CN117278081A - Communication method and device - Google Patents

Abstract

The application provides a communication method and a communication device, which are used for improving the demodulation performance of a receiving end while realizing the signal demodulation process of the receiving end. In the method, a receiving end receives first data; the receiving end receives a first demodulation reference signal and a second demodulation reference signal, wherein the first demodulation reference signal and the second demodulation reference signal are used for demodulating the first data; the receiving end demodulates the first data based on the first demodulation reference signal and the second demodulation reference signal. In other words, the receiving end receives the first demodulation reference signal and the second demodulation reference signal to obtain demodulation information in the process of demodulating the first data, and demodulates the received first data based on the demodulation information to realize a signal demodulation process of the receiving end.

Description

A communication method and device

Technical Field

The present application relates to the field of wireless technology, and in particular to a communication method and device.

Background Art

In a wireless communication system, the signal sent by the transmitter to carry data needs to be modulated, and the signal received by the corresponding receiver is a modulated signal. Accordingly, after receiving the signal, the receiver usually needs to demodulate the received signal to obtain the data carried by the signal.

However, for the receiving end, how to implement the signal demodulation process and improve the demodulation performance is a technical problem that needs to be solved urgently.

Summary of the invention

The present application provides a communication method and a communication device for realizing a signal demodulation process at a receiving end while improving the demodulation performance of the receiving end.

In a first aspect, the present application provides a communication method, which is executed by a receiving end, or the method is executed by some components in the receiving end (such as a processor, a chip or a chip system, etc.), or the method can also be implemented by a logic module or software that can realize all or part of the functions of the receiving end. In the first aspect and its possible implementation, the communication method is described as being executed by the receiving end. In the method, the receiving end receives first data; the receiving end receives a first demodulation reference signal and a second demodulation reference signal, and the first demodulation reference signal and the second demodulation reference signal are used to demodulate the first data; the receiving end demodulates the first data based on the first demodulation reference signal and the second demodulation reference signal.

Based on the above technical solution, the first demodulation reference signal and the second demodulation reference signal received by the receiving end are used to demodulate the first data, so that after the receiving end receives the first data, the receiving end demodulates the first data based on the first demodulation reference signal and the second demodulation reference signal. In other words, in the process of demodulating the first data by the receiving end, the receiving end receives the first demodulation reference signal and the second demodulation reference signal to obtain demodulation information, and demodulates the received first data based on the demodulation information to implement the signal demodulation process of the receiving end.

In addition, compared to the implementation method in which the receiving end performs the signal demodulation process based only on one demodulation reference signal, in the above technical solution, the first demodulation reference signal and the second demodulation reference signal received by the receiving end can carry more demodulation information, so that the receiving end can demodulate the received data based on more demodulation information to improve the demodulation performance.

It should be noted that the receiving end involved in the present application may be a network device or a terminal device.

Optionally, in the present application, demodulation information can be expressed as a demodulation matrix, a detection matrix, demodulation matrix information, etc.

In a possible implementation manner of the first aspect, the first data is carried in a first signal, and the first signal is obtained based on the first data and a conjugate of the first data.

Based on the above technical solution, the first data received by the receiving end is carried in the first signal, and the first signal is obtained based on the first data and the conjugate of the first data. In other words, the first signal is obtained based on the wide linear transformation of the first data, so that the first signal received by the receiving end supports the scenario of wide linear precoding.

It should be understood that the first data includes a real part and an imaginary part, and the conjugate of the first data also includes a real part and an imaginary part, wherein the real part of the first data is the same as the real part of the conjugate of the first data, and the imaginary part of the first data is the reciprocal of the imaginary part of the conjugate of the first data.

In addition, in the present application, the first signal is obtained based on a wide linear transformation of the first data, which can also be expressed as the first signal is obtained based on a linear transformation of the first data and a conjugate linear transformation of the first data.

In a possible implementation manner of the first aspect, the first signal satisfies:

x＝T ₁ b+T ₂ b ^* ；

Wherein, x represents the first signal, b represents the first data, b ^* represents the conjugate of the first data, _T1 represents the precoding matrix of the first data, and _T2 represents the conjugate precoding matrix of the first data.

Optionally, the first signal may also be implemented in other ways. For example, the first signal satisfies:

Among them, τ and θ are two parameters to measure x, representing the non-circular coefficient and the rotation angle respectively, e is a natural constant, and j is

In a possible implementation manner of the first aspect, the number of layers of the first data is m, where m is a natural number greater than or equal to 1; wherein the number of ports of the first demodulation reference signal and the second demodulation reference signal is m.

Based on the above technical solution, the number of layers of the first data, the number of ports of the first demodulation reference signal, and the number of ports of the second demodulation reference signal are all m. That is, the number of layers of the first data, the number of ports of the first demodulation reference signal, and the number of ports of the second demodulation reference signal are all the same, which facilitates the receiving end to demodulate the data of the same number of layers based on the demodulation reference signal with the same number of ports, so as to improve the success rate of data demodulation.

In the present application, the number of layers of the first data may also be referred to as the number of streams of the first data.

Optionally, the number of ports of the first demodulation reference signal is less than m, and/or the number of ports of the second demodulation reference signal is less than m. For example, the number of first data layers is 2, and the number of ports of the first demodulation reference signal is 1. In this case, it is assumed that the demodulation reference signal of port 1 corresponds to the first data carrying 2 layers, and the precoding matrix of the transmitting end is implicitly constrained, such as using the same precoding for two layers of data. This implementation method can reduce the overhead of the reference signal.

In a possible implementation manner of the first aspect, the first data satisfies a non-regular Gaussian signaling characteristic, and/or the first signal satisfies a non-regular Gaussian signaling characteristic.

Based on the above technical solution, the signal received by the receiving end (including the first data and/or the first signal) satisfies the non-regular Gaussian signaling characteristics, that is, the signal received by the receiving end no longer requires the I-way signal and the Q-way signal (i.e., the in-phase signal and the quadrature signal) to be independent and identically distributed, or the pseudo-covariance matrix of the signal received by the receiving end is not zero. Thus, introducing more signal degrees of freedom can achieve an optimized design for combating multi-user interference and matching spatial channels, so that the above technical solution can be applied to a multi-user multiple input and multiple output (MU-MIMO) system.

In a possible implementation manner of the first aspect, the first demodulation reference signal carries first demodulation information, the second demodulation reference signal carries second demodulation information, and the first demodulation information and the second demodulation information are used to obtain an estimate of the first data.

Based on the above technical solution, the first demodulation reference signal and the second demodulation reference signal received by the receiving end are respectively used to carry different demodulation information, so that the receiving end can demodulate the first data based on the different demodulation information to obtain an estimate of the first data.

It should be understood that the estimation of the first data refers to the data received by the receiving device and recovered locally after the first data sent by the transmitting end is transmitted through the channel. In other words, the receiving end determines the estimation of the first data as the first data sent by the transmitting end in order to obtain the information carried by the first data. In addition, due to factors such as inevitable signal interference and signal attenuation in the wireless communication system, it is possible that the estimation of the first data obtained by the receiving end is not completely identical to the first data sent by the transmitting end.

In a possible implementation manner of the first aspect, the first demodulation reference signal is obtained by precoding based on a first precoding matrix, and the first precoding matrix is associated with the first demodulation information; the second demodulation reference signal is obtained by precoding based on a second precoding matrix, and the second precoding matrix is associated with the second demodulation information.

Based on the above technical solution, the first demodulation reference signal and the second demodulation reference signal received by the receiving end are precoded by different precoding matrices respectively, so that the receiving end determines the associated demodulation information based on the different precoding matrices.

In addition, in the MU-MIMO system, the receiving end does not need to demodulate the demodulation reference signals of other users (or users corresponding to other receiving ends). The receiving end can demodulate the received first data based on the received first demodulation reference signal and the second demodulation reference signal, thereby reducing the detection complexity of the receiving end.

In a possible implementation of the first aspect,

The first precoding matrix associated with the first demodulation information includes:

Wherein, ^F1 represents the first precoding matrix, H ⁺ is the inverse matrix or generalized inverse matrix of H, H represents the channel information of the channel between the transmitting end and the receiving end, is the conjugate transpose of R ₁ , where R ₁ represents the first demodulated information;

The second precoding matrix associated with the second demodulation information includes:

Wherein, ^F2 represents the second precoding matrix, is the conjugate transpose of R ₂ , and R ₂ represents the second demodulated information.

In a possible implementation manner of the first aspect, the first precoding matrix is not equal to a precoding matrix of the first data, and/or the second precoding matrix is not equal to a conjugate precoding matrix of the first data.

Based on the above technical solution, in a MU-MIMO system, the first demodulation information and the second demodulation information required for multi-user detection at the receiving end are related to both the precoding matrix of the data (e.g., the first data) of the receiving end and the precoding matrix of the data of other receiving ends (or users corresponding to other receiving ends) other than the receiving end. This makes the first precoding matrix used for precoding the first demodulation information not equal to the precoding matrix used for precoding the first data, and/or the second precoding matrix used for precoding the second demodulation information is not equal to the precoding matrix used for precoding the conjugate of the first data, so that the solution can be applied to the data transmission process in the MU-MIMO system.

The second aspect of the present application provides a communication method, which is executed by a transmitting end, or the method is executed by some components in the transmitting end (such as a processor, a chip or a chip system, etc.), or the method can also be implemented by a logic module or software that can realize all or part of the functions of the transmitting end. In the second aspect and its possible implementation, the communication method is described as being executed by the transmitting end. In this method, the transmitting end sends first data; the transmitting end sends a first demodulation reference signal and a second demodulation reference signal, and the first demodulation reference signal and the second demodulation reference signal are used to demodulate the first data.

Based on the above technical solution, the first demodulation reference signal and the second demodulation reference signal sent by the transmitting end are used to demodulate the first data, so that after the receiving end receives the first data, the receiving end demodulates the first data based on the first demodulation reference signal and the second demodulation reference signal. In other words, in the process of demodulating the first data by the receiving end, the receiving end receives the first demodulation reference signal and the second demodulation reference signal to obtain demodulation information, and demodulates the received first data based on the demodulation information to implement the signal demodulation process of the receiving end.

In addition, compared to the implementation method in which the receiving end performs the signal demodulation process based only on one demodulation reference signal, in the above technical solution, the first demodulation reference signal and the second demodulation reference signal received by the receiving end can carry more demodulation information, so that the receiving end can demodulate the received data based on more demodulation information to improve the demodulation performance.

It should be noted that the sending end involved in the present application can be a network device or a terminal device.

In a possible implementation manner of the second aspect, the first data is carried in a first signal, and the first signal is obtained based on the first data and a conjugate of the first data.

