according to some embodiments of the present disclosure.

[0027] FIG7 is a schematic diagram showing the composition of another communication device according to some embodiments of the present disclosure.

[0028] FIG8 is a schematic structural diagram of a communication device according to some embodiments of the present disclosure. DETAILED DESCRIPTION

[0029] To enable those skilled in the art to better understand the technical solutions of the embodiments of the present disclosure, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments of the present disclosure, all other embodiments obtained by those of ordinary skill in the art without making any creative efforts shall fall within the scope of protection of the present disclosure.

[0030] In the description of the present disclosure, unless otherwise specified, " / " means "or", for example, A / B can mean A or B. "And / or" in this article is merely a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can mean: only A, only B, and A and B. In addition, "at least one" means one or more, and "a plurality" means two or more. Words such as "first" and "second" do not limit the quantity and execution order, and words such as "first" and "second" do not necessarily limit them to be different.

[0031] It should be noted that in this disclosure, words such as "exemplarily" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described in this disclosure as "exemplary" or "for example" should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplarily" or "for example" is intended to present the relevant concepts in a concrete manner.

[0032] Multi-antenna technologies include multiple-input-multiple-output (MIMO), joint transmission (JT), and high-frequency beamforming. In the case of high-frequency transmission, due to the high carrier frequency and high path loss, beamforming technology is required to concentrate energy toward the terminal. Beam management technology is also required. Beam management includes but is not limited to beam scanning, beam tracking, and beam recovery, where beam scanning includes transmitting-end beam scanning and / or receiving-end beam scanning. In specific implementations, advanced information processing technologies, such as artificial intelligence or other advanced linear and nonlinear information processing technologies, can be used to obtain channel state information. Examples include artificial intelligence-based channel state information estimation, artificial intelligence-based channel prediction, artificial intelligence-based channel state information compression, artificial intelligence-based channel state information decompression, and artificial intelligence-based beam prediction technology. When using advanced technologies to obtain channel state information, the size of the channel state information transmitted may vary significantly due to different uses or scenarios, different entities performing information processing, and different information processing outputs. However, the current flexibility of channel information feedback is low and cannot meet the demand for flexible transmission of channel state information.

[0033] The technical solutions provided by the embodiments of the present disclosure can be applied to various mobile communication networks, for example, new radio (NR) mobile communication networks using fifth-generation mobile communication technology (5G), future mobile communication networks (for example, including but not limited to sixth-generation mobile communication technology, 6G) or multiple communication convergence systems, etc., and the embodiments of the present disclosure are not limited to this.

[0034] The network architecture of the mobile communication network (including but not limited to 3G, 4G, 5G and future mobile communication networks) in the embodiments of the present disclosure may include network-side devices (for example, including but not limited to base stations) and receiving-side devices (for example, including but not limited to terminals). And it should be understood that, in this example, in the downlink, the first communication node (also referred to as the first communication node device) may be a base station-side device, and the second communication node (also referred to as the second communication node device) may be a terminal-side device. Of course, in the uplink, the first communication node may also be a terminal-side device, and the second communication node may also be a base station-side device. In the device-to-device communication between the two communication nodes, the first communication node and the second communication node may both be base stations or terminals. The first communication node and the second communication node may be referred to as the first node and the second node, respectively.

[0035] Exemplarily, taking the network side device as a base station and the receiving side device as a terminal as an example, FIG1 shows a schematic diagram of the architecture of a communication system provided by an embodiment of the present disclosure. As shown in FIG1 , the communication system 10 includes multiple base stations (for example, base station 21 and base station 22) and multiple terminals (for example, terminal 31, terminal 32, terminal 33, and terminal 34). Multiple base stations and multiple terminals can be connected in communication. A base station can provide network services to a terminal in one cell, and can also provide network services to terminals in multiple cells at the same time.

[0036] In some embodiments, the base station can be a base station or an evolved base station (eNB or eNodeB) in long term evolution (LTE), long term evolution advanced (LTEA), a base station device in a 5G network, or a base station in a future communication system, etc. The base station may include various macro base stations, micro base stations, home base stations, wireless remote devices, reconfigurable intelligent surfaces (RISs), routers, wireless fidelity (WIFI) devices, or various network side devices such as primary cells and collaborative cells (secondary cells).

[0037] In some embodiments, the terminal can be a device with wireless transceiver capabilities, which can be deployed on land, including indoors or outdoors, handheld, wearable, or vehicle-mounted; it can also be deployed on the water (such as a ship, etc.); it can also be deployed in the air (for example, on an airplane, a balloon, and a satellite, etc.). The terminal can be a mobile phone, a tablet computer, a computer with wireless transceiver capabilities, a virtual reality (VR) terminal, an augmented reality (AR) terminal, a wireless terminal in industrial control, a wireless terminal in self-driving, a wireless terminal in remote medical care, a wireless terminal in a smart grid, a wireless terminal in transportation safety, a wireless terminal in a smart city, a wireless terminal in a smart home, etc. The embodiments of the present disclosure do not limit the application scenarios. The terminal may sometimes also be referred to as a user, user equipment (UE), access terminal, UE unit, UE station, mobile station, mobile station, remote station, remote terminal, mobile device, UE terminal, wireless communication device, UE agent or UE device, etc., but the embodiments of the present disclosure are not limited to this.

[0038] In some embodiments, high-layer signaling includes, but is not limited to, radio resource control (RRC), and media access control-control element (MAC CE), as well as other signaling other than physical layer signaling, such as LTE Positioning Protocol (LPP) high-layer signaling, NR Positioning Protocol A (NRPPa) high-layer signaling, and LTE Positioning Protocol A (LPPa) high-layer signaling, where LPP is also applied to the NR positioning protocol. Physical layer signaling can also be transmitted between the base station and the terminal, for example, physical layer signaling can be transmitted between the base station and the terminal on the physical downlink control channel (PDCCH) and on the physical uplink control channel (PUCCH).

[0039] In some embodiments, the indicator of a parameter may also be referred to as an index or an identifier (ID), and the indication, identifier and index are equivalent concepts. For example, the resource identifier of a wireless system may also be referred to as a resource indication or a resource index. The resource index of a wireless system includes, but is not limited to, one of the following: an index corresponding to a reference signal resource, a reference signal resource group, a reference signal resource configuration, a channel state information (CSI) report, a CSI report set, a terminal, a base station, a panel, a neural network, a sub-neural network, a neural network layer, a precoding matrix, a beam, a transmission mode, a sending mode, a receiving mode, a module, a model, a functional module, a function, etc. The base station may indicate the identifier of one or a group of resources to the terminal through various high-layer signaling or physical layer signaling. The terminal may also feedback the identifier of one or a group of resources to the base station through high-layer signaling and / or physical layer signaling.

[0040] In some embodiments, a time slot may be a time slot or a mini slot. A time slot or a mini slot includes at least one symbol. A symbol refers to a time unit in a subframe, frame, or time slot, and may be, for example, an orthogonal frequency division multiplexing (OFDM) symbol, a single-carrier frequency division multiple access (SC-FDMA) symbol, or an orthogonal frequency division multiple access (OFDMA) symbol.

[0041] In some embodiments, transmitting includes sending or receiving, such as sending data or signals, receiving data or signals.

[0042] In some embodiments, in order to calculate channel state information or perform channel estimation, mobility management, positioning, etc., a base station or terminal needs to send a reference signal (RS). Reference signals include, but are not limited to, channel-state information reference signals (CSI-RS), which include zero-power CSI-RS (ZP CSI-RS) and non-zero-power CSI-RS (NZP CSI-RS), channel-state information interference measurement signals (CSI-IM), sounding reference signals (SRS), synchronization signal blocks (SSB), physical broadcast channels (PBCH), and synchronization signal blocks / physical broadcast channels (SSB / PBCH). CSI-RS can be used for tracking, so it can also be called a tracking reference signal (TRS), where NZP CSI-RS can also be used to measure channels or interference. CSI-IM is generally used to measure interference, and SRS is used to measure uplink channels. In addition, the resource elements (REs) included in the time-frequency resources used to transmit reference signals are called reference signal resources, such as CSI-RS resources, SRS resources, CSI-IM resources, and SSB resources. In this article, SSB includes synchronization signal blocks and / or physical broadcast channels.

[0043] In some embodiments, a beam includes a transmit beam, a receive beam, a receive beam and a transmit beam pair, and a transmit beam and a receive beam pair. In some embodiments, a beam can be understood as a resource, such as a reference signal resource, a transmit-end spatial filter, a receive-end spatial filter, a spatial filter, a spatial receive parameter, a transmit-end precoding, a receive-end precoding, an antenna port, an antenna weight vector, an antenna weight matrix, etc. The beam index can be replaced with a resource index (e.g., a reference signal resource index) because a beam can be bound to resources in at least one of the time domain, frequency domain, and code domain for transmission. A beam can also be a transmission (transmission / reception) mode, where the transmission mode can include spatial division multiplexing, frequency / time domain diversity, beamforming, etc. In addition, the base station can perform quasi co-location (QCL) configuration for two reference signals and inform the user end to describe the channel characteristics. The parameters involved in quasi-co-location here include at least: Doppler spread, Doppler shift, delay spread, average delay, average gain and spatial parameter (Spatial Rx parameter, or Spatial parameter). Spatial parameters may include spatial reception parameters, angle information, spatial correlation parameters of the receiving beam, average delay, correlation parameters of the time-frequency channel response (including phase information). The angle information may include at least one of the following: angle of arrival and angle of departure. When the angle information includes azimuth and elevation, the angle of arrival includes the zenith angle of arrival (ZOA) and the azimuth angle of arrival (AOA), and the angle of departure includes the zenith angle of departure (ZOD) and the azimuth angle of departure (AOD). The spatial filtering can be at least one of the following: a Discrete Fourier Transform (DFT) vector, a precoding vector, a DFT matrix, a precoding matrix, a vector formed by linear combinations of multiple DFTs, or a vector formed by linear combinations of multiple precoding vectors. In some embodiments, the concepts of vector and vector are interchangeable. In some embodiments, a beam pair comprises a combination of a transmit beam and a receive beam.

[0044] In some embodiments, the beam direction or beam angle may include at least one of the following: an arrival angle, a departure angle, a vector or vector index constructed from at least one of the arrival angle and the departure angle, a discrete Fourier transform vector, a codeword in a codebook, a transmit beam index, a receive beam index, a transmit beam group index, or a receive beam group index. When the angle information includes an azimuth and an elevation angle, the arrival angle includes the arrival zenith angle and the arrival azimuth angle, and the departure angle includes the departure zenith angle and the departure azimuth angle.

[0045] In some embodiments, the communication node may select an information processing method to process the obtained information (such as channel information, channel matrix information, time domain channel information, frequency domain channel information, angle information, and position information) to obtain an information processing result (hereinafter referred to as a processing result). The processing result includes one or more of the above-mentioned channel state information, or one or more of the beam parameter information, or angle information, position information (such as coordinates), and position parameter information.

[0046] In some embodiments, the information processing method can be a traditional information processing method or various advanced information processing methods, including but not limited to information processing methods based on artificial intelligence (AI). In some examples, the information processing method is implemented using an artificial intelligence network (also known as a neural network, neural network model, or model).

[0047] In some embodiments, artificial intelligence (AI) includes self-learning devices, components, software, modules, models, functional modules, functional functions, etc. such as machine learning (ML), deep learning, reinforcement learning, transfer learning, deep reinforcement learning, and meta-learning. In some embodiments, artificial intelligence is implemented through an artificial intelligence network (or neural network), which includes multiple layers, each layer including at least one node. In one example, the neural network includes an input layer, an output layer, and at least one hidden layer. Each layer of the neural network includes, but is not limited to, using at least one of a fully connected layer, a dense layer, a convolutional layer, a transposed convolutional layer, a direct connection layer, an activation function, a normalization layer, and a pooling layer. In some embodiments, each layer of the neural network may include a sub-neural network, such as a residual network block (or Resnet block), a dense network (Densenet Block), a recurrent neural network (RNN), etc. The artificial intelligence network can be implemented through a model, which may include, but is not limited to, a model based on a neural network. The neural network model includes a neural network model structure and / or neural network model parameters, wherein the neural network model structure can be referred to as the model structure, and the neural network model parameters can be referred to as the network parameters or model parameters. Based on the model structure, the number of layers of the neural network, the size of each layer, the activation function, the link status, the convolution kernel and the size convolution step, the convolution type (such as 1D convolution, 2D convolution, 3D convolution, hollow convolution, transposed convolution, separable convolution, grouped convolution, extended convolution, etc.) and other network architectures can be determined, and the network parameters are the weights and / or biases corresponding to each layer of the network in the neural network model and their values. In addition, a model structure can correspond to multiple sets of different neural network model parameter values ​​to adapt to different scenarios. The neural network model parameters can then be obtained through online training or offline training, for example, by inputting at least one sample and training the neural network model to obtain the neural network model parameters.

[0048] Exemplarily, a sample includes N features and M labels, where N is a positive integer and M is an integer greater than or equal to 0. In addition, multiple samples can constitute a data set. In one example, a sample includes one feature and one label, such as a sample in supervised learning. In another example, a sample has only one feature and no label, such as a sample in unsupervised learning. In another example, a sample has multiple features and one label, such as a sample in a network model of supervised learning with multiple inputs and a single output. In another example, a sample includes one feature and multiple labels, such as a sample in a network model of supervised learning with single input and multiple output. In some embodiments, the feature of the sample can be an array, and the label is also an array. The array can be a vector or a matrix, or a tensor larger than two dimensions. Each element in the array can be a discrete value or a real value, such as a real value from 0 to 1, or a real value from -0.5 to 0.5.

[0049] In one example, the elements in the array corresponding to the label or feature need to be normalized to facilitate faster convergence of the network model. Normalization refers to normalizing the values ​​of the elements in an array to a value greater than or equal to a and less than or equal to b. For example, a = -0.5, b = 0.5. Or, a = 0, b = 1. In one example, the elements in the array can be divided by the number with the largest absolute value among the elements in the array to achieve normalization. In another example, the elements in the array can be divided by the variance of the elements in the array to achieve normalization. In one example, the elements in the array can be divided by a fixed value (for example, the maximum value of all elements in all samples) to achieve normalization. In another example, the elements in the array can be divided by a statistical value (for example, the statistical variance of all elements in all samples) to achieve normalization. For index values, such as beam index, CRI, SSBRI, etc., normalization can be achieved through one-hot encoding.

