WO2022242573A1

WO2022242573A1 - Data transmission method and apparatus, communication device, and storage medium

Info

Publication number: WO2022242573A1
Application number: PCT/CN2022/092782
Authority: WO
Inventors: 袁璞; 刘昊; 姜大洁; 秦飞
Original assignee: 维沃移动通信有限公司
Priority date: 2021-05-18
Filing date: 2022-05-13
Publication date: 2022-11-24
Also published as: CN115378769A

Abstract

The present application belongs to the technical field of communications. Disclosed are a data transmission method and apparatus, a communication device, and a storage medium. The data transmission method in the embodiments of the present application comprises: a first communication device receiving a first signal; and the first communication device processing the first signal on the basis of an equalization matrix, so as to obtain a target signal, wherein the equalization matrix is determined on the basis of an equivalent channel matrix.

Description

Data transmission method, device, communication device and storage medium

Cross References to Related Applications

This application claims the priority of the Chinese patent application with the application number 2021105414003 filed on May 18, 2021, and the title of the invention is "data transmission method, device, communication equipment and storage medium", which is fully incorporated by reference into this application .

technical field

The present application belongs to the technical field of communication, and in particular relates to a data transmission method, device, communication equipment and storage medium.

Background technique

In the Faster-than-Nyquist (FTN) system, the interval of each symbol in the transmitter is much smaller than the minimum interval of Nyquist transmission, thus causing adjacent data to overlap each other, that is, the code Inter-Symbol Interference (ISI); As a result, the receiver in the FTN system must use a whitening filter and a maximum likelihood sequence detection (Maximum likelihood sequence estimation, MLSE) algorithm to eliminate this ISI.

Although MLSE is the theoretically optimal receiver algorithm, its complexity has an exponential growth relationship with the modulation order and the number of overlapping layers; that is, the algorithm complexity of the receiver is high, and hardware design is difficult to implement, especially for cost and power consumption. Terminal equipment with more stringent requirements affects the engineering application of FTN technology.

Contents of the invention

Embodiments of the present application provide a data transmission method, device, communication device, and storage medium, which can solve the problem of an overly complex receiver algorithm in an FTN system.

In a first aspect, a data transmission method is provided, the method comprising:

the first communication device receives the first signal;

The first communication device processes the first signal based on an equalization matrix to obtain a target signal;

Wherein, the equalization matrix is determined based on an equivalent channel matrix.

In a second aspect, a data transmission method is provided, the method comprising:

The second communication device precodes the first modulation symbol based on the precoding matrix to obtain symbols to be transmitted;

The second communication device performs super-Nyquist FTN mapping on symbols to be transmitted to obtain a second signal;

the second communication device transmits the second signal;

Wherein, the precoding matrix is determined based on an equivalent channel matrix.

In a third aspect, a data transmission device is provided, which includes:

a first receiving module, configured to receive a first signal;

A first processing module, configured to process the first signal based on an equalization matrix to obtain a target signal;

In a fourth aspect, a data transmission device is provided, which includes:

A precoding module, configured to precode the first modulation symbol based on the precoding matrix to obtain symbols to be transmitted;

A mapping module, configured to perform super-Nyquist FTN mapping on symbols to be transmitted to obtain a second signal;

a transmission module, configured to transmit the second signal;

In a fifth aspect, a communication device is provided, the terminal includes a processor, a memory, and a program or instruction stored in the memory and operable on the processor, and the program or instruction is executed by the processor When realizing the steps of the method as described in the first aspect.

In a sixth aspect, a communication device is provided, including a processor and a communication interface, wherein the communication interface is used for:

receiving a first signal; the processor is configured to:

Processing the first signal based on an equalization matrix to obtain a target signal;

In a seventh aspect, a communication device is provided, the network side device includes a processor, a memory, and a program or instruction stored in the memory and operable on the processor, the program or instruction is processed by the implement the steps of the method as described in the second aspect when the controller is executed.

In an eighth aspect, a network side device is provided, including a processor and a communication interface, wherein the processor is used for:

Based on the precoding matrix, precoding the first modulation symbol to obtain symbols to be transmitted;

The communication interface is used for:

transmitting the second signal;

In the ninth aspect, a readable storage medium is provided, and programs or instructions are stored on the readable storage medium, and when the programs or instructions are executed by a processor, the steps of the method described in the first aspect are realized, or the steps of the method described in the first aspect are realized, or The steps of the method described in the second aspect.

In a tenth aspect, a chip is provided, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the method as described in the first aspect steps, or realize the steps of the method as described in the second aspect.

In an eleventh aspect, a computer program/program product is provided, the computer program/program product is stored in a storage medium, and the program/program product is executed by at least one processor to implement the The steps of the method, or the steps of implementing the method as described in the second aspect.

In this embodiment of the present application, the first communication device obtains the target signal by receiving the precoded first signal and performing equalization processing on the first signal based on the equalization matrix determined by the equivalent channel matrix; Information, pre-process the original modulation symbols to avoid the receiver's maximum likelihood sequence detection processing resulting in high algorithm complexity of the receiver, so as to transfer part of the complexity of the receiving side to the sending side, reducing the complexity of the receiver of the FTN system, Make it easier to implement engineering.

Description of drawings

FIG. 1 shows a structural diagram of a wireless communication system to which an embodiment of the present application is applicable;

FIG. 2 is a schematic diagram of a comparison between signals without time domain overlap and time domain overlap provided by the embodiment of the present application;

FIG. 3 is a schematic diagram of the sending and receiving processing flow of the FTN provided by the embodiment of the present application;

Fig. 4 is one of the schematic flow charts of the data transmission method provided by the embodiment of the present application;

Fig. 5 is one of the schematic diagrams of the FTN equivalent channel provided by the embodiment of the present application;

FIG. 6 is the second schematic flow diagram of the data transmission method provided by the embodiment of the present application;

FIG. 7 is the second schematic diagram of the FTN equivalent channel provided by the embodiment of the present application;

FIG. 8 is the third schematic flow diagram of the data transmission method provided by the embodiment of the present application;

Fig. 9 is one of the schematic diagrams of the indication method provided by the embodiment of the present application;

Figure 10 is the second schematic diagram of the indication method provided by the embodiment of the present application;

Figure 11 is the third schematic diagram of the indication method provided by the embodiment of the present application;

FIG. 12 is the fourth schematic flow diagram of the data transmission method provided by the embodiment of the present application;

FIG. 13 is one of the structural schematic diagrams of the data transmission device provided by the embodiment of the present application;

Fig. 14 is the second schematic flow diagram of the data transmission device provided by the embodiment of the present application;

FIG. 15 is a schematic structural diagram of a communication device provided by an embodiment of the present application;

FIG. 16 is one of the schematic diagrams of the hardware structure of the communication device implementing the embodiment of the present application;

FIG. 17 is a second schematic diagram of a hardware structure of a communication device implementing an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of them. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments in this application belong to the protection scope of this application.

The terms "first", "second" and the like in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application are capable of operation in sequences other than those illustrated or described herein and that "first" and "second" distinguish objects. It is usually one category, and the number of objects is not limited. For example, there may be one or more first objects. In addition, "and/or" in the description and claims means at least one of the connected objects, and the character "/" generally means that the related objects are an "or" relationship.

It is worth noting that the technology described in the embodiment of this application is not limited to the Long Term Evolution (Long Term Evolution, LTE)/LTE-Advanced (LTE-Advanced, LTE-A) system, and can also be used in other wireless communication systems, such as code Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access, OFDMA), Single-carrier Frequency-Division Multiple Access (Single-carrier Frequency-Division Multiple Access, SC-FDMA) and other systems. The terms "system" and "network" in the embodiments of the present application are often used interchangeably, and the described technology can be used for the above-mentioned system and radio technology, and can also be used for other systems and radio technologies. The following description describes the New Radio (NR) system for illustrative purposes, and uses NR terminology in most of the following descriptions, but these techniques can also be applied to applications other than NR system applications, such as the 6th generation (6 ^th Generation, 6G) communication system.

FIG. 1 shows a structural diagram of a wireless communication system to which this embodiment of the present application is applicable. The wireless communication system includes a terminal 11 and a network side device 12 . Wherein, the terminal 11 can also be called a terminal device or a user terminal (User Equipment, UE), and the terminal 11 can be a mobile phone, a tablet computer (Tablet Personal Computer), a laptop computer (Laptop Computer) or a notebook computer, a personal digital Assistant (Personal Digital Assistant, PDA), handheld computer, netbook, ultra-mobile personal computer (UMPC), mobile Internet device (Mobile Internet Device, MID), wearable device (Wearable Device) or vehicle-mounted device (VUE), Pedestrian Terminal (PUE) and other terminal-side devices, wearable devices include: smart watches, bracelets, earphones, glasses, etc. It should be noted that, the embodiment of the present application does not limit the specific type of the terminal 11 . The network side device 12 may be a base station or a core network, where a base station may be called a node B, an evolved node B, an access point, a base transceiver station (Base Transceiver Station, BTS), a radio base station, a radio transceiver, a basic service Basic Service Set (BSS), Extended Service Set (ESS), Node B, Evolved Node B (eNB), Home Node B, Home Evolved Node B, WLAN access point, WiFi node, transmission Receiving point (Transmitting Receiving Point, TRP) or some other suitable term in the field, as long as the same technical effect is achieved, the base station is not limited to specific technical terms. It should be noted that in the embodiment of this application, only The base station in the NR system is taken as an example, but the specific type of the base station is not limited.

The data transmission method and device provided by the embodiments of the present application will be described in detail below through some embodiments and application scenarios with reference to the accompanying drawings.

First explain the following:

Physical resource control (Radio resource control, RRC);

Orthogonal frequency division multiplexing (OFDM);

Singular value decomposition (SVD);

Geometry mean decomposition (GMD);

Uniform channel decomposition (UCD).

Faster-than-Nyquist (FTN) transmission is currently considered to be a new type of signal processing technology that can break through the Nyquist sampling rate and further approach the physical limit of channel capacity. Its derivative technology is Overlapped X Division Multiplexing (OVXDM). OVXDM/FTN technology artificially introduces Inter-Symbol Interference (ISI) and/or Inter-Code Interference (ICI) based on waveform coding theory in the time domain/frequency domain, thereby increasing the symbol transmission rate , increasing the equivalent channel capacity. However, the waveform-encoded signal puts forward higher requirements on the performance of the receiver, which increases the complexity of the decoding algorithm and the power consumption of the hardware. Generally speaking, the larger the time-frequency domain overlap coefficient during waveform coding, that is, the more serious the artificially introduced ISI and ICI, the more states need to be judged on the receiver side, and the higher the complexity of the receiving algorithm.

