WO2018103086A1

WO2018103086A1 - Sending-end joint preprocessing method and apparatus, and system

Info

Publication number: WO2018103086A1
Application number: PCT/CN2016/109266
Authority: WO
Inventors: 王祥; 法兹罗拉西阿米尔
Original assignee: 华为技术有限公司
Priority date: 2016-12-09
Filing date: 2016-12-09
Publication date: 2018-06-14
Also published as: CN109478916A

Abstract

The embodiments of the present invention relate to a sending-end joint preprocessing method and apparatus. The method comprises: acquiring a first channel matrix in a direction from at least one receiving end device to at least one sending end device and a second channel matrix in a direction from at least one sending end device to at least one receiving end device in a first stage; using channel symmetry to determine a correction diagonal parameter between the first channel matrix and the second channel matrix according to the first channel matrix and the second channel matrix; acquiring a third channel matrix in a direction from at least one receiving-end device to at least one sending-end device in a second stage, wherein the first stage is prior to the second stage; and performing, in the second stage, sending-end joint preprocessing on a signal to be sent by at least one sending-end device based on the third channel matrix and the correction diagonal parameter. It can be seen from the above that in the embodiments of the present invention, the effect of cancelling the interference is good.

Description

Transmitter joint preprocessing method, device and system

Technical field

The embodiments of the present invention relate to the field of communications, and in particular, to a method, an apparatus, and a system for jointly preprocessing a sender.

Background technique

Orthogonal Frequency Division Multiplexing (OFDM) technology is developed by Multi-Carrier Modulation (MCM) technology. OFDM technology is one of the implementation methods of multi-carrier transmission scheme, and it is a multi-carrier transmission technology with the lowest complexity and the widest application. In a communication system, the bandwidth that a channel can provide is typically much wider than the bandwidth required to transmit one signal. If a channel transmits only one signal, it is very wasteful. In order to make full use of the bandwidth of the channel, a frequency division multiplexing method can be used. The main idea of OFDM is to divide the channel into several orthogonal subchannels, convert the high speed data signals into parallel low speed sub-data streams, and modulate them to transmit on each sub-channel. The orthogonal signals can be separated by using correlation techniques at the receiving end, which can reduce mutual interference between subchannels. The signal bandwidth on each subchannel is smaller than the relevant bandwidth of the channel, so each subchannel can be regarded as flatness fading, thereby eliminating inter-code crosstalk, and since the bandwidth of each subchannel is only a small part of the original channel bandwidth, the channel Equilibrium becomes relatively easy.

Multiple-Input Multiple-Output (MIMO) technology refers to the use of multiple transmit and receive antennas at the transmitting end and the receiving end, respectively, so that signals are transmitted and received through multiple antennas at the transmitting end and the receiving end, thereby improving communication. quality. It can make full use of space resources, realize multiple transmission and multiple reception through multiple antennas, and can increase the system channel capacity by multiple times without increasing spectrum resources and antenna transmission power, showing obvious advantages and being regarded as next generation mobile. The core technology of communication.

In the prior art, MIMO technology and OFDM technology are adopted in both Digital Subscriber Line (DSL) technology and Wireless-Fidelity (WiFI) technology. For the interference generated by multiple signals when using MIMO technology, the above interference can be cancelled by the joint transmission of the transmitting end or the joint receiving by the receiving end. In the current technology, the transmitting end is being performed. In the joint pre-processing, the transmitting end needs to obtain the channel information from the transmitting end to the receiving end. The current technology generally obtains the channel information or the error information by the receiving end to the transmitting end, which means that the receiving direction of the transmitting end needs to be occupied. The bandwidth for transmitting user data. In order to avoid such bandwidth occupation, in the WiFi technology, channel information in the receiving direction is proposed to reconstruct channel information in the sending direction. However, in the current WiFi technology, an initial correction scheme is adopted at the factory, which generally only compensates for the mismatch between the transmission direction and the reception direction caused by the local transceiver. However, in reality, the system works in the case of power-on and establishes a data link. Based on the actual situation of the double-ended device, the double-ended analog device will perform specific settings, which results in both the transmitting direction and the receiving direction. The channel has a different impact. Therefore, the initial correction performed at the time of shipment is generally difficult to achieve practical results. Correspondingly, the effect of canceling the interference after the joint is pre-processed is not good.

Summary of the invention

The embodiment of the invention provides a method, a device and a system for jointly processing a sender, which can be applied to the joint pre-processing of the sender in the actual transmission data scenario, and the effect of canceling the interference is good.

In one aspect, an embodiment of the present invention provides a method for jointly performing pre-processing at a transmitting end, where the method is applied to a MIMO system including at least one transmitting end device and at least one receiving end device, where each transmitting end device includes multiple transceivers. Acquiring a first channel matrix of the first stage of the at least one receiving end device to the at least one transmitting end device direction and a second channel matrix of the at least one transmitting end device to the at least one receiving end device direction; according to the first channel matrix and the second channel a matrix, applying channel symmetry to determine a corrected diagonal parameter between the first channel matrix and the second channel matrix; acquiring a third channel matrix of the second stage of the at least one receiving end device to the at least one transmitting end device direction, wherein, One stage is before the second stage; in the second stage, based on the third channel matrix and the corrected diagonal parameter, the signal to be sent by the at least one transmitting end device is jointly pre-processed by the transmitting end.

