Dataset transmission and reception methods, apparatus, and storage media

Abstract

The present disclosure provides a method, an apparatus, and a storage medium for transmitting and receiving a data set, which includes the steps of obtaining N samples based on measurements of a reference signal resource set, where N is a positive integer, selecting M samples for constituting a data set from the N samples based on a predetermined rule, where M is a positive integer less than or equal to N, and transmitting the data set.

Description

Technical Field

[0001] This application claims priority based on a Chinese patent application with application number 202310403694.2 filed on April 7, 2023, and all of its content is incorporated into this application by reference.

[0002] The present invention relates to the field of communication technology, and particularly to a method, apparatus, and storage medium for transmitting and receiving a data set.

Background Art

[0003] Wireless communication systems are widely used in people's daily life and production. For example, wireless communication systems are applied to video transmission, voice transmission, positioning, machine-to-machine communication (M2M) in industrial fields, device-to-device communication (D2D), and communication between vehicles and other devices in the Internet of Vehicles (IoV). More and more extensive applications have also increased the requirements for the transmission reliability, capacity, transmission speed, etc. of wireless communication technology, and at the same time, they have promoted the rapid development of the wireless communication field.

Summary of the Invention

[0004] In a first aspect, embodiments of the present disclosure provide a method for transmitting a data set to a first communication node. The method includes: Therefore, obtaining N samples based on measurement of a reference signal resource set, where N is a positive integer; selecting M samples for constructing a data set from the N samples based on a preset rule, where M is a positive integer not greater than N; and transmitting the data set.

[0005] In a second aspect, embodiments of the present disclosure provide a method for receiving a data set by a second communication node. The method includes: Therefore, The process includes a step of receiving a dataset, which contains M samples, the M samples being selected from N samples based on a predefined rule, where N is a positive integer and M is a positive integer less than or equal to N.

[0006] In a third aspect, an embodiment of the present disclosure provides a communication device located at a first communication node. The communication device is An acquisition unit used to acquire N samples based on measurements of a reference signal resource set, wherein N is a positive integer, A processing unit used to select M samples from N samples to form a dataset based on pre-defined rules, wherein M is a positive integer less than or equal to N, Includes a transmission unit used to send the dataset.

[0007] In a fourth aspect, an embodiment of the present disclosure provides a communication device located at a second communication node. The communication device is A receiving unit used to receive a dataset, wherein the dataset contains M samples, the M samples are selected from N samples based on a predefined rule, N is a positive integer, and M is a positive integer less than or equal to N.

[0008] In a fifth aspect, an embodiment of the present disclosure provides a communication device, the communication device comprising a processor and a memory, the memory storing instructions that can be executed by the processor, and the processor being configured to cause the communication device to execute one of the methods provided in the first or second aspect when executing an instruction.

[0009] In the sixth aspect, an embodiment of the present disclosure provides a computer-readable storage medium. The computer-readable storage medium stores computer instructions, and when the computer instructions are executed on a computer, the computer is caused to execute one of the methods provided in the first or second aspect.

[0010] In the seventh aspect, an embodiment of the present disclosure provides a computer program product including a computer instruction. When the computer instruction is executed on a computer, the computer is caused to perform one of the methods provided in the first or second aspect. [Brief explanation of the drawing]

[0011] [Figure 1] This is a schematic diagram of the architecture of a communication system based on several embodiments. [Figure 2] This is a flowchart illustrating the methods for sending datasets in several examples. [Figure 3] This is a schematic diagram of a scenario in which datasets are sent using several examples. [Figure 4] This is a schematic diagram of bitmap sequences in several examples. [Figure 5] This is a flowchart illustrating several examples of how to receive datasets. [Figure 6] This is a schematic diagram of a communication device according to several embodiments. [Figure 7] This is a schematic diagram of another communication device based on several embodiments. [Figure 8] This is a schematic diagram of yet another communication device based on several embodiments. [Modes for carrying out the invention]

[0012] To enable those skilled in the art to better understand the technical concepts of the embodiments of this disclosure, the technical concepts of the embodiments of this disclosure are described below clearly and completely, together with the drawings of the embodiments of this disclosure. Of course, it is clear that the embodiments described are only a part of the embodiments of this disclosure, and not all of them. All other embodiments that can be obtained by those skilled in the art without any creative work based on the embodiments of this disclosure are all covered by this disclosure.

[0013] In this disclosure, unless otherwise specified, " / " means "or," for example, A / B can mean A or B. In this specification, "and / or" is merely an expression describing a relationship between related objects, indicating that there are three possible relationships, for example, A and / or B can mean A only, B only, and A and B. Furthermore, "at least one" means one or more, and "plural" means two or more. Expressions such as "first," "second," etc. The target to be limited Expressions such as "first," "second," etc., do not necessarily limit the quantity or order of execution. The subject you are trying to limit It does not mean limiting them to being different things.

[0014] In this disclosure, terms such as “exemplary” or “for example” are used to indicate examples, illustrations, or explanations. Any embodiment or design described “exemplary” or “for example” in this disclosure should not be construed as being preferable or advantageous to other embodiments or designs. Rather, the use of terms such as “exemplary” or “for example” is intended to present the relevant concepts in detail.

[0015] In several technologies, artificial intelligence (AI) algorithms have become a crucial technology driving the evolution and performance improvement of the physical layer of wireless communication. Generally, AI algorithms are data-driven technologies; their design and training all depend on large datasets, and the quality of the dataset directly impacts the performance of the AI ​​algorithm and model. Base stations set up and transmit a reference signal resource set for data collection, and terminals measure the set up reference signal resource set to collect data and report the collected data to the base station. At the same time, some of the data collected by terminals may become invalid due to events such as building obstruction or link failure. Because terminals report all the data they collect to the base station, the reporting overhead of the dataset can be large, and the utilization of transmission resources may be relatively low.

[0016] In contrast, embodiments of the present disclosure provide a method for transmitting and receiving a dataset. By screening out some invalid data from the collected data first and then constructing a dataset with the remaining valid data, the reporting overhead of the dataset can be reduced, and the utilization rate of transmission resources can be improved.

[0017] The technical solution according to embodiments of the present disclosure can be applied to various mobile communication networks, such as a new radio (NR) mobile communication network using the 5th generation mobile networks (5G), a future mobile communication network, or a communication fusion system of multiple types, etc. Embodiments of the present disclosure are not limited thereto.

[0018] The network architecture of the mobile communication network (including but not limited to 3G, 4G, 5G, and future mobile communication networks) in embodiments of the present disclosure can include a network-side device (such as, but not limited to, a base station) and a receiving-side device (such as, but not limited to, a terminal). Further, 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, it should be understood that the first communication node may be a terminal-side device, and the second communication node may be a base station-side device. When performing terminal-to-terminal communication between 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 can be abbreviated as the first node and the second node, respectively.

[0019] Exemplarily, taking the case where the network-side device is a base station and the receiving-side device is a terminal as an example, FIG. 1 is a schematic diagram of the architecture of a communication system according to some embodiments. As shown in FIG. 1, the communication system 10 includes a plurality of base stations (for example, base station 21 and base station 22) and a plurality of terminals (for example, terminal 31, terminal 32, terminal 33, and terminal 34). The plurality of base stations and the plurality of terminals are communicatively connected.

[0020] In some embodiments, the base station is used to provide wireless access services to a plurality of terminals. For example, one base station provides one service coverage area (also called a cell). Terminals entering this area can communicate with the base station via wireless signals and receive the wireless access services provided by the base station. There may be overlap between the service coverage areas of base stations, and terminals within the overlapping area can receive wireless signals from multiple base stations. area There may be an overlap, and terminals within the overlapping area can receive wireless signals from multiple base stations.

[0021] In some embodiments, the base station may be connected to a plurality of terminal devices (for example, base station 21 is connected to terminal 31 and terminal 32). Terminal 31 and terminal 32 may be located in the same cell, or terminal 31 and terminal 32 may be located in different cells. That is, one base station can provide network services to terminals within one cell, and can also provide network services to terminals in multiple cells simultaneously.

[0022] In some embodiments, a base station may be a base station or evolutionary base station (eNB or eNodeB) in long-term evolution (LTE), long-term evolution advanced (LTEA), base station equipment in a 5G network, or a base station in a future communication system. A base station may include various macro base stations, micro base stations, home base stations, radio remote devices (RRUs), reconfigurable intelligent surfaces (RISs), routers, wireless fidelity (WIFI) devices, or various network-side devices such as primary cells and secondary cells.

[0023] In some embodiments, the terminal may be a device having wireless transceiver functionality. The terminal may be deployed on land (indoors or outdoors, handheld, wearable, or in-vehicle), on water (e.g., on a ship), or in the air (e.g., on an airplane, balloon, or satellite). The terminal may be a mobile phone, a tablet computer (Pad), a computer with wireless transceiver functionality, 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, and the like. The embodiments of this disclosure are not limited to application scenarios. Terminals may also be referred to as users, user equipment (UE), access terminals, UE units, UE stations, mobile stations, mobile base stations, remote stations, remote terminals, mobile devices, UE terminals, wireless communication devices, UE agents, or UE equipment, but the embodiments of this disclosure are not limited to these.

