WO2021228179A1

WO2021228179A1 - Communication method and apparatus

Info

Publication number: WO2021228179A1
Application number: PCT/CN2021/093514
Authority: WO
Inventors: 王敬伦; 霍强; 杨智; 邹志强; 李化加
Original assignee: 华为技术有限公司
Priority date: 2020-05-13
Filing date: 2021-05-13
Publication date: 2021-11-18
Also published as: CN113676196A; CN113676196B

Abstract

A communication method and apparatus. The method comprises: obtaining interference channel information from a plurality of transmitting antennas to a passive inter-modulation (PIM) source, processing a downlink signal according to the interference channel information, and sending the processed downlink signal. By adopting the technical solution, a network device can avoid excitation of the PIM source by means of a downlink spatial degree of freedom, and effectively suppress a PIM signal at a downlink transmitting end, thereby avoiding the generation of a PIM interference signal, thus the performance of a communication system is effectively improved, and the utilization rate of a wireless resource is improved.

Description

Communication method and device

Cross-references to related applications

This application claims the priority of a Chinese patent application filed with the State Intellectual Property Office of China, the application number is 202010401734.6, and the application name is "a communication method and device" on May 13, 2020, the entire content of which is incorporated into this application by reference middle.

Technical field

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

Background technique

Due to the influence of non-ideal factors such as the analog components of the communication system itself (such as cables, duplexers, cables) or the external transmission environment (such as metal components near the antenna), the downstream transmitted signal will generate additional passive intermodulation (passive intermodulation). inter-modulation (PIM) signal and reflected back to the receiving end of the system. If the PIM signal falls within the receiving frequency band of the upstream receiver, the receiver will receive the PIM signal. The PIM signal will cause interference to the uplink received signal, which makes the quality of the uplink received signal worse, which in turn leads to a reduction in the capacity of the system or a reduction in the range of the available frequency band of the system.

The existing PIM cancellation technology can pre-estimate the PIM signal by modeling the signal in the transmit channel when transmitting the downlink signal, and then perform cancellation processing on the PIM signal in the receive channel. However, this method usually completes the construction and cancellation of PIM signals independently in each receiving antenna. Each receiving antenna requires a PIM cancellation entity, and the complexity of each PIM cancellation entity is related to the number of transmit antennas in the communication system. related.

It can be seen that when applied to a multiple-input multiple output (MIMO) system, the complexity of this method will increase sharply as the number of transmitting antennas and receiving antennas increases.

Summary of the invention

The embodiments of the present application provide a communication method and device for avoiding excitation of passive intermodulation sources through the degree of freedom of the downlink space, avoiding the generation of passive intermodulation signals, thereby improving the reception quality of uplink signals.

In the first aspect, the embodiments of the present application provide a communication method, which can be executed by a network device, such as a base station or a baseband unit BBU in a base station, or a component (such as a chip or circuit) configured in the network device. Including: the network device obtains the interference channel information from multiple transmitting antennas to the PIM source, processes the downlink signal according to the interference channel information, and sends the processed downlink signal.

With the above technical solution, the network equipment can avoid the excitation of passive intermodulation sources through the degree of freedom in the downlink space, and effectively suppress the passive intermodulation signals at the downlink transmitter, thereby avoiding the generation of passive intermodulation interference signals and effectively improving The performance of the communication system improves the utilization of wireless resources.

In a possible design of the first aspect, acquiring the interference channel information from multiple transmit antennas to the PIM source may include: generating a first scanning beam set, the first scanning beam set includes multiple scanning beams, each The dimension of the scanning beam is the number of transmitting antennas; each scanning beam in the first scanning beam set is traversed to obtain the uplink PIM signal corresponding to each scanning beam; the corresponding uplink PIM signal in the first scanning beam set satisfies the set conditions One or more scanning beams to determine the interference channel information.

In a possible design of the first aspect, one or more scanning beams corresponding to the uplink PIM signal in the first scanning beam set satisfying the set condition are the received power of the corresponding uplink PIM signal in the first scanning beam set The largest scanning beam; correspondingly, determining the interference channel information may include: determining the interference channel information according to the scanning beam with the largest received power of the corresponding uplink PIM signal in the first scanning beam set.

In a possible design of the first aspect, the channel matrix corresponding to the interference channel information is the conjugate of the scanning beam with the largest received power of the corresponding uplink PIM signal in the first scanning beam set.

In a possible design of the first aspect, one or more scanning beams corresponding to the uplink PIM signal in the first scanning beam set satisfying the set condition are the received power of the corresponding uplink PIM signal in the first scanning beam set For the first S largest scanning beams, the S is a positive integer; correspondingly, determining the interference channel information may include: determining the first S scanning beams with the largest received power of the corresponding uplink PIM signal in the first scanning beam set Interference channel information.

In a possible design of the first aspect, the channel matrix corresponding to the interference channel information is the conjugate of the first S scanning beams with the largest received power of the corresponding uplink PIM signal in the first scanning beam set, or The conjugate of one or more eigenvectors of the correlation matrices of the first S scanning beams with the largest received power of the corresponding uplink PIM signal in the scanning beam set.

In a possible design of the first aspect, generating the first scanning beam set may include: generating a second scanning beam set, traversing each scanning beam in the second input scanning beam set, and obtaining the corresponding scanning beam Uplink PIM signal; use the second scanning beam set as the input scanning beam set of the first iteration, and perform the following iterative process: In the i-th iteration, select the one with the highest received power of the uplink PIM signal corresponding to the input scanning beam set The scanning beam is used as the first scanning beam; based on the first scanning beam, the input scanning beam set is orthogonalized to obtain the output scanning beam set in the i-th iteration, and the output scanning beam set includes the input scanning beam set The scanning beam after each scanning beam except the first scanning beam is orthogonal to the first scanning beam; traverse the scanning beams in the output scanning beam set to obtain the uplink PIM signal corresponding to each scanning beam; if the scanning beam is output If the received power of the uplink PIM signal corresponding to each scanning beam in the set meets the convergence condition, or the number of iterations reaches the first set threshold, the iteration ends, and the first scanning beams selected during each iteration process are combined into the first scanning Beam set; otherwise, enter the next iteration, and use the output scanning beam set as the input scanning beam set in the next iteration.

With the above technical solution, due to the orthogonalization processing of the scanning beam set, the scanning beams selected after the iterative processing can be orthogonal to each other. In this way, all the spaces of the PIM signal can be obtained. Component, which can avoid the space where PIM interference is located when sending downlink signals, thereby avoiding the generation of PIM interference signals.

In a possible design of the first aspect, generating the first scanning beam set may include: generating a second scanning beam set including P scanning beams; and using the second scanning beam set as the first scanning beam set. For the input scanning beam set of 1 iteration, the following iterative process is performed: in the i-th iteration, for each scanning beam in the input scanning beam set, the scanning beam is compared with each of the preset offset vector sets The offset vectors are added separately to obtain the output scanning beam set in the i-th iteration; each scanning beam in the output scanning beam set is traversed to obtain the uplink PIM signal corresponding to each scanning beam; if the scanning beam in the output scanning beam set The first Q received power of the corresponding uplink PIM signal with the largest received power tends to converge, or the current iteration number reaches the second set threshold, the iteration ends, and the corresponding uplink PIM signal in the set of scanning beams will be output with the largest received power The first P scanning beams form the first scanning beam set; otherwise, it enters the next iteration, and the first P scanning beams with the highest received power of the corresponding uplink PIM signal in the output scanning beam set are used as the input in the next iteration Scanning beam collection.

Using the above technical solution, through incremental reconstruction and iterative processing of the scanning beam set, the direction of the scanning beam in the scanning beam set can be kept close to the spatial direction of the PIM signal, thereby effectively improving the accuracy of the interference channel information and avoiding sending downlink The PIM interference signal is generated during the signal process, causing interference to the uplink signal.