Based on the above technical solution, the first data sent by the transmitter is carried in the first signal, and the first signal is obtained based on the first data and the conjugate of the first data. In other words, the first signal is obtained based on the wide linear transformation of the first data, so that the first signal sent by the transmitter supports the scenario of wide linear precoding.

It should be understood that the first data includes a real part and an imaginary part, and the conjugate of the first data also includes a real part and an imaginary part, wherein the real part of the first data is the same as the real part of the conjugate of the first data, and the imaginary part of the first data is the reciprocal of the imaginary part of the conjugate of the first data.

In addition, in the present application, the first signal is obtained based on a wide linear transformation of the first data, which can also be expressed as the first signal is obtained based on a linear transformation of the first data and a conjugate linear transformation of the first data.

In a possible implementation manner of the second aspect, the first signal satisfies:

x＝T ₁ b+T ₂ b ^* ；

Wherein, x represents the first signal, b represents the first data, b ^* represents the conjugate of the first data, _T1 represents the precoding matrix of the first data, and _T2 represents the conjugate precoding matrix of the first data.

In a possible implementation manner of the second aspect, the number of layers of the first data is m, where m is a natural number greater than or equal to 1; wherein the number of ports of the first demodulation reference signal and the second demodulation reference signal is m.

Based on the above technical solution, the number of layers of the first data, the number of ports of the first demodulation reference signal, and the number of ports of the second demodulation reference signal are all m. That is, the number of layers of the first data, the number of ports of the first demodulation reference signal, and the number of ports of the second demodulation reference signal are all the same, which facilitates the receiving end to demodulate the data of the same number of layers based on the demodulation reference signal with the same number of ports, so as to improve the success rate of data demodulation.

In the present application, the number of layers of the first data may also be referred to as the number of streams of the first data.

Optionally, the number of ports of the first demodulation reference signal is less than m, and/or the number of ports of the second demodulation reference signal is less than m.

In a possible implementation manner of the second aspect, the first data satisfies a non-regular Gaussian signaling characteristic, and/or the first signal satisfies a non-regular Gaussian signaling characteristic.

Based on the above technical solution, the signal received by the receiving end (including the first data and/or the first signal) satisfies the non-regular Gaussian signaling characteristics, that is, the signal received by the receiving end no longer requires the I-way signal and the Q-way signal (i.e., the in-phase signal and the quadrature signal) to be independent and identically distributed, or the pseudo-covariance matrix of the signal received by the receiving end is not zero. Thus, introducing more signal degrees of freedom can achieve an optimized design for combating multi-user interference and matching spatial channels, so that the above technical solution can be applied to a multi-user multiple input and multiple output (MU-MIMO) system.

In a possible implementation manner of the second aspect, the first demodulation reference signal carries first demodulation information, the second demodulation reference signal carries second demodulation information, and the first demodulation information and the second demodulation information are used to obtain an estimate of the first data.

Based on the above technical solution, the first demodulation reference signal and the second demodulation reference signal sent by the transmitting end are respectively used to carry different demodulation information, so that the receiving end can demodulate the first data based on the different demodulation information to obtain an estimate of the first data.

It should be understood that the estimation of the first data refers to the data received by the receiving device and recovered locally after the first data sent by the transmitting end is transmitted through the channel. In other words, the receiving end determines the estimation of the first data as the first data sent by the transmitting end in order to obtain the information carried by the first data. In addition, due to factors such as inevitable signal interference and signal attenuation in the wireless communication system, it is possible that the estimation of the first data obtained by the receiving end is not completely identical to the first data sent by the transmitting end.

In a possible implementation manner of the second aspect, the first demodulation reference signal is obtained by precoding based on a first precoding matrix, and the first precoding matrix is associated with the first demodulation information; the second demodulation reference signal is obtained by precoding based on a second precoding matrix, and the second precoding matrix is associated with the second demodulation information.

Based on the above technical solution, the first demodulation reference signal and the second demodulation reference signal sent by the transmitting end are precoded by different precoding matrices respectively, so that after the receiving end receives the first demodulation reference signal and the second demodulation reference signal, the receiving end determines the associated demodulation information based on the different precoding matrices.

In addition, in the MU-MIMO system, the receiving end does not need to demodulate the demodulation reference signals of other users (or users corresponding to other receiving ends). The receiving end can demodulate the received first data based on the received first demodulation reference signal and the second demodulation reference signal, thereby reducing the detection complexity of the receiving end.

In a possible implementation manner of the second aspect,

The first precoding matrix associated with the first demodulation information includes:

Wherein, ^F1 represents the first precoding matrix, H ⁺ is the inverse matrix or generalized inverse matrix of H, H represents the channel information of the channel between the transmitting end and the receiving end, is the conjugate transpose of R ₁ , where R ₁ represents the first demodulated information;

The second precoding matrix associated with the second demodulation information includes:

Wherein, ^F2 represents the second precoding matrix, is the conjugate transpose of R ₂ , and R ₂ represents the second demodulated information.

In a possible implementation manner of the second aspect,

The first precoding matrix is not equal to the precoding matrix of the first data, and/or the second precoding matrix is not equal to the conjugate precoding matrix of the first data.

Based on the above technical solution, in a MU-MIMO system, the first demodulation information and the second demodulation information required for multi-user detection at the receiving end are related to both the precoding matrix of the data (e.g., the first data) of the receiving end and the precoding matrix of the data of other receiving ends (or users corresponding to other receiving ends) other than the receiving end. This makes the first precoding matrix used for precoding the first demodulation information not equal to the precoding matrix used for precoding the first data, and/or the second precoding matrix used for precoding the second demodulation information is not equal to the precoding matrix used for precoding the conjugate of the first data, so that the solution can be applied to the data transmission process in the MU-MIMO system.

The third aspect of the present application provides a communication device, which can implement the method in the first aspect or any possible implementation of the first aspect. The device includes corresponding units or modules for executing the above method. The units or modules included in the device can be implemented by software and/or hardware. For example, the device can be a receiving end, or the device can be a component in the receiving end (such as a processor, a chip or a chip system, etc.), or the device can also be a logical module or software that can implement all or part of the functions of the receiving end.

Wherein, the device comprises a transceiver unit and a processing unit;

The transceiver unit is used to receive first data;

The transceiver unit is also used to receive a first demodulation reference signal and a second demodulation reference signal, where the first demodulation reference signal and the second demodulation reference signal are used to demodulate the first data;

The processing unit is used for demodulating the first data based on the first demodulation reference signal and the second demodulation reference signal.

In a possible implementation manner of the third aspect,

The first data is carried in a first signal, and the first signal is obtained based on the first data and a conjugate of the first data. In a possible implementation of the third aspect, the first signal satisfies:

x＝T ₁ b+T ₂ b ^* ；

Wherein, x represents the first signal, b represents the first data, b ^* represents the conjugate of the first data, _T1 represents the precoding matrix of the first data, and _T2 represents the conjugate precoding matrix of the first data.

In a possible implementation manner of the third aspect,

The number of layers of the first data is m, where m is a natural number greater than or equal to 1;

The number of ports of the first demodulation reference signal and the second demodulation reference signal is m.

In a possible implementation manner of the third aspect,

The first data satisfies a non-regular Gaussian signaling characteristic, and/or the first signal satisfies a non-regular Gaussian signaling characteristic.

In a possible implementation manner of the third aspect,

The first demodulation reference signal carries first demodulation information, the second demodulation reference signal carries second demodulation information, and the first demodulation information and the second demodulation information are used to obtain an estimate of the first data.

In a possible implementation manner of the third aspect,

The first demodulation reference signal is obtained by precoding based on a first precoding matrix, and the first precoding matrix is associated with the first demodulation information;

The second demodulation reference signal is obtained by precoding based on a second precoding matrix, and the second precoding matrix is associated with the second demodulation information.

In a possible implementation manner of the third aspect,

The first precoding matrix associated with the first demodulation information includes:

Wherein, ^F1 represents the first precoding matrix, H ⁺ is the inverse matrix or generalized inverse matrix of H, H represents the channel information of the channel between the transmitting end and the receiving end, is the conjugate transpose of R ₁ , where R ₁ represents the first demodulated information;

The second precoding matrix associated with the second demodulation information includes:

Wherein, ^F2 represents the second precoding matrix, is the conjugate transpose of R ₂ , and R ₂ represents the second demodulated information.

In a possible implementation manner of the third aspect,

The first precoding matrix is not equal to the precoding matrix of the first data, and/or the second precoding matrix is not equal to the conjugate precoding matrix of the first data.

In the third aspect of the embodiment of the present application, the constituent modules of the communication device can also be used to execute the steps performed in each possible implementation method of the first aspect and achieve corresponding technical effects. For details, please refer to the first aspect and will not be repeated here.

In a fourth aspect of the present application, a communication device is provided, which can implement the method in the second aspect or any possible implementation of the second aspect. The device includes corresponding units or modules for executing the above method. The units or modules included in the device can be implemented by software and/or hardware. For example, the device can be a transmitting end, or the device can be a component in the transmitting end (such as a processor, a chip or a chip system, etc.), or the device can also be a logical module or software that can implement all or part of the functions of the transmitting end.

Wherein, the device comprises a transceiver unit and a processing unit;

The processing unit is used to generate first data;

The transceiver unit is used to send first data;

The processing unit is also used for a first demodulation reference signal and a second demodulation reference signal, wherein the first demodulation reference signal and the second demodulation reference signal are used for demodulating the first data;

The transceiver unit is also used to send the first demodulation reference signal and the second demodulation reference signal.

In a possible implementation of the fourth aspect,

The first data is carried in a first signal, and the first signal is obtained based on the first data and a conjugate of the first data.

In a possible implementation manner of the fourth aspect, the first signal satisfies:

x＝T ₁ b+T ₂ b ^* ；

Wherein, x represents the first signal, b represents the first data, b ^* represents the conjugate of the first data, _T1 represents the precoding matrix of the first data, and _T2 represents the conjugate precoding matrix of the first data.

In a possible implementation of the fourth aspect,

The number of layers of the first data is m, where m is a natural number greater than or equal to 1;

The number of ports of the first demodulation reference signal and the second demodulation reference signal is m.

In a possible implementation of the fourth aspect,

The first data satisfies a non-regular Gaussian signaling characteristic, and/or the first signal satisfies a non-regular Gaussian signaling characteristic.

In a possible implementation of the fourth aspect,

The first demodulation reference signal carries first demodulation information, the second demodulation reference signal carries second demodulation information, and the first demodulation information and the second demodulation information are used to obtain an estimate of the first data.

In a possible implementation of the fourth aspect,

The first demodulation reference signal is obtained by precoding based on a first precoding matrix, and the first precoding matrix is associated with the first demodulation information;

The second demodulation reference signal is obtained by precoding based on a second precoding matrix, and the second precoding matrix is associated with the second demodulation information.