In the embodiment of the present invention, the characteristics that the correction diagonal parameter does not change in a short time are utilized, and only the channel matrix of the transmission direction of the transmitting end device and the channel matrix of the receiving direction are acquired in the first stage, and two channel symmetry are determined by using the channel symmetry. Correcting the diagonal parameter between the channel matrices in the direction, in the second phase, only obtaining the channel matrix of the receiving direction of the transmitting device without acquiring the channel matrix of the transmitting direction, the channel matrix based on the sending direction, and the correcting pair determined in the first stage The angle parameter performs joint pre-processing on the signal to be sent by at least one transmitting end device, thereby saving the bandwidth occupation and canceling the interference.

In a possible implementation, in the first stage, according to at least one receiving end device to at least The channel information in the direction of a transmitting device determines the first channel matrix.

In the embodiment of the present invention, the manner of determining the channel matrix of the receiving end device receiving direction is simple and easy to implement.

In a possible implementation, the at least one transmitting end device sent by the at least one receiving end device to the second channel matrix of the at least one receiving end device direction is received in the first stage; or the at least one receiving end is received in the first stage. The channel information sent by the at least one sending end device of the device to the at least one receiving end device direction determines the second channel matrix according to the channel information of the at least one transmitting end device to the at least one receiving end device direction.

In the embodiment of the present invention, the manner in which the source device sends the direction channel matrix in the first stage is flexible, and the channel matrix can be directly received from the receiving device, and the channel information can be received from the receiving device, and the channel information is determined according to the channel information. Channel matrix.

In a possible implementation, the first channel receives a fourth channel matrix of the at least one transmitting end device sent by the part of the receiving end device to the part of the receiving end device in the first stage, according to the first channel matrix, The four-channel matrix uses channel symmetry to obtain a second channel matrix of at least one transmitting end device to at least one receiving end device direction; or, in the first phase, receives at least one transmitting end device sent by a part of the receiving end devices of the at least one receiving end device Channel information to a part of the receiving end device, determining, according to channel information of at least one transmitting end device to a part of the receiving end device, a fourth channel matrix of at least one transmitting end device to a part of the receiving end device direction, according to the first channel matrix, The four-channel matrix utilizes channel symmetry to obtain a second channel matrix of at least one transmitting end device to at least one receiving end device direction.

In the embodiment of the present invention, when determining the channel matrix in the sending direction of the transmitting device, only the channel matrix or channel information sent by the part of the receiving device may be obtained, and the complete channel matrix is determined by using channel symmetry, thereby saving the complete channel. The time of the matrix.

In a possible implementation, according to the formula

or

Determining a first corrected diagonal matrix A and a first corrected diagonal matrix B; wherein H _RD is a first channel matrix and H _TD is a second channel matrix,

Represents the transpose of the matrix H _RD ,

Indicates the conjugate transpose of H _RD .

In the embodiment of the present invention, two possible ways of correcting the diagonal matrix by using channel symmetry are provided, and the coverage is wide.

In a possible implementation manner, H _RD and H _TD are diagonally _blocked by synchronously changing rows and columns, and each diagonal block is separately calculated, and all diagonal blocks are spliced together to obtain a complete first The diagonal matrix A and the first corrected diagonal matrix B are corrected.

In the embodiment of the present invention, a method for calculating a corrected diagonal matrix is provided, which is simple and easy to implement.

In a possible implementation, the formula

Convert to formula

According to the formula

The first corrected diagonal matrix A and the first corrected diagonal matrix B are determined.

In the embodiment of the present invention, another method for calculating a corrected diagonal matrix is provided. The method considers that the channel matrix contains noise, and the method can determine the corrected diagonal matrix more quickly.

In another aspect, the embodiment of the present invention provides a sender-side joint pre-processing apparatus, which can implement the functions performed in the foregoing method examples, and the functions can be implemented by hardware or by executing corresponding software by hardware. The hardware or software includes one or more modules corresponding to the above functions.

In one possible design, the apparatus includes a processor and a communication interface configured to support the apparatus to perform the corresponding functions of the above methods. The communication interface is used to support communication between the device and other network elements. The apparatus can also include a memory for coupling with the processor that retains the program instructions and data necessary for the apparatus.

In another aspect, the embodiment of the present invention provides a sending end device, where the sending end device can implement the functions performed by the sending end device in the foregoing method embodiment, where the function can be implemented by hardware or by hardware. Software Implementation. The hardware or software includes one or more modules corresponding to the above functions.

In a possible design, the structure of the transmitting device includes a processor and a communication interface, and the processor is configured to support the transmitting device to perform a corresponding function in the foregoing method. The communication interface is used to support communication between the sender device and other network elements. The source device can also include a memory for coupling with the processor that holds the program instructions and data necessary for the source device.

In another aspect, the embodiment of the present invention provides a receiving end device, where the receiving end device can implement the functions performed by the receiving end device in the foregoing method embodiment, where the function can be implemented by hardware or by hardware. Software Implementation. The hardware or software includes one or more modules corresponding to the above functions.