[0050] In some embodiments, a model refers to a data flow between the original input of a sample and the output target through multiple linear or nonlinear components. The above-mentioned models include neural network models, non-artificial intelligence modules for processing information or their corresponding models, and functional components or functions that map input information (including linear mapping and nonlinear mapping) to output information. In some embodiments, each model corresponds to a model indicator (Model ID) or a model identity (Model ID). In some embodiments, the model identity may also have one of the following other equivalent names or concepts: model index, first identifier, functional identifier, model indication, etc.

[0051] Exemplarily, a model includes a model structure and model parameters. For example, if the model is a neural network model, the neural network model includes a neural network model structure and neural network model parameters, which are used to describe the structure of the neural network and the parameter values ​​of the neural network, respectively. A neural network model structure can correspond to multiple neural network model parameters, that is, the neural network model structure can be the same, but the corresponding neural network model parameter values ​​can be different.

[0052] In some examples, a communication node may send a functionality or a functionality index to another communication node to inform the communication node that it can process information using the information processing method corresponding to the functionality index. Functions may also be referred to as functional modules, functional functions, functional mappings, functional descriptions, etc., which are used to describe the characteristics or types of information processing methods. The types of information processing methods may include multiple types, such as information processing methods for positioning, beam management, CSI prediction, beam prediction, channel estimation, etc., and information processing method characteristics include but are not limited to descriptions of scenarios adapted by the function, descriptions of input parameters, descriptions of output parameters, and types of measurement parameters included in the output results. A function corresponds to one or more information processing methods, and each information processing method may be implemented using one or more models, or a function may be implemented using one or more models, or a function may be implemented using information processing methods outside of one or more models.

[0053] In some embodiments, especially in high-frequency transmission, due to the high carrier frequency and large path loss, beam forming is required to concentrate the energy in the direction of the terminal, so beam management is required. Beam management includes but is not limited to beam scanning, beam tracking, and beam recovery. The core problem that needs to be solved is how to obtain accurate beam pairs with the lowest possible control overhead. Beam scanning includes transmitting-end beam scanning and / or receiving-end beam scanning. In order to reduce the overhead of beam scanning, two-stage scanning can be performed. In some embodiments, beam training may include first-stage, second-stage, and third-stage training. In the first stage, the transmit beam and the receive beam are scanned simultaneously. In the second stage of beam scanning, a receive beam can be fixed and different transmit beams can be scanned. The third stage is to fix a transmit beam and scan different receive beams. In one example, for example, by sending N T beams, fixed reception, repetition parameter repetition value is off, and then measure N of them TThe L1-RSRP or L1-SINR corresponding to the beams is selected to report the beam parameter information corresponding to L beams. In an example, by sending 1 beam, N R The receiving beam receives, the repetition parameter is set to on, and then N of them are measured R The L1-RSRP or L1-SINR corresponding to the L beams is selected to report the beam parameter information corresponding to the L beams, or if it is not reported, the terminal retains the beam parameter information corresponding to the L beams, such as the optimal L receiving beam indexes and other information. R and N T When both are large, the reference signal overhead corresponding to the beam scanning is very large. Here, N R 、N T is a positive integer. Advanced beam prediction technology can reduce reference signal overhead during beam scanning. Advanced technology may include AI, or other future and existing non-AI technologies for beam prediction. Beam prediction includes spatial and temporal beam prediction, or space-time beam prediction.

[0054] In some examples, for spatial beam prediction, the input is a beam parameter information group (first beam parameter information array), wherein the first beam parameter information group includes L0 beam parameter information, and another beam information group (second beam parameter information array) is predicted based on the L0 beam parameter information, and the second beam information group includes L1 beam parameter information. L1 and L0 are both positive integers. In some examples, L0<=L1. Alternatively, L0 may also be greater than L1. In this case, the second beam parameter information array includes the beam parameter information corresponding to the predicted L1 preferred beams (such as the CRI and / or SSBRI corresponding to the optimal L1 beams, the L1-RSRP and / or L1-RSRP and / or probability, confidence, etc. corresponding to the L1 beams, L1 can be a positive integer such as 1, 2, 3, or 4). The beam can be a transmitting beam, a receiving beam, or a transmitting and receiving beam pair. Each beam can correspond to a beam direction. In some examples, spatial beam prediction can be implemented by an AI module, such as by a network model. The beam parameter information corresponding to the L0 beams is combined into a beam parameter information array (first beam parameter information array) and input into the neural network. The neural network outputs the beam parameter information array corresponding to the L1 beams (second beam parameter information array), and the index corresponding to the L beam parameter information with the largest beam parameter information in the second beam parameter information array is determined as the preferred beam. In some examples, the spatial beam prediction can also be achieved by non-AI methods, such as linear mapping or nonlinear mapping, Wiener filtering, etc. In some examples, the beams corresponding to the first beam parameter information group and the second beam parameter information group are different types of beams, and the beam types include wide beams, narrow beams, regular beams, irregular beams, etc.

[0055] In some examples, during the process of time-domain beam prediction, N groups of first beam parameter information can be input, and M groups of second beam parameter information can be predicted based on the N groups of first beam parameter information. Each group of first beam parameter information includes L0 beam parameter information, and each group of beam parameter information in the M groups of second beam parameter information includes L1 beam parameter information. N, M, L, L1, and L0 are all positive integers. Moreover, the beam can be a transmit beam, a receive beam, or a transmit-receive beam pair. In some examples, the number of elements in the N groups of first beam parameter information can be different, and in some examples, the number of elements in the M groups of second beam parameter information can be different. Each beam can correspond to a beam number direction. Here, the N groups of first beam parameter information are the beam parameter information before the reference time slot, while the M groups of second beam parameter information are the beam parameter information after the reference time slot. In some examples, when L0 = L1, it is time-domain beam prediction, and when L0 < L1, it is spatial beam prediction. In some regression models, L0 may also be greater than L1, that is, the output of the model is M groups of beam parameter information, and each group of beam parameter information includes the beam parameter information corresponding to L1 preferred beams (such as the CRI and / or SSBRI corresponding to the optimal L1 beams, the L1-RSRP and / or L1-RSRP and / or probability, confidence, etc. corresponding to the L1 beams, and L1 can be a positive integer such as 1, 2, 3, 4, etc.). In some examples, time-domain beam prediction can be implemented through an AI module, such as by implementing an input of N groups of beam parameter information, where each group of beam parameter information includes L0 beam parameter information of a wave network model, or by synthesizing the N*L0 beam parameter information into a larger beam parameter information array (the first beam parameter information array) and inputting it into the network model. The network model outputs M groups of second beam parameter information, where each group of second beam parameter information includes L1 beam parameter information. It is also possible to combine the M*L1 beam parameter information into a beam parameter information array (the second beam parameter information array). For each group of beam parameter information in the M groups of beams, the index corresponding to the largest one or more beam parameter information is determined as the preferred beam of the beam information group. In some examples, the above-mentioned time-domain beam prediction can also be implemented in a non-AI manner, such as through linear mapping or non-linear mapping, etc.

[0056] In some embodiments, the reference time slot includes one of the following: the reference time slot is a time slot agreed upon by the base station and the terminal, or a current time slot. The current time slot refers to the time slot for obtaining CSI, or a time slot indicated by the base station, or a time slot obtained by adding a fixed offset to a time slot indicated by the base station, or a time slot obtained by adding a fixed offset to the time slot when the terminal receives the base station indication signaling, etc. And based on the beam parameter information groups of the N time slots, the beam parameter information groups of the M time slots can be predicted.

[0057] In some examples, the model parameters of the neural network can be obtained through online or offline training of the model. For example, the neural network model can be trained by inputting at least one sample. The sample includes a feature and a label. In some examples, the feature is at least one first beam parameter information array, and the label is at least one second beam parameter information array. Furthermore, during network training, the at least one first beam parameter information array and the at least one second beam parameter information array have a corresponding relationship, for example, a one-to-one relationship. The at least one first beam parameter information array can be input into the model to obtain a model output, namely, at least one predicted second beam parameter information array. The neural network model parameters are trained based on a loss function between the predicted second beam parameter information array and the second beam parameter information array corresponding to the label. During network model deployment or testing, at least one first beam parameter information array is input into the network model to output at least one predicted second beam parameter information array. Generally, the number of predicted beams is greater than the number of beams corresponding to the input features, thereby saving pilot overhead. When monitoring model performance, the at least one first beam parameter information array can be input into the model to obtain a model output, namely, at least one predicted beam parameter information array. By comparing the predicted second beam parameter information array and the second beam parameter information array corresponding to the label, we can know the prediction performance of the network, and thus monitor whether the performance of the model is good or bad and whether it is suitable for the current scenario.

[0058] In some examples, the transmit beam and / or receive beam indexes are numbered in an agreed manner to form a beam index. A beam index includes one of the following: a transmit beam index, a receive beam index, and a transmit-receive beam pair index. A beam index corresponds to a beam direction, or a vector or matrix corresponding to a beam direction. The terminal receives a reference signal (such as CSI-RS, SSB, etc.) and measures the beam parameter information corresponding to each beam to obtain a beam parameter information array. Generally speaking, the first beam parameter information array is a beam parameter information array formed by the beam parameter information corresponding to the first beam set, and the second beam parameter information array is a beam parameter information array formed by the beam parameter information corresponding to the second beam set. The first beam set is a subset of the second beam set. Of course, this also includes the case where the first beam set and the second beam set come from different beam sets, such as one is a wide beam and the other is a narrow beam.

[0059] In some examples, the beam parameter information array is a one-dimensional array, for example, a vector. In some examples, the beam parameter information array is a two-dimensional array, for example, a matrix. In some examples, the beam parameter information array is an array larger than two dimensions, for example, a tensor. Vectors and matrices can also be considered special cases of tensors.

[0060] In some examples, in order to better transmit data or signals, the base station or terminal needs to obtain measurement parameters, which may include channel state information or other parameters used to characterize the channel, wherein the channel state information may include at least one of the following: channel state information-reference signal resource indication (CSI-RS Resource Indicator, CRI), synchronization signal block resource indication (Synchronization Signals Block Resource Indicator, SSBRI), layer 1 reference signal received power (L1 Reference Signal Received Power, L1-RSRP or RSRP), differential RSRP (Differential RSRP), layer 1 reference signal signal-to-interference noise ratio (L1 Signal-to-Interference Noise Ratio, L1-SINR or SINR), differential L1-SINR (Differential L1-SINR), reference signal received quality (Reference Signal Received Quality, RSRQ), L1-RSRQ, differential RSRQ, channel quality indication (Channel Quality Indicator, CQI), precoding matrix indication (Precoding Matrix Indicator, PMI), layer indication (Layer The CSI includes the first type of precoding information, such as codebook-based precoding information. The precoding matrix indicator is a type of codebook-based precoding information. The precoding information also includes non-codebook-based implementations, such as the second type of precoding information. In one example, CSI that includes only the first type of precoding information is called the first type of CSI. In another example, CSI that includes the second type of precoding information is called the second type of CSI.

[0061] In some examples, channel information is information obtained based on a reference signal (e.g., CSI-RS) and used to describe the channel environment between communication nodes, such as a time-domain channel matrix, a frequency-domain channel matrix, an eigenvector of a time-domain or frequency-domain channel, or a matrix composed of eigenvectors. In some examples, the channel information is a complex matrix, and the size of the channel matrix is ​​related to the number of transmit antennas Nt, the number of receive antennas Nr, and resource elements (REs). For example, there is at least one Nr*Nt channel matrix in a physical resource block.

[0062] In some embodiments, the beam parameter information is the L1 Reference Signal Received Power (L1-RSRP or RSRP) and differential RSRP corresponding to at least one beam. In some embodiments, the beam parameter information is the L1 Signal-to-Interference Noise Ratio (L1-SINR or SINR) and differential SINR corresponding to at least one beam. In some embodiments, the beam parameter information is the Reference Signal Received Quality (RSRQ) corresponding to at least one beam. In some embodiments, the beam parameter information is the probability or confidence level corresponding to at least one beam. In some embodiments, the beam parameter information is the beam angle (at least one of AOA, ZOA, AOD, ZOD, etc., sometimes also referred to as horizontal angle of arrival, vertical angle of arrival, horizontal angle of departure, and vertical angle of departure, respectively) corresponding to at least one beam. In some embodiments, the beam parameter information is the transmit beam index corresponding to at least one beam. In some embodiments, the beam parameter information is the receive beam index corresponding to at least one beam. In some embodiments, the beam parameter information is the transmit beam and receive beam pair index (referred to as beam pair index or beam pair for short) corresponding to at least one beam. In some embodiments, the beam parameter information is the beam domain receive power map (BDRPM) corresponding to at least one beam. In some embodiments, the beam parameter information is the channel state information reference signal resource indicator (CSI-RS Resource Indicator, CRI) corresponding to at least one beam. In some embodiments, the beam parameter information is the synchronization signal block resource indicator (SSBRI) or other reference signal resource indicator, such as SRSRI, corresponding to at least one beam. In some embodiments, the beam parameter information is a combination of at least two of the following beam parameter information corresponding to at least one beam: RSRP, RSRQ, SINR, beam angle, transmit beam index, receive beam index, beam pair index, CRI, SSBRI, etc. In some embodiments, the beam parameter information is a linear value of one of RSRP, RSRQ, and SINR. In some embodiments, the beam parameter information is a logarithmic value or a decibel value (dB) of one of RSRP, RSRQ, and SINR.

[0063] In some embodiments, the beam parameter information may be obtained based on CSI-RS measurements. In some embodiments, the beam parameter information may be obtained based on SSB measurements. In some embodiments, the beam parameter information may be obtained based on SRS measurements.

[0064] In some examples, beam parameter information is a subset of channel state information, meaning that beam parameter information belongs to channel state information. Channel state information, in turn, belongs to measurement parameters. In some examples, measurement parameters, channel state information, and beam parameter information all belong to measurement results, processing results, or generation results.

[0065] In some examples, in order to transmit measurement results at the physical layer, such as transmitting channel state information, the terminal and the base station define a report (e.g., CSI report or CSI report config), wherein the report defines at least one of the following parameters: time-frequency resources for transmitting CSI, report quality report Quantity, report time domain category report Config Type, channel measurement resources, interference measurement resources, measurement bandwidth size, and other information. In addition, the report can be transmitted on uplink transmission resources, wherein the uplink transmission resources include PUSCH and PUCCH, and the report time domain category can include any of the following: periodic report (e.g., periodic CSI report, P-CSI), non-periodic report (e.g., aperiodic CSI report, AP-CSI), semi-persistent report (e.g., semi-persistent CSI report, SP-CSI). For example, the number of bits transmitted by P-CSI is relatively small and is usually transmitted on PUCCH. The number of bits transmitted by A-CSI is larger and is usually transmitted on PUSCH. SP-CSI can be transmitted based on PUSCH or PUCCH. P-CSI transmitted based on PUCCH is generally configured using high-layer signaling (Radio Resource Control, RRC). SP-CSI transmitted based on PUCCH is also configured, activated or deactivated using high-layer signaling (RRC and / or MAC CE). SP-CSI transmitted based on PUSCH is activated or deactivated through physical layer signaling (downlink control information, DCI). A-CSI is triggered by DCI. DCI is generally transmitted on the physical downlink control channel (PDCCH).

