WO2021104020A1

WO2021104020A1 - Data transmission method, sending device and receiving device

Info

Publication number: WO2021104020A1
Application number: PCT/CN2020/128080
Authority: WO
Inventors: 徐剑标; 秦熠; 汪凡
Original assignee: 华为技术有限公司
Priority date: 2019-11-30
Filing date: 2020-11-11
Publication date: 2021-06-03
Also published as: CN112887068B; CN112887068A

Abstract

Provided in the embodiments of the present application are a data transmission method, a sending device and a receiving device. The data transmission method comprises: dividing a time-frequency resource corresponding to data to be transmitted into a plurality of incoherent resource blocks, wherein each incoherent resource block corresponds to a post-modulation code word of the data to be transmitted; pre-coding the code word corresponding to each incoherent resource block to generate a data frame, a signal carried on a preset resource position of each incoherent resource block in the data frame being a preset pilot signal, and the preset pilot signal being used for the receiving device to perform channel estimation; and sending the data frame and demodulation parameters to the receiving device, wherein the demodulation parameter is used for the receiving device to demodulate the signal carried by the data frame. The signal carried on a preset resource position in the each incoherent resource block is adjusted to be a pilot signal. On the basis of not reducing the size of the incoherent resource blocks and not increasing spectrum overhead, the pilot signal is introduced, thus improving data transmission effect.

Description

Data transmission method, sending device and receiving device

This application claims the priority of a Chinese patent application filed with the Chinese Patent Office, the application number is 201911208490.3, and the application name is "Data Transmission Method, Sending Device, and Receiving Device" on November 30, 2019. The entire content is incorporated herein by reference. Applying.

Technical field

The embodiments of the present application relate to the field of communication technologies, and in particular, to a data transmission method, a sending device, and a receiving device.

Background technique

In a communication system, the sending end performs processes such as encoding, scrambling, and modulation on the data to be sent, and finally maps it to the scheduled time-frequency resource, and sends it to the receiving end through a channel. Correspondingly, after receiving the signal on the channel, the receiving end can obtain data through signal detection, demodulation, descrambling, and decoding processes.

The data transmission between the sending end and the receiving end may include coherent transmission and non-coherent transmission (NCT). In coherent transmission, a reference signal (RS) that is known by both the sending end and the receiving end is also mapped on the scheduled time-frequency resources. The receiving end performs channel estimation on the channel according to the known reference signal and the received reference signal, and detects the signal on the channel according to the channel state information to obtain data. In non-coherent transmission, there is no need to transmit a reference signal, and the receiving end obtains data based on the signal on the channel without channel state information. Since non-coherent transmission does not need to transmit reference signals, resource utilization is higher.

During data transmission, the channel changes in the time dimension and the frequency domain. When the channel states on the scheduled time-frequency resources are different, it will greatly affect the performance of incoherent transmission. The scheduled time-frequency resources can be divided into multiple non-coherent modulated resource blocks, and the channels corresponding to the resource blocks are approximately considered to be the same. However, the smaller the divided resource blocks and the larger the number of resource blocks, the smaller the non-coherent gain. This non-coherent transmission method of block transmission brings a loss of non-coherent gain.

Summary of the invention

The embodiments of the present application provide a data transmission method, a sending device, and a receiving device, which improve the effect of data transmission.

In the first aspect, an embodiment of the present application provides a data transmission method, including:

Divide the time-frequency resource corresponding to the data to be transmitted into multiple non-coherent resource blocks, each non-coherent resource block corresponds to a codeword modulated by the data to be transmitted; precoding the code word corresponding to each non-coherent resource block, Generate a data frame; the signal carried on the preset resource position of each incoherent resource block in the data frame is a preset pilot signal, and the preset pilot signal is used by the receiving device for channel estimation; sending the data frame and solution to the receiving device Modulation parameters; demodulation parameters are used by the receiving device to demodulate the signal carried by the data frame.

Through the data transmission method provided in the first aspect, the sending device adjusts the signal carried on the preset resource position in each non-coherent resource block into a pilot signal, without reducing the size of the non-coherent resource block and without increasing the spectrum overhead On the basis of, the pilot signal is introduced to combine non-coherent transmission and coherent transmission to improve the data transmission effect.

Optionally, in a possible implementation manner of the first aspect, precoding the codeword corresponding to each non-coherent resource block to generate a data frame includes: obtaining precoding coefficients for each non-coherent resource block The signal component carried by the codeword corresponding to the non-coherent resource block at each resource position in the non-coherent resource block; the precoding coefficient is used to make the codeword corresponding to the non-coherent resource block be in the preamble of the non-coherent resource block. It is assumed that the signal component carried on the resource location is transformed into a preset pilot signal; the codeword corresponding to the non-coherent resource block is linearly transformed to the signal component carried on each resource location in the non-coherent resource block according to the precoding coefficient, Generate a data frame.

Optionally, in a possible implementation manner of the first aspect, dividing the time-frequency resource corresponding to the data to be transmitted into multiple incoherent resource blocks includes: acquiring the channel coherence granularity, which is used to indicate the channel coherence granularity The maximum time-frequency domain size occupied by non-coherent resource blocks determined by the coherence time and channel coherence bandwidth; the time-frequency resource is divided into multiple non-coherent resource blocks according to the channel coherence granularity.

Optionally, in a possible implementation manner of the first aspect, dividing the time-frequency resource into multiple non-coherent resource blocks according to the channel coherence granularity includes: obtaining a correction coefficient, where the correction coefficient is greater than 0 and less than or equal to 1; Modification coefficient and channel coherence granularity, divide the time-frequency resource into N first non-coherent resource blocks of the same size and one second non-coherent resource block; N is a positive integer, the time-frequency domain occupied by the first non-coherent resource block The size is greater than or equal to the time-frequency domain size occupied by the second incoherent resource block.

Optionally, in a possible implementation manner of the first aspect, the difference between the time-frequency domain size occupied by the first incoherent resource block and the time-frequency domain size occupied by the second incoherent resource block is less than a preset threshold.

Optionally, in a possible implementation of the first aspect, obtaining the channel coherence granularity includes: receiving the channel coherence time and channel coherence bandwidth sent by the receiving device; obtaining the channel coherence granularity according to the channel coherence time and the channel coherence bandwidth; Alternatively, the channel coherence time and the channel coherence bandwidth are obtained by estimating the channel; the channel coherence granularity is obtained according to the channel coherence time and the channel coherence bandwidth.

Optionally, in a possible implementation manner of the first aspect, sending the demodulation parameter to the receiving device includes: sending the demodulation parameter to the receiving device through signaling.

In the second aspect, an embodiment of the present application provides a data transmission method, including: receiving a data frame and demodulation parameters sent by a sending device; the data frame includes a plurality of incoherent resource blocks, and the preamble of each incoherent resource block in the data frame Suppose the signal carried on the resource location is the preset pilot signal, which is used for channel estimation; the demodulation parameter is used to demodulate the signal carried by the data frame; according to the preset pilot signal carried by each non-coherent resource block Set the pilot signal to perform channel estimation to obtain the channel state information corresponding to each incoherent resource block; demodulate the signal carried by the data frame according to the channel state information and demodulation parameters corresponding to each incoherent resource block to obtain demodulation data.

Optionally, in a possible implementation manner of the second aspect, demodulating the signal carried by the data frame according to the channel state information and demodulation parameters corresponding to each incoherent resource block to obtain demodulated data includes: For each incoherent resource block, the candidate target signal set is obtained according to the pre-allocated codeword set, the codeword corresponding to the incoherent resource block, and the channel state information; according to the candidate target signal set corresponding to the incoherent resource block and the The received signal corresponding to the non-coherent resource block performs maximum likelihood estimation to obtain demodulated data.

Optionally, in a possible implementation manner of the second aspect, it further includes: obtaining the statistical covariance of the channel estimation error; according to the candidate target signal set corresponding to the incoherent resource block and the reception corresponding to the incoherent resource block The signal performs maximum likelihood estimation to obtain demodulation data, including: performing maximum likelihood estimation according to the statistical covariance of the channel estimation error, the candidate target signal set corresponding to the incoherent resource block, and the received signal corresponding to the incoherent resource block, Obtain demodulated data.