In a possible design, the structure of the receiving end device includes a processor and a communication interface, and the processor is configured to support the receiving end device to perform a corresponding function in the above method. The communication interface is used to support communication between the receiving device and other network elements. The receiving end device may further include a memory for coupling with the processor, which stores necessary program instructions of the receiving end device And data.

In a possible implementation manner, the foregoing sending end joint pre-processing apparatus may include the at least one transmitting end device, where the at least one transmitting end device and the at least one receiving end device form a MIMO system, and each of the transmitting end devices includes : a communication module and a processing module, the communication module comprising at least one transceiver.

In another aspect, an embodiment of the present invention provides a MIMO system, where the system includes the sender-side joint pre-processing apparatus described in the above aspect.

In still another aspect, an embodiment of the present invention provides a computer storage medium for storing computer software instructions for use in the above-mentioned sender-side joint pre-processing apparatus, which includes a program designed to execute the above aspects.

In still another aspect, an embodiment of the present invention provides a computer storage medium for storing computer software instructions for use by the transmitting device, including a program designed to perform the above aspects.

In still another aspect, an embodiment of the present invention provides a computer storage medium for storing computer software instructions for use by the receiving device, including a program designed to perform the above aspects.

Compared with the prior art, the solution provided by the embodiment of the present invention utilizes the characteristic that the corrected diagonal parameter does not change in a short time, and only acquires the channel matrix and the receiving direction of the sending direction of the transmitting end device in the first stage. The channel matrix, the channel symmetry is used to determine the corrected diagonal parameter between the channel matrices in the two directions, and in the second phase, only the channel matrix in the receiving direction of the transmitting device needs to be obtained without acquiring the channel matrix in the sending direction, based on the sending direction The channel matrix, the corrected diagonal parameter determined in the first stage, and the signal to be sent by the at least one transmitting end device are jointly pre-processed by the transmitting end, thereby saving the bandwidth occupation and canceling the interference better.

DRAWINGS

Figure 1 is a schematic diagram of an xDSL system model;

2 is a schematic diagram of a crosstalk model corresponding to the system model shown in FIG. 1;

3 is a schematic diagram of synchronous transmission of a DSLAM terminal;

4 is a schematic diagram of synchronous reception of a DSLAM terminal;

5 is a schematic diagram of uplink and downlink transmission paths in a WiFi scenario;

6 is a schematic diagram of a single-user MIMO system architecture diagram;

7 is a schematic diagram of a multi-user MIMO system architecture diagram;

8 is a schematic structural diagram of another multi-user MIMO system;

FIG. 9 is a schematic diagram of a communication method of a joint preprocessing method at a transmitting end according to an embodiment of the present invention;

FIG. 10 is a schematic diagram of another communication method of a joint pre-processing method according to an embodiment of the present invention;

FIG. 11 is a schematic structural diagram of a device of a transmitting end according to an embodiment of the present disclosure;

FIG. 12 is a schematic diagram of another possible structure of a sending end device according to an embodiment of the present disclosure;

FIG. 13 is a schematic structural diagram of a device at a receiving end according to an embodiment of the present disclosure;

FIG. 14 is a schematic diagram of another possible structure of a receiving end device according to an embodiment of the present disclosure;

FIG. 15 is a schematic structural diagram of a vectorized control entity according to an embodiment of the present disclosure;

FIG. 16 is a schematic diagram of another possible structure of a vectorization control entity according to an embodiment of the present disclosure;

FIG. 17 is a schematic structural diagram of a multi-user MIMO system according to an embodiment of the present invention.

detailed description

The technical solutions in the embodiments of the present invention will be described below in conjunction with the accompanying drawings in the embodiments of the present invention.

The embodiment of the present invention provides a method for the joint pre-processing of the sender, which is applicable to the MIMO system, and may be, but is not limited to, an xDSL scenario or a WiFi scenario. In an xDSL scenario, the analog front end is set up when the data link is initialized and does not change during the data transfer phase, so in general, the transceiver transfer function can be corrected once in one activation. In a WiFi scenario, especially in a home WiFi access scenario, the channel change between the two ends is slow, which causes the setting of the analog front end of the dual-ended transceiver to be stable to some extent for a certain period of time, so generally speaking, The same transfer function correction can also be used over a period of time.

The following takes the xDSL scenario as an example.

Figure 1 is a schematic diagram of the xDSL system model. xDSL (for example, ADSL2, VDSL2, G.fast, etc.) is a high-speed data transmission technology for telephone twisted pair transmission. In addition to DSL for baseband transmission such as IDSL and SHDSL, xDSL for passband transmission utilizes frequency division multiplexing technology. The xDSL and the traditional telephone service (Plain Old Telephone Service, POTS) coexist on the same pair of twisted pairs, wherein xDSL occupies a high frequency band, POTS occupies a baseband portion below 4 kHz, and the POTS signal and the xDSL signal are separated by a splitter. The xDSL for passband transmission uses Discrete Multi-Tone (DMT). A system that provides multiple xDSL access is called a Digital Subscriber Line Access Multiplexer (DSLAM).