[0024] In some embodiments, upper-layer signaling includes, but is not limited to, radio resource control (RRC) and media access control-control element (MAC CE), or other upper-layer signaling above the physical layer. Physical layer signaling includes, but is not limited to, downlink control information and uplink control information. For example, physical layer signaling can be transmitted between a base station and a terminal over a physical downlink control channel (PDCCH), and physical layer signaling can also be transmitted between a base station and a terminal over a physical uplink control channel (PUCCH).

[0025] In some embodiments, a parameter indicator is also called an index or identifier (ID), and indicator, identifier, and index are equivalent concepts. For example, a resource identifier in a wireless system is also called a resource indicator or resource index. A resource identifier in a wireless system includes, but is not limited to, one of the identifiers 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 subneural network, or a neural network layer. A base station can instruct a terminal of the identifier of a single resource or a group of resources through various higher-layer signaling or physical-layer signaling. A terminal can feed back the identifier of a single resource or a group of resources to the base station through various higher-layer signaling and / or physical-layer signaling.

[0026] In some embodiments, 「 slot The expression " This refers to a slot or mini slot. Even if you point to it Good. A slot or mini-slot contains at least one symbol. A symbol refers to a subframe, frame, or time unit within a 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.

[0027] In some embodiments, transmission includes sending or receiving. For example, this could be sending data or a signal, or receiving data or a signal.

[0028] In some embodiments, a base station or user needs to transmit a reference signal (RS) to calculate channel state information or to perform channel estimation, mobility management, positioning, etc. The reference signal includes, but is not limited to, channel-state information reference signals (CSI-RS) (e.g., CSI-RS includes zero-power CSI-RS (ZP CSI-RS) and non-zero-power CSI-RS (NZP CSI-RS)), channel-state information-interference measurement (CSI-IM) signals, sounding reference signals (SRS), synchronization signals block (SSB), physical broadcast channel (PBCH), and synchronization signals block / physical broadcast channel (SSB / PBCH). NZP CSI-RS can be used for measuring channels or interference, and CSI-RS can also be used for tracking, referred to as the tracking reference signal (CSI-RS for Tracking, TRS). The CSI-IM signal is typically used to measure interference, and SRS is used to measure uplink channels. Furthermore, a set of resource elements (REs) contained in a time-frequency resource for transmitting a reference signal is called a reference signal resource, and includes, for example, a CSI-RS resource, an SRS resource, a CSI-IM resource, and an SSB resource. In embodiments of this disclosure, the SSB includes a synchronous signal block and / or a physical broadcast channel.

[0029] In some embodiments, to save signaling overhead, etc., multiple reference signal resources may be divided into multiple sets (e.g., CSI-RS resource set, CSI-IM resource set, SRS resource set), each reference signal resource set containing at least one reference signal resource, and all multiple reference signal resource sets can set parameter information from the same reference signal resource setting (e.g., CSI-RS resource setting, SRS resource setting, where the CSI-RS resource setting may be integrated with the CSI-IM resource setting, both referred to as the CSI-RS resource setting).

[0030] In some embodiments, the base station configures measurement resource information. This measurement resource information is used to obtain channel state information. The measurement resource information includes CN channel measurement resource (CMR) information and / or CM interference measurement resource (IMR) information, where CN and CM are positive integers. The base station configures the measurement resource information in one report config or reporting setting. In some examples, one channel measurement resource information includes at least one channel reference signal resource setting (e.g., at least one CSI-RS resource setting or at least one SRS resource setting). One interference measurement resource information includes at least one interference reference signal resource setting (e.g., at least one CSI-IM resource setting). In some examples, one channel measurement resource information includes at least one channel reference signal resource set (e.g., at least one CSI-RS resource set or at least one SRS resource set), and one interference measurement resource information includes at least one interference reference signal resource set (e.g., at least one CSI-IM resource set). In some examples, one Channel measurement resource information includes at least one Channel reference signal resource, e.g., at least one CSI-RS resource or at least one SRS resource, and one interference measurement resource information includes at least one interference reference signal resource, e.g., at least one CSI-IM resource.

[0031] In some embodiments, a beam includes a transmit beam, a receive beam, a pair of receive and transmit beams, and a pair of transmit and receive beams. In some embodiments, a beam can be understood as a type of resource, such as a reference signal resource, a transmit-side spatial filter, a receiver-side spatial filter, a spatial filter, spatial receive parameters, a transmit-side precode, a receiver-side precode, an antenna port, an antenna weight vector, or an antenna weight matrix. Since a beam can be bonded with several time-frequency code resources for transmission, the beam index can be replaced with a resource index (e.g., a reference signal resource index). A beam may also be a transmission (transmit / receive) scheme, which may include spatial division multiplexing, frequency-domain / time-domain diversity, beamforming, etc. Furthermore, the base station may perform quasi-co-location (QCL) settings for two reference signals and notify the user to describe channel characteristic assumptions. The parameters related to the above quasi-collocation include at least Doppler spread, Doppler shift, delay spread, average delay, average gain, and spatial parameters (Spatial Rx parameter, or Spatial parameter). The spatial parameters include spatial reception parameters, angular information, spatial correlation of the received beam, average delay, and correlation of the time-frequency channel response (including phase information). The angular information includes at least one of the angle of arrival (AOA), angle of departure (AOD), ZOD (zenith angle of departure), and ZOA (zenith angle of arrival). Spatial domain filtering may be at least one of a DFT vector, a precoding vector, a DFT matrix, a precoding matrix, a vector consisting of a linear combination of multiple DFTs, or a vector consisting of a linear combination of multiple precoding vectors. . IkuIn some embodiments, a beam pair includes a combination of one transmit beam and one receive beam.

[0032] In some embodiments, artificial intelligence (AI) includes devices, components, software, and modules with self-learning capabilities such as machine learning (ML), deep learning, reinforcement learning, transfer learning, deep reinforcement learning, and meta-learning. In some embodiments, artificial intelligence is realized through an artificial intelligence network (also called a neural network), which comprises multiple layers, each layer containing at least one node. For example, a 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 the following: a fully connected layer, a dense layer, a convolutional layer, a transposed convolutional layer, a directly connected layer, an activation function, a normalization layer, or 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 block (Densenet Block), or a recurrent neural network (RNN). Artificial intelligence networks can be realized through models, which may include neural network models, and a neural network model includes a neural network model structure and / or neural network model parameters, the neural network model structure can be abbreviated as model structure, and the neural network model parameters can be abbreviated as network parameters or model parameters. The model structure defines the architecture of the network, such as the number of layers in the neural network, the size of each layer, activation function, connection state, convolution kernel and its size, convolution step, and convolution type (e.g., 1D convolution, 2D convolution, 3D convolution, dilating convolution, transposed convolution, separable convolution, grouping convolution, expanding convolution, etc.), and the network parameters are the network weights and / or biases of each layer in the neural network model, as well as their values.The model structure can accommodate multiple sets of values ​​for different neural network model parameters to adapt to different scenarios. Neural network model parameters are obtained through online or offline training. For example, the neural network model is trained to obtain neural network model parameters by inputting at least one sample and a label.

[0033] In some examples, a single sample contains P features and Q labels, where P is a positive integer and Q is a non-negative integer. Multiple samples constitute a single dataset. In some examples, for instance, in supervised learning, a single sample contains one feature and one label. In one example, for instance, in unsupervised learning, a single sample has only one feature and no label. In some examples, for instance, in a multi-input, single-output supervised learning network model, a single sample has multiple features and one label. In some examples, for instance, in a single-input, multiple-output supervised learning network model, a single sample contains one feature and multiple labels. In some examples, for instance, in a multi-input, multiple-output supervised learning network model, a single sample contains multiple features and multiple labels. In some examples, a single feature may be an array. In some examples, a single label may also be an array. In some embodiments, the array may be a vector, a matrix, or a tensor greater than two dimensions, and the dimension of the array corresponding to the sample is also called the dimension of the sample array. In some embodiments, each element in the array may be a discrete value, a real value, a real value from 0 to 1, or a real value from -0.5 to 0.5, etc. The array corresponding to the sample can include two array types: row-major array type and column-major array type. In the row-major array type, the elements in the array are arranged in the order of first row, then second row, and so on for subsequent rows. In the column-major array type, the elements in the array are arranged in the order of first column, then second column, and so on for subsequent rows. In some examples, the elements in the array corresponding to the sample are quantized, and samples with different quantization precisions are obtained using different numbers of quantization bits, which are called the quantization precision of the sample.

[0034] In some cases, elements in an array corresponding to labels or features need to be normalized to speed up the convergence of the network model. Normalization means normalizing the values ​​of elements in an array to values ​​within the interval between a and b (a to b). There are various types of normalization for samples; for example, in one example, a=-0.5, b=0.5. In another example, a=0, b=1. In one example, normalization is achieved by dividing the elements in the array by the number that maximizes the absolute value within the elements of this array. In another example, normalization is achieved by dividing the elements in the array by the variance within the elements of this array. In another example, normalization is achieved by dividing the elements in the array by a fixed value (e.g., the maximum value of all elements in all samples). In yet another example, normalization is achieved by dividing the elements in the array by a statistical value (e.g., the statistical variance of all elements in all samples). For example, index values ​​such as beam index, CRI (CSI-RS resource indicator), and SSBRI (Synchronization Signals Block Resource Indicator) can be normalized using one-hot encoding.

[0035] In some embodiments, the model assumes that the data stream between the original input of the sample and the output target is Passed Multiple linear or nonlinear components combination This refers to a so-called model, which includes neural network models, non-artificial intelligence modules or corresponding models for information processing, and functional components or functions that map input information to output information (for example, this mapping includes linear and nonlinear mappings).