Optionally, in a possible implementation manner of the second aspect, receiving the demodulation parameter sent by the sending device includes: receiving the demodulation parameter sent by the sending device through signaling.

In a third aspect, an embodiment of the present application provides a sending device, including: an allocation module, configured to divide the time-frequency resource corresponding to the data to be transmitted into multiple non-coherent resource blocks, and each non-coherent resource block corresponds to the data to be transmitted. The modulated codeword; the precoding module is used to precode the codeword corresponding to each non-coherent resource block to generate a data frame; the signal carried on the preset resource position of each non-coherent resource block in the data frame is The preset pilot signal is used by the receiving device for channel estimation; the sending module is used to send the data frame and demodulation parameters to the receiving device; the demodulation parameter is used by the receiving device to decode the signal carried by the data frame Tune.

Optionally, in a possible implementation manner of the third aspect, the precoding module is specifically configured to: for each incoherent resource block, obtain the precoding coefficient and the codeword corresponding to the incoherent resource block in the incoherent resource block. The signal component carried at each resource position in the resource block; the precoding coefficient is used to transform the signal component carried at the preset resource position of the non-coherent resource block into a preset pilot by the codeword corresponding to the non-coherent resource block Signal; according to the precoding coefficients, the codeword corresponding to the non-coherent resource block carries out linear transformation on the signal component carried on each resource position in the non-coherent resource block to generate a data frame.

Optionally, in a possible implementation manner of the third aspect, the allocation module is specifically configured to: obtain the channel coherence granularity, and the channel coherence granularity is used to indicate the occupancy of incoherent resource blocks determined according to the channel coherence time and the channel coherence bandwidth. Maximum time-frequency domain size; time-frequency resources are divided into multiple non-coherent resource blocks according to the channel coherence granularity.

Optionally, in a possible implementation manner of the third aspect, the allocation module is specifically configured to: obtain a correction coefficient, where the correction coefficient is greater than 0 and less than or equal to 1, and divide the time-frequency resource into N first non-coherent resource blocks and one second non-coherent resource block of the same size; N is a positive integer, and the time-frequency domain size occupied by the first non-coherent resource block is greater than or equal to the time occupied by the second non-coherent resource block Frequency domain size.

Optionally, in a possible implementation manner of the third aspect, the difference between the time-frequency domain size occupied by the first incoherent resource block and the time-frequency domain size occupied by the second incoherent resource block is less than a preset threshold.

Optionally, in a possible implementation manner of the third aspect, the allocation module is specifically configured to: receive the channel coherence time and the channel coherence bandwidth sent by the receiving device through the receiving module; and obtain the channel coherence according to the channel coherence time and the channel coherence bandwidth. Granularity; alternatively, channel coherence time and channel coherence bandwidth are obtained by estimating the channel; channel coherence granularity is obtained according to channel coherence time and channel coherence bandwidth.

Optionally, in a possible implementation manner of the third aspect, the sending module is specifically configured to send demodulation parameters to the receiving device through signaling.

In a fourth aspect, an embodiment of the present application provides a receiving device, including: a receiving module, configured to receive a data frame and demodulation parameters sent by the sending device; the data frame includes a plurality of incoherent resource blocks, and each incoherent resource block in the data frame The signal carried on the preset resource position of the resource block is the preset pilot signal, which is used for channel estimation; the demodulation parameter is used for demodulating the signal carried by the data frame; the channel estimation module is used for Channel estimation is performed according to the preset pilot signal carried by each non-coherent resource block, and the channel state information corresponding to each non-coherent resource block is obtained; the demodulation module is used to perform channel state information according to the channel state information corresponding to each non-coherent resource block and The demodulation parameter demodulates the signal carried by the data frame to obtain demodulated data.

Optionally, in a possible implementation manner of the fourth aspect, the demodulation module is specifically configured to: for each incoherent resource block, according to the pre-allocated codeword set, the codeword corresponding to the incoherent resource block, and Channel state information, obtain a candidate target signal set; perform maximum likelihood estimation according to the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain demodulated data.

Optionally, in a possible implementation manner of the fourth aspect, the demodulation module is further configured to: obtain the statistical covariance of the channel estimation error; the demodulation module is specifically configured to: according to the statistical covariance of the channel estimation error, the The candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block are subjected to maximum likelihood estimation to obtain demodulation data.

Optionally, in a possible implementation manner of the fourth aspect, the receiving module is specifically configured to receive the demodulation parameter sent by the sending device through signaling.

In a fifth aspect, an embodiment of the present application provides a device including a processor and a memory, and the processor is configured to call a program stored in the memory to execute the data transmission method provided in the first aspect or the second aspect above.

In a sixth aspect, the embodiments of the present application provide a computer-readable storage medium, and the computer-readable storage medium stores instructions. When the instructions run on a computer or a processor, the above-mentioned first or second aspect can be implemented. Data transmission method.

In a seventh aspect, an embodiment of the present application provides a program product, the program product includes a computer program, the computer program is stored in a readable storage medium, and at least one processor of the device can read from the readable storage medium In the computer program, the at least one processor executes the computer program to enable the device to implement the data transmission method provided in the above first aspect or the second aspect.

In each of the above aspects, optionally, in a possible implementation manner, the demodulation parameter includes at least one of the following: the total number of incoherent resource blocks, a set of pre-allocated codewords, and the corresponding to each incoherent resource block Codeword, the preset resource location of each non-coherent resource block and the preset pilot signal carried by the preset resource location, and the time-frequency domain size occupied by each non-coherent resource block.

Description of the drawings

FIG. 1 is an architecture diagram of a communication system to which an embodiment of this application is applicable;

FIG. 2 is a schematic diagram of the structure of a time-frequency resource provided by an embodiment of the application;

FIG. 3 is a message interaction diagram of the data transmission method provided by an embodiment of the application;

4 is a schematic structural diagram of a non-coherent modulation resource block provided by an embodiment of the application;

FIG. 5 is a flowchart of a data transmission method provided by an embodiment of this application;

FIG. 6 is another flowchart of a data transmission method provided by an embodiment of this application;

FIG. 7 is a schematic structural diagram of a sending device provided by an embodiment of this application;

FIG. 8 is a schematic structural diagram of a receiving device provided by an embodiment of this application;

FIG. 9 is a schematic structural diagram of a device provided by an embodiment of the application.

Detailed ways

The embodiments of the present application are described below in conjunction with the drawings.

Please refer to FIG. 1, which is an architecture diagram of a communication system provided by an embodiment of this application. As shown in FIG. 1, the communication system may include a terminal device 100 and a network device 200. The embodiment of the present application does not limit the number of terminal devices 100 and network devices 200. The terminal device 100 and the network device 200 may use air interface resources for wireless communication. Optionally, the air interface resources may include at least one of time domain resources, frequency domain resources, code resources, and space resources. Specifically, the terminal device 100 located within the coverage area of the network device 200, when the network device 200 is the sender, can send downlink information to the terminal device 100. Correspondingly, the terminal device 100, as a receiver, can receive the downlink information sent by the network device 200. When the terminal device 100 acts as a sender, it can send uplink information to the network device 200. Correspondingly, the network device 200, as the receiver, can receive the uplink information sent by the terminal device 100. The terminal device 100 may be a fixed location, or it may be movable.

Optionally, the communication system may also include other devices. For example, the communication system may also include core network equipment (not shown in FIG. 1). The network device 200 may be connected to the core network device in a wireless or wired manner. The core network device and the network device 200 can be separate and different physical devices, or the functions of the core network device and the network device 200 can be integrated on the same physical device, or the core network device can be integrated on the same physical device. Part of the function and part of the function of the network device 200. For another example, the communication system may also include a wireless relay device or a wireless backhaul device (not shown in FIG. 1).