2 is a schematic diagram of a crosstalk model corresponding to the system model shown in FIG. 1. Due to the principle of electromagnetic induction, the multiple signals connected by the DSLAM will interfere with each other, called crosstalk. Near End Crosstalk (NEXT) and Far End Crosstalk (FEXT) energy are enhanced as the frequency band increases. The xDSL uplink and downlink channels use frequency division multiplexing (such as VDSL2) or time division multiplexing (such as G.fast), and the near-end crosstalk does not cause much harm to the performance of the system. However, due to the wider and wider frequency bands used by xDSL, far-end crosstalk is increasingly affecting the transmission performance of the line. All distortion-free communication systems follow the well-known Shannon formula: C=B·log ₂ (1+S/N), where C is the channel capacity, B is the signal bandwidth, S is the signal energy, and N is the noise energy. In xDSL transmission, crosstalk is reflected as part of the noise; so severe far-end crosstalk significantly reduces the channel rate. When multiple users in a bundle of cables are required to open xDSL services, the far-end crosstalk may cause some line rates to be low, performance is unstable, or even impossible to open, which ultimately results in a lower outgoing rate of the DSLAM.

At present, the industry has proposed a Vectoring technology, which mainly utilizes the possibility of joint transmission and reception at the DSLAM end, and uses a signal processing method to cancel the interference of the far-end crosstalk. Finally, the interference of far-end crosstalk in each signal is eliminated. Figure 3 and Figure 4 show the operation of synchronous transmission and synchronous reception on the DSLAM side, respectively.

The shared channel H shown in Figures 3 and 4 can be represented in the form of a matrix on the kth subcarrier of the frequency domain:

Where h _ij is the transfer equation from line j to line pair i. In actual situations, M is the number of sending ports and receiving ports, and i and j are the serial numbers of the sending port and the receiving port, respectively. In general, the number of sending ports and receiving ports is equal, but they may not be equal.

Through the channel, the mathematical model of the received signal can be written as y=F(Hx+n).

Where x is the transmitted signal, n is the background noise, and H is the channel matrix.

It is a diagonal matrix. The diagonal element f _i in the matrix is called Frequency Equalization (FEQ) coefficient, Hx+n is the received signal, and y is the signal obtained after processing the received signal, which indicates the reception of each user. The terminal restores the signals received by each to the original transmission process.

In the downstream direction (Downstream, DS), xDSL (such as Vector, G.fast) uses precoding (Precoding) technology to pre-offset crosstalk. The pre-coded mathematical model can be written as

That is, the joint signal processing is performed by a vector precoder P at the transmitting end. In this case, the received signal is

When FHP is a diagonal matrix, crosstalk is eliminated.

Similar to the xDSL scenario, in a WiFi scenario, the transmitting device has multiple transmitting antennas, and the receiving device has multiple receiving antennas, so that a matrix MIMO channel is formed between the antennas. The theoretical capacity of the matrix channel is different depending on the specific components of the matrix channel.

FIG. 5 is a schematic diagram of uplink and downlink transmission paths in a WiFi scenario. In practice, the channel matrix in the DS direction and the Upstream (US) direction has a certain symmetry relationship and is corrected by the double-ended transceiver:

H _DS =H _US ^T

H ₁ =R _DS ·(R _US ^-1 ·H ₂ ·T _US ^-1 ) ^T ·T _DS

=(R _DS ·(T _US ^-1 ) ^T )·H ₂ ^T ·((R _US ^-1 ) ^T ·T _DS )

Where H is the channel matrix, DS is the downlink, US is the uplink, R is the diagonal matrix of the transmission function of the analog front end of the receiver, T is the diagonal matrix of the transmission function of the analog front end of the transmitter, and T is the matrix transpose of the upper corner. The upper corner-1 represents the inverse matrix.

The sender-side joint pre-processing method provided by the embodiment of the present invention may be based on a single-user MIMO (SU-MIMO) system architecture or a multi-user MIMO (MU-MIMO) system architecture.

6 is a schematic diagram of a single-user MIMO system architecture. For WiFi, the intermediate spatial MIMO channel is a wireless channel, and the signal sent by the transceiver of the transmitting device can be received by all transceivers of the receiving device through the spatial channel, and abstracted to form a spatial MIMO channel of k*k. . For DSL, the transceivers i corresponding to the transmitting end device and the receiving end device are connected by copper wires, and the transceivers that do not correspond to each other, such as i and j, form a channel by electromagnetic coupling, and the signal sent by the transmitter i passes through the electromagnetic Coupling can also receive signals at the receiving transceiver j, which is known in the industry as a far-end crosstalk (FEXT) channel, thereby abstracting a k*k MIMO channel. In an actual scenario, the number of transceivers at the transmitting end may not be equal to the number of transceivers at the receiving end, such as four transceivers at the transmitting end and two transceivers at the receiving end, forming a 4*2 MIMO channel. In the embodiment of the present invention, The sending end device and the receiving end device usually have a corresponding relationship, and one transmitting end device and its corresponding receiving end device are used to transmit signals for one user. For simplicity of description, the sender device can be simply referred to as a sender, and the receiver device can be simply referred to as a receiver.

