Method, device and storage medium for transmitting and receiving data sets

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 from a Chinese patent application bearing application number 202310403694.2, filed on April 7, 2023, the entire contents of which are incorporated herein by reference.

[0002] The present invention relates to the field of communication technology, and in particular to a method, device and storage medium for transmitting and receiving data sets. [Background technology]

[0003] Wireless communication systems are widely used in people's daily lives and production. For example, wireless communication systems are applied to video transmission, voice transmission, positioning, machine-to-machine (M2M) communication, device-to-device (D2D) communication in the industrial field, and communication between vehicles and other devices in the Internet of Vehicles (IoV). As wireless communication systems become more and more widely used, the requirements for transmission reliability, capacity, transmission speed, etc. of wireless communication technology become higher and higher, which also promotes the rapid development of the wireless communication field. Summary of the Invention

[0004] In a first aspect, an embodiment of the present disclosure provides a first communication node Therefore, execute The present invention provides a method for transmitting a data set, the method comprising: obtaining N samples based on measurements of a reference signal resource set, where N is a positive integer; selecting M samples for constructing a dataset from the N samples based on a predetermined rule, where M is a positive integer equal to or less than N; and transmitting the data set.

[0005] In a second aspect, an embodiment of the present disclosure provides a second communication node Therefore, execute The present invention provides a method for receiving a data set, the method comprising: The method includes receiving a dataset, the dataset including M samples, the M samples being selected and obtained from the N samples based on a predetermined rule, N being a positive integer, and M being 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 comprising: an acquisition unit used to acquire N samples based on measurements of a reference signal resource set, where N is a positive integer; a processing unit used to select M samples for constructing a dataset from N samples based on a predetermined rule, where M is a positive integer less than or equal to N; a transmission unit used to transmit the data set.

[0007] In a fourth aspect, an embodiment of the present disclosure provides a communication device located at a second communication node, the communication device comprising: A receiving unit used to receive a dataset, the dataset including M samples, the M samples being selected and obtained from N samples based on a predetermined rule, N being a positive integer, and M being a positive integer less than or equal to N.

[0008] In a fifth aspect, an embodiment of the present disclosure provides a communications device, the communications device comprising a processor and a memory, the memory storing instructions executable by the processor, the processor being configured, when executing the instructions, to cause the communications device to perform any of the methods provided in the first or second aspect above.

[0009] In a sixth aspect, an embodiment of the present disclosure provides a computer-readable storage medium having stored thereon computer instructions that, when executed on a computer, cause the computer to perform any of the methods provided in the first or second aspect above.

[0010] In a seventh aspect, embodiments of the present disclosure provide a computer program product including computer instructions that, when executed on a computer, cause the computer to perform any of the methods provided in the first or second aspect above. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a schematic diagram of a communication system architecture according to some embodiments. [Figure 2] 1 is a flowchart of a method for transmitting a data set according to some embodiments. [Figure 3] FIG. 1 is a schematic diagram of a scenario in which a data set is transmitted according to some embodiments. [Figure 4] FIG. 2 is a schematic diagram of a bitmap sequence according to some embodiments. [Figure 5] 1 is a flowchart of a method for receiving a data set according to some embodiments. [Figure 6] FIG. 1 is a schematic block diagram of a communication device according to some embodiments. [Figure 7] FIG. 2 is a schematic diagram of another communication device according to some embodiments. [Figure 8] FIG. 10 is a schematic diagram of yet another communication device according to some embodiments. DETAILED DESCRIPTION OF THE INVENTION

[0012] In order to allow those skilled in the art to better understand the technical solutions of the embodiments of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Of course, it is clear that the described embodiments are only a part of the embodiments of the present disclosure, and are not all of the embodiments. Based on the embodiments of the present disclosure, all other embodiments that can be obtained by those skilled in the art without any creative effort shall fall within the scope of protection of the present disclosure.

[0013] In the description of 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 to explain the relation between related objects, and indicates that there are three types of relations, 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 "multiple" means two or more. Expressions such as "first", "second", etc. The object to be limited It does not limit the quantity or execution order, and expressions such as "first" and "second" do not necessarily The object to be limited It is not intended to be limited to being different.

[0014] It should be noted that in this disclosure, terms such as "exemplary" or "for example" are used to indicate an example, instance, or illustration. Any embodiment or design described in this disclosure as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, use of terms such as "exemplary" or "for example" is intended to present related concepts in a detailed manner.

[0015] In several technologies, artificial intelligence (AI) algorithms have become a key technology driving the evolution and performance improvement of the physical layer of wireless communications. Generally, AI algorithms are data-driven technologies, and their design and training all rely on large datasets. The quality of the dataset directly affects the performance of the AI ​​algorithm and model. A base station configures and transmits a reference signal resource set for data collection. A terminal measures the configured reference signal resource set to collect data and reports the collected data to the base station. At the same time, events such as building shadowing and link failure may invalidate some of the data collected by the terminal. Since a terminal must report all collected data to the base station, the overhead of reporting the dataset may be large, resulting in relatively low utilization of transmission resources.

[0016] In contrast, an embodiment of the present disclosure provides a method for transmitting and receiving a data set, which first filters out some invalid data from collected data and then uses the remaining valid data to form a data set, thereby reducing the reporting overhead of the data set and improving the utilization rate of transmission resources.

[0017] The technical solutions according to the embodiments of the present disclosure can be applied to various mobile communication networks, such as New Radio (NR) mobile communication networks using 5th generation mobile networks (5G), future mobile communication networks, or multiple types of communication convergence systems, and the embodiments of the present disclosure are not limited thereto.

[0018] The network architecture of a mobile communication network (including, but not limited to, 3G, 4G, 5G, and future mobile communication networks) in the embodiments of the present disclosure may include a network side device (e.g., including, but not limited to, a base station) and a receiving side device (e.g., including, but not limited to, a terminal). Furthermore, in this example, in the downlink, the first communication node (also referred to as a first communication node device) may be a base station side device, and the second communication node (also referred to as a second communication node device) may be a terminal side device; of course, it should be understood that in the uplink, the first communication node may be a terminal side device, and the second communication node may be a base station side device. When terminal-to-terminal communication is performed 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 may be abbreviated as a first node and a second node, respectively.

[0019] 1 is a schematic diagram of the architecture of a communication system according to some embodiments, where the network side device is a base station and the receiving side device is a terminal. As shown in Fig. 1, the communication system 10 includes a plurality of base stations (e.g., base station 21 and base station 22) and a plurality of terminals (e.g., terminal 31, terminal 32, terminal 33, and terminal 34). The plurality of base stations and the plurality of terminals are communicably connected.

[0020] In some embodiments, a base station is used to provide wireless access services to multiple terminals. For example, one base station provides one service coverage area (also called a cell). Terminals that enter this area can communicate with the base station via radio signals to receive the wireless access services provided by the base station. The service coverage areas of the base stations do not overlap. area , and a terminal within the overlapping area can receive radio signals from multiple base stations.

[0021] In some embodiments, a base station may be connected to multiple terminal devices (e.g., 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 in one cell, and can also provide network services to terminals in multiple cells simultaneously.

[0022] In some embodiments, the base station may be a base station or evolved base station (evolutionary node B, eNB, or eNodeB) in long term evolution (LTE), long term evolution advanced (LTE-A), a base station device in a 5G network, a base station in a future communication system, etc. The base station may include various macro base stations, micro base stations, home base stations, radio remote units (RRUs), reconfigurable intelligent surfaces (RIS), routers, wireless fidelity (WIFI) devices, or various network side devices such as a primary cell or a secondary cell.