[0066] In some embodiments, the base station configures N for the terminal through high-layer signaling and / or physical layer signaling. C Each report has an identity (ID), which can be called a report ID. The terminal can select N based on its own computing or processing capabilities and the requirements of the base station. C M in the report C A report is generated, and based on the resources fed back from the upstream, the M C At least one of the reports, where N C and M C is a positive integer, and M C <=N C In some embodiments, the M that needs feedback C There are at least two conflicting feedback resources in the report, such as M C In a report, at least one symbol is the same and / or at least one subcarrier is the same in the transmission resources (such as PUCCH or PUSCH) corresponding to at least two reports. In addition, feedback CSI can also be called transmission CSI or sending CSI, such as carrying channel state information on uplink transmission resources for feedback or transmission, and both the uplink transmission resources and the corresponding CSI can be indicated by a channel state information report. It should be noted that feedback or transmission (such as sending or receiving) a report refers to the transmission of the content that needs to be transmitted as indicated in the report, including but not limited to channel state information or other possible information.

[0067] As shown in FIG2 , an embodiment of the present disclosure provides a method for sending channel state information, which is applied to a first communication node. The method includes:

[0068] S101. The first communication node obtains L groups of channel state information, where L is a positive integer.

[0069] In some embodiments, the L groups of channel state information include L groups of first channel state information. Alternatively, the L groups of channel state information include N groups of first channel state information and M groups of second channel state information, where N and M are both positive integers and the sum of N and M is equal to L.

[0070] Example 1: L groups of channel state information include L groups of first channel state information.

[0071] In spatial domain beam prediction, L can take the value of 1, indicating 1 set of channel state information for input to the information processing module. L can also take the value of 2, indicating a set of channel state information for input to the information processing module and a set of labels for determining the quality of the output of the information processing module. In time domain beam prediction, or space-time beam prediction, or time domain channel information prediction, L can include values ​​greater than or equal to 2, such as N sets of first channel state information, channel state information for input to the information processing module, M sets of first channel state information, labels for determining the quality of the output of the information processing module, where M and N are positive integers and M+N=L. In some examples, the L sets of channel state information are measured in L time slots. In some examples, such as in spatial domain beam prediction, the channel state information (i.e., features) and labels as input to the information processing module are measured in the same time slot, or in different time slots. The time slot here can also be a sub-time slot, or a time unit such as a symbol group.

[0072] In some embodiments, the first channel state information may include one or more of a first channel quality parameter, a first resource indicator, and a statistical parameter. The first channel quality parameter includes, but is not limited to, RSRQ, L1-RSRP, differential RSRQ, L1-SINR, or differential L1-SINR. The first resource indicator may be a CRI, SSBRI, or SRSRI, used to indicate a beam index or a reference signal resource index corresponding to the beam. The statistical parameter may be a confidence level or prediction probability of a beam prediction result, or other parameter used to evaluate the beam prediction result.

[0073] In some embodiments, taking the first communication node as a terminal and the second communication node as a base station as an example, when performing spatial beam prediction, the second communication node may transmit reference signal resources from a first reference signal resource set to the first communication node in a time slot. Accordingly, the first communication node may receive and measure the reference signal resources from the first reference signal resource set to obtain first beam parameter information.

[0074] Exemplarily, the above-mentioned first reference signal resource set may include L1 CSI-RS resources and / or SSB resources. One CSI-RS resource or one SSB resource corresponds to one beam, or one CSI-RS resource or one SSB resource corresponds to one direction. Thus, the first communication node can receive and measure L1 CSI-RS resources and / or SSB resources to obtain L1 first channel quality parameters (since beam prediction is performed, L1 first beam parameter information can also be obtained), where L1 is a positive integer.

[0075] In one example, spatial beam prediction is performed on the second communication node side, that is, spatial beam prediction is performed based on the spatial beam prediction model on the second communication node side. The first communication node can determine the above-mentioned L groups of channel state information based on the obtained first beam parameter information.

[0076] It should be noted that in this embodiment, the first communication node may generate a channel state information report based on the L channel information groups and send the channel state information report to the second communication node, so that the second communication node can perform beam prediction based on the channel state information report. In other words, the second communication node may input the channel state information in the channel state information report into the spatial beam prediction model to perform the model inference process of the spatial beam prediction model, thereby obtaining the beam prediction result output by the spatial beam prediction model.

[0077] In some embodiments, the value of L may be 1. Exemplarily, L groups of channel state information may include K1 first channel quality parameters and / or first resource indicators corresponding to the K1 first channel quality parameters.

[0078] In another example, spatial beam prediction is performed on the first communication node side, that is, spatial beam prediction is performed based on the spatial beam prediction model on the first communication node side. The first communication node can perform beam prediction based on the first beam parameter information obtained above in combination with the spatial beam prediction model to obtain a beam prediction result. The beam prediction result may include one or more channel state information of a statistical parameter, a resource indication, and a first channel quality parameter. Furthermore, the first communication node can determine the L sets of channel state information based on the beam prediction result.

[0079] In some embodiments, the value of L may be 1. Exemplarily, L groups of channel state information may include K1 statistical parameters and first resource indications corresponding to the K1 statistical parameters.

[0080] It should be noted that, in this embodiment, the first communication node may input the first beam parameter information into the beam prediction model to perform an inference process of the spatial beam prediction model, thereby obtaining a beam prediction result output by the spatial beam prediction model, namely, L channel information groups. Furthermore, the first communication node may also generate a channel state information report based on the L channel information groups and send the channel state information report to the second communication node, so that the second communication node can obtain the preferred beam range indicated in the beam prediction result based on the channel state information report.

[0081] In some embodiments, still assuming the first communication node is a terminal and the second communication node is a base station, when performing time-domain beam prediction, the second communication node may send reference signal resources from a first reference signal resource set to the first communication node in L time slots, where L is a positive integer. Accordingly, the first communication node may receive and measure the reference signal resources from the L first reference signal resource sets to obtain first beam parameter information.

[0082] Exemplarily, the first reference signal resource set may include L1 CSI-RS resources and / or SSB resources. One CSI-RS resource or one SSB resource corresponds to one beam, or one CSI-RS resource or one SSB resource corresponds to one direction. Thus, the first communication node can receive and measure L1*L CSI-RS resources and / or SSB resources to obtain L1*L first beam parameter information. In other examples, the number of reference signal resources in the first reference signal resource set of each time slot may be different.

[0083] In one example, time domain beam prediction is performed on the second communication node side, that is, spatial domain beam prediction is performed based on the time domain beam prediction model on the second communication node side. The first communication node can determine the above-mentioned L groups of channel state information based on the obtained first beam parameter information.

[0084] In some embodiments, the first channel state information may include a first channel quality parameter. Alternatively, the first channel state information may include a first resource indication and a first channel quality parameter.

[0085] It should be noted that in this embodiment, the first communication node may generate a channel state information report based on the L channel information groups and send the channel state information report to the second communication node, so that the second communication node can perform beam prediction based on the channel state information report. The second communication node may input the channel state information in the channel state information report into the time-domain beam prediction model to perform the model's inference process, thereby obtaining a beam prediction result output by the time-domain beam prediction model.

[0086] In another example, time domain beam prediction is performed on the first communication node side, that is, spatial domain beam prediction is performed based on the time domain beam prediction model on the first communication node side. The first communication node can perform beam prediction based on the first beam parameter information obtained above in combination with the time domain beam prediction model to obtain a beam prediction result. The beam prediction result may include one or more channel state information of the first channel quality parameter, resource indication, and statistical parameter. Furthermore, the first communication node can determine the L sets of channel state information based on the beam prediction result.

[0087] In some embodiments, the value of L may be N. The first channel state parameter may include a statistical parameter and a first resource indication.

[0088] It should be noted that in this embodiment, the first communication node may input the channel state information in the channel state information report into the time-domain beam prediction model to perform the model's inference process. Furthermore, the first communication node may generate a channel state information report based on the L channel information groups and send the channel state information report to the second communication node, so that the second communication node can obtain information about the preferred beam for the next time slot indicated in the beam prediction result based on the channel state information report.

[0089] Example 2: L groups of channel state information include 1 group of first channel state information and 1 group of second channel state information.

[0090] In some embodiments, the second channel state information may include one or more of a second channel quality parameter and a second resource indicator. The second channel quality parameter includes RSRQ, differential RSRQ, L1-RSRP, differential RSRQ, L1-SINR, or differential L1-SINR. The second resource indicator may be CRI, SSBRI, or SRSRI.

[0091] In some embodiments, when spatial beam prediction is performed, the second communication node sends reference signal resources in the first reference signal resource set to the first communication node in the first time slot. The second communication node may also send reference signal resources in the second reference signal resource set to the first communication node in the second time slot.

[0092] Accordingly, the first communication node may receive and measure the reference signal resources in the first reference signal resource set and the second reference signal resource to obtain the first beam parameter information and the second beam parameter information.

[0093] Exemplarily, the above-mentioned first reference signal resource set may include L1 CSI-RS resources and / or SSB resources, so that the first communication node can receive and measure L1 CSI-RS resources and / or SSB resources to obtain L1 first beam parameter information, where L1 is a positive integer. In addition, the second reference signal resource set may include L2 CSI-RS resources and / or SSB resources. Furthermore, the first communication node can receive and measure L2 CSI-RS resources and / or SSB resources to obtain L2 second beam parameter information, where L2 is a positive integer.

[0094] In some embodiments, the second reference signal resource set may be a subset of the first reference signal resource set. Thus, the second communication node may transmit only the first reference signal resource set, and the first and second time slots may be the same time slot. Furthermore, the second reference signal may distinguish between the beam corresponding to the first reference signal resource set and the beam corresponding to the second reference signal resource set by transmitting identifiers of the respective reference signal resource sets or by mapping. For example, the first reference signal resource set may have a mapping relationship with its corresponding beam, and the second reference signal resource set may have a mapping relationship with its corresponding beam.

[0095] In some embodiments, the second reference signal resource set may be different from the first reference signal resource set. Thus, the first time slot and the second time slot may be different time slots, or the first time slot and the second time slot may be the same time slot.

[0096] In some embodiments, the second reference signal resource set and the first reference signal resource set correspond to different types of beams. For example, the beam corresponding to the second reference signal resource set is a wide beam, while the beam corresponding to the first reference signal resource set is a narrow beam.

[0097] Furthermore, spatial beam prediction is performed on the second communication node side, that is, spatial beam prediction is performed based on the spatial beam prediction model on the second communication node side. The first communication node can determine the above-mentioned N groups of first channel information groups based on the obtained first beam parameter information, and determine the above-mentioned M groups of first channel information groups based on the obtained second beam parameter information.

[0098] It should be noted that in this embodiment, the first communication node may generate a channel state information report based on the L channel information groups and send the channel state information report to the second communication node, so that the second communication node can perform model training and model monitoring on the spatial beam prediction model based on the channel state information report. Model monitoring refers to the process of determining the prediction performance of the model by comparing the prediction results with the second channel state information, and then monitoring whether the model is suitable for the current usage scenario.

[0099] In some embodiments, when performing time domain beam prediction, the second communication node may send reference signal resources in the first reference signal resource set to the first communication node in N time slots, where N is a positive integer. The second communication node may also send reference signal resources in the second reference signal resource set to the first communication node in M ​​time slots, where M is a positive integer. Accordingly, the first communication node may receive and measure the reference signal resources in the N first reference signal resource sets to obtain first beam parameter information (i.e., N sets of first channel state information). Furthermore, the first communication node may receive and measure the reference signal resources in the M second reference signal resource sets to obtain second beam parameter information (i.e., M sets of second channel state information).

[0100] Exemplarily, the first reference signal resource set may include L1 CSI-RS resources and / or SSB resources. Thus, the first communication node may receive and measure L1*N CSI-RS resources and / or SSB resources, and obtain L1*N first beam parameter information. The second reference signal resource set may include L2 CSI-RS resources and / or SSB resources. Thus, the first communication node may receive and measure L2*M CSI-RS resources and / or SSB resources, and obtain L2*M second beam parameter information. In other examples, the number of reference signal resources in the first reference signal resource set of each time slot may be different. In some examples, the number of reference signal resources in the second reference signal resource set of each time slot may be different.

[0101] It should be noted that, for the convenience of describing the examples in the embodiments of the present disclosure, L1-RSRP is used for illustration. In other examples, all L1-RSRPs may be replaced by at least one channel quality parameter selected from differential L1-RSRP, RSRQ, differential RSRQ, L1-SINR, differential L1-RSRP, probability, and confidence.

[0102] In some embodiments, the M time slots may be continuous time slots or non-continuous time slots, or M time slots at equal intervals. Similarly, the N time slots may be continuous time slots or non-continuous time slots, or N time slots at equal intervals.

[0103] In some embodiments, the beam set corresponding to the first reference signal resource set is the same as the beam set corresponding to the second reference signal resource set. Alternatively, the number of beams corresponding to the first reference signal resource set is the same as the number of beams corresponding to the second reference signal resource set.

[0104] In some embodiments, the second reference signal resource set may be a subset of the first reference signal resource set. The second reference signal may also distinguish between the beam corresponding to the first reference signal resource set and the beam corresponding to the second reference signal resource set by transmitting identifiers of the respective reference signal resource sets or by mapping. For example, the first reference signal resource set and its corresponding beam may have a mapping relationship, and the second reference signal resource set and its corresponding beam may have a mapping relationship.

[0105] In some embodiments, the second reference signal resource set and the first reference signal resource set correspond to different types of beams. For example, the beam corresponding to the second reference signal resource set is a wide beam, while the beam corresponding to the first reference signal resource set is a narrow beam.

[0106] Furthermore, time domain beam prediction is performed on the second communication node side, that is, beam prediction is performed based on the time domain beam prediction model on the second communication node side. The first communication node may determine the N groups of first channel information based on the obtained first beam parameter information, and determine the M groups of first channel information based on the obtained second beam parameter information.

[0107] It should be noted that, in this embodiment, the first communication node can generate a channel state information report based on L channel information groups, and send the channel state information report to the second communication node, so that the second communication node can perform model training and model monitoring on the spatial beam prediction model based on the channel state information report.