[0036] In some examples, each model is a model indicator. r) or model identifier fierThis corresponds to the Model ID. In some embodiments, the model identifier may further have one other equivalent name or concept, such as the model index, first identifier, feature identifier, or model indicator.

[0037] In some examples, a model includes a model structure and model parameters. For example, a model is a neural network model, which includes a neural network model structure and neural network model parameters used to describe the structure of the neural network and the values ​​of the parameters of the neural network, respectively. One neural network model structure can correspond to multiple neural network model parameters; that is, the neural network model structure may be the same, but the values ​​of the corresponding neural network model parameters may be different.

[0038] In some cases, base stations and terminals need to acquire measurement parameters to better transmit data or signals. These measurement parameters may include channel state information or other parameters for characterizing a channel. Channel state information may include at least one of the following: channel state information - reference signal resource indicator (CSI-RS resource indicator, CRI), synchronization signals block resource indicator (SSBRI), Layer 1 reference signal received power (L1-RSRP or RSRP), differential RSRP, Layer 1 signal to interference noise ratio (L1-SINR or SINR), differential L1-SINR, reference signal received quality (RSRQ), channel quality indicator (CQI), precoding matrix indicator (PMI), layer indicator (LI), rank indicator (RI), and precoding information. The precoding information includes a first type of precoding information, such as codebook-based precoding information. In some embodiments, a precoding matrix indicator is one of the codebook-based precoding information. The precoding information further includes methods for non-codebook-based implementations. For example, a second type of precoding information The report is This is pre-coded information obtained based on advanced technologies such as AI.

[0039] In some embodiments, the terminal and base station transmit channel state information that matches channel information through a first type of precoding information. The first type of precoding information is precoding information constructed based on a conventional channel feature matrix or the quantized values ​​of the feature matrix. For example, examples of precoding information implemented by a codebook-based method include the codebook for N antennas in LTE (in some embodiments, N=2, 4, 8, 12, 16, 24, 32, etc.), and the type I codebook, type II codebook, type II port selection codebook, enhanced type II codebook, enhanced type II selection codebook, and further enhanced type II selection codebook in NR. In some embodiments, the codebook contains L codewords, and the main principle is that the base station and terminal pre-store the L codewords according to a predetermined formula, table, or dictionary. In some embodiments, a codeword is a vector. In some embodiments, a codeword is a matrix, and the matrix contains r columns, each of which is also a vector. In some embodiments, each column of the matrix is ​​orthogonal to the others. In some examples, the vectors that make up the codeword are a single 0-1 vector, i.e., the entire vector has only one value of 1 and all other values ​​of 0. In some examples, the vectors that make up the codeword are a single Discrete Fourier Transform (DFT) vector. In some examples, the vectors that make up the codeword are obtained by the tensor (kronecker) product of two or more DFT vectors. In some examples, the vectors that make up the codeword are obtained by multiplying two or more DFT vectors by different phase rotations and then combining them. In some examples, the vectors that make up the codeword are obtained by multiplying two or more DFT vectors by a tensor (kronecker) product and a phase rotation.The base station or the terminal searches for L codewords to find the codeword that best matches this terminal channel information as the optimal codeword and transmits data or signals. In some embodiments, the channel information matching codeword includes at least one of the following: the distance between the codeword and the channel information is minimized, the correlation between the codeword and the channel information is maximized, the distance of the optimal right singular vector or matrix between the codeword and the channel information is minimized, the correlation of the optimal right singular vector or matrix between the codeword and the channel information is maximized, the signal-to-noise ratio obtained by the calculation between the codeword and the channel information is maximized, etc., but is not limited thereto. L is an integer greater than 1, and usually, L is greater than the number of transmit antennas.

[0040] In some examples, the terminal and the base station transmit channel state information that matches the channel information through the second type of precoding information, and the second type of precoding information obtains the channel state information based on AI. In one example, the base station and the terminal obtain the channel state information through the encoder of the autoencoder. The autoencoder includes an encoder and a decoder. The encoder is on the terminal side, and the decoder is on the base station side. The terminal compresses the channel information H obtained through the encoder to obtain compressed H1, quantizes the compressed H1, and feeds it back to the base station. The base station receives the quantized H1, inverse quantizes it, and inputs it to the decoder. The decoder expands the inverse quantized H1 to restore H. In one example, H includes K0 elements. The terminal selects K elements from H as H1, feeds back the quantization of H1, the base station receives the K quantized elements and inverse quantizes them, inputs the K inverse quantized elements into the network model, and the network model outputs K0 elements as the restoration of H, thereby obtaining the precoding matrix of the above H. K and K0 are integers greater than 1, and K < K0. In some embodiments, encoderThe K elements selected from H1 or H obtained through this process are all second-type precoding information. Also, for simplicity, the quantized H1 is also called second-type precoding information. In one example, second-type precoding information is a precoding matrix that is different from first-type precoding information and is generated by other non-AI methods. In another example, second-type precoding information is a precoding matrix other than the first-type precoding information described above.

[0041] In some examples, channel information is information describing the channel environment between communication nodes, obtained based on a reference signal (e.g., CSI-RS), such as a time-domain channel matrix and a frequency-domain channel matrix. In some examples, channel information is a single complex matrix, the size of which is related to the number of transmitting antennas Nt, the number of receiving antennas Nr, and the resource element (RE). For example, a physical resource block may have at least one Nr × Nt channel matrix.

[0042] In some embodiments, the beam parameter information is the Layer 1 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 Layer 1 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 beam angle (at least one of AOA, ZOA, AOD, ZOD, etc., also called horizontal arrival angle, vertical arrival angle, horizontal departure angle, vertical departure angle, etc., 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, beam parameter information is a transmit-receive beam pair index (abbreviated as beam pair index or beam pair) corresponding to at least one beam. In some embodiments, beam parameter information is a beam domain receive power map (BDRPM) corresponding to at least one beam. In some embodiments, beam parameter information is a channel state information reference signal resource indicator (CSI-RS Resource Indicator, CRI) corresponding to at least one beam. In some embodiments, beam parameter information is a 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 or decibel (DB) value of one of RSRP, RSRQ, and SINR.

[0043] In some examples, the positional parameter information includes, but is not limited to, at least one of the following: transmission time-related information, angle-related information, received reference signal quality-related information, multipath-related information, and the coordinates of the first node (including absolute and relative coordinates).

[0044] In some embodiments, the transmission time-related information includes at least one of the following: Time of Arrival (TOA), Reference Signal Time Difference (RSTD), Relative Time of Arrival (RTOA), Rx-Tx time difference, and Tx-Rx time difference.

[0045] In some examples, angle-related information includes the angle of arrival (AOA), angle of departure (AOD), the zenith angle of arrival (ZOA), and the azimuth angle. Angle of arrival AAoA (Azimuth angle of Birth The launch angle includes at least one of the following: the departure zenith angle ZOD (Zenith angle of Departure) and the departure azimuth angle AAoD (Azimuth angle of Departure). e) Includes.

[0046] In some examples, the received reference signal quality-related information includes at least one of the following: Reference Signal Received Power (RSRP or L1-RSRP), SINR (or L1-SINR), CQI, SNR, and RSRQ.

[0047] In some examples, multipath connection The information includes, but is not limited to, at least one of the following: increase in the number of paths, increase in the relative delay of paths, increase in multipath power, increase in the time-domain response of multipaths, increase in the real and imaginary parts of the time-domain response of multipaths, the path with the strongest power, the first path, the N paths with the strongest power, the time and / or RSRP corresponding to the N paths with the strongest power, the N paths within a time window, the time and / or RSRP corresponding to the N paths within a time window, the N paths exceeding a threshold, the time and / or RSRP corresponding to the N paths exceeding a threshold, and a line-of-sight / out-of-line indicator (LoS / NLoS indicator).

[0048] In some examples, beam parameter information is a subset of channel state information; that is, beam parameter information is channel state information. Channel state information also belongs to the measurement parameters. In some examples, measurement parameters, channel state information, and beam parameter information all belong to the measurement results, processing results, or generated results.

[0049] In some examples, channel state information is transmitted at the physical layer. Terminals and base stations define a CSI report (CSI report or CSI report config), which defines at least one parameter of information such as the time-frequency resources used to feed back the CSI, the report quality (report Quantity) included in the CSI, the time-domain type (report ConfigType) of the CSI feedback, the channel measurement resources, the interference measurement resources, and the measured bandwidth size. CSI reports can be transmitted over uplink transmission resources including PUSCH (Physical Uplink Shared Channel) and PUCCH, and CSI reports further include time-domain characteristics, including periodic CSI reports (P-CSI), aperiodic CSI reports (AP-CSI), and semi-persistent CSI reports (SP-CSI). Generally, P-CSI transmits a relatively small number of bits and is transmitted over PUCCH, while AP-CSI transmits a relatively large number of bits and is generally transmitted over PUSCH. SP-CSI can be based on transmission over PUSCH or PUCCH. PUCCH-based P-CSI is generally set by upper-layer signaling (e.g., Radio Resource Control, RRC), and PUCCH-based SP-CSI is also set, activated, or deactivated by upper-layer signaling (RRC and / or MAC CE). PUCCH-based SP-CSI is activated or deactivated by physical layer signaling (e.g., Downlink control information, DCI). AP-CSI is triggered by DCI, which is generally transmitted over the Physical Downlink Control Channel (PDCCH).