In a possible implementation of the fourth aspect,

The first precoding matrix associated with the first demodulation information includes:

Wherein, ^F1 represents the first precoding matrix, H ⁺ is the inverse matrix or generalized inverse matrix of H, H represents the channel information of the channel between the transmitting end and the receiving end, is the conjugate transpose of R ₁ , where R ₁ represents the first demodulated information;

The second precoding matrix associated with the second demodulation information includes:

Wherein, ^F2 represents the second precoding matrix, is the conjugate transpose of R ₂ , and R ₂ represents the second demodulated information.

In a possible implementation of the fourth aspect,

The first precoding matrix is not equal to the precoding matrix of the first data, and/or the second precoding matrix is not equal to the conjugate precoding matrix of the first data.

In the fourth aspect of the embodiments of the present application, the constituent modules of the communication device can also be used to execute the steps performed in each possible implementation method of the second aspect and achieve corresponding technical effects. For details, please refer to the second aspect and will not be repeated here.

A fifth aspect of the embodiments of the present application provides a communication device, including at least one processor, wherein the at least one processor is coupled to a memory;

The memory is used to store programs or instructions;

The at least one processor is used to execute the program or instruction so that the device implements the method described in the first aspect or any possible implementation manner of the first aspect.

A sixth aspect of the embodiments of the present application provides a communication device, including at least one processor, wherein the at least one processor is coupled to a memory;

The memory is used to store programs or instructions;

The at least one processor is used to execute the program or instruction so that the device implements the method described in the second aspect or any possible implementation manner of the second aspect.

A seventh aspect of the embodiments of the present application provides a communication device, including at least one logic circuit and an input and output interface;

The input-output interface is used to input first data;

The input-output interface is also used to input a first demodulation reference signal and a second demodulation reference signal;

The logic circuit is used to execute the method described in the first aspect or any possible implementation of the first aspect.

An eighth aspect of the embodiments of the present application provides a communication device, including at least one logic circuit and an input and output interface;

The input-output interface is used to output first data;

The input-output interface is also used to output a first demodulation reference signal and a second demodulation reference signal;

The logic circuit is used to execute the method described in the second aspect or any possible implementation of the second aspect.

A ninth aspect of an embodiment of the present application provides a computer-readable storage medium, which is used to store one or more computer-executable instructions. When the computer-executable instructions are executed by a processor, the processor executes the method described in the first aspect or any possible implementation of the first aspect, or the processor executes the method described in the second aspect or any possible implementation of the second aspect.

The tenth aspect of the embodiments of the present application provides a computer program product (or computer program). When the computer program product is executed by the processor, the processor executes the method of the first aspect or any possible implementation of the first aspect, or the processor executes the method of the second aspect or any possible implementation of the second aspect.

In the eleventh aspect of an embodiment of the present application, a chip system is provided, which includes at least one processor for supporting a communication device to implement the functions involved in the above-mentioned first aspect or any possible implementation method of the first aspect, or for supporting a communication device to implement the functions involved in the above-mentioned second aspect or any possible implementation method of the second aspect.

In a possible design, the chip system may also include a memory for storing program instructions and data necessary for the communication device. The chip system may be composed of a chip, or may include a chip and other discrete devices. Optionally, the chip system also includes an interface circuit, which provides program instructions and/or data for the at least one processor.

A twelfth aspect of an embodiment of the present application provides a communication system, which includes the communication device of the third aspect and the communication device of the fourth aspect, and/or the communication system includes the communication device of the fifth aspect and the communication device of the sixth aspect, and/or the communication system includes the communication device of the seventh aspect and the communication device of the eighth aspect.

Among them, the technical effects brought about by any design method in the third aspect to the twelfth aspect can refer to the technical effects brought about by different implementation methods in the above-mentioned first aspect to the fourth aspect, and will not be repeated here.

It should be understood that, for components in a device, the “sending” mentioned above may be referred to as “output” and the “receiving” may be referred to as “input”.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic diagram of a communication system involved in the present application;

FIG2 is a schematic diagram of a communication method provided by the present application;

FIG3 is another schematic diagram of a communication system involved in the present application;

FIG4 is another schematic diagram of a communication system involved in the present application;

FIG5 is a schematic diagram of a communication device provided by the present application;

FIG6 is another schematic diagram of a communication device provided by the present application;

FIG7 is another schematic diagram of a communication device provided by the present application;

FIG8 is another schematic diagram of the communication device provided in the present application.

DETAILED DESCRIPTION

The following will describe the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

First, some terms in the embodiments of the present application are explained to facilitate understanding by those skilled in the art.

(1) Terminal device: It can be a wireless terminal device that can receive network device scheduling and instruction information. The wireless terminal device can be a device that provides voice and/or data connectivity to users, or a handheld device with wireless connection function, or other processing devices connected to a wireless modem.

The terminal device can communicate with one or more core networks or the Internet via a radio access network (RAN). The terminal device can be a mobile terminal device, such as a mobile phone (or "cellular" phone, mobile phone), a computer and a data card. For example, it can be a portable, pocket-sized, handheld, computer-built-in or vehicle-mounted mobile device that exchanges language and/or data with the radio access network. For example, personal communication service (PCS) phones, cordless phones, session initiation protocol (SIP) phones, wireless local loop (WLL) stations, personal digital assistants (PDAs), tablet computers (Pads), computers with wireless transceiver functions, and other devices. The wireless terminal device may also be referred to as a system, a subscriber unit, a subscriber station, a mobile station, a mobile station (MS), a remote station, an access point (AP), a remote terminal device, an access terminal device, a user terminal device (user terminal), a user agent, a subscriber station (SS), a customer premises equipment (CPE), a terminal, a user equipment (UE), a mobile terminal (MT), etc. The terminal device may also be a wearable device and a next generation communication system, for example, a terminal device in a 5G communication system or a terminal device in a future evolved public land mobile network (PLMN), etc.

(2) Network equipment: It can be equipment in a wireless network, for example, a network equipment can be a radio access network (RAN) node (or equipment) that connects a terminal device to a wireless network, which can also be called a base station. At present, some examples of RAN equipment are: a new generation Node B (gNodeB) in a 5G communication system, a transmission reception point (TRP), an evolved Node B (eNB), a radio network controller (RNC), a Node B (NB), a base station controller (BSC), a base transceiver station (BTS), a home base station (e.g., home evolved Node B, or home Node B, HNB), a base band unit (BBU), or a wireless fidelity (Wi-Fi) access point (AP). In addition, in a network structure, a network equipment can include a centralized unit (CU) node, a distributed unit (DU) node, or a RAN device including a CU node and a DU node.

Among them, the network device can send configuration information to the terminal device (for example, carried in a scheduling message and/or an indication message), and the terminal device further performs network configuration according to the configuration information, so that the network configuration between the network device and the terminal device is aligned; or, through the network configuration preset in the network device and the network configuration preset in the terminal device, the network configuration between the network device and the terminal device is aligned. Specifically, "alignment" means that when there is an interactive message between the network device and the terminal device, the two have a consistent understanding of the carrier frequency for sending and receiving the interactive message, the determination of the interactive message type, the meaning of the field information carried in the interactive message, or other configurations of the interactive message.

In addition, in other possible cases, the network device may be other devices that provide wireless communication functions for the terminal device. The embodiments of the present application do not limit the specific technology and specific device form used by the network device. For the convenience of description, the embodiments of the present application do not limit.

The network device may further include a core network device, which may include, for example, an access and mobility management function (AMF), a user plane function (UPF) or a session management function (SMF).

In the embodiment of the present application, the device for realizing the function of the network device may be a network device, or may be a device capable of supporting the network device to realize the function, such as a chip system, which may be installed in the network device. In the technical solution provided in the embodiment of the present application, the technical solution provided in the embodiment of the present application is described by taking the device for realizing the function of the network device as an example that the network device is used as the device.

(3) Configuration and pre-configuration: In this application, configuration and pre-configuration will be used at the same time. Configuration refers to the base station or server and other network devices sending some parameter configuration information or parameter values to the terminal through messages or signaling, so that the terminal can determine the communication parameters or resources during transmission based on these values or information. Pre-configuration is similar to configuration. It can be a way for a base station or server and other network devices to send parameter information or values to the terminal through a communication link or carrier; it can also be a way to define the corresponding parameters or parameter values (for example, clearly specify the parameter values in the standard), or by writing the relevant parameters or values to the terminal device in advance. This application does not limit this. Furthermore, these values and parameters can be changed or updated.

(4) Precoding technology: When the channel state is known, the transmitter can process the signal to be transmitted with the help of a precoding matrix that matches the channel and then transmit it, so that the precoded transmission signal is adapted to the channel. Therefore, compared with the processing process of the receiving end receiving the non-precoded transmission signal and eliminating the influence between channels, the complexity of the processing process of the receiving end receiving the precoded transmission signal and eliminating the influence between channels is reduced. Therefore, by precoding the signal to be transmitted, the quality of the received signal (such as signal to interference plus noise ratio (SINR)) can be improved. The use of precoding technology can also realize the transmission of the transmitter and multiple receivers on the same time-frequency resources, that is, multiple user multiple input multiple output (MU-MIMO) is realized.

Optionally, the sending end may be a terminal device and the receiving end may be a network device; or, the sending end may be a network device and the receiving end may be a terminal device; or, the sending end may be a network device and the receiving end may be a network device; or, the sending end may be a terminal device and the receiving end may be a terminal device.

It should be understood that the relevant description of the precoding technology is only for ease of understanding and is not intended to limit the scope of protection of the embodiments of the present application. In the specific implementation process, the transmitting end can also perform precoding in other ways. For example, when channel information (such as but not limited to the channel matrix) cannot be obtained, a pre-set precoding matrix or a weighted processing method is used for precoding. For the sake of brevity, the specific content is not repeated herein.

(5) Antenna port: It can be referred to as port for short. It can be understood as a transmitting antenna identified by the receiving end, or a transmitting antenna that can be distinguished in space. An antenna port can be pre-configured for each virtual antenna. Each virtual antenna can be a weighted combination of multiple physical antennas. Each antenna port can correspond to a reference signal. Therefore, each antenna port can be called a reference signal port, for example, a demodulation reference signal (DMRS) or a sounding reference signal (SRS) port.

(6) In this application, "used for indication" may include being used for direct indication and being used for indirect indication. When describing that a certain indication information is used to indicate A, it can be understood that the indication information carries A, directly indicates A, or indirectly indicates A.

In this application, the information indicated by the indication information is referred to as the information to be indicated. In the specific implementation process, there are many ways to indicate the information to be indicated, such as but not limited to, the information to be indicated can be directly indicated, such as the information to be indicated itself or the index of the information to be indicated. The information to be indicated can also be indirectly indicated by indicating other information, wherein there is an association relationship between the other information and the information to be indicated. It is also possible to indicate only a part of the information to be indicated, while the other parts of the information to be indicated are known or agreed in advance. For example, the indication of specific information can also be achieved with the help of the arrangement order of each information agreed in advance (such as specified by the protocol), thereby reducing the indication overhead to a certain extent.

The information to be indicated can be sent as a whole, or divided into multiple sub-information and sent separately, and the sending period and/or sending time of these sub-information can be the same or different. The specific sending method is not limited in this application. Among them, the sending period and/or sending time of these sub-information can be pre-defined, for example, pre-defined according to the protocol, or configured by the transmitting device by sending configuration information to the receiving device. Among them, the configuration information can include, for example but not limited to, one or a combination of at least two of radio resource control signaling, media access control (media access control, MAC) layer signaling and physical layer signaling. Among them, radio resource control signaling, for example, radio resource control (radio resource control, RRC) signaling; MAC layer signaling, for example, includes MAC control element (control element, CE); physical layer signaling, for example, includes downlink control information (downlink control information, DCI).

(7) The terms "system" and "network" in the embodiments of the present application can be used interchangeably. "At least one" means one or more, and "plurality" means two or more. "And/or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and/or B can represent: the existence of A alone, the existence of A and B at the same time, and the existence of B alone, where A and B can be singular or plural. The character "/" generally indicates that the objects associated with each other are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, "at least one of A, B and C" includes A, B, C, AB, AC, BC or ABC. And, unless otherwise specified, the ordinal numbers such as "first" and "second" mentioned in the embodiments of the present application are used to distinguish multiple objects, and are not used to limit the order, timing, priority or importance of multiple objects.

The present application can be applied to a long term evolution (LTE) system, a new radio (NR) system, or other communication systems, wherein the communication system includes a network device and a terminal device, the network device serves as a configuration information sending entity, and the terminal device serves as a configuration information receiving entity. Specifically, in the communication system, there is an entity that sends configuration information to another entity, and sends data to another entity, or receives data sent by another entity; another entity receives the configuration information, and sends data to the configuration information sending entity according to the configuration information, or receives data sent by the configuration information sending entity. Among them, the present application can be applied to a terminal device in a connected state or an activated state (ACTIVE), and can also be applied to a terminal device in a non-connected state (INACTIVE) or an idle state (IDLE).

Please refer to Figure 1, which is a schematic diagram of the communication system in the present application. In Figure 1, a network device and 6 terminal devices are exemplarily shown, and the 6 terminal devices are terminal device 1, terminal device 2, terminal device 3, terminal device 4, terminal device 5, and terminal device 6. In the example shown in Figure 1, terminal device 1 is a smart tea cup, terminal device 2 is a smart air conditioner, terminal device 3 is a smart gas pump, terminal device 4 is a means of transportation, terminal device 5 is a mobile phone, and terminal device 6 is a printer. Among them, the transmitting end can be a network device or a terminal device, and the receiving end can be a network device or a terminal device.

As shown in Figure 1, during the communication process, the sending end (or called the transmitting end, the transmitting end device) can be a network device, and the receiving end (or called the receiving end, the receiving end device) can be a terminal device (for example, terminal device 1-terminal device 6 in Figure 1); or, the sending end can be a terminal device, and the receiving end can be a network device; or, both the sending end and the receiving end can be network devices; or, both the sending end and the receiving end can be terminal devices.

In the wireless communication process of the communication system shown in Figure 1, the signal sent by the transmitting end for carrying data needs to be modulated, and the signal received by the corresponding receiving end is the modulated signal. Accordingly, after receiving the signal, the receiving end usually needs to demodulate the received signal to obtain the data carried by the signal.

However, for the receiving end, how to implement the signal demodulation process and improve the demodulation performance is a technical problem that needs to be solved urgently.

A possible implementation of a signal demodulation process in a multiple input multiple output (MIMO) system is taken as an example below.

In a possible implementation process, multiple antennas are configured at both the transmitting and receiving ends of the MIMO system, which can significantly improve the spectrum efficiency. This technology is widely used in 4G mobile communication systems. In addition, the massive multiple input multiple output (mMIMO) technology further significantly increases the number of antennas, especially the number of antennas at the transmitting end, usually in the form of at least 64 transmit and receive channels (64Transmit and 64Receive, 64TRX) in the mid-frequency band, and supports more antennas (such as up to 192). In 5G services, the commercial use of mMIMO has achieved great success.

Taking the base station as an example, it is generally believed that the antenna size of the base station is relatively large, while the antenna size of the terminal device is usually limited. In the low and medium frequency bands where the wireless signal attenuation is low, the number of terminal antennas is often small, and the mainstream configuration is 2 or 4 antennas. For single-user MIMO, due to the number of antennas of the terminal device, the spectral efficiency gain of the network equipment with a large number of antennas is not much compared with the number of ordinary antennas. For multi-user MIMO, the base station can counter multi-user interference through spatial multi-antenna processing due to the configuration of large-scale antennas, thereby supporting a large number of users to transmit simultaneously. Therefore, mMIMO technology is an effective technology to improve multi-user capacity.

In addition, the network device can use multi-user linear precoding technology to combat multi-user interference. For example, taking downlink multi-user MIMO as an example, the network device uses zero forcing beamforming (ZFBF) to communicate, where ZFBF is also called zero forcing precoding. That is, during the communication process with multiple terminal devices (or multiple users), the network device selects a precoding matrix (and indicates the selected precoding matrix to the target user) so that the interference of other terminal devices in the multiple terminal devices to the target terminal device (or target user) is zero, thereby effectively combating multi-user interference.

In the above-mentioned signal demodulation process based on ZFBF, take the network device as the transmitting end and the terminal device as the receiving end as an example. The network device can send demodulation information to the target terminal device, so that the target terminal device can demodulate the received data based on the demodulation information. In addition, since the implementation process based on ZFBF can set the interference of other terminal devices to the target terminal device to zero, the demodulation information sent by the network device to the target terminal device does not need to be associated with the precoding matrix of other terminal devices, but only requires an indication of the precoding information of the target terminal device so that the target terminal device can correctly demodulate the data. In other words, the transmitting end can implement the signal demodulation process by sending less information to the receiving end. The less information is generally carried on a demodulation reference signal, which can enable the receiving end to perform the signal demodulation process based only on a demodulation reference signal.

However, since the goal of zero-forcing beamforming is to null interference rather than match the user's own channel information, channel capacity is lost. Therefore, how to effectively improve multi-user capacity, especially downlink multi-user capacity, is a technical issue worth studying.

In a possible implementation process, in order to improve the signal capacity, the transmitting end and the receiving end may communicate based on a wide linear precoding method.

Among them, wide linear precoding can realize the transformation of regular Gaussian signaling to irregular Gaussian signaling, so that the transmitted signal no longer requires the I-path signal and the Q-path signal to be independent and identically distributed, thereby introducing more signal degrees of freedom to achieve optimal design for combating multi-user interference and matching spatial channels.

Taking the example of a base station in a downlink MU-MIMO as the transmitting end and multiple users as the receiving end, the base station can send modulated signals, such as quadrature amplitude modulation (QAM) signals, to multiple users simultaneously. Exemplarily, taking the number of multiple users as k as an example, the value of k is greater than or equal to 2. The base station determines the data of k users obtained by serial-to-parallel conversion (S/P) processing. For user k among multiple users, the base station can send one or more data streams, each of which is a QAM signal.

For example, the data of the k users includes the data of user 1 (User 1's data) recorded as b ₁ , the data of user 2 (User 2's data) recorded as b ₂ , and the data of user k (User k's data) recorded as b _k . The data of user k b _k can be expressed as m _k represents the number of layers (or streams) of data b _k .

Then, the base station performs wide linear precoding (WLP) on the data of each user, that is, linear processing is performed on the data of each user and the conjugate of the data. Here, the data b _k of user k is still taken as an example. The precoding matrices involved in WLP include T _1,k and T _2,k , and the signal after WLP processing satisfies:

Where _xk represents the signal after WLP processing, is the conjugate of b _k .

Optionally, the matrix dimension of _xk is M*1.

The number of antennas of the base station is M (M is greater than or equal to 1), and when M is 1, it represents single antenna or single channel transmission.

It can be understood that the number m _k of data streams sent by the base station is less than or equal to the number M of antennas of the base station.

After the above processing, the base station mixes the data of multiple user wide linear precodings and sends them on multiple antennas. Here, taking x _k corresponding to the data b _k of user k as an example, x _k can be sent on M antenna ports of the base station.

After that, after transmission through the wireless channel (the wireless channel can be recorded as the channel matrix (channel matrix) H _k ), the user receives the signals of multiple users after passing through the channel on multiple antennas. In addition, the user performs multi-user detection by means of widely linear estimation (WLE), that is, linear processing is performed on the signal received by the user and the conjugate of the signal, so as to restore the data stream of the user. Here, we still take the data x _k corresponding to the data b _k of user k as an example. After x _k is transmitted by H _k , the data received by user k on the corresponding antenna port (for example, the antenna "1,...N _k " of the kth user, N _k is greater than or equal to 2) is y _k . After that, user k determines the estimate of data b _k based on y _k based on the WLE process, which is recorded as

In the above-mentioned wide linear precoding system, because wide linear precoding is introduced, users can achieve the optimization effect of counteracting interference and matching spatial channel information through additional degrees of freedom, thereby improving user capacity.

However, in the above implementation process, the receiving end needs to process the interference accordingly, that is, the receiving end needs to process the interference through the demodulation information R _1,k and R _2,k used in the WLE process (for example, the kth receiving end uses The estimation of the first data of the kth receiving end is determined by a method, such as the method of the following formula (16). In the implementation method in which the above-mentioned receiving end performs the signal demodulation process based on only one demodulation reference signal, since the receiving end obtains the demodulation information corresponding to its own precoding information, the receiving end cannot eliminate the interference. In other words, the above-mentioned signal demodulation process using a demodulation reference signal cannot enable the user to obtain interference information, resulting in poor demodulation performance of the receiving end, which is likely to cause demodulation failure of the receiving end.

Therefore, how to improve the demodulation performance of the receiving end is a technical problem that needs to be solved urgently.

Please refer to FIG. 2 , which is a schematic diagram of a communication method provided in the present application. The method includes the following steps.

S201. The sending end sends first data.

In this embodiment, the sending end sends the first data in step S201, and correspondingly, the receiving end receives the first data in step S201.

It should be noted that the sending end involved in the present application can be a network device or a terminal device, and the receiving end can also be a network device or a terminal device.