[0108] S102. The first communication node generates a channel state information report based on L groups of channel state information.

[0109] In some embodiments, a channel state information report is a resource for transmitting wireless channel state information, and the report may include at least one channel state information. In some embodiments, the channel state information report may include two parts, the first part including the number of channel state information, and the second part including the channel state information.

[0110] In some embodiments, the first communication node may calculate the number of channel state information K1, ..., K corresponding to each of the L groups of channel state information. L , generate the first part of the channel state information report. K1,…,K L All are non-negative integers.

[0111] In some embodiments, the first part of the channel state information report includes the number K1, ..., K of channel state information corresponding to the L groups of channel state information. L , and / or the second part of the channel state information report includes L groups of channel state information.

[0112] In some embodiments, the second part of the channel state information report is determined based on the first part of the channel state information report. For example, based on the number Ki of the i-th group of channel state information in the channel state information report, the second part of the channel state information report includes Ki of the at least one of the following parameters corresponding to the i-th group of channel state information: a first channel quality parameter, a statistical parameter, a second channel quality parameter, a first resource indicator, and a second resource indicator. i = 1, ..., L.

[0113] In some embodiments, the channel state information report may satisfy at least the following implementations:

[0114] Implementation 1: The first communication node may use the number of channel state information corresponding to each of the L groups of channel state information as the first part of the channel state information report. Correspondingly, the first communication node may use all of the channel state information corresponding to each of the L groups of first channel state information as the second part of the channel state information report.

[0115] The first part of the channel state information report includes L values.

[0116] In one example, the value of L is 1. When L groups of channel state information groups include K1 channel state information, the first part of the channel state information report may include the value of K1, where K1 is a positive integer.

[0117] In another example, the numbers of the corresponding channel state information in the L groups of first information state information are L1, L2, L3...L L The first part of the channel state information report may include L1, L2, L3...L L The values ​​of L1, L2, L3…L L All are positive integers.

[0118] Implementation 2: The first communication node may determine P groups of channel state information to be transmitted from the channel state information corresponding to each of the L groups of channel state information, and use the number of channel state information corresponding to each of the P groups of channel state information to be transmitted as the first part of the channel state information report, where P is a positive integer. Accordingly, the second part of the channel state information report includes the channel state information corresponding to each of the P first channel state information groups.

[0119] In one example, the value of P is less than or equal to L, and L groups of channel state information can constitute L channel state information groups. For any group of channel state information in the P groups of channel state information to be sent, the group of channel state information can include all the channel state information in any channel state information group.

[0120] For example, the numbers of the corresponding channel state information in the L groups of first information state information are L1, L2, L3...L P …L L , the number of corresponding channel state information in the P group of channel state information to be sent is L1, L2, L3...L P The first part of the channel state information report may include L1, L2, L3...L P The values ​​of L1, L2, L3…L P All are positive integers.

[0121] In another example, L groups of channel state information can be composed of L channel state information groups. For any group of channel state information in the P groups of channel state information to be sent, the group of channel state information can be composed of partial channel state information in each channel state group in multiple channel state information groups.

[0122] For example, the numbers of the corresponding channel state information in the L groups of first information state information are L1, L2, L3...L P …L L , the number of corresponding channel state information in the P group of channel state information to be sent is P1, P2, P3...P P The first part of the channel state information report may include P1, P2, P3...P P The value of P1, P2, P3…P P are all positive integers, and may further include a group index or a bitmap for P groups of channel state information to be sent.

[0123] S103. The first communication node sends a channel state information report.

[0124] In some embodiments, the first communication node may encode the channel state information report to obtain a coded block to be transmitted, and then send the coded block.

[0125] In some embodiments, in the case of spatial beam prediction, the first communication node can arrange the individual first channel state information in the second part of the channel state information report based on the size of the first channel quality parameter to obtain an arrangement result, and then encode the second part of the channel state information report based on the arrangement result.

[0126] For example, taking the first channel state information including L1-RSRP and CRI as an example, the L1-RSRP can be sorted in descending order, that is, the L1-RSRP with the largest value is prioritized, followed by the CRI corresponding to the largest L1-RSRP. The second largest L1-RSRP is then sorted, followed by its corresponding CRI, and so on, until all L1-RSRPs and CRIs are sorted. In some embodiments, all L1-RSRPs can be sorted first, and then the CRIs corresponding to the L1-RSRPs can be sorted based on the order of the L1-RSRPs. In some examples, the CRI and its corresponding L1-RSRP can be sorted from small to large or from large to small based on the size of the CRI value. The L1-RSRP here can be replaced by other beam parameter information.

[0127] In some embodiments, in the case of spatial beam prediction, the first communication node can arrange the individual first channel state information in the second part of the channel state information report based on the size of the statistical parameter to obtain an arrangement result, and then encode the second part of the channel state information report based on the arrangement result.

[0128] For example, taking the first channel state information including the predicted probability and CRI as an example, the predicted probability can be sorted in descending order, that is, the predicted probability with the largest value is prioritized, followed by the CRI corresponding to the largest predicted probability. The predicted probability with the second largest value is then prioritized, followed by its corresponding CRI, and so on, until all predicted probabilities and CRIs are sorted. In some embodiments, all predicted probabilities can be sorted first, and then the CRIs corresponding to the predicted probabilities are sorted based on the order of the predicted probabilities.

[0129] In some embodiments, when the L groups of channel state information include N groups of first channel state information and M groups of second channel state information, the first communication node can arrange the N groups of first channel state information and then arrange the M groups of second channel state information, or the first communication node can arrange the M groups of second channel state information and then arrange the N groups of first channel state information to obtain an arrangement result, and then encode the second part of the channel state information report based on the arrangement result. In some examples, the order of each group of channel state information can be sorted according to the size of its corresponding time slot or group index. First arrange a group of channel state information with a small group index or a small corresponding time slot, and then arrange another group of channel state information with a large group index or a large corresponding time slot, until all groups of channel state information are arranged.

[0130] It should be understood that the above arrangement is only an example, and the embodiment of the present disclosure may also use other possible arrangements to arrange the first channel state information in the second part of the channel state information report, without limitation.

[0131] In some embodiments, in the case of time domain beam prediction, the first communication node can arrange the first channel state information in the second part of the channel state information report based on the order of each time slot to obtain an arrangement result, and then encode the second part of the channel state information report based on the arrangement result.

[0132] For example, taking the case where the first channel state information includes L1-RSRP and CRI, the K1 L1-RSRPs and K1 CRIs for the first time slot of L time slots can be arranged first, followed by the K2 L1-RSRPs and K2 CRIs for the second time slot of L time slots, and so on, until the L1-RSRPs and CRIs for all time slots are arranged. The L1-RSRP here can be replaced by other beam parameter information.

[0133] In some embodiments, the first communication node may arrange the first channel state information in the second part of the channel state information report based on the size of the first channel quality parameter and / or the order of each time slot to obtain an arrangement result, and then encode the second part of the channel state information report based on the arrangement result.

[0134] In some embodiments, the first communication node may arrange the first channel state information in the second part of the channel state information report based on the size of the statistical parameter and / or the order of each time slot to obtain an arrangement result, and then encode the second part of the channel state information report based on the arrangement result.

[0135] In some embodiments, when the L groups of channel state information include N groups of first channel state information and M groups of second channel state information, the first communication node may arrange the N groups of first channel state information and then arrange the M groups of second channel state information, or the first communication node may arrange the M groups of second channel state information and then arrange the N groups of first channel state information to obtain an arrangement result, and then encode the second part of the channel state information report based on the arrangement result.

[0136] It should be understood that the above arrangement is only an example, and the embodiment of the present disclosure may also use other possible arrangements to arrange the first channel state information in the second part of the channel state information report, without limitation.

[0137] In some embodiments, during quantization of the first channel quality parameters in the second part of the channel state information report, the first channel quality parameter with the largest parameter value may be quantized based on its absolute value, and other first channel quality parameters may be quantized using their differences relative to the largest first channel quality parameter. For example, taking L1-RSRP as an example, in addition to quantizing the largest L1-RSRP using its absolute value, other L1-RSRPs may be quantized using their differences relative to the largest L1-RSRP.

[0138] Based on the technical solutions provided by the embodiments of this disclosure, it is possible to determine the appropriate state information report information for each use case based on the different use cases of the feedback state information report, thereby increasing the flexibility of channel information feedback, meeting the different information requirements for beam prediction in different scenarios, and improving beam prediction accuracy. Furthermore, by determining the appropriate amount of state information report information, data transmission overhead can be reduced.

[0139] In some embodiments, when the L group of channel state information satisfies Example 1 in S101 and the L group of channel state information includes L group of first channel state information, as shown in FIG3 , S102 may be implemented as the following S102a1 - S102a2 .

[0140] S102a1. The first communication node generates a first part of a channel state information report according to the number of first channel state information corresponding to each of the L groups of first channel state information.

[0141] Exemplarily, the number of first channel state information corresponding to each of the L groups of first channel state information may include K1, ..., K L , where K1,…,K L All are non-negative integers.

[0142] S102a2. The first communication node generates the second part of the channel state information report based on the first part of the channel state information report and L groups of first channel state information.

[0143] In some embodiments, the first channel state information may include one or more of a first channel quality parameter, a first resource indication, and a statistical parameter.

[0144] In some embodiments, the channel state information report may also include at least one of the following: the number of quantization bits of the channel state information, the value of L, and a first bit map. The first bit map is a group mapping map of L groups of channel state information. The first bit map is used to indicate the transmission status of L groups of channel state information. For example, the length of the first bit map is L bits, and the i-th bit is used to indicate whether the i-th group of channel state information has been transmitted. Exemplarily, the i-th bit value is a first value (for example, 1), which is used to indicate that the i-th group of channel state information has been transmitted; the i-th bit value is a second value (for example, 0), which is used to indicate that the i-th group of channel state information has not been transmitted and the group index of the channel state information that needs to be fed back.

[0145] In some embodiments, the group index i of the channel state information is used to represent the index of the i-th group of channel state information in L groups of channel state information, where i = 1, ..., L, and may also be an integer from 0 to L-1. Furthermore, the group index of the channel state information may be divided into two sub-group indices, corresponding to N groups of first channel state information and M groups of second channel state information, respectively. The group index of the first sub-channel state information is a non-negative integer less than or equal to N, and the group index of the second sub-channel state information is a non-negative integer less than or equal to M, where M and N are positive integers, and M+N=L.

[0146] In some embodiments, the first part of the channel state information report further includes a tag type, where the tag type is used to indicate whether the second channel state information is a second resource index or a second channel quality parameter. For example, a first value of the tag type indicates the second resource index, while a second value of the tag type indicates the second channel quality parameter.

[0147] In some embodiments, in the case of spatial beam prediction, the channel state information report may include the following examples:

[0148] In one example, the value of L may be 1, and the L sets of channel state information include K1 first channel quality parameters. The first part of the channel state information report includes the value of K1, where K1 is a positive integer. The second part of the channel state information report includes the K1 first channel quality parameters.

[0149] Exemplarily, taking the first channel quality parameter as L1-RSRP as an example, spatial beam prediction is performed on the second communication node side. The first communication node can receive and measure the reference signal resources in the first reference signal resource set to obtain beam parameter information including L0 L1-RSRPs, where L0 is a positive integer and L0 is greater than or equal to K1. Furthermore, the first communication node can determine K1 L1-RSRPs from the L0 L1-RSRPs and send them to the second communication node. That is, the first part of the channel state information report includes the value of K1, and the second part of the channel state information report includes K1 L1-RSRPs.

[0150] It should be noted that in order to perform model inference using the spatial beam prediction model on the second communication node side, the first communication node can send multiple (for example, K1) samples to the second communication node, where each sample includes a feature corresponding to the above-mentioned first channel quality parameter, for example, the feature of the sample is L1-RSRP.

[0151] Alternatively, taking the first channel quality parameter as L1-RSRP as an example, spatial beam prediction is performed on the first communication node side, and the first communication node receives and measures the reference signal resources in the first reference signal resource set to obtain beam parameter information including L0 L1-RSRPs. In addition, the first communication node uses the L0 L1-RSRPs as input to the spatial beam prediction model and outputs K1 L1-RSRPs. Thus, the first part of the channel state information report includes the value of K1, and the second part of the channel state information report includes K1 L1-RSRPs. In some embodiments, the value of K0 can be the number of resources in the first reference signal resource set. That is, the model predicts the L1-RSRP corresponding to all beams.

[0152] In some embodiments, the maximum value of K1 is determined according to received signaling, where the signaling includes higher layer signaling and / or physical layer signaling.

[0153] In some examples, the first channel quality parameter is also RSRQ, differential RSRQ, L1-SINR, or differential L1-SINR.

[0154] In another example, L groups of channel state information include K1 first resource indicators and / or K1 first channel quality parameters, and the first part of the channel state information report includes the value of K1, where K1 is a positive integer. The second part of the channel state information report includes any one of the following:

[0155] K1 first channel quality parameters,

[0156] K1 first resource indication,

[0157] K1 first channel quality parameters and K1 first resource indicators,

[0158] K1 first channel quality parameters and 1 first resource indicator.

[0159] Exemplarily, taking the first channel quality parameter as L1-RSRP and the first resource indication as CRI as an example, spatial beam prediction is performed on the second communication node side, and the first communication node receives and measures the reference signal resources in the first reference signal resource set to obtain beam parameter information including L0 L1-RSRPs. In addition, the first communication node can determine K1 L1-RSRPs and / or the CRI corresponding to the K1 L1-RSRPs from the L0 L1-RSRPs and send them to the second communication node. That is, the first part of the channel state information report includes the value of K1, and the second part of the channel state information report includes any one of K1 L1-RSRPs, K1 CRIs, K1 L1-RSRPs and K1 CRIs, and K1 L1-RSRPs and 1 CRI. When the second part of the channel state information report includes K1 L1-RSRPs and 1 CRI, the 1 CRI can be the CRI corresponding to the largest L1-RSRP among the K1 L1-RSRPs. At this time, the value of K1 is equal to the number of reference signal resources in the first reference signal resource set or the corresponding number of beams.

[0160] Alternatively, taking the first channel quality parameter as L1-RSRP and the first resource indication as CRI as an example, spatial beam prediction is performed on the first communication node side, and the first communication node receives and measures the reference signal resources in the first reference signal resource set to obtain beam parameter information including L0 L1-RSRPs. In addition, the first communication node uses the L0 L1-RSRPs as input to the spatial beam prediction model and outputs K1 L1-RSRPs and / or K1 CRIs. Thus, the first part of the channel state information report includes the value of K1, and the second part of the channel state information report includes any one of K1 L1-RSRPs, K1 CRIs, K1 L1-RSRPs and K1 CRIs, or K1 L1-RSRPs and 1 CRI.