[0050] In some embodiments, a base station configures a terminal with NC CSI reports that need to be fed back to the base station through upper-layer signaling and / or physical-layer signaling, each CSI report having an identifier (identity, ID) called CSI reportID, and the terminal can select MC CSI reports from the NC CSI reports depending on its own computing or processing power and the requirements of the base station. Furthermore, based on the uplink-feedback resources, at least one of these MC CSI reports is fed back, where NC and MC are positive integers and MC <= NC. In one example, MC CSI reports need to be fed back, but the feedback resources for at least two of the above MC reports are in conflict, and the conflict of the feedback resources for the two reports means that at least one of the corresponding transmission resources (e.g., PUCCH or PUSCH) for feeding back the two reports has the same symbol and / or at least one subcarrier is the same. In embodiments of this disclosure, a feedback CSI may also be called a transmission CSI or a transmit CSI, for example, channel status information is carried over an uplink transmission resource for feedback or transmission. Both the uplink transmission resource and the corresponding CSI are indicated by a single channel status information report. In embodiments of this disclosure, feedback or transmission of a CSI report means feedback of the channel status information of the CSI report setting. For example, feedback or transmission of a CSI report means transmission of the content of the CSI report setting that needs to be transmitted through a transmission resource.

[0051] In some examples, uplink transmission resources are allocated (or scheduled) to a first node by upper-layer signaling and / or physical-layer signaling, and these uplink transmission resources are used to transmit uplink data (e.g., channel status information or datasets). There are two methods for allocating (or scheduling) uplink transmission resources to a first node by upper-layer signaling and / or physical-layer signaling (e.g., Dynamic Grant (DG) method (sometimes also called Dynamically allocate resources) and Configured Grant (CG) method), and configured grants include two types (e.g., Configured Grant Type 1 (or first type configured grant) directed by upper-layer signaling, and Configured Grant Type 2 (or second type configured grant) directed by upper-layer and physical-layer signaling), while dynamic grants are directed by physical-layer signaling. In some cases, the terminal transmits data using parameters determined by configured grant type 1. The base station transmits parameters such as the time-frequency resource location, CG resource period, number of Hybrid-Automatic-Repeat-Request (HARQ) processes using the CG resource, and modulation and coding scheme (MCS) to the terminal via RRC signaling. The terminal stores these parameters as a configured uplink grant, and after configuring configured grant type 1 via RRC signaling, the terminal can use the transmission resources corresponding to this configured grant for uplink data transmission. In some cases, the terminal transmits data using parameters determined by configured grant type 2.The base station transmits parameters such as the period of the configured grant type 2 CG resource, the number of HARQ processes using the CG resource, and which MCS table to use to the terminal via RRC signaling. However, the location of the time-frequency resource and the MCS index value are transmitted from the base station to the terminal via DCI, where the terminal stores them as configured uplink grants. The base station then enables or deactivates the terminal's uplink data transmission operation via physical layer signaling.

[0052] In some cases, information such as channel status information and datasets is transmitted through the upper layer. The transmission resources for uplink data transmission by the upper layer have two scheduling methods (e.g., Dynamic Grant (DG) and Configured Grant (CG)), with Configured Grant each having two types: Configured Grant Type 1 and Configured Grant Type 2. In some cases, the terminal transmits data according to the parameters determined by Configured Grant Type 1. The base station transmits parameters such as the time-frequency resource position, CG resource period, number of Hybrid Automatic Retransmission Request (HARQ) processes using CG resources, and MCS to the terminal via RRC signaling, and the terminal then configures the configured uplink grant. The grant type 1 is stored as a grant, and after setting the grant type 1 via RRC signaling, the terminal can use the transmission resources corresponding to this grant for uplink data transmission. In some examples, the terminal transmits data according to the parameters determined by the grant type 2. The base station transmits parameters such as the period of the CG resource for grant type 2, the number of HARQ processes using the CG resource, and which MCS table to use to the terminal via RRC signaling, while the time-frequency resource location, MCS index value, etc., are transmitted from the network equipment to the terminal via DCI and stored by the terminal as a grant, and the base station enables or deactivates the terminal's uplink data transmission operation via physical layer signaling.

[0053] As shown in Figure 2, an embodiment of the present disclosure provides a method for transmitting a dataset, the method comprising the following steps S101 to S103.

[0054] S101, the first communication node takes N samples based on measurements of the reference signal resource set, where N is a positive integer.

[0055] In some embodiments, a first communication node can perform measurements on a reference signal resource set configured by a second communication node and obtain measurement results. A single measurement of the reference signal resource set may constitute a single sample. The reference signal resource set includes at least one reference signal resource. The reference signal resource may, but is not limited to, periodic, semi-persistent, or aperiodic.

[0056] In some embodiments, the second communication node can configure multiple reference signal resource sets; for example, the second communication node can configure a first reference signal resource set and a second reference signal resource set. The first communication node can perform measurements on different reference signal resource sets to acquire different samples.

[0057] S102, the first communication node selects M samples from N samples to form a dataset based on pre-configured rules, where M is a positive integer less than or equal to N.

[0058] Pre-configured rules may, but are not limited to, those set by a higher layer, pre-configured, or pre-defined. For example, pre-configured rules followed by a first communication node may be set by a second communication node. Alternatively, pre-configured rules followed by a first communication node may be set by the first communication node itself.

[0059] In some examples, the pre-configured rules state that the first sample in the dataset is, The first sample must be a valid sample. The second sample, which is related to the first sample, is a valid sample, and The first sample satisfies at least one of the time selection conditions, The first sample is any sample in the dataset.

[0060] In some embodiments, a valid sample satisfies at least one of the following conditions:

[0061] Requirement 1: The sample parameters of a valid sample satisfy the corresponding parameter threshold requirements.

[0062] If a sample parameter is a positive indicator, satisfying the parameter threshold requirement means that the sample parameter is above the parameter threshold. If a sample parameter is a negative indicator, satisfying the parameter threshold requirement means that the sample parameter is below the parameter threshold. Positive indicators are those where a higher value indicates a better evaluation, while negative indicators are those where a lower value indicates a worse evaluation.

[0063] Parameter thresholds may, but are not limited to, set by a higher layer, pre-configured, or predefined. For example, parameter thresholds may be set by a second communication node for the first communication node. It should be understood that each sample parameter may have a corresponding parameter threshold, and different sample parameters may correspond to different parameter thresholds.

[0064] For example, if, during the measurement process of a single reference signal resource set, all measurement results for the reference signal resources in that set (e.g., RSRP / SINR / RSRQ / CQI / channel matrix / eigenvectors corresponding to the channel matrix / codebook corresponding to the channel matrix) are higher than a pre-set parameter threshold, then the samples obtained in this measurement can be considered valid samples.

[0065] Requirement 2: The number of valid samples that satisfy the parameter threshold requirement is greater than the first numerical threshold.

[0066] For example, assuming that the reference signal resource set contains 10 reference signal resources (e.g., reference signal resource #0 to reference signal resource #9) and the first number threshold is 5, if during the measurement process of the reference signal resource set, we measure that the measurement results for reference signal resources #0 to reference signal resource #6 (e.g., RSRP / SINR / RSRQ / CQI / channel matrix / eigenvectors corresponding to the channel matrix / codebook corresponding to the channel matrix) are all higher than the pre-set parameter threshold, and we can obtain that the number of sample parameters that satisfy the reference threshold requirement (i.e., 6) is greater than the first number threshold (i.e., 5), then the samples obtained in this measurement can be considered valid samples.

[0067] Requirement 3: Of the valid samples, all sample parameters of type 1 satisfy the parameter threshold requirements.

[0068] Requirement 4: Of the valid samples, all Type 2 sample parameters satisfy the parameter threshold requirements.

[0069] Requirement 5: Of the valid samples, the number of Type 1 sample parameters that satisfy the parameter threshold requirement is greater than the Number 2 threshold.

[0070] Requirement 6: Of the valid samples, the number of Type 2 sample parameters that satisfy the parameter threshold requirement is greater than the Number 3 threshold.

[0071] The first type of sample parameters are obtained based on measurements of the first type of reference signal resource in the reference signal resource set, and the second type of sample parameters are obtained based on measurements of the second type of reference signal resource in the reference signal resource set or the reference signal resource set itself.

[0072] It should be understood that the division of a reference signal resource set into first-type and second-type reference signal resources can be determined based on configuration, pre-configuration, or pre-definition by higher layers. For example, a second communication node may send first instruction information to the first communication node to indicate the indices of the first-type and / or second-type reference signal resources in the reference signal resource set. As another example, the first communication node may use some of the reference signal resources in the reference signal resource set as first-type reference signal resources and other parts of the reference signal resources in the reference signal resource set as second-type reference signal resources, based on the size of the resource index. For example, the first communication node may use the top P reference signal resources with the largest or smallest resource index in the reference signal resource set as first-type reference signal resources and the remaining reference signal resources as second-type reference signal resources.

[0073] In some embodiments, the first type of sample parameter may be input data or feature data of an information processing method (e.g., an artificial intelligence model). The second type of sample parameter may be output data or label data of an information processing method.