It should be noted that the embodiment of the present application does not limit the type of the communication system. For example, it may include but not limited to the following types: long term evolution (LTE) system, LTE-Advanced (LTE-Advanced), new radio access technology (NR) system, 5G system, ultra-reliable Ultra-reliable and low latency communications (URLLC) systems or massive machine type communications (mMTC) systems.

The network device 200 is a device for transmitting and receiving signals on the network side, for example, a radio access network (RAN) node that connects a terminal device to a wireless network. At present, some examples of RAN nodes are: generation Node B (gNB), transmission reception point (TRP), evolved Node B (evolved Node B, eNB) in NR or 5G systems, and wireless Network controller (radio network controller, RNC), node B (Node B, NB), base station controller (BSC), base transceiver station (BTS), home base station (for example, home evolved NodeB) , Or home Node B, HNB), baseband unit (BBU), relay station, or wireless fidelity (Wifi) access point (AP), etc. In a network structure, the network device may include a centralized unit (CU) node, or a distributed unit (DU) node, or a RAN device including a CU node and a DU node. The wireless coverage area of the network device 200 may include one or more cells. The cell may be a macro cell or a small cell. Optionally, small cells may include: metro cells, micro cells, pico cells, or femto cells. The embodiment of the present application does not limit the specific technology and specific device form adopted by the network device 200.

The terminal device 100, also known as user equipment (UE), mobile station (MS), or mobile terminal (MT), is a device that provides users with voice/data connectivity , For example, handheld devices with wireless connectivity, or vehicle-mounted devices, etc. At present, some examples of terminal devices are: mobile phones (mobile phones), tablet computers, notebook computers, handheld computers, mobile internet devices (MID), wearable devices, virtual reality (VR) devices, augmented Augmented reality (AR) equipment, wireless terminals in industrial control, wireless terminals in self-driving (self-driving), wireless terminals in remote medical surgery, and smart grid (smart grid) The wireless terminal in the transportation safety (transportation safety), the wireless terminal in the smart city (smart city), or the wireless terminal in the smart home (smart home), etc.

In the following, the concepts involved in the embodiments of the present application will be described.

1. Time-frequency resources

Time-frequency resources can be used for data transmission between network devices and terminal devices, and the time-frequency resources can be expressed in the form of resource grids. The embodiment of the present application does not limit the name of the resource grid. For example, the resource grid may also be called a time-frequency resource block. Referring to FIG. 2, exemplarily, FIG. 2 shows a schematic diagram of a resource grid of an antenna port.

Resource elements (resource elements, RE) can be defined in the resource grid. RE is a basic unit used for data transmission or resource mapping for data to be sent. For example, in FIG. 2, one RE may correspond to one time domain symbol in the time domain, and may correspond to one subcarrier in the frequency domain. Optionally, the time domain symbols may include, but are not limited to, orthogonal frequency division multiplexing (OFDM) symbols or discrete Fourier spread orthogonal frequency division multiplexing (DFT-s-OFDM) symbols. One RE can be used to map one complex symbol, for example, a complex symbol obtained by modulating the data to be sent, or a complex symbol obtained by precoding, which is not limited in the embodiment of the present application.

Optionally, a resource block (resource block, RB) may also be defined in the resource grid. Wherein, one RB may include a positive integer number of subcarriers in the frequency domain, and/or one RB may include a positive integer number of time domain symbols in the time domain. For example, in FIG. 2, 1 RB is a time-frequency resource block including 7 time-domain symbols in the time domain and 12 sub-carriers in the frequency domain. Optionally, a positive integer number of RBs may be included in the resource grid.

Optionally, in the resource grid, slots and subframes can be defined in the time domain. A time slot may include a positive integer number of symbols, for example, 7, 14, 6, or 12 symbols. One subframe may include a positive integer number of time slots. For example, for a communication system that supports multiple sub-carrier intervals, when the sub-carrier interval is 15 kilohertz (kHz), 1 sub-frame may include 1 time slot; when the sub-carrier interval is 30 kHz, 1 sub-frame may include 2 Time slot: When the subcarrier interval is 60kHz, 1 subframe can include 4 time slots.

It should be noted that the specific numbers involved in the above description of RE, RB, time slot, and subframe are only examples, and the size of the time-frequency resource block is not limited.

2. Coherent transmission

Coherent transmission is based on a reference signal for data transmission. The reference signal is used to perform channel estimation on a transmission channel (also referred to as a channel) to obtain channel state information (CSI) of the transmission channel.

Specifically, at the sending end, the sending device performs processes such as encoding, scrambling, and modulation on the data to be sent, and finally maps it to the scheduled time-frequency resource, and sends it to the receiving device through the channel. Among them, reference signals are also mapped on the scheduled time-frequency resources. The sending device and the receiving device can know the reference signal in advance.

At the receiving end, the receiving device can perform channel estimation on the channel to obtain the CSI based on the known transmitted reference signal and the reference signal actually received by the receiving device. Therefore, the receiving device obtains the data sent by the sending device through processes such as signal detection, demodulation, descrambling, and decoding according to the information on the CSI detection channel.

Among them, the embodiment of the present application does not limit the name of the reference signal and the realization of the signal sequence. For example, the reference signal may also be called a pilot signal.

3. Incoherent transmission and incoherent resource blocks

In non-coherent transmission, the receiving device obtains the data sent by the sending device without CSI. In the following, in conjunction with an example of non-coherent transmission, non-coherent transmission and non-coherent resource blocks will be described.

Assume that the data M (or information) to be sent by the sending device includes a bits, and each bit may be a binary number 1 or 0. Therefore, the data M to be sent has 2^a values. The data M to be sent is transmitted on _NS REs, and the _NS REs may be referred to as non-coherent resource blocks. Transmission antennas is N _T, the number of receiving antennas is N _R.

Since the data M to be sent has 2^a values, in non-coherent transmission, the corresponding constellation diagram includes 2^a constellation points, and the value of the data M to be sent corresponds to the constellation points in the constellation diagram one-to-one. Each constellation point corresponds to a _{matrix of N T} *N _S (it can also be a matrix of N _S *N _T. Here, the matrix of N _T *N _S is taken as an example), and the matrix is represented by X. Corresponding to the entire constellation has 2 ^ a matrix X. N _T * N _S of Among them, each matrix X is not completely the same. For example, some elements of two matrices X may be different, or all elements may be different, but at least one element is different. Optionally, the matrix X corresponding to the constellation points may be normalized, that is, Trace(XX ^H )=1. trace() means finding the sum of elements on the diagonal of a two-dimensional square matrix.

Taking N _T =2 and N _S =4 as an example, the matrix X can be expressed as:

Among them, the transmitting device uses a total of 2 antenna ports for transmission, and each antenna port uses a total of 4 REs for transmission. The matrix X can be understood as: the element in the i-th row and the j-th column in the matrix X is mapped on the j-th RE, and is transmitted through the i-th antenna port.

In non-coherent transmission, the data M sent by the sending device is carried by the direction information of the matrix X itself, or can be understood as being carried by the space generated by the row vector of the matrix X. Since the constellation corresponding to 2 ^ a two N _T * N _S matrix X is not identical, and therefore, different from the row vector of matrix X corresponding to constellation points generated space is different, to be transmitted values of 2 ^ a species The space corresponding to the data M is also different. For any two constellation points corresponding to each of the constellation matrix of a matrix X1 and X2, the absence of N _{_T} * N _T matrix H ', so that X1 = H' * X2. This is because: the left multiplication matrix H'is a linear transformation. When there is such a square matrix H', the matrix X2 can be transformed into the matrix X1 through the linear transformation, resulting in the same space generated by the row vectors of the matrix X1 and the matrix X2. Therefore, according to the definition of incoherent transmission codebook, there is no such square matrix H'.

The advantage of carrying data in this way is: assuming that _{the channels on the N S} REs are the same, when the data M to be sent passes through the channel, the received signal can be expressed as Y=H*M+W, where H is the matrix _{of N R} *N _T, Represents CSI, and W is _{a matrix of N R} *N _S , which represents noise. The matrix H multiplied by M is a linear transformation of M. Since the linear transformation of the matrix does not change the space generated by the row vector, the space generated by the row vector of H*M is the same as the space generated by the row vector of X Therefore, the space generated by the row vector of X can be directly obtained without knowing the channel H, thereby obtaining the data M to be sent.

In this way, at the sending end, it is assumed that the value of the data to be sent by the sending device is e. The sending device can determine the matrix X corresponding to the data e to be sent according to the constellation map mapping rule, and send the data through the matrix X. This process can be described as a modulation process.

At the receiving end, the receiving device can be demodulated by a Generalized Likelihood Ratio Test (GLRT) receiver. Of course, it can also be demodulated in other ways, which is not limited in the embodiment of the present application. Take the GLRT receiver as an example here. Receive specific method: the receiving device can obtain all the constellation points corresponding to the constellation matrix X, in accordance with a following formula to obtain the distance d _i between the received signal Y to matrix X _i. Wherein, X _i represents the i-th matrix X, i is greater than 1 and less than or equal to 2 ^ a is an integer. The distance can reflect the size of the gap between the spaces generated by the row vectors of the two matrices. The larger the distance, the larger the space gap; the smaller the distance, the closer the space; when d=0, the space is the same. Optionally, in order to improve the performance of non-coherent transmission, the constellation diagram may be designed to maximize the minimum distance between all constellation points.

_{The receiving device may determine the matrix X i with the} smallest distance among all the distances as the detected transmission signal, and _{determine the information corresponding to the matrix X i} as the signal demodulated by the receiver.

for example. Assume that a=2, N _T =1, N _R =1, and N _S =4. There are 4 values for the data to be sent, namely: 00, 01, 10, and 11. The constellation diagram includes 4 constellation points, corresponding to 4 matrices X, respectively: X1=[1,1,1,1] corresponding information 00, X2=[1,1,-1,-1] corresponding information 01, X3=[1,-1,1,-1] corresponds to information 10, and X4=[1,-1,-1,1] corresponds to information 11. Suppose that the data to be sent by the sending device is 01, and the corresponding matrix is X2=[1,1,-1,-1]. After the data is transmitted through the channel H, the signal received by the receiving device is Y=H*X2+W. Among them, W=[w1,w2,w3,w4], W is a 1*4 vector, and H is a scalar. Then, Y=[H+w1, H+w2, -H+w3, -H+w4]. The receiving device obtains the distance between the signal Y and X1 to X4 according to the above formula 1. Assume that the distance between signals Y and X1 is d1=0.6, the distance between signals Y and X2 is d2=0.1, the distance between signals Y and X3 is d3=0.5, and the distance between signals Y and X4 is d4=0.9. Among them, the distance between the signal Y and X2 is the smallest, and the receiving device can determine the signal corresponding to the matrix X2 sent by the sending device. Therefore, according to the constellation map mapping rule, it can be determined that the data sent by the sending device is 01.

It can be seen that, compared with coherent transmission, non-coherent transmission does not need to transmit reference signals, so the resource utilization rate is higher. Moreover, the constellation points are jointly designed based on non-coherent resource blocks (for example, _NS REs in the above example), so they have better transmission performance.

Currently, the network device may schedule more time-frequency resources to a terminal device for data transmission to improve throughput. Due to delay spread and terminal device movement, the channel changes in both the time dimension and the frequency domain, and the channels on different time domain symbols or different subcarriers are not the same. In non-coherent transmission, in order to ensure transmission performance, the channels on the non-coherent transmission block need to be the same as possible. This leads to a reduction in the performance of incoherent transmission in scenarios where larger time-frequency resources are used to transmit data. At this time, the larger time-frequency resource can be divided into multiple smaller resource blocks, and non-coherent transmission is performed in each smaller resource block. However, the smaller the divided resource blocks and the larger the number of resource blocks, the smaller the incoherent gain will be, which brings about the loss of incoherent gain.

In view of the foregoing technical problems, embodiments of the present application provide a data transmission method, which is applied to communication between a sending device and a receiving device. Based on non-coherent transmission, the signal carried on a certain resource position in each non-coherent resource block is adjusted to a pilot signal. By combining non-coherent transmission and coherent transmission, without increasing the spectrum overhead, By introducing the pilot signal, the incoherent gain is improved, and the data transmission effect is improved.

The technical solution of the present application and how the technical solution of the present application solves the above technical problems will be described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

It should be noted that in the embodiments of the present application, at least one can also be described as one or more, and the multiple can be two, three, four or more, and the embodiments of the present application do not limit it.

It should be noted that in the embodiments of the present application, the communication between the sending device and the receiving device may include, but is not limited to, the following scenarios: communication between a network device and a terminal device, communication between a network device and a network device, and a terminal device Communication with terminal equipment. Among them, the term "communication" can also be described as "wireless communication", "data transmission", "information transmission" or "transmission". Optionally, the sending device and the receiving device may be a scheduling entity and a subordinate entity, for example, a network device and a terminal device, a macro base station and a micro base station, and so on. Optionally, the sending device and the receiving device may be peer entities, for example, a terminal device and a terminal device. The embodiment of this application does not limit the type of the device.

Fig. 3 is a message interaction diagram of the data transmission method provided by an embodiment of the application. The execution subject involved in this embodiment includes a sending device and a receiving device. The sending device and the receiving device may also be referred to as communication devices or devices. As shown in Figure 3, the data transmission method provided in this embodiment may include:

S301. The sending device divides the time-frequency resource corresponding to the data to be transmitted into multiple incoherent resource blocks, and each incoherent resource block corresponds to a codeword modulated by the data to be transmitted.

Refer to Fig. 2 and Fig. 4 for example. In FIG. 2, it is assumed that 1 RB includes 2 time domain symbols in the time domain and 12 subcarriers in the frequency domain, including 24 REs. In FIG. 4, the time-frequency resource corresponding to the data to be transmitted includes 16 RBs, which are respectively marked as RB1 to RB16. The sending device may divide 16 RBs into 4 non-coherent resource blocks, and each non-coherent resource block includes 4 RBs and 96 REs. For example, non-coherent resource block 1 includes RB1 to RB4, non-coherent resource block 2 includes RB5 to RB8, non-coherent resource block 3 includes RB9 to RB12, and non-coherent resource block 4 includes RB13 to RB16.

It should be noted that this embodiment does not limit the number of incoherent resource blocks and the time-frequency domain size of each incoherent resource block. Optionally, the time-frequency domain sizes of multiple incoherent resource blocks are the same. Optionally, the time-frequency domain sizes of multiple incoherent resource blocks may also be different. Optionally, in order to ensure the incoherent gain of incoherent resource blocks, the number of incoherent resource blocks may not exceed a preset upper limit, which is not limited in this embodiment.

By dividing the time-frequency resources corresponding to the data to be transmitted into multiple non-coherent resource blocks, the channels corresponding to the resources in each non-coherent resource block are approximately the same, thereby ensuring the performance of non-coherent transmission.

Optionally, in S301, dividing the time-frequency resource corresponding to the data to be transmitted into multiple non-coherent resource blocks may include:

Obtain the channel coherence granularity, which is used to indicate the maximum time-frequency domain size occupied by incoherent resource blocks determined according to the channel coherence time and the channel coherence bandwidth.

The time-frequency resource is divided into multiple non-coherent resource blocks according to the channel coherence granularity.

Specifically, the channel coherence time in the time domain indicates the maximum time domain size when the channels corresponding to the resources in the time-frequency resource block are approximately the same, and the channel coherence bandwidth indicates in the frequency domain that the channel corresponding to the resources in the time-frequency resource block is approximately the same. The maximum frequency domain size at the same time. The above example is also used as an example for description. Assuming that the channel coherence time is greater than 2 time-domain symbols, and the channel coherence bandwidth is greater than 48 subcarriers, then the channels corresponding to incoherent resource blocks 1 to 4 are approximately the same. It can be seen that the channel coherence time and channel coherence bandwidth can indicate the maximum time-frequency domain size occupied by non-coherent resource blocks. Dividing non-coherent resource blocks through channel coherence granularity reduces the number of non-coherent resource blocks and ensures non-coherent gain.

Optionally, in an implementation manner, acquiring the channel coherence granularity may include:

Receive the channel coherence time and channel coherence bandwidth sent by the receiving device.

The channel coherence granularity is obtained according to the channel coherence time and the channel coherence bandwidth.

Specifically, the receiving device can measure the forward channel multipath delay spread to determine the channel coherence bandwidth, determine the channel coherence time by the moving speed of the receiving device, and send the channel coherence time and the channel coherence bandwidth to the sending device. Correspondingly, the sending device obtains the channel coherence time and the channel coherence bandwidth from the receiving device, thereby determining the channel coherence granularity.

Optionally, in another implementation manner, acquiring the channel coherence granularity may include:

The channel coherence time and channel coherence bandwidth are obtained by estimating the channel.

Specifically, the sending device may obtain the channel coherence time and the channel coherence bandwidth through methods such as channel statistical reciprocity, so as to determine the channel coherence granularity.

Optionally, dividing the time-frequency resource into multiple non-coherent resource blocks according to the channel coherence granularity may include:

Obtain the correction coefficient, the correction coefficient is greater than 0 and less than or equal to 1.

According to the correction coefficient and the channel coherence granularity, the time-frequency resource is divided into N first non-coherent resource blocks with the same size and one second non-coherent resource block. N is a positive integer, and the time-frequency domain size occupied by the first incoherent resource block is greater than or equal to the time-frequency domain size occupied by the second incoherent resource block.

Specifically, the time-frequency resource corresponding to the data to be transmitted can be expressed as N _F , the first non-coherent resource block can be expressed as N _S , and the second non-coherent resource block can be expressed as

The size of the second incoherent resource block is

The maximum time-frequency domain size occupied by incoherent resource blocks determined by the channel coherence granularity can be expressed as N _S , and the correction coefficient is expressed as α. According to the correction coefficient α and the channel coherence granularity, the size of the non-coherent resource block N′ _C can be determined by formula 2. The non-coherent resource block N′ _C may be the first non-coherent resource block or the second non-coherent resource block.

N _{_'C} = αN _C formula 2

Among them, the larger the correction coefficient α, the larger the time-frequency domain size of the incoherent resource block, which is more conducive to the resolution and detection between constellation points in incoherent transmission, and improves the performance of incoherent transmission. However, as the correction coefficient α increases, the size of the incoherent resource block is closer to the maximum time-frequency domain size that can be determined by the channel coherence granularity, which may result in a decrease in incoherent gain. In practical applications, this embodiment does not limit the specific value of the correction coefficient α, and it can be set according to the communication environment.

It should be noted that this embodiment does not limit the sizes of the first incoherent resource block and the second incoherent resource block, and can be set according to different application scenarios.

Optionally, in an implementation manner, the first non-coherent resource block N _S may be equal to N _S , and the number N of the first non-coherent resource block may be obtained by formula 3. ceil(K) means rounding up x. This implementation can be applied to scenarios where channel coding is used.

Optionally, in another implementation manner, the difference between the time-frequency domain size occupied by the first incoherent resource block and the time-frequency domain size occupied by the second incoherent resource block is less than a preset threshold.

This implementation can be applied to scenarios where channel coding is not used. Without channel coding, the performance of non-coherent transmission is usually limited by non-coherent resource blocks with the smallest time-frequency domain size. Therefore, by reducing the difference between the first incoherent resource block and the second incoherent resource block, the performance of incoherent transmission can be improved. Of course, this implementation can also be applied to scenarios where channel coding is used.

It should be noted that this embodiment does not limit the value of the preset threshold.

S302. The sending device precodes the codeword corresponding to each incoherent resource block to generate a data frame.

Wherein, the signal carried on the preset resource position of each non-coherent resource block in the data frame is a preset pilot signal, and the preset pilot signal is used by the receiving device to perform channel estimation.

It should be noted that this embodiment does not limit the preset resource location of each incoherent resource block, and the preset resource locations of different incoherent resource blocks may be the same or different. This embodiment does not limit the preset pilot signal carried by the preset resource position of each non-coherent resource block, and the preset pilot signals carried by the preset resource positions of different non-coherent resource blocks may be the same or different.

By adjusting the signal carried on a certain resource position in each non-coherent resource block into a pilot signal, the pilot signal is introduced without increasing the spectrum overhead, which combines the advantages of non-coherent transmission and coherent transmission, and improves The incoherent gain of the incoherent resource block improves the data transmission effect.

S303. The sending device sends the data frame and demodulation parameters to the receiving device.

Among them, the demodulation parameter is used for the receiving device to demodulate the signal carried by the data frame.

Correspondingly, the receiving device receives the data frame and demodulation parameters sent by the sending device. The data frame includes a plurality of incoherent resource blocks, the signal carried on the preset resource position of each incoherent resource block in the data frame is a preset pilot signal, and the preset pilot signal is used for channel estimation. The demodulation parameter is used to demodulate the signal carried by the data frame.

Optionally, the demodulation parameters may include at least one of the following: the total number of incoherent resource blocks, a set of pre-allocated codewords, the codeword corresponding to each incoherent resource block, and the preset resource location of each incoherent resource block And the preset pilot signal carried by the preset resource location, and the time-frequency domain size occupied by each non-coherent resource block.

S304. The receiving device performs channel estimation according to the preset pilot signal carried by each non-coherent resource block, and obtains channel state information corresponding to each non-coherent resource block.

Optionally, in an implementation manner, the receiving device may separately perform channel estimation for each incoherent resource block, perform channel estimation according to a preset pilot signal carried by each incoherent resource block, and obtain each incoherent resource. Channel state information corresponding to the block.

Optionally, in another implementation manner, the receiving device may perform joint channel estimation on at least two non-coherent resource blocks, perform channel estimation according to a preset pilot signal carried by each non-coherent resource block, and obtain each non-coherent resource block. Channel state information corresponding to the coherent resource block.

It should be noted that this embodiment does not limit the channel estimation method, and the existing method of channel estimation based on the pilot signal can be used. For example, linear minimum mean square error estimation (LMMSE) is performed based on the pilot signals of multiple incoherent resource blocks.

S305. The receiving device demodulates the signal carried by the data frame according to the channel state information and demodulation parameters corresponding to each incoherent resource block to obtain demodulated data.

It can be seen that in the data transmission method provided in this embodiment, the sending device divides the time-frequency resource corresponding to the data to be transmitted into multiple non-coherent resource blocks, and the channels corresponding to the resources in each non-coherent resource block are approximately the same. The sending device adjusts the signal carried on a certain resource position in each non-coherent resource block into a pilot signal. Correspondingly, the receiving device can perform channel estimation and obtain channel state information through the pilot signal in the non-coherent resource block, so as to demodulate the data in combination with the channel state information on the basis of non-coherent transmission to obtain the data sent by the transmitting device. By combining incoherent transmission with coherent transmission, without reducing the size of incoherent resource blocks and without increasing spectrum overhead, the introduction of pilot signals improves the demodulation and detection performance of incoherent signals, and improves data The transmission effect is beneficial to the applicability of incoherent transmission technology in wireless scenarios such as large bandwidth, frequency selection, and high mobility.

Optionally, in S303, the sending device sends demodulation parameters to the receiving device, which may include:

Send demodulation parameters to the receiving device through signaling.

Correspondingly, the receiving device can receive the demodulation parameters sent by the sending device through signaling.

The demodulation parameters are transmitted through signaling to ensure the data transmission throughput rate.

FIG. 5 is a flowchart of a data transmission method provided by an embodiment of the application. The execution subject of this embodiment is the sending device, and the implementation of S302 in FIG. 3 is provided. As shown in Figure 5, precoding the codeword corresponding to each incoherent resource block to generate a data frame includes:

S501. For each non-coherent resource block, obtain a precoding coefficient and a signal component carried by a codeword corresponding to the non-coherent resource block at each resource position in the non-coherent resource block.

Wherein, the precoding coefficient is used to transform the signal component carried on the preset resource position of the non-coherent resource block into the preset pilot signal by the codeword corresponding to the non-coherent resource block.

S502: Perform linear transformation on the signal component carried on each resource position in the non-coherent resource block by the codeword corresponding to the non-coherent resource block according to the precoding coefficient to generate a data frame.

In the following, a single-antenna system (single input, single output, SISO) is taken as an example for exemplification. The data transmission method provided in this embodiment can also be applied to a multi-antenna system (multiple input single output, MIMO), and the principle is similar.

Suppose that the preset resource position of the nth non-coherent resource block is expressed as m _n,p , and the pilot signal carried by the RE position m _n,p _{is expressed as p n} . Optionally, the pilot signal p _n modulus value is normalized. The linear transformation can be realized by formula four.

Wherein, x _n represents the pre-coded signal of the nth non-coherent resource block. a _n represents the precoding coefficient.

Indicates the signal before the nth incoherent resource block is not pre-coded, corresponding to

A column vector in.

Means N _S

The non-coherent constellation set composed of dimensional column vectors can also be called a codeword set or a codebook set. N _B represents the number of information bits carried noncoherent resource blocks.

Indicates the signal component carried by the _{RE position m n,p} before the nth incoherent resource block is not pre-coded. ||x|| represents the modulus of the complex number x.

Since linear complex multiplication of a scalar (precoding coefficient) does not reduce the distance performance between non-coherent modulation constellation points, such as chordal distance, the transmitting device can pre-code non-coherent resource blocks to realize non-coherent resource blocks. The signal carried on the preset resource position in the middle is adjusted to the pilot signal, while ensuring the incoherent gain of the incoherent modulation.

Fig. 6 is another flowchart of a data transmission method provided by an embodiment of the application. The execution subject of this embodiment is the receiving device, and the implementation manner of S305 in FIG. 3 is provided. As shown in Figure 6, demodulating the signal carried by the data frame according to the channel state information and demodulation parameters corresponding to each incoherent resource block to obtain demodulated data may include:

S601. For each incoherent resource block, obtain a candidate target signal set according to the pre-allocated codeword set, the codeword corresponding to the incoherent resource block, and the channel state information.

S602: Perform maximum likelihood estimation according to the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain demodulation data.

In the following, the SISO system is taken as an example to illustrate. In this example, the coherent maximum likelihood estimation of the incoherent transmission signal based on the CSI information can be applied to scenarios with high channel estimation accuracy, such as high signal-to-noise ratio working scenarios.

First, according to formula 5, the incoherent modulation constellation (weighted by the pilot signal) of each incoherent resource block is compared with

Perform vector cross product as the candidate target signal after channel transmission.

among them,

Represents a vector composed of channel coefficient estimates corresponding to each RE of the nth incoherent resource block.

Then, the likelihood value of each candidate target signal and the received signal or a metric value equivalent or simplified to the likelihood value is estimated. Optionally, the equivalent metric value of an example may be the inverse Euclidean distance between the target signal and the received signal, see Formula 6.

Wherein, y _n represents the received signal vector of the n-th resource block corresponds to non-coherent.

Finally, the non-coherent modulation constellation corresponding to the largest metric value is used as the decision value, see Equation 7.

Optionally, the data transmission method provided in this embodiment may further include:

Obtain the statistical covariance of the channel estimation error.

Correspondingly, in S602, performing maximum likelihood estimation according to the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain demodulation data may include:

Perform maximum likelihood estimation according to the statistical covariance of the channel estimation error, the candidate target signal set corresponding to the incoherent resource block, and the received signal corresponding to the incoherent resource block to obtain demodulated data.

In the following, the SISO system is taken as an example to illustrate. In this example, based on the CSI information (channel coefficient estimation vector) and the statistical covariance of the channel estimation error (also known as the channel estimation error covariance), the non-coherent transmission signal is subjected to the conditional statistical information-assisted general likelihood ratio test The (generalized likelihood ratio test, GLRT) estimation can be applied to scenarios with limited channel estimation accuracy, for example, low signal-to-noise ratio working scenarios.

First, according to Formula 8, the conditional mean component of the received signal is obtained using CSI information. Optionally, an example method is to perform vector cross product of the incoherent modulation constellation and the channel estimate.

Among them, μ _yx represents the average value of the received signal condition when the incoherent modulation constellation is x, and p represents the pilot signal corresponding to the incoherent resource block. For convenience, the subscript n of the incoherent resource block is omitted here. Optionally, formula 9 can also be applied to a scenario where multiple incoherent resource blocks are jointly detected.

Then, the obtained mean value component is eliminated from the received signal by linear subtraction. See formula nine.

Then, for the received signal after the mean component is eliminated (each incoherent modulation constellation is different), the channel estimation error covariance is used to obtain the received signal conditional probability corresponding to each incoherent modulation constellation, or it is equivalent to the received signal conditional probability or Simplified measure. Optionally, an example equivalent metric value may be the received signal after the incoherent modulation constellation and the mean component are eliminated, and the inverse Euclidean distance of the received signal. See formula ten.

among them,

Represents the N _S -dimensional channel estimation error covariance matrix. Optionally, Formula 10 can also be applied to scenarios where multiple incoherent resource blocks are jointly detected to further improve performance. In this case,

Corresponding to the N _S N-dimensional channel estimation error covariance matrix.

Finally, the incoherent modulation constellation corresponding to the largest metric value is used as the decision value, which can be referred to the above formula 7.

FIG. 7 is a schematic structural diagram of a sending device provided by an embodiment of the application. The sending device provided in this embodiment can perform operations performed by the sending device in the method embodiments of this application. As shown in Figure 7, the sending device provided in this embodiment may include:

The allocation module 71 is configured to divide the time-frequency resource corresponding to the data to be transmitted into multiple non-coherent resource blocks, and each non-coherent resource block corresponds to a codeword modulated by the data to be transmitted;

The precoding module 72 is configured to precode the codeword corresponding to each non-coherent resource block to generate a data frame; the signal carried on the preset resource position of each non-coherent resource block in the data frame is the preset guide Frequency signal, the preset pilot signal is used by the receiving device to perform channel estimation;

The sending module 73 is configured to send the data frame and demodulation parameters to the receiving device; the demodulation parameters are used by the receiving device to demodulate the signal carried by the data frame.

Optionally, the precoding module 72 is specifically configured to:

For each non-coherent resource block, obtain the precoding coefficient and the signal component carried by the codeword corresponding to the non-coherent resource block at each resource position in the non-coherent resource block; the precoding coefficient is used to make the non-coherent resource block The signal component carried by the codeword corresponding to the resource block at the preset resource location of the non-coherent resource block is transformed into the preset pilot signal;

Perform linear transformation on signal components carried on each resource position in the non-coherent resource block of the codeword corresponding to the non-coherent resource block according to the precoding coefficient to generate the data frame.

Optionally, the allocation module 71 is specifically configured to:

Acquiring a channel coherence granularity, where the channel coherence granularity is used to indicate a maximum time-frequency domain size occupied by an incoherent resource block determined according to a channel coherence time and a channel coherence bandwidth;

The time-frequency resource is divided into the multiple non-coherent resource blocks according to the channel coherence granularity.

Optionally, the allocation module 71 is specifically configured to:

Obtaining a correction coefficient, where the correction coefficient is greater than 0 and less than or equal to 1;

According to the correction coefficient and the channel coherence granularity, the time-frequency resource is divided into N first non-coherent resource blocks of the same size and one second non-coherent resource block; N is a positive integer, the first The time-frequency domain size occupied by the non-coherent resource block is greater than or equal to the time-frequency domain size occupied by the second non-coherent resource block.

Optionally, the difference between the time-frequency domain size occupied by the first incoherent resource block and the time-frequency domain size occupied by the second incoherent resource block is less than a preset threshold.

Optionally, the allocation module 71 is specifically configured to:

Receiving, by a receiving module, the channel coherence time and the channel coherence bandwidth sent by the receiving device;

Acquiring the channel coherence granularity according to the channel coherence time and the channel coherence bandwidth;

or,

Obtaining the channel coherence time and the channel coherence bandwidth by estimating the channel;

Acquire the channel coherence granularity according to the channel coherence time and the channel coherence bandwidth.

Optionally, the demodulation parameter includes at least one of the following: the total number of incoherent resource blocks, a set of pre-allocated codewords, the codeword corresponding to each incoherent resource block, and the preset resources of each incoherent resource block The location and the preset pilot signal carried by the preset resource location, and the time-frequency domain size occupied by each non-coherent resource block.

Optionally, the sending module 73 is specifically configured to:

Sending the demodulation parameter to the receiving device through signaling.

The sending device provided in this embodiment can perform operations performed by the sending device in the method embodiments of the present application. The technical principles and technical effects are similar, and will not be repeated here.

FIG. 8 is a schematic structural diagram of a receiving device provided by an embodiment of this application. The receiving device provided in this embodiment can perform operations performed by the receiving device in the method embodiments of this application. As shown in Figure 8, the receiving device provided in this embodiment may include:

The receiving module 81 is configured to receive a data frame and demodulation parameters sent by a sending device; the data frame includes a plurality of incoherent resource blocks, and the signal carried on a preset resource position of each incoherent resource block in the data frame Is a preset pilot signal, the preset pilot signal is used for channel estimation; the demodulation parameter is used for demodulating the signal carried by the data frame;

The channel estimation module 82 is configured to perform channel estimation according to the preset pilot signal carried by each non-coherent resource block, and obtain channel state information corresponding to each non-coherent resource block;

The demodulation module 83 is configured to demodulate the signal carried by the data frame according to the channel state information corresponding to each incoherent resource block and the demodulation parameter to obtain demodulated data.

Optionally, the demodulation module 83 is specifically configured to:

For each incoherent resource block, obtain a candidate target signal set according to the pre-allocated codeword set, the codeword corresponding to the incoherent resource block, and channel state information;

Perform maximum likelihood estimation according to the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain the demodulated data.

Optionally, the demodulation module 83 is further configured to:

Obtain the statistical covariance of the channel estimation error;

The demodulation module 83 is specifically configured to:

Perform maximum likelihood estimation according to the statistical covariance of the channel estimation error, the candidate target signal set corresponding to the incoherent resource block, and the received signal corresponding to the incoherent resource block to obtain the demodulation data.

Optionally, the receiving module 81 is specifically configured to:

Receiving the demodulation parameter sent by the sending device through signaling.

The receiving device provided in this embodiment can perform operations performed by the receiving device in the method embodiments of the present application. The technical principles and technical effects are similar, and will not be repeated here.

It should be understood that the division of modules in the above device is only a division of logical functions, and may be fully or partially integrated into one physical entity in actual implementation, or may be physically separated. In addition, the modules in the device can be all implemented in the form of software called by processing elements, or all can be implemented in the form of hardware, part of the modules can also be implemented in the form of software called by the processing elements, and some of the modules can be implemented in the form of hardware. For example, each module can be a separately established processing element, or it can be integrated in a certain chip of the device for implementation. In addition, it can also be stored in the memory in the form of a program, which is called and executed by a certain processing element of the device. Features. In addition, all or part of these modules can be integrated together or implemented independently. The processing element described here can also become a processor, which can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each of the above modules may be implemented by an integrated logic circuit of hardware in a processor element or implemented in a form of being called by software through a processing element.

FIG. 9 is a schematic structural diagram of a device provided by an embodiment of the application. As shown in Figure 9, the device provided in this embodiment may include a processor 91, a memory 92, and a transceiver 93. The transceiver 93 is used to receive data or send data, and the memory 92 is used to store instructions. The processor 91 is configured to execute instructions stored in the memory 92, and is configured to execute operations performed by the sending device or the receiving device in each method embodiment of the present application. The technical principles and technical effects are similar, and will not be repeated here.

It should be understood that the processor may be a general-purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, and can implement or execute the implementation of this application. The methods, steps and logic block diagrams disclosed in the examples. The general-purpose processor may be a microprocessor or any conventional processor or the like. The steps of the method disclosed in the embodiments of the present application can be directly embodied as executed and completed by a hardware processor, or executed and completed by a combination of hardware and software modules in the processor.

In the embodiment of the present application, the memory may be a non-volatile memory, such as a hard disk drive (HDD) or a solid-state drive (SSD), etc., or a volatile memory (volatile memory), for example Random access memory (random access memory, RAM). The memory is any medium that can be used to carry or store desired program codes in the form of instructions or data structures and that can be accessed by a computer, but is not limited to this. The memory in the embodiments of the present application may also be a circuit or any other device capable of realizing a storage function for storing program instructions and/or data.

Claims

A data transmission method, characterized in that it comprises:

Dividing the time-frequency resource corresponding to the data to be transmitted into a plurality of non-coherent resource blocks, and each non-coherent resource block corresponds to a codeword modulated by the data to be transmitted;

The codeword corresponding to each non-coherent resource block is pre-coded to generate a data frame; the signal carried on the preset resource position of each non-coherent resource block in the data frame is a preset pilot signal, and the preset The pilot signal is used by the receiving device for channel estimation;

The data frame and demodulation parameters are sent to the receiving device; the demodulation parameters are used by the receiving device to demodulate the signal carried by the data frame.
The method according to claim 1, wherein the precoding a codeword corresponding to each incoherent resource block to generate a data frame comprises:

For each non-coherent resource block, obtain the precoding coefficient and the signal component carried by the codeword corresponding to the non-coherent resource block at each resource position in the non-coherent resource block; the precoding coefficient is used to make the non-coherent resource block The signal component carried by the codeword corresponding to the resource block at the preset resource location of the non-coherent resource block is transformed into the preset pilot signal;

Perform linear transformation on signal components carried on each resource position in the non-coherent resource block of the codeword corresponding to the non-coherent resource block according to the precoding coefficient to generate the data frame.
The method according to claim 1, wherein the dividing the time-frequency resource corresponding to the data to be transmitted into a plurality of non-coherent resource blocks comprises:

Acquiring a channel coherence granularity, where the channel coherence granularity is used to indicate a maximum time-frequency domain size occupied by an incoherent resource block determined according to a channel coherence time and a channel coherence bandwidth;

The time-frequency resource is divided into the multiple non-coherent resource blocks according to the channel coherence granularity.
The method according to claim 3, wherein the dividing the time-frequency resource into the multiple non-coherent resource blocks according to the channel coherence granularity comprises:

Obtaining a correction coefficient, where the correction coefficient is greater than 0 and less than or equal to 1;

According to the correction coefficient and the channel coherence granularity, the time-frequency resource is divided into N first non-coherent resource blocks of the same size and one second non-coherent resource block; N is a positive integer, the first The time-frequency domain size occupied by the non-coherent resource block is greater than or equal to the time-frequency domain size occupied by the second non-coherent resource block.
The method according to claim 4, wherein the difference between the time-frequency domain size occupied by the first incoherent resource block and the time-frequency domain size occupied by the second incoherent resource block is less than a preset threshold.
The method according to claim 3, wherein said acquiring the channel coherence granularity comprises:

Receiving the channel coherence time and the channel coherence bandwidth sent by the receiving device;

Acquiring the channel coherence granularity according to the channel coherence time and the channel coherence bandwidth;

or,

Obtaining the channel coherence time and the channel coherence bandwidth by estimating the channel;

Acquire the channel coherence granularity according to the channel coherence time and the channel coherence bandwidth.
The method according to any one of claims 1 to 6, wherein the demodulation parameters include at least one of the following: the total number of non-coherent resource blocks, a set of pre-allocated codewords, and each non-coherent resource block corresponds to The codeword of each incoherent resource block, the preset resource location of each incoherent resource block and the preset pilot signal carried by the preset resource location, and the time-frequency domain size occupied by each incoherent resource block.
The method according to any one of claims 1 to 6, wherein sending demodulation parameters to the receiving device comprises:

Sending the demodulation parameter to the receiving device through signaling.
A data transmission method, characterized in that it comprises:

Receive a data frame and demodulation parameters sent by a sending device; the data frame includes a plurality of incoherent resource blocks, and the signal carried on the preset resource position of each incoherent resource block in the data frame is a preset pilot signal , The preset pilot signal is used for channel estimation; the demodulation parameter is used for demodulating the signal carried by the data frame;

Perform channel estimation according to the preset pilot signal carried by each non-coherent resource block, and obtain channel state information corresponding to each non-coherent resource block;

Demodulate the signal carried by the data frame according to the channel state information corresponding to each incoherent resource block and the demodulation parameter to obtain demodulated data.
The method according to claim 9, wherein the demodulation parameters comprise at least one of the following: the total number of non-coherent resource blocks, a set of pre-allocated codewords, the codeword corresponding to each non-coherent resource block, each The preset resource location of each non-coherent resource block, the preset pilot signal carried by the preset resource location, and the time-frequency domain size occupied by each non-coherent resource block.
The method according to claim 10, wherein the demodulating the signal carried by the data frame according to the channel state information corresponding to each incoherent resource block and the demodulation parameter to obtain demodulated data, include:

For each incoherent resource block, obtain a candidate target signal set according to the pre-allocated codeword set, the codeword corresponding to the incoherent resource block, and channel state information;

Perform maximum likelihood estimation according to the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain the demodulated data.
The method according to claim 11, further comprising:

Obtain the statistical covariance of the channel estimation error;

The performing maximum likelihood estimation according to the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain the demodulation data includes:

Perform maximum likelihood estimation according to the statistical covariance of the channel estimation error, the candidate target signal set corresponding to the incoherent resource block, and the received signal corresponding to the incoherent resource block to obtain the demodulation data.
The method according to any one of claims 9 to 12, wherein receiving the demodulation parameter sent by the sending device comprises:

Receiving the demodulation parameter sent by the sending device through signaling.
A sending device, characterized in that it comprises:

An allocation module, configured to divide the time-frequency resource corresponding to the data to be transmitted into a plurality of non-coherent resource blocks, and each non-coherent resource block corresponds to a codeword modulated by the data to be transmitted;

The precoding module is used to precode the codeword corresponding to each non-coherent resource block to generate a data frame; the signal carried on the preset resource position of each non-coherent resource block in the data frame is a preset pilot Signal, the preset pilot signal is used by the receiving device to perform channel estimation;

The sending module is configured to send the data frame and demodulation parameters to the receiving device; the demodulation parameters are used by the receiving device to demodulate the signal carried by the data frame.
The sending device according to claim 14, wherein the precoding module is specifically configured to:

For each non-coherent resource block, obtain the precoding coefficient and the signal component carried by the codeword corresponding to the non-coherent resource block at each resource position in the non-coherent resource block; the precoding coefficient is used to make the non-coherent resource block The signal component carried by the codeword corresponding to the resource block at the preset resource position of the non-coherent resource block is transformed into the preset pilot signal;

Perform linear transformation on signal components carried on each resource position in the non-coherent resource block of the codeword corresponding to the non-coherent resource block according to the precoding coefficient to generate the data frame.
The sending device according to claim 14, wherein the allocation module is specifically configured to:

Acquiring a channel coherence granularity, where the channel coherence granularity is used to indicate a maximum time-frequency domain size occupied by an incoherent resource block determined according to a channel coherence time and a channel coherence bandwidth;

The time-frequency resource is divided into the multiple non-coherent resource blocks according to the channel coherence granularity.
The sending device according to claim 16, wherein the allocation module is specifically configured to:

Obtaining a correction coefficient, where the correction coefficient is greater than 0 and less than or equal to 1;

According to the correction coefficient and the channel coherence granularity, the time-frequency resource is divided into N first non-coherent resource blocks of the same size and one second non-coherent resource block; N is a positive integer, the first The time-frequency domain size occupied by the non-coherent resource block is greater than or equal to the time-frequency domain size occupied by the second non-coherent resource block.
The sending device according to claim 17, wherein the difference between the time-frequency domain size occupied by the first incoherent resource block and the time-frequency domain size occupied by the second incoherent resource block is less than a preset threshold .
The sending device according to claim 16, wherein the allocation module is specifically configured to:

Receiving, by a receiving module, the channel coherence time and the channel coherence bandwidth sent by the receiving device;

Acquiring the channel coherence granularity according to the channel coherence time and the channel coherence bandwidth;

or,

Obtaining the channel coherence time and the channel coherence bandwidth by estimating the channel;

Acquire the channel coherence granularity according to the channel coherence time and the channel coherence bandwidth.
The sending device according to any one of claims 14 to 19, wherein the demodulation parameter comprises at least one of the following: the total number of non-coherent resource blocks, a set of pre-allocated codewords, and each non-coherent resource block The corresponding codeword, the preset resource location of each non-coherent resource block and the preset pilot signal carried by the preset resource location, and the time-frequency domain size occupied by each non-coherent resource block.
The sending device according to any one of claims 14 to 19, wherein the sending module is specifically configured to:

Sending the demodulation parameter to the receiving device through signaling.
A receiving device, characterized in that it comprises:

The receiving module is configured to receive a data frame and demodulation parameters sent by a sending device; the data frame includes a plurality of incoherent resource blocks, and the signal carried on the preset resource position of each incoherent resource block in the data frame is A preset pilot signal, the preset pilot signal is used for channel estimation; the demodulation parameter is used for demodulating the signal carried by the data frame;

A channel estimation module, configured to perform channel estimation according to a preset pilot signal carried by each non-coherent resource block, and obtain channel state information corresponding to each non-coherent resource block;

The demodulation module is configured to demodulate the signal carried by the data frame according to the channel state information corresponding to each incoherent resource block and the demodulation parameter to obtain demodulated data.
The receiving device according to claim 22, wherein the demodulation parameter comprises at least one of the following: the total number of incoherent resource blocks, a set of pre-allocated codewords, and the codeword corresponding to each incoherent resource block, The preset resource location of each non-coherent resource block, the preset pilot signal carried by the preset resource location, and the time-frequency domain size occupied by each non-coherent resource block.
The receiving device according to claim 23, wherein the demodulation module is specifically configured to:

For each incoherent resource block, obtain a candidate target signal set according to the pre-allocated codeword set, the codeword corresponding to the incoherent resource block, and channel state information;

Perform maximum likelihood estimation according to the candidate target signal set corresponding to the incoherent resource block and the received signal corresponding to the incoherent resource block to obtain the demodulated data.
The receiving device according to claim 24, wherein the demodulation module is further configured to:

Obtain the statistical covariance of the channel estimation error;

The demodulation module is specifically used for:

Perform maximum likelihood estimation according to the statistical covariance of the channel estimation error, the candidate target signal set corresponding to the incoherent resource block, and the received signal corresponding to the incoherent resource block to obtain the demodulation data.
The receiving device according to any one of claims 22 to 25, wherein the receiving module is specifically configured to:

Receiving the demodulation parameter sent by the sending device through signaling.
A device, characterized by comprising a processor and a memory, and the processor is used to call a program stored in the memory to execute the data transmission method according to any one of claims 1 to 13.
A computer-readable storage medium, characterized in that instructions are stored in the computer-readable storage medium, and when the instructions are run on a computer or a processor, the instructions described in any one of claims 1 to 13 are implemented. Data transmission method.
A program product, characterized in that the program product includes a computer program, the computer program is stored in a readable storage medium, and at least one processor of a communication device can read the computer program from the readable storage medium The execution of the computer program by the at least one processor causes the communication device to implement the method according to any one of claims 1-13.