[0161] In some embodiments, the value of K1 may be the number of resources in the first reference signal resource set. That is, the model predicts the L1-RSRP corresponding to all beams.

[0162] In some examples, the first channel quality parameter may be RSRQ, differential RSRQ, L1-SINR, or differential L1-SINR. The first resource indication may also be SSBRI or other possible parameters.

[0163] In some examples, the first communication node may determine, based on a preset RSRP threshold value, K1 L1-RSRPs greater than the preset threshold value from the L0 L1-RSRPs. Furthermore, when the second part of the channel state information report includes K1 L1-RSRPs and one CRI, the one CRI may be the CRI corresponding to the largest L1-RSRP among the K1 L1-RSRPs. In this case, the value of K1 is equal to the number of reference signal resources in the first reference signal resource set or the corresponding number of beams.

[0164] In another example, in the case of spatial beam prediction, L sets of first channel state information include K1 statistical parameters and / or K1 first resource indicators. The first part of the channel state information report includes the value of K1, where K1 is a positive integer. The second part of the channel state information report includes: the K1 statistical parameters and / or the first resource indicators corresponding to the K1 statistical parameters.

[0165] Exemplarily, taking the statistical parameter as the predicted probability and the first resource indication as the CRI as an example, spatial beam prediction is performed on the first communication node side, and the first communication node receives and measures the reference signal resources in the first reference signal resource set to obtain beam parameter information including L0 L1-RSRPs. In addition, the first communication node uses the L0 L1-RSRPs as the input of the spatial beam prediction model and outputs K predicted probabilities and / or first resource indications corresponding to K statistical parameters. Each probability corresponds to a predicted beam. Furthermore, the first communication node can determine K1 predicted probabilities from the K predicted probabilities. The CRI corresponding to the K1 predicted probabilities can also be determined. Thus, the first part of the channel state information report includes the value of K1, and the second part of the channel state information report includes K1 predicted probabilities and / or the CRI corresponding to the K1 predicted probabilities.

[0166] In some embodiments, the first communication node may determine the value of K1 based on a preset prediction probability threshold.

[0167] For example, the first communication node may combine any one or more prediction probabilities and calculate the sum of the prediction probabilities of each combination, thereby determining the prediction probability combination with the least number of prediction probabilities among the one or more prediction probability combinations whose sum of the prediction probabilities is greater than a preset prediction probability threshold. Furthermore, the first communication node may use the number of prediction probabilities of the prediction probability combination with the least number of prediction probabilities as the value of K1. Furthermore, the second part of the channel state information report includes the prediction probability combination with the least number of prediction probabilities.

[0168] For example, the prediction probability threshold P0 is preset to 80%, and the output probabilities of the spatial beam prediction model are 70%, 15%, 1%, 1%, ..., (arranged in descending order). Since the maximum prediction probability is 70%, which is less than P0, followed by 15%, the sum of these two prediction probabilities is greater than P0, so the value of K1 is 2. Alternatively, the output probabilities of the spatial beam prediction model are 60%, 15%, 15%, 1%, ..., (arranged in descending order). Since the three largest prediction probabilities are 60%, 15%, and 15%, the sum of these three prediction probabilities is greater than P0, and the probabilities corresponding to any two beams are less than P0, so K1 = 3. In some embodiments, P0 can be obtained based on simulation, statistics, or other methods, or can be determined based on received signaling, which includes high-layer signaling and / or physical layer signaling.

[0169] In some embodiments, the maximum possible value K3 of K1 can also be determined. For example, the output probability of the spatial beam prediction model is 10%, 8%, 8%, 7%, 6%, 1%, 1%, ..., (arranged in descending order). Since the prediction probability of each beam is relatively small, it may be necessary to feedback a larger number of beams to exceed 80%. In this case, the value of K1 needs to be determined in combination with K3. In the case where the prediction probability combination with the least number of prediction probabilities in one or more prediction probability combinations whose sum of prediction probabilities is greater than a preset prediction probability threshold includes K2 prediction probabilities, K2 is greater than K3, and the value of K1 can be determined to be K3.

[0170] In some embodiments, K3 may be determined based on received signaling, where the signaling includes high-layer signaling and / or physical-layer signaling.

[0171] In some examples, the first resource indication may also be SSBRI or other possible parameters. The statistical parameter may also be a prediction probability or other parameters used to evaluate the beam prediction result.

[0172] In some embodiments, in the case of time-domain beam prediction, the channel state information report may include the following examples:

[0173] In one example, in the case of time-domain beam prediction, the first channel state information includes a first resource indicator and a first channel quality parameter. The first part of the channel state information report includes the number of first channel state information corresponding to each of the L groups of first channel state information. The second part of the channel state information report includes the first resource indicator and / or the first channel quality parameter for each of the L groups of first channel state information.

[0174] Exemplarily, the number of first channel state information corresponding to each group of L groups of first channel state information is K1, ..., K L The second part of the channel state information report includes any of the following:

[0175] K1 first channel quality parameters of the first group of channel state information, ..., K first channel quality parameters of the i-th group of channel state information i The first channel quality parameters, ..., K of the Lth group of channel state information L a first channel quality parameter;

[0176] K1 first resource indicators of the first group of channel state information, ..., K first resource indicators of the i-th group of channel state information i The i-th resource indication, ..., the K-th group of channel state information L A first resource indication;

[0177] K1 first channel quality parameters and K1 first resource indicators of the first group of channel state information, ..., K first channel quality parameters and K first resource indicators of the i-th group of channel state information i The first channel quality parameter and K i first resource indication, ..., K of the Lth group of channel state information L The first channel quality parameter and K L A first resource indication.

[0178] In some embodiments, the second part of the channel state information report may include K1 first channel quality parameters and 1 first resource indicator for the first set of channel state information, ..., K first channel quality parameters and 1 first resource indicator for the i-th set of channel state information. i first channel quality parameters and 1 first resource indicator, ..., K of the Lth group of channel state information L A first channel quality parameter and a first resource indicator.

[0179] In one example, taking the first channel quality parameter as L1-RSRP and the first resource indication as CRI as an example, time domain beam prediction is performed on the second communication node side, and the first communication node receives and measures the reference signal resources in the first reference signal resource set corresponding to each time slot in L time slots to obtain beam parameter information including L0 L1-RSRPs and L0 CRIs corresponding to each of the L time slots. In addition, the first communication node can determine K1, K2...K from the L0 L1-RSRPs corresponding to each of the L time slots. L L1-RSRP, and K1, K2…K L CRI.

[0180] In some embodiments, the first communication node may determine K1, K2, ..., K from L0 L1-RSRPs corresponding to each of the L time slots based on a preset RSRP threshold value. L L1-RSRP. Then determine K1, K2...K LFurthermore, different RSRP thresholds can be set for different time slots in the L time slots. Alternatively, the same RSRP threshold can be set for different time slots in the L time slots.

[0181] In some embodiments, the first communication node may determine the K on the i-th time slot in the time slot corresponding to each detection window in the L detection windows. i L1-RSRP and / or the K i The CRI corresponding to each L1-RSRP, i=1,…,L.

[0182] Furthermore, the first part of the channel state information report includes K1, K2...K L The second part of the channel state information report includes the K value of the i-th time slot in the L time slots. i L1-RSRP and / or the K i The CRI corresponding to each L1-RSRP, i=1,…,L.

[0183] In some embodiments, the first part of the channel state information report includes K1, K2...K L The second part of the channel state information report includes the K value of the i-th time slot in the L time slots. i L1-RSRP and / or 1 CRI. In the case where the second part of the channel state information report includes 1 CRI, the 1 CRI can be the i-th time slot K i The CRI corresponding to the largest L1-RSRP among the L1-RSRPs is K i The value of is equal to the number of reference signal resources in the first reference signal resource set corresponding to the i-th time slot or the corresponding number of beams.

[0184] Alternatively, taking the first channel quality parameter as L1-RSRP and the first resource indication as CRI as an example, spatial beam prediction is performed on the first communication node side, and the first communication node receives and measures the reference signal resources in the first reference signal resource set corresponding to each time slot in the L time slots to obtain beam parameter information including N0 L1-RSRPs corresponding to each of the N time slots. In addition, the first communication node uses the N0 L1-RSRPs corresponding to each of the N time slots as the input of the spatial beam prediction model, and outputs L*N1 L1-RSRPs and / or N1 CRIs corresponding to the L time slots. N and L are both positive integers. In addition, the first communication node can determine K1, K2...K from the N1 L1-RSRPs corresponding to each of the L time slots. L L1-RSRP, and corresponding K1, K2...K L CRI.

[0185] In some embodiments, the first communication node may determine K1, K2, ..., K from N1 L1-RSRPs corresponding to each of the L time slots based on a preset RSRP threshold value. L L1-RSRP. Moreover, different RSRP thresholds can be set for different time slots in the L time slots. Alternatively, the same RSRP threshold can be set for different time slots in the L time slots.

[0186] Furthermore, the first communication node can feed back the K on the i-th time slot in the L time slots in the detection window. i L1-RSRP and / or the K i The CRI corresponding to each L1-RSRP, i=1, ..., L. That is, the first part of the channel state information report includes K1, K2...K L The second part of the channel state information report includes the K value of the i-th time slot in the L time slots. i L1-RSRP and / or the K i The CRI corresponding to each L1-RSRP, i=1,…,L.

[0187] In some examples, the first channel quality parameter may be RSRQ, differential RSRQ, L1-SINR, or differential L1-SINR. The first resource indication may also be SSBRI or other possible parameters.

[0188] In another example, in the case of time domain beam prediction, the first channel state information includes a first resource indication and statistical parameters; the first part of the channel state information report includes the number of first channel state information corresponding to each of the L groups of first channel state information; the second part of the channel state information report includes the first resource indication and / or statistical parameters of each first channel state information in the L groups of first channel state information.

[0189] Exemplarily, the number of second channel state information corresponding to each group of L groups of second channel state information is K1, ..., K L The second part of the channel state information report includes any of the following:

[0190] K1 statistical parameters of the first group of channel state information, ..., K statistical parameters of the i-th group of channel state information i Statistical parameters, ..., K of the Lth group of channel state information L Statistical parameters;

[0191] K1 first resource indicators of the first group of channel state information, ..., K first resource indicators of the i-th group of channel state information i first resource indication, ..., K of the Lth group of channel state information L A first resource indication;

[0192] K1 statistical parameters and K1 first resource indicators of the first group of channel state information, ..., K first resource indicators of the i-th group of channel state information i Statistical parameters and K i first resource indication, ..., K of the Lth group of channel state information L Statistical parameters and K L A first resource indication.

[0193] In some embodiments, the second part of the channel state information report may include K1 statistical parameters of the first group of channel state information and 1 first resource indicator, ..., K first resource indicators of the i-th group of channel state information. i Statistical parameters and 1 first resource indicator, ..., K of the Lth group of channel state information L statistical parameters and 1 first resource indication.

[0194] In one example, taking the statistical parameter as the predicted probability and the first resource indication as CRI as an example, time domain beam prediction is performed on the first communication node side, and the first communication node receives and measures the reference signal resources in the first reference signal resource set corresponding to each time slot in L time slots to obtain beam parameter information including N0 L1-RSRPs corresponding to each of the N time slots. In addition, the first communication node uses the N0 L1-RSRPs corresponding to each of the N time slots as the input of the spatial domain beam prediction model, and outputs L*N1 predicted probabilities and / or N1 CRIs corresponding to the L time slots. N and L are both positive integers. In addition, the first communication node can determine K1, K2...K from the N1 predicted probabilities corresponding to each of the L time slots. L predicted probabilities, and the corresponding K1, K2…K L CRI.

[0195] In some embodiments, the first communication node may determine K1, K2, ..., K from N1 prediction probabilities corresponding to each of the L time slots based on a preset prediction probability threshold. L Furthermore, different prediction probability thresholds can be set for different time slots in the L time slots. Alternatively, the same prediction probability threshold can be set for different time slots in the L time slots.

[0196] Furthermore, the first communication node can feed back the K on the i-th time slot in the L time slots in the detection window. i predicted probabilities and / or the K i The CRI corresponding to the predicted probability, i = 1, ..., L. That is, the first part of the channel state information report includes K1, K2 ... K L The second part of the channel state information report includes the Ki predicted probabilities on the i-th time slot in the L time slots and / or the K i The CRI corresponding to the predicted probability, i = 1,…,L.

[0197] In some examples, the first resource indication may also be SSBRI or other possible parameters. The statistical parameter may also be confidence or other parameters used to evaluate beam prediction results.

[0198] Based on the technical solution provided by the embodiments of the present disclosure, it is possible to determine the status information report applicable to each usage scenario for various usage scenarios related to beam prediction model reasoning, thereby improving the flexibility of channel information feedback.

[0199] In some embodiments, when the L groups of channel state information meet Example 2 in S101 and include N groups of first channel state information and M groups of second channel state information, as shown in FIG4 , S102 may be implemented as the following S102b1 - S102b2 .

[0200] S102b1. The first communication node generates a first part of the channel state information report according to the number of first channel state information corresponding to each of the N groups of first channel state information and the number of second channel state information corresponding to each of the M groups of second channel state information.

[0201] Exemplarily, the number of first channel state information corresponding to each of the N groups of first channel state information may include K1, ..., K N , where K1,…,K N The number of second channel state information corresponding to each of the M groups of second channel state information may include K 1+N ,…,K L , where K 1+N ,…,K L All are non-negative integers.

[0202] S102b2. The first communication node generates the second part of the channel state information based on the first part of the channel state information report, N groups of first channel state information, and M groups of second channel state information.

[0203] In some embodiments, the first channel state information may include one or more of a first channel quality parameter, a first resource indication, and a statistical parameter. The second channel state information may include one or more of a second channel quality parameter and a second resource indication.

[0204] In some embodiments, the channel state information report also includes at least one of the following: the number of quantization bits of the channel state information, the value of L, the value of N, the value of M, the first bit map, the second bit map, the third bit map, and the channel state information group index.

[0205] The first bitmap is a group mapping map of L groups of channel state information. The first bitmap is used to indicate the transmission status of the L groups of channel state information. For example, the length of the first bitmap is L bits, and the i-th bit is used to indicate whether the i-th group of channel state information has been transmitted. Exemplarily, the i-th bit value is a first value (e.g., 1), which is used to indicate that the i-th group of channel state information has been transmitted; the i-th bit value is a second value (e.g., 0), which is used to indicate that the i-th group of channel state information has not been transmitted.