[0074] In some embodiments, during a single measurement of a reference signal resource set, the measurement results of all or some of the first type reference signal resources (e.g., RSRP / SINR / RSRQ / CQI / channel matrix / eigenvectors corresponding to the channel matrix / codebook corresponding to the channel matrix) can be used as first type sample parameters. For example, the measurement results of all first type reference signal resources can be used as first type sample parameters, or the top P measurement results of the first type reference signal resources can be used as first type sample parameters, where P is a positive integer. The measurement results of all or some of the second type reference signal resources can be used as second type sample parameters. For example, the top P measurement results of the second type reference signal resources can be used as second type sample parameters, or the measurement results of all or some of the reference signal resource sets can be used as second type sample parameters. For example, the top P measurement results of the reference signal resource set can be used as second type sample parameters.

[0075] The first communication node can understand that it can determine whether a sample is a valid sample based on the sample parameters of the sample and the corresponding parameter threshold. If a sample does not meet the requirements that a valid sample must satisfy, it is likely to experience significant interference during the measurement process, resulting in relatively low accuracy of the measurement result (i.e., the sample). Therefore, this sample is considered invalid and can be further excluded from the dataset.

[0076] In some embodiments, the first sample is a sample obtained based on measurements of the first reference signal resource set, and the second sample is a sample obtained based on measurements of the second reference signal resource set. The first and second reference signal resource sets are related. Based on this, there is a related relationship between the first and second samples.

[0077] The relationship between the first reference signal resource set and the second reference signal resource set includes a time constraint between the first reference signal resource set and the second reference signal resource set, and this time constraint conditions This refers to the transmission time, measurement time, or measurement of two reference signal resource sets. result It is used to limit reporting time.

[0078] In some embodiments, the relationship between the first reference signal resource set and the second reference signal resource set is as follows: The transmission time of the first reference signal resource set and the transmission time of the second reference signal resource set must be within the same time unit or adjacent time units. The difference between the transmission time of the first reference signal resource set and the transmission time of the second reference signal resource set is less than the first predetermined time threshold. The measurement time for the first reference signal resource set and the measurement time for the second reference signal resource set must be within the same time unit or adjacent time units. The difference between the measurement time of the first reference signal resource set and the measurement time of the second reference signal resource set must be less than the second predetermined time threshold. The measurement result reporting time for the first reference signal resource set and the measurement result reporting time for the second reference signal resource set must be within the same time unit or adjacent time units, and At least one of the following conditions is met: the difference between the measurement result reporting time of the first reference signal resource set and the measurement result reporting time of the second reference signal resource set is less than a third predetermined time threshold.

[0079] It should be understood that the data that needs to be collected for model training and fine-tuning mainly includes feature data and label data. Therefore, the second communication node can set up two interrelated reference signal resource sets (i.e., the first and second reference signal resource sets) with respect to the first communication node to collect feature data and label data, respectively. Thus, if a sample obtained by measuring one reference signal resource set is discarded due to relatively poor quality, a sample obtained by measuring another reference signal resource set should also be discarded, even if it is a valid sample. This improves the transmission efficiency of the dataset and increases the utilization rate of transmission resources.

[0080] Several studies have shown that the time selection criteria include at least one of the following:

[0081] Condition 1: All samples within the time window corresponding to the first sample are valid samples.

[0082] Exemplary, a time window is a fixed time interval set or predefined by a second communication node (e.g., a base station), and the setting of a time window includes the time window period, the start time or slot offset of the time window, and the duration of the time window. To illustrate with an example in conjunction with Figure 3, typically three samples can be collected within one time window. If three valid samples are collected within time window 2, the three samples in time window 2 can be included in the dataset. If two valid samples and one invalid sample are collected within time window 1, all three samples in time window 1 are discarded, meaning the three samples in time window 1 are not included in the dataset.

[0083] Condition 2: The number of valid samples within the time window corresponding to the first sample is greater than the fourth numerical threshold.

[0084] Exemplary, a time window is a fixed time interval set or predefined by a second communication node (e.g., a base station), and the setting of a time window includes the time window period, the start time or slot offset of the time window, and the duration of the time window. To illustrate with an example in conjunction with Figure 3, normally three samples can be collected within one time window, but in time window 3, only two valid samples are collected and the other sample is not collected, so both samples in time window 3 are discarded.

[0085] Condition 3: At least P1 valid samples exist within a first predetermined period prior to the time corresponding to the first sample. P1 is a positive integer. The first predetermined period and the value of P1 may, but are not limited to, those set, pre-set, or pre-defined by a higher layer.

[0086] Condition 4: Within a second predetermined period following the time corresponding to the first sample, there exist at least P2 valid samples. P2 is a positive integer. The second predetermined period and the value of P2 may, but are not limited to, be set, pre-set, or pre-defined by a higher layer.

[0087] Condition 5: All P3 consecutive samples, including the first sample, within the third predetermined period are valid samples. P3 is a positive integer. The third predetermined period and the value of P3 may, but are not limited to, those set by a higher layer, pre-set, or pre-defined.

[0088] Condition 6: All P4 consecutive samples, including the first sample, are valid samples. P4 is a positive integer. The value of P4 may, but is not limited to, be set by a higher layer, pre-set, or pre-defined.

[0089] Condition 7: For an observation window consisting of P5 consecutive valid samples including the first sample, there exist at least P6 consecutive samples within a fourth predetermined period after the time corresponding to the last sample in the observation window. P5 and P6 are all positive integers. The fourth predetermined period, the value of P5, and the value of P6 may, but are not limited to, be set, pre-set, or pre-defined by a higher layer.

[0090] Condition 8: For a prediction window consisting of P7 consecutive valid samples including the first sample, at least P8 consecutive samples exist within a fifth predetermined period prior to the time corresponding to the first sample in this prediction window. P7 and P8 are all positive integers. The fifth predetermined period, the value of P7, and the value of P8 may, but are not limited to, those set by a higher layer, pre-set, or pre-defined.

[0091] In some embodiments, the acquisition of the above-mentioned successive samples may be based on measurements of one reference signal resource set, or on measurements of multiple interrelated reference signal resource sets.

[0092] The time corresponding to the first sample indicates either the transmission time, measurement time, or measurement result reporting time of the reference signal resource set corresponding to the first sample.

[0093] In some embodiments, the first sample corresponds to different time selection criteria when it is located in a different time domain within the time window. Exemplarily, the time window is a fixed time interval set or predefined by a second communication node (e.g., a base station), and the setting of the time window includes the time window period, the start time or slot offset of the time window, and the duration of the time window.

[0094] For example, if the first sample is the last sample within the time window, the time selection corresponding to the first sample conditionsThis includes the existence of at least a first predetermined number of valid samples within a first predetermined period prior to the time corresponding to the first sample.

[0095] For example, if the first sample is the first sample within the time window, then the time selection corresponding to the first sample conditions This includes the existence of at least a second predetermined number of valid samples within a second predetermined period following the time corresponding to the first sample.

[0096] For example, if the first sample is a sample other than the first and last sample in the time window, then the time selection corresponding to the first sample conditions This includes the condition that at least a first predetermined number of valid samples exist within a first predetermined period prior to the time corresponding to the first sample, and at least a second predetermined number of valid samples exist within a second predetermined period after the time corresponding to the first sample.

[0097] Regarding time-domain prediction models, it should be understood that they predict channel state or beam information at one or more future time points based on channel measurement results at multiple past time points. Therefore, the data required for training and fine-tuning time-domain prediction models mainly consists of two parts: feature data and label data. Feature data consists of samples from multiple time points within an observation window, and label data consists of samples from one or more time points within a prediction window. Therefore, in training the model, it is necessary to collect all samples within the same observation and prediction windows, and if any one of all samples is discarded due to relatively poor quality, or if a sample at a certain time point is not collected for any reason (e.g., the reference signal resource is not transmitted or measured), all other samples within the relevant time point should be discarded. This improves the transmission efficiency of the dataset and improves the utilization of transmission resources.

[0098] In some embodiments, a sample may include measurement results corresponding to a target reference signal resource within a reference signal resource set. For example, all reference signal resources within a reference signal resource set can be used as target reference signal resources. Alternatively, some reference signal resources within a reference signal resource set can be used as target reference signal resources. The target reference signal resource may be determined based on configuration, pre-configuration, or pre-definition by a higher layer.

[0099] In some embodiments, a second communication node can transmit second instruction information to a first communication node, which is used to indicate a target reference signal resource. That is, when setting up a reference signal resource set, the second communication node can additionally identify the reference signal resource to determine whether the sample should include measurement results corresponding to that reference signal resource set, or whether measurement results corresponding to that reference signal resource should be reported. For example, if the transmission method corresponding to a reference signal resource (e.g., a transmitting beam) belongs to the set of transmission methods used for model input data acquisition, then measurement results corresponding to that reference signal resource should be reported, and therefore, when setting up the reference signal resource set, that reference signal resource can be additionally identified as 1. If the transmission method corresponding to a reference signal resource does not belong to the set of transmission methods used for model input data acquisition, then when setting up the reference signal resource set, that reference signal resource can be additionally identified as 0, or not identified at all. Exemplarily, the transmission method may include a beam.

[0100] In some embodiments, the target reference signal resource may be the top Q reference signal resources in the reference signal resource set, sorted by resource index. The sorting by index may be in descending order of index or in ascending order of index. Q is a positive integer, and the value of Q may be set, preset, or predefined by a higher layer, but is not limited to these.

[0101] In some embodiments, the target reference signal resource may be the top K reference signal resources in the reference signal resource set with the highest measurement index. K is a positive integer, and the value of K may be set, preset, or predefined by a higher layer, but is not limited to these.

[0102] In some embodiments, the target reference signal resource may be the top K reference signal resources from the reference signal resource set whose measurement index is the highest outside of the reference signal resource subset, and / or all reference signal resources of the reference signal resource subset. K is a positive integer, and the value of K and the reference signal resource subset may be, but are not limited to, indicated by the second communication node, set by the upper layer, pre-configured, or pre-defined.

[0103] In some embodiments, the target reference signal resource may be the top K reference signal resources with the highest measurement index in the reference signal resource set, and / or all reference signal resources in a subset of reference signal resources. K is a positive integer, and the value of K and the subset of reference signal resources may be, but are not limited to, indicated by the second communication node, set by the upper layer, pre-configured, or pre-defined.

[0104] In some embodiments, during the spatial domain prediction process, the above measurement results are referred to as beam quality information, and the measurement results may include a resource index and a measurement index. The resource index may be CRI or SSBRI. The measurement index may be RSRP or SINR.

[0105] During the spatial domain prediction process, it should be understood that the model can predict quality information for all transmission methods based on the measurement results of some transmission methods (e.g., the transmit beam or the receive beam or a pair of transmit and receive beams). The data required for training and fine-tuning the spatial domain prediction model mainly consists of two parts: feature data and label data. Feature data is the measurement results of some transmission methods by the first communication node. Label data is the measurement results of the top K transmission methods with the best quality among all transmission methods, or the measurement results of all transmission methods. The measurement results of a transmission method are the measurement results of the reference signal resource corresponding to that transmission method. Therefore, the method for determining the target transmit resource can be negotiated or predetermined between the second and first communication nodes, so that the first communication node can report valid samples to the second communication node for training and fine-tuning the spatial domain prediction model.

[0106] S103, the first communication node transmits the dataset.

[0107] In some embodiments, during the data acquisition phase, a second communication node can configure a periodically transmitted set of reference signal resources, i.e., the second communication node transmits reference signal resources of the same set of reference signal resources at different times. Terminals can perform measurements on the same set of reference signal resources at different times and acquire corresponding samples. In this way, multiple samples are measured and acquired at different times. The first communication node can simultaneously report multiple samples measured at different times to the second communication node during the reporting process of a single dataset, and the second communication node can acquire time information about the samples in the dataset so that it can better utilize the samples in the dataset. In this regard, the first communication node can explicitly or implicitly notify the second communication node of time information about the samples in the dataset.

[0108] In some embodiments, the implicit method may be, for example, that M samples in the dataset are transmitted sequentially in order of measurement time. For example, the M samples are transmitted sequentially in order of earliest measurement time, or the M samples are transmitted sequentially in order of latest measurement time. Since the second communication node knows the transmission time or transmission period of the reference signal resource set, the second communication node should understand that it can obtain time information for M samples in order of reception of M samples in the dataset.

[0109] For example, the M samples in the dataset may be transmitted sequentially in order of measurement time, and for instance, the M samples in the dataset may be sorted within the message carrying the dataset in order of measurement time.

[0110] In some embodiments, an explicit scheme is that the first communication node can transmit time information for M samples within the dataset, in addition to transmitting the dataset. The time information for a sample includes the transmission time, measurement time, or measurement result reporting time of the reference signal resource set corresponding to the sample.

[0111] In some embodiments, the explicit method may involve a first communication node transmitting a bitmap sequence, the bitmap sequence containing a plurality of indicator bits, the indicator bits being used to indicate whether the dataset contains samples collected at the time corresponding to the indicator bits. For example, a first value (e.g., 0) for the indicator bit indicates that the dataset does not contain samples collected at the time corresponding to the indicator bit, and a second value (e.g., 1) indicates that the dataset contains samples collected at the time corresponding to the indicator bit. Exemplaryly, as shown in Figure 4, the first communication node should normally be able to collect six valid samples, but for some reason samples 3 and 6 are discarded or not collected, and the dataset contains only samples 1, 2, 4, and 5. Thus, the bitmap sequence reported by the first communication node may be 110110.

[0112] In the above embodiment, the first communication node selects M samples that satisfy the requirements from N samples based on pre-set rules to construct a dataset. This ensures that the dataset fed back from the first communication node to the second communication node does not contain any unnecessary samples, improving the transmission efficiency of the dataset and reducing the overhead of transmission resources.

[0113] Figure 5 shows the second communication node Therefore, The following is a method for receiving a dataset, based on several examples, and this method includes the following steps.

[0114] S201, the second communication node, receives the dataset.

[0115] The dataset contains M samples, which are selected from N samples based on predefined rules, where M is a positive integer less than or equal to N. The explanation of the predefined rules can be found above; therefore, the explanation is omitted here.

[0116] Furthermore, the above N samples may be acquired based on measurements of a reference signal resource set, and the acquisition method can also be described above; however, the explanation is omitted here.

[0117] In some embodiments, the second communication node can determine the time information of M samples in the dataset according to the order in which the M samples were received.

[0118] In some embodiments, the second communication node can receive time information for M samples in the dataset.

[0119] In some embodiments, a second communication node can receive a bitmap sequence to obtain time information for M samples in a dataset. The bitmap sequence includes a plurality of indicator bits, which are used to indicate whether the dataset contains samples collected at the time corresponding to the indicator bits.

[0120] In the above embodiment, since the dataset received by the second communication node contains only M selected samples, it can be considered that the dataset does not contain any unnecessary samples. This improves the transmission efficiency of the dataset and reduces the overhead of transmission resources.

[0121] Furthermore, a detailed explanation of S201 can be found in the explanations of S101 to S103 above, and will be omitted here.

[0122] The above describes the solutions provided by this disclosure primarily in terms of the interactions between each node. It should be understood that each node, for example, the second node and the first node, includes hardware structures and / or software modules corresponding to the execution of each function in order to realize the above functions. Those skilled in the art will readily understand that by combining the algorithmic steps of each example described in the embodiments disclosed herein, the invention can be realized in the form of hardware or a combination of hardware and computer software. Whether a function is performed by hardware or by computer software driving the hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art may realize the described functions using different methods for each specific application, but such realizations should not be considered beyond the scope of the invention.

[0123] Figure 6 is a schematic diagram of a communication device according to several embodiments. As shown in Figure 6, the communication device 60 includes an acquisition unit 601, a processing unit 602, and a transmission unit 603. The communication device 60 may be the first communication node described above, or it may be a chip within the first communication node. When the communication device 60 is used to realize the functions of the first communication node in the above embodiments, each unit is used to realize, for example, the following functions.

[0124] In some embodiments, the acquisition unit 601 is used to acquire N samples, where N is a positive integer. The processing unit 602 is used to select M samples from the N samples to form a dataset, based on pre-defined rules, where M is a positive integer less than or equal to N. The transmission unit 603 is used to transmit the dataset.

[0125] In some embodiments, a predefined rule indicates that the first sample in the dataset satisfies at least one of the following conditions: the first sample is a valid sample, the second sample associated with the first sample is a valid sample, and the first sample satisfies a time-selection condition, where the first sample is any sample in the dataset.

[0126] In some embodiments, a valid sample satisfies at least one of the following conditions: the sample parameters of the valid sample satisfy the corresponding parameter threshold requirement; the number of sample parameters of the valid sample that satisfy the parameter threshold requirement is greater than the first numerical threshold; all sample parameters of type 1 of the valid sample satisfy the parameter threshold requirement; all sample parameters of type 2 of the valid sample satisfy the parameter threshold requirement; the number of sample parameters of type 1 that satisfy the parameter threshold requirement is greater than the second numerical threshold; and the number of sample parameters of type 2 that satisfy the parameter threshold requirement is greater than the third numerical threshold. The sample parameters of type 1 are obtained based on measurements of type 1 reference signal resources in a reference signal resource set, and the sample parameters of type 2 are obtained based on measurements of type 2 reference signal resources in a reference signal resource set or the reference signal resource set itself.

[0127] In some embodiments, the first sample is a sample obtained based on measurements of the first reference signal resource set, the second sample is a sample obtained based on measurements of the second reference signal resource set, and the first and second reference signal resource sets are related.

[0128] In some embodiments, the relationship between a first reference signal resource set and a second reference signal resource set satisfies at least one of the following conditions: the transmission time of the first reference signal resource set and the transmission time of the second reference signal resource set are within the same time unit or adjacent time unit; the difference between the transmission time of the first reference signal resource set and the transmission time of the second reference signal resource set is less than a first predetermined time threshold; the measurement time of the first reference signal resource set and the measurement time of the second reference signal resource set are within the same time unit or adjacent time unit; the difference between the measurement time of the first reference signal resource set and the measurement time of the second reference signal resource set is less than a second predetermined time threshold; the measurement result reporting time of the first reference signal resource set and the measurement result reporting time of the second reference signal resource set are within the same time unit or adjacent time unit; and the difference between the measurement result reporting time of the first reference signal resource set and the measurement result reporting time of the second reference signal resource set is less than a third predetermined time threshold.

[0129] In some embodiments, the time selection condition includes at least one of the following: all samples within the time window corresponding to the first sample are valid samples; the number of valid samples within the time window corresponding to the first sample is greater than a fourth numerical threshold; at least P1 valid samples exist within a first predetermined period prior to the time corresponding to the first sample, where P1 is a positive integer; at least P2 valid samples exist within a second predetermined period after the time corresponding to the first sample, where P2 is a positive integer; and all P3 consecutive samples, including the first sample, within a third predetermined period are valid samples, where P3 is a positive integer, and the time corresponding to the first sample represents either the transmission time, measurement time, or measurement result reporting time of the reference signal resource set corresponding to the first sample.

[0130] In some embodiments, different time selection conditions are corresponding when the first sample is located in a different time domain within a time window.

[0131] In some embodiments, if the first sample is the last sample within the time window, time selection corresponding to the first sample conditions This includes ensuring that at least a first predetermined number of valid samples exist within a first predetermined period prior to the collection time of the first sample, or, if the first sample is the first sample within the time window, time sorting corresponding to the first sample. conditions This includes ensuring that at least a second predetermined number of valid samples exist within a second predetermined period after the collection time of the first sample, or, if the first sample is a sample other than the first and last sample in the time window, time sorting corresponding to the first sample. conditions This includes the condition that at least a first predetermined number of valid samples exist within a first predetermined period prior to the collection time of the first sample, and at least a second predetermined number of valid samples exist within a second predetermined period after the collection time of the first sample.

[0132] In some embodiments, M samples in the dataset are sent sequentially in order of measurement time.

[0133] In some embodiments, the transmitting unit 603 is used to transmit time information for M samples.

[0134] In some embodiments, the time information of a sample includes the transmission time, measurement time, or measurement result reporting time of the reference signal resource set corresponding to the sample.

[0135] In some embodiments, the transmitting unit 603 is used to transmit a bitmap sequence, which includes a plurality of indicator bits, which are used to indicate whether the dataset contains samples collected at the time corresponding to the indicator bits.

[0136] Figure 7 is a schematic diagram of another communication device according to several embodiments. As shown in Figure 7, the communication device 70 includes a receiving unit 701 and may further include a processing unit 702. The communication device 70 may be the second communication node described above, or a chip within the second communication node. When the communication device 70 is used to implement the functions of the second communication node in the above embodiment, each unit is used to implement, for example, the following functions.

[0137] In some embodiments, a receiving unit 701 is used to receive a dataset, which contains M samples, and these M samples are selected from N samples based on a predefined rule, where N is a positive integer and M is a positive integer less than or equal to N.

[0138] In some embodiments, a predefined rule indicates that the first sample in the dataset satisfies at least one of the following conditions: the first sample is a valid sample, the second sample associated with the first sample is a valid sample, and the first sample satisfies a time-selection condition, where the first sample is any sample in the dataset.

[0139] In some embodiments, a valid sample satisfies at least one of the following conditions: the sample parameters of the valid sample satisfy the corresponding parameter threshold requirement; the number of sample parameters of the valid sample that satisfy the parameter threshold requirement is greater than the first numerical threshold; all sample parameters of type 1 of the valid sample satisfy the parameter threshold requirement; all sample parameters of type 2 of the valid sample satisfy the parameter threshold requirement; the number of sample parameters of type 1 that satisfy the parameter threshold requirement is greater than the second numerical threshold; and the number of sample parameters of type 2 that satisfy the parameter threshold requirement is greater than the third numerical threshold. The sample parameters of type 1 are obtained based on measurements of type 1 reference signal resources in a reference signal resource set, and the sample parameters of type 2 are obtained based on measurements of type 2 reference signal resources in a reference signal resource set or the reference signal resource set itself.

[0140] In some embodiments, the first sample is a sample obtained based on measurements of the first reference signal resource set, the second sample is a sample obtained based on measurements of the second reference signal resource set, and the first and second reference signal resource sets are related.

[0141] In some embodiments, the relationship between a first reference signal resource set and a second reference signal resource set satisfies at least one of the following conditions: the transmission time of the first reference signal resource set and the transmission time of the second reference signal resource set are within the same time unit or adjacent time unit; the difference between the transmission time of the first reference signal resource set and the transmission time of the second reference signal resource set is less than a first predetermined time threshold; the measurement time of the first reference signal resource set and the measurement time of the second reference signal resource set are within the same time unit or adjacent time unit; the difference between the measurement time of the first reference signal resource set and the measurement time of the second reference signal resource set is less than a second predetermined time threshold; the measurement result reporting time of the first reference signal resource set and the measurement result reporting time of the second reference signal resource set are within the same time unit or adjacent time unit; and the difference between the measurement result reporting time of the first reference signal resource set and the measurement result reporting time of the second reference signal resource set is less than a third predetermined time threshold.

[0142] In some embodiments, the time selection condition includes at least one of the following: all samples within the time window corresponding to the first sample are valid samples; the number of valid samples within the time window corresponding to the first sample is greater than a fourth numerical threshold; at least P1 valid samples exist within a first predetermined period prior to the time corresponding to the first sample, where P1 is a positive integer; at least P2 valid samples exist within a second predetermined period after the time corresponding to the first sample, where P2 is a positive integer; and all P3 consecutive samples, including the first sample, within a third predetermined period are valid samples, where P3 is a positive integer, and the time corresponding to the first sample represents either the transmission time, measurement time, or measurement result reporting time of the reference signal resource set corresponding to the first sample.

[0143] In some embodiments, different time selection conditions are corresponding when the first sample is located in a different time domain within a time window.

[0144] In some embodiments, if the first sample is the last sample within the time window, time selection corresponding to the first sample conditions This includes ensuring that at least a first predetermined number of valid samples exist within a first predetermined period prior to the collection time of the first sample, or, if the first sample is the first sample within the time window, time sorting corresponding to the first sample. conditions This includes ensuring that at least a second predetermined number of valid samples exist within a second predetermined period after the collection time of the first sample, or, if the first sample is a sample other than the first and last sample in the time window, time sorting corresponding to the first sample. conditions This includes the condition that at least a first predetermined number of valid samples exist within a first predetermined period prior to the collection time of the first sample, and at least a second predetermined number of valid samples exist within a second predetermined period after the collection time of the first sample.

[0145] In some embodiments, the processing unit 702 is used to determine the time information of M samples in the dataset according to the order in which the M samples were received.

[0146] In some embodiments, the receiving unit 701 is further used to receive time information for M samples.

[0147] In some embodiments, the time information of a sample includes the transmission time, measurement time, or measurement result reporting time of the reference signal resource set corresponding to the sample.

[0148] In some embodiments, the receiving unit 701 is further used to receive a bitmap sequence, which includes a plurality of indicator bits, which are used to indicate whether the dataset contains samples collected at the time corresponding to the indicator bits.

[0149] The units in Figures 6 and 7 can be called modules; for example, the transmitting unit can be called a transmitting module. Furthermore, in the embodiments shown in Figures 6 and 7, the names of the units do not have to be those shown in the drawings; for example, the transmitting unit can also be called a communication unit, and the receiving unit can also be called a communication unit.

[0150] Each unit in Figures 6 and 7 is implemented in the form of a software function module and, if sold or used as an independent product, can be stored on a computer-readable storage medium. Based on this understanding, the technical proposals of the embodiments of this disclosure may be embodied in the form of a software product, or a portion of such a proposal, or all or part of such a proposal, may be embodied in the form of a software product, which is stored on a storage medium and includes several instructions for causing a computer device (such as a personal computer, server, or network device) or processor to perform all or part of the steps of the methods of each embodiment of this disclosure. Storage mediums for storing computer software products include various media capable of storing program code, such as USB flash drives (universal serial bus flash drives), removable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0151] When the functions of the integrated module described above are implemented in hardware form, embodiments of this disclosure provide schematic diagrams of the structure of a communication device which may be the communication device 60 or communication device 70 described above. As shown in Figure 8, the communication device 80 includes a memory 801, a processor 802, a communication interface 803, and a bus 804.

[0152] The processor 802 may implement or execute various exemplary logic blocks, modules, and circuits described in relation to the disclosures 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. It can implement or execute various exemplary logic blocks, modules, and circuits described in relation to the disclosures of this disclosure. The processor 802 may be a combination that implements arithmetic functions, for example, a combination including one or more microprocessors, a combination of a digital signal processor (DSP) and a microprocessor, and so on.

[0153] The communication interface 803 is used to connect to other devices via a communication network. This communication network may be Ethernet®, a wireless access network, a wireless local area network (WLAN), or the like.

[0154] The memory 801 may be a read-only memory (ROM) or another type of static storage device capable of storing static information and instructions, a random access memory (RAM) or another type of dynamic storage device capable of storing information and instructions, an electrically erasable programmable read-only memory (EEPROM), a disk storage medium or other magnetic storage device, or any other medium accessible by a computer that can be used to carry or store desired program code having instruction or data structure form.

[0155] In one embodiment, the memory 801 exists independently of the processor 802, or it may be connected to the processor 802 via a bus 804, and is used to store instructions or program code. The processor 802 calls and executes the instructions or program code stored in the memory 801, thereby providing the embodiments of this disclosure. Sending the dataset The method can be implemented.

[0156] In another embodiment, the memory 801 may be integrated with the processor 802.

[0157] Bus 804 may also 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 simplicity of representation, only one thick line is shown in Figure 8, but this does not mean that there is only one bus or only one type of bus.

[0158] Through the above description of the embodiments, those skilled in the art will understand that, for the sake of convenience and brevity of explanation, only the division of each functional module described above is explained as an example, and that in actual applications, the above functions can be completed by different functional modules as needed, that is, the internal structure of the second or first node can be divided into different functional modules to complete all or part of the functions described above.

[0159] Embodiments of the present disclosure further provide computer-readable storage media. Computer instructions can be used to instruct the relevant hardware to complete all or part of the process in the above-described method embodiment, and this program may be stored in the computer-readable storage media and, when executed, may include the process in the above-described method embodiment. The computer-readable storage media may be any of the above-described embodiments or memory. The computer-readable storage media may be an external storage device of the second or first node, for example, a plug-in hard disk equipped in the second or first node, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. Furthermore, the computer-readable storage media may further include both the internal and external storage devices of the second or first node. The computer-readable storage media is used to store the computer program and other programs and data required by the second or first node. The computer-readable storage media can further be used to temporarily store output data or data to be output. The readable storage media includes non-temporary computer-readable storage media.

[0160] The embodiments of this disclosure include computer programs, including computer programs. Mu Furthermore, when the computer program product is executed on the computer, it is provided to the computer in the above embodiment. Sending the dataset You can have them perform one of the methods.

[0161] While this disclosure is described herein in relation to each embodiment, a person skilled in the art can understand and implement other variations of the disclosed embodiments by examining the drawings, the disclosure and the accompanying claims in the course of implementing this disclosure for which protection is claimed. In the claims, the word “comprising” does not exclude other components or steps, and “one” or “one” does not exclude multiple situations. A single processor or other unit can implement some of the functions enumerated in the claims. Although certain means are described in different dependent claims, this does not imply that these means cannot be combined to produce good results.

[0162] While this disclosure is described in relation to its features and embodiments, it is evident that various modifications and combinations can be made without departing from the spirit and scope of this disclosure. Correspondingly, this specification and drawings are merely illustrative descriptions of this disclosure as defined by the appended claims and are deemed to cover any and all modifications, variations, combinations, or equivalents within the scope of this disclosure. Clearly, a person skilled in the art can make various modifications and variations of this disclosure without departing from the spirit and scope of this disclosure. Thus, if such modifications and variations of this disclosure fall within the scope of the claims of this disclosure and its equivalents in the art, this disclosure is intended to include such modifications and variations as well.

[0163] The foregoing describes only specific embodiments of the Disclosure, and the scope of protection of the Disclosure is not limited thereto. Any modifications or substitutions within the technical scope disclosed herein shall be included within the scope of protection of the Disclosure. Accordingly, the scope of protection of the Disclosure shall be subject to the scope of protection of the claims.

Claims

1. A method for transmitting a dataset, which is performed by a first communication node, A step of obtaining N samples based on measurements of a reference signal resource set, wherein N is a positive integer, A step of selecting M samples from the N samples to constitute a dataset based on a pre-set rule, wherein M is a positive integer less than or equal to N, the pre-set rule indicates that the first sample in the dataset satisfies the condition that the first sample is a valid sample, and the first sample is any sample in the dataset. The step includes sending the aforementioned dataset, The aforementioned valid sample is The sample parameters of the valid sample satisfy the corresponding parameter threshold requirements. Of the valid samples mentioned above, the number of sample parameters that satisfy the parameter threshold requirement is greater than the first numerical threshold. Of the valid samples mentioned above, all sample parameters of type 1 must satisfy the parameter threshold requirements. Of the valid samples mentioned above, all sample parameters of type 2 must satisfy the parameter threshold requirements. Of the valid samples, the number of first-type sample parameters that satisfy the parameter threshold requirement is greater than the second numerical threshold, and Of the valid samples, the number of second-type sample parameters that satisfy the parameter threshold requirement is greater than the third numerical threshold, and at least one of these conditions is met. A method for transmitting a dataset, wherein the first type of sample parameters are obtained based on measurements of the first type of reference signal resource of the reference signal resource set, and the second type of sample parameters are obtained based on measurements of the second type of reference signal resource of the reference signal resource set or the reference signal resource set.

2. The aforementioned pre-set rule states that the first sample in the dataset is The second sample related to the first sample is a valid sample, or The first sample satisfies the time selection criteria, and further satisfies at least one of the following: The method according to claim 1.

3. The method according to claim 2, wherein the first sample is a sample obtained based on measurements of a first reference signal resource set, and the second sample is a sample obtained based on measurements of a second reference signal resource set, and the first reference signal resource set and the second reference signal resource set are related.

4. The relationship between the first reference signal resource set and the second reference signal resource set is: The transmission time of the first reference signal resource set and the transmission time of the second reference signal resource set must be within the same time unit or adjacent time units. The difference between the transmission time of the first reference signal resource set and the transmission time of the second reference signal resource set is less than the first predetermined time threshold. The measurement time for the first reference signal resource set and the measurement time for the second reference signal resource set must be within the same time unit or adjacent time units. The difference between the measurement time of the first reference signal resource set and the measurement time of the second reference signal resource set is less than the second predetermined time threshold. The measurement result reporting time for the first reference signal resource set and the measurement result reporting time for the second reference signal resource set are within the same time unit or adjacent time units, and The method according to claim 3, wherein at least one of the following is satisfied: the difference between the measurement result reporting time of the first reference signal resource set and the measurement result reporting time of the second reference signal resource set is less than a third predetermined time threshold.

5. The aforementioned time selection conditions are: All samples within the time window corresponding to the first sample are valid samples. The number of valid samples within the time window corresponding to the first sample is greater than the fourth numerical threshold. Within a first predetermined period prior to the time corresponding to the first sample, there exist at least P1 valid samples, where P1 is a positive integer. Within a second predetermined period following the time corresponding to the first sample, there are at least P2 valid samples, where P2 is a positive integer, and The sequence of P3 consecutive samples, including the first sample, is comprised of at least one of the following: all are valid samples, and P3 is a positive integer. The method according to claim 2, wherein the time corresponding to the first sample indicates the transmission time, measurement time, or measurement result reporting time of the reference signal resource set corresponding to the first sample.

6. The method according to claim 5, wherein if the first sample is located in a different time domain within the time window, it corresponds to different time selection conditions.

7. If the first sample is the last sample within the time window, the time selection condition corresponding to the first sample includes that at least a first predetermined number of valid samples exist within a first predetermined period prior to the time corresponding to the first sample, or If the first sample is the first sample within the time window, the time selection condition corresponding to the first sample includes that at least a second predetermined number of valid samples exist within a second predetermined period after the time corresponding to the first sample, or The method according to claim 6, wherein, if the first sample is a sample other than the first and last sample in the time window, the time selection condition corresponding to the first sample includes that at least a first predetermined number of valid samples exist within a first predetermined period prior to the time corresponding to the first sample, and at least a second predetermined number of valid samples exist within a second predetermined period after the time corresponding to the first sample.

8. The method according to claim 1, wherein the M samples in the dataset are transmitted sequentially in order of measurement time.

9. The process further includes the step of transmitting time information corresponding to the M samples, The method according to claim 1, wherein the time information corresponding to the sample includes the transmission time, measurement time, or measurement result reporting time of the reference signal resource set corresponding to the sample.

10. The method according to claim 1, further comprising the step of transmitting a bitmap sequence, wherein the bitmap sequence comprises a plurality of instruction bits, each of which is used to indicate whether the dataset comprises a sample collected at a time corresponding to the instruction bit.

11. A method for receiving a dataset, which is performed by a second communication node, The process includes the step of receiving a dataset, wherein the dataset contains M samples, the M samples are selected from N samples based on a predefined rule, where N is a positive integer and M is a positive integer less than or equal to N. The aforementioned pre-set rule indicates that the first sample in the dataset satisfies the condition that the first sample is a valid sample, the first sample is any sample in the dataset, and the valid sample is The sample parameters of the valid sample satisfy the corresponding parameter threshold requirements. Of the valid samples mentioned above, the number of sample parameters that satisfy the parameter threshold requirement is greater than the first numerical threshold. Of the valid samples mentioned above, all sample parameters of type 1 must satisfy the parameter threshold requirements. Of the valid samples mentioned above, all sample parameters of type 2 must satisfy the parameter threshold requirements. Of the valid samples, the number of first-type sample parameters that satisfy the parameter threshold requirement is greater than the second numerical threshold, and Of the valid samples, the number of second-type sample parameters that satisfy the parameter threshold requirement is greater than the third numerical threshold, and at least one of these conditions is met. A method for receiving a dataset, wherein the first type of sample parameters are obtained based on measurements of the first type of reference signal resource of the reference signal resource set, and the second type of sample parameters are obtained based on measurements of the second type of reference signal resource of the reference signal resource set or the reference signal resource set.

12. The method further includes the step of determining the time information of the M samples in the dataset according to the order in which the M samples were received, or The step further includes receiving a bitmap sequence, the bitmap sequence comprising a plurality of indicator bits, each of which is used to indicate whether the dataset contains samples collected at the time corresponding to the indicator bit. The method according to claim 11.

13. The process further includes the step of receiving time information corresponding to the M samples, The method according to claim 11, wherein the time information corresponding to the sample includes the transmission time, measurement time, or measurement result reporting time of the reference signal resource set corresponding to the sample.

14. A communication device comprising memory and a processor, wherein the memory and the processor are coupled, the memory is used to store instructions executable by the processor, and when the processor executes the instructions, the processor performs the method according to any one of claims 1 to 13.

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