In a possible design of the first aspect, generating the first scanning beam set may include: obtaining downlink channel coefficients from multiple transmitting antennas to the PIM source according to a channel free space loss model or an antenna electromagnetic field model, and according to the downlink channel Coefficients to generate the first scanning beam set.

In a possible design of the first aspect, acquiring the interference channel information from multiple transmitting antennas to the PIM source includes: constructing a signal model from multiple transmitting antennas to the PIM source and from the PIM source to multiple receiving antennas; The multiple transmitting antennas transmit multiple sets of known signals, and the multiple receiving antennas receive uplink PIM signals corresponding to each of the multiple sets of known signals; according to the multiple sets of known signals and For the uplink PIM signal corresponding to each group of known signals, neural network training is performed on the signal model; and the channel information is determined according to the signal model obtained by the training.

In a possible design of the first aspect, processing the downlink signal according to the interference channel information may include: generating a precoding matrix according to the interference channel information, and using the precoding matrix to perform precoding processing on the downlink signal.

In a possible design of the first aspect, generating the precoding matrix according to the interference channel information may include: calculating the null space of the channel matrix corresponding to the interference channel information, constructing the null space matrix, and projecting the initial precoding matrix to all The null space matrix is used to generate a new precoding matrix; or, the PIM source is regarded as a virtual user in the MIMO system, and the precoding matrix is generated according to the interference channel information.

In a possible design of the first aspect, processing the downlink signal according to the interference channel information may include: precoding the downlink signal, calculating the null space of the channel matrix corresponding to the interference channel information, and constructing the null space matrix, Projecting the pre-coding processed downlink signal to the null space matrix to obtain the processed downlink signal.

With the above technical solution, there are multiple possible implementations for processing the downlink signal, which can effectively improve the applicability of the method. Specifically, the PIM interference null space matrix is constructed according to the interference channel information, and then a new precoding matrix is generated according to the null space matrix to precode the user's downlink signal, or the downlink signal after the precoding process is projected to The null space matrix can make the transmitted downlink signal avoid the space where the PIM interference is located, thereby avoiding the generation of the uplink PIM signal, and effectively improving the system performance.

In the second aspect, an embodiment of the present application provides a communication device, which may also have the function of a network device in the first aspect or any one of the possible designs of the first aspect. The device may be a network device or a chip included in the network device. The functions of the communication device can be realized by hardware, or by hardware executing corresponding software. The hardware or software includes one or more modules or units or means corresponding to the above-mentioned functions.

In a possible design, the structure of the device includes a processing module and a transceiver module, wherein the processing module is configured to support the device to perform the corresponding function of the network device in the first aspect or any one of the designs in the first aspect. . The transceiver module is used to support the communication between the device and other communication devices. For example, when the device is a network device, it can send processed downlink signals to the terminal device. The communication device may also include a storage module, which is coupled with the processing module, which stores program instructions and data necessary for the device. As an example, the processing module may be a processor, the transceiving module may be a transceiver, and the storage module may be a memory. The memory may be integrated with the processor or may be provided separately from the processor, which is not limited in this application.

In another possible design, the structure of the device includes a processor and may also include a memory. The processor is coupled with the memory, and can be used to execute computer program instructions stored in the memory, so that the device executes the foregoing first aspect or any one of the possible design methods of the first aspect. Optionally, the device further includes a communication interface, and the processor is coupled with the communication interface. When the device is a network device, the communication interface may be a transceiver or an input/output interface; when the device is a chip included in the network device, the communication interface may be an input/output interface of the chip. Optionally, the transceiver may be a transceiver circuit, and the input/output interface may be an input/output circuit.

In a third aspect, an embodiment of the present application provides a chip system, including: a processor, the processor is coupled with a memory, the memory is used to store a program or an instruction, when the program or an instruction is executed by the processor , So that the chip system implements the above-mentioned first aspect or any one of the possible design methods of the first aspect.

Optionally, the chip system further includes an interface circuit, and the interface circuit is used to exchange code instructions to the processor.

Optionally, there may be one or more processors in the chip system, and the processors may be implemented by hardware or software. When implemented by hardware, the processor may be a logic circuit, an integrated circuit, or the like. When implemented by software, the processor may be a general-purpose processor, which is implemented by reading software codes stored in the memory.

Optionally, there may be one or more memories in the chip system. The memory may be integrated with the processor, or may be provided separately from the processor, which is not limited in this application. Exemplarily, the memory may be a non-transitory processor, such as a read-only memory ROM, which may be integrated with the processor on the same chip, or may be set on different chips. The setting method of the processor is not specifically limited.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium on which a computer program or instruction is stored. When the computer program or instruction is executed, the computer executes the first aspect or any one of the first aspect. A possible design approach.

In a fifth aspect, the embodiments of the present application provide a computer program product. When the computer reads and executes the computer program product, the computer executes the first aspect or any one of the possible design methods of the first aspect.

In a sixth aspect, embodiments of the present application provide a communication system, which includes the network device and at least one terminal device described in the foregoing aspects.

Description of the drawings

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

Figure 2 is a schematic diagram of a network device to which an embodiment of this application is applicable;

FIG. 3 is a schematic flowchart of a communication method provided by an embodiment of this application;

4 is a schematic diagram of a possible implementation manner in which a network device obtains interference channel information from multiple transmit antennas to a PIM source in an embodiment of the application;

5a and 5b are schematic diagrams of generating a first scanning beam set in an orthogonal manner in an embodiment of the application;

FIG. 6 is a schematic diagram of a process of generating a first scanning beam set by way of incremental reconstruction in an embodiment of this application;

FIG. 7 is a schematic diagram of another possible implementation manner for a network device to obtain interference channel information from multiple transmit antennas to a PIM source in an embodiment of the application;

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

FIG. 9 is a schematic diagram of another structure of a communication device provided by an embodiment of this application.

Detailed ways

In order to make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

The technical solutions of the embodiments of the present application can be applied to various communication systems, such as long term evolution (LTE) systems, LTE frequency division duplex (FDD) systems, and LTE time division duplex (time division duplex, LTE) systems. TDD), universal mobile telecommunications system (UMTS), global system for mobile communication (GSM), fifth generation (5G) mobile communication system or new radio (NR) ) System, or applied to future communication systems or other communication systems that need to realize PIM elimination.

Please refer to FIG. 1, which is a schematic structural diagram of a communication system provided by an embodiment of this application. The communication system includes a network device and at least one terminal device (terminals 1 to 6 shown in FIG. 1). The network device can communicate with at least one terminal device (such as the terminal 1) through uplink (UL) and downlink (DL). The uplink refers to the physical layer communication link from the terminal device to the network device, and the downlink refers to the physical layer communication link from the network device to the terminal device.

Optionally, the network device has multiple transmitting antennas and multiple receiving antennas, and may use MIMO technology to communicate with at least one terminal device.

It should be understood that there may also be multiple network devices in the communication system, and one network device may provide services for multiple terminal devices. The embodiment of the present application does not limit the number of network devices and the number of terminal devices included in the communication system. . The network device in FIG. 1 and each of some or all of the terminal devices in at least one terminal device can implement the technical solutions provided in the embodiments of the present application. In addition, the various terminal devices shown in FIG. 1 are only partial examples of terminal devices, and it should be understood that the terminal devices in the embodiments of the present application are not limited thereto.

The solution provided in this application is generally applied to network equipment in a wireless communication system, and can also be applied to other equipment or devices that need to eliminate PIM.