[0023] In some embodiments, the terminal may be a device having a wireless transceiver function. The terminal may be deployed on land (indoor or outdoor, handheld, wearable, or vehicle-mounted), on water (e.g., a ship, etc.), or in the air (e.g., an airplane, a balloon, a satellite, etc.). The terminal may be a mobile phone, a tablet computer (Pad), a computer with a wireless transceiver function, 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, a wireless terminal in a smart grid, a wireless terminal in transportation safety, a wireless terminal in a smart city, a wireless terminal in a smart home, etc. The embodiments of the present disclosure do not limit application scenarios. A terminal may also be referred to as, but is not limited to, a user, User Equipment (UE), access terminal, UE unit, UE station, mobile station, remote station, remote terminal, mobile device, UE terminal, wireless communication device, UE agent, or UE device.

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

[0025] In some embodiments, a parameter indicator is also referred to as an index or identifier (ID), and the terms indicator, identifier, and index are equivalent concepts. For example, a resource identifier in a wireless system is also referred to as a resource indicator or resource index. Resource identifiers in a wireless system include, but are not limited to, one of 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 sub-neural network, a neural network layer, etc. The base station can indicate the identifier of a resource or a group of resources to the terminal through various higher layer signaling or physical layer signaling. The terminal can feed back the identifier of a 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 is a slot or mini slot Even if you point A slot or minislot includes at least one symbol. A symbol refers to a unit of time within a subframe, frame, or slot, and may be, for example, an orthogonal frequency division multiplexing (OFDM) symbol, a single-carrier frequency division multiple access (SC-FDMA) symbol, an orthogonal frequency division multiple access (OFDMA) symbol, etc.

[0027] In some embodiments, transmitting includes sending or receiving, for example, sending data or sending a signal, receiving data or receiving a signal, etc.

[0028] In some embodiments, a base station or a user may need to transmit reference signals (RS) to calculate channel state information or perform channel estimation, mobility management, positioning, etc. Reference signals include, but are 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 blocks (SSB), physical broadcast channels (PBCH), and synchronization signals blocks / physical broadcast channels (SSB / PBCH). The NZP CSI-RS can be used to measure channel or interference, and the CSI-RS can also be used for tracking and is called a tracking reference signal (CSI-RS for Tracking, TRS). The CSI-IM signal is typically used to measure interference, and the SRS is used to measure the uplink channel. Furthermore, a set of resource elements (REs) included in the time-frequency resource for transmitting reference signals is called a reference signal resource, such as a CSI-RS resource, an SRS resource, a CSI-IM resource, or an SSB resource. In an embodiment of the present disclosure, the SSB includes a synchronization signal block and / or a physical broadcast channel.

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

[0030] In some embodiments, a base station configures measurement resource information. The measurement resource information is used to acquire 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 configuration or reporting setting. In some examples, one piece of 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 piece of 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 piece of 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 piece of 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 piece of channel measurement resource information includes at least one channel reference signal resource, for example, at least one CSI-RS resource or at least one SRS resource, and one piece of interference measurement resource information includes at least one interference reference signal resource, for example, at least one CSI-IM resource.

[0031] In some embodiments, the beam may include a transmit beam, a receive beam, a receive-beam pair, and a transmit-beam pair. In some embodiments, the beam may be understood as a type of resource, such as a reference signal resource, a transmit-side spatial filter, a receive-side spatial filter, a spatial filter, a spatial reception parameter, a transmit-side precoding, a receive-side precoding, an antenna port, an antenna weight vector, or an antenna weight matrix. Because a beam may be bonded with several time-frequency code resources for transmission, a beam index may be replaced with a resource index (e.g., a reference signal resource index). The beam may be a transmission (transmission / reception) scheme, and the transmission scheme may include spatial division multiplexing, frequency domain / time domain diversity, beamforming, etc. Furthermore, the base station may perform quasi-colocation (QCL) configuration for two reference signals and notify the user side to describe channel characteristic assumptions. The parameters related to the quasi-colocation include at least a Doppler spread, a Doppler shift, a delay spread, an average delay, an average gain, and spatial parameters (also referred to as spatial parameters). The spatial parameters include spatial reception parameters, angle information, spatial correlation of reception beams, average delay, and correlation of time-frequency channel responses (including phase information). The angle information includes at least one of an angle of arrival (AOA), an angle of departure (AOD), a zenith angle of departure (ZOD), and a zenith angle of arrival (ZOA). The 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, 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), where the neural network includes multiple layers, each layer including at least one node. In one example, the neural network includes an input layer, an output layer, and at least one hidden layer. Each layer of the neural network may include, but is not limited to, at least one of a fully connected layer, a dense layer, a convolutional layer, a transposed convolutional layer, a direct connection layer, an activation function, a normalization layer, a pooling layer, and the like. In some embodiments, each layer of the neural network may include one sub-neural network, such as a residual network block (Resnet block), a dense network block, a recurrent neural network (RNN), and the like. The artificial intelligence network can be realized through a model, which may include a neural network model, which includes a neural network model structure and / or neural network model parameters, which can be abbreviated as model structure and neural network model parameters, respectively. The model structure defines the architecture of the network, such as the number of layers of the neural network, the size of each layer, the activation function, the connection state, the convolution kernel and its size, the convolution step, and the type of convolution (e.g., 1D convolution, 2D convolution, 3D convolution, dilated convolution, transposed convolution, separable convolution, grouped convolution, dilated convolution, etc.), and the network parameters are the weights and / or biases of the network in each layer in the neural network model and their values.The model structure can accommodate multiple sets of different neural network model parameter values ​​to adapt to different scenarios. The neural network model parameters can be obtained by online training or offline training. For example, the neural network model is trained by inputting at least one sample and a label to obtain the neural network model parameters.

[0033] In some examples, one sample includes P features and Q labels, where P is a positive integer and Q is an integer greater than or equal to 0. Multiple samples constitute one dataset. In some examples, for example, in supervised learning samples, one sample includes one feature and one label. In one example, for example, in unsupervised learning samples, one sample has only one feature and no label. In some examples, for example, in a multiple-input, single-output supervised learning network model, one sample has multiple features and one label. In some examples, for example, in a single-input, multiple-output supervised learning network model, one sample includes one feature and multiple labels. In some examples, for example, in a multiple-input, multiple-output supervised learning network model, one sample includes multiple features and multiple labels. In some examples, one feature may be an array. In some examples, one label may also be an array. In some embodiments, the array may be a vector, a matrix, or a tensor with more than two dimensions, and the dimension of the array corresponding to the samples is also referred to as the dimension of the sample array. In some embodiments, each element in the array may be a discrete value, a real value, or a real value ranging from 0 to 1, or from −0.5 to 0.5, etc. The array corresponding to the samples may include two array types: a row-major array type and a column-major array type. In the row-major array type, the elements in the array are arranged first in the first row, then in the second row, and so on. In the column-major array type, the elements in the array are arranged first in the first column, then in the second column, and so on. In some examples, the elements in the array corresponding to the samples are quantized to obtain samples with different quantization precisions using different quantization bit rates, which are referred to as 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 the array to a value between a and b. There are various normalization types for samples, such as a = -0.5 and b = 0.5. Another example is a = 0 and b = 1. One example involves dividing elements in the array by the number with the largest absolute value among the elements in the array. Another example involves dividing elements in the array by the variance among the elements in the array. Another example involves dividing elements in the array by a fixed value (e.g., the maximum value of all elements in all samples). Another example involves dividing 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, CSI-RS resource indicator (CRI), and SSBRI (Synchronization Signals Block Resource Indicator) can be normalized using one-hot encoding.