In the complex electromagnetic wave transmission environment in the city, due to the existence of a large number of scattering, reflection and refraction surfaces, the time when wireless signals arrive at the receiving antenna through different paths is different, that is, the multipath effect of transmission is caused by different path signals. ISI occurs when the preceding and following symbols of a transmitted signal arrive at the same time via different paths, or when the subsequent symbol arrives within the delay spread of the previous symbol. Similarly, in the frequency domain, due to frequency offset effects, Doppler effects, and other reasons, the frequency of each subcarrier where the signal is located will be shifted to different degrees, resulting in the overlap of originally possible orthogonal subcarriers, that is, ICI. The above-mentioned ISI/ICI generated during signal transmission is superimposed with the ISI/ICI introduced by waveform coding during transmission, which imposes higher requirements on the decoding capability of the receiver.

At present, in the FTN/Overlapped Time Division Multiplexing (OVTDM) system under fading channels, more complex receiver algorithms can be used to combat fading channels. For example, channel equalization, iterative algorithm of joint channel decoding and other methods are used. However, in practical applications, on the one hand, the actual system is often unable to use an ideal receiver due to constraints such as cost and power consumption, and the complexity of the decoding algorithm implemented is limited. When the ISI/ICI exceeds a certain threshold, it will not be able to correctly decode code. At the same time, when the decoding complexity of the receiver increases, energy consumption will also be increased, which is not conducive to energy saving and consumption reduction of the terminal. At the same time, a large number of simulation results show that the throughput advantage of the FTN/OVTDM system over the traditional OFDM system mainly lies in the high Signal Noise Ratio (SNR) region. In the high SNR area, the impact of noise on the received signal is relatively small, and the receiver can easily decode correctly according to the known constraints of FTN/OVTDM inter-symbol coding, and the bit error rate is very low. In the low SNR area, the impact of noise on the received signal is relatively large, which destroys the constraint relationship between symbols and makes the bit error rate higher, which is not as good as the traditional OFDM system.

Based on the above reasons, in the actual system, the complexity of the receiver algorithm can be reduced as much as possible through some methods, such as using the prior information of the wireless channel, using the channel measurement results, so that the receiver can track the time-varying characteristics of the fading channel , always in the best working condition.

FTN/OVTDM is a signal processing method that artificially introduces an appropriate amount of ISI and/or ICI by performing shift and superposition processing (also known as waveform coding) on the transmitted signal. The purpose is to speed up the symbol transmission rate, that is, to increase the per second Number of symbols sent in (Hz*s). OVXDM includes OVTDM, OVFDM and Overlapped Code Division Multiplexing (OVCDM), as well as the combined technology of OVTDM and Overlapped Frequency Division Multiplexing (OVFDM), which is called Overlapped X-Domain Multiplexing. That is, X-domain overlapping multiplexing; it can be referred to as FTN uniformly. At the same time, the introduced ISI and ICI will increase the complexity of decoding, which may cause an increase in bit error rate. However, the negative effect brought about by the increase of the bit error rate can be suppressed through the advanced decoding algorithm, and overall, the channel capacity can still be improved through the method of accelerating the symbol sending rate. Its expression is as follows:

Wherein, T _Δ =τT,τ∈(0,1), and τ is the time domain overlap coefficient. In particular, in OVXDM, take

Therefore there is

ζ is the frequency domain overlap coefficient. In particular, in OVXDM, take

Therefore there is

FIG. 2 is a schematic diagram of a comparison between signals without time domain overlap and time domain overlap provided by an embodiment of the present application. FIG. 2 is taken as an example to illustrate the generation of ISI. When T=0.8, after the overlapping coefficient of the real-time domain waveform τ=0.8, the amplitude of the pulse waveform carrying the information of other sampling points of the processed signal is not zero at the time of each sampling point, so ISI is generated.

Assuming that the impulse response function of the multipath channel is h _CH (t), the signal after passing through the channel can be equivalently expressed as:

in

The signal expression received by the receiver is:

y(t)=s'(t)+w(t)

(3)

where w(t) is Gaussian white noise.

There are two main ways to generate FTN/OVTDM signals: 1) In a single-antenna system, it can be equivalently generated by oversampling the signal + shaping filtering, and its effect is similar to a convolutional encoder acting on the modulation level ; 2) In a multi-antenna system, it can be generated in a way that is closer to its physical meaning, that is, to control each antenna element/port of the multi-antenna to send signals sequentially with a delay of T _Δ according to the established shift and superposition principle, Signals sent by different antenna elements/ports with different delays are superimposed on the air interface, and ISI is introduced between the sampling points of the signals to form FTN/OVTDM signals.

Due to the superposition effect of waveform coding and multipath channels, the number of equivalent multipaths increases, and the "closer" symbol spacing and subcarrier spacing increase the equivalent time-frequency domain overlap. The increase in the degree of overlap in the time-frequency domain is reflected in more serious ISI and ICI at the receiving end, which poses challenges to the design of the receiver. The complexity of the ML type receiver with the best theoretical performance increases with the degree of waveform overlap. When {K,N} is large, it cannot be realized by hardware. However, the fast algorithm with fixed decoding complexity can't do anything for signals with a high degree of overlap.

In each embodiment of the present application, the overlap coefficient is

The FTN signal of is equivalent to the OVTDM signal with the number of overlapping layers K. For the sake of brevity, FTN can be used to refer to the super-Nyquist signal family represented by FTN/OVTDM. At the same time, the number of overlapping layers can be used as a description method to represent the characteristics of the FTN/OVTDM signal.

In addition, in an actual system, FIG. 3 is a schematic flow diagram of the sending and receiving process of the FTN provided by the embodiment of the present application. As shown in Figure 3, the parts of whitening filter and maximum likelihood sequence detection are different from the communication system based on Nyquist transmission. There are two main differences: the interval of each symbol in the transmitter is much smaller than the minimum interval of Nyquist transmission, which causes the overlap between adjacent data, that is, ISI; thus the receiver must use Whitening filter and maximum likelihood sequence detection (Maximum likelihood sequence estimation, MLSE) algorithm to eliminate this ISI.

Although the MLSE example in Figure 3 is the theoretically optimal receiver algorithm, its complexity has an exponential growth relationship with the modulation order and the number of overlapping layers, and its tolerance to channel estimation errors is very low, thus limiting its practical use scene. Since then, various algorithms dedicated to improving performance and reducing complexity have been proposed one after another, such as the BCJR algorithm based on log-MAP, which achieves performance close to MLSE and is more robust to fading channels; based on heuristic Ball decoding algorithms, etc., focus on reducing the complexity of the receiver, but at the expense of performance. Moreover, the common feature of these algorithms is that they belong to nonlinear detection, and their complexity is not stable for SNR. Therefore, it is necessary to ensure sufficient performance (such as complexity) redundancy to adapt to channel changes when designing hardware. Therefore, in reducing The complexity of engineering implementation is not as good as theoretically ideal.

Fig. 4 is one of the flow diagrams of the data transmission method provided by the embodiment of the present application. As shown in Fig. 4, the method includes:

Step 400, the first communication device receives a first signal;

Step 410, the first communication device processes the first signal based on an equalization matrix to obtain a target signal;

Optionally, the first communication device may be the receiving side;

Optionally, the second communication device may be the sending side;

Optionally, the first communication device may be a terminal, and the second communication device may be a network-side device. Uplink may mean sending by the receiving side and receiving by the sending side; downlink means sending by the sending side and receiving by the receiving side.

Optionally, the time-domain output-input relationship of the signal can be written as a matrix expression: Y=HX+N; wherein, Y can be the time-domain sampling point of the first signal received by the first communication device, and X can be the second Time-domain sampling points of the second signal sent by the communication device, where H is a channel matrix, and N is a noise vector.

Optionally, the equivalent channel matrix can be determined by the following matrix:

The third time-domain channel matrix corresponding to the shaping filter, denoted as G; and

The second time-domain channel matrix corresponding to the matched filter is denoted as G ^H .

Optionally, the equivalent channel used to calculate the precoding matrix is _Heq = GGH ^. FIG. 5 is one of the schematic diagrams of the FTN equivalent channel provided by the embodiment of the present application, and FIG. 5 shows the FTN equivalent channel. At this time, the first communication device (receiver) can first use the known channel information to perform channel equalization on the symbol samples to be processed (time-domain sample points Y of the first signal), so as to remove/reduce the noise caused by the physical channel H. path interference.

FIG. 6 is the second schematic flow diagram of the data transmission method provided by the embodiment of the present application. FIG. 6 shows the flow of scheme one: the second communication device may first modulate the initial data to be transmitted, such as quadrature amplitude modulation (Quadrature Amplitude Modulation, QAM), to obtain the first modulation symbol, and then the second communication device can perform precoding (Pre-coding) on the first modulation symbol based on the precoding matrix to obtain symbols to be transmitted, and then the second communication device can treat The transmission symbol is subjected to super-Nyquist FTN mapping, including Up sampling and Pulse shaping, to obtain the time-domain sampling point of the second signal; then the second communication device can send the time-domain sampling point of the second signal.

Optionally, after the second communication device sends the time-domain sampling point of the second signal, the first communication device may receive the time-domain sampling point of the first signal, and then perform channel equalization on the time-domain sampling point of the first signal (Channel Equalizer) FTN, and then perform FTN demodulation (FTN demapping), including matched filtering (Matched filtering), and perform FTN equalization (FTN Equalizer) on the time-domain sampling points of the first signal based on the equalization matrix to obtain the target signal Time-domain sampling points, followed by quadrature amplitude demodulation.

Optionally, the time-domain sampling points of the first signal processed by matched filtering can be sent to the FTN demodulator, and firstly use the unitary matrix in the precoding process to linearly equalize the effect of the FTN equivalent channel, and further remove The ISI brought by the FTN equivalent channel; then sent to the decision device for symbol detection. The above process can be regarded as a cascaded connection of an equalizer in a traditional communication system and a detector of a precoded FTN signal. The block diagram of the cascaded system is shown in FIG. 6 .

Optionally, the advantage of Solution 1 is that the channel information can be transparent to the sending side (such as the second communication device), and the receiving side (such as the first communication device) can use the reference signal sent by the sending side (such as the second communication device) to conduct channel After measurement, it is directly used for equalization processing on the receiving side (such as the first communication device), and the receiving side (such as the first communication device) does not need to perform channel information feedback in the process, reducing signaling interaction overhead between transceivers.