7 is a schematic diagram of a multi-user MIMO system architecture diagram. Referring to FIG. 7, each user is not together at the user equipment end, and cannot perform collaborative processing. For example, each household has its own modem (Customer Premise Equipment, CPE) for Internet access. The downlink sending end or the uplink receiving end of all users of the network side equipment vendors can perform cooperative processing together. In this system, the user internally has a MIMO channel like the single-user MIMO system above, and there is also a MIMO channel between users, abstracting out to be a larger MIMO channel, but there are multiple users, and thus a multi-user MIMO system. The difference from the above-mentioned single-user MIMO is that the uplink cannot perform the joint processing of all the transceivers, and the downlink joint processing is also limited by the fact that the UE cannot perform the joint processing of all the transceivers. In actual scenarios, the number of transceivers of each sender device and receiver device may be different. The transceivers of some sender devices and receiver devices may be one. FIG. 8 is a schematic structural diagram of another multi-user MIMO system, where the multi-user MIMO system includes two users, wherein the user a-1 transmitting end includes two transceivers, and the user a-2 transmitting end includes one transceiver. .

The method for the joint pre-processing of the transmitting end is provided by the embodiment of the present invention. In the initialization of the DSL, the WiFi is in one frame, and the channel matrix in the sending direction and the channel matrix in the receiving direction are respectively acquired at one end, and the obtaining path may be based on channel information feedback, such as Error feedback, channel feedback. The frame for obtaining the channel matrix in the WiFi scenario may be used to send a message to the other end by using one end to send a message to the other end, where the message is specifically used to indicate that the frame is used to acquire channel information, or This frame will be used to acquire channel information and perform calculation of the correction matrix. In addition, in the DSL scenario, in addition to the channel matrix information that can be acquired in the initialization, the channel matrix information can be acquired or updated in the data transmission (Showtime) phase, and the correction matrix is calculated or updated after the acquisition.

Error feedback: The transmitting end sends a signal to x, and the receiving end obtains the received signal by channel equalization and demodulation. The difference between y and x generally includes channel equalization error, noise, etc., and the error feedback is feedback e=y-x.

Channel feedback: Generally speaking, the channel model can be written as y=F(H*x+n), and the receiving end can estimate H or FH. After the receiver receives the estimate, the estimated H or FH can be fed back to the message through the message. The transmitting end; further, the receiving end can do some matrix decomposition on H or FH, such as SVD decomposition, QR decomposition, etc., such as H=USV (SVD decomposition), H=QR (QR decomposition), and then divide A part of the obtained matrix is fed back to the transmitting end, such as V, Q, R, and the like.

In a single-user MIMO system, such as WiFi or single-user multi-pair xDSL, the dual-end can calculate the channel matrix of the receiving direction separately, and send the channel matrix of the receiving direction to the opposite end through the message interaction mechanism, so that both ends can Obtain the channel matrix of the transmission direction separately.

For MIMO systems, a model is y=Hx+n, where x, y, and n are vectors, there are k elements, and H is a matrix of k*k, that is, there are k transmitters at the transmitting end (sending x) Each component) has k receivers at the receiving end (receiving the components of y). In a single-user MIMO system, the k transmitters and k receivers belong to the same user, so the user can cooperate at the same time. The k transmission signals are processed, and k received signals are simultaneously co-processed.

In a multi-user MIMO system, such as WiFi or multi-user and some users are multi-pair xDSL, the downlink receiving end (CPE in xDSL, station in STA) can also calculate other user ports based on pilots. The MIMO matrix to the user port is fed back to the Vectoring Control Entity (VCE) to perform centralized processing on the channel, and the VCE is assembled into a complete downlink MIMO channel. In a multi-user MIMO system, the k transmitters mentioned above may belong to different users, and the k receivers also belong to different users. Of course, each user may have one or more transmitting and/or receiving devices. VCE is generally independent in DSL, but logically, the VCE logic module can also be placed in the physical sender or receiver.

In an xDSL system (such as Vector, G.fast), the VCE may calculate a downlink channel matrix based on downlink channel related information feedback, where the downlink channel related information may be an error sample or a vectoring frequency sample (Vectoring Frequency) Sample) and so on.

FIG. 9 is a schematic diagram of communication processing of a joint pre-processing method of a transmitting end according to an embodiment of the present invention. The method is based on the system architecture shown in FIG. 6 , and the method is applied to a single-user MIMO system including a transmitting end device and a receiving end device. The sender device includes a plurality of transceivers, the receiver device includes at least one transceiver, and the method includes:

Step 901, in the first phase, the transmitting device receives data from the receiving device.

The sender device may belong to the user side or belong to the network side.

Step 902: The transmitting end device determines, according to the data received in the first stage, the first channel matrix of the first stage of the receiving end device to the sending end device direction.

The first channel matrix is used to identify a channel situation of the receiving device of the entire MIMO system to the direction of the transmitting device, and the channel of the receiving device to the transmitting device of the entire MIMO system is at least one transceiver of the receiving device. The channel between multiple transceivers of the transmitting device.

Step 903: In the first stage, the sending end device sends data to the receiving end device.