In a possible implementation, the first data received by the receiving end in step S201 is carried in a first signal, and the first signal is obtained based on the first data and the conjugate of the first data. In other words, the first signal is obtained based on a wide linear transformation of the first data, so that the first signal received by the receiving end supports a wide linear precoding scenario.

It should be understood that the first data includes a real part and an imaginary part, and the conjugate of the first data also includes a real part and an imaginary part, wherein the real part of the first data is the same as the real part of the conjugate of the first data, and the imaginary part of the first data is the reciprocal of the imaginary part of the conjugate of the first data.

In addition, in the present application, the first signal is obtained based on a wide linear transformation of the first data, which can also be expressed as the first signal is obtained based on a linear transformation of the first data and a conjugate linear transformation of the first data.

In a possible implementation, the first signal satisfies:

x＝T ₁ b+T ₂ b ^* ；

Wherein, x represents the first signal, b represents the first data, b ^* represents the conjugate of the first data, _T1 represents the precoding matrix of the first data, and _T2 represents the conjugate precoding matrix of the first data.

Exemplarily, this embodiment can be applied to a MU-MIMO system, and an implementation example of the MU-MIMO system is shown in FIG3. In FIG3, taking the number of antenna ports (or the number of transmission channels) of the transmitting end as M, the number of receiving ends as k, and the number of streams of the first data of the kth receiving end as m _k as an example, M and m _k are both integers greater than or equal to 1, and m _k is less than or equal to M. Among them, the first signal for carrying the first data sent by the transmitting end in step S201 satisfies:

Wherein, x _k represents the first signal of the kth receiving end, b _k represents the first data of the kth receiving end, represents the conjugate of the first data of the k-th receiving end, T _1,k represents the precoding matrix of the first data of the k-th receiving end, and T _2,k represents the conjugate precoding matrix of the first data of the k-th receiving end.

Similarly, for the data processing process of other receiving ends among the k receiving ends, the sending end can also be implemented based on a process similar to formula (1).

In one possible implementation, the first data received by the receiving end in step S201 satisfies the non-regular Gaussian signaling characteristics, and/or the first signal used to carry the first data satisfies the non-regular Gaussian signaling characteristics. Specifically, the signal received by the receiving end (including the first data and/or the first signal) satisfies the non-regular Gaussian signaling characteristics, that is, the signal received by the receiving end no longer requires the I-way signal and the Q-way signal (i.e., the in-phase signal and the orthogonal (quadrature) signal) to be independent and identically distributed (i.e., the two variables of the I-way signal and the Q-way signal detected by the receiving end are independent of each other and obey the same statistical distribution during the process of detecting the signal), or, the pseudo-covariance matrix of the signal received by the receiving end is not zero. Thus, introducing more signal degrees of freedom can achieve an optimized design for combating multi-user interference and matching spatial channels, so that the above technical solution can be applied to a multi-user multiple input and multiple output (MU-MIMO) system.

For example, taking the implementation of formula (1) as an example, the pseudo-covariance of x _k is It can be expressed as:

Among them, E(.) means to find the expectation, represents the transpose of x _k , x _k represents the first data of the k-th receiving end, and x _k,1 , x _k,2 ...x _k,M respectively represent the data mapped on M antenna ports of the first data of the k-th receiving end.

For example, if _xk is a non-regular Gaussian signal, such as a 4-layer BPSK modulated signal, the I and Q paths do not satisfy the same distribution and satisfy If x _k is a regular Gaussian signal, such as a 4-layer QPSK modulated signal, the I and Q paths are identically distributed and satisfy

S202. The transmitting end sends a first demodulation reference signal and a second demodulation reference signal.

In this embodiment, the transmitting end sends the first demodulation reference signal and the second demodulation reference signal in step S202, and correspondingly, the receiving end receives the first demodulation reference signal and the second demodulation reference signal in step S202.

In a possible implementation, the number of layers of the first data received by the receiving end in step S201 is m, where m is a natural number greater than or equal to 1; wherein the number of ports of the first demodulation reference signal and the second demodulation reference signal received by the receiving end in step S202 is m. Specifically, the number of layers of the first data, the number of ports of the first demodulation reference signal, and the number of ports of the second demodulation reference signal are all m. That is, the number of layers of the first data, the number of ports of the first demodulation reference signal, and the number of ports of the second demodulation reference signal are all the same, so that the receiving end can demodulate the data of the same number of layers based on the demodulation reference signal with the same number of ports, so as to improve the success rate of data demodulation.

In the present application, the number of layers of the first data may also be referred to as the number of streams of the first data.

Optionally, the number of ports of the first demodulation reference signal is less than m, and/or the number of ports of the second demodulation reference signal is less than m.

S203. The receiving end demodulates the first data based on the first demodulation reference signal and the second demodulation reference signal.

In this embodiment, after the receiving end receives the first demodulation reference signal and the second demodulation reference signal in step S202, the receiving end demodulates the first data based on the first demodulation reference signal and the second demodulation reference signal in step S203.

In a possible implementation, the first demodulation reference signal received by the receiving end in step S202 carries the first demodulation information, the second demodulation reference signal received by the receiving end in step S202 carries the second demodulation information, and the first demodulation information and the second demodulation information are used to obtain an estimate of the first data. Specifically, the first demodulation reference signal and the second demodulation reference signal received by the receiving end are respectively used to carry different demodulation information, so that the receiving end can demodulate the first data based on the different demodulation information to obtain an estimate of the first data.

Optionally, in the present application, demodulation information (eg, first demodulation information or second demodulation information) may be expressed as a demodulation matrix, a detection matrix, demodulation matrix information, or the like.

It should be understood that the estimation of the first data refers to the data received by the receiving device and recovered locally after the first data sent by the transmitting end is transmitted through the channel. In other words, the receiving end determines the estimation of the first data as the first data sent by the transmitting end in order to obtain the information carried by the first data. In addition, due to factors such as inevitable signal interference and signal attenuation in the wireless communication system, it is possible that the estimation of the first data obtained by the receiving end is not completely identical to the first data sent by the transmitting end.

In a possible implementation, the first demodulation reference signal received by the receiving end in step S202 is obtained by precoding based on a first precoding matrix, and the first precoding matrix is associated with the first demodulation information; the second demodulation reference signal received by the receiving end in step S202 is obtained by precoding based on a second precoding matrix, and the second precoding matrix is associated with the second demodulation information. Specifically, the first demodulation reference signal and the second demodulation reference signal received by the receiving end are respectively precoded by different precoding matrices, so that the receiving end determines the associated demodulation information based on the different precoding matrices.

In addition, in the MU-MIMO system, the receiving end does not need to demodulate the demodulation reference signals of other users (or users corresponding to other receiving ends). The receiving end can demodulate the received first data based on the received first demodulation reference signal and the second demodulation reference signal, thereby reducing the detection complexity of the receiving end.

In a possible implementation manner, the first precoding matrix is associated with the first demodulation information and includes:

Wherein, ^F1 represents the first precoding matrix, H ⁺ is the inverse matrix or generalized inverse matrix of H, H represents the channel information of the channel between the transmitting end and the receiving end, is the conjugate transpose of R ₁ , where R ₁ represents the first demodulated information;

The second precoding matrix associated with the second demodulation information includes:

Wherein, ^F2 represents the second precoding matrix, is the conjugate transpose of R ₂ , and R ₂ represents the second demodulated information.

In one possible implementation, the first precoding matrix is not equivalent to the precoding matrix of the first data, and/or the second precoding matrix is not equivalent to the precoding matrix of the conjugate of the first data. Specifically, in a MU-MIMO system, the first demodulation information and the second demodulation information required for multi-user detection at the receiving end are related to both the precoding matrix of the data of the receiving end (e.g., the first data) and the precoding matrix of the data of other receiving ends (or users corresponding to other receiving ends) other than the receiving end. The first precoding matrix used for precoding the first demodulation information is not equivalent to the precoding matrix used for precoding the first data, and/or the second precoding matrix used for precoding the second demodulation information is not equivalent to the precoding matrix used for precoding the conjugate of the first data, so that the scheme can be applied to the data transmission process in the MU-MIMO system.

Based on the above technical solution, the first demodulation reference signal and the second demodulation reference signal received by the receiving end in step S202 are used to demodulate the first data received by the receiving end in step S201, so that after the receiving end receives the first data in step S201, the receiving end demodulates the first data based on the first demodulation reference signal and the second demodulation reference signal in step S202. In other words, in the process of demodulating the first data by the receiving end, the receiving end receives the first demodulation reference signal and the second demodulation reference signal to obtain demodulation information, and demodulates the received first data based on the demodulation information to implement the signal demodulation process of the receiving end.

In addition, compared to the implementation method in which the receiving end performs the signal demodulation process based only on one demodulation reference signal, in the above technical solution, the first demodulation reference signal and the second demodulation reference signal received by the receiving end can carry more demodulation information, so that the receiving end can demodulate the received data based on more demodulation information to improve the demodulation performance.

Exemplarily, here still taking the scenario involved in FIG. 3 as an example, the first demodulation reference signal and the second demodulation reference signal sent by the transmitting end to the kth receiving end in step S202 can be implemented as shown in FIG. 4, that is, the first demodulation reference signal is recorded as the demodulation reference signal in FIG. 4 The second demodulation reference signal is recorded as the demodulation reference signal in FIG. 4 The implementation of other signals can refer to the description of FIG. 3 above, which will not be described in detail here. In FIG. 4, the first _demodulation reference signal is The number of ports and Take the case where the number of ports is equal and the value is m _k .

In the implementation example shown in FIG4 , after the data sent by the transmitting end is sent through M antenna ports and transmitted through a wireless channel (the channel information of the wireless channel between the transmitting end and the kth receiving end is recorded as H _k ), the signal y _k received by the kth receiving end (in the figure, the antennas of the kth receiving end include antenna 1, antenna 2 ... antenna N _k as an example) can be expressed as:

in, represents the conjugate of _xi , _Hk is a matrix of _Nk *M representing the channel information of the wireless channel between the transmitter and the kth receiver, and x represents the data after the data of k receivers are superimposed (i.e. i is greater than or equal to 1, and i is less than or equal to k), T _1,i and T _2,i respectively represent the precoding matrix of the data of the i-th receiving end (i is an integer and the value of i is 1 to k) and the conjugate precoding matrix of the data of the i-th receiving end, _nk is a matrix of N _k *1 and _nk represents complex Gaussian noise, that is, the mean of _nk is 0 and the variance is represents the Gaussian noise variance.