Optionally, the problem with Solution 1 is that the channel equalization module in the cascaded system involves the operation of inverting the channel matrix. When the number of antennas is large and the multipath effect is obvious, the complexity is relatively high.

Optionally, the equivalent channel matrix can also be determined by the following matrix:

The second time-domain channel matrix corresponding to the matched filter, denoted as G ^H ; and

The first time-domain channel matrix corresponding to the physical channel is denoted as H.

Optionally, the equivalent channel used to calculate the precoding matrix is _Heq =GHGH ^H , and FIG. 7 is the second schematic diagram of the FTN equivalent channel provided by the embodiment of the present application, and FIG. 7 shows the FTN equivalent channel. It may be called an end-to-end (end to end, E2E) equivalent channel.

Fig. 8 is the third schematic flow diagram of the data transmission method provided by the embodiment of the present application, as shown in Fig. 8, the flow of scheme two: the second communication device can first modulate the initial data to be transmitted, such as QAM modulation (QAM modulation) , to obtain the first modulation symbol, and then the second communication device can perform precoding (Pre-coding) on the first modulation symbol based on the precoding matrix to obtain symbols to be transmitted, and then the second communication device can perform pre-coding on the symbols to be transmitted Qwest FTN mapping, including up sampling (Up sampling) and pulse shaping (Pulse shaping), to obtain the time-domain sampling points of the second signal; then the second communication device can send the time-domain sampling points of the second signal.

Optionally, after the second communication device sends the time-domain sampling point of the second signal, the first communication device may receive the time-domain sampling point of the first signal, and then perform FTN solution on the time-domain sampling point of the first signal FTN demapping, including Matched filtering, and performing Equivalent Channel Equalizer (Equivalent Channel Equalizer) on the time-domain sampling points of the first signal based on the equalization matrix to obtain the time-domain sampling points of the target signal, and then perform normal Cross-amplitude demodulation.

Optionally, this embodiment of the present application may significantly reduce the complexity of the first communication device (receiving end).

Optionally, the precoding in Scheme 2 needs to be adjusted in time according to the dynamic changes of the channel, which may be difficult to apply in the fast fading scenario. In addition, in order to allow the second communication device (sending side) to acquire instant channel information and perform uplink measurement or downlink measurement, additional signaling overhead may be introduced.

For example, when uplink measurement is used, the first communication device may send an uplink reference signal, and the second communication device may perform channel estimation, calculate a precoding matrix, generate and send a precoded Precoded-FTN signal. At this time, the first communication device also needs to use the precoding matrix to receive, that is, the first communication device also needs to obtain information related to channel equalization, that is, channel parameters or the precoding matrix at the sending side. At this moment, the first communication device has two options:

The second communication device notifies the first communication device of information related to channel equalization.

The first communication device uses the downlink reference signal in the sent data to perform channel measurement, and calculates the precoding matrix by itself.

Optionally, the first communication device may process the first signal received from the second communication device based on an equalization matrix to obtain the target signal; wherein the equalization matrix is determined based on an equivalent channel matrix.

The first communication device determines based on the equivalent channel matrix, or the equalization matrix is determined by the second communication device based on the equivalent channel matrix and indicated to the first communication device.

Optionally, this embodiment of the present application proposes that the second communication device performs preprocessing (precoding) on the original first modulation symbol according to the predicted equivalent channel information, so as to transfer part of the complexity of the receiving side to the sending side. , to achieve the purpose of reducing the complexity of the detection algorithm at the receiving side.

Optionally, the method also includes at least one of the following:

The first communication device performs matrix decomposition on the equivalent channel matrix to obtain the equalization matrix;

The first communication obtains the equalization matrix based on the first indication information sent by the second communication device.

Optionally, the first communication device may determine an equalization matrix based on an equivalent channel matrix;

Optionally, when the first communication device determines the equalization matrix based on the equivalent channel matrix, it may perform matrix decomposition on the equivalent channel matrix to obtain the equalization matrix;

Optionally, the second communication device may determine the equalization matrix based on the equivalent channel matrix, and then the second communication device indicates the equalization matrix to the first communication device through the first indication information;

Optionally, when the second communication device determines the equalization matrix based on the equivalent channel matrix, it may perform matrix decomposition on the equivalent channel matrix to obtain the equalization matrix, and then the second communication device indicates the equalization matrix through the first indication information to the first communication device.

Optionally, the channel matrix is usually decomposed into two unitary matrices that are left-multiplied and right-multiplied by an intermediate matrix, for example, A=UDV. The idea of precoding using this result is essentially to multiply the sample point data by the column vector in the unitary matrix after channel matrix decomposition, so as to project the sample point to the subspace corresponding to the vector, that is, the logical subchannel middle; the main diagonal element of the middle matrix corresponding to the vector is the gain of the subchannel.

Optionally, the first communication device performs matrix decomposition on the equivalent channel matrix to obtain the equalization matrix, including:

When it is determined that the precoding mode is the GMD mode, the first communication device performs matrix decomposition on the equivalent channel matrix based on a GMD matrix decomposition method to obtain the equalization matrix.

Optionally, for the GMD method, the D matrix is the second upper triangular matrix. The embodiment of the present application can use the GMD method to realize precoding, which is equivalent to that when each sample point data is transmitted on a subchannel corresponding to a unitary matrix column vector, it is affected by the channel gain whose size is the value of the corresponding main diagonal element. And receive interference from other symbols.

Optionally, the benefit of the GMD method is that the decomposed sub-channel gains are the same (that is, the values of the main diagonal elements of the D matrix are approximately equal).

Optionally, after determining that the precoding mode is the GMD mode, the first communication device may perform matrix decomposition on the equivalent channel matrix based on a GMD matrix decomposition method to obtain the equalization matrix.

Optionally, the first communication device performs matrix decomposition on the equivalent channel matrix based on a GMD matrix decomposition method to obtain the equalization matrix, including:

The first communication device performs matrix decomposition on the equivalent channel matrix _Heq1 to obtain _Heq1 =Q ₁ R ₁ P ^H ;

Wherein, P is a precoding matrix, R ₁ is a first intermediate matrix, and Q ₁ ^H is the equalization matrix.

Optionally, when the first communication device performs matrix decomposition on the equivalent channel matrix based on the GMD matrix decomposition method, it may perform matrix decomposition on the equivalent channel matrix _Heq1 , and decompose to obtain _Heq1 =Q ₁ R ₁ P ^H , the precoding matrix P, the first intermediate matrix R ₁ , and the equalization matrix Q ₁ ^H can be obtained.

Optionally, the first communication device processes the first signal based on an equalization matrix to obtain a target signal, including:

The first communication device determines, based on the equalization matrix Q ₁ ^H , that the equalized first signal is Q ₁ ^H Y ₁ =R ₁ S+Q ₁ ^H N;

The first communication device determines, based on the equalized first signal, that the target signal is

Wherein, Y ₁ is the first signal, Y ₁ =HX ₁ +N, N is noise, X ₁ is the second signal sent by the second communication device, X ₁ =PS, S is the first modulation before precoding Symbol, H is the first time-domain channel matrix corresponding to the physical channel.

Optionally, after the first communication device performs matrix decomposition on the equivalent channel matrix based on the GMD matrix decomposition method to obtain the equalization matrix Q ₁ ^H , it may determine the equalized first channel matrix based on the equalization matrix Q ₁ ^H . The signal is Q ₁ ^H Y ₁ =R ₁ S+Q ₁ ^H N;

Optionally, P may be used as a precoding matrix. Assume that the original QAM symbol is S, and the transmitted symbol (second signal) is X=PS; the first communication device can use the equalization matrix Q ₁ ^H to linearly equalize the discrete time-domain sampling points of the received first signal, that is, Q ₁ ^H Y ₁ =Q ₁ ^H HPS+Q ₁ ^H N=Q ₁ ^H Q ₁ R ₁ P ^H PS+Q ₁ ^H N=R ₁ S+Q ₁ ^H N;

Optionally, using the upper triangular characteristic of R, the estimated sample point value can be obtained by applying the SIC receiver

which is

Optionally, in this embodiment of the present application, iterative solution using the SIC receiver can be implemented, which can avoid matrix inversion of R ₁ ^-1 , and has low complexity.

When it is determined that the precoding mode is the UCD mode, the first communication device performs matrix decomposition on the equivalent channel matrix based on a UCD matrix decomposition method to obtain the equalization matrix.

Optionally, the UCD method can be extended by introducing a channel matrix, which increases the number of decomposed equivalent sub-channels. The advantages of the channel power allocation of the SVD mode and the channel gain balance of the GMD mode are integrated. The precoding matrix of UCD adopts

Constructed, where V is the right unitary matrix of SVD, Φ is a diagonal matrix obtained by power injection according to the D matrix of SVD, and Ω is a semi-unitary matrix constructed according to the UCD method in literature [1]. The equalization matrix of UCD is Q ^H , given by

Get it.

Optionally, after determining that the precoding mode is the UCD mode, the first communication device may perform matrix decomposition on the equivalent channel matrix based on a UCD matrix decomposition method to obtain the equalization matrix.

Optionally, the first communication device performs matrix decomposition on the equivalent channel matrix based on a UCD matrix decomposition method to obtain the equalization matrix, including:

The first communication device performs matrix decomposition on the equivalent channel matrix _Heq2 to obtain _Heq2 = UΛV ^H , where Λ is a power allocation correlation matrix, V is a unitary matrix, and U is a second intermediate matrix; the second A communication device determines a first power allocation matrix Φ=diag{φ ₁ ,φ ₂ ,...,φ _K } based on the power allocation correlation matrix Λ, where the diagonal elements

Wherein, λ _k is the diagonal element of Λ;

The first communication device determines a precoding matrix based on the unitary matrix, the first power allocation matrix and the semi-unitary matrix Ω

The first communication device determines the equalization matrix Q ₂ ^H based on the precoding matrix;

in,

_R2 is the first upper triangular matrix.

Optionally, when the first communication device performs matrix decomposition on the equivalent channel matrix based on the UCD matrix decomposition method, it may perform matrix decomposition on the equivalent channel matrix _Heq2 , and decompose to obtain _Heq2 = UΛV ^H , where , Λ is the power allocation correlation matrix, V is the unitary matrix in the UCD matrix decomposition method, and U is the second intermediate matrix;

Optionally, after obtaining the unitary matrix V in the UCD matrix decomposition method, the first power allocation matrix (water injection power allocation matrix) Φ=diag{φ ₁ , φ ₂ , … can be determined based on the power allocation correlation matrix Λ ,φ _K }, whose diagonal elements

Where λ _k is the diagonal element of Λ.

Optionally, after the first power allocation matrix is determined, a semi-unitary matrix Ω can be constructed. It should be noted that, in this embodiment of the application, the semi-unitary matrix Ω can be a certain fixed matrix, which can be the first communication device or What the second communication device indicates to the communication peer after it is constructed may also be predefined by the protocol or preset by the system.

Optionally, after constructing and obtaining the semi-unitary matrix Ω, the precoding matrix in the UCD matrix decomposition method can be determined based on the unitary matrix V, the first power allocation matrix and the semi-unitary matrix Ω

Optionally, in determining the precoding matrix in the UCD matrix factorization method

Finally, the extended channel matrix can be constructed according to F and QR decomposition can be obtained

and thus obtain

Furthermore, the equalization matrix Q ₂ ^H can be obtained directly.

The first communication device determines, based on the equalization matrix Q ₂ ^H , that the equalized first signal is Q ₂ ^H =R ₂ S+Q ₂ ^H N;

Wherein, Y ₂ is the first signal, Y ₂ =HX ₂ +N, X ₂ =FS.

Wherein, N is noise, X ₂ is the second signal sent by the second communication device, X ₂ =FS, S is the first modulation symbol before precoding, and H is the first time-domain channel matrix corresponding to the physical channel.

Optionally, after the first communication device performs matrix decomposition on the equivalent channel matrix based on the UCD matrix decomposition method to obtain an equalization matrix Q ₂ ^H , the equalized first channel may be determined based on the equalization matrix Q ₂ ^H The signal is Q ₂ ^H =R ₂ S+Q ₂ ^H N;

Optionally, P may be used as a precoding matrix. Assume that the original QAM symbol is S, and the transmitted symbol (second signal) is X=PS; the first communication device can use the equalization matrix _Q2H to ^linearly equalize the discrete time-domain sampling points of the received first signal, namely

which is

Optionally, in this embodiment of the present application, an iterative solution using a SIC receiver can be implemented, which can avoid matrix inversion of R ⁻¹ and has low complexity.

When it is determined that the precoding mode is the SVD mode, the first communication device performs matrix decomposition on the equivalent channel matrix based on the SVD matrix decomposition method to obtain the equalization matrix.

Optionally, for the SVD method, the column vectors of the unitary matrix are eigenvectors; and the D matrix is a diagonal matrix, and the diagonal elements are eigenvalues. Therefore, using the SVD method for precoding is equivalent to that when each sample data is transmitted on a sub-channel corresponding to a certain eigenvector, it is only affected by the channel gain of the corresponding eigenvalue without inter-symbol interference. At the same time, the SVD method can use power allocation to achieve a balance between channel capacity and bit error rate.

Optionally, after determining that the precoding mode is the SVD mode, the first communication device may perform matrix decomposition on the equivalent channel matrix based on the SVD matrix decomposition method to obtain the equalization matrix.

Optionally, the first communication device performs matrix decomposition on the equivalent channel matrix based on the SVD matrix decomposition method to obtain the equalization matrix, including:

The first communication device performs matrix decomposition on the equivalent channel matrix _Heq3 to obtain _Heq3 =Q ₃ MW ^H ;

Wherein, W is a precoding matrix, M is a diagonal matrix, and Q ₃ ^H is the equalization matrix.

Optionally, when the first communication device performs matrix decomposition on the equivalent channel matrix based on the SVD matrix decomposition method, it may perform matrix decomposition on the equivalent channel matrix _Heq3 , and decompose to obtain _Heq3 = Q ₃ MW ^H , the precoding matrix W (the unitary matrix in the SVD matrix decomposition method), the diagonal matrix M, and the equalization matrix Q ₃ ^H can be obtained.

The first communication device determines, based on the equalization matrix Q ₃ ^H , that the equalized first signal is Q ₃ ^H Y ₃ =MΣ ₁ S+Q ₃ ^H N;

Wherein, Y ₃ is the first signal, Y ₃ =HX ₃ +N, X ₃ =FS, Σ ₁ is the second power allocation matrix, and the second power allocation matrix is indicated by the second communication device to the first communication equipment.

Wherein, N is noise, X ₃ is the second signal sent by the second communication device, X ₃ =FS, S is the first modulation symbol before precoding, and H is the first time-domain channel matrix corresponding to the physical channel.

Optionally, after the first communication device performs matrix decomposition on the equivalent channel matrix based on the SVD matrix decomposition method to obtain the equalization matrix Q ₃ ^H , the equalized first channel may be determined based on the equalization matrix Q ₃ ^H The signal is Q ₃ ^H Y ₃ =MΣ ₁ S+Q ₃ ^H N;

Optionally, P may be used as a precoding matrix. Assume that the original QAM symbol is S, and the transmitted symbol (second signal) is X=PS; the first communication device can use the equalization matrix Q ₃ ^H to linearly equalize the discrete time-domain sampling points of the received first signal, that is, Q ₃ ^H Y＝Q ₃ ^H HWΣ ₁ S+Q ₃ ^H N＝Q ₃ ^H Q ₃ MW ^H WΣ ₁ S+Q ₃ ^H N＝MΣ ₁ S+Q ₃ ^H N

Optionally, the channel response matrix 0 after linear equalization at the receiving side can be changed into a diagonal matrix, which completely eliminates the ISI in the FTN signal, and can directly perform symbol judgment, and can obtain Q ₃ ^H Y ₃ =Q ₃ ^H HWS+ _Q3HN ₌ ^Q3HQ3MWHWS ⁺ ^Q3HN ₌ _MS ⁺ _Q3HN ^.

Optionally, the equalization can be completed by one matrix multiplication at the receiver side, and the complexity is extremely low.

Optionally, since sub-channel gains after SVD are unbalanced, power allocation may also be performed on each sub-channel as required. Therefore, a power distribution matrix, namely a diagonal matrix Σ ₁ , can be introduced.

Optionally, depending on the requirements of different scenarios, the power water filling criterion can be used to determine Σ to maximize the channel capacity, and the power reverse water filling criterion can also be used to determine Σ ₁ to ensure the performance of sub-channels with poor gain. The signal input and output relationship after adding Σ ₁ is: Q ₃ ^H Y＝Q ₃ ^H HWΣ ₁ S+Q ₃ ^H N＝Q ₃ ^H Q ₃ MW ^H WΣ ₁ S+Q ₃ ^H N＝MΣ ₁ S+Q ₃ ^H N

The first communication device determines, based on the equalization matrix Q ₃ ^H , that the equalized first signal is

Wherein, Y ₄ is the first signal, Y ₄ =HX ₄ +N,

Σ ₂ is a third power allocation matrix, the third power allocation matrix is indicated by the second communication device to the first communication device, wherein,

The length of is Q _ftn , Q _ftn is the number of all subchannels, and

in,

is the number of sub-channels actually used for transmission, and K is the FTN overlap coefficient.

Wherein, N is noise, and X ₄ is a second signal sent by the second communication device.

Optionally, the problem with the classical SVD method is that the values of the main diagonal elements of the M matrix after channel matrix decomposition are different, that is, the gains of the corresponding sub-channels are different. At this time, in order to take into account the channel capacity and bit error rate, under the premise that the total power of the transmitter is limited, if the purpose is to increase the channel capacity, the optimal method can be to perform power water injection, that is, to allocate sub-channels with greater channel gain More transmit power; channel capacity can be increased, sacrificing the bit error rate of sub-channels with weak channel gain, which may cause the symbols transmitted on these sub-channels to never be correctly demodulated;

Optionally, if the purpose is to ensure that each sub-channel can achieve a certain bit error rate, a method similar to reverse power water injection can be used to allocate more transmit power to sub-channels with smaller channel gains, which can improve the weaker The performance of the bit error rate on the sub-channels enables the symbols transmitted on these sub-channels to be demodulated with a lower bit error rate, but this sacrifices energy utilization efficiency and reduces the total channel capacity.

In order to overcome the disadvantages of the classic SVD method, the improved SVD method provided by the embodiment of the present application can comprehensively consider the channel capacity and the bit error rate.

Optionally, by analyzing the equivalent channel matrix, it can be known that there is a law in the distribution of the amplitude values of the main diagonal elements of the M matrix. Assuming that the roll-off coefficient of the shaping filter used is β, only the first 1+β main diagonal elements in the M matrix have larger amplitude values, in other words, only 1+β subchannels with better channel quality . Therefore, in order to improve energy utilization efficiency, you can only choose to transmit symbols on these 1+β sub-channels; in order to take into account the fairness, you can use the power allocation matrix generated by the inverse power water filling rule in these 1+β sub-channels (the third The power allocation matrix Σ ₂ ) is used to balance the gains of the selected sub-channels to ensure that the symbols transmitted in each sub-channel have similar BER performance. Therefore, the corresponding precoding operation can be:

in,

The length of is Q _ftn , Q _ftn is the number of all subchannels, and

in,

is the number of sub-channels actually used for transmission, K is the FTN overlap coefficient, and 1+β<K.

Optionally, for the gain of the sub-channels to be the same, Σ ₂ =M ⁻¹ is taken at this time. At this time, the equalized signal on the receiving side is:

Optionally, in the embodiment of the present application, the number of symbols sent within one symbol sending period is reduced from Q _ftn to

and the power allocated to each symbol increases accordingly

times. The corresponding equivalent channel capacity C is:

Among them, B _ftn is the signal bandwidth, ES is the symbol power, and _N ₀ is the noise power.

Optionally, in this embodiment, the obtained number of main diagonal elements

The first communication device can calculate by itself according to the β (inclusion relationship) in the indicated shaping filter coefficients, so no indication is required.

Optionally, in some scenarios, such as scenarios that do not require a high sending rate, a value may be specified by the sending side (second communication device)

At this time, it needs to be indicated to the first communication device in the downlink message.

Optionally, the second communication device may send a 1-bit indication to switch the SVD precoding method between the SVD method and the improved SVD method provided in the foregoing embodiments.

Optionally, the method also includes:

receiving second indication information sent by the second communication device, where the second indication information is used to indicate the equivalent channel matrix.

Optionally, when _Heq =GG ^H , channel measurement for demodulation by the first communication device may be implemented by existing technology, for example, obtain a channel by measuring a downlink reference channel, and then use ZF/MMSE equalization to remove ISI. At this time, the first communication device only needs to know the parameters of the precoded FTN signal generated by the second communication device. The precoded FTN signal generation parameters may be uniquely determined by any set of the following parameters:

{number of upsampling, shaping filter coefficients};

{FTN overlapping layers, shaping filter series}.