[0206] The second bitmap is a group mapping map of N groups of first channel state information. The second bitmap is used to indicate the transmission status of the N groups of first channel state information. For example, the length of the second bitmap is N, and the i-th bit is used to indicate whether the i-th group of first channel state information has been transmitted. Exemplarily, the i-th bit value is a first value (e.g., 1), which is used to indicate that the i-th group of first channel state information has been transmitted; the i-th bit value is a second value (e.g., 0), which is used to indicate that the i-th group of first channel state information has not been transmitted.

[0207] The third bitmap is a group mapping map of M groups of second channel state information. The third bitmap is used to indicate the transmission status of the M groups of second channel state information. For example, the length of the third bitmap is M, and the i-th bit is used to indicate whether the i-th group of second channel state information has been transmitted. Exemplarily, the i-th bit value is a first value (e.g., 1), which is used to indicate that the i-th group of second channel state information has been transmitted; the i-th bit value is a second value (e.g., 0), which is used to indicate that the i-th group of second channel state information has not been transmitted.

[0208] In some embodiments, in the case of spatial beam prediction, the channel state information report may include the following examples:

[0209] In one example, N groups of first channel state information include K1 first channel quality parameters, and M groups of second channel state information include K2 second channel quality parameters and / or K2 second resource indicators. The first part of the channel state information report includes the value of K1 and the value of K2, where K1 and K2 are both positive integers. The second part of the channel state information report includes K1 first channel quality parameters, and the second part of the channel state information report also includes one of the following:

[0210] K2 second channel quality parameters,

[0211] K2 second resource indications,

[0212] K2 second channel quality parameters and K2 second resource indicators,

[0213] K2 second channel quality parameters and 1 second resource indicator.

[0214] Exemplarily, taking the first channel quality parameter as L1-RSRP, the second channel quality parameter as L1-RSRP, and the second resource indication as CRI as an example, spatial beam prediction is performed on the second communication node side, and the first communication node receives and measures the reference signal resources in the first reference signal resource set, and obtains beam parameter information including N0 L1-RSRPs. In addition, the first communication node can determine K1 L1-RSRPs from the N0 L1-RSRPs. The first communication node can also receive and detect the reference signal resources in the second reference signal resource set, obtain M0 L1-RSRPs and the CRI corresponding to the M0 L1-RSRPs. In addition, the first communication node can determine K2 L1-RSRPs and the CRI corresponding to the K2 L1-RSRPs from the M0 L1-RSRPs.

[0215] In some embodiments, the first communication node may determine K1 L1-RSRPs from N0 L1-RSRPs based on a preset first preset L1-RSRP threshold, where the K1 L1-RSRPs are all greater than the first preset L1-RSRP threshold. Furthermore, the first communication node may also determine K2 L1-RSRPs from M0 L1-RSRPs based on a preset second preset L1-RSRP threshold, where the K2 L1-RSRPs are all greater than the second preset L1-RSRP threshold.

[0216] In some embodiments, the first preset L1-RSRP threshold is equal to the second preset L1-RSRP threshold.

[0217] Furthermore, the first part of the channel state information report includes the value of K1 and the value of K2, and the second part of the channel state information report includes K1 L1-RSRPs, K2 L1-RSRPs and / or K2 CRIs.

[0218] Alternatively, the second part of the channel state information report may include K1 L1-RSRPs, K2 L1-RSRPs, and 1 CRI. The 1 CRI may be the CRI corresponding to the largest L1-RSRP among the K2 L1-RSRPs. In this case, the value of K2 is equal to the number of reference signal resources in the second reference signal resource set or the corresponding number of beams.

[0219] It should be noted that in order to train or monitor the model on the second communication node side, the first communication node can send multiple samples to the second communication node, where each sample includes a feature and a label, the feature corresponds to the above-mentioned first channel quality parameter, and the label corresponds to the above-mentioned first channel quality parameter.

[0220] In some embodiments, the maximum value of K1 is determined based on received first signaling, which includes high-layer signaling and / or physical layer signaling. The maximum value of K2 is determined based on received second signaling, which includes high-layer signaling and / or physical layer signaling.

[0221] In another example, N sets of first channel state information include K1 first resource indicators and / or K1 first channel quality parameters. M sets of second channel state information include K2 second channel quality parameters and / or K2 second resource indicators. The first part of the channel state information report includes the value of K1 and the value of K2, where K1 and K2 are positive integers. The second part of the channel state information report includes one of the following:

[0222] K1 first channel quality parameters,

[0223] K1 first resource indication,

[0224] K1 first channel quality parameters and K1 first resource indicators,

[0225] K1 first channel quality parameters and 1 first resource indicator.

[0226] Furthermore, the second part of the channel state information report further includes one of the following:

[0227] K2 second channel quality parameters,

[0228] K2 second resource indications,

[0229] K2 second channel quality parameters and K2 second resource indicators,

[0230] K2 second channel quality parameters and 1 second resource indicator.

[0231] For example, taking the case where the first resource indicator is CRI, the first channel quality parameter is L1-RSRP, the second channel quality parameter is L1-RSRP, and the second resource indicator is CRI, spatial beam prediction is performed on the second communication node side. The first communication node receives and measures the reference signal resources in the first reference signal resource set, and obtains beam parameter information including N0 L1-RSRPs and N0 CRIs corresponding to the N0 L1-RSRPs. Furthermore, the first communication node can determine K1 L1-RSRPs from the N0 L1-RSRPs and the CRIs corresponding to the K1 L1-RSRPs. The first communication node can also receive and detect the reference signal resources in the second reference signal resource set, and obtain M0 L1-RSRPs and the CRIs corresponding to the M0 L1-RSRPs. Furthermore, the first communication node can determine K2 L1-RSRPs from the M0 L1-RSRPs and the CRIs corresponding to the K2 L1-RSRPs.

[0232] In some embodiments, the first communication node may determine K1 L1-RSRPs from N0 L1-RSRPs based on a preset first preset L1-RSRP threshold, where the K1 L1-RSRPs are all greater than the first preset L1-RSRP threshold. Furthermore, the first communication node may also determine K2 L1-RSRPs from M0 L1-RSRPs based on a preset second preset L1-RSRP threshold, where the K2 L1-RSRPs are all greater than the second preset L1-RSRP threshold.

[0233] In some embodiments, the first preset L1-RSRP threshold may be equal to the second preset L1-RSRP threshold.

[0234] Furthermore, the first part of the channel state information report includes the value of K1 and the value of K2, and the second part of the channel state information report includes any one of K1 L1-RSRP, K1 CRI, K1 L1-RSRP and K1 CRI, K1 L1-RSRP and 1 CRI, and K2 L1-RSRP and / or K2 CRI.

[0235] It should be noted that when the second part of the channel state information report includes K1 L1-RSRPs and 1 CRI, the 1 CRI can be the CRI corresponding to the largest L1-RSRP among the K1 L1-RSRPs. At this time, the value of K1 is equal to the number of reference signal resources in the first reference signal resource set or the corresponding number of beams.

[0236] In some embodiments, the maximum value of K1 is determined based on received first signaling, which includes high-layer signaling and / or physical layer signaling. The maximum value of K2 is determined based on received second signaling, which includes high-layer signaling and / or physical layer signaling.

[0237] In some embodiments, in the case of time-domain beam prediction, the channel state information report may include the following examples:

[0238] In one example, in the case of time-domain beam prediction, the first channel state information includes a first resource indication and a first channel quality parameter, and the second channel state information includes a second channel quality parameter and / or a second resource indication. The first part of the channel state information report includes the number of first channel state information corresponding to each of the N groups of first channel state information, and the number of second channel state information corresponding to each of the M groups of second channel state information, and the second part of the channel state information report includes the first resource indication and / or the first channel quality parameter of each of the N groups of first channel state information, and the second resource indication and / or the second channel quality of each of the second channel state information in the M groups of second channel state information.

[0239] Exemplarily, the first part of the channel state information report includes the number K1, ..., K of first channel state information corresponding to each of the N groups of first channel state information. N , and the number K of second channel state information corresponding to each of the M groups of second channel state information 1+N ,…,K L ;

[0240] The second part of the channel state information report includes any of the following:

[0241] K1 first resource indicators of the first group of channel state information, ..., K first resource indicators of the Nth group of channel state information N The first resource indication, the K of the N+1th group of channel state information 1+N A second channel quality parameter and / or K 1+N second resource indication, ..., K of the Lth group of channel state information L A second channel quality parameter and / or K L A second resource indication;

[0242] K1 statistical parameters of the first group of channel state information, ..., K statistical parameters of the Nth group of channel state information N Statistical parameters, K of the N+1th group of channel state information 1+N A second channel quality parameter and / or K 1+N second resource indication, ..., K of the Lth group of channel state information L A second channel quality parameter and / or K L A second resource indication;

[0243] K1 statistical parameters and K1 first resource indicators of the first group of channel state information, ..., K first resource indicators of the Nth group of channel state information N Statistical parameters and K L The first resource indication, the K of the N+1th group of channel state information 1+N A second channel quality parameter and / or K 1+N second resource indication, ..., K of the Lth group of channel state information L A second channel quality parameter and / or K L A second resource indicator.

[0244] In some embodiments, the second part of the channel state information report may further include K1 statistical parameters of the first group of channel state information and 1 first resource indicator, ..., K first resource indicators of the Nth group of channel state information. N Statistical parameters and 1 first resource indicator, K of the N+1th group of channel state information 1+N A second channel quality parameter and / or K 1+Nsecond resource indication, ..., K of the Lth group of channel state information L A second channel quality parameter and / or K L A second resource indicator.

[0245] In one example, taking the first channel quality parameter as L1-RSRP, the first resource indicator as CRI, the second channel quality parameter as L1-RSRP, and the second resource indicator as CRI as an example, time domain beam prediction is performed on the second communication node side, and the first communication node receives and measures the reference signal resources in the first reference signal resource set corresponding to each of the N first time slots to obtain beam parameter information including N0 L1-RSRPs corresponding to each of the N first time slots. In addition, the first communication node can also receive and measure the reference signal resources in the second reference signal resource set corresponding to each of the M second time slots to obtain beam parameter information including M0 L1-RSRPs corresponding to each of the M second time slots. Furthermore, the first communication node can determine K1, K2…K from the N0 L1-RSRPs corresponding to each of the N first time slots. N L1-RSRP, and K1, K2…K N The first communication node can also determine K from M0 L1-RSRPs corresponding to each of the M second time slots. 1+N ,…,K L L1-RSRP, and K 1+N ,…,K L The CRI corresponding to each L1-RSRP.

[0246] In some embodiments, the first communication node may determine K1, K2, ..., K from N0 L1-RSRPs corresponding to each of the N first time slots based on a first preset RSRP threshold value. N L1-RSRP. Then determine K1, K2...K N Furthermore, the first communication node may also determine K from the M0 L1-RSRPs corresponding to the M second time slots based on the second preset RSRP threshold value. 1+N ,…,K L L1-RSRP. Then determine K 1+N ,…,K LThe CRI corresponding to each L1-RSRP is calculated. In some embodiments, different first RSRP thresholds may be set for different time slots in the N first time slots, or the same first RSRP threshold may be set for different time slots in the N first time slots. Different second RSRP thresholds may be set for different time slots in the M second time slots, or the same second RSRP threshold may be set for different time slots in the M second time slots. In some embodiments, the first preset L1-RSRP threshold may be equal to the second preset L1-RSRP threshold.

[0247] In some embodiments, the first communication node may determine Ki L1-RSRPs on the i-th first time slot in the first time slot corresponding to each detection window in the N detection windows and the CRI corresponding to the Ki L1-RSRPs, i=1, ..., N. And Ki L1-RSRPs on the i-th second time slot in the second time slot corresponding to each prediction window in the M prediction windows and the CRI corresponding to the Ki L1-RSRPs, i=1+N, ..., L.

[0248] Furthermore, the first part of the channel state information report includes K1, K2...K N The value of K 1+N ,…,K L The second part of the channel state information report includes Ki L1-RSRPs and the CRI corresponding to the Ki L1-RSRPs for the i-th first time slot among the N first time slots, i = 1, ..., N, and Ki L1-RSRPs and / or the CRI corresponding to the Ki L1-RSRPs for the i-th second time slot among the M second time slots, i = 1+N, ..., L.

[0249] In some embodiments, the first part of the channel state information report includes K1, K2...K N and K 1+N ,…,K L The second part of the channel state information report includes Ki L1-RSRPs and Ki CRIs for the i-th time slot in the N first time slots, and Ki L1-RSRPs and 1 CRI for the i-th time slot in the M second time slots. When the second part of the channel state information report includes 1 CRI corresponding to the i-th second time slot, the 1 CRI may be the CRI corresponding to the maximum L1-RSRP among the Ki L1-RSRPs in the i-th second time slot. In this case, the value of Ki is equal to the number of reference signal resources in the second reference signal resource set corresponding to the i-th second time slot or the corresponding number of beams.

[0250] Based on the technical solution provided by the embodiments of the present disclosure, it is possible to determine the status information report applicable to each usage scenario for various usage scenarios related to the training or monitoring of the beam prediction model, thereby improving the flexibility of channel information feedback.

[0251] In some embodiments, the present disclosure further provides a method for receiving channel state information, as shown in FIG5 , the method comprising:

[0252] S201. The second communication node receives a channel state information report, where the channel state information report is generated based on L groups of first channel state information, where L is a positive integer.

[0253] In some embodiments, the first part of the channel state information report is generated based on the number of first channel state information corresponding to each of the L groups of first channel state information, and the second part of the channel state information report is generated based on the first part of the channel state information report and the L groups of first channel state information.

[0254] In some embodiments, the first part of the channel state information report includes the number K1, ..., K of channel state information corresponding to the L groups of channel state information. L , and / or the second part of the channel state information report includes L groups of channel state information.

[0255] In some embodiments, spatial beam prediction is performed on the second communication node, i.e., a spatial beam prediction model is deployed on the second communication node. At this time, the second communication node receives a channel state information report for performing model inference based on the spatial beam prediction model, i.e., obtaining a beam prediction result of the spatial beam prediction model.

[0256] In some embodiments, the second communication node receives a channel state information report and can determine the number of first channel state information fed back by the channel state information report, that is, the number of beams, by decoding the first part of the channel state information report, and then decode the second part of the channel state information report in turn to obtain multiple first channel state information.

[0257] Furthermore, the second communication node can use the first channel state information in the second part of the channel state information report as the input of the spatial beam prediction model to obtain the beam prediction result of the spatial beam prediction model, that is, the predicted value of the spatial beam prediction model for the second channel state information.

[0258] In addition, the second communication node can select an appropriate parameter value based on the parameter value size of the channel state information in the beam prediction result, and determine the beam corresponding to the parameter value as the preferred beam.