[0035] In some embodiments, the model may be configured to calculate the data stream between the sample's original input and output target. Passed Multiple linear or nonlinear components Combination of The so-called models include neural network models, non-artificial intelligence modules for information processing or corresponding models, and functional components or functions that map input information to output information (for example, this mapping includes linear mapping and non-linear mapping).

[0036] In some embodiments, each model may be represented by a Model Indicator. r) or model identifier fier, Model ID). In some embodiments, the model identifier may further have another equivalent name or concept, such as one of a model index, a first identifier, a function identifier, a model indicator, etc.

[0037] In some examples, the model includes a model structure and model parameters. For example, the model is a neural network model, and the neural network model 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, i.e., 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 examples, to better transmit data or signals, a base station or a terminal needs to acquire measurement parameters. The measurement parameters may include channel state information or other parameters for characterizing a channel, and the channel state information may include at least one of a Channel State Information-Reference Signal Resource Indicator (CSI-RS resource indicator, CRI), a synchronization signals block resource indicator (SSBRI), a Layer 1 reference signal received power (L1-RSRP or RSRP), a Differential RSRP, a Layer 1 signal to interference noise ratio (L1-SINR or SINR), a Differential L1-SINR, a Reference Signal Received Quality (RSRQ), a Channel Quality Indicator (CQI), a Precoding Matrix Indicator (PMI), a Layer Indicator (LI), a 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, the precoding matrix indicator is one of the codebook-based precoding information. The precoding information further includes a method of non-codebook-based realization. For example, a second type of precoding information The news is This is precoding information obtained based on advanced technologies such as AI.

[0039] In some embodiments, the terminal and the base station transmit channel state information matching the channel information through first-type precoding information. The first-type precoding information is precoding information configured based on a conventional channel characteristic matrix or quantized values ​​of the characteristic matrix. For example, examples of precoding information implemented by a codebook-based method include a codebook for N antennas in LTE (in some embodiments, N=2, 4, 8, 12, 16, 24, 32, etc.), and a type I codebook, a type II codebook, a type II port selection codebook, an enhanced type II codebook, an enhanced type II selection codebook, a further enhanced type II selection codebook, etc. in NR. In some embodiments, the codebook includes L codewords, and the main principle is that the base station and the terminal pre-store the L codewords according to a predetermined formula, table, or dictionary. In some embodiments, the codeword is a vector. In some embodiments, the codeword is a matrix, the matrix includes r columns, and each column is also a vector. In some embodiments, the columns of the matrix are mutually orthogonal. In some examples, the vector that constitutes the codeword is a 0-1 vector, i.e., only one value in the entire vector is 1 and the other values ​​are zero. In some examples, the vector that constitutes the codeword is a Discrete Fourier Transform (DFT) vector. In some examples, the vector that constitutes the codeword is obtained by a tensor (Kronecker) product of two or more DFT vectors. In some examples, the vector that constitutes the codeword is obtained by multiplying two or more DFT vectors by different phase rotations and then combining them. In some examples, the vector that constitutes the codeword is 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 the 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 through are all second-type precoding information. For simplicity, the quantized H1 is also referred to as second-type precoding information. In one example, the second-type precoding information is a precoding matrix generated by another non-AI method and different from the first-type precoding information. In one example, the second-type precoding information is a precoding matrix other than the first-type precoding information.

[0041] In some examples, the channel information is information for describing a channel environment between communication nodes, such as a time-domain channel matrix, a frequency-domain channel matrix, etc., obtained based on a reference signal (e.g., CSI-RS). In some examples, the channel information is a complex matrix, and the size of the channel matrix is ​​related to the number of transmit antennas Nt, the number of receive antennas Nr, and resource elements (REs). For example, there is at least one Nr×Nt channel matrix on one physical resource block.

[0042] In some embodiments, the beam parameter information is a Layer 1 Reference Signal Received Power (L1-RSRP or RSRP) or a differential RSRP corresponding to at least one beam. In some embodiments, the beam parameter information is a Layer 1 Signal-to-Interference Noise Ratio (L1-SINR or SINR) or a differential SINR corresponding to at least one beam. In some embodiments, the beam parameter information is a Reference Signal Received Quality (RSRQ) corresponding to at least one beam. In some embodiments, the beam parameter information is a beam angle (at least one of AOA, ZOA, AOD, ZOD, etc., which may also be referred to as a horizontal angle of arrival, a vertical angle of arrival, a horizontal angle of departure, a vertical angle of departure, etc.) corresponding to at least one beam. In some embodiments, the beam parameter information is a transmit beam index corresponding to at least one beam. In some embodiments, the beam parameter information is a receive beam index corresponding to at least one beam. In some embodiments, the beam parameter information is a transmit beam and receive beam pair index (beam pair index or beam pair for short) corresponding to at least one beam. In some embodiments, the beam parameter information is a beam domain receive power map (BDRPM) corresponding to at least one beam. In some embodiments, the 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, the beam parameter information is a synchronization signals 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 beam parameter information such as RSRP, RSRQ, SINR, beam angle, transmit beam index, receive beam index, beam pair index, CRI, and SSBRI corresponding to at least one beam. In some embodiments, the beam parameter information is a linear value of one of RSRP, RSRQ, and SINR. In some embodiments, the beam parameter information is a logarithmic value or a decibel (DB) value of one of RSRP, RSRQ, and SINR.

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

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

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

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

[0047] In some embodiments, multipath connection The information may include, but is not limited to, at least one of an increase in the number of paths, an increase in the relative delay of the paths, an increase in the power of the multipath, an increase in the time domain response of the multipath, an increase in the real and imaginary parts of the time domain response of the multipath, the strongest path, the first path, the N strongest paths, the times and / or RSRPs corresponding to the N strongest paths, the N paths within the time window, the times and / or RSRPs corresponding to the N paths within the time window, the N paths above a threshold, the times and / or RSRPs corresponding to the N paths above the threshold, and a line of sight / non-line of sight indicator (LoS / NLoS indicator).

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

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

[0050] In some embodiments, the base station configures the terminal with N CSI reports that need to be fed back to the base station through higher layer signaling and / or physical layer signaling, where each CSI report has an identifier (ID) called a CSI report ID. The terminal can select M CSI reports from the N CSI reports according to its own computational or processing capabilities and the requirements of the base station. Furthermore, the terminal feeds back at least one CSI report from the M CSI reports based on uplink fed-back resources, where N and M are positive integers and M<=N. In one example, M CSI reports need to be fed back, but the feedback resources of at least two reports from the M reports conflict, and the conflicting feedback resources of the two reports means that at least one symbol and / or at least one subcarrier of corresponding transmission resources (e.g., PUCCH or PUSCH) for feeding back the two reports are the same. In an embodiment of the present disclosure, the feedback CSI may also be referred to as transmission CSI or transmit CSI, for example, the channel state information is carried on uplink transmission resources for feedback or transmission. The uplink transmission resources and corresponding CSI are both indicated by one channel state information report. In an embodiment of the present disclosure, feedback or transmission of a CSI report refers to feedbacking channel state information of the CSI report configuration. In one example, feedback or transmission of a CSI report refers to transmitting content that needs to be transmitted of the CSI report configuration through transmission resources.

[0051] In some examples, uplink transmission resources are allocated (or scheduled) to the first node by higher layer signaling and / or physical layer signaling, and the uplink transmission resources are used to transmit uplink data (e.g., channel state information or a data set). There are two ways to allocate (or schedule) uplink transmission resources to the first node by higher layer signaling and / or physical layer signaling (e.g., a dynamic grant (DG) scheme (sometimes also referred to as dynamically allocated resources) and a configured grant (CG) scheme). The configured grant includes two types (e.g., a configured grant type 1 (also referred to as a first type configured grant) indicated by higher layer signaling and a configured grant type 2 (also referred to as a second type configured grant) indicated by both higher layer and physical layer signaling), and the dynamic grant scheme is indicated by physical layer signaling. In some examples, the terminal transmits data according to parameters determined in configuration grant type 1. The base station transmits parameters such as the time-frequency resource location of configuration grant type 1, the period of the CG resource, the number of Hybrid-Automatic-Repeat-Request (HARQ) processes using the CG resource, and the modulation and coding scheme (MCS) to the terminal through RRC signaling, and the parameters are stored by the terminal as a configured uplink grant. After configuring configuration grant type 1 through RRC signaling, the terminal can use the transmission resource corresponding to this configured grant for uplink data transmission. In some examples, the terminal transmits data according to parameters determined in configuration grant type 2.The base station transmits parameters such as the period of the CG resource of the configured grant type 2, the number of HARQ processes using the CG resource, and which MCS table to use to the terminal through RRC signaling, while the position of the time-frequency resource, the MCS index value, etc. are transmitted from the base station to the terminal through DCI and stored by the terminal as a configured uplink grant, and the base station enables or disables the terminal's uplink data transmission operation through physical layer signaling.

[0052] In some examples, information such as channel state information and data sets is transmitted through a higher layer. There are two scheduling methods for transmission resources for uplink data transmission by a higher layer (e.g., a dynamic grant (DG) method and a configured grant (CG) method), and the configured grant includes two types, configured grant type 1 and configured grant type 2. In some examples, a terminal transmits data according to 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 MCS of configured grant type 1 to the terminal through RRC signaling, and the terminal then transmits a configured uplink grant. After configuring the configuration grant type 1 through RRC signaling, the terminal can use the transmission resources corresponding to this configuration grant for uplink data transmission. In some examples, the terminal transmits data according to parameters determined in the configuration grant type 2. The base station transmits parameters such as the CG resource period, the number of HARQ processes using the CG resource, and which MCS table to use for the configuration grant type 2 to the terminal through RRC signaling, while the location of the time-frequency resource, the MCS index value, etc. are transmitted from the network device to the terminal through DCI and stored by the terminal as a configuration uplink grant. The base station then enables or disables the terminal's uplink data transmission operation through physical layer signaling.

[0053] As shown in FIG. 2, an embodiment of the present disclosure provides a data set transmission method, which includes the following steps S101 to S103.

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

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

[0056] In some embodiments, the second communications node may configure multiple reference signal resource sets, e.g., the second communications node may configure a first reference signal resource set and a second reference signal resource set, and the first communications node may perform measurements on different reference signal resource sets to obtain different samples.

[0057] S102: The first communication node selects M samples for constructing a data set from N samples based on a preset rule, where M is a positive integer equal to or less than N.

[0058] The preset rule may be, but is not limited to, set by a higher layer, pre-set, or pre-defined. Illustratively, the preset rule followed by the first communication node may be set by the second communication node. Alternatively, the preset rule followed by the first communication node may be set by the first communication node itself.

[0059] In some embodiments, the pre-defined rule is that the first sample in the data set: The first sample is a valid sample, The second sample, which is related to the first sample, is a valid sample; and the first sample satisfies a time selection condition; The first sample is any sample in the dataset.

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

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

[0062] If the sample parameter is a positive indicator, the sample parameter's satisfaction of the parameter threshold requirement can be understood to mean that the sample parameter is equal to or greater than the parameter threshold. If the sample parameter is a negative indicator, the sample parameter's satisfaction of the parameter threshold requirement can be understood to mean that the sample parameter is equal to or less than the parameter threshold. The above positive indicators are indicators in which the larger the numerical value, the better the evaluation, and negative indicators are indicators in which the smaller the numerical value, the worse the evaluation.

[0063] The parameter thresholds may be, but are not limited to, set by a higher layer, pre-set, or pre-defined. Exemplarily, the parameter thresholds may be set by the 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, during one reference signal resource set measurement process, if the measurement results of the reference signal resources in this reference signal resource set (e.g., RSRP / SINR / RSRQ / CQI / channel matrix / eigenvector corresponding to the channel matrix / codebook corresponding to the channel matrix) are all higher than the preset parameter threshold, the samples obtained in this measurement can be regarded as valid samples.

[0065] Requirement 2: Among valid samples, the number of sample parameters that meet the parameter threshold requirement is greater than a first number threshold.

[0066] For example, assume that a reference signal resource set includes 10 reference signal resources (e.g., reference signal resource #0 to reference signal resource #9) and the first number threshold is 5. During one reference signal resource set measurement process, it is measured that the measurement results of reference signal resource #0 to reference signal resource #6 (e.g., RSRP / SINR / RSRQ / CQI / channel matrix / eigenvector corresponding to the channel matrix / codebook corresponding to the channel matrix) are all higher than the preset parameter threshold. Therefore, it can be obtained that the number of sample parameters that meet the reference threshold requirements (i.e., 6) is greater than the first number threshold (i.e., 5), and the samples obtained in this measurement can be regarded as valid samples.

[0067] Requirement 3: Among the valid samples, all sample parameters of the first type satisfy the parameter threshold requirement.

[0068] Requirement 4: Among the valid samples, the second type sample parameters all meet the parameter threshold requirement.

[0069] Requirement 5: Among the valid samples, the number of sample parameters of the first type that meet the parameter threshold requirement is greater than the second number threshold.

[0070] Requirement 6: Among the valid samples, the number of sample parameters of the second type that meet the parameter threshold requirement is greater than a third number threshold.

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

[0072] It should be understood that the division of the first-type reference signal resources and the second-type reference signal resources in the reference signal resource set may be determined based on a configuration by a higher layer, a preconfiguration, or a predefinition. As an example, the second communication node may transmit first indication information to the first communication node to indicate the indexes of the first-type reference signal resources and / or the indexes of the 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 the first-type reference signal resources and another part of the reference signal resources in the reference signal resource set as the 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 in the reference signal resource set with the largest or smallest resource indexes as the first-type reference signal resources and the remaining reference signal resources as the second-type reference signal resources.

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

[0074] In some embodiments, in one measurement of a reference signal resource set, measurement results of all or some of the first-type reference signal resources (e.g., RSRP / SINR / RSRQ / CQI / channel matrix / eigenvector corresponding to the channel matrix / codebook corresponding to the channel matrix) may be used as first-type sample parameters. For example, measurement results of all the first-type reference signal resources may be used as first-type sample parameters, or the highest P measurement results of the first-type reference signal resources may be used as first-type sample parameters, where P is a positive integer. Measurement results of all or some of the second-type reference signal resources may be used as second-type sample parameters. For example, the highest P measurement results of the second-type reference signal resources may be used as second-type sample parameters. Alternatively, measurement results of all or some of the reference signal resource sets may be used as second-type sample parameters. For example, the highest P measurement results of the reference signal resource sets may be used as second-type sample parameters.

[0075] It can be understood that the first communication node can determine whether a sample is a valid sample based on the sample parameters of the sample and corresponding parameter thresholds. If the sample does not meet the requirements that a valid sample should meet, it is considered that the sample is subject to large interference in the measurement process, so the accuracy of the measurement result (i.e., the sample) is relatively low, and therefore the sample is considered an invalid sample, and can further be excluded from the dataset.

[0076] In some embodiments, 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 have an associated relationship, based on which the first sample and the second sample have an associated relationship.

[0077] The association relationship between the first reference signal resource set and the second reference signal resource set includes a time constraint condition between the first reference signal resource set and the second reference signal resource set, and this time constraint conditions are the transmission times, measurement times, or measurement times of the two reference signal resource sets. result Used to constrain reporting times.

[0078] In some embodiments, the association 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 are within the same time unit or adjacent time units; a 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 units; a 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 units; and a 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 configure two interrelated reference signal resource sets (i.e., the first reference signal resource set and the second reference signal resource set) for the first communication node to collect feature data and label data, respectively. Therefore, if samples acquired by measuring one reference signal resource set are discarded due to relatively poor quality, samples acquired by measuring another reference signal resource set should be discarded even if they are valid samples. This can improve the transmission efficiency of the dataset and the utilization rate of transmission resources.

[0080] In some embodiments, the time filtering conditions 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] Illustratively, the time window is a fixed time interval set or predefined by the second communication node (e.g., a base station), and the time window setting includes a time window period, a start time or slot offset of the time window, and a duration of the time window. To illustrate with reference to FIG. 3 , typically, three samples can be collected within one time window. If three valid samples are collected within time window 2, the three samples within 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 within time window 1 are discarded, i.e., the three samples within time window 1 are not included in the dataset.

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

[0084] Illustratively, the time window is a fixed time interval set or predefined by the second communication node (e.g., a base station), and the time window setting includes a time window period, a start time or slot offset of the time window, and a duration of the time window. To illustrate with an example in conjunction with FIG. 3, typically, 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 the two samples within time window 3 are all discarded.

[0085] Condition 3: There are at least P1 valid samples within a first predetermined period of time before the time corresponding to the first sample, where P1 is a positive integer. The first predetermined period of time and the value of P1 may be, but are not limited to, set by a higher layer, preset, or predefined.

[0086] Condition 4: There are at least P2 valid samples within a second predetermined period after the time corresponding to the first sample, where P2 is a positive integer. The second predetermined period and the value of P2 may be, but are not limited to, set by a higher layer, preset, or predefined.

[0087] Condition 5: P3 consecutive samples including the first sample within a third predetermined period are all valid samples, where P3 is a positive integer. The third predetermined period and the value of P3 may be, but are not limited to, set by a higher layer, preset, or predefined.

[0088] Condition 6: P4 consecutive samples including the first sample are all valid samples, where P4 is a positive integer, and the value of P4 may be, but is not limited to, set by a higher layer, preset, or predefined.

[0089] Condition 7: For an observation window consisting of P5 consecutive valid samples, including the first sample, there are 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 be, but are not limited to, set by a higher layer, preset, or predefined.

[0090] Condition 8: For a prediction window consisting of P7 consecutive valid samples including the first sample, there are at least P8 consecutive samples within a fifth predetermined period before the time corresponding to the first sample of the prediction window. P7 and P8 are all positive integers. The fifth predetermined period, the value of P7, and the value of P8 may be, but are not limited to, set by a higher layer, preset, or predefined.

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

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

[0093] In some embodiments, the first sample corresponds to different time sorting conditions when it is at a different time domain position within the time window. Illustratively, the time window is a fixed time interval set or predefined by a second communication node (e.g., a base station), and the time window settings include a time window period, a start time or slot offset of the time window, and a duration of the time window.

[0094] Exemplarily, if the first sample is the last sample in the time window, the time selection corresponding to the first sample is conditionsincludes the presence of at least a first predetermined number of valid samples within a first predetermined time period prior to the time corresponding to said first sample.

[0095] Exemplarily, if the first sample is the first sample in the time window, the time selection corresponding to the first sample is conditions includes there being at least a second predetermined number of valid samples within a second predetermined period of time after the time corresponding to the first sample.

[0096] Exemplarily, if the first sample is a sample other than the first sample or the last sample in the time window, the time selection corresponding to the first sample is conditions includes at least a first predetermined number of valid samples within a first predetermined time period before the time corresponding to the first sample, and at least a second predetermined number of valid samples within a second predetermined time period after the time corresponding to the first sample.

[0097] Regarding the time-domain prediction model, it should be understood that the time-domain prediction model predicts channel state information or beam information at one or more future times based on channel measurement results at multiple past times. Therefore, the data required for training and fine-tuning the time-domain prediction model mainly consists of two parts: feature data and label data. The feature data consists of samples at multiple times within an observation window, and the label data consists of samples at one or more times within a prediction window. Therefore, when training the model, all samples within the same observation and prediction windows must be collected. If one of the samples is discarded due to relatively poor quality or if a sample at a certain time is not collected for some reason (e.g., the reference signal resource is not transmitted or measured), all other samples within the relevant time should be discarded. This can improve the transmission efficiency of the dataset and the utilization rate of transmission resources.

[0098] In some embodiments, the sample may include a measurement result corresponding to a target reference signal resource in a reference signal resource set. For example, all reference signal resources in the reference signal resource set may be used as the target reference signal resource. For another example, some reference signal resources in the reference signal resource set may be used as the target reference signal resource. The target reference signal resource may be configured by a higher layer, configured in advance, or determined based on a predefined setting.

[0099] In some embodiments, the second communication node may transmit second indication information to the first communication node, and the second indication information may be used to indicate a target reference signal resource. That is, when configuring a reference signal resource set, the second communication node may additionally identify a reference signal resource to identify whether a sample should include measurement results corresponding to the reference signal resource set, or to indicate whether measurement results corresponding to the reference signal resource need to be reported. For example, if a transmission scheme (e.g., a transmit beam) corresponding to a reference signal resource belongs to the transmission scheme set used for model input data collection, the measurement results corresponding to the reference signal resource should be reported, and therefore, when configuring the reference signal resource set, the reference signal resource may be additionally identified as 1. If a transmission scheme corresponding to a reference signal resource does not belong to the transmission scheme set used for model input data collection, the reference signal resource may be additionally identified as 0 or not identified when configuring the reference signal resource set. Illustratively, the transmission scheme may include a beam.

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

[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 largest measurement index, where K is a positive integer, and the value of K may be, but is not limited to, configured by a higher layer, pre-configured, or pre-defined.

[0102] In some embodiments, the target reference signal resource may be the top K reference signal resources of the reference signal resource set having the largest measurement indicators other than the reference signal resource subset, and / or all reference signal resources of the reference signal resource subset, where K is a positive integer, and the value of K and the reference signal resource subset may be, but is not limited to, indicated by the second communication node, configured by a higher 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 largest measurement index in the reference signal resource set and / or all reference signal resources in the reference signal resource subset, where K is a positive integer, and the value of K and the reference signal resource subset may be, but is not limited to, indicated by the second communication node, configured by a higher layer, pre-configured, or pre-defined.

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

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

[0107] In some embodiments, during the data collection phase, the second communication node may configure a reference signal resource set to be transmitted periodically, i.e., the second communication node transmits reference signal resources of the same reference signal resource set at different times. The terminal may perform measurements on the same reference signal resource set at different times and obtain corresponding samples. In this manner, multiple samples are measured and obtained at different times. The first communication node may simultaneously report multiple samples measured at different times to the second communication node during a single data set reporting process. In order to enable the second communication node to better utilize the samples in the data set, the second communication node may obtain time information of the samples in the data set. In this regard, the first communication node may explicitly or implicitly notify the second communication node of the time information of the samples in the data set.

[0108] In some embodiments, the implicit scheme may be, for example, that the M samples in the data set are transmitted sequentially according to the order of their measurement times. For example, the M samples are transmitted sequentially from earliest to latest measurement times, or the M samples are transmitted sequentially from latest to latest measurement times. It should be understood that since the second communication node knows the transmission times or transmission periods of the reference signal resource set, the second communication node can obtain the time information of the M samples according to the reception order of the M samples in the data set.

[0109] Illustratively, the M samples in the dataset are transmitted sequentially according to the order of their measurement times, e.g., the M samples in the dataset may be implemented to be sorted in the message carrying the dataset according to the order of their measurement times.

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

[0111] In some embodiments, an explicit scheme may be for the first communication node to transmit a bitmap sequence, the bitmap sequence including a plurality of indicator bits, each of which is used to indicate whether the data set includes a sample collected at a time corresponding to the indicator bit. For example, a first value (e.g., 0) of the indicator bit indicates that the data set does not include a sample collected at a time corresponding to the indicator bit, and a second value (e.g., 1) of the indicator bit indicates that the data set includes a sample collected at a time corresponding to the indicator bit. Illustratively, as shown in FIG. 4 , the first communication node would normally be able to collect six valid samples, but for some reason, samples 3 and 6 are discarded or not collected, and the data set includes 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 meet requirements from N samples based on a preset rule to construct a data set, thereby preventing unnecessary samples from being included in the data set fed back from the first communication node to the second communication node, improving the transmission efficiency of the data set and reducing the overhead of transmission resources.

[0113] Figure 5 shows the second communication node Therefore, execute 10 is a method for receiving a data set according to some embodiments, the method comprising the steps of:

[0114] S201, a second communication node receives a data set.

[0115] The dataset includes M samples, and the M samples are selected from the N samples based on a preset rule, where M is a positive integer equal to or less than N. The description of the preset rule can be found above, and will not be repeated here.

[0116] Furthermore, the N samples may be obtained based on measurements of a reference signal resource set, and the obtaining method may also refer to the above description, and the description thereof will be omitted here.

[0117] In some embodiments, the second communication node may determine the time information of the M samples according to the order of reception of the M samples in the data set.

[0118] In some embodiments, the second communication node may receive time information for the M samples in the data set.

[0119] In some embodiments, the second communication node may receive a bitmap sequence to obtain time information for M samples in a data set, the bitmap sequence including a plurality of indication bits that are used to indicate whether the data set includes a sample collected at a time corresponding to the indication bit.

[0120] In the above embodiment, the dataset received by the second communication node contains the selected M samples, so it is considered that the dataset does not contain any useless samples, thereby improving the transmission efficiency of the dataset and reducing the overhead of transmission resources.

[0121] Furthermore, for a detailed explanation of S201, the explanation of S101 to S103 above can be referred to, and the explanation thereof will be omitted here.

[0122] The above describes the solution provided by the present disclosure mainly from the perspective of interactions between each node. It should be understood that each node, for example, the second node and the first node, includes a hardware structure and / or software module corresponding to the execution of each function to realize the above-described function. Those skilled in the art will readily understand that the present invention can be realized in the form of hardware or a combination of hardware and computer software by combining the algorithm steps of each example described in the embodiments disclosed herein. Whether a function is performed by hardware or by computer software driving 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 realization should not be considered beyond the scope of the present invention.

[0123] 6 is a schematic diagram of a communication device 60 according to some embodiments. As shown in FIG. 6, the communication device 60 includes an acquiring unit 601, a processing unit 602, and a sending unit 603. The communication device 60 may be the first communication node described above, or 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 acquiring unit 601 is used to acquire N samples, where N is a positive integer. The processing unit 602 is used to select M samples for constituting a dataset from the N samples based on a preset rule, where M is a positive integer less than or equal to N. The transmitting unit 603 is used to transmit the dataset.

[0125] In some embodiments, the preset rule indicates that a first sample in the data set satisfies at least one of: the first sample is a valid sample; a second sample related to the first sample is a valid sample; and the first sample satisfies a time sorting condition, and the first sample is any sample in the data set.

[0126] In some embodiments, the valid samples satisfy at least one of the following: sample parameters of the valid samples satisfy corresponding parameter threshold requirements; the number of sample parameters among the valid samples that satisfy the parameter threshold requirement is greater than a first number threshold; all sample parameters of a first type among the valid samples satisfy the parameter threshold requirement; all sample parameters of a second type among the valid samples satisfy the parameter threshold requirement; the number of sample parameters of a first type among the valid samples that satisfy the parameter threshold requirement is greater than a second number threshold; and the number of sample parameters of a second type among the valid samples that satisfy the parameter threshold requirement is greater than a third number threshold; the sample parameters of the first type are obtained based on measurements of reference signal resources of a first type of the reference signal resource set, and the sample parameters of the second type are obtained based on measurements of reference signal resources of a second type of the reference signal resource set or the above reference signal resource set.

[0127] In some embodiments, 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 have an associated relationship.

[0128] In some embodiments, the association relationship between the first reference signal resource set and the second reference signal resource set satisfies at least one of: 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 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 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 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 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 units; 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 sorting condition includes at least one of: all samples within a 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 number threshold; there are at least P1 valid samples within a first predetermined period before the time corresponding to the first sample, where P1 is a positive integer; there are at least P2 valid samples within a second predetermined period after the time corresponding to the first sample, where P2 is a positive integer; and P3 consecutive samples including the first sample within a third predetermined period are all valid samples, where P3 is a positive integer, and the time corresponding to the first sample indicates either a transmission time of the reference signal resource set corresponding to the first sample, a measurement time, or a measurement result reporting time.

[0130] In some embodiments, the first sample corresponds to different time sorting conditions if it is at a different time domain location within the time window.

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

[0132] In some embodiments, the M samples in the data set are transmitted sequentially according to the order of their measurement times.

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

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

[0135] In some embodiments, the transmitting unit 603 is used to transmit a bitmap sequence, the bitmap sequence including a plurality of indicator bits, the indicator bits being used to indicate whether the data set includes a sample collected at a time corresponding to the indicator bit.

[0136] 7 is a schematic diagram of another communication device according to some embodiments. As shown in FIG. 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 may be a chip within the second communication node. When the communication device 70 is used to realize the functions of the second communication node in the above embodiments, each unit may be used to realize, for example, the following functions:

[0137] In some embodiments, the receiving unit 701 is used to receive a dataset, the dataset including M samples, the M samples being selected and obtained from N samples based on a pre-defined rule, N being a positive integer, and M being a positive integer less than or equal to N.

[0138] In some embodiments, the preset rule indicates that a first sample in the data set satisfies at least one of: the first sample is a valid sample; a second sample related to the first sample is a valid sample; and the first sample satisfies a time sorting condition, and the first sample is any sample in the data set.

[0139] In some embodiments, the valid samples satisfy at least one of the following: sample parameters of the valid samples satisfy corresponding parameter threshold requirements; the number of sample parameters among the valid samples that satisfy the parameter threshold requirement is greater than a first number threshold; all sample parameters of a first type among the valid samples satisfy the parameter threshold requirement; all sample parameters of a second type among the valid samples satisfy the parameter threshold requirement; the number of sample parameters of a first type among the valid samples that satisfy the parameter threshold requirement is greater than a second number threshold; and the number of sample parameters of a second type among the valid samples that satisfy the parameter threshold requirement is greater than a third number threshold; the sample parameters of the first type are obtained based on measurements of reference signal resources of a first type of the reference signal resource set, and the sample parameters of the second type are obtained based on measurements of reference signal resources of a second type of the reference signal resource set or the above reference signal resource set.

[0140] In some embodiments, 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 have an associated relationship.

[0141] In some embodiments, the association relationship between the first reference signal resource set and the second reference signal resource set satisfies at least one of: 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 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 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 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 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 units; 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 sorting condition includes at least one of: all samples within a 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 number threshold; there are at least P1 valid samples within a first predetermined period before the time corresponding to the first sample, where P1 is a positive integer; there are at least P2 valid samples within a second predetermined period after the time corresponding to the first sample, where P2 is a positive integer; and P3 consecutive samples including the first sample within a third predetermined period are all valid samples, where P3 is a positive integer, and the time corresponding to the first sample indicates either a transmission time of the reference signal resource set corresponding to the first sample, a measurement time, or a measurement result reporting time.

[0143] In some embodiments, the first sample corresponds to different time sorting conditions if it is at a different time domain location within the time window.

[0144] In some embodiments, if the first sample is the last sample in the time window, the time selection corresponding to the first sample is conditions includes the presence of at least a first predetermined number of valid samples within a first predetermined period of time prior to the collection time of the first sample, or, if the first sample is the first sample within the time window, the time selection corresponding to the first sample. conditions includes the presence of at least a second predetermined number of valid samples within a second predetermined period of time after the collection time of the first sample, or, if the first sample is a sample other than the first or last sample in the time window, the presence of a time selection corresponding to the first sample. conditions includes at least a first predetermined number of valid samples within a first predetermined time period before the collection time of the first sample, and at least a second predetermined number of valid samples within a second predetermined time 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 the M samples according to the order of reception of the M samples in the data set.

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

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

[0148] In some embodiments, the receiving unit 701 is further used to receive a bitmap sequence, the bitmap sequence including a plurality of indicator bits, the indicator bits being used to indicate whether the data set includes a sample collected at a time corresponding to the indicator bit.

[0149] 6 and 7 may be called modules, for example, a transmitting unit may be called a transmitting module. In the embodiments shown in FIGS. 6 and 7, the names of the units may not be the names shown in the drawings, for example, a transmitting unit may be called a communication unit, and a receiving unit may be called a communication unit.

[0150] 6 and 7 may be implemented in the form of a software functional module and stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solutions of the embodiments of the present disclosure may be essentially embodied in the form of a software product, or a portion contributing to the prior art, or the entire technical solution or a portion thereof, may be embodied in the form of a software product. The software product is stored in a storage medium and includes several instructions for causing a computer device (such as a personal computer, a server, or a network device) or a processor to execute all or a portion of the steps of the method of each embodiment of the present disclosure. Storage media for storing computer software products include various media capable of storing program code, such as a universal serial bus flash drive (USB flash drive), a removable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0151] When the functions of the above integrated modules are realized in the form of hardware, an embodiment of the present disclosure provides a structural schematic diagram of a communication device, which may be the above-mentioned communication device 60 or communication device 70. As shown in FIG. 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 perform various exemplary logical blocks, modules, and circuits described in connection with the teachings of this disclosure. The processor 802 may be a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. The processor 802 may implement or perform various exemplary logical blocks, modules, and circuits described in connection with the teachings of this disclosure. The processor 802 may also be a combination that performs computing functions, such as a combination including one or more microprocessors, a combination of a digital signal processor (DSP) and a microprocessor, etc.

[0153] The communication interface 803 is used to connect to other devices via a communication network, which may be an Ethernet, a wireless access network, a wireless local area network (WLAN), etc.

[0154] Memory 801 may be, but is not limited to, read-only memory (ROM) or other type of static storage capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage capable of storing information and instructions, electrically erasable programmable read-only memory (EEPROM), disk storage media or other magnetic storage devices, or any other medium accessible by a computer that can be used to carry or store desired program code in the form of instructions or data structures.

[0155] In some embodiments, the memory 801 may exist independently of the processor 802, and the memory 801 may be connected to the processor 802 via a bus 804 and used to store instructions or program code. The processor 802 may access and execute instructions or program code stored in the memory 801 to implement the functions provided by the embodiments of the present disclosure. Submitting a Dataset The method can be realized.

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

[0157] The bus 804 may be an extended industry standard architecture (EISA) bus, etc. The bus 804 is divided into an address bus, a data bus, a control bus, etc. For simplicity of illustration, only one thick line is shown in FIG. 8, but this does not mean that there is only one bus or only one type of bus.

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

[0159] An embodiment of the present disclosure further provides a computer-readable storage medium. Computer instructions can instruct associated hardware to complete all or part of the processes in the method embodiments. The program may be stored in the computer-readable storage medium, and when executed, the program can include the processes in the method embodiments. The computer-readable storage medium may be one of the above-mentioned embodiments or a memory. The computer-readable storage medium may be an external storage device of the second node or the first node, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., installed in the second node or the first node. Furthermore, the computer-readable storage medium may include both an internal storage device and an external storage device of the second node or the first node. The computer-readable storage medium is used to store the computer program and other programs and data required by the second node or the first node. The computer-readable storage medium can also be used to temporarily store output data or data to be output. The computer-readable storage medium includes a non-transitory computer-readable storage medium.

[0160] An embodiment of the present disclosure includes a computer program M It is further provided that, when the computer program product is executed on a computer, the computer Submitting a Dataset Either method can be performed.

[0161] Although the present disclosure is described herein with reference to exemplary embodiments, in the course of practicing the claimed disclosure, those skilled in the art will understand and implement other variations of the disclosed embodiments by studying the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the words "a" or "an" do not exclude a plurality. A single processor or other unit may fulfill several functions recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot produce beneficial effects.

[0162] Although the present disclosure has been described in terms of features and embodiments thereof, it is apparent that various modifications and combinations may be made without departing from the spirit and scope of the present disclosure. Correspondingly, the specification and drawings are only exemplary descriptions of the present disclosure as defined by the appended claims, and are deemed to cover any and all modifications, variations, combinations, or equivalents within the scope of the present disclosure. Obviously, those skilled in the art can make various modifications and variations to the present disclosure without departing from the spirit and scope of the present disclosure. Thus, if these modifications and variations of the present disclosure fall within the scope of the claims of the present disclosure and their equivalent technologies, the present disclosure is intended to include these modifications and variations as well.

[0163] The above content is merely a specific embodiment of the present disclosure, and the scope of protection of the present disclosure is not limited thereto, and any modifications and substitutions within the technical scope disclosed in the present disclosure shall be included in the scope of protection of the present disclosure. Therefore, the scope of protection of the present disclosure should be subject to the scope of protection of the claims.

Claims

1. A method for transmitting a data set applied to a first communication node, comprising: obtaining N samples based on measurements of a reference signal resource set, where N is a positive integer; selecting M samples for constructing a dataset from the N samples based on a predetermined rule, where M is a positive integer equal to or less than N; and transmitting said data set.

2. The predetermined rule is that a first sample in the data set is the first sample is a valid sample; a second sample correlated with the first sample is a valid sample; and the first sample satisfies a time selection condition; The method of claim 1 , wherein the first sample is any sample in the data set.

3. The valid sample is sample parameters of the valid samples satisfy corresponding parameter threshold requirements; a number of sample parameters among the valid samples that meet a parameter threshold requirement is greater than a first number threshold; Among the valid samples, all sample parameters of a first type satisfy a parameter threshold requirement; Among the valid samples, sample parameters of a second type all satisfy a parameter threshold requirement; the number of sample parameters of the first type among the valid samples that meet the parameter threshold requirement is greater than a second number threshold; and the number of sample parameters of the second type among the valid samples that meet the parameter threshold requirement is greater than a third number threshold; 3. The method of claim 2, wherein the sample parameters of the first type are obtained based on measurements of reference signal resources of a first type of a reference signal resource set, and the sample parameters of the second type are obtained based on measurements of reference signal resources of a second type of the reference signal resource set or the reference signal resource set.

4. 3. The method of 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 have an associated relationship.

5. The association 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 are within the same time unit or adjacent time units; a difference between a transmission time of the first reference signal resource set and a 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 units; a 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 units; and 5. The method of claim 4, wherein a difference between a measurement result reporting time of the first reference signal resource set and a measurement result reporting time of the second reference signal resource set is less than a third predetermined time threshold.

6. The time selection condition is: all samples within a 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 number threshold; there are at least P1 valid samples within a first predetermined time period prior to the time corresponding to said first sample, where P1 is a positive integer; there are at least P2 valid samples within a second predetermined period after the time corresponding to the first sample, where P2 is a positive integer; and P3 consecutive samples including the first sample are all valid samples, where P3 is a positive integer; The method of claim 2 , wherein the time corresponding to the first sample indicates one of a transmission time of a reference signal resource set corresponding to the first sample, a measurement time, or a measurement result report time.

7. The method of claim 6 , wherein the first sample corresponds to different time sorting conditions when it is at a different time-domain position within the time window.

8. If the first sample is the last sample in the time window, the time sorting rule corresponding to the first sample includes that there are at least a first predetermined number of valid samples within a first predetermined time 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 sorting rule corresponding to the first sample includes that there are at least a second predetermined number of valid samples within a second predetermined time period after the time corresponding to the first sample; or 8. The method of claim 7, wherein if the first sample is a sample other than the first or last sample in the time window, the time sorting rule corresponding to the first sample includes that there are at least a first predetermined number of valid samples within a first predetermined period of time before the time corresponding to the first sample, and there are at least a second predetermined number of valid samples within a second predetermined period of time after the time corresponding to the first sample.

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

10. The method of claim 1 , further comprising transmitting time information corresponding to the M samples.

11. The method of claim 10 , wherein the time information corresponding to the sample includes a transmission time, a measurement time, or a measurement result report time of a reference signal resource set corresponding to the sample.

12. 2. The method of claim 1, further comprising transmitting a bitmap sequence, the bitmap sequence including a plurality of indicator bits, the indicator bits being used to indicate whether the data set includes a sample collected at a time corresponding to the indicator bit.

13. A method for receiving a data set applied to a second communication node, comprising:

1. A method for receiving a dataset, comprising: receiving a dataset, the dataset including M samples, the M samples being selected from N samples based on a predetermined rule, N being a positive integer, and M being a positive integer less than or equal to N.

14. The predetermined rule is that a first sample in the data set is the first sample is a valid sample; a second sample correlated with the first sample is a valid sample; and the first sample satisfies a time selection condition; The method of claim 13 , wherein the first sample is any sample in the data set.

15. The valid sample is sample parameters of the valid samples satisfy corresponding parameter threshold requirements; a number of sample parameters among the valid samples that meet a parameter threshold requirement is greater than a first number threshold; Among the valid samples, all sample parameters of a first type satisfy a parameter threshold requirement; Among the valid samples, sample parameters of a second type all satisfy a parameter threshold requirement; the number of sample parameters of the first type among the valid samples that meet the parameter threshold requirement is greater than a second number threshold; and the number of sample parameters of the second type among the valid samples that meet the parameter threshold requirement is greater than a third number threshold; 15. The method of claim 14, wherein the sample parameters of the first type are obtained based on measurements of reference signal resources of a first type of a reference signal resource set, and the sample parameters of the second type are obtained based on measurements of reference signal resources of a second type of the reference signal resource set or the reference signal resource set.

16. 15. The method of claim 14, 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 have an associated relationship.

17. The association 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 are within the same time unit or adjacent time units; a difference between a transmission time of the first reference signal resource set and a 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 units; a 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 units; and 17. The method of claim 16, comprising at least one of: a difference between a measurement result reporting time of the first reference signal resource set and a measurement result reporting time of the second reference signal resource set being less than a third predetermined time threshold.

18. The time selection condition is: all samples within a 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 number threshold; there are at least P1 valid samples within a first predetermined time period prior to the time corresponding to said first sample, where P1 is a positive integer; there are at least P2 valid samples within a second predetermined period after the time corresponding to the first sample, where P2 is a positive integer; and P3 consecutive samples including the first sample are all valid samples, where P3 is a positive integer; The method of claim 14 , wherein the time corresponding to the first sample indicates one of a transmission time of a reference signal resource set corresponding to the first sample, a measurement time, or a measurement result report time.

19. 20. The method of claim 18, wherein the first sample corresponds to different time sorting conditions when it is at a different time-domain location within the time window.

20. If the first sample is the last sample in the time window, the time sorting rule corresponding to the first sample includes that there are at least a first predetermined number of valid samples within a first predetermined time 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 sorting rule corresponding to the first sample includes that there are at least a second predetermined number of valid samples within a second predetermined time period after the time corresponding to the first sample; or 20. The method of claim 19, wherein if the first sample is a sample other than the first or last sample in the time window, the time sorting rule corresponding to the first sample includes that there are at least a first predetermined number of valid samples within a first predetermined period of time before the time corresponding to the first sample, and there are at least a second predetermined number of valid samples within a second predetermined period of time after the time corresponding to the first sample.

21. The method of claim 13 , further comprising determining time information of the M samples in the data set according to their order of receipt.

22. The method of claim 13 , further comprising receiving time information corresponding to the M samples.

23. The method of claim 22 , wherein the time information corresponding to the sample includes a transmission time, a measurement time, or a measurement result reporting time of a reference signal resource set corresponding to the sample.

24. 14. The method of claim 13, further comprising receiving a bitmap sequence, the bitmap sequence including a plurality of indicator bits, the indicator bits being used to indicate whether the data set includes a sample collected at a time corresponding to the indicator bit.

25. A communications device comprising a memory and a processor, the memory and processor being coupled, the memory being adapted to store instructions executable by the processor, the processor, when executing the instructions, performing the method of any one of claims 1 to 24.

26. 25. A computer readable storage medium having stored thereon computer instructions that, when executed on a communications device, cause the communications device to perform a method according to any one of claims 1 to 24.

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