Optionally, in order to reduce the complexity of hardware implementation, the implementation of the shaping filter is usually a few optional values, which are stipulated by the protocol and can be represented by an index lookup table;

Optionally, shaping filters need not be indicated if they are uniquely determined by the protocol.

Optionally, the first communication device may receive second indication information sent by the second communication device, where the second indication information is used to indicate the equivalent channel matrix, where the second communication device may indicate the first index or The first parameter indicates an equivalent channel matrix; wherein, the first index is used to indicate a first parameter in an equivalent channel matrix table, and the first parameter is used to determine the equivalent channel matrix.

Optionally, the first parameters include shaping filter coefficients and at least one of the following:

Upsampling times;

FTN overlap factor.

Optionally, the method also includes:

receiving third indication information sent by the second communication device, where the third indication information is used to indicate the precoding manner.

Optionally, the first communication device may receive third indication information sent by the second communication device, and the first communication device may determine the current precoding manner based on the third indication information.

Optionally, the second communication device may select different precoding methods (for example, different methods of SVD, GMD, and UCD) according to different scenarios, and the first communication device needs to know this information to select a correct equalization matrix. Therefore, the second communication device may send {precoding mode} (third indication information) to the receiver side.

Optionally, when the second communication device determines the precoding manner, it may be determined based on protocol pre-definition, or pre-set by the system.

Figure 9 is one of the schematic diagrams of the indication method provided by the embodiment of the present application. As shown in Figure 9, it is a broadcast plus unicast precoding FTN parameter indication method. When the second communication device is a base station, in order to reduce the multi-user For signaling overhead, one implementation form is that the base station broadcasts an optional precoding FTN signal generation parameter table and the precoding method used, and then uses a dedicated (dedicated) RRC to notify each UE (first communication device) of a specific index.

FIG. 10 is the second schematic diagram of the indication method provided by the embodiment of the present application. As shown in FIG. 10 , channel information is required for configuration of relevant parameters of the FTN signal, precoding at the sending side, and equalization at the receiving side. When channel reciprocity exists, an uplink measurement scheme can be used.

FIG. 11 is the third schematic diagram of the indication method provided by the embodiment of the present application. As shown in FIG. 11 , channel information is required for configuration of relevant parameters of the FTN signal, precoding at the sending side, and equalization at the receiving side. When there is no channel reciprocity, a downlink measurement scheme can be used.

Fig. 12 is the fourth schematic flow diagram of the data transmission method provided by the embodiment of the present application. As shown in Fig. 12, the method includes:

Step 1200, the second communication device precodes the first modulation symbol based on the precoding matrix to obtain symbols to be transmitted;

Step 1210, the second communication device performs super-Nyquist FTN mapping on symbols to be transmitted to obtain a second signal;

Step 1220, the second communication device transmits the second signal;

Optionally, the first communication device may be the receiving side;

Optionally, the second communication device may be the sending side;

Optionally, the time-domain output-input relationship of the signal can be written as a matrix expression:

Y=HX+N; wherein, Y may be the time-domain sampling point of the first signal received by the first communication device, and X may be the time-domain sampling point of the second signal sent by the second communication device, wherein H is a channel matrix , N is the noise vector.

Optionally, after the second communication device sends the time-domain sampling point of the second signal, the first communication device may receive the time-domain sampling point of the first signal, and then perform FTN solution on the time-domain sampling point of the first signal Tune FTN demapping, including Matched filtering, and perform Equivalent Channel Equalizer on the time-domain sampling points of the first signal based on the equalization matrix to obtain the time-domain sampling points of the target signal, and then perform quadrature amplitude demodulation.

For example, when uplink measurement is used, the first communication device may send an uplink reference signal, and the second communication device may perform channel estimation, calculate a precoding matrix, generate and send a Precoded-FTN signal. At this time, the first communication device also needs to use the precoding matrix to receive, that is, the first communication device also needs to obtain information related to channel equalization, that is, channel parameters or the precoding matrix at the sending side. At this moment, the first communication device has two options:

The first communication device determines based on the equivalent channel matrix, or the equalization matrix is determined by the second communication device based on the equivalent channel matrix and then indicated to the first communication device.

Optionally, the method also includes:

The second communication device performs matrix decomposition on the equivalent channel matrix to obtain the precoding matrix.

Optionally, the second communication device may determine a precoding matrix based on an equivalent channel matrix;

Optionally, when determining the precoding matrix based on the equivalent channel matrix, the second communication device may perform matrix decomposition on the equivalent channel matrix to obtain the precoding matrix.

Optionally, the second communication device performs matrix decomposition on the equivalent channel matrix to obtain the precoding matrix, including:

When the precoding mode is the GMD mode, the second communication device performs matrix decomposition on the equivalent channel matrix based on a GMD matrix decomposition method to obtain the precoding matrix.

Optionally, the benefit of the GMD approach is that the decomposed sub-channel gains are the same (that is, the values of the main diagonal elements of the D matrix are approximately equal).

Optionally, after determining that the precoding mode is the GMD mode, the second communication device may perform matrix decomposition on the equivalent channel matrix based on a GMD matrix decomposition method to obtain the precoding matrix.

Optionally, the second communication device performs matrix decomposition on the equivalent channel matrix based on a GMD matrix decomposition method to obtain the precoding matrix, including:

Wherein, P is the precoding matrix, R ₁ is the first intermediate matrix, and Q ₁ ^H is the equalization matrix.

When it is determined that the precoding mode is the UCD mode, the second communication device performs matrix decomposition on the equivalent channel matrix based on a UCD matrix decomposition method to obtain the precoding matrix.

Get it.

Optionally, after determining that the precoding mode is the UCD mode, the first communication device may perform matrix decomposition on the equivalent channel matrix based on a UCD matrix decomposition method to obtain the precoding matrix.

Optionally, the second communication device performs matrix decomposition on the equivalent channel matrix based on a UCD matrix decomposition method to obtain the precoding matrix, including:

The first communication device performs matrix decomposition on the equivalent channel matrix _Heq2 to obtain _Heq2 = UΛV ^H , where Λ is a power allocation correlation matrix, V is a unitary matrix, and U is a second intermediate matrix;

The first communication device determines a first power allocation matrix Φ=diag{φ ₁ ,φ ₂ ,...,φ _K } based on the power allocation correlation matrix Λ, where the diagonal elements

Wherein, λ _k is the diagonal element of Λ;

Where λ _k is the diagonal element of Λ.

Optionally, after constructing and obtaining the semi-unitary matrix Ω, the precoding matrix in the UCD matrix decomposition method can be determined based on the unitary matrix, the first power allocation matrix and the semi-unitary matrix Ω

Optionally, the method also includes:

in,

_R2 is the first upper triangular matrix.

and thus obtain

Furthermore, the equalization matrix Q ₂ ^H can be obtained directly.

When it is determined that the precoding mode is the SVD mode, the second communication device performs matrix decomposition on the equivalent channel matrix based on the SVD matrix decomposition method to obtain the precoding matrix.

Optionally, after determining that the precoding mode is the SVD mode, the first communication device may perform matrix decomposition on the equivalent channel matrix based on an SVD matrix decomposition method to obtain the precoding matrix.

Optionally, the second communication device performs matrix decomposition on the equivalent channel matrix based on the SVD matrix decomposition method to obtain the precoding matrix, including:

The second communication device performs matrix decomposition on the equivalent channel matrix _Heq3 to obtain _Heq3 =Q ₃ MW ^H ;

Optionally, the method also includes:

The second communication device determines the equivalent channel matrix based on the first time-domain channel matrix corresponding to the physical channel, the second time-domain channel matrix corresponding to the matched filter, and the third time-domain channel matrix corresponding to the shaping filter .

Optionally, the equivalent channel matrix H _eq =GHGH ^H ; wherein, G is the third time-domain channel matrix, G ^H is the second time-domain channel matrix, and H is the first time-domain channel matrix.

Optionally, the equivalent channel used to calculate the precoding matrix is _Heq =GHGH ^H , and FIG. 7 is the second schematic diagram of the FTN equivalent channel provided by the embodiment of the present application, and FIG. 7 shows the FTN equivalent channel. It may be called an E2E (end to end, end-to-end) equivalent channel.

Optionally, as shown in FIG. 8 is the process of scheme two: the second communication device may first modulate the initial data to be transmitted, such as QAM modulation (QAM modulation), to obtain a first modulation symbol, and then the second communication device may be based on The precoding matrix is used to perform precoding (Pre-coding) on the first modulation symbol to obtain the symbols to be transmitted, and then the second communication device can perform super-Nyquist FTN mapping on the symbols to be transmitted, including Up sampling and pulse shaping Pulse shaping, obtaining a time-domain sampling point of the second signal; and then the second communication device may send the time-domain sampling point of the second signal.

Optionally, the method also includes:

Determine the first time-domain channel matrix based on current physical channel quality information.

Optionally, the second communications device may first obtain current physical channel quality information, and then determine the first time-domain channel matrix based on the current physical channel quality information.

As shown in Figure 10, channel information is required for the configuration of relevant parameters of the FTN signal, precoding at the sending side, and equalization at the receiving side. When channel reciprocity exists, an uplink measurement scheme can be used. As shown in Figure 11, when there is no channel reciprocity, the downlink measurement scheme can be used.

Optionally, the method also includes:

The second communication device determines the equivalent channel matrix based on the third time-domain channel matrix corresponding to the shaping filter and the second time-domain channel matrix corresponding to the matched filter.

Optionally, the equivalent channel matrix _Heq =GG ^H ; wherein, G ^H is the second time-domain channel matrix, and G is the third time-domain channel matrix.

Fig. 6 is the second schematic flow diagram of the data transmission method provided by the embodiment of the present application, as shown in Fig. 6, the flow of scheme one: the second communication device can first modulate the initial data to be transmitted, such as QAM modulation (QAM modulation) , to obtain the first modulation symbol, and then the second communication device can perform precoding (Pre-coding) on the first modulation symbol based on the precoding matrix to obtain symbols to be transmitted, and then the second communication device can perform pre-coding on the symbols to be transmitted Qwest FTN mapping, including Up sampling and Pulse shaping, to obtain time-domain sampling points of the second signal; then the second communication device may send the time-domain sampling points of the second signal.

Optionally, after the second communication device sends the time-domain sampling point of the second signal, the first communication device may receive the time-domain sampling point of the first signal, and then perform channel equalization on the time-domain sampling point of the first signal Channel EqualizerFTN, and then FTN demodulation FTN demapping can be performed, including Matched filtering, and FTN equalization FTN Equalizer is performed on the time-domain sampling points of the first signal based on the equalization matrix to obtain the time-domain sampling points of the target signal, and then perform quadrature Amplitude demodulation.