In step S203, the kth receiving end can obtain an estimate of b _k by performing wide linear estimation (i.e., performing linear transformation on the received signal y _k and the conjugate of y _k ). satisfy:

Wherein, R _1,k represents the first demodulation information, R _2,k represents the second demodulation information, and R _1,k and R _2,k are both matrices of m _k *N _k , y _k represents the received signal of the kth receiving end, represents the conjugate of the received signal at the kth receiving end.

The implementation process of the sending end and the receiving end in FIG. 3 will be described below by way of some implementation examples.

In the communication method shown in FIG3 , the transmitting end can implement the process of determining R _1,k and R _2,k through the following processes of equations (5) to (13).

Specifically, under the premise that T _1,i and T _2,i are known, R _1,k and R _2,k can be obtained by the minimum mean square error algorithm. The mean square error matrix E _k of the kth receiver can be expressed as

Wherein, E{} represents expectation, () ^H represents conjugate transpose, b _k represents the first data of the kth receiving end, Represents an estimate of the first data obtained by the kth receiving end.

Through the minimum mean square error algorithm, we can get R _1,k and R _2,k to satisfy:

Wherein, R _1,k represents the first demodulation information, R _2,k represents the second demodulation information, and R _1,k and R _2,k are both m _k *N _k matrices, H _k is an N _k *M matrix representing the channel information of the wireless channel between the transmitter and the kth receiver, is the conjugate of H _k .

In addition, other parameters in equations (6.1) and (6.2) are implemented as shown in equations (7) to (11). Expressed as The inverse matrix of for The conjugate of , and is the covariance matrix of the received signal y _k , which can be expressed as:

Where, E(.) means to find the expectation, y _k means the received signal of the kth receiving end, represents the conjugate of the received signal of the kth receiving end, H _k is a matrix of N _k *M representing the channel information of the wireless channel between the transmitter and the kth receiving end, is the conjugate of H _k , represents the Gaussian noise variance, and I is the unit matrix.

In formula (6.1) is the pseudo covariance matrix of the received signal y _k , which can be expressed as:

Among them, in formula (6.2) express The conjugation of.

In formula (7) is the covariance matrix of _xi , which can be expressed as:

In formula (8) is the pseudo covariance matrix of the received signal _xi , which can be expressed as:

The intermediate quantity in formula (6.1) and formula (6.2) It can be expressed as:

It can be seen from equations (6.1), (6.2) and (7) to (11) that R _1,k and R _2,k required for multi-user detection at the kth receiving end are related to the wide linear precoding matrices T _1,k and T _2,k of the current receiving end, as well as the wide linear precoding matrices of the other k-1 receiving ends that are scheduled at the same time.

To this end, R _1,k and R _2,k should consider the precoding matrix of the kth receiving end and the interfering user (i.e., the other receiving ends among the k receiving ends except the kth receiving end). In order to allow the kth receiving end to obtain R _1,k and R _2,k , in the present invention, as shown in FIG4 , the transmitting end configures the demodulation reference signal for the kth receiving end respectively and demodulation reference signal

Optionally, and The number of ports of is the same as the number of streams of data _bk , and data _bk adopts wide linear precoding, as shown in formula (1).

Optionally, and Use independent precoding respectively.

Optionally, the data b _k and the demodulation reference signal Send on different time-frequency resources, demodulate reference signal It can be sent on different time-frequency resources, or using code division multiplexing.

In addition, since the user needs to know the demodulation information R _1,k and R _2,k required for wide linear estimation for wide linear detection, by configuring the demodulation reference signal and demodulation reference signal and make and The number of ports is the same as the number of spatial streams of data b _k , which can support the terminal to demodulate the reference signal with the minimum reference signal (or pilot) overhead and demodulation reference signal Obtain R _1,k and R _2,k to support wide linear estimation.

in, The precoding matrix is satisfy:

in, Represents the precoding matrix based on Demodulation Reference Signal The information obtained after precoding, _Hk is a matrix of _Nk *M representing the channel information of the wireless channel between the transmitter and the kth receiver. represents the generalized inverse matrix of H _k , also known as the Moore-Penrose generalized inverse matrix, represents the first demodulated information of the kth receiving end, Represents the first demodulation reference signal of the kth receiving end.

Similarly, The precoding matrix is satisfy:

in, Represents the precoding matrix based on Demodulation Reference Signal The information obtained after precoding, _Hk is a matrix of _Nk *M representing the channel information of the wireless channel between the transmitter and the kth receiver. represents the generalized inverse matrix of H _k , also known as the Moore-Penrose generalized inverse matrix, represents the second demodulated information of the kth receiving end, Represents the second demodulation reference signal of the kth receiving end.

Optionally, since R _1,k and R _2,k required for user k to perform multi-user detection are related to both the wide linear precoding matrix T _1,k and T _2,k of the user itself and the wide linear precoding matrix of other users scheduled at the same time, the demodulation reference signal and demodulation reference signal Independent linear precoding is adopted respectively, and its precoding matrices carry the R _1,k and R _2,k information required for wide linear estimation respectively, so that the receiving end only needs to demodulate its own demodulation reference signal without demodulating the demodulation reference signals of other receiving ends, and the detection matrix information required for wide linear estimation can be obtained, thereby reducing the detection complexity of the receiving end.

In the communication method shown in FIG3 , the receiving end can implement the process of determining R _1,k and R _2,k through the following processes of equations (14) to (16).

At the receiving end, the kth receiving end receives the first demodulation reference signal (denoted as demodulation reference signal) in step S202. ) and the second demodulation reference signal (denoted as demodulation reference signal ) then, the kth receiving end can use the demodulation reference signal and The R _1,k and R _2,k required for wide linear estimation are obtained respectively. Among them, Precoded signal After transmission through the channel, the signal received by the kth receiver It can be expressed as:

in, is Gaussian noise.

Based on equation (14), the kth receiver can obtain an estimate of R _1,k :

Similar to the process of obtaining R _1,k , user k can obtain an estimate of R _2,k that satisfies:

After the kth receiving end obtains R _1,k and R _2,k required for wide linear estimation, the kth receiving end performs wide linear estimation on the data signal y _k received in step S201 to obtain an estimate of the transmitted data stream.

From the above implementation process, it can be seen that since the k-th receiving end needs to know the matrices R _{1, k} and R _{2, k} required for wide linear estimation for wide linear detection, by configuring the demodulation reference signal and demodulation reference signal and make and The number of ports is the same as the number of spatial streams of data b _k , which can support the terminal to demodulate the reference signal with the minimum pilot overhead and demodulation reference signal Obtain R _1,k and R _2,k to support wide linear estimation.

In addition, in the MU-MIMO system, the R _1,k and R _2,k required for multi-user detection by the kth receiving end are related to both the wide linear precoding matrices T _1,k and T _2,k of the receiving end and the wide linear precoding matrices of other receiving ends scheduled at the same time. and demodulation reference signal Independent linear precoding is adopted respectively, and its precoding matrix carries the R _1,k and R _2,k information required for wide linear estimation respectively, so that the k-th receiving end only demodulates its own demodulation reference signal without demodulating the demodulation reference signals of other receiving ends, and can obtain the detection matrix information required for wide linear estimation, thereby reducing the detection complexity of users.

Please refer to FIG. 5 . An embodiment of the present application provides a communication device. The communication device 500 can implement the functions of the terminal device in the above method embodiment, and thus can also achieve the beneficial effects possessed by the above method embodiment.

When the communication device 500 is used to implement the embodiment shown in FIG. 2 and any optional embodiment thereof, the processing unit 501 and the transceiver unit 502 included in the communication device 500 are used to perform the following implementation process.

The transceiver unit 501 is used to receive first data;

The transceiver unit 501 is further configured to receive a first demodulation reference signal and a second demodulation reference signal, where the first demodulation reference signal and the second demodulation reference signal are used to demodulate the first data;

The processing unit 502 is configured to demodulate the first data based on the first demodulation reference signal and the second demodulation reference signal.

In one possible implementation,

The first data is carried in a first signal, and the first signal is obtained based on the first data and the conjugate of the first data. In a possible implementation, the first signal satisfies:

x＝T ₁ b+T ₂ b ^* ；

Wherein, x represents the first signal, b represents the first data, b ^* represents the conjugate of the first data, _T1 represents the precoding matrix of the first data, and _T2 represents the conjugate precoding matrix of the first data.

In one possible implementation,

The number of layers of the first data is m, where m is a natural number greater than or equal to 1;

The number of ports of the first demodulation reference signal and the second demodulation reference signal is m.

In one possible implementation,

The first data satisfies a non-regular Gaussian signaling characteristic, and/or the first signal satisfies a non-regular Gaussian signaling characteristic.

In one possible implementation,

The first demodulation reference signal carries first demodulation information, the second demodulation reference signal carries second demodulation information, and the first demodulation information and the second demodulation information are used to obtain an estimate of the first data.

In one possible implementation,

The first demodulation reference signal is obtained by precoding based on a first precoding matrix, and the first precoding matrix is associated with the first demodulation information;

The second demodulation reference signal is obtained by precoding based on a second precoding matrix, and the second precoding matrix is associated with the second demodulation information.

In one possible implementation,

The first precoding matrix associated with the first demodulation information includes:

Wherein, ^F1 represents the first precoding matrix, H ⁺ is the inverse matrix or generalized inverse matrix of H, H represents the channel information of the channel between the transmitting end and the receiving end, is the conjugate transpose of R ₁ , where R ₁ represents the first demodulated information;

The second precoding matrix associated with the second demodulation information includes:

Wherein, ^F2 represents the second precoding matrix, is the conjugate transpose of R ₂ , and R ₂ represents the second demodulated information.

In one possible implementation,

The first precoding matrix is not equal to the precoding matrix of the first data, and/or the second precoding matrix is not equal to the conjugate precoding matrix of the first data.

It should be noted that the information execution process and other contents of the units of the above-mentioned communication device 500 can be specifically referred to the description in the method embodiment shown in the above-mentioned application, and will not be repeated here.

Please refer to FIG. 6 . An embodiment of the present application provides a communication device. The communication device 600 can implement the functions of the network device in the above method embodiment, and thus can also achieve the beneficial effects possessed by the above method embodiment.

When the communication device 600 is used to implement the embodiment shown in FIG. 2 and any optional embodiment thereof, the processing unit 602 and the transceiver unit 601 included in the communication device 600 are used to perform the following implementation process.

The processing unit 602 is used to generate first data;

The transceiver unit 601 is used to send first data;

The processing unit 602 is also used for a first demodulation reference signal and a second demodulation reference signal, wherein the first demodulation reference signal and the second demodulation reference signal are used to demodulate the first data;

The transceiver unit 601 is further configured to send the first demodulation reference signal and the second demodulation reference signal.