The network equipment mentioned in the embodiments of the present application, also called access network equipment, is a device used to connect terminal equipment to a wireless network in the network. The network device may be a node in a radio access network, may also be called a base station, or may also be called a RAN node (or device). The network equipment may be an evolved NodeB (eNodeB) in an LTE system or an evolved LTE system (LTE-Advanced, LTE-A), or may also be a next generation node in a 5G NR system. B, gNodeB), or Node B (Node B, NB), base station controller (BSC), base transceiver station (BTS), transmission reception point (TRP) , Home base station (for example, home evolved NodeB, or home Node B, HNB), baseband unit (BBU), WiFi access point (access point, AP), relay node, access backhaul integration ( The integrated access and backhaul (IAB) node or the base station in the future mobile communication system, etc., may also be a centralized unit (CU) and a distributed unit (DU), which is not limited in the embodiment of the application . In a separate deployment scenario where the access network equipment includes CU and DU, CU supports radio resource control (radio resource control, RRC), packet data convergence protocol (packet data convergence protocol, PDCP), and service data adaptation protocol (service data adaptation). Protocol, SDAP) and other protocols; DU mainly supports radio link control (RLC) layer protocol, medium access control (MAC) layer protocol and physical layer protocol.

Exemplarily, as shown in FIG. 2, the network device may include a BBU, a remote radio unit (RRU) and an antenna (antenna) connected to the BBU, where the BBU is mainly responsible for baseband algorithm related In calculation, the BBU interacts with the RRU through the common public radio interface (CPRI), and the RRU is connected to the antenna through the feeder. It should be understood that Figure 2 is described by taking one BBU connected to one RRU as an example. It should be understood that in practical applications, one BBU can be connected to one or more RRUs, and the network device can include more BBUs and connected to it. RRU, this application is not limited.

The terminal device mentioned in the embodiment of this application is a device with wireless transceiver function, which can be deployed on land, including indoor or outdoor, handheld, wearable, or vehicle-mounted; it can also be deployed on water (such as ships, etc.) It can also be deployed in the air (such as airplanes, balloons, and satellites). The terminal device can communicate with the core network via a radio access network (RAN), and exchange voice and/or data with the RAN. The Terminal devices can be mobile phones, tablets, computers with wireless transceiver functions, mobile Internet devices, wearable devices, virtual reality terminal devices, augmented reality terminal devices, wireless terminals in industrial control, wireless terminals in unmanned driving, and remote Wireless terminals in medical care, wireless terminals in smart grids, wireless terminals in transportation safety, wireless terminals in smart cities, wireless terminals in smart homes, etc. The embodiments of this application do not limit the application scenarios. Terminal equipment Sometimes it may also be referred to as user equipment (UE), mobile station, remote station, etc. The embodiments of the present application do not limit the specific technology, device form, and name adopted by the terminal device.

The carrier (also referred to as carrier frequency) in the embodiments of the present application refers to a radio wave with a specific frequency and a certain bandwidth (for example, 10M), which is used to carry the wireless signal to be transmitted. Frequency band refers to a part of spectrum resources used in wireless communication, such as the 1800M frequency band used in the LTE system. Normally, a frequency band contains multiple carriers. For example, the bandwidth of the 1800M frequency band is 75M, then the frequency band may contain m (m≥1) carriers with a bandwidth of 20M and n (n≥1) carriers with a bandwidth of 10M. Of course, there are other possible carrier division methods, which are not limited in this application. In this application, one receiving channel or transmitting channel can process a signal containing at least one carrier.

It should be noted that in the following description of the embodiments of the present application, uppercase bold bold letters are used to represent matrices, lowercase bold bold letters are used to represent vectors, and (·) ^H , (·) ^T , (·) are used ^* Represents the transformation of conjugate transpose, transpose, and conjugate of a matrix/vector.

It should be noted that the terms "system" and "network" in the embodiments of the present application can be used interchangeably. "Multiple" refers to two or more than two. In view of this, "multiple" can also be understood as "at least two" in the embodiments of the present application. "At least one" can be understood as one or more, for example, one, two or more. For example, including at least one means including one, two or more, and it does not limit which ones are included. For example, if at least one of A, B, and C is included, then A, B, C, A and B, A and C, B and C, or A and B and C are included. In the same way, the understanding of "at least one" and other descriptions is similar. "And/or" describes the association relationship of the associated object, indicating that there can be three types of relationships, for example, A and/or B, which can mean: A alone exists, A and B exist at the same time, and B exists alone. In addition, the character "/", unless otherwise specified, generally indicates that the associated objects before and after are in an "or" relationship.

Unless otherwise stated, the ordinal numbers such as "first" and "second" mentioned in the embodiments of this application are used to distinguish multiple objects, and are not used to limit the order, timing, priority, or importance of multiple objects. And the descriptions of "first" and "second" do not limit the objects to be different.

Please refer to FIG. 3, which is a schematic flow diagram of a communication method provided by this application. The method specifically includes:

Step S301: The network device obtains interference channel information from multiple transmitting antennas to the PIM source.

In the embodiments of the present application, the non-ideal factors used to generate passive intermodulation signals are referred to as PIM sources. Since passive intermodulation interference is usually caused by the nonlinear characteristics of various passive components (such as duplexers, antennas, feeders, RF line connectors, etc.) in the transmission channel, the PIM source can also be called Non-linear source.

The interference channel information is used to reflect the situation of the channel between the transmitting antenna of the network device and the PIM source, or it can also be understood as the interference channel information used to reflect the fading situation of the signal sent from the transmitting antenna of the network device to the PIM source . Optionally, the interference channel information may be represented by the channel matrix of the PIM interference channel.

In step S301, the network device may have multiple possible implementations for acquiring the interference channel information. Considering the impact of space, these possible implementations will be described in detail below.

Step S302: The network device processes the downlink signal according to the interference channel information.

In a possible design, the network device may generate a precoding matrix according to the obtained interference channel information, and then use the generated precoding matrix to process the downlink signal.

Specifically, after obtaining the interference channel information of the PIM interference, the network device can calculate the main space vector and the null space vector of the PIM interference, and then perform PIM interference suppression based on the main space and the null space of the PIM interference, so that the downlink signal falls into the PIM In the null space of interference.

For example, the network device constructs a corresponding channel matrix according to the obtained interference channel information. By performing singular value decomposition (SVD) or orthogonalization of the channel matrix, the interference main space and the null space of the channel matrix are obtained, where the null space refers to the space without PIM signals, which can be considered as zero There is no PIM interference in the space. Furthermore, the network device may construct a null space matrix based on the obtained null space, and then project the initial precoding matrix to the null space matrix to obtain a new precoding matrix. That is, W _new = U*U ^H W, where U is the null-space matrix, U ^H and the null-space matrix U are mutually conjugate transposed relationships, W is the initial precoding matrix, and W _new is the new generated Precoding matrix. Then, the new precoding matrix can be used to perform precoding processing on the downlink signal.

Or, after obtaining the interference channel information of PIM interference, the network device can also treat the PIM source as a virtual user in the MIMO system, build a MU-MIMO model, and then use the MU-MIMO precoding scheme to generate a new precoding Matrix to increase the power of the target user while reducing the interference to the PIM source and other users, thereby suppressing the PIM interference.

For example, assuming that according to the interference channel information, the interference channels of K PIM sources can be expressed as:

Among them, h _pimi =[h _pimi,1 ,h _pimi,2 ,...,h _pimi,M ] represents the interference channel information from M antennas to the i-th PIM source, i=1, 2,...,K, M is The number of antennas.

At the same time, the transmission channels of L users can be expressed as:

Among them, h _UEj = [h _UEj,1 ,h _UEj,2 ,...,h _UEj,M ] represents the transmission channel information from M antennas to the jth user (ie UE _j ), j = 1, 2, ..., L.

From this, it can be obtained that the signal received by user j from the antenna after passing through the PIM source is:

Among them, Y _UE represents the signal reaching the user, Y _pim represents the signal reaching the PIM source, X _j is the original signal sent to the user j by the baseband, and Z is the system interference and noise.

Correspondingly, the newly generated precoding matrix of user j can be expressed as:

In this way, the new precoding matrix of user j can be used to perform precoding processing on the downlink signal of user j.

In the above formula 4, a _j refers to the received power strength of user j, and b _j refers to the received signal strength of the PIM source. In the embodiments of the present application, _{the values of a j} and b _j can be set reasonably according to specific optimization goals. For example, in order to ensure that the received signal of user j is not interfered by other users and PIM sources, and the signal passing through the PIM source is zero, a _j can be designed as a column vector with the jth element being 1 and the remaining elements being 0. It is L, and b _{j is} designed as a column vector with all 0 elements, and its dimension is K, but it should be understood that the application is not limited to this.

In the embodiment of the present application, the precoding matrix may also be referred to as a user weight matrix. The use of the precoding matrix to process the downlink signal may be to use the weight matrix of the new user to weight the downlink signal of the user to obtain the precoding processed downlink signal.

In another possible design, the network equipment can also calculate the null space of the channel matrix corresponding to the interference channel information, construct the null space matrix, and then project the pre-coding processed downlink signal to the null space matrix to obtain the processed downlink Signal. That is, Y _new = U*U ^H Y. Among them, U is the null-space matrix, U ^H is the conjugate transpose of the null-space matrix, Y is the pre-coded downlink signal, and Y _new is the processed downlink signal, that is, the pre-coded downlink signal is projected to the null-space matrix The downlink signal obtained later.

Step S303: The network device sends the processed downlink signal.

Optionally, the network device may send the processed downlink signal through multiple transmitting antennas.

Specifically, in step S301, the network device may obtain the interference channel information in multiple possible implementation manners as follows:

In the first possible implementation manner, as shown in FIG. 4, the network device acquiring the interference channel information from multiple transmit antennas to the PIM source may include the following steps:

Step S401: The network device generates a first scanning beam set, the first scanning beam set includes N scanning beams, the dimension of each scanning beam is equal to the number of transmitting antennas in the network device, and N is a positive integer greater than or equal to 1. .

In the embodiment of the present application, the downlink signal sent by the network device may be carried on two or more carriers. Therefore, the network device may generate the first scanning beam set according to the two or more carriers carrying the downlink signal. Taking two carriers as an example, when the network device generates the first scanning beam set, it can choose to fix the transmission beam of one carrier and design the scanning beam set for the other carrier; or, the network device can also design two sets of scanning beams for the two carriers. Scanning the beam set, and then traversing all the scanning beam combinations in the two scanning beam sets, and finally forming a scanning beam set.

In a possible design, the network device may obtain downlink channel coefficients from multiple transmit antennas to the PIM source according to a preset model, and then generate the first scanning beam set according to the downlink channel coefficients. The preset model may be based on a channel free space loss model, or may be based on an antenna electromagnetic field model, or other models, which are not limited in this application.

For example, the network device may generate the first set of scanning beams based on the channel free space loss model. Assuming that the channel from the antenna to the PIM source obeys large-scale fading, according to the channel free space loss model, the channel coefficient from the transmitting antenna to the PIM source can satisfy the following expression:

Among them, g _mn represents the channel coefficient _{from antenna m to PIM source n, r mn} is the distance from antenna m to PIM source n, G and k are constants related to the channel, m is less than or equal to a positive integer of M, and M is the transmit The number of antennas.

Based on the channel free space loss model, after determining the position of the PIM source on the antenna panel, the network device can calculate the downlink channel coefficients from multiple transmitting antennas to the PIM source through the above formula 5, and then generate the first Scanning beam collection. Assuming that the space where the PIM source may be located is divided into I grids, I is a positive integer, for a given PIM source i (ie grid i), the scanning beam corresponding to the PIM source i can be set as w _i =[ g _1i ,g _2i ,...,g _Mi ] ^H , in this way, scanning beams corresponding to all PIM sources (that is, all grids) can form the first scanning beam set, and the number of grids I can be determined according to the performance and complexity of the algorithm Set up reasonably.

For another example, the network device may also generate the first scan beam set based on the antenna electromagnetic field model. Assuming that the channel propagation from the antenna to the PIM source satisfies a certain electromagnetic field model, the channel coefficient from the transmitting antenna to the PIM source can satisfy the following expression:

g _mn = f(r _mn ) Formula 6

Among them, g _mn represents the channel coefficient _{from the antenna m to the PIM source n, r mn} is the distance from the antenna m to the PIM source n, and f() is any electromagnetic field model equation.

Based on the above electromagnetic field model, after determining the position of the PIM source on the antenna panel, the network device can calculate the downlink channel coefficients from multiple transmitting antennas to the PIM source through the above formula 6, and then generate the first scanning beam according to the downlink channel coefficients gather. Similarly, assuming that the space where the PIM source may be located is divided into I grids, I is a positive integer, for a given PIM source i (ie grid i), the scanning beam corresponding to the PIM source i can be set to w _i = [g _1i , g _2i ,..., g _Mi ] ^H , in this way, scanning beams corresponding to all PIM sources (that is, all grids) can form the first scanning beam set.

In another possible design, the network device can also generate the first scanning beam set based on random beams. At this time, the first scanning beam set is composed of several random beams. Therefore, the scanning beam set can also be called Random beam matrix. Assuming that the first scanning beam set can be expressed as W=[w ₁ ,w ₂ ,...,w _n ], then generating the first scanning beam set based on random beams means that each column vector w in the first scanning beam set _i is a random beam of dimension M generated based on a certain distribution function, where M is the number of transmitting antennas, and the distribution function can be ^{a Gaussian function with a mean value of 0 and a variance of σ 2} , or it can be [ 0,1] uniform distribution function, or other distribution functions, this application will not list them all here.

In another possible design, the network device may also generate the first scan beam set based on Fourier transform. Assuming that the first scanning beam set can be expressed as W=[w ₁ ,w ₂ ,...,w _n ], then generating the first scanning beam set based on Fourier transform means that each column vector w in the scanning beam set _{The dimensions of i} are all M, the M is the number of transmitting antennas, and _{the elements in each column vector w i} are integers satisfying the following Fourier transform:

Among them, _{the value range of k i} is [0,1], the value range of m is an integer of [0,M-1], and j represents the imaginary part.

In another possible design, the network device may also generate the first scan beam set based on the single antenna scan beam. Assuming that the first scanning beam set can be expressed as W=[w ₁ ,w ₂ ,...,w _M ], then generating the first scanning beam based on a single antenna scanning beam means that each column vector w _{i in the scanning beam set} The dimensions of are all M, the M is the number of transmitting antennas, and _{the value of the i-th element of the column vector w i} is 1, and the values of the other elements are all 0, that is, each of the first scanning beam set Each scanning beam is a single-antenna scanning beam, thereby forming a single-antenna scanning beam set.

In another possible design, as shown in Fig. 5a, the network device can generate the first scanning beam set through the orthogonalization method, and the process specifically includes:

Step S501: The network device generates a second scanning beam set. The second scanning beam set can be understood as an initial scanning beam set, which includes P scanning beams, and P is a positive integer.

Step S502: Traverse each scanning beam in the second scanning beam set to obtain an uplink PIM signal corresponding to each scanning beam. Then, use the second scanning beam set as the input scanning beam set of the first iteration, and perform the following iterative process:

Step S503: In the i-th iteration, select the scan beam with the highest received power of the corresponding uplink PIM signal in the input scan beam set as the first scan beam, and orthogonalize the input scan beam set based on the first scan beam Through the transformation process, the output scanning beam set in the i-th iteration is obtained.

Specifically, it is assumed that the input scanning beam set of the i-th iteration can be expressed as W=[w ₁ ,w ₂ ,...,w _p ].

The first scanning beam selected in the i-th iteration can be expressed as:

w _selet,i =SelectOne(w ₁ ,r _ulsignal (w ₁ ); w ₂ ,r _ulsignal (w ₂ ); ...; w _p ,r _ulsignal (w _p ))) Formula 8

Among them, SlectOne() represents the selection function used to select the first scanning beam, [w ₁ ,r _ulsignal (w ₁ _{)] represents the received signal r of the scanning beam w 1} in the input scanning beam set and its corresponding uplink PIM signal _ulsignal (w ₁ ), [w ₂ ,r _ulsignal (w ₂ )], [w _p ,r _ulsignal (w _p )] and so on.

Subsequently, based on the selected first scanning beam, the other beams in the input scanning beam set except the first scanning beam can be orthogonalized in the manner shown in Fig. 5b to construct a new scanning beam set, namely The set of output scanning beams in the i-th iteration

Since only the scanning beams other than the selected first scanning beam are processed during the orthogonalization process, the output scanning beam set includes only p-1 scanning beams. It can be understood that as the iteration progresses gradually, the number of remaining scanning beams in the output scanning beam set will gradually decrease.

Step S504: Traverse each scanning beam in the set of output scanning beams to obtain an uplink PIM signal corresponding to each scanning beam.

Here, traversing each scanning beam in the output scanning beam set in the i-th iteration refers to sending the downlink signal corresponding to each scanning beam through the transmitting antenna, and then receiving the uplink PIM signal generated by the downlink signal at the receiving end.

Step S505: If the received power of the uplink PIM signal corresponding to each scanning beam in the output scanning beam set meets the convergence condition, for example, the received power of the uplink PIM signal corresponding to each scanning beam in the output scanning beam set is less than a certain threshold, Or if the number of iterations reaches the first set threshold, the iteration ends.

At this time, the first scanning beam set can be constructed according to the first scanning beam selected in each iteration, that is, the first scanning beam set W _select =[w _select,1 ,w _select,2 ,...], where w _{select, 1} refers to the first scanning beam selected during the first iteration, w _{select, 2} refers to the first scanning beam selected during the second iteration, and so on.

Step S506. Otherwise, use the output scanning beam set in the i-th iteration as the input scanning beam set of the next iteration, and enter the next iteration.

It can be seen that due to the orthogonalization process, in the first scanning beam set generated by the method shown in Fig. 5a and Fig. 5b, the scanning beams are orthogonal to each other. In this iterative process, you can obtain To all the spatial components of the PIM signal, the space where the PIM interference is located can be avoided when the downlink signal is sent, thereby avoiding the generation of the PIM interference signal.

In another possible design, as shown in FIG. 6, the network device may also generate the first scanning beam set through incremental reconstruction, and this process specifically includes:

Step S601: The network device generates a second scanning beam set. The second scanning beam set can be understood as an initial scanning beam set, which includes P scanning beams, and P is a positive integer. Subsequently, the second scanning beam set is used as the input scanning beam set of the first iteration, and the following iterative process is performed:

Step S602: In the i-th iteration, for each scanning beam in the input scanning beam set, the scanning beam and each offset vector in the preset offset vector set are respectively added to obtain the i-th iteration The set of output scanning beams in.

Suppose that the set of input scanning beams in the i-th iteration is denoted as W _inital , the preset offset vector set is denoted as W _add , the set of output scanning beams in the i-th iteration is denoted as W _scan , and the input scanning beam set W _inital Including P scanning beams, the offset vector set W _add includes R offset vectors. The P scanning beams and R offset vectors have the same dimensions, and both have the number of transmitting antennas M. Then the input scanning beam set W _After a scanning beam w _{i in} inital and each offset vector [w _add1 , w _add2 ,..., w _addM ] in the offset vector set W _add are added separately, M new corresponding _{scanning beams w i will be obtained.} The scanning beam of [w _i +w _add1 ,w _i +w _add2 ,…,w _i +w _addR ]. These M new scanning beams can be regarded as the original scanning beams w _i are offset in M different directions. Therefore, it can be regarded as M refined _{based on the original scanning beams w i} Scan the beam.

In this way, after traversing _{each scanning beam in the input scanning beam set W inital} , P*R new scanning beams will be obtained. These P*R new scanning beams constitute the output scanning beam set W in the i-th iteration. _scan .

After the above processing, the number of scanning beams in the output scanning beam set in the i-th iteration is greater than the number of scanning beams in the input scanning beam set, and the output scanning beam set includes any one of the scanning beams and the offset in the input scanning beam set. The sum of any offset vector in the set of offset vectors. Therefore, the output scanning beam set may also be referred to as a refined scanning beam set after incremental reconstruction.

Step S603: Traverse each scanning beam in the output scanning beam set in the i-th iteration to obtain an uplink PIM signal corresponding to each scanning beam.

Here, traversing each scanning beam in the set of output scanning beams in the i-th iteration refers to sending the downlink transmission signal corresponding to each scanning beam through the transmitting antenna, and then receiving the uplink PIM signal generated by the downlink signal at the receiving end .

Step S604: If the first Q received power of the uplink PIM signal corresponding to the scanning beam in the output scanning beam set tends to converge, or the current iteration number reaches the second set threshold, the iteration ends. At this time, you can The first P scanning beams with the largest received power of the corresponding uplink PIM signal in the output scanning beam set are formed into the first scanning beam set, and Q is a positive integer greater than or equal to 1.

Step S605. Otherwise, take the first P scanning beams with the largest received power of the corresponding uplink PIM signal in the output scanning beam set as the input scanning beam set in the next iteration, and enter the next iteration.

It can be seen that by performing incremental reconstruction and iterative processing, the direction of the scanning beam in the scanning beam set can be continuously approached to the spatial direction of the PIM signal, thereby effectively improving the accuracy of the scanning beam direction in the first scanning beam set.

It should be noted that in the two possible designs shown in FIG. 5a and FIG. 6, the second scanning beam set may be pre-configured, or it may be determined by the aforementioned other possible designs. The set of scanning beams generated by the method described above may be, for example, a set of scanning beams generated based on a free-space loss model or an antenna physical model, a set of scanning beams generated based on a random beam or Fourier transform, or a set of scanning beams generated by other methods. The set of scanning beams generated by the method is not limited in this application.

Step S402: The network device traverses the scanning beams in the first scanning beam set to obtain the uplink PIM signal corresponding to each scanning beam.

In step S402, the network device traversing the scanning beams in the first scanning beam set means that the network device generates a downlink transmission signal corresponding to each scanning beam, and transmits the downlink transmission signal to the terminal device through the transmitting antenna, and then through the receiving antenna Receive the corresponding uplink PIM signal.

Step S403: The network device determines the interference channel information according to one or more scanning beams in the first scanning beam set corresponding to the uplink PIM signal that meets the set condition.

In the embodiment of the present application, the network device may determine the interference channel information from the transmitting antenna to the PIM source according to the received power of the uplink PIM signal corresponding to each scanning beam in the first scanning beam set.

Assuming that the first scanning beam set is W=[w ₁ ,w ₂ ,...,w _n ], then the interference channel information can be expressed as:

h _pim = Map(Select(w ₁ ,r _ulaignal (w ₁ ); w ₂ ,r _ulsignal (w ₂ ); ...; w _n ,r _ulsignal (w _n ))) Formula 9

Wherein, h _pim represents the interference channel information, and Select() is a selection function, which is used to indicate that one or more scanning beams that meet the set conditions are selected from the scanning beam set included in the first scanning beam set; Map( ) Is a mapping function, used to represent the mapping relationship between the interference channel information from multiple transmit antennas to the PIM source and the selected one or more scanning beams; [w _i ,r _ulsignal (w _i )] represents the scanning beam w _i and its corresponding uplink PIM signal received signal.

In a possible design, the one or more scanning beams for which the corresponding uplink PIM signal satisfies the set condition may be the one with the largest received power of the corresponding uplink PIM signal among the scanning beams included in the first scanning beam set. Scan the beam. Correspondingly, the network device can determine the interference channel information according to the scanning beam with the largest received power of the corresponding uplink PIM signal.

In this scenario, the selected scanning beam with the highest received power of the corresponding uplink PIM signal can be expressed as:

The interference channel information can be expressed as:

Among them, w _select represents the selected scanning beam. At this time, the channel matrix corresponding to the interference channel information is the conjugate transpose of the selected scanning beam with the largest received power of the corresponding uplink PIM signal.

In another possible design, the one or more scanning beams for which the corresponding uplink PIM signal satisfies the set condition may be: the received power of the corresponding uplink PIM signal in each scanning beam included in the first scanning beam set is the largest For the first S scanning beams, the S is a positive integer greater than or equal to 2. Correspondingly, the network device may determine the interference channel information according to the selected first S scanning beams with the largest received power of the corresponding uplink PIM signal.

In this scenario, the selected first S scanning beams with the highest received power of the corresponding uplink PIM signal can be expressed as:

The interference channel information can be expressed as:

Among them, w _select represents the selected scanning beam.

It should be noted that, at this time, the channel matrix corresponding to the interference channel information may be the conjugate of the first S scanning beams with the largest received power of the selected corresponding uplink PIM signal, that is, from the S The conjugate transposed matrix of the beam matrix formed by the scanning beam.

Alternatively, the channel matrix corresponding to the interference channel information may also be the conjugate of one or more eigenvectors of the correlation matrices of the first S scanning beams with the highest received power of the selected corresponding uplink PIM signal. For example, the correlation matrix of the first S scanning beams may be

The correlation matrix

Perform SVD decomposition to obtain each eigenvector of the correlation matrix, and then take the _{conjugate value of the eigenvector corresponding to the first S p} largest eigenvalues as the interference channel information, namely

s _p is a positive integer less than or equal to S, and EigVec _i is the i-th eigenvector obtained.

In the second possible implementation manner, as shown in FIG. 7, the network device acquiring the interference channel information from multiple transmitting antennas to the PIM source may also include the following steps:

In step S701, the network device constructs a signal model from multiple transmitting antennas to a PIM source, and from a PIM source to multiple receiving antennas.

The signal model may also be called a neural network model, which is used to describe the nonlinear characteristics between the air interface signal in the near field and the PIM source.

Step S702: The network device transmits multiple sets of known signals through multiple transmitting antennas, and receives uplink PIM signals corresponding to each of the multiple sets of known signals through multiple receiving antennas.

Step S703: The network device performs neural network training on the signal model according to the multiple sets of known signals and the uplink PIM signal corresponding to each set of known signals, and determines the interference channel information according to the signal model obtained by the training.

Optionally, the network device may use an error back propagation (BP) algorithm for neural network training.

For example, suppose there are two sets of transmitting antennas, namely TX1 and TX2. The two sets of antennas are respectively used to transmit two downlink signals x ₁ and x _{2 of} different frequencies. In this way, the transmitted signal from the transmitting antenna to the k-th PIM source can be expressed as:

in,

Represents the channel information from antenna group TX1 to PIM source k,

Represents the channel information from antenna group TX2 to PIM source k.

The uplink PIM signal generated after the downlink transmission signal received by the nth receiving antenna passes through the PIM source can be expressed as:

Among them, f _nk represents the channel coefficient from PIM source k to antenna n, and c _k is the nonlinear coefficient of PIM source k.

Therefore, two layers of networks are constructed as follows: the downlink transmission signal from the transmitting antenna to the PIM source and the PIM interference signal from the PIM source to the receiving antenna. At the same time, a set of downlink transmission sequences x ₁ and x ₂ is constructed, and the received signal r _{n is obtained} . Use the BP algorithm for online training, estimate the parameters h _k , g _k , f _nk and c _k , so as to obtain the interference channel information of PIM.

Using the above technical solution, the network equipment can avoid the excitation of passive intermodulation sources through the degree of freedom in the downlink space, and effectively suppress the passive intermodulation signals at the downlink transmitting end, so that the generation of passive intermodulation interference signals can be avoided and eliminated The passive intermodulation signal interferes with the uplink received signal, thereby effectively improving the performance of the communication system and improving the utilization rate of wireless resources.

In the embodiment of the present application, the above method can also be applied to frequency domain scheduling of downlink users. For example, the downlink user frequency band can be divided into two types of subsets, which have a large impact on the uplink user frequency band and a small impact, which are denoted as subset A and subset B. Based on the correlation between the interference channel information of passive intermodulation and the downlink channel (base station to user), users with high correlation can be scheduled in subset B (with little impact on uplink users), and users with low correlation can be scheduled in subset B. Subset A (has a great impact on uplink users), thereby reducing the interference of passive intermodulation signals on uplink users caused by signals sent by downlink users.

An embodiment of the present application also provides a communication device. Please refer to FIG. 8, which is a schematic structural diagram of a communication device provided in an embodiment of this application. The communication device 800 includes a transceiver module 810 and a processing module 820. The communication device can be used to implement the functions related to the network equipment in any of the foregoing method embodiments. For example, the communication device may be a network device or a chip included in the network device.

When the communication device is used as a network device to execute the method embodiment shown in FIG. 3, the transceiver module 810 is used to obtain interference channel information from multiple transmitting antennas to the passive intermodulation PIM source, and according to the interference channel information, Process the downlink signal; the processing module 820 is configured to send the processed downlink signal.

In a possible design, the processing module 820 is specifically configured to obtain interference channel information from multiple transmit antennas to the PIM source in the following manner: generate a first scanning beam set, and the first scanning beam set includes multiple Scanning beams, the dimension of each scanning beam is the number of transmitting antennas; traversing the scanning beams in the first scanning beam set to obtain the uplink PIM signal corresponding to each scanning beam; according to the corresponding uplink PIM signal in the first scanning beam set One or more scanning beams that meet the set conditions determine the interference channel information.

In a possible design, the one or more scanning beams corresponding to the uplink PIM signal in the first scanning beam set that meet the set conditions are the scanning beams with the highest received power of the corresponding uplink PIM signal in the first scanning beam set The processing module 820 is specifically configured to determine the interference channel information according to the scanning beam with the largest received power of the corresponding uplink PIM signal in the first scanning beam set.

In a possible design, the channel matrix corresponding to the interference channel information is the conjugate of the scanning beam with the largest received power of the corresponding uplink PIM signal in the first scanning beam set.

In a possible design, the one or more scanning beams in the first scanning beam set corresponding to the uplink PIM signal satisfying the set conditions are the first S with the largest received power of the corresponding uplink PIM signal in the first scanning beam set. The S is a positive integer; the processing module 820 is specifically configured to determine the interference channel information according to the first S scanning beams with the largest received power of the corresponding uplink PIM signal in the first scanning beam set.

In a possible design, the channel matrix corresponding to the interference channel information is the conjugate of the first S scanning beams with the largest received power of the corresponding uplink PIM signal in the first scanning beam set, or the first scanning beam The conjugate of one or more eigenvectors of the correlation matrices of the first S scanning beams with the highest received power of the corresponding uplink PIM signal in the set.

In a possible design, the processing module 820 is specifically configured to generate a first scanning beam set in the following manner: generating a second scanning beam set, traversing the scanning beams in the second input scanning beam set, and obtaining each scan The uplink PIM signal corresponding to the beam; the second scanning beam set is used as the input scanning beam set of the first iteration, and the following iterative process is performed: In the i-th iteration, the received power of the uplink PIM signal corresponding to the input scanning beam set is selected The largest scanning beam is used as the first scanning beam; based on the first scanning beam, the input scanning beam set is orthogonalized to obtain the output scanning beam set in the i-th iteration, and the output scanning beam set includes the input scanning beam The scanning beam after each scanning beam in the set except the first scanning beam is orthogonal to the first scanning beam; traversing the scanning beams in the output scanning beam set to obtain the uplink PIM signal corresponding to each scanning beam; If the received power of the uplink PIM signal corresponding to each scanning beam in the output scanning beam set satisfies the convergence condition, or the number of iterations reaches the first set threshold, the iteration ends, and the first scanning beams selected during each iteration are formed The first scanning beam set; otherwise, enter the next iteration, and use the output scanning beam set as the input scanning beam set in the next iteration.