Optionally, the advantage of Solution 1 is that the channel information can be transparent to the sending side (second communication device), and the receiving side (first communication device) can use the reference signal sent by the sending side (second communication device) to perform channel measurement, It is directly used for equalization processing on the receiving side (first communication device), and does not require the receiving side (first communication device) to feedback channel information in the process, reducing signaling interaction overhead between transceivers.

Optionally, the transmission of the second signal by the second communication device includes:

The second communication device transmits the second signal on 1+β sub-channels of the physical channel;

Wherein, the β is the roll-off coefficient of the shaping filter.

In order to take into account both channel capacity and bit error rate, under the premise that the total power of the transmitter is limited, if the purpose is to increase the channel capacity, the optimal method can be to perform power water injection, that is, to allocate more subchannels with greater channel gain. can increase the channel capacity and sacrifice the bit error rate of sub-channels with weak channel gain, which may cause the symbols transmitted on these sub-channels to never be correctly demodulated;

In order to overcome the disadvantages of the classic SVD method, the improved SVD method provided by the embodiment of the present application can comprehensively consider the channel capacity and bit error rate.

Optionally, by analyzing the equivalent channel matrix, it can be known that there is a law in the distribution of amplitude values of the main diagonal elements of the M matrix. Assuming that the roll-off coefficient of the shaping filter used is β, only the first 1+β main diagonal elements in the M matrix have larger amplitude values, in other words, only 1+β subchannels with better channel quality . Therefore, in order to improve energy utilization efficiency, you can only choose to transmit symbols on these 1+β sub-channels;

Optionally, the second communication device transmits the second signal on 1+β sub-channels of the physical channel, including:

Based on the third power allocation matrix, determine the second signal mapped to each subchannel in the 1+β subchannels.

Optionally, in order to take into account fairness, the power allocation matrix (the third power allocation matrix Σ ₂ ) generated by the inverse power water filling criterion can be used to balance the gains of the selected sub-channels within the 1+β sub-channels, The symbols transmitted in each subchannel are guaranteed to have approximate BER performance. Therefore, the corresponding precoding operation can be:

in,

The length of is Q _ftn , Q _ftn is the number of all subchannels, and

in,

Optionally, wherein the method also includes:

The second communication device indicates the equivalent channel matrix to the first communication device through the second indication information.

{number of upsampling, shaping filter coefficients};

{FTN overlapping layers, shaping filter series}.

Optionally, in order to reduce the complexity of hardware implementation, the realization of the shaping filter is usually a few optional values, which are specified by the protocol and can be expressed by index lookup table;

Optionally, the first communication device may receive second indication information sent by the second communication device, where the second indication information is used to indicate the equivalent channel matrix. The second communication device may indicate the equivalent channel matrix by indicating the first index or the first parameter; wherein, the first index is used to indicate the first parameter in the equivalent channel matrix table, and the first parameter is used to determine The equivalent channel matrix.

Upsampling times;

FTN overlap factor.

Optionally, the instruction information includes:

A first index, where the first index is used to indicate a first parameter in the equivalent channel matrix table, where the first parameter is used to determine the equivalent channel matrix;

first parameter.

Optionally, the second communication device may indicate the equivalent channel matrix by indicating the first index or the first parameter; wherein, the first index is used to indicate the first parameter in the equivalent channel matrix table, and the first parameters are used to determine the equivalent channel matrix.

Upsampling times;

FTN overlap factor.

Optionally, the precoded FTN signal generation parameters may be uniquely determined by any set of parameters below:

{number of upsampling, shaping filter coefficients};

{FTN overlapping layers, shaping filter series}.

Optionally, the method also includes:

The second communication device indicates the precoding mode to the first communication device by using the third indication information.

Optionally, optionally, the first communication device may receive third indication information sent by the second communication device, and the first communication device may determine the current precoding manner based on the third indication information.

Optionally, the second communication device can select different precoding methods (such as different methods of SVD, GMD, and UCD) according to different scenarios, and the first communication device needs to know this information to select the correct equalization matrix. Therefore, the second communication device may send {precoding mode} (third indication information) to the receiver side.

Figure 9 is one of the schematic diagrams of the indication method provided by the embodiment of the present application. As shown in Figure 9, it is a broadcast plus unicast precoding FTN parameter indication method. When the second communication device is a base station, in order to reduce the multi-user Signaling overhead, one implementation form is that the base station broadcasts an optional precoding FTN signal generation parameter table and the precoding method used, and then uses (dedicated) RRC to notify each UE (first communication device) of the specific index.

Optionally, the method also includes:

The second communication device indicates the equalization matrix to the first communication device through the first indication information.

It should be noted that, the data transmission method provided in the embodiment of the present application may be executed by a data transmission device, or a control module in the data transmission device for executing the data transmission method. In the embodiment of the present application, the data transmission device provided in the embodiment of the present application is described by taking the data transmission method performed by the data transmission device as an example.

Figure 13 is one of the schematic structural diagrams of the data transmission device provided by the embodiment of the present application, as shown in Figure 13, including: a first receiving module 1310, and a first processing module 1320; wherein:

The first receiving module 1310 is configured to receive a first signal;

The first processing module 1320 is configured to process the first signal based on an equalization matrix to obtain a target signal;

Optionally, the data transmission device may receive the first signal through the first receiving module 1310; then, based on the equalization matrix determined by the equivalent channel matrix, process the first signal through the first processing module 1320 to obtain the target signal.

Optionally, the device also includes at least one of the following:

A matrix decomposition module, configured for the first communication device to perform matrix decomposition on the equivalent channel matrix to obtain the equalization matrix;

A matrix acquiring module, configured for the first communication to acquire the equalization matrix based on the first indication information sent by the second communication device.

Optionally, the matrix decomposition module is also used for:

Wherein, λ _k is the diagonal element of Λ;

in,

_R2 is the first upper triangular matrix.

Optionally, the matrix decomposition module is also used for:

Wherein, Y ₂ is the first signal, Y ₂ =HX ₂ +N, X ₂ =FS.

Optionally, the matrix decomposition module is also used for:

Optionally, the first processing module is also used for:

Wherein, Y ₄ is the first signal, Y ₄ =HX ₄ +N,

The length of is Q _ftn , Q _ftn is the number of all subchannels, and

in,

Optionally, the device also includes:

The second receiving module is configured to receive second indication information sent by the second communication device, where the second indication information is used to indicate the equivalent channel matrix.

Optionally, the device also includes:

The third receiving module is configured to receive third indication information sent by the second communication device, where the third indication information is used to indicate the precoding mode.

FIG. 14 is the second schematic flow diagram of the data transmission device provided by the embodiment of the present application. As shown in FIG. 14 , it includes: a precoding module 1410, a mapping module 1420, and a transmission module 1430; where:

The precoding module 1410 is configured to precode the first modulation symbol based on the precoding matrix to obtain symbols to be transmitted;

The mapping module 1420 is configured to perform super-Nyquist FTN mapping on symbols to be transmitted to obtain a second signal;

The transmission module 1430 is configured to transmit the second signal;

Optionally, the data transmission device may determine a precoding matrix based on the equivalent channel matrix, and perform precoding on the first modulation symbol through the precoding module 1410 to obtain symbols to be transmitted; and then transmit the second signal through the transmission module 1430 .

Optionally, the device also includes:

A matrix decomposition module, configured to perform matrix decomposition on the equivalent channel matrix to obtain the precoding matrix.

Optionally, the matrix decomposition module is used for:

Wherein, λ _k is the diagonal element of Λ;

Optionally, the device also includes:

A first determining module, configured to determine the equalization matrix Q ₂ ^H based on the precoding matrix;

in,

Optionally, the matrix decomposition module is used for:

Optionally, the device also includes:

The second determination module is used to determine the equivalent channel based on the first time-domain channel matrix corresponding to the physical channel, the second time-domain channel matrix corresponding to the matched filter, and the third time-domain channel matrix corresponding to the shaping filter matrix.

Optionally, the device also includes:

The third determining module is configured to determine the first time-domain channel matrix based on current physical channel quality information.

Optionally, the device also includes:

The fourth determining module is configured to determine the equivalent channel matrix based on the third time-domain channel matrix corresponding to the shaping filter and the second time-domain channel matrix corresponding to the matched filter.

Optionally, the transmission module is used for:

transmitting the second signal on 1+β sub-channels of the physical channel;

Wherein, the β is the roll-off coefficient of the shaping filter.

Optionally, the transmission module is used for:

Optionally, the device also includes:

The first indication module is configured to indicate the equivalent channel matrix to the first communication device through the second indication information.

Optionally, the instruction information includes:

first parameter.

Upsampling times;

FTN overlap factor.

Optionally, the device also includes:

The second indicating module is configured to indicate the precoding mode to the first communication device through third indicating information.

Optionally, the device also includes:

The third indication module is configured to indicate the equalization matrix to the first communication device through the first indication information.

The data transmission device in the embodiment of the present application may be a device, a device with an operating system or an electronic device, or may be a component, an integrated circuit, or a chip in a terminal. The apparatus or electronic equipment may be a mobile terminal or a non-mobile terminal. Exemplarily, the mobile terminal may include but not limited to the types of terminals 11 listed above, and the non-mobile terminal may be a server, a network attached storage (Network Attached Storage, NAS), a personal computer (personal computer, PC), a television ( television, TV), teller machines or self-service machines, etc., are not specifically limited in this embodiment of the present application.

The data transmission device provided by the embodiment of the present application can realize each process realized by the method embodiments in FIG. 4 to FIG. 11 , and achieve the same technical effect. To avoid repetition, details are not repeated here.

Optionally, FIG. 15 is a schematic structural diagram of a communication device provided in an embodiment of the present application. As shown in Figure 15, the embodiment of the present application also provides a communication device 1500, including a processor 1501, a memory 1502, and programs or instructions stored in the memory 1502 and operable on the processor 1501, for example, the communication When the device 1500 is a terminal, when the program or instruction is executed by the processor 1501, each process of the above data transmission method embodiment can be realized, and the same technical effect can be achieved. When the communication device 1500 is a network-side device, when the program or instruction is executed by the processor 1501, each process of the above data transmission method embodiment can be achieved, and the same technical effect can be achieved. To avoid repetition, details are not repeated here.

Optionally, the first communication device may be a terminal, and the second communication device may be a network side device.

Optionally, the first communication device may be a network side device, and the second communication device may be a terminal.

The embodiment of the present application also provides a communication device, including a processor and a communication interface, where the communication interface is used to: receive a first signal; the processor is used to: process the first signal based on an equalization matrix to obtain a target signal; wherein , the equalization matrix is determined based on an equivalent channel matrix. This communication device embodiment corresponds to the communication device side method embodiment above, and each implementation process and implementation mode of the above method embodiment can be applied to this communication device embodiment, and can achieve the same technical effect. Specifically, FIG. 16 is one of the schematic diagrams of the hardware structure of the communication device implementing the embodiment of the present application.

The communication device 1600 includes, but is not limited to: a radio frequency unit 1601, a network module 1602, an audio output unit 1603, an input unit 1604, a sensor 1605, a display unit 1606, a user input unit 1607, an interface unit 1608, a memory 1609, and a processor 1610, etc. at least some of the components.

Those skilled in the art can understand that the communication device 1600 can also include a power supply (such as a battery) for supplying power to various components, and the power supply can be logically connected to the processor 1610 through the power management system, so that the management of charging, discharging, and function can be realized through the power management system. Consumption management and other functions. The structure of the communication device shown in FIG. 16 does not constitute a limitation to the communication device. The communication device may include more or fewer components than shown in the figure, or combine some components, or arrange different components, which will not be repeated here. .

It should be understood that, in the embodiment of the present application, the input unit 1604 may include a graphics processor (Graphics Processing Unit, GPU) 16041 and a microphone 16042, and the graphics processor 16041 is used for the image capture device ( Such as the image data of the still picture or video obtained by the camera) for processing. The display unit 1606 may include a display panel 16061, and the display panel 16061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 1607 includes a touch panel 16071 and other input devices 16072 . Touch panel 16071, also called touch screen. The touch panel 16071 may include two parts: a touch detection device and a touch controller. Other input devices 16072 may include, but are not limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be repeated here.

In the embodiment of the present application, the radio frequency unit 1601 receives the downlink data from the network side device, and processes it to the processor 1610; in addition, sends the uplink data to the network side device. Generally, the radio frequency unit 1601 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like.

The memory 1609 can be used to store software programs or instructions as well as various data. The memory 1609 may mainly include a program or instruction storage area and a data storage area, wherein the program or instruction storage area may store an operating system, an application program or instructions required by at least one function (such as a sound playback function, an image playback function, etc.) and the like. In addition, the memory 1609 may include a high-speed random access memory, and may also include a nonvolatile memory, wherein the nonvolatile memory may be a read-only memory (Read-Only Memory, ROM), a programmable read-only memory (Programmable ROM) , PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electrically erasable programmable read-only memory (Electrically EPROM, EEPROM) or flash memory. For example at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device.

The processor 1610 may include one or more processing units; optionally, the processor 1610 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, application programs or instructions, etc., Modem processors mainly handle wireless communications, such as baseband processors. It can be understood that the foregoing modem processor may not be integrated into the processor 1610 .

Wherein, the processor 1610 is used for:

receiving the first signal;

Optionally, the processor 1610 is also used for at least one of the following:

Optionally, the processor 1610 is also used for:

Wherein, λ _k is the diagonal element of Λ;

in,

_R2 is the first upper triangular matrix.

Optionally, the processor 1610 is also used for:

Wherein, Y ₂ is the first signal, Y ₂ =HX ₂ +N, X ₂ =FS.

Optionally, the processor 1610 is also used for:

Wherein, Y ₄ is the first signal, Y ₄ =HX ₄ +N,

The length of is Q _ftn , Q _ftn is the number of all subchannels, and

in,

Optionally, the processor 1610 is also used for:

The embodiment of the present application also provides a network side device, including a processor and a communication interface, and the processor is used for:

performing super-Nyquist FTN mapping on symbols to be transmitted to obtain a second signal;

Communication interface for:

Transmit the second signal; wherein, the precoding matrix is determined based on an equivalent channel matrix. The network-side device embodiment corresponds to the above-mentioned network-side device method embodiment, and each implementation process and implementation mode of the above-mentioned method embodiment can be applied to this network-side device embodiment, and can achieve the same technical effect.

Specifically, the embodiment of the present application also provides a communication device. FIG. 17 is the second schematic diagram of the hardware structure of the communication device implementing the embodiment of the present application. As shown in FIG. 17 , the network device 1700 includes: an antenna 1701 , a radio frequency device 1702 , and a baseband device 1703 . The antenna 1701 is connected to the radio frequency device 1702 . In the uplink direction, the radio frequency device 1702 receives information through the antenna 1701, and sends the received information to the baseband device 1703 for processing. In the downlink direction, the baseband device 1703 processes the information to be sent and sends it to the radio frequency device 1702 , and the radio frequency device 1702 processes the received information and sends it out through the antenna 1701 .

The foregoing frequency band processing apparatus may be located in the baseband apparatus 1703 , and the method performed by the communication device in the above embodiments may be implemented in the baseband apparatus 1703 , and the baseband apparatus 1703 includes a processor 1704 and a memory 1705 .

The baseband device 1703 may include, for example, at least one baseband board, and the baseband board is provided with a plurality of chips, as shown in FIG. The network device operations shown in the above method embodiments.

The baseband device 1703 may further include a network interface 1706, configured to exchange information with the radio frequency device 1702, such as a common public radio interface (common public radio interface, CPRI for short).

Specifically, the communication device in the embodiment of the present invention also includes: instructions or programs stored in the memory 1705 and operable on the processor 1704, and the processor 1704 calls the instructions or programs in the memory 1705 to execute the modules shown in FIG. 14 method, and achieve the same technical effect, in order to avoid repetition, it is not repeated here.

Optionally, processor 1704 is used for:

transmitting the second signal;

Optionally, the processor 1704 is also used for:

Wherein, λ _k is the diagonal element of Λ;

Optionally, the processor 1704 is also used for:

in,

_R2 is the first upper triangular matrix.

Optionally, the processor 1704 is also used for:

Wherein, the β is the roll-off coefficient of the shaping filter.

Optionally, the processor 1704 is also used for:

Optionally, the instruction information includes:

first parameter.

Upsampling times;

FTN overlap factor.

Optionally, the processor 1704 is also used for:

The embodiment of the present application also provides a readable storage medium, the readable storage medium stores a program or an instruction, and when the program or instruction is executed by a processor, each process of the above data transmission method embodiment is realized, and the same To avoid repetition, the technical effects will not be repeated here.

Wherein, the processor is the processor in the communication device described in the foregoing embodiments. The readable storage medium includes computer readable storage medium, such as computer read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk, etc.

The embodiment of the present application further provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the above data transmission method embodiment Each process can achieve the same technical effect, so in order to avoid repetition, it will not be repeated here.

It should be understood that the chip mentioned in the embodiment of the present application may also be called a system-on-chip, a system-on-chip, a system-on-a-chip, or a system-on-a-chip.

It should be noted that, in this document, the term "comprising", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions are performed, for example, the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the technical solution of the present application can be embodied in the form of computer software products, which are stored in a storage medium (such as ROM/RAM, magnetic disk, etc.) , CD-ROM), including several instructions to enable a communication device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementations. The above-mentioned specific implementations are only illustrative and not restrictive. Those of ordinary skill in the art will Under the inspiration of this application, without departing from the purpose of this application and the scope of protection of the claims, many forms can also be made, all of which belong to the protection of this application.

Claims

A data transmission method comprising:

the first communication device receives the first signal;

The first communication device processes the first signal based on an equalization matrix to obtain a target signal;

Wherein, the equalization matrix is determined based on an equivalent channel matrix.
The data transmission method according to claim 1, wherein the method further comprises at least one of the following:

The first communication device performs matrix decomposition on the equivalent channel matrix to obtain the equalization matrix;

The first communication obtains the equalization matrix based on the first indication information sent by the second communication device.
The data transmission method according to claim 2, wherein the first communication device performs matrix decomposition on the equivalent channel matrix to obtain the equalization matrix, comprising:

When it is determined that the precoding mode is the geometric mean decomposition (GMD) mode, the first communication device performs matrix decomposition on the equivalent channel matrix based on a GMD matrix decomposition method to obtain the equalization matrix.
The data transmission method according to claim 3, wherein the first communication device performs matrix decomposition on the equivalent channel matrix based on a GMD matrix decomposition method to obtain the equalization matrix, including:

The first communication device performs matrix decomposition on the equivalent channel matrix Heq1 to obtain Heq1 =Q 1 R 1 P H ;

Wherein, P is a precoding matrix, R 1 is a first intermediate matrix, and Q 1 H is the equalization matrix.
The data transmission method according to claim 4, wherein the first communication device processes the first signal based on an equalization matrix to obtain a target signal, comprising:

The first communication device determines, based on the equalization matrix Q 1 H , that the equalized first signal is Q 1 H Y 1 =R 1 S+Q 1 H N;

The first communication device determines, based on the equalized first signal, that the target signal is

Wherein, Y 1 is the first signal, Y 1 =HX 1 +N, N is noise, X 1 is the second signal sent by the second communication device, X 1 =PS, S is the first modulation before precoding Symbol, H is the first time-domain channel matrix corresponding to the physical channel.
The data transmission method according to claim 2, wherein the first communication device performs matrix decomposition on the equivalent channel matrix to obtain the equalization matrix, comprising:

In a case where it is determined that the precoding mode is a uniform channel decomposition (UCD) mode, the first communication device performs matrix decomposition on the equivalent channel matrix based on a UCD matrix decomposition method to obtain the equalization matrix.
The data transmission method according to claim 6, wherein the first communication device performs matrix decomposition on the equivalent channel matrix based on a UCD matrix decomposition method to obtain the equalization matrix, including:

The first communication device performs matrix decomposition on the equivalent channel matrix Heq2 to obtain Heq2 = UΛV H , where Λ is a power allocation correlation matrix, V is a unitary matrix, and U is a second intermediate matrix;

The first communication device determines a first power allocation matrix Φ=diag{φ 1 ,φ 2 ,...,φ K } based on the power allocation correlation matrix Λ, where the diagonal elements
Wherein, λ k is the diagonal element of Λ;

The first communication device determines a precoding matrix based on the unitary matrix, the first power allocation matrix and the semi-unitary matrix Ω

The first communication device determines the equalization matrix Q 2 H based on the precoding matrix;

in,
R2 is the first upper triangular matrix.
The data transmission method according to claim 7, wherein the first communication device processes the first signal based on an equalization matrix to obtain a target signal, comprising:

The first communication device determines, based on the equalization matrix Q 2 H , that the equalized first signal is Q 2 H =R 2 S+Q 2 H N;

The first communication device determines, based on the equalized first signal, that the target signal is

Wherein, Y 2 is the first signal, Y 2 =HX 2 +N, X 2 =FS.
The data transmission method according to claim 2, wherein the first communication device performs matrix decomposition on the equivalent channel matrix to obtain the equalization matrix, comprising:

In a case where it is determined that the precoding mode is a singular value decomposition (SVD) mode, the first communication device performs matrix decomposition on the equivalent channel matrix based on an SVD matrix decomposition method to obtain the equalization matrix.
The data transmission method according to claim 9, wherein the first communication device performs matrix decomposition on the equivalent channel matrix based on the SVD matrix decomposition method to obtain the equalization matrix, comprising:

The first communication device performs matrix decomposition on the equivalent channel matrix Heq3 to obtain Heq3 =Q 3 MW H ;

Wherein, W is a precoding matrix, M is a diagonal matrix, and Q 3 H is the equalization matrix.
The data transmission method according to claim 10, wherein the first communication device processes the first signal based on an equalization matrix to obtain a target signal, comprising:

The first communication device determines, based on the equalization matrix Q 3 H , that the equalized first signal is Q 3 H Y 3 =MΣ 1 S+Q 3 H N;

The first communication device determines, based on the equalized first signal, that the target signal is

Wherein, Y 3 is the first signal, Y 3 =HX 3 +N, X 3 =FS, Σ 1 is the second power allocation matrix, and the second power allocation matrix is indicated by the second communication device to the first communication equipment.
The data transmission method according to claim 9 or 10, wherein the first communication device processes the first signal based on an equalization matrix to obtain a target signal, comprising:

The first communication device determines, based on the equalization matrix Q 3 H , that the equalized first signal is

The first communication device determines, based on the equalized first signal, that the target signal is

Wherein, Y 4 is the first signal, Y 4 =HX 4 +N,
Σ 2 is a third power allocation matrix, the third power allocation matrix is indicated by the second communication device to the first communication device, wherein,
The length of is Q ftn , Q ftn is the number of all subchannels, and
in,
is the number of sub-channels actually used for transmission, and K is the FTN overlap coefficient.
The data transmission method according to any one of claims 1-11, wherein the method further comprises:

receiving second indication information sent by the second communication device, where the second indication information is used to indicate the equivalent channel matrix.
The data transmission method according to any one of claims 3-11, wherein the method further comprises:

receiving third indication information sent by the second communication device, where the third indication information is used to indicate the precoding manner.
A data transmission method, comprising:

The second communication device precodes the first modulation symbol based on the precoding matrix to obtain symbols to be transmitted;

The second communication device performs super-Nyquist FTN mapping on symbols to be transmitted to obtain a second signal;

the second communication device transmits the second signal;

Wherein, the precoding matrix is determined based on an equivalent channel matrix.
The data transmission method according to claim 15, wherein the method further comprises:

The second communication device performs matrix decomposition on the equivalent channel matrix to obtain the precoding matrix.
The data transmission method according to claim 16, wherein the second communication device performs matrix decomposition on the equivalent channel matrix to obtain the precoding matrix, comprising:

When the precoding mode is the GMD mode, the second communication device performs matrix decomposition on the equivalent channel matrix based on a GMD matrix decomposition method to obtain the precoding matrix.
The data transmission method according to claim 17, wherein the second communication device performs matrix decomposition on the equivalent channel matrix based on a GMD matrix decomposition method to obtain the precoding matrix, including:

The first communication device performs matrix decomposition on the equivalent channel matrix Heq1 to obtain Heq1 =Q 1 R 1 P H ;

Wherein, P is the precoding matrix, R 1 is the first intermediate matrix, and Q 1 H is the equalization matrix.
The data transmission method according to claim 15, wherein the second communication device performs matrix decomposition on the equivalent channel matrix to obtain the precoding matrix, comprising:

When it is determined that the precoding mode is the UCD mode, the second communication device performs matrix decomposition on the equivalent channel matrix based on a UCD matrix decomposition method to obtain the precoding matrix.
The data transmission method according to claim 19, wherein the second communication device performs matrix decomposition on the equivalent channel matrix based on a UCD matrix decomposition method to obtain the precoding matrix, comprising:

The first communication device performs matrix decomposition on the equivalent channel matrix Heq2 to obtain Heq2 = UΛV H , where Λ is a power allocation correlation matrix, V is a unitary matrix, and U is a second intermediate matrix;

The first communication device determines a first power allocation matrix Φ=diag{φ 1 ,φ 2 ,...,φ K } based on the power allocation correlation matrix Λ, where the diagonal elements
Wherein, λ k is the diagonal element of Λ;

The first communication device determines a precoding matrix based on the unitary matrix, the first power allocation matrix and the semi-unitary matrix Ω
The data transmission method according to claim 20, wherein the method further comprises:

The first communication device determines the equalization matrix Q 2 H based on the precoding matrix;

in,
R2 is the first upper triangular matrix.
The data transmission method according to claim 16, wherein the second communication device performs matrix decomposition on the equivalent channel matrix to obtain the precoding matrix, comprising:

When it is determined that the precoding mode is the SVD mode, the second communication device performs matrix decomposition on the equivalent channel matrix based on the SVD matrix decomposition method to obtain the precoding matrix.
The data transmission method according to claim 22, wherein the second communication device performs matrix decomposition on the equivalent channel matrix based on the SVD matrix decomposition method to obtain the precoding matrix, comprising:

The second communication device performs matrix decomposition on the equivalent channel matrix Heq3 to obtain Heq3 =Q 3 MW H ;

Wherein, W is a precoding matrix, M is a diagonal matrix, and Q 3 H is the equalization matrix.
The data transmission method according to any one of claims 15-23, wherein the method further comprises:

The second communication device determines the equivalent channel matrix based on the first time-domain channel matrix corresponding to the physical channel, the second time-domain channel matrix corresponding to the matched filter, and the third time-domain channel matrix corresponding to the shaping filter .
The data transmission method according to claim 24, wherein the equivalent channel matrix H eq =GHGH H ; wherein G is the third time-domain channel matrix, G H is the second time-domain channel matrix, H is the first time-domain channel matrix.
The data transmission method according to claim 25, wherein the method further comprises:

Determine the first time-domain channel matrix based on current physical channel quality information.
The data transmission method according to any one of claims 15-23, wherein the method further comprises:

The second communication device determines the equivalent channel matrix based on the third time-domain channel matrix corresponding to the shaping filter and the second time-domain channel matrix corresponding to the matched filter.
The data transmission method according to claim 27, wherein the equivalent channel matrix Heq =GG H ; wherein G H is the second time-domain channel matrix, and G is the third time-domain channel matrix.
The data transmission method according to claim 28, wherein said second communication device transmitting said second signal comprises:

The second communication device transmits the second signal on 1+β sub-channels of the physical channel;

Wherein, the β is the roll-off coefficient of the shaping filter.
The data transmission method according to claim 29, wherein the second communication device transmits the second signal on 1+β sub-channels of the physical channel, comprising:

Based on the third power allocation matrix, determine the second signal mapped to each subchannel in the 1+β subchannels.
The data transmission method according to any one of claims 15-23 or 25 or 26 or any one of 28-30, wherein the method further comprises:

The second communication device indicates the equivalent channel matrix to the first communication device through the second indication information.
The data transmission method according to claim 31, wherein the indication information includes:

A first index, where the first index is used to indicate a first parameter in the equivalent channel matrix table, where the first parameter is used to determine the equivalent channel matrix;

first parameter.
The data transmission method according to claim 32, wherein the first parameter comprises shaping filter coefficients and at least one of the following:

Upsampling times;

FTN overlap factor.
The data transmission method according to any one of claims 17-23 or 25 or 26 or any one of 28-30, wherein the method further comprises:

The second communication device indicates the precoding mode to the first communication device by using the third indication information.
The data transmission method according to claim 18 or 21 or 23, wherein the method further comprises:

The second communication device indicates the equalization matrix to the first communication device through the first indication information.
A data transmission device, comprising:

a first receiving module, configured to receive a first signal;

A first processing module, configured to process the first signal based on an equalization matrix to obtain a target signal;

Wherein, the equalization matrix is determined based on an equivalent channel matrix.
The data transmission device according to claim 36, wherein the device further comprises at least one of the following:

A matrix decomposition module, configured for the first communication device to perform matrix decomposition on the equivalent channel matrix to obtain the equalization matrix;

A matrix acquiring module, configured for the first communication to acquire the equalization matrix based on the first indication information sent by the second communication device.
The data transmission device according to claim 37, wherein the matrix decomposition module is also used for:

When it is determined that the precoding mode is the GMD mode, the first communication device performs matrix decomposition on the equivalent channel matrix based on a GMD matrix decomposition method to obtain the equalization matrix.
The data transmission device according to claim 37, wherein the matrix decomposition module is also used for:

When it is determined that the precoding mode is the UCD mode, the first communication device performs matrix decomposition on the equivalent channel matrix based on a UCD matrix decomposition method to obtain the equalization matrix.
The data transmission device according to claim 37, wherein the matrix decomposition module is also used for:

When it is determined that the precoding mode is the SVD mode, the first communication device performs matrix decomposition on the equivalent channel matrix based on the SVD matrix decomposition method to obtain the equalization matrix.
A data transmission device, comprising:

A precoding module, configured to precode the first modulation symbol based on the precoding matrix to obtain symbols to be transmitted;

A mapping module, configured to perform super-Nyquist FTN mapping on symbols to be transmitted to obtain a second signal;

a transmission module, configured to transmit the second signal;

Wherein, the precoding matrix is determined based on an equivalent channel matrix.
The data transmission device according to claim 41, wherein said device further comprises:

A matrix decomposition module, configured to perform matrix decomposition on the equivalent channel matrix to obtain the precoding matrix.
A communication device, comprising a processor, a memory, and a program or instruction stored in the memory and operable on the processor, when the program or instruction is executed by the processor, claims 1 to 14 are implemented The steps of any one of the data transmission methods.
A communication device, comprising a processor, a memory, and a program or instruction stored on the memory and operable on the processor, when the program or instruction is executed by the processor, claims 15 to 35 are implemented The steps of any one of the data transmission methods.
A readable storage medium, storing programs or instructions on the readable storage medium, and implementing the steps of the data transmission method according to any one of claims 1 to 14 when the programs or instructions are executed by a processor, or implementing The steps of the data transmission method as claimed in any one of claims 15 to 35.