[0259] In one example, the first channel state information includes a first channel quality parameter, the first part of the channel state information report includes a value of K1, where K1 is a positive integer, and the second part of the channel state information report includes K1 first channel quality parameters.

[0260] Exemplarily, taking the first channel quality parameter as L1-RSRP, the second communication node receives a channel state information report and can determine the number K1 of first channel state information fed back by the channel state information report by decoding the first part of the channel state information report, and then sequentially decode the second part of the channel state information report to obtain K1 L1-RSRPs. Furthermore, the second communication node can use the K1 L1-RSRPs as input to the spatial beam prediction model to obtain the beam prediction result of the spatial beam prediction model, that is, the predicted value of the spatial beam prediction model for the second beam parameter information, such as K2 CRIs, K2 L1-RSRPs, etc. Taking the beam prediction result including K2 L1-RSRPs as an example, the second communication node can further select the beam corresponding to the optimal at least one L1-RSRP as the preferred beam based on the size of the K2 L1-RSRPs.

[0261] In another example, the first channel state information includes a first resource indicator and a first channel quality parameter. The first part of the channel state information report includes a value of K1, where K1 is a positive integer; and the second part of the channel state information report includes any one of the following: K1 first channel quality parameters, K1 first resource indicators, K1 first channel quality parameters and K1 first resource indicators, or K1 first channel quality parameters and 1 first resource indicator.

[0262] Exemplarily, taking the first channel quality parameter as L1-RSRP and the first resource indicator as CRI as an example, the second communication node receives a channel state information report and can determine the first channel state information number K1 fed back by the channel state information report by decoding the first part of the channel state information report, and then sequentially decode the second part of the channel state information report to obtain any one of K1 L1-RSRPs, K1 CRIs, K1 L1-RSRPs and K1 CRIs, or K1 L1-RSRPs and 1 CRI. Furthermore, taking the reception of K1 L1-RSRPs and K1 CRIs as an example, the second communication node can use K1 L1-RSRPs and K1 CRIs as inputs to a spatial beam prediction model to obtain a beam prediction result of the spatial beam prediction model, that is, a predicted value of the spatial beam prediction model for the second beam parameter information, such as K2 CRIs, K2 L1-RSRPs, or L0 L1-RSRPs. Taking the beam prediction result including K2 L1-RSRPs as an example, the second communication node can further select the beam corresponding to the optimal at least one L1-RSRP as the preferred beam based on the size of the K2 L1-RSRPs.

[0263] In some embodiments, spatial beam prediction is performed on the first communication node, i.e., a spatial beam prediction model is deployed on the first communication node. At this time, the second communication node receives a channel state information report that includes a beam prediction result of the spatial beam prediction performed by the first communication node.

[0264] In some embodiments, the second communication node receives a channel state information report and can determine the number of first channel state information items fed back by the channel state information report by decoding the first portion of the channel state information report. The second communication node can then sequentially decode the second portion of the channel state information report to obtain multiple pieces of first channel state information. Based on the magnitude of the parameter values ​​of the first channel state information items in the second portion of the channel state information report, the second communication node can select an appropriate parameter value and determine the beam corresponding to the parameter value as the preferred beam.

[0265] Exemplarily, the first channel state information includes statistical parameters and a first resource indication. The first part of the channel state information report includes a value of K1, where K1 is a positive integer, and the second part of the channel state information report includes: K1 statistical parameters and / or first resource indications corresponding to the K1 statistical parameters.

[0266] Taking the statistical parameter as the predicted probability and the first resource indication as CRI as an example, the second communication node receives the channel state information report and can determine the first channel state information number K1 fed back by the channel state information report by decoding the first part of the channel state information report, and then decode the K1 predicted probabilities of the channel state information report and / or the CRI corresponding to the K1 predicted probabilities in the channel state information report in turn.

[0267] Furthermore, the second communication node can select at least one appropriate prediction probability and / or at least one CRI based on the K1 prediction probabilities and / or the CRIs corresponding to the K1 prediction probabilities, and determine the beam corresponding to the at least one prediction probability and / or at least one CRI as the preferred beam.

[0268] In some embodiments, the channel state information report may be generated based on L groups of first channel state information and M groups of second channel state information, where L and M are both positive integers.

[0269] In some embodiments, the first part of the channel state information report is based on the number K1, ..., K of first channel state information corresponding to each of the L groups of first channel state information. N , and the number K of second channel state information corresponding to each of the M groups of second channel state information 1+N ,…,K L Generate; the second part of the channel state information is generated based on the first part of the channel state information report, L groups of first channel state information and M groups of second channel state information.

[0270] In some embodiments, spatial beam prediction is performed on the second communication node side, that is, the spatial beam prediction model is deployed on the second communication node side. At this time, the second communication node receives the channel state information report for model training and / or model monitoring based on the spatial beam prediction model.

[0271] In some embodiments, the second communication node receives a channel state information report and can determine the number of first channel state information fed back by the channel state information report by decoding the first part of the channel state information report, and then sequentially decode the second part of the channel state information report to obtain at least one first channel state information and at least one second channel state information. Furthermore, the second communication node can use the first channel state information in the second part of the channel state information report as the input of the spatial beam prediction model to obtain the beam prediction result of the spatial beam prediction model, and compare the beam prediction result with at least one second channel state information, and adjust the model parameters of the spatial beam prediction model based on the comparison result and a preset loss function to train the spatial beam prediction model. Alternatively, based on the comparison result of the beam prediction result with at least one second channel state information, determine the performance of the spatial beam prediction model and monitor whether the spatial beam prediction model is suitable for the current usage scenario.

[0272] In some embodiments, the second communication node may compare the beam prediction result with the largest parameter value and the second channel state information with the largest parameter value to monitor the spatial beam prediction model. In one example, if the beam prediction result includes at least one CRI that is the same as the CRI of the second channel state information, it indicates that the model is suitable for the current usage scenario.

[0273] The above mainly introduces the solution provided by the present disclosure from the perspective of the interaction between various communication nodes. It is understandable that, in order to implement the above functions, each communication node includes a hardware structure and / or software module corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the algorithm steps of each example described in the embodiments disclosed herein, the present disclosure can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present disclosure.

[0274] FIG6 is a schematic diagram showing the composition of a communication device provided by an embodiment of the present disclosure. As shown in FIG6 , the communication device 60 includes a receiving module 601 , a processing module 602 , and a sending module 603 .

[0275] In some embodiments, the receiving module 601 is configured to obtain L sets of channel state information, where L is a positive integer. The processing module 602 is configured to generate a channel state information report based on the L sets of channel state information. The sending module 603 is configured to send the channel state information report.

[0276] In some embodiments, the processing module 602 is configured to: according to the number K1, ..., K of channel state information corresponding to the L groups of channel state information L , generate the first part of the channel state information report; where K1, ..., K L The second part of the channel state information report is generated according to the first part of the channel state information report and L groups of channel state information.

[0277] In some embodiments, the content of the second portion of the channel state information report is determined based on the first portion of the channel state information report.

[0278] In some embodiments, the first part of the channel state information report includes the number K1, ..., K of channel state information corresponding to the L groups of channel state information. L , and / or the second part of the channel state information report includes L groups of channel state information.

[0279] In some embodiments, L groups of channel state information include K1 first channel quality parameters; the first part of the channel state information report includes the value of K1, where K1 is a positive integer; and the second part of the channel state information report includes K1 first channel quality parameters.

[0280] In some embodiments, the L groups of channel state information include K1 first resource indicators and / or K1 first channel quality parameters; the first part of the channel state information report includes a value of K1, where K1 is a positive integer; and the second part of the channel state information report includes any one of the following:

[0281] K1 first channel quality parameters,

[0282] K1 first resource indication,

[0283] K1 first channel quality parameters and K1 first resource indicators,

[0284] K1 first channel quality parameters and 1 first resource indicator.

[0285] In some embodiments, L groups of channel state information include K1 statistical parameters and / or K1 first resource indications; the first part of the channel state information report includes the value of K1, where K1 is a positive integer; the second part of the channel state information report includes: K1 statistical parameters and / or first resource indications corresponding to K1 statistical parameters.

[0286] In some embodiments, the maximum value of K1 is determined according to received signaling, where the signaling includes higher layer signaling and / or physical layer signaling.

[0287] In some embodiments, the L groups of channel state information include L groups of first resource indicators and first channel quality parameters; the first part of the channel state information report includes the number K1, ..., K of first channel state information corresponding to the L groups of first channel state information L The second part of the channel state information report includes any one of the following:

[0288] K1 first channel quality parameters of the first group of channel state information, ..., K first channel quality parameters of the Lth group of channel state information L a first channel quality parameter;

[0289] K1 first resource indicators of the first group of channel state information, ..., K first resource indicators of the Lth group of channel state information L A first resource indication;

[0290] K1 first channel quality parameters and K1 first resource indicators of the first group of channel state information, ..., K first channel quality parameters and K first resource indicators of the Lth group of channel state information L The first channel quality parameter and K L A first resource indication;

[0291] K1 first channel quality parameters and 1 first resource indicator of the first group of channel state information, ..., K first channel quality parameters and 1 first resource indicator of the Lth group of channel state information L A first channel quality parameter and a first resource indicator.

[0292] In some embodiments, the L groups of channel state information include L groups of first resource indicators and statistical parameters; the first part of the channel state information report includes the number K1, ..., K of first channel state information corresponding to the L groups of first channel state information L The second part of the channel state information report includes any one of the following:

[0293] K1 statistical parameters of the first group of channel state information, ..., K statistical parameters of the Lth group of channel state information L Statistical parameters;

[0294] K1 first resource indicators of the first group of channel state information, ..., K first resource indicators of the Lth group of channel state information L A first resource indication;

[0295] K1 statistical parameters and K1 first resource indicators of the first group of channel state information, ..., K first resource indicators of the Lth group of channel state information L Statistical parameters and K L A first resource indication;

[0296] K1 statistical parameters of the first group of channel state information and 1 first resource indicator, ..., K statistical parameters of the Lth group of channel state information L statistical parameters and 1 first resource indication.

[0297] In some embodiments, L groups of first channel state information are obtained from channel state information of L detection windows respectively.

[0298] In some embodiments, the channel state information report further includes at least one of the following: the number of quantization bits of the channel state information, the value of L, the first bitmap, and the channel state information group index.

[0299] In some embodiments, the L groups of channel state information include N groups of first channel state information and M groups of second channel state information, where N and M are both positive integers, and the sum of N and M is equal to L. The processing module 602 is configured to: according to the number K1, ..., K of first channel state information corresponding to the N groups of first channel state information N , and the number K of second channel state information corresponding to the M groups of second channel state information 1+N ,…,K L, generating a first part of a channel state information report. Generating a second part of the channel state information according to the first part of the channel state information report, N groups of first channel state information, and M groups of second channel state information.

[0300] In some embodiments, the N groups of first channel state information include K1 first channel quality parameters, and the M groups of second channel state information include K2 second channel quality parameters and / or K2 second resource indications; the first part of the channel state information report includes a value of K1 and a value of K2, where K1 and K2 are both positive integers; the second part of the channel state information report includes K1 first channel quality parameters, and the second part of the channel state information report further includes one of the following:

[0301] K2 second channel quality parameters,

[0302] K2 second resource indications,

[0303] K2 second channel quality parameters and K2 second resource indicators,

[0304] K2 second channel quality parameters and 1 second resource indicator.

[0305] In some embodiments, the N groups of first channel state information include K1 first resource indications and / or K1 first channel quality parameters; the M groups of second channel state information include K2 second channel quality parameters and / or K2 second resource indications; the first part of the channel state information report includes a value of K1 and a value of K2, where K1 and K2 are positive integers; and the second part of the channel state information report includes one of the following:

[0306] K1 first channel quality parameters,

[0307] K1 first resource indication,

[0308] K1 first channel quality parameters and K1 first resource indicators,

[0309] K1 first channel quality parameters and 1 first resource indicator.

[0310] Furthermore, the second part of the channel state information report further includes one of the following:

[0311] K2 second channel quality parameters,

[0312] K2 second resource indications,

[0313] K2 second channel quality parameters and K2 second resource indicators,

[0314] K2 second channel quality parameters and 1 second resource indicator.

[0315] In some embodiments, the maximum value of K1 is determined according to the received first signaling, and the maximum value of K2 is determined according to the received second signaling.

[0316] In some embodiments, the N groups of first channel state information include N groups of first resource indicators and first channel quality parameters; the M groups of second channel state information include M groups of second channel quality parameters and / or second resource indicators; the first part of the channel state information report includes the number K1, ..., K of first channel state information corresponding to each of the N groups of first channel state information N , and the number K of second channel state information corresponding to each of the M groups of second channel state information 1+N ,…,K L The second part of the channel state information report includes any one of the following:

[0317] K1 first resource indicators of the first group of channel state information, ..., K first resource indicators of the Nth group of channel state information N The first resource indication, the K of the N+1th group of channel state information 1+N A second channel quality parameter and / or K 1+N second resource indication, ..., K of the Lth group of channel state information L A second channel quality parameter and / or K L A second resource indication;

[0318] K1 statistical parameters of the first group of channel state information, ..., K statistical parameters of the Nth group of channel state information N Statistical parameters, K of the N+1th group of channel state information 1+N A second channel quality parameter and / or K 1+N second resource indication, ..., K of the Lth group of channel state information L A second channel quality parameter and / or K L A second resource indication;

[0319] K1 statistical parameters and K1 first resource indicators of the first group of channel state information, ..., K first resource indicators of the Nth group of channel state information N Statistical parameters and K L The first resource indication, the K of the N+1th group of channel state information 1+N A second channel quality parameter and / or K 1+N second resource indication, ..., K of the Lth group of channel state information L A second channel quality parameter and / or K L A second resource indication;

[0320] K1 statistical parameters of the first group of channel state information and 1 first resource indicator, ..., K statistical parameters of the Nth group of channel state information NStatistical parameters and 1 first resource indicator, K of the N+1th group of channel state information 1+N A second channel quality parameter and / or K 1+N second resource indication, ..., K of the Lth group of channel state information L A second channel quality parameter and / or K L A second resource indicator.

[0321] In some embodiments, the channel state information report also includes at least one of the following: the number of quantization bits of the channel state information, the value of L, the value of N, the value of M, the first bit map, the second bit map, the third bit map, and the channel state information group index.

[0322] For a more detailed description of the above-mentioned receiving module 601, processing module 602 and sending module 603, as well as a more detailed description of each technical feature therein and a description of the beneficial effects, etc., please refer to the above-mentioned corresponding method embodiment part and will not be repeated here.