In a possible design, the processing module 820 is specifically configured to generate a first scanning beam set in the following manner: generating a second scanning beam set, the second scanning beam set includes P scanning beams; The scanning beam set is used as the input scanning beam set of the first iteration, and the following iterative process is performed: in the i-th iteration, for each scanning beam in the input scanning beam set, the scanning beam is offset from the preset vector Each offset vector in the set is added separately to obtain the output scanning beam set in the i-th iteration; each scanning beam in the output scanning beam set is traversed to obtain the uplink PIM signal corresponding to each scanning beam; if output The first Q received power of the uplink PIM signal corresponding to the scanning beam in the scanning beam set tends to converge, or the current iteration number reaches the second set threshold, the iteration ends, and the corresponding uplink in the scanning beam set will be output The first P scanning beams with the largest received power of the PIM signal constitute the first scanning beam set; otherwise, the next iteration is entered, and the first P scanning beams with the largest received power of the corresponding uplink PIM signal in the output scanning beam set are taken as The set of input scanning beams in the next iteration.

In a possible design, the processing module 820 is specifically configured to generate the first scanning beam set in the following manner: according to the channel free space loss model or the antenna electromagnetic field model, the downlink channel coefficients from the multiple transmitting antennas to the PIM source are obtained ; According to the downlink channel coefficient, generate the first scanning beam set.

In a possible design, the processing module 820 is specifically configured to obtain the interference channel information from multiple transmitting antennas to the PIM source in the following manner: construct multiple transmitting antennas to the PIM source, and PIM source to multiple receiving antennas Signal model; transmit multiple sets of known signals on multiple transmit antennas, and receive uplink PIM signals corresponding to each of the multiple sets of known signals on multiple receiving antennas; according to the multiple sets of known signals The signal and the uplink PIM signal corresponding to each group of known signals are trained on the neural network of the signal model; the interference channel information is determined according to the signal model obtained by the training.

In a possible design, the processing module 820 is specifically configured to generate a precoding matrix according to the interference channel information; and use the precoding matrix to perform precoding processing on the downlink signal.

In a possible design, the processing module 820 is specifically configured to calculate the null space of the channel matrix corresponding to the interference channel information, construct the null space matrix, and project the initial precoding matrix to the null space matrix to generate a new null space matrix. Or, regard the PIM source as a virtual user in the MIMO system, and generate the precoding matrix according to the interference channel information.

In a possible design, the processing module 820 is specifically configured to perform precoding processing on the downlink signal; calculate the null space of the channel matrix corresponding to the interference channel information, construct the null space matrix, and perform the precoding processing on the downlink The signal is projected to the null space matrix to obtain the processed downstream signal.

It should be understood that the processing module 820 involved in the communication device may be implemented by a processor or a processor-related circuit component, and the transceiver module 810 may be implemented by a transceiver or a transceiver-related circuit component. The operation and/or function of each module in the communication device is to implement the corresponding process of the method shown in FIG. 3, and is not repeated here for brevity.

Please refer to FIG. 9, which is a schematic diagram of another structure of a communication device provided in an embodiment of this application. The communication device may be specifically a type of network equipment, such as a base station, which is used to implement the functions of the network equipment in any of the foregoing method embodiments.

The network device 900 includes: one or more radio frequency units, such as a remote radio unit (RRU) 901 and one or more baseband units (BBU) (also referred to as digital units, digital units, DU)902. The RRU 901 may be called a transceiver unit, a transceiver, a transceiver circuit, or a transceiver, etc., and it may include at least one antenna 9011 and a radio frequency unit 9012. The part of the RRU 901 is mainly used for the transmission and reception of radio frequency signals and the conversion between radio frequency signals and baseband signals. The part 902 of the BBU is mainly used for baseband processing, control of the base station, and so on. The RRU 901 and the BBU 902 may be physically set together, or may be physically separated, that is, a distributed base station.

The BBU 902 is the control center of the base station, and may also be called a processing unit, which is mainly used to complete baseband processing functions, such as channel coding, multiplexing, modulation, and spreading. For example, the BBU (processing unit) 902 may be used to control the base station to execute the operation procedure of the network device in the foregoing method embodiment.

In an example, the BBU 902 may be composed of one or more single boards, and multiple single boards may jointly support a radio access network with a single access indication (such as an LTE network), or support different access standards. Wireless access network (such as LTE network, 5G network or other network). The BBU 902 may also include a memory 9021 and a processor 9022, and the memory 9021 is used to store necessary instructions and data. The processor 9022 is used to control the base station to perform necessary actions, for example, to control the base station to perform the sending operation in the foregoing method embodiment. The memory 9021 and the processor 9022 may serve one or more single boards. In other words, the memory and processor can be set separately on each board. It can also be that multiple boards share the same memory and processor. In addition, necessary circuits can be provided on each board.

An embodiment of the present application also provides a chip system, including: a processor, the processor is coupled with a memory, the memory is used to store a program or instruction, when the program or instruction is executed by the processor, the The chip system implements the method in any of the foregoing method embodiments.

Optionally, there may be one or more processors in the chip system. The processor can be implemented by hardware or software. When implemented by hardware, the processor may be a logic circuit, an integrated circuit, or the like. When implemented by software, the processor may be a general-purpose processor, which is implemented by reading software codes stored in the memory.

Exemplarily, the chip system may be a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), or a system on chip (SoC). It can also be a central processor unit (CPU), a network processor (NP), a digital signal processing circuit (digital signal processor, DSP), or a microcontroller (microcontroller). The controller unit, MCU), may also be a programmable logic device (PLD) or other integrated chips.

It should be understood that each step in the foregoing method embodiment may be completed by a logic circuit in a processor or an instruction in the form of software. The steps of the method disclosed in the embodiments of the present application may be directly embodied as executed and completed by a hardware processor, or executed and completed by a combination of hardware and software modules in the processor.

The embodiments of the present application also provide a computer-readable storage medium, which stores computer-readable instructions, and when the computer reads and executes the computer-readable instructions, the computer is caused to execute any of the above-mentioned method embodiments In the method.

The embodiments of the present application also provide a computer program product. When the computer reads and executes the computer program product, the computer is caused to execute the method in any of the foregoing method embodiments.

An embodiment of the present application also provides a communication system, which includes a network device and at least one terminal device.

It should be understood that the processor mentioned in the embodiments of the present application may be a CPU, other general-purpose processors, DSP, ASIC, FPGA or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, and so on. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor or the like.

It should also be understood that the memory mentioned in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memory. Among them, the non-volatile memory can be read-only memory (ROM), programmable read-only memory (programmable ROM, PROM), erasable programmable read-only memory (erasable PROM, EPROM), and electrically available Erase programmable read-only memory (electrically EPROM, EEPROM) or flash memory. The volatile memory may be random access memory (RAM), which is used as an external cache. By way of exemplary but not restrictive description, many forms of RAM are available, such as static random access memory (static RAM, SRAM), dynamic random access memory (dynamic RAM, DRAM), and synchronous dynamic random access memory (synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (double data rate SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (enhanced SDRAM, ESDRAM), synchronous connection dynamic random access memory (synchlink DRAM, SLDRAM) ) And direct memory bus random access memory (direct rambus RAM, DR RAM).

It should be noted that when the processor is a general-purpose processor, DSP, ASIC, FPGA or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component, the memory (storage module) is integrated in the processor.

It should be noted that the memories described herein are intended to include, but are not limited to, these and any other suitable types of memories.

It should be understood that the various numerical numbers involved in the various embodiments of the present application are only for the convenience of description. The size of the sequence numbers of the above-mentioned processes does not imply the order of execution, and the execution order of the processes should be based on their The functions and internal logic are determined, and should not constitute any limitation on the implementation process of the embodiments of the present invention. S

A person of ordinary skill in the art may realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraint conditions of the technical solution. Professionals and technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered beyond the scope of this application.

Those skilled in the art can clearly understand that, for the convenience and conciseness of description, the specific working process of the above-described system, device, and unit can refer to the corresponding process in the foregoing method embodiment, which is not repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed system, device, and method may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components may be combined or It can be integrated into another system, or some features can be ignored or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms.

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

In addition, the functional units in the various embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit.

If the function 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 this application essentially or the part that contributes to the existing technology or the 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 are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory, random access memory, magnetic disk or optical disk and other media that can store program codes.

The above are only specific implementations of this application, but the protection scope of this application is not limited to this. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application. Should be covered within the scope of protection of this application. Therefore, the protection scope of this application shall be subject to the protection scope of the claims.

Claims

A communication method, characterized in that the method includes:

Obtain the interference channel information from multiple transmitting antennas to the passive intermodulation PIM source;

Processing the downlink signal according to the interference channel information;

Sending the processed downlink signal.
The method according to claim 1, wherein the obtaining interference channel information from multiple transmitting antennas to the PIM source comprises:

Generating a first scanning beam set, where the first scanning beam set includes a plurality of scanning beams, and the dimension of each scanning beam is the number of the transmitting antennas;

Traverse the scanning beams in the first scanning beam set to obtain the uplink PIM signal corresponding to each scanning beam;

The interference channel information is determined according to one or more scanning beams in the first scanning beam set corresponding to the uplink PIM signal satisfying a set condition.
The method according to claim 2, wherein the one or more scanning beams corresponding to the uplink PIM signal in the first scanning beam set satisfying a set condition are: the corresponding uplink PIM signal in the first scanning beam set The scanning beam with the largest received power of the PIM signal;

The determining the interference channel information includes:

The interference channel information is determined according to the scanning beam with the largest received power of the corresponding uplink PIM signal in the first scanning beam set.
The method according to claim 3, wherein the channel matrix corresponding to the interference channel information is the conjugate of the scanning beam with the largest received power of the corresponding uplink PIM signal in the first scanning beam set.
The method according to claim 2, wherein the one or more scanning beams corresponding to the uplink PIM signal in the first scanning beam set satisfying a set condition are: the corresponding uplink PIM signal in the first scanning beam set The first S scanning beams with the largest received power of the PIM signal, where S is a positive integer;

The determining the interference channel information includes:

The interference channel information is determined according to the first S scanning beams with the largest received power of the corresponding uplink PIM signal in the first scanning beam set.
The method according to claim 5, wherein the channel matrix corresponding to the interference channel information is the conjugate of the first S scanning beams with the largest received power of the corresponding uplink PIM signal in the first scanning beam set Or, the conjugate of one or more eigenvectors of the correlation matrices of the first S scanning beams corresponding to the uplink PIM signal with the largest received power in the first scanning beam set.
The method according to any one of claims 1 to 6, wherein the generating a first scanning beam set comprises:

Generating a second scanning beam set, traversing the scanning beams in the second input scanning beam set, to obtain an uplink PIM signal corresponding to each scanning beam;

Using the second scanning beam set as the input scanning beam set of the first iteration, the following iterative process is performed:

In the i-th iteration, the scanning beam with the largest received power of the uplink PIM signal corresponding to the input scanning beam set is selected as the first scanning beam;

Based on the first scanning beam, the input scanning beam set is orthogonalized to obtain the output scanning beam set in the i-th iteration. The output scanning beam set includes the input scanning beam set except for A scanning beam after each scanning beam other than the first scanning beam is orthogonal to the first scanning beam;

Traverse the scanning beams in the set of output scanning beams to obtain the uplink PIM signal corresponding to each scanning beam;

If the received power of the uplink PIM signal corresponding to each scanning beam in the set of output scanning beams meets the convergence condition, or the number of iterations reaches the first set threshold, the iteration ends, and the first scanning beam selected in each iteration process Forming the first scanning beam set;

Otherwise, enter the next iteration, and use the output scanning beam set as the input scanning beam set in the next iteration.
The method according to any one of claims 1 to 6, wherein the generating a first scanning beam set comprises:

Generating a second scanning beam set, where the second scanning beam set includes P scanning beams;

Using the second scanning beam set as the input scanning beam set of the first iteration, the following iterative process is performed:

In the i-th iteration, for each scanning beam in the input scanning beam set, the scanning beam and each offset vector in the preset offset vector set are respectively added to obtain the i-th iteration The output scanning beam set in;

Traverse each scanning beam in the set of output scanning beams to obtain an uplink PIM signal corresponding to each scanning beam;

If the first Q received power of the uplink PIM signal corresponding to the scanning beam in the output scanning beam set tends to converge, or the current iteration number reaches the second set threshold, the iteration ends, and the output is scanned The first P scanning beams with the largest received power of the corresponding uplink PIM signal in the beam set constitute the first scanning beam set;

Otherwise, enter the next iteration, and use the first P scanning beams with the largest received power of the corresponding uplink PIM signal in the output scanning beam set as the input scanning beam set in the next iteration.
The method according to any one of claims 1 to 6, wherein the generating a first scanning beam set comprises:

Obtaining the downlink channel coefficients from the multiple transmitting antennas to the PIM source according to the channel free space loss model or the antenna electromagnetic field model;

According to the downlink channel coefficient, the first scanning beam set is generated.
The method according to claim 1, wherein the obtaining interference channel information from multiple transmitting antennas to the PIM source comprises:

Constructing a signal model from the multiple transmitting antennas to the PIM source, and the PIM source to multiple receiving antennas;

Transmitting multiple sets of known signals on the multiple transmitting antennas, and receiving uplink PIM signals corresponding to each of the multiple sets of known signals on the multiple receiving antennas;

Performing neural network training on the signal model according to the multiple sets of known signals and the uplink PIM signal corresponding to each set of known signals;

Determine the interference channel information according to the signal model obtained by training.
The method according to any one of claims 1 to 10, wherein the processing a downlink signal according to the interference channel information comprises:

Generating a precoding matrix according to the interference channel information;

Perform precoding processing on the downlink signal by using the precoding matrix.
The method according to claim 11, wherein the generating a precoding matrix according to the interference channel information comprises:

Calculate the null space of the channel matrix corresponding to the interference channel information, construct a null space matrix, and project the initial precoding matrix to the null space matrix to generate a new precoding matrix; or,

The PIM source is regarded as a virtual user in the MIMO system, and a precoding matrix is generated according to the interference channel information.
The method according to any one of claims 1 to 10, wherein the processing a downlink signal according to the interference channel information comprises:

Performing precoding processing on the downlink signal;

Calculate the null space of the channel matrix corresponding to the interference channel information, construct a null space matrix, and project the pre-coding processed downlink signal onto the null space matrix to obtain the processed downlink signal.
A communication device, characterized in that the device comprises a unit for executing the method according to any one of claims 1 to 13.
A communication device, characterized in that the device includes at least one processor, and the at least one processor is coupled with at least one memory:

The at least one processor is configured to execute a computer program or instruction stored in the at least one memory, so that the device executes the method according to any one of claims 1 to 13.
A computer-readable storage medium, characterized in that it is used to store instructions, and when the instructions are executed, the method according to any one of claims 1 to 13 is implemented.