WO2024032595A1

WO2024032595A1 - Data communication method and apparatus

Info

Publication number: WO2024032595A1
Application number: PCT/CN2023/111698
Authority: WO
Inventors: 彭念; 关文康; 花梦; 铁晓磊; 李峰
Original assignee: 华为技术有限公司
Priority date: 2022-08-12
Filing date: 2023-08-08
Publication date: 2024-02-15
Also published as: CN117640295A

Abstract

Provided in the present application are a data transmission method and apparatus. The method comprises: a receiving apparatus receiving first information from a sending apparatus; according to the first information, the receiving apparatus estimating a first precoding matrix used when the sending apparatus sends a first data channel in a first time unit, so as to obtain a second precoding matrix; and the receiving apparatus receiving the first data channel according to the second precoding matrix. The data transmission method and apparatus provided in the present application can save on a large amount of transmission overheads. The power amplification efficiency of a sending apparatus can also be improved, and the energy consumption of a base station is reduced.

Description

Data communication methods and devices

This application claims priority to the Chinese patent application filed with the China Patent Office on August 12, 2022, with the application number 202210972073.1 and the application title "Data Communication Method and Device", the entire content of which is incorporated into this application by reference.

Technical field

The present application relates to the field of communications, and more specifically, to a method and device for data communications.

Background technique

In order to improve the spectrum utilization efficiency of 5.5 generation (G) and future wireless communication systems, the technical concept of super-quadrature amplitude modulation (Super-QAM) came into being. For example, the modulation orders of Super-QAM range from 1024 to 4096 or even higher modulation orders. Currently, among the factors that have a negative impact on the demodulation performance of Super-QAM, the nonlinear interference of the communication link has the most serious adverse effects. One implementation method is to perform linearization processing on the received signal at the receiving device to ensure the linearity of the signal before demodulation by the receiving device. However, in the current multiple-input multiple-output scenario, the transmitting device has many transmitting antennas, and the volume of parameters related to nonlinear interference is also large. If the receiving device wants to linearize the received signal, it needs to receive a large amount of information from the sending device, such as parameters related to nonlinear interference, so the transmission overhead generated by this implementation is also large. Therefore, how to reduce transmission overhead has become an urgent problem to be solved.

Contents of the invention

This application provides a data communication method and device, which can reduce transmission overhead.

In a first aspect, a data communication method is provided, which method can be executed by a receiving device, or can also be executed by a component of the receiving device. The method includes: receiving first information from a sending device; estimating a first precoding matrix used by the sending device when sending a first data channel in a first time unit based on the first information to obtain a second precoding matrix ; Receive the first data channel according to the second precoding matrix.

In the above solution, the receiving device estimates the first precoding matrix used by the sending device when sending the first data channel, so that the subsequent receiving device can linearize the first data channel, thereby enhancing the demodulation performance of super QAM. Compared with the sending device directly sending the first precoding matrix to the receiving device, a large amount of transmission overhead can be saved. Compared with the method of reducing nonlinear interference on the transmitting device side, the above solution can improve the power amplification efficiency of the transmitting device and reduce the energy consumption of the base station.

In a possible implementation, receiving the first data channel according to the second precoding matrix includes: determining nonlinear model parameters when the sending device sends the first data channel according to the second precoding matrix; Nonlinear model parameters receive the first data channel.

In a possible implementation, the method further includes: receiving a first reference signal from the transmitting device, where the first reference signal is a channel state information-reference signal (CSI-RS) or (sounding RS, SRS); receiving a second reference signal from the transmitting device, the second reference signal being a demodulation reference signal (DMRS) of the first data channel; transmitting to the transmitting device according to the first information Estimating the first precoding matrix used when transmitting the first data channel specifically includes: estimating the first precoding matrix used by the transmitting device when transmitting the first data channel based on the first information, the first reference signal and the second reference signal. the first precoding matrix.

In the above solution, the receiving device estimates the precoding matrix by receiving the first reference signal and the second reference signal from the sending device. Compared with the sending device directly sending the first precoding matrix to the receiving device, a large amount of transmission overhead can be saved.

In a possible implementation, the first information includes second information, the second information indicates the corresponding relationship between the transmission port of the first reference signal and the transmission port of the second reference signal; according to the first information, The first reference signal and the second reference signal, estimating the first precoding matrix used by the sending device when sending the first data channel includes: according to the first reference signal, the second reference signal, and the corresponding relationship, Estimate the first precoding matrix used by the sending device when sending the first data channel.

The above solution can avoid the situation where the first reference signal transmitting port and the second reference signal transmitting port are different. The problem is that the second precoding matrix obtained through estimation is too different from the first precoding matrix, so that the second precoding matrix cannot be used for nonlinear processing of the first data channel. The above solution can improve the accuracy of the receiving device in estimating the precoding matrix and improve the efficiency of estimating the precoding matrix, so as to improve the accuracy of the receiving device in linearizing the first data channel and enhance the demodulation performance of super QAM.

In a possible implementation, the second information indicates that the transmission port of the first reference signal and the transmission port of the second reference signal are the same; or, the second information indicates the port number of the first reference signal and the second reference signal. Port number of the reference signal.

In a possible implementation, the first information also includes a modulation and coding scheme index.

In a possible implementation, when the modulation and coding scheme index is greater than or equal to the first threshold, the precoding granularity corresponding to the first precoding matrix is a precoding granularity in the first precoding granularity set, and the precoding granularity corresponding to the first precoding granularity set is a precoding granularity. The precoding granularity corresponding to one precoding matrix is an integer number of resource blocks RB, and the precoding matrices used on the frequency domain resources of one precoding granularity are the same; or when the modulation and coding scheme index is less than the first threshold, The precoding granularity corresponding to the first precoding matrix is a precoding granularity in a second precoding granularity set, and the second precoding granularity set is not identical or completely different from the first precoding granularity set.

The above solution enables the sending device and the receiving device to have a consistent understanding of the precoding granularity without increasing signaling interaction, further saving signaling overhead. For scenarios in which the modulation and coding scheme index is greater than or equal to the first threshold, and the modulation and coding scheme index is less than the first threshold, select the first precoding matrix corresponding to the two precoding granularity sets that are not identical or completely different. Precoding granularity. Furthermore, the precoding granularity corresponding to the first precoding matrix in the former scenario is different from the precoding granularity corresponding to the first precoding matrix in the latter scenario. Therefore, the precoding granularity corresponding to the first precoding matrix can be flexibly adjusted according to different requirements of high-order or low-order modulation scenarios.

In a possible implementation manner, when the modulation and coding scheme index is greater than or equal to the second threshold, the precoding granularity corresponding to the first precoding matrix is the full bandwidth of the first data channel.

The above solution, in high-order modulation scenarios, configures the first precoding matrix with the largest precoding granularity as much as possible, further reducing the number and complexity of precoding estimation, thereby reducing the complexity of linearization processing and reducing resource consumption.

In a possible implementation, the first information also includes third information, the third information indicates the precoding granularity corresponding to the first precoding matrix, and the precoding granularity corresponding to the first precoding matrix is larger than the precoding granularity corresponding to the physical resource. The block aggregate size indication indicates the frequency domain resource size.

In the above scheme, compared with the currently commonly used frequency domain resource size indicated by the physical resource block aggregation size indication, the precoding granularity corresponding to the second precoding matrix is larger, thereby reducing the number of precoding estimations by the receiving device and reducing the processing time. the complexity.

In a possible implementation, the method further includes: sending capability information to the sending device, where the capability information indicates the precoding granularity or the number of subbands corresponding to the precoding matrix supported by the receiving device.

In the above solution, the receiving device reports its own capability information to the sending device, the sending device determines the coding granularity of the first precoding matrix for sending the first data channel based on the capability information of the receiving device, and the receiving device determines the second precoding matrix based on the capability information. The precoding granularity corresponding to the coding matrix. It is possible to further improve the accuracy of the second precoding matrix obtained through estimation relative to the first precoding matrix, improve the success rate of linearization processing, and thereby enhance the demodulation performance of super QAM.

In a possible implementation, the first information also includes fourth information, the fourth information indicating the first precoding matrix and the third matrix used by the sending device when sending the second data channel in the second time unit. Whether the precoding matrices are the same and the second time unit is before the first time unit, the method also includes: when the first precoding matrix is the same as the third precoding matrix, determine to estimate the third precoding matrix The obtained fourth precoding matrix is the second precoding matrix.

In the above solution, the sending device indicates to the receiving device whether the fourth precoding matrix corresponding to the second time unit is the same as the second precoding matrix corresponding to the first time unit. The receiving device can compare the second precoding matrix and the fourth precoding matrix. When the matrices are the same, the fourth precoding matrix is used as the second precoding matrix, so that there is no need to estimate the first precoding matrix. The above solution can reduce the number of precoding estimations, reduce the complexity of determining the second precoding matrix, and reduce overhead.

A second aspect provides a data communication method, which is a method executed by a sending device corresponding to the method of the first aspect, and therefore can also achieve the beneficial effects achieved by the method of the first aspect. The method can also be carried out by components of the transmitting device. The method includes: sending first information to a receiving device; sending a first data channel to the receiving device using a first precoding matrix within a first time unit, the first information being used to estimate the first precoding matrix.

In a possible implementation, first reference information is sent to the receiving device, and the first reference signal is CSI-RS or SRS; and a second reference signal is sent to the receiving device, and the second reference signal is the first data. Channel DMRS.

In a possible implementation, the first information includes second information, and the second information indicates a corresponding relationship between the transmission port of the first reference signal and the transmission port of the second reference signal.

In a possible implementation, the second information indicates that the transmission port of the first reference signal and the transmission port of the second reference signal are the same; or, the second information indicates the port number of the first reference signal and the port number of the second reference signal. 2. The port number of the reference signal.

In a possible implementation, the method further includes: receiving capability information from the receiving device, where the capability information indicates that the receiving device supports the precoding granularity or the number of subbands corresponding to the precoding matrix.

In a possible implementation, the first information also includes fourth information, the fourth information indicating the first precoding matrix and the third matrix used by the sending device when sending the second data channel in the second time unit. Whether the precoding matrices are the same, the second time unit is before the first time unit.

In a third aspect, a data communication method is provided, which method can be executed by a receiving device, or can also be executed by a component of the receiving device. The method includes: receiving first transmit power information from a transmitting device, the first transmit power information indicating an average transmit power of the transmitting device within a first time unit; and determining a first transmit power of the transmitting device according to the first transmit power information. Nonlinear model parameters; receiving the first data channel within the first time unit according to the first nonlinear model parameters.

In the above scheme, the receiving device determines the first nonlinear model parameters used by the transmitting device when transmitting the first data channel according to the first transmit power information, so that the subsequent receiving device can linearize the first data channel, thereby enhancing the performance of super QAM. Compared with the sending device directly sending the first precoding matrix to the receiving device, the demodulation performance can save a large amount of transmission overhead. Compared with the method of reducing nonlinear interference on the transmitting device side, the above solution can improve the power amplification efficiency of the transmitting device and reduce the energy consumption of the base station.

In a possible implementation, the first transmit power information may indicate a value of the average transmit power, or indicate an index of the value of the average transmit power, or indicate a level or power bracket to which the average transmit power belongs.

In a possible implementation, the method further includes: receiving second transmit power information from the transmitting device, the second transmit power information indicating the average transmit power of the transmitting device in a second time unit, the second time unit Before the first time unit, determining the first nonlinear model parameters of the transmitting device according to the first transmit power information includes: when the first transmit power information is different from the second transmit power information, determining according to the first transmit power information. Transmit power information determines the first nonlinear model parameters.

In a possible implementation, determining the first nonlinear model parameters of the transmitting device according to the first transmit power information includes: when the first transmit power information is the same as the second transmit power information, determining the first nonlinear model parameters according to the first transmit power information. The second nonlinear model parameters of the transmitting device determined by the second transmit power information are used as the first nonlinear model parameters.

In the above solution, when the first transmit power information and the second transmit power information are the same, the receiving device can obtain the first nonlinear parameter model without calculation or processing, and directly use the second nonlinear model parameters as the first nonlinear model. parameter. The above solution can reduce the complexity of determining the parameters of the first nonlinear model and reduce the overhead.

A fourth aspect provides a data communication method, which is a method executed by a sending device corresponding to the method of the third aspect, and therefore can also achieve the beneficial effects achieved by the method of the third aspect. The method can also be carried out by components of the transmitting device. The method includes: sending first transmit power information to a receiving device, the first transmit power information indicating the average transmit power of the transmitting device in a first time unit; and sending a first data channel in the first time unit.

In a possible implementation, the method further includes: sending second transmit power information to the receiving device, the second transmit power information indicating the average transmit power of the transmitting device in a second time unit, and the second time unit before the first time unit.

In a fifth aspect, a communication device is provided, which is used to perform any of the possible implementation methods of the above first to fourth aspects. method in. Specifically, the device may include units and/or modules for performing the method in any possible implementation of the first to fourth aspects, such as a transceiver unit and/or a processing unit.

In a possible implementation, the transceiver unit may be a transceiver, or an input/output interface; the processing unit may be at least one processor, or a processing circuit. Alternatively, the transceiver may be a transceiver circuit. Alternatively, the input/output interface may be an input/output circuit.

A sixth aspect provides a communication device, characterized by including a processor and an interface circuit, the interface circuit being used to receive signals from other communication devices and transmit them to the processor or to send signals from the processor to Other communication devices, the processor is used to implement the method in any possible implementation manner of the above-mentioned first to fourth aspects through logic circuits or execution of code instructions.

In a seventh aspect, a communication device is provided, including a processor and a memory. The processor is used to read instructions stored in the memory, and can receive signals through a transceiver and transmit signals through a transmitter to execute the method in any possible implementation manner of the first to fourth aspects.

An eighth aspect provides a computer-readable storage medium, characterized in that a computer program or instructions are stored in the storage medium, and when the computer program or instructions are executed by a communication device, any of the first to fourth aspects can be implemented. A method among possible implementations.

A ninth aspect provides a computer program product containing instructions, which when the computer program product is run on a communication device, causes the communication device to execute the method in any of the possible implementations of the first to fourth aspects.

In a tenth aspect, a computer program instruction is provided. When the computer program instruction is run on a computer, it causes the computer to execute the method in any one of the possible implementation modes of the first aspect to the fourth aspect.

Description of drawings

Figure 1 is an architectural schematic diagram of a mobile communication system applied in an embodiment of the present application;

Figure 2 shows a schematic diagram of the sending end sending signals;

Figure 3 shows a schematic diagram of the data communication method 200 provided by this application;

Figure 4 shows a schematic diagram of a data communication method 300 provided by this application;

Figure 5 shows a schematic diagram of CSI-RS port configuration DMRS port configuration;

Figure 6 shows a schematic diagram of an example of precoding granularity;

Figure 7 shows a schematic diagram of another example of precoding granularity;

Figure 8 shows a schematic diagram of the data communication method 400 provided by this application;

Figure 9 shows the correspondence between the time when the transmitting device sends the first transmit power information and the period in which the average transmit power of the transmitting device changes;

Figure 10 shows the constellation diagram before and after nonlinear distortion compensation for nonlinear signals;

Figure 11 is a schematic block diagram of the communication device provided by this application;

Figure 12 is another schematic block diagram of the communication device provided by this application.

Detailed ways

The technical solutions in this application will be described below with reference to the accompanying drawings.

Figure 1 is a schematic architectural diagram of a mobile communication system applied in an embodiment of the present application. As shown in Figure 1, the mobile communication system includes a core network device 100, a radio access network device 110 and at least one terminal device (terminal device 120 and terminal device 130 in Figure 1). The terminal equipment is connected to the wireless access network equipment through wireless means, and the wireless access network equipment is connected to the core network equipment through wireless or wired means. The core network equipment and the radio access network equipment can be independent and different physical devices, or the functions of the core network equipment and the logical functions of the radio access network equipment can be integrated on the same physical device, or they can be one physical device. It integrates the functions of some core network equipment and some functions of wireless access network equipment. Terminal equipment can be fixed or movable. Figure 1 is only a schematic diagram. The communication system may also include other network equipment, such as wireless relay equipment and wireless backhaul equipment, which are not shown in Figure 1 . The embodiments of the present application do not limit the number of core network equipment, radio access network equipment, and terminal equipment included in the mobile communication system.

Wireless access network equipment is the access equipment that terminal equipment wirelessly accesses into the mobile communication system. It can be a base station NodeB, an evolved base station eNodeB, a base station gNodeB in an NR mobile communication system, or a base station in a future mobile communication system. Or an access node in a WiFi system, etc. The embodiments of this application do not limit the specific technology and specific equipment form used by the wireless access network equipment.

Terminal equipment can also be called terminal, user equipment (UE), mobile station, mobile terminal, etc. Terminal devices can be mobile phones, tablets, computers with wireless transceiver functions, virtual reality terminal devices, augmented reality terminal devices, wireless terminals in industrial control, wireless terminals in driverless driving, wireless terminals in remote surgery, and smart grids. Wireless terminals in transportation security, wireless terminals in smart cities, wireless terminals in smart homes, etc.

Wireless access network equipment (or access network elements) and terminal equipment can be deployed on land, including indoors or outdoors, handheld or vehicle-mounted; they can also be deployed on water; they can also be deployed on aircraft, balloons and satellites in the air . The embodiments of this application do not limit the application scenarios of wireless access network equipment and terminal equipment.

The embodiments of the present application may be applicable to downlink signal transmission, uplink signal transmission, or device-to-device (D2D) signal transmission. For downlink signal transmission, the sending device is the wireless access network device, and the corresponding receiving device is the terminal device. For uplink signal transmission, the sending device is the terminal device, and the corresponding receiving device is the wireless access network device. For D2D signal transmission, the sending device is a terminal device, and the corresponding receiving device is also a terminal device. The transmission direction of signals in the embodiments of this application is not limited.

Wireless access network equipment and terminal equipment, and terminal equipment and terminal equipment, can communicate through licensed spectrum (licensed spectrum), unlicensed spectrum (unlicensed spectrum), or both licensed spectrum and unlicensed spectrum. Licensed spectrum for communications. Wireless access network equipment and terminal equipment, as well as terminal equipment and terminal equipment, can communicate through spectrum below 6G or above 6G, and can also use spectrum below 6G and spectrum above 6G at the same time. communicate. The embodiments of the present application do not limit the spectrum resources used between the radio access network device and the terminal device.

In order to facilitate understanding of the embodiments of this application, some technical terms involved in this application are introduced below.

1. Nonlinear distortion: refers to the distortion of the output signal caused by the inability of the output and input of the transmission system or device to maintain a linear relationship.

2. Digital post-distortion (DPoD): The receiving end performs distortion compensation operation on the distortion.

3. Precoding matrix: The sending equipment (such as network equipment) can process the signal to be sent with the help of a precoding matrix that matches the channel resources when the channel status is known, so that the precoded signal to be sent is consistent with the channel Adapt to each other, thereby reducing the complexity of the receiving device (such as a terminal device) in eliminating inter-channel effects. Therefore, by precoding the signal to be transmitted, the quality of the received signal (such as signal to interference plus noise ratio (SINR), etc.) can be improved. It should be understood that the relevant descriptions of precoding technology are only examples to facilitate understanding and are not used to limit the scope of protection of the embodiments of the present application.

Nonlinear interference in communication links is mainly caused by the transmitter link and the receiver link. At present, although the method of applying digital pre-distortion (DPD) to the transmitter link to compensate for nonlinear distortion has achieved certain results, it has encountered a bottleneck. Moreover, the optimal effect achieved by linearizing the transmitter link cannot meet the linearity requirements of Super-QAM. One implementation method is to perform linearization processing on the received signal at the receiving device to ensure the linearity of the signal before demodulation by the receiving device. However, in the current multiple-input multiple-output scenario, the transmitting device has many transmitting antennas, and the volume of parameters related to nonlinear interference is also large. If the receiving device wants to linearize the received signal, it needs to receive a large amount of information from the transmitting device, such as parameters related to nonlinear interference, resulting in a large transmission overhead. Therefore, how to reduce transmission overhead has become an urgent problem to be solved.

Figure 2 shows a schematic diagram of the sending end sending signals. Figure 2 takes the multiple-input multiple-output scenario as an example. Each Y-shaped straight line on the far right represents an antenna. The data symbols or signals on each antenna are precoded and inverse discrete Fourier transform (IDFT). ), add cyclic prefix (ADD CP), power amplifier (PA) and then send it through the antenna port. Specifically, S ₁ ... S _L are L physical downlink shared channels (PDSCH), and X ₁ is the PDSCH on the antenna and the corresponding DMRS after precoding and the channel state information reference signal (channel The signal obtained by adding state information-reference signal (CSI-RS) is similar to X ₂ ...X _M on other antennas. x ₁ ...x _M are respectively the signals obtained by _X ₁ ... _{X M} _after being processed by IDFT and ADD CP.

It can be seen from Figure 2 that the precoding process and PA-related parameters experienced by the signal sent by the sending device cause nonlinear interference to the signal sent by the sending device, thereby producing nonlinear distortion. Therefore, if the receiving device wants to linearize the received signal, it needs to obtain the precoding matrix used by the sending device and the parameters related to the PA.

The data communication method and device provided by this application will be introduced in detail below with reference to Figures 3 to 9.

For the data communication method provided by this application, in one implementation, the sending device may be the wireless access network device in Figure 1, and the receiving device may be the terminal device in Figure 1; in another implementation, the receiving device may It is the radio access network equipment in Figure 1, and the sending device can be the terminal equipment in Figure 1.

Illustratively, the data communication method provided by this application can be understood as the receiving device processing the nonlinear signal from the sending device. part of the linearization process. For example, the data communication method provided by this application can be combined with a nonlinear compensation process.

FIG. 3 shows a schematic diagram of the data communication method 200 provided by this application.

S201. The sending device sends first information to the receiving device. Correspondingly, the receiving device receives the first information from the sending device.

The first information is used to estimate the first precoding matrix used by the sending device when sending the first data channel in the first time unit.

S202: The receiving device estimates the first precoding matrix used by the sending device when transmitting the first data channel in the first time unit based on the first information, and obtains the second precoding matrix.

If the second precoding matrix estimated from the first precoding matrix is accurate, the first precoding matrix and the second precoding matrix may be exactly the same. Alternatively, it can be understood that the deviation of the second precoding matrix relative to the first precoding matrix is smaller than the preset value.

S203. In the first time unit, the sending device uses the first precoding matrix to send the first data channel to the receiving device. Correspondingly, the receiving device receives the first data channel according to the second precoding matrix.

For example, when the sending device is a radio access network device and the receiving device is a terminal device, the first data channel may be PDSCH. When the sending device is a terminal device and the receiving device is a wireless access network device, the first data channel may be a physical uplink shared channel.

In the above solution, the receiving device estimates the first precoding matrix used by the sending device when sending the first data channel, so that the subsequent receiving device can linearize the first data channel, thereby enhancing the demodulation performance of super QAM. Compared with the sending device directly sending the first precoding matrix to the receiving device, a large amount of transmission overhead can be saved.

It should be understood that for a transmitting device, the energy of nonlinear interference is proportional to the power amplification efficiency. If the nonlinear interference of the communication link is reduced by reducing the nonlinear interference on the transmitting device side, the power amplification efficiency of the transmitting device will also be limited, and thus the efficiency of the transmitting device in transmitting energy will also be affected. Therefore, compared with the method of reducing nonlinear interference on the transmitting device side, the above solution can improve the power amplification efficiency of the transmitting device and reduce the energy consumption of the base station.

As an example of S203, the receiving device determines the nonlinear model parameters when the sending device transmits the first data channel according to the second precoding matrix. The receiving device receives the first data channel according to the nonlinear model parameters. For example, the nonlinear model parameters here can be the number of terms, delays, coefficients, etc. of the nonlinear model.

Optionally, the method 100 may further include: the first information includes fourth information, and the fourth information indicates the first precoding matrix and the third precoding matrix used by the transmitting device when transmitting the second data channel in the second time unit. Whether they are the same, the second time unit is before the first time unit. When the first precoding matrix and the third precoding matrix are the same, the sending device determines that the fourth precoding matrix obtained by estimating the third precoding matrix is the second precoding matrix. Optionally, the second time unit is adjacent to the first time unit.

Further, when the first precoding matrix and the third precoding matrix are the same or different, S202 can be performed. Alternatively, S202 may also be performed only when the first precoding matrix and the third precoding matrix are different.

A specific example is given below with reference to Figure 4 for S202 in method 200. FIG. 4 shows a schematic diagram of the data communication method 300 provided by this application.

S301. The sending device sends a first reference signal to the receiving device. Correspondingly, the receiving device receives the first reference signal from the sending device.

Wherein, the sending device does not use the first precoding matrix when sending the first reference signal. For example, the first reference signal is CSI-RS or SRS;

S302. The sending device sends a second reference signal to the receiving device. Correspondingly, the receiving device receives the second reference signal from the sending device.

Wherein, both the second reference signal and the first data channel use the first precoding matrix. For example, the second reference signal is a demodulation reference signal (DMRS) of the first data channel.

S303 can be used as a specific example of S202. S303: The receiving device estimates the first precoding matrix used by the sending device when transmitting the first data channel based on the first information, the first reference signal and the second reference signal.

Optionally, in method 300, when estimating the first precoding matrix, the receiving device further considers the impact of the corresponding relationship between the transmission port of the first reference signal and the transmission port of the second reference signal on the estimation result (i.e., the above-mentioned second precoding matrix).

S303’ can be used as another specific example of S202. S303': The receiving device estimates the first precoding matrix based on the first reference signal, the second reference signal, the correspondence between the transmission port of the first reference signal and the transmission port of the second reference signal.

It should be understood that the transmission port of the first reference signal and the transmission port of the second reference signal may be different. In order to estimate the first precoding matrix more accurately, based on S303', the receiving device estimates the first precoding matrix using the same transmission port among the transmission port of the first reference signal and the transmission port of the second reference signal.

The following description takes the first reference signal as CSI-RS and the second reference signal as DMRS as an example. It should be understood that the sending device periodically sends CSI-RS. In each sending cycle, the sending device may send multiple CSI-RSs, and the sending ports of the multiple CSI-RSs are not exactly the same. And one CSI-RS is only sent once in one transmission cycle. As for DMRS, as long as the sending device sends data to the receiving device, the sending device will send DMRS to the receiving device. Therefore, within one CSI-RS transmission cycle, the DMRS transmission port may be different from the CSI-RS transmission port on one or more time units. For example, CSI-RS may have multiple sets of transmit port combinations, in which all ports in one or more transmit port combinations are consistent with some or all of the transmit ports of DMRS, or some ports in one or more transmit port combinations Same as some or all of the DMRS sending ports.

For example, the corresponding relationship between the transmission port of the first reference signal and the transmission port of the second reference signal can be indicated in various ways.

Example 1-1, the first information includes second information, the second information indicates that the transmission port of the first reference signal and the transmission port of the second reference signal are the same.

Example 1-2, the first information includes second information, the second information indicates the port number of the first reference signal and the port number of the second reference signal.

An example is given below in conjunction with Figure 5. For example, there are 16 available sending ports corresponding to CSI-RS. The CSI-RS port has two sets of transmit port combinations, such as CSI-RS port configuration (set) 1 and CSI-RS port configuration 2 in (a) of Figure 5. Among them, each circle represents a transmit port. In different CSI-RS port configurations, circles filled with slashes represent used transmit ports, and unfilled circles represent unused transmit ports. Each CSI-RS corresponds to 8 ports. Configure the first 8 ports of the 16 available sending ports as CSI-RS port configuration 1, and configure the last 8 ports of the 16 available sending ports as CSI-RS port 2.

Step 1: The access network element configures the two sets of transmission port combination information to the terminal device through the port set indication information, such as total port number information, port mapping bitmap information, etc. For example, the access network element sends port set indication information to the terminal device through radio resource control (RRC) signaling. The port set indication information uses a bitmap to indicate (a) in Figure 5, for example. The CSI-RS port configuration 1 and CSI-RS port configuration 2 shown below. For example, use 1111111100000000 and 0000000011111111 to indicate CSI-RS port configuration 1 and CSI-RS port configuration 2 respectively.

Step 2: The access network element uses DCI to indicate which combination of the current DMRS sending ports is. For example, CSI-RS port configuration 1 is indicated by 0, and CSI-RS port configuration 2 is indicated by 1.

Step 3: The terminal device determines the current DMRS sending port according to the DCI.

For example, the indication field of DCI used to indicate the current DMRS transmission port is bit 0, then the terminal device can determine based on the DCI that the current DMRS transmission port is the same as CSI-RS port configuration 1, that is, the current DMRS transmission port is as shown in Figure 5 (b) is shown.

Example 1-3: The second indication information indicates the same transmission port of the first reference signal transmission port as the second reference signal transmission port. Alternatively, the second indication information indicates the same transmission port as the first reference signal transmission port among the transmission ports of the second reference signal.

For example, the second indication information indicates that the port index is {1, 2, 3, 4}. Several possible scenarios are given below. In case 1, the index of the sending port of the first reference signal includes {1, 2, 3, 4}. The index of the transmission port of the second reference signal includes {1, 2, 3, 4}. In case 2, the index of the sending port of the first reference signal includes {1, 2, 3, 4}. The index of the transmission port of the second reference signal includes {1, 2, 3, 4, 5, 6, 7, 8}. In case 3, the index of the sending port of the second reference signal includes {1, 2, 3, 4}. The index of the transmission port of the second reference signal #1 includes {1, 2}, and the index of the transmission port of the second reference signal #2 includes {3, 4}. In case 4, the index of the sending port of the second reference signal includes {1, 2, 3, 4}. The index of the transmission port of the second reference signal #1 includes {1, 2, 5, 6}, and the index of the transmission port of the second reference signal #2 includes {3, 4, 7, 8}.

In the following, with reference to Figures 6 to 7, for S202, several implementation methods for determining the precoding granularity corresponding to the second precoding matrix estimated by the receiving device are given. The precoding granularity involved in this application can be understood as the size of frequency resources using the same precoding matrix. Each small square in Figure 6 and Figure 7 represents an RB. In every 12 consecutive small squares, small squares filled with different patterns represent RBs using different precoding matrices.

Implementation Mode 1: The receiving device and the transmitting device agree that the precoding granularity corresponding to the second precoding matrix is different from the precoding granularity corresponding to the second precoding matrix when high-order modulation or super-QAM (for example, the MCS index is greater than or equal to the first threshold) and when low-order modulation (for example, The MCS index is smaller than the first threshold).

The receiving device and the transmitting device determine the precoding granularity corresponding to the first precoding matrix according to the modulation and coding scheme (MCS) index. Wherein, the first information received by the receiving device from the sending device may also include the MCS index.

The precoding granularity corresponding to the first precoding matrix here can be understood as the first precoding matrix used by the sending device when sending the first data channel, and the second precoding matrix used by the receiving device when receiving the first data channel. , corresponding to the same precoding granularity.

The above solution enables the sending device and the receiving device to have a consistent understanding of the precoding granularity without increasing signaling interaction, further saving signaling overhead.

When the modulation and coding scheme index is greater than or equal to the first threshold, the precoding granularity corresponding to the first precoding matrix is a precoding granularity in the first precoding granularity set. The precoding granularity is an integer number of resource blocks (RBs). Furthermore, the receiving device and the transmitting device use the same precoding matrix on frequency domain resources of one precoding granularity.

When the modulation and coding scheme index is less than the first threshold, the precoding granularity corresponding to the first precoding matrix is a precoding granularity in the second precoding granularity set. Wherein, the second precoding granularity set is not exactly the same as or completely different from the first precoding granularity set.

The above solution selects the precoding granularity corresponding to the first precoding matrix from two precoding granularity sets that are not identical or completely different for high-order modulation and low-order modulation scenarios. Furthermore, the precoding granularity corresponding to the first precoding matrix in a high-order modulation scenario is different from the precoding granularity corresponding to the first precoding matrix in a low-order modulation scenario. Therefore, the precoding granularity corresponding to the first precoding matrix can be flexibly adjusted according to different requirements of high-order or low-order modulation scenarios.

An example of the first precoding granularity set and the second precoding granularity set is given below in conjunction with Table 1. As shown in Table 1, the first column of Table 1 is the above two situations. The first row of Table 1 is the bit value of the physical resource block (PRB) aggregate size indicator (PRB bundling size indicator) in DCI. Two situations. The second column and the third column in the second row of Table 1 can be understood as the first precoding granularity set, and the second column and the third column in the third row of Table 1 can be understood as the second precoding granularity set. Further, according to the different bit values of the PRB bundling size indicator, combined with the two situations in the first column, the precoding corresponding to the second precoding matrix can be determined in the first precoding granularity set and the second precoding granularity set respectively. granularity.

Optionally, when the bit value of the PRB bundling size indicator is the same value, the modulation coding scheme index is greater than or equal to the first threshold, and the corresponding precoding granularity in the first precoding granularity set is greater than the modulation coding scheme. The precoding granularity in the second precoding granularity set corresponding to the case where the index is smaller than the first threshold.

It should be understood that in high-order modulation scenarios, the receiving device may be more sensitive to nonlinear distortion, and thus may perform frequent linearization processing on the first data channel, consuming excessive resources.

It should also be understood that the larger the precoding granularity, the fewer times the receiving device needs to estimate precoding, and the lower the complexity of precoding estimation.

In the above solution, the precoding granularity corresponding to the first precoding matrix in a high-order modulation scenario is larger than the precoding granularity corresponding to the first precoding matrix in a low-order modulation scenario. Therefore, using larger precoding granularity in high-order modulation scenarios can reduce the number and complexity of precoding estimation, thereby reducing the complexity of linearization processing and reducing resource consumption.

Table 1

Alternatively, the first precoding granularity set and the second precoding granularity set may also have other values, which are not limited in this application.

Specifically, assuming that the bit value of the PRB bundling size indicator is 0, when the MCS index is less than the first threshold, as shown in the left picture of (a) in Figure 6, two consecutive RBs use the same precoding matrix, That is, the precoding granularity is 2RB; when the MCS index is greater than or equal to the first threshold, as shown in the right picture of (a) in Figure 6, 4 consecutive RBs use the same precoding matrix, that is, the precoding granularity is 4RB.

Specifically, assuming that the bit value of the PRB bundling size indicator is 0, when the MCS index is less than the first threshold, as shown in the left picture of (b) in Figure 6, four consecutive RBs use the same precoding matrix, That is, the precoding granularity is 2RB; when the MCS index is greater than or equal to the first threshold, as shown in the right picture of (b) in Figure 6, 8 consecutive RBs use the same precoding matrix, that is, the precoding granularity is 8RB.

Another example of the first precoding granularity set and the second precoding granularity set is given below with reference to FIG. 7 .

When the modulation and coding scheme index is greater than or equal to the second threshold, the precoding granularity corresponding to the first precoding matrix is the full bandwidth or wideband of the first data channel.

Specifically, assuming that when the MCS index is less than the second threshold, as shown in the left picture of (a) in Figure 7, two consecutive RBs use the same precoding matrix, that is, the precoding granularity is 2RB; the current MCS index If it is greater than or equal to the second threshold, as shown in the right diagram of (a) in Figure 7 , the same precoding matrix is used for the full bandwidth (taking 12 RBs as an example).

Specifically, assuming that when the MCS index is greater than or equal to the second threshold, as shown in the left diagram of (b) in Figure 7, 4 consecutive RBs use the same precoding matrix, that is, the precoding granularity is 4RB; currently When the MCS index is greater than or equal to the second threshold, as shown in the right diagram of (b) in Figure 7 , the same precoding matrix is used for the full bandwidth (taking 12 RBs as an example).

Implementation mode two: the receiving device and the sending device determine the precoding granularity through signaling interaction.

Example 2-1: The first information sent by the sending device to the receiving device also includes third information, and the third information indicates the precoding granularity corresponding to the first precoding matrix. The precoding granularity corresponding to the first precoding matrix is greater than the frequency domain resource size indicated by the physical resource block aggregation size indicator (PRB bundling size indicator). The receiving device determines the precoding granularity corresponding to the second precoding matrix based on the precoding granularity corresponding to the first precoding matrix. The precoding granularity corresponding to the second precoding matrix is also larger than the frequency domain resource size indicated by the physical resource block aggregation size indicator (PRB bundling size indicator).

Alternatively, the first information sent by the sending device to the receiving device further includes third information, and the third information indicates the precoding granularity corresponding to the second precoding matrix. The precoding granularity corresponding to the second precoding matrix is greater than the frequency domain resource size indicated by the physical resource block aggregation size indicator (PRB bundling size indicator).

In the above scheme, compared with the commonly used frequency domain resource size indicated by the physical resource block aggregation size indicator (PRB bundling size indicator), the precoding granularity corresponding to the second precoding matrix is larger, which can reduce the number of precoding performed by the receiving device. The number of estimates reduces processing complexity.

Example 2-2: The receiving device sends capability information to the sending device, and accordingly, the sending device receives the capability information from the receiving device. The sending device determines the coding granularity corresponding to the first precoding matrix according to the capability information. The receiving device determines the precoding granularity corresponding to the second precoding matrix according to the capability information.

The capability information indicates the precoding granularity or the number of subbands corresponding to the second precoding matrix supported by the receiving device. Among them, one subband corresponds to a frequency domain resource with a coding granularity.

Optionally, the capability information indicates the minimum coding granularity of precoding supported by the receiving device; or the capability information indicates the maximum number of subbands corresponding to the precoding supported by the receiving device.

In the above solution, the receiving device reports the largest possible precoding granularity to the sending device according to its own capabilities, thereby increasing the precoding granularity, minimizing the number of times the receiving device performs precoding estimation, and reducing processing complexity.

Example 2-3, Example 2-1 combined with Example 2-2. Execute Example 2-2 first, then Example 2-1. The third information in Example 2-1 is determined based on the capability information in Example 2-2.

The beneficial effects of the above solution can be seen in the beneficial effects of Example 2-1 and Example 2-2.

The data communication method 400 provided by this application will be introduced below with reference to Figure 8 . Method 400 provides an implementation method for the access device to determine nonlinear model parameters. The nonlinear model parameters in method 400 can be understood as the nonlinear model parameters in an example of S203.

S401. The sending device sends first sending power information to the receiving device. Correspondingly, the receiving device receives the first sending power information from the sending device.

Wherein, the first transmission power information indicates the average transmission power of the sending device within the first time unit.

As an example, the average transmit power may be the average transmit power of a certain antenna of the transmitting device within the first time unit, or the total transmit power of some or all antennas of the transmitting device within the first time unit.

As another example, the first transmit power information may indicate a value of the average transmit power, or indicate an index of the value of the average transmit power, or indicate a level or power bracket to which the average transmit power belongs. For example, assume that the power levels available to the transmitting device are four power levels from A to D, where the power range of power level B is [b1, b2], 0<b1<b2. The average sending power of the sending device in the first time unit belongs to [b1, b2], and the average sending power of the sending device in the first time unit belongs to power level B. Optionally, among the power levels to which the average transmit power belongs, the division of each power level may be uniform or non-uniform. For example, the power range of power level D is [d1, d2], 0<d1<d2. Among them, d2-d1 may be equal to b2-b1, or d2-d1 may not be equal to b2-b1.

Regarding when to execute S401, several implementation methods are introduced below in conjunction with Figure 9. In Figure 9 (a), Figure 9 (b) and Figure 9 (c), taking 4 time units arranged in chronological order from left to right as an example, the sending device The average transmit powers within are P1, P2, P3 and P4 respectively. When to execute S402 can be determined based on the period of change of the average transmission power of the transmitting device (taking one time unit as an example in Figure 9). For example, each time unit sends the average transmit power corresponding to the time unit. As shown in (a) in Figure 9, the first transmission power information sent by the sending device to the receiving device in the first time unit is used to indicate P1, and the first transmission power information sent by the sending device to the receiving device in the second time unit Power information is used to indicate P2. For another example, the sending device sends the first transmit power information to the receiving device every multiple time units. As shown in (b) in Figure 9, the sending device sends the first transmit power information to the receiving device every two time units. For example, the first transmit power information indication (P1+) sent by the sending device in the first time unit P2)/2, the first transmission power information indication sent by the sending device in the third time unit (P3+P4)/2. For another example, the sending device sends the average sending power of each time unit in multiple time units at one time. As shown in (c) of Figure 9, the first transmission power information sent by the sending device in the first time unit indicates P1 and P2, and the first transmission power information sent by the sending device in the third time unit indicates P3 and P4. . Alternatively, there may be other methods, which are not limited in this application.

In the above solution, in (b) and (c) of FIG. 9 , after the average transmission power of the transmitting device changes, the transmitting device does not immediately send the changed average transmission power to the receiving device. The period in which the average transmission power of the transmitting device changes is smaller than the transmission period of the first transmission power information. It can reduce the frequency of determining nonlinear model parameters by the receiving device and reduce processing complexity.

S402: The receiving device determines the first nonlinear model parameters of the sending device according to the first transmission power information.

As another example, before the first time unit, the receiving device receives second transmit power information from the transmitting device, and the second transmit power information indicates an average transmit power of the transmitting device within the second time unit. When the first transmit power information is different from the second transmit power information, the receiving device determines the first nonlinear model parameters according to the first transmit power information. When the first transmit power information is the same as the second transmit power information, the receiving device uses the second nonlinear model parameters of the transmitting device determined based on the second transmit power information as the first nonlinear model parameters.

Optionally, the first time unit is adjacent to the second time unit.

As an example, the receiving device stores a corresponding relationship between the average transmit power indicated by the first transmit power information and the first nonlinear model parameters, and the receiving device determines the first nonlinear model parameters according to the corresponding relationship. Optionally, the receiving device stores multiple correspondences between average transmit powers and multiple nonlinear model parameters.

For example, the corresponding relationship between the average transmit power indicated by the first transmit power information and the first nonlinear model parameters, or the corresponding relationship between multiple average transmit powers and multiple nonlinear model parameters, may be determined by the receiving device at the first time. Get the time unit before the unit of.

The above solution stores the corresponding relationship between the average transmission power of each reception and the nonlinear model parameters determined based on the average transmission power. If the stored average transmit power includes the same average transmit power as the received average transmit power, or the stored average transmit power includes the average transmit power in the same power range as the received average transmit power, the receiving device can directly respond according to the corresponding The relationship determines the nonlinear model parameters corresponding to the received average transmit power. This reduces the complexity of determining the parameters of the first nonlinear model and reduces the cost.

S403: The sending device sends the first data channel in the first time unit, and accordingly, the receiving device receives the first data channel in the first time unit according to the first nonlinear model parameters.

In the above scheme, the receiving device determines the first nonlinear model parameters used by the transmitting device when transmitting the first data channel according to the first transmit power information, so that the subsequent receiving device can linearize the first data channel, thereby enhancing the performance of super QAM. Compared with the sending device directly sending the first precoding matrix to the receiving device, the demodulation performance can save a large amount of transmission overhead.

Several examples are given below for the information sending methods involved in methods 200 to 400 of this application.

The sending device can use RRC, physical downlink control channel (PDCCH), medium access control control element (MAC CE), group common DCI or UE-SPECIFIC DCI to send the information covered by this application.

Among them, group common DCI or UE-SPECIFIC DCI or MAC CE can be used to send frequently changing information. If group common DCI is used to send, you can use Format 2-x format and add the information to be sent after the information corresponding to Format 2-x format. If UE-SPECIFIC DCI is used, a dedicated wireless network temporary identifier and DCI format can be defined for this application, or the Format 2-x format can be used directly.

The above solution carries the frequently changing information in this application through the above signaling, can update the information involved in this application, and improve the accuracy of estimating the precoding matrix or determining the nonlinear model parameters.

RRC messages can be used to send information that changes infrequently.

The above solution uses the above signaling to carry information that does not change frequently in this application, and can save signaling overhead without affecting the accuracy of estimating the precoding matrix or determining the nonlinear model parameters.

For example, the signaling exchanged between the transmitting device and the receiving device to determine the precoding granularity corresponding to the second precoding matrix may be carried in the RRC as information that changes infrequently, or may be carried in the RRC as information that changes frequently. in PDCCH. For example, the port set indication information in method 300 may be carried in the RRC as information that changes infrequently.

It should be noted that in specific implementation, the sending device may determine which message to use to carry the information involved in this application based on its own capabilities or other factors, which is not limited by this application.

The effect of linearization processing of the received nonlinear signal by the receiving device will be introduced below with reference to Figure 10. Wherein, the receiving device performs nonlinear distortion compensation on the received nonlinear signal according to the second precoding matrix and the nonlinear model parameters. Taking 1024QAM as an example, (a) in Figure 10 and (b) in Figure 10 respectively show the constellation diagrams before and after nonlinear distortion compensation for nonlinear signals. Among them, the abscissa of the constellation diagram is the in-phase (I) path, and the ordinate is the quadrature (Q) path.

As shown in (a) in Figure 10, before nonlinear distortion compensation is performed on nonlinear signals, constellation points with nonlinear errors are distributed irregularly throughout the constellation diagram. As shown in (b) in Figure 10, after nonlinear distortion compensation is performed on the nonlinear signal, 1024 constellation points are regularly arranged in the constellation diagram. Therefore, after performing nonlinear distortion compensation, the receiving device can more accurately demodulate the dense constellation diagram, and the error of the constellation points on the obtained constellation diagram is significantly reduced.

It can be understood that, in order to implement the functions in the above embodiments, the sending device and the receiving device include corresponding hardware structures and/or software modules that perform each function. Those skilled in the art should easily realize that the units and method steps of each example described in conjunction with the embodiments disclosed in this application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed by hardware or computer software driving the hardware depends on the specific application scenarios and design constraints of the technical solution.

Figures 11 and 12 are schematic structural diagrams of possible communication devices provided by embodiments of the present application. These communication devices can be used to implement the functions of the sending device or the receiving device in the above method embodiments, and therefore can also achieve the beneficial effects of the above method embodiments. In the embodiment of the present application, the communication device may be a sending device or a receiving device, or may be a module (such as a chip) applied to the sending device or the receiving device.

As shown in FIG. 11 , the communication device 1100 includes a processing unit 1110 and a transceiver unit 1120 . The communication device 1100 is used to implement the functions of the sending device or the receiving device in the method embodiments shown in FIGS. 3 to 10 .

When the communication device 1100 is used to implement the functions of the receiving device in the method embodiment shown in Figure 3: the transceiving unit 1120 is used to receive the first information from the sending device; the processing unit 1110 is used to send the The device estimates the first precoding matrix used when transmitting the first data channel in the first time unit to obtain a second precoding matrix; the transceiver unit 1120 is also configured to receive the first data according to the second precoding matrix. channel.

When the communication device 1100 is used to implement the function of the sending device in the method embodiment shown in Figure 3: the transceiver unit 1120 is used to send the first information to the receiving device; the transceiver unit 1120 is also used to use it within the first time unit The first precoding matrix sends a first data channel to the receiving device, and the first information is used to estimate the first precoding matrix.

When the communication device 1100 is used to implement the function of the receiving device in the method embodiment shown in Figure 4: the transceiving unit 1120 is used to receive a first reference signal from the sending device, where the first reference signal is CSI-RS or SRS; the transceiver unit 1120 is also configured to receive a second reference signal from the sending device, the second reference signal being the DMRS of the first data channel; the processing unit 1110 is specifically configured to receive the second reference signal according to the first information, the first The reference signal and the second reference signal are used to estimate the first precoding matrix used by the sending device when sending the first data channel.

When the communication device 1100 is used to implement the function of the sending device in the method embodiment shown in Figure 4: the transceiving unit 1120 is used to send the first reference information to the receiving device, and the first reference signal is CSI-RS or SRS; The transceiver unit 1120 is also configured to send a second reference signal to the receiving device, where the second reference signal is the DMRS of the first data channel.

When the communication device 1100 is used to implement the function of the receiving device in the method embodiment shown in FIG. 8: the transceiving unit 1120 is used to receive the first transmit power information from the transmitting device, the first transmit power information indicates that the transmitting device is in The average transmit power in the first time unit; the processing unit 1110 is configured to determine the first nonlinear model parameters of the transmitting device according to the first transmit power information; the transceiver unit 1120 is also configured to determine the first nonlinear model parameters according to the first nonlinear model parameters The first data channel is received within the first time unit.

When the communication device 1100 is used to implement the function of the sending device in the method embodiment shown in FIG. 8: the transceiving unit 1120 is used to send the first sending power information to the receiving device, the first sending power information indicates that the sending device is in the first The average transmit power within the time unit; the transceiver unit 1120 is also used to transmit the first data channel within the first time unit.

For a more detailed description of the processing unit 1110 and the transceiver unit 1120, please refer to the relevant descriptions in the method embodiments shown in FIGS. 3 to 10 .

As shown in FIG. 12 , the communication device 1200 includes a processor 1210 and an interface circuit 1220 . The processor 1210 and the interface circuit 1220 are coupled to each other. It can be understood that the interface circuit 1220 may be a transceiver or an input-output interface. Optionally, the communication device 1200 may also include a memory 1230 for storing instructions executed by the processor 1210 or input data required for the processor 1210 to run the instructions or data generated after the processor 1210 executes the instructions.

When the communication device 1200 is used to implement the method shown in Figure 12, the processor 1210 is used to implement the functions of the above-mentioned processing unit 1110, and the interface circuit 1220 is used to implement the functions of the above-mentioned transceiver unit 1120.

When the above communication device is a chip applied to a receiving device, the receiving device chip implements the functions of the receiving device in the above method embodiment. The receiving device chip receives information from other modules in the receiving device (such as radio frequency module or antenna), the information is sent by the transmitting device or to the receiving device; or, the receiving device chip sends information to other modules in the receiving device (such as radio frequency module or antenna). module or antenna) to send information from the receiving device to the sending device.

When the above communication device is a chip applied to a sending device, the terminal chip implements the functions of the sending device in the above method embodiment. The chip of the sending device receives information from other modules (such as radio frequency modules or antennas) in the sending device, and the information is sent by the receiving device to the sending device; or, the chip of the sending device sends information to other modules (such as radio frequency modules) in the base station. or antenna) to send information, which is sent by the sending device to the receiving device.

It can be understood that the processor in the embodiments of the present application may be a central processing unit (CPU), or other general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), or an application-specific integrated circuit. (Application Specific Integrated Circuit, ASIC), Field Programmable Gate Array (FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. A general-purpose processor can be a microprocessor or any conventional processor.

The method steps in the embodiments of the present application can be implemented in hardware or in software instructions that can be executed by a processor. Software instructions can be composed of corresponding software modules, and the software modules can be stored in random access memory, flash memory, read-only memory, programmable read-only memory, erasable programmable read-only memory, electrically erasable programmable read-only memory In memory, register, hard disk, mobile hard disk, CD-ROM or any other form of storage medium well known in the art. An exemplary storage medium is coupled to the processor such that the processor can read information from the storage medium and write information to the storage medium. The storage medium may also be an integral part of the processor. The processor and storage media may be located in an ASIC. Additionally, the ASIC can be located in the base station or terminal. The processor and storage medium may also exist as discrete components in the base station or terminal.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer programs or instructions. When the computer program or instructions are loaded and executed on the computer, the processes or functions described in the embodiments of the present application are executed in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, a network device, a user equipment, or other programmable device. The computer program or instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer program or instructions may be transmitted from a website, computer, A server or data center transmits via wired or wireless means to another website site, computer, server, or data center. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center that integrates one or more available media. The available media may be magnetic media, such as floppy disks, hard disks, and tapes; optical media, such as digital video optical disks; or semiconductor media, such as solid-state hard drives. The computer-readable storage medium may be volatile or nonvolatile storage media, or may include both volatile and nonvolatile types of storage media.

In the various embodiments of this application, if there is no special explanation or logical conflict, the terms and/or descriptions between different embodiments are consistent and can be referenced to each other. The technical features in different embodiments are based on their inherent Logical relationships can be combined to form new embodiments.

In this application, "at least one" refers to one or more, and "plurality" refers to two or more. "And/or" describes the relationship between associated objects, indicating that there can be three relationships, for example, A and/or B, which can mean: A exists alone, A and B exist simultaneously, and B exists alone, where A, B can be singular or plural. In the text description of this application, the character "/" generally indicates that the related objects before and after are an "or" relationship; in the formula of this application, the character "/" indicates that the related objects before and after are a kind of "division" Relationship. "Including at least one of A, B and C" may mean: including A; including B; including C; including A and B; including A and C; including B and C; including A, B and C.

It can be understood that the various numerical numbers involved in the embodiments of the present application are only for convenience of description and are not used to limit the scope of the embodiments of the present application. The size of the serial numbers of the above processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic.

Claims

A data communication method, executed by a receiving device, characterized in that it includes:

receiving the first information from the sending device;

Estimate the first precoding matrix used by the sending device when transmitting the first data channel in the first time unit according to the first information to obtain the second precoding matrix;

The first data channel is received according to the second precoding matrix.
The method of claim 1, wherein receiving the first data channel according to the second precoding matrix includes:

Determine nonlinear model parameters when the sending device sends the first data channel according to the second precoding matrix;

The first data channel is received based on the nonlinear model parameters.
The method according to claim 1 or 2, characterized in that, the method further includes:

Receive a first reference signal from the sending device, where the first reference signal is a channel state information reference signal or a sounding reference signal;

Receive a second reference signal from the sending device, where the second reference signal is a demodulation reference signal of the first data channel;

The estimating the first precoding matrix used by the sending device when sending the first data channel based on the first information specifically includes:

According to the first information, the first reference signal and the second reference signal, a first precoding matrix used by the sending device when sending the first data channel is estimated.
The method of claim 3, wherein the first information includes second information indicating the correspondence between the transmission port of the first reference signal and the transmission port of the second reference signal. relation;

The estimating the first precoding matrix used by the sending device when sending the first data channel based on the first information, the first reference signal and the second reference signal includes:

According to the first reference signal, the second reference signal, and the corresponding relationship, the first precoding matrix used by the sending device when sending the first data channel is estimated.
The method according to claim 3 or 4, characterized in that,

The second information indicates that the transmission port of the first reference signal and the transmission port of the second reference signal are the same; or,

The second information indicates the port number of the first reference signal and the port number of the second reference signal.
The method according to any one of claims 1 to 5, characterized in that the first information further includes a modulation coding scheme index.
The method according to claim 6, characterized in that:

When the modulation and coding scheme index is greater than or equal to the first threshold, the precoding granularity corresponding to the first precoding matrix is a precoding granularity in the first precoding granularity set, and the first precoding matrix corresponds to The precoding granularity is an integer number of resource blocks, and the precoding matrices used on the frequency domain resources of a precoding granularity are the same; or,

When the modulation and coding scheme index is less than the first threshold, the precoding granularity corresponding to the first precoding matrix is a precoding granularity in a second precoding granularity set, and the second precoding granularity set It is not completely identical or completely different from the first precoding granularity set.
The method according to claim 7, characterized in that:

When the modulation and coding scheme index is greater than or equal to the second threshold, the precoding granularity corresponding to the first precoding matrix is the full bandwidth of the first data channel.
The method according to any one of claims 1 to 5, characterized in that the first information further includes third information, the third information indicates the precoding granularity corresponding to the first precoding matrix, so The precoding granularity corresponding to the first precoding matrix is greater than the frequency domain resource size indicated by the physical resource block aggregation size indication.
The method according to any one of claims 1 to 5, characterized in that the method further includes:

Send capability information to the sending device, where the capability information indicates the precoding granularity or the number of subbands corresponding to the precoding matrix supported by the receiving device.
The method according to any one of claims 1 to 10, characterized in that the first information further includes fourth information, the fourth information indicates that the first precoding matrix and the sending device are in the first Whether the third precoding matrix used when transmitting the second data channel in two time units is the same, the second time unit is before the first time unit, and the method further includes:

When the first precoding matrix is the same as the third precoding matrix, it is determined that the fourth precoding matrix obtained by estimating the third precoding matrix is the second precoding matrix.
A data communication method, executed by a sending device, characterized in that it includes:

Send the first information to the receiving device;

A first data channel is sent to the receiving device using a first precoding matrix within a first time unit, and the first information is used to estimate the first precoding matrix.
The method according to claim 12, characterized in that:

Send first reference information to the receiving device, where the first reference signal is a channel state information reference signal or a sounding reference signal;

Send a second reference signal to the receiving device, where the second reference signal is a demodulation reference signal of the first data channel.
The method according to claim 12 or 13, characterized in that the first information includes second information indicating the transmission port of the first reference signal and the transmission port of the second reference signal. corresponding relationship.
The method according to claim 14, characterized in that:

The second information indicates that the transmission port of the first reference signal and the transmission port of the second reference signal are the same; or,

The second information indicates the port number of the first reference signal and the port number of the second reference signal.
The method according to any one of claims 12 to 15, characterized in that the first information further includes a modulation coding scheme index.
The method according to claim 16, characterized in that:

When the modulation and coding scheme index is greater than or equal to the first threshold, the precoding granularity corresponding to the first precoding matrix is a precoding granularity in the first precoding granularity set, and the first precoding matrix array The corresponding precoding granularity is an integer number of resource blocks RB, and the precoding matrices used on the frequency domain resources of a precoding granularity are the same; or,

When the modulation and coding scheme index is less than the first threshold, the precoding granularity corresponding to the first precoding matrix is a precoding granularity in a second precoding granularity set, and the second precoding granularity set It is not completely identical or completely different from the first precoding granularity set.
The method according to claim 16 or 17, characterized in that,

When the modulation and coding scheme index is greater than or equal to the second threshold, the precoding granularity corresponding to the first precoding matrix is the full bandwidth of the first data channel.
The method according to any one of claims 12 to 16, characterized in that the first information further includes third information, the third information indicates the precoding granularity corresponding to the first precoding matrix, so The precoding granularity corresponding to the first precoding matrix is greater than the frequency domain resource size indicated by the physical resource block aggregation size indication.
The method of claim 19, further comprising:

Receive capability information from the receiving device, where the capability information indicates the precoding granularity or the number of subbands corresponding to the precoding matrix supported by the receiving device.
The method according to any one of claims 12 to 10, characterized in that the first information further includes fourth information, the fourth information indicates that the first precoding matrix and the sending device are in the first Whether the third precoding matrix used when transmitting the second data channel in two time units is the same, and the second time unit is before the first time unit.
A communication device, characterized by comprising a processor and an interface circuit, the interface circuit being used to receive signals from other communication devices and transmit them to the processor or to send signals from the processor to other communication devices. , the processor is used to implement the method according to any one of claims 1 to 11 through logical circuits or execution code instructions, or is used to implement the method according to any one of claims 12 to 21.
A computer-readable storage medium, characterized in that a computer program or instructions are stored in the storage medium. When the computer program or instructions are executed by a communication device, the implementation as described in any one of claims 1 to 11 is achieved. method, or implement the method as described in any one of claims 12 to 21.