[0323] FIG7 is a schematic diagram showing the composition of a communication device provided by an embodiment of the present disclosure. As shown in FIG7 , the communication device 70 includes a receiving module 701 .

[0324] In some embodiments, the receiving module 701 is configured to receive a channel state information report, where the channel state information report is generated based on L groups of channel state information, where L is a positive integer.

[0325] In some embodiments, the first part of the channel state information report includes the number K1, ..., K of channel state information corresponding to the L groups of channel state information. L , and / or the second part of the channel state information report includes L groups of channel state information.

[0326] In some embodiments, the L groups of channel state information include N groups of first channel state information and M groups of second channel state information, where N and M are both positive integers, and the sum of N and M is equal to L.

[0327] In some embodiments, the first part of the channel state information report is based on the number K1, ..., K of first channel state information corresponding to the N groups of first channel state information. N , and the number K of second channel state information corresponding to the M groups of second channel state information 1+N ,…,K L Generate; the second part of the channel state information is generated based on the first part of the channel state information report, N groups of first channel state information and M groups of second channel state information.

[0328] For a more detailed description of the above-mentioned receiving module 701, a more detailed description of each technical feature therein, and a description of the beneficial effects, etc., please refer to the above-mentioned corresponding method embodiment part, which will not be repeated here.

[0329] It should be noted that the modules in FIG6 or FIG7 may also be referred to as units. For example, the sending module may be referred to as a sending unit. In addition, in the embodiments shown in FIG6 or FIG7 , the names of the modules may not be those shown in the figures. For example, the sending module may be referred to as a communication module, and the receiving module may be referred to as a communication module.

[0330] If the various units or modules in Figure 6 or Figure 7 are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present disclosure is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium and includes a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (processor) to perform all or part of the steps of the various embodiments of the present disclosure. The storage medium for storing computer software products includes various media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0331] In the case of implementing the functions of the above-mentioned integrated modules in the form of hardware, an embodiment of the present disclosure provides a schematic structural diagram of a communication device, which can be the above-mentioned communication device 60 or communication device 70. As shown in Figure 8, the communication device 80 includes: a memory 801, a processor 802, a communication interface 803, and a bus 804.

[0332] The memory 801 may be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0333] The processor 802 may implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the contents of this disclosure. The processor 802 may be a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit, a field-programmable gate array, or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. The processor 802 may implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the contents of this disclosure. The processor 802 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0334] The communication interface 803 is used to connect to other devices via a communication network, such as Ethernet, wireless access network, or wireless local area network (WLAN).

[0335] In some embodiments, the memory 801 may exist independently of the processor 802 and may be connected to the processor 802 via a bus 804 for storing instructions or program codes. When the processor 802 calls and executes the instructions or program codes stored in the memory 801, the method for determining the information processing mode provided in the embodiments of the present disclosure can be implemented.

[0336] In some embodiments, the memory 801 may also be integrated with the processor 802 .

[0337] Bus 804 can be an Extended Industry Standard Architecture (EISA) bus, etc. Bus 804 can be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, FIG8 shows only one thick solid line, but this does not mean that there is only one bus or only one type of bus.

[0338] Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional modules as needed, that is, the internal structure of the equipment or device is divided into different functional modules to complete all or part of the functions described above.

[0339] The present disclosure also provides a computer-readable storage medium. All or part of the processes in the above-mentioned method embodiments can be completed by computer instructions to the relevant hardware, and the program can be stored in the above-mentioned computer-readable storage medium. When the program is executed, it may include the processes of the above-mentioned method embodiments. The computer-readable storage medium can be the internal storage unit of the device or apparatus provided in any of the above-mentioned embodiments, such as the hard disk or memory of the computer device. The above-mentioned computer-readable storage medium can also be an external storage device of the above-mentioned device or apparatus, such as a plug-in hard disk, a smart memory card (smart media card, SMC), a secure digital (secure digital, SD) card, a flash card (flash card), etc. equipped on the above-mentioned device or apparatus. Further, the above-mentioned computer-readable storage medium can also include both the internal storage unit of the above-mentioned device or apparatus and an external storage device. The above-mentioned computer-readable storage medium is used to store the above-mentioned computer program and other programs and data required by the above-mentioned device or apparatus. The above-mentioned computer-readable storage medium can also be used to temporarily store data that has been output or is to be output. The above-mentioned computer-readable storage medium includes a non-transient computer-readable storage medium.

[0340] The embodiments of the present disclosure further provide a computer program product, which includes a computer program. When the computer program product is run on a computer, the computer is enabled to execute any one of the methods provided in the above embodiments.

[0341] Although the present disclosure is described herein in conjunction with various embodiments, in the process of implementing the disclosure for which protection is sought, those skilled in the art may understand and implement other variations of the disclosed embodiments by reviewing the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other components or steps, and "one" or "an" does not exclude multiple components. A single processor or other unit may implement several functions listed in the claims. Certain measures are recorded in different dependent claims, but this does not mean that these measures cannot be combined to produce good results.

[0342] Although the present disclosure has been described with reference to specific features and embodiments thereof, it will be apparent that various modifications and combinations may be made thereto without departing from the spirit and scope of the present disclosure. Accordingly, this specification and the drawings are merely illustrative of the present disclosure as defined by the appended claims and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present disclosure. Obviously, those skilled in the art may make various modifications and variations to the present disclosure without departing from the spirit and scope of the present disclosure. Thus, the present disclosure is intended to encompass such modifications and variations if they fall within the scope of the claims of the present disclosure and their equivalents.

[0343] The above is only a specific embodiment of the present disclosure, but the scope of protection of the present disclosure is not limited thereto. Any changes or replacements within the technical scope disclosed in the present disclosure should be included in the scope of protection of the present disclosure. Therefore, the scope of protection of the present disclosure should be based on the scope of protection of the claims.

Claims

1. A method for sending channel state information, comprising: Obtain L groups of channel state information, where L is a positive integer; Generating a channel state information report according to the L groups of channel state information; Sending the channel state information report.

2. The method according to claim 1, wherein: Generating a channel state information report according to the L groups of channel state information includes: According to the number K1, ..., K of channel state information corresponding to the L groups of channel state information L , generating the first part of the channel state information report; wherein K1, ..., K L All are non-negative integers; A second part of the channel state information report is generated based on the first part of the channel state information report and the L groups of channel state information.

3. The method according to claim 2, wherein: The second part of the channel state information report is determined according to the first part of the channel state information report.

4. The method according to claim 2, wherein: The first part of the channel state information report includes the number K1, ..., K of channel state information corresponding to the L groups of channel state information. L , and / or the second part of the channel state information report includes L groups of channel state information.

5. The method according to claim 2, wherein: The L groups of channel state information include K1 first channel quality parameters; the first part of the channel state information report includes the value of K1, where K1 is a positive integer; the second part of the channel state information report includes K1 first channel quality parameters.

6. The method according to claim 2, wherein: The L groups of channel state information include K1 first resource indications and / or K1 first channel quality parameters; the first part of the channel state information report includes the value of K1, where K1 is a positive integer; the second part of the channel state information report includes any one of the following: The K1 first channel quality parameters, The K1 first resource indications, the K1 first channel quality parameters and the K1 first resource indicators, The K1 first channel quality parameters and 1 first resource indicator.

7. The method according to claim 2, wherein: The L groups of channel state information include K1 statistical parameters and / or K1 first resource indications; the first part of the channel state information report includes the value of K1, where K1 is a positive integer; the second part of the channel state information report includes: K1 statistical parameters and / or first resource indications corresponding to the K1 statistical parameters.

8. The method according to claim 7, wherein: The maximum value of K1 is determined according to received signaling, where the signaling includes high-layer signaling and / or physical-layer signaling.

9. The method according to claim 2, wherein: The L groups of channel state information include L groups of first resource indications and first channel quality parameters; the first part of the channel state information report includes the number K1, ..., K of first channel state information corresponding to the L groups of first channel state information L ; The second part of the channel state information report includes any one of the following: K1 first channel quality parameters of the first group of channel state information, ..., K first channel quality parameters of the Lth group of channel state information L a first channel quality parameter; K1 first resource indicators of the first group of channel state information, ..., K first resource indicators of the Lth group of channel state information L a first resource indication; K1 first channel quality parameters and K1 first resource indicators of the first group of channel state information, ..., K first channel quality parameters and K1 first resource indicators of the Lth group of channel state information L The first channel quality parameter and K L a first resource indication; The first group of channel state information has K1 first channel quality parameters and 1 first resource indicator, ..., the Lth group of channel state information has K L A first channel quality parameter and a first resource indicator.

10. The method according to claim 2, wherein: The L groups of channel state information include L groups of first resource indications and statistical parameters; the first part of the channel state information report includes the number K1, ..., K of first channel state information corresponding to the L groups of first channel state information L ; The second part of the channel state information report includes any one of the following: K1 statistical parameters of the first group of channel state information, ..., K statistical parameters of the Lth group of channel state information L Statistical parameters; K1 first resource indicators of the first group of channel state information, ..., K first resource indicators of the Lth group of channel state information L a first resource indication; K1 second channel quality parameter statistical parameters and K1 first resource indicators of the first group of channel state information, ..., K first resource indicators of the Lth group of channel state information L Statistical parameters and K L a first resource indication; K1 statistical parameters of the first group of channel state information and 1 first resource indicator, ..., K statistical parameters of the Lth group of channel state information L statistical parameters and 1 first resource indication.

11. The method according to claim 2, wherein: The channel state information report also includes at least one of the following: the number of quantization bits of the channel state information, the value of L, the first bitmap, and a channel state information group index.

12. The method according to claim 1, wherein: The L groups of channel state information include N groups of first channel state information and M groups of second channel state information, where N and M are both positive integers, and the sum of N and M is equal to L. The generating a channel state information report according to the L groups of channel state information includes: According to the number K1, ..., K of first channel state information corresponding to the N groups of first channel state information N , and the number K of second channel state information corresponding to the M groups of second channel state information 1+N , …, K L , generating a first part of the channel state information report; The second part of the channel state information is generated according to the first part of the channel state information report, the N groups of first channel state information, and the M groups of second channel state information.

13. The method according to claim 12, wherein: The N groups of first channel state information include K1 first channel quality parameters, and the M groups of second channel state information include K2 second channel quality parameters and / or K2 second resource indications; The first part of the channel state information report includes a value of K1 and a value of K2, where both K1 and K2 are positive integers; The second part of the channel state information report includes K1 first channel quality parameters, and the second part of the channel state information report also includes one of the following: K2 second channel quality parameters, K2 second resource indications, K2 second channel quality parameters and K2 second resource indications, K2 second channel quality parameters and 1 second resource indication.

14. The method according to claim 12, wherein: The N groups of first channel state information include K1 first resource indications and / or K1 first channel quality parameters; the M groups of second channel state information include K2 second channel quality parameters and / or K2 second resource indications; The first part of the channel state information report includes a value of K1 and a value of K2, where K1 and K2 are positive integers; The second part of the channel state information report includes one of the following: the K1 first channel quality parameters, the K1 first resource indications, the K1 first channel quality parameters and the K1 first resource indications, the K1 first channel quality parameters and 1 first resource indication; the second part of the channel state information report also includes one of the following: K2 second channel quality parameters, K2 second resource indications, K2 second channel quality parameters and K2 second resource indications, K2 second channel quality parameters and 1 second resource indication.

15. The method according to claim 12, wherein: The N groups of first channel state information include N groups of first resource indications and / or first channel quality parameters; the M groups of second channel state information include M groups of second channel quality parameters and / or second resource indications; The first part of the channel state information report includes the number K1, ..., K of first channel state information corresponding to each of the N groups of first channel state information. N , and the number K of second channel state information corresponding to each of the M groups of second channel state information 1+N , …, K L ; The second part of the channel state information report includes any one of the following: K1 first resource indicators of the first group of channel state information, ..., K first resource indicators of the Nth group of channel state information N The first resource indication, the K of the N+1th group of channel state information 1+N A second channel quality parameter and / or K 1+N second resource indication, ..., K of the Lth group of channel state information L indivual The second channel quality parameter and / or K L a second resource indication; K1 statistical parameters of the first group of channel state information, ..., K statistical parameters of the Nth group of channel state information N Statistical parameters, K of the N+1th group of channel state information 1+N A second channel quality parameter and / or K 1+N second resource indication, ..., K of the Lth group of channel state information L A second channel quality parameter and / or K L a second resource indication; K1 statistical parameters and K1 first resource indicators of the first group of channel state information, ..., K first resource indicators of the Nth group of channel state information N Statistical parameters and K L The first resource indication, the K of the N+1th group of channel state information 1+N A second channel quality parameter and / or K 1+N second resource indication, ..., K of the Lth group of channel state information L A second channel quality parameter and / or K L a second resource indication; K1 statistical parameters of the first group of channel state information and 1 first resource indicator, ..., K statistical parameters of the Nth group of channel state information N Statistical parameters and 1 first resource indicator, K of the N+1th group of channel state information 1+N A second channel quality parameter and / or K 1+N second resource indication, ..., K of the Lth group of channel state information L A second channel quality parameter and / or K L A second resource indication.

16. The method according to claim 12, wherein: The channel state information report also includes at least one of the following: the number of quantization bits of the channel state information, the value of L, the value of N, the value of M, a first bit map, a second bit map, a third bit map, and a channel state information group index.

17. A method for receiving channel state information, comprising: A channel state information report is received, where the channel state information report is generated based on L groups of channel state information, where L is a positive integer.

18. The method according to claim 17, characterized in that The first part of the channel state information report includes the number K1, ..., K of channel state information corresponding to the L groups of channel state information. L , and / or the second part of the channel state information report includes L groups of channel state information.

19. The method according to claim 17, wherein: The L groups of channel state information include N groups of first channel state information and M groups of second channel state information, where N and M are both positive integers, and the sum of N and M is equal to L.

20. The method according to claim 19, wherein: The first part of the channel state information report is based on the number K1, ..., K of first channel state information corresponding to the N groups of first channel state information. N , and the number K of second channel state information corresponding to the M groups of second channel state information 1+N , …, K L generate; The second part of the channel state information is generated based on the first part of the channel state information report, the N sets of first channel state information, and the M sets of second channel state information.

21. A communication device, comprising: Memory and processor; Memory and processor coupling; The memory is used to store instructions executable by the processor; When the processor executes the instructions, the method according to any one of claims 1 to 20 is performed.

22. A computer-readable storage medium, wherein: The computer-readable storage medium stores computer instructions, and when the computer instructions are executed on a communication device, the communication device is caused to perform the method according to any one of claims 1 to 20.

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