In one possible implementation,

The first data is carried in a first signal, and the first signal is obtained based on the first data and the conjugate of the first data. In a possible implementation, the first signal satisfies:

x＝T ₁ b+T ₂ b ^* ；

Wherein, x represents the first signal, b represents the first data, b ^* represents the conjugate of the first data, _T1 represents the precoding matrix of the first data, and _T2 represents the conjugate precoding matrix of the first data.

In one possible implementation,

The number of layers of the first data is m, where m is a natural number greater than or equal to 1;

The number of ports of the first demodulation reference signal and the second demodulation reference signal is m.

In one possible implementation,

The first data satisfies a non-regular Gaussian signaling characteristic, and/or the first signal satisfies a non-regular Gaussian signaling characteristic.

In one possible implementation,

The first demodulation reference signal carries first demodulation information, the second demodulation reference signal carries second demodulation information, and the first demodulation information and the second demodulation information are used to obtain an estimate of the first data.

In one possible implementation,

The first demodulation reference signal is obtained by precoding based on a first precoding matrix, and the first precoding matrix is associated with the first demodulation information;

The second demodulation reference signal is obtained by precoding based on a second precoding matrix, and the second precoding matrix is associated with the second demodulation information.

In one possible implementation,

The first precoding matrix associated with the first demodulation information includes:

Wherein, ^F1 represents the first precoding matrix, H ⁺ is the inverse matrix or generalized inverse matrix of H, H represents the channel information of the channel between the transmitting end and the receiving end, is the conjugate transpose of R ₁ , where R ₁ represents the first demodulated information;

The second precoding matrix associated with the second demodulation information includes:

Wherein, ^F2 represents the second precoding matrix, is the conjugate transpose of R ₂ , and R ₂ represents the second demodulated information.

In one possible implementation,

The first precoding matrix is not equal to the precoding matrix of the first data, and/or the second precoding matrix is not equal to the conjugate precoding matrix of the first data.

It should be noted that the information execution process and other contents of the units of the above-mentioned communication device 600 can be specifically referred to the description in the method embodiment shown in the above-mentioned application, and will not be repeated here.

Please refer to FIG7, which is a communication device involved in the above embodiments provided in the embodiments of the present application. The communication device may specifically be the terminal device in the above embodiments, wherein a possible logical structure diagram of the communication device 700 is shown. The communication device 700 may include but is not limited to at least one processor 701 and a communication port 702. Further optionally, the device may also include at least one of a memory 703 and a bus 704. In the embodiments of the present application, the at least one processor 701 is used to control the actions of the communication device 700.

In addition, the processor 701 can be a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component or any combination thereof. It can implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor can also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a digital signal processor and a microprocessor, and the like. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

It should be noted that the communication device shown in Figure 7 can be specifically used to implement the other steps implemented by the terminal device in the aforementioned corresponding method embodiments, and to achieve the corresponding technical effects of the terminal device. The specific implementation methods of the communication device shown in Figure 7 can refer to the descriptions in the aforementioned method embodiments, and will not be repeated here one by one.

Please refer to Figure 8, which is a structural diagram of the communication device involved in the above embodiments provided in an embodiment of the present application. The communication device can specifically be the network device in the above embodiments, wherein the structure of the communication device can refer to the structure shown in Figure 8.

The communication device includes at least one processor 811 and at least one network interface 814. Further optionally, the communication device also includes at least one memory 812, at least one transceiver 813 and one or more antennas 815. The processor 811, the memory 812, the transceiver 813 and the network interface 814 are connected, for example, through a bus. In an embodiment of the present application, the connection may include various interfaces, transmission lines or buses, etc., which are not limited in this embodiment. The antenna 815 is connected to the transceiver 813. The network interface 814 is used to enable the communication device to communicate with other communication devices through a communication link. For example, the network interface 814 may include a network interface between the communication device and the core network device, such as an S1 interface, and the network interface may include a network interface between the communication device and other communication devices (such as other network devices or core network devices), such as an X2 or Xn interface.

The processor 811 is mainly used to process the communication protocol and communication data, and to control the entire communication device, execute the software program, and process the data of the software program, for example, to support the communication device to perform the actions described in the embodiment. The communication device may include a baseband processor and a central processor. The baseband processor is mainly used to process the communication protocol and communication data, and the central processor is mainly used to control the entire terminal device, execute the software program, and process the data of the software program. The processor 811 in Figure 8 can integrate the functions of the baseband processor and the central processor. It can be understood by those skilled in the art that the baseband processor and the central processor can also be independent processors, interconnected by technologies such as buses. It can be understood by those skilled in the art that the terminal device can include multiple baseband processors to adapt to different network formats, and the terminal device can include multiple central processors to enhance its processing capabilities. The various components of the terminal device can be connected through various buses. The baseband processor can also be described as a baseband processing circuit or a baseband processing chip. The central processor can also be described as a central processing circuit or a central processing chip. The function of processing the communication protocol and communication data can be built into the processor, or it can be stored in the memory in the form of a software program, and the processor executes the software program to realize the baseband processing function.

The memory is mainly used to store software programs and data. The memory 812 can exist independently and be connected to the processor 811. Optionally, the memory 812 can be integrated with the processor 811, for example, integrated into a chip. Among them, the memory 812 can store program codes for executing the technical solutions of the embodiments of the present application, and the execution is controlled by the processor 811. The various types of computer program codes executed can also be regarded as drivers of the processor 811.

FIG8 shows only one memory and one processor. In an actual terminal device, there may be multiple processors and multiple memories. The memory may also be referred to as a storage medium or a storage device, etc. The memory may be a storage element on the same chip as the processor, i.e., an on-chip storage element, or an independent storage element, which is not limited in the embodiments of the present application.

The transceiver 813 can be used to support the reception or transmission of radio frequency signals between the communication device and the terminal, and the transceiver 813 can be connected to the antenna 815. The transceiver 813 includes a transmitter Tx and a receiver Rx. Specifically, one or more antennas 815 can receive radio frequency signals, and the receiver Rx of the transceiver 813 is used to receive the radio frequency signal from the antenna, convert the radio frequency signal into a digital baseband signal or a digital intermediate frequency signal, and provide the digital baseband signal or the digital intermediate frequency signal to the processor 811, so that the processor 811 further processes the digital baseband signal or the digital intermediate frequency signal, such as demodulation and decoding. In addition, the transmitter Tx in the transceiver 813 is also used to receive a modulated digital baseband signal or a digital intermediate frequency signal from the processor 811, and convert the modulated digital baseband signal or the digital intermediate frequency signal into a radio frequency signal, and send the radio frequency signal through one or more antennas 815. Specifically, the receiver Rx can selectively perform one or more stages of down-mixing and analog-to-digital conversion processing on the RF signal to obtain a digital baseband signal or a digital intermediate frequency signal, and the order of the down-mixing and analog-to-digital conversion processing is adjustable. The transmitter Tx can selectively perform one or more stages of up-mixing and digital-to-analog conversion processing on the modulated digital baseband signal or digital intermediate frequency signal to obtain a RF signal, and the order of the up-mixing and digital-to-analog conversion processing is adjustable. The digital baseband signal and the digital intermediate frequency signal can be collectively referred to as a digital signal.

The transceiver may also be referred to as a transceiver unit, a transceiver, a transceiver device, etc. Optionally, a device in a transceiver unit for implementing a receiving function may be regarded as a receiving unit, and a device in a transceiver unit for implementing a sending function may be regarded as a sending unit, that is, the transceiver unit includes a receiving unit and a sending unit, and the receiving unit may also be referred to as a receiver, an input port, a receiving circuit, etc., and the sending unit may be referred to as a transmitter, a transmitter, or a transmitting circuit, etc.

It should be noted that the communication device shown in Figure 8 can be specifically used to implement the steps implemented by the network equipment in the aforementioned method embodiments, and to achieve the corresponding technical effects of the network equipment. The specific implementation methods of the communication device shown in Figure 8 can refer to the descriptions in the aforementioned method embodiments, and will not be repeated here one by one.

An embodiment of the present application also provides a computer-readable storage medium, which is used to store one or more computer-executable instructions. When the computer-executable instructions are executed by a processor, the processor executes the method described in the possible implementation method of the communication device (when implemented by a terminal device) in the aforementioned embodiment.

An embodiment of the present application also provides a computer-readable storage medium, which is used to store one or more computer-executable instructions. When the computer-executable instructions are executed by a processor, the processor executes the method described in the possible implementation method of the communication device (when implemented by a network device) in the aforementioned embodiment.

An embodiment of the present application also provides a computer program product (or computer program). When the computer program product is executed by the processor, the processor executes a method of a possible implementation method of the above-mentioned communication device (when implemented by a terminal device).

An embodiment of the present application also provides a computer program product (or computer program). When the computer program product is executed by the processor, the processor executes a method of a possible implementation method of the above-mentioned communication device (when implemented by a network device).

The embodiment of the present application also provides a chip system, which includes at least one processor for supporting a terminal device to implement the functions involved in the possible implementation of the above-mentioned communication device (when implemented by a terminal device). Optionally, the chip system also includes an interface circuit, which provides program instructions and/or data for the at least one processor. In one possible design, the chip system may also include a memory, which is used to store the necessary program instructions and data for the terminal device. The chip system may be composed of chips, or may include chips and other discrete devices.

The embodiment of the present application also provides a chip system, which includes at least one processor for supporting the network device to implement the functions involved in the possible implementation methods of the above-mentioned communication device (when implemented by the network device). Optionally, the chip system also includes an interface circuit, which provides program instructions and/or data for the at least one processor. In one possible design, the chip system may also include a memory, which is used to store the necessary program instructions and data for the network device. The chip system can be composed of chips, and may also include chips and other discrete devices, wherein the network device can specifically be the network device in the aforementioned method embodiment.

An embodiment of the present application also provides a communication system, and the network system architecture includes the communication device (including a transmitting end and a receiving end) in any of the above embodiments.

In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of a software functional unit. If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program code.

The above is only a specific implementation of the embodiment of the present application, but the protection scope of the embodiment of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or replacements within the technical scope disclosed in the embodiment of the present application, which should be included in the protection scope of the embodiment of the present application. Therefore, the protection scope of the embodiment of the present application should be based on the protection scope of the claims.

Claims (41)

1. A method of communication, comprising:

receiving first data;

receiving a first demodulation reference signal and a second demodulation reference signal, wherein the first demodulation reference signal and the second demodulation reference signal are used for demodulating the first data;

demodulating the first data based on the first demodulation reference signal and the second demodulation reference signal.

2. The method of claim 1, wherein the first data is carried on a first signal, the first signal being obtained based on the first data and a conjugate of the first data.

3. The method of claim 2, wherein the first signal satisfies:

x＝T ₁ b+T ₂ b ^* ；

wherein x represents the first signal, b represents the first data, b ^* Representing the conjugation of the first data, T ₁ A precoding matrix representing the first data, T ₂ A precoding matrix representing a conjugate of the first data.

4. A method according to claim 2 or 3, characterized in that,

the first data satisfies irregular gaussian signaling characteristics and/or the first signal satisfies irregular gaussian signaling characteristics.

5. The method according to any one of claim 1 to 4, wherein,

the number of layers of the first data is m, and m is a natural number which is greater than or equal to 1;

wherein the number of ports of the first demodulation reference signal and the second demodulation reference signal is m.

6. The method according to any one of claim 1 to 5, wherein,

the first demodulation reference signal carries first demodulation information, the second demodulation reference signal carries second demodulation information, and the first demodulation information and the second demodulation information are used for obtaining an estimate of the first data.

7. The method of claim 6, wherein the step of providing the first layer comprises,

the first demodulation reference signal is obtained by pre-coding based on a first pre-coding matrix, and the first pre-coding matrix is associated with the first demodulation information;

The second demodulation reference signal is obtained by precoding based on a second precoding matrix, and the second precoding matrix is associated with the second demodulation information.

8. The method of claim 7, wherein the step of determining the position of the probe is performed,

the first precoding matrix is associated with the first demodulation information including:

wherein F is ¹ Representing the first precoding matrix, the H ⁺ Is an inverse matrix or a generalized inverse matrix of H, which represents channel information of a channel between a transmitting end and a receiving end,is R ₁ Is the conjugate transpose of R ₁ Representing the first demodulation information;

the second precoding matrix associated with the second demodulation information includes:

wherein F is ² Representing the second precoding matrix,is R ₂ Is the conjugate transpose of R ₂ Representing the second demodulation information.

9. The method according to claim 7 or 8, wherein,

the first precoding matrix is not identical to the precoding matrix of the first data and/or the second precoding matrix is not identical to the conjugated precoding matrix of the first data.

10. A method of communication, comprising:

transmitting first data;

and transmitting a first demodulation reference signal and a second demodulation reference signal, wherein the first demodulation reference signal and the second demodulation reference signal are used for demodulating the first data.

11. The method of claim 10, wherein the first data is carried on a first signal, the first signal being obtained based on the first data and a conjugate of the first data.

12. The method of claim 11, wherein the first signal satisfies:

x＝T ₁ b+T ₂ b ^* ；

wherein x represents the first signal, b represents the first data, b ^* Representing the conjugation of the first data, T ₁ A precoding matrix representing the first data, T ₂ A precoding matrix representing a conjugate of the first data.

13. The method according to claim 11 or 12, wherein,

the first data satisfies irregular gaussian signaling characteristics and/or the first signal satisfies irregular gaussian signaling characteristics.

14. The method according to any one of claims 10 to 13, wherein,

the number of layers of the first data is m, and m is a natural number which is greater than or equal to 1;

wherein the number of ports of the first demodulation reference signal and the second demodulation reference signal is m.

15. The method according to any one of claims 10 to 14, wherein,

the first demodulation reference signal carries first demodulation information, the second demodulation reference signal carries second demodulation information, and the first demodulation information and the second demodulation information are used for obtaining an estimate of the first data.

16. The method of claim 15, wherein the step of determining the position of the probe is performed,

the first demodulation reference signal is obtained by pre-coding based on a first pre-coding matrix, and the first pre-coding matrix is associated with the first demodulation information;

the second demodulation reference signal is obtained by precoding based on a second precoding matrix, and the second precoding matrix is associated with the second demodulation information.

17. The method of claim 16, wherein the step of determining the position of the probe comprises,

the first precoding matrix is associated with the first demodulation information including:

wherein F is ¹ Representing the first precoding matrix, the H ⁺ Is an inverse matrix or a generalized inverse matrix of H, which represents channel information of a channel between a transmitting end and a receiving end,is R ₁ Is the conjugate transpose of R ₁ Representing the first demodulation information;

the second precoding matrix associated with the second demodulation information includes:

wherein F is ² Representing the second precoding matrix,is R ₂ Is the conjugate transpose of R ₂ Representing the second demodulation information.

18. The method according to claim 16 or 17, wherein,

the first precoding matrix is not identical to the precoding matrix of the first data and/or the second precoding matrix is not identical to the conjugated precoding matrix of the first data.

19. A communication device, comprising a processing unit and a transceiver unit;

the receiving and transmitting unit is used for receiving first data;

the transceiver unit is further configured to receive a first demodulation reference signal and a second demodulation reference signal, where the first demodulation reference signal and the second demodulation reference signal are used to demodulate the first data;

the processing unit is configured to demodulate the first data based on the first demodulation reference signal and the second demodulation reference signal.

20. The apparatus of claim 19, wherein the device comprises a plurality of sensors,

the first data is carried on a first signal, the first signal being obtained based on the first data and a conjugate of the first data.

21. The apparatus of claim 20, wherein the first signal satisfies:

x＝T ₁ b+T ₂ b ^* ；

wherein x represents the first signal, b represents the first data, b ^* Representing the conjugation of the first data, T ₁ A precoding matrix representing the first data, T ₂ A precoding matrix representing a conjugate of the first data.

22. The apparatus of claim 20 or 21, wherein the device comprises a plurality of sensors,

the first data satisfies irregular gaussian signaling characteristics and/or the first signal satisfies irregular gaussian signaling characteristics.

23. The device according to any one of claims 19 to 22, wherein,

the number of layers of the first data is m, and m is a natural number which is greater than or equal to 1;

wherein the number of ports of the first demodulation reference signal and the second demodulation reference signal is m.

24. The device according to any one of claims 19 to 23, wherein,

the first demodulation reference signal carries first demodulation information, the second demodulation reference signal carries second demodulation information, and the first demodulation information and the second demodulation information are used for obtaining an estimate of the first data.

25. The apparatus of claim 24, wherein the device comprises a plurality of sensors,

the first demodulation reference signal is obtained by pre-coding based on a first pre-coding matrix, and the first pre-coding matrix is associated with the first demodulation information;

the second demodulation reference signal is obtained by precoding based on a second precoding matrix, and the second precoding matrix is associated with the second demodulation information.

26. The apparatus of claim 25, wherein the device comprises a plurality of sensors,

the first precoding matrix is associated with the first demodulation information including:

wherein F is ¹ Representing the first precoding matrix, the H ⁺ Is an inverse matrix or a generalized inverse matrix of H, which represents channel information of a channel between a transmitting end and a receiving end,is R ₁ Is the conjugate transpose of R ₁ Representing the first demodulation information;

the second precoding matrix associated with the second demodulation information includes:

wherein F is ² Representing the second precoding matrix,is R ₂ Is the conjugate transpose of R ₂ Representing the second demodulation information.

27. The apparatus of claim 25 or 26, wherein the device comprises a plurality of sensors,

the first precoding matrix is not identical to the precoding matrix of the first data and/or the second precoding matrix is not identical to the conjugated precoding matrix of the first data.

28. A communication device, comprising a processing unit and a transceiver unit;

the processing unit is used for generating first data;

the receiving and transmitting unit is used for transmitting first data;

the processing unit is further configured to perform first demodulation reference signal and second demodulation reference signal, where the first demodulation reference signal and the second demodulation reference signal are used to demodulate the first data;

the transceiver unit is further configured to transmit the first demodulation reference signal and the second demodulation reference signal.

29. The apparatus of claim 28, wherein the device comprises a plurality of sensors,

the first data is carried on a first signal, the first signal being obtained based on the first data and a conjugate of the first data.

30. The apparatus of claim 29, wherein the first signal satisfies:

x＝T ₁ b+T ₂ b ^* ；

wherein x represents the first signal, b represents the first data, b ^* Representing the conjugation of the first data, T ₁ A precoding matrix representing the first data, T ₂ Pre-conjugate representing the first dataAnd (3) encoding a matrix.

31. The apparatus of claim 29 or 30, wherein the device comprises a plurality of sensors,

the first data satisfies irregular gaussian signaling characteristics and/or the first signal satisfies irregular gaussian signaling characteristics.

32. The device according to any one of claims 28 to 31, wherein,

the number of layers of the first data is m, and m is a natural number which is greater than or equal to 1;

wherein the number of ports of the first demodulation reference signal and the second demodulation reference signal is m.

33. The device according to any one of claims 28 to 32, wherein,

the first demodulation reference signal carries first demodulation information, the second demodulation reference signal carries second demodulation information, and the first demodulation information and the second demodulation information are used for obtaining an estimate of the first data.

34. The apparatus of claim 33, wherein the device comprises a plurality of sensors,

the first demodulation reference signal is obtained by pre-coding based on a first pre-coding matrix, and the first pre-coding matrix is associated with the first demodulation information;

the second demodulation reference signal is obtained by precoding based on a second precoding matrix, and the second precoding matrix is associated with the second demodulation information.

35. The apparatus of claim 34, wherein the device comprises a plurality of sensors,

the first precoding matrix is associated with the first demodulation information including:

wherein F is ¹ Representing the first precoding matrix, the H ⁺ Is an inverse matrix or a generalized inverse matrix of H, which represents channel information of a channel between a transmitting end and a receiving end,is R ₁ Is the conjugate transpose of R ₁ Representing the first demodulation information;

the second precoding matrix associated with the second demodulation information includes:

wherein F is ² Representing the second precoding matrix,is R ₂ Is the conjugate transpose of R ₂ Representing the second demodulation information.

36. The apparatus of claim 34 or 35, wherein the device comprises a plurality of sensors,

the first precoding matrix is not identical to the precoding matrix of the first data and/or the second precoding matrix is not identical to the conjugated precoding matrix of the first data.

37. A communication device comprising at least one logic circuit and an input-output interface;

the input/output interface is used for inputting first data;

the input-output interface is further configured to input a first demodulation reference signal and a second demodulation reference signal, where the first demodulation reference signal and the second demodulation reference signal are used for demodulating the first data;

the logic circuit is configured to perform the method of any one of claims 1 to 9.

38. A communication device comprising at least one logic circuit and an input-output interface;

the input/output interface is used for outputting first data;

the input-output interface is further configured to output a first demodulation reference signal and a second demodulation reference signal, where the first demodulation reference signal and the second demodulation reference signal are used for demodulating the first data;

the logic circuit is configured to perform the method of any one of claims 10 to 18.

39. A communication system, characterized in that,

the communication system comprising the communication device of any one of claims 19 to 27, and the communication device of any one of claims 28 to 36;

Or,

the communication system comprising the communication device of claim 37 and the communication device of claim 38.

40. A computer readable storage medium, characterized in that the medium stores instructions which, when executed by a computer, implement the method of any one of claims 1 to 18.

41. A computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of any one of claims 1 to 18.