Step 904: The receiving end device determines, according to the data received in the first stage, the second channel matrix of the first stage of the sending end device to the receiving end device direction.

The second channel matrix is used to identify a channel situation of a transmitting end device to a receiving end device of the entire MIMO system, and the channel of the transmitting end device to the receiving end device of the entire MIMO system is a plurality of transceivers of the transmitting end device. A channel between at least one transceiver of the receiving device.

Step 905: The sending end device receives, from the receiving end device, a second channel matrix of the first stage of the sending end device to the receiving end device direction.

Step 905 is only one possible implementation manner in which the transmitting end device determines the second channel matrix. In another example, the sending end device receives the channel information sent by the sending end device to the receiving end device, and determines the second channel matrix according to the channel information of the sending end device to the receiving end device.

Step 906: The transmitting device determines the corrected diagonal parameter between the first channel matrix and the second channel matrix by applying channel symmetry according to the first channel matrix and the second channel matrix.

Step 907, in the second phase, the transmitting device receives data from the receiving device.

Step 908: The sending end device determines, according to the data received in the second stage, the third channel matrix of the second stage of the receiving end device to the sending end device direction.

Among them, the first stage is before the second stage.

The third channel matrix is used to identify a channel situation of the receiving end device in the direction of the transmitting end device of the entire MIMO system, and the channel in the direction of the receiving end device to the transmitting end device of the entire MIMO system is at least one transceiver to the transmitting end of the receiving end device. The channel between multiple transceivers of the device.

Step 909: The transmitting device performs the joint pre-processing of the signal to be sent by the transmitting device according to the third channel matrix and the corrected diagonal parameter in the second stage.

Step 910: The transmitting device transmits the preprocessed data in the second phase.

When the sender joint pre-processing method is based on the system architecture shown in FIG. 7 or FIG. 8, the method is applied to a multi-user MIMO system including multiple sender devices and multiple receiver devices, each of which includes one Or multiple transceivers. The multiple sender devices may belong to the user side or belong to the network side. If the network device is in the same physical location, such as the same equipment room or the same cabinet, it is convenient for the multiple senders. The device performs joint pre-processing on the sender side. When the multiple sender devices belong to the network side, the network side may also deploy a vectorization control entity, and the execution body of the method is a vectorization control entity, where the vectorization control entity may It can be integrated independently with the above multiple transmitter devices.

FIG. 10 is a schematic diagram of another communication method of a joint pre-processing method according to an embodiment of the present invention. The method is based on the system architecture shown in FIG. 7 or FIG. 8 , and the method is applied to multiple sender devices and multiple receivers. A multi-user MIMO system of the device, each of the transmitting end devices includes at least one transceiver, and each of the receiving end devices includes at least one transceiver. This embodiment is described by taking a plurality of transmitting end devices belonging to the network side as an example, and the network side is also deployed. The foregoing vectorization control entity, the vectorization control entity may be an independent network device, or may be integrated with multiple sender devices, for example, the downlink cooperative transmission device shown in FIG. 7 or FIG. The vectorization control entity is an example of an independent network device, and the method includes:

Step 1001, in the first stage, the transmitting device receives data from a plurality of receiving devices.

The sending end device is any one of the plurality of sending end devices.

Step 1002: The sending end device determines, according to the data received in the first stage, the first channel matrix of the multiple receiving end devices in the first stage to the direction of the sending end device.

The first channel matrix is used to identify a channel situation of multiple receiving end devices in the direction of the transmitting end device of the entire MIMO system, and multiple receiving channels of the entire MIMO system to the transmitting device are multiple receiving. A channel between at least one transceiver of the end device to at least one transceiver of the source device.

Step 1003: The sending end device sends the first channel matrix to the vectorization control entity.

When the vectorization control entity is an independent network device, the sender device sends the first channel matrix to the vectorization control entity through the communication interface; when the vectorization control entity is integrated with multiple sender devices, the sender device passes The in-device interface sends the first channel matrix to the vectorization control entity.

Step 1004: In the first stage, the sending end device sends data to multiple receiving end devices.

The reason that the transmitting end device sends data to the receiving end device is equivalent to the sending end device sending data to the multiple receiving end devices.

Step 1005: The receiving end device determines, according to the data received by the multiple sending end devices in the first stage, the second channel matrix of the multiple sending end devices in the first stage to the receiving end device direction.

The second channel matrix is used to identify a channel situation of multiple sending end devices of the entire MIMO system to the receiving end device, and multiple channels of the sending end device of the entire MIMO system to the receiving end device are multiple transmissions. A channel between at least one transceiver of the end device to at least one transceiver of the sink device.

Step 1006: The receiving end device sends the second channel matrix of the first stage of the sending end device to the receiving end device direction to the vectorization control entity.

In one example, the receiving device directly transmits the second channel matrix to the vectoring control entity. In another example, the receiving end device first transmits the second channel matrix to the transmitting end device, and then the transmitting end device sends the second channel matrix to the vectoring control entity.

Step 1006 is only one possible implementation manner in which the transmitting end device determines the second channel matrix. In another example, the sending end device receives the channel information sent by the sending end device to the receiving end device, and determines the second channel matrix according to the channel information of the sending end device to the receiving end device.

Step 1007: The vectorization control entity performs assembling processing on the received first channel matrix sent by the plurality of sending end devices, and performs assembling processing on the received second channel matrix sent by the plurality of receiving end devices.

Step 1008: The vectorization control entity determines channel correction symmetry between the first channel matrix and the second channel matrix according to the assembled first channel matrix and the second channel matrix.

Step 1009: The vectorization control entity sends the corrected diagonal parameter to the sending end device.

Step 1010, in the second phase, the transmitting device receives data from the receiving device.

Step 1011: The sending end device determines, according to the data received in the second stage, the third channel matrix of the second stage of the receiving end device to the sending end device.

Among them, the first stage is before the second stage.

The third channel matrix is used to identify a channel situation of multiple receiving end devices of the entire MIMO system to multiple transmitting end devices, and multiple receiving channels of the entire MIMO system to multiple transmitting end devices are multiple receiving channels. A channel between at least one transceiver of the end device to at least one transceiver of the plurality of transmitting end devices.

In step 1012, the transmitting device performs joint pre-processing on the transmitting end of the signal to be sent by the transmitting device based on the third channel matrix and the corrected diagonal parameter in the second stage.

In step 1013, the transmitting device transmits the preprocessed data in the second phase.

In an example, the vectorization control entity determines, in the first stage, the first channel matrix according to the channel information of the plurality of receiving end devices to the plurality of sending end devices, and receives the plurality of receiving end devices that are sent by the plurality of receiving end devices. a fourth channel matrix from the transmitting end device to the part of the receiving end device, and using the channel symmetry according to the first channel matrix and the fourth channel matrix to obtain a second channel matrix of the plurality of receiving end devices to the plurality of transmitting end devices; or , vectorization control entity in the first stage Determining a first channel matrix according to channel information of a plurality of receiving end devices to a plurality of transmitting end devices, and receiving channel information of a plurality of transmitting end devices sent from a plurality of receiving end devices to a part of the receiving end devices Determining, according to channel information of a plurality of sending end devices to a part of the receiving end device, a fourth channel matrix of a plurality of transmitting end devices to a part of the receiving end device, and obtaining channel symmetry according to the first channel matrix and the fourth channel matrix A second channel matrix of the receiving device to multiple transmitting devices.

The process of determining the corrected diagonal parameter is described in detail below in step 906 or step 1008.

One end is based on the reception direction channel matrix H _RD (RD indicates the reception direction (Receiving Dirction)), and the transmission direction channel matrix H _TD (TD indicates the transmission direction (Transmitting Dirction)), and the corrected diagonal matrices A and B in two directions are calculated. .

among them,

Represents the transpose of the matrix H _RD . Due to the presence of metric noise, the above may be approximately equal to the relationship.

In digital communication systems, analog signals (voltage, current, intensity, etc.) are measured, similar to voltages and voltages, etc., when measured, numerical errors occur. The numerical error here can be called measurement noise; the transmission also has values. Errors, such as the voltage of 1v, the transmitter may not necessarily send out 1v, it may be 1.0001v, which will also cause numerical errors. All numerical errors are combined and reflected in the channel estimate to form a comprehensive measure noise, which is approximately equal to the relationship.

The process of applying the corrected diagonal parameter to step 909 or step 1012 will be described in detail below.

In the data transmission phase (Showtime) of xDSL, or after the above frame of WiFi, one end performs precoding and beamforming adjustment based on the corrected diagonal matrix A and B and the channel matrix updated in the receiving direction. At this stage, it is not necessary to obtain channel feedback information of the sending direction.

The transmitting end of the VCE or single-user MIMO system may update the corrected diagonal matrices A and B after a period of time. The update may be periodic or conditionally triggered, such as new lines in the DSL, users joining or entering low power consumption or exiting low power consumption, etc. Some antennas enter low power consumption or low power consumption in WiFi. Restore or enable or disable.

Calculating the corrected diagonal matrices A and B can be, but is not limited to, the following two methods.

Method 1 for calculating the corrected diagonal matrices A and B:

In general, H _RD and H _TD can be diagonally _blocked by synchronously swapping rows and columns (equivalent to left and right multiplication using the permutation matrix and its transpose). For each diagonal block, you can calculate it separately, for example, for the Kth diagonal block,

A _K | ₁₁ =1

Calculation

Then calculate

Then all the diagonal blocks are spliced together to get the complete correction matrix A and B.

Take the corrected diagonal matrix as a 3*3 matrix, for example, the receiving direction channel is

The transmission direction channel is

For example, because the electromagnetic coupling is too small, or the spatial channel is occluded, or other reasons, the receiving direction (the user end to the network side, the user side device to the network side device, the CPE to the DSLAM, the Station to the AP) sends the port 2 to the receiving port 1 The channel is very small (such as less than a threshold or empirical value) (due to the relationship between numerical measurement error and noise, in general, all channel matrix components have non-zero values), send port 3 to receive port 2 The channel is very small, and it can be approximated at this time.

h _{RD, 12} = 0

h _RD,23 =0

Since the electromagnetic coupling channel or the spatial channel has a certain approximation, in such a scenario, the receiving direction of the transmitting port 1 to the receiving port 2, the transmitting port 2 to the receiving port 3 may be small, that is,

h _RD,21 =0

h _RD,32 =0

At this point, the approximation can be considered

Channel symmetry measured in the transmission direction due to channel symmetry in the transmission direction and the reception direction Generally, the channel between

ports

1 and 2 and between ports 2 and 3 is also very small, which is approximately zero.

After the above approximation processing, the order of port 2 and port 3 can be further changed, and the following receiving direction and transmission direction block matrix are obtained:

Contains two partitions (2*2 in the upper left corner and 1*1 in the lower right corner)

Further, two partitions are processed separately.

For the first block, that is, the block of 2*2 in the upper left corner,

A ₁₁ =1

Calculation

For the second block, that is, the block of 1*1 in the lower right corner,

A ₂₂ =1

Calculation

Thereby two diagonal correction matrices A and B are obtained for correcting H _RD and H _TD .

In some scenarios, there may be no such case where the above-mentioned type can be split into multiple blocks, in which case the entire matrix will be processed as one matrix block.

Method 2 for calculating the corrected diagonal matrices A and B:

In general, the H _RD and H _{TD of the} metric contain noise, so it is difficult to obtain an accurate correlation in reality. In this case, the correction matrix A and B can be calculated by an optimized method.

It is also required that the correction matrices A and B are diagonal matrices, where ||X|| represents the matrix norm of X.

The problem can be written as

To solve

with

Calculate the above optimization problem, which can be solved by the existing optimization algorithm in the industry.

In addition, in the xDSL scenario, the initialization phase first obtains the channel matrix of all the line-to-data transmission phase (Showtime) lines in the downlink direction, and then obtains the channel matrix between all the lines in the uplink direction, so that all lines in the uplink direction can be utilized. The channel matrix, using symmetry, corrects the channel matrix of all the lines in the downlink direction to the initializing line, so that the process of acquiring the channel matrix between all the lines in the downlink direction can be skipped.

In vectorized xDSL (including Vector (ITU-T standard G.993.5), G.fast (ITU-T standard G.9701)), the initialization stage (Initialization) generally performs downlink vectorization coefficient (downstream vectoring coefficient, Precoder) Estimation and upstream vectoring coefficient (canceller) estimation. In the initialization process of some lines, there are generally lines in the xDSL scenario that are already in the data transmission phase (Showtime). Therefore, the initialization process of the vectorized xDSL generally includes the following stages.

First, the downlink vectorization coefficient of the initialization line to the Showtime line is estimated in one phase, which is used to cancel or reduce the interference (crosstalk, crosstalk, crosstalk) on the Showtime line when the initial line is initialized in the downstream direction of other signals or messages.

Here, since the initialization line is just initialized, the feedback channel has not been established yet, so the system can only obtain the feedback of the Showtime line, and thus can only obtain the downlink channel information between the initialization line and the Showtime line and Showtime, and cannot obtain the full channel information, such as Table 1 shows.

Table I

Referring to Table 1, the portion of the first line can be estimated by the Showtime line user side feedback information.

Secondly, after the above stage, another stage (not necessarily immediately) estimates the upstream vectorization coefficient between all lines including the initialization line and the Showtime line, used to cancel or reduce the initial direction of the initialization line. Other signals or messages interfere with the Showtime line and are subject to interference from all lines including the initialization line and the Showtime line.

Here, since it is uplink, the feedback information of all the lines can be jointly acquired on the network side, so the system can obtain the uplink channel information between all the lines, as shown in Table 2.

Table II

Referring to Table 2, all of the parts can be estimated by direct feedback on the network side through the Showtime line and the initialization line.

Again, after the second phase above, another phase (not necessarily next to the second phase) estimates the downlink vectorization coefficients of all the line-initiating lines, including the initialization line and the Showtime line, for offsetting or lowering The initialization line then initializes the interference to the Showtime line in the downstream direction of other signals or messages and the interference from all lines including the initialization line and the Showtime line.

After the initialization line can feedback information, the system can obtain downlink full channel information between all lines, as shown in Table 3.

Table 3

Referring to Table 3, all of the parts can be estimated by the user side feedback information through the data transmission (Showtime) line and the initialization line.

In the actual system, the third step is to perform information feedback through the initialization message during the initialization process, because the message transmission rate is limited in consideration of the robustness of the message in the initialization process. Therefore, it takes a lot of time to cause the initialization time to be long.

In the embodiment of the present invention, the downlink part channel and all the uplink channels are obtained first, and then all the downlink channels are estimated, so that the time for acquiring all the downlink channels can be saved, for example, the feedback information of all channels in the downlink is omitted, or the accuracy of obtaining the feedback information can be reduced. The amount of feedback information is reduced, that is, the channel information in Table 3 is estimated based on the channel information obtained in Tables 1 and 2. The calculation or estimation process will not be repeated here.

After the downlink full channel is calculated or estimated, the time for obtaining the feedback information may be saved, such as skipping, or reducing the accuracy of the feedback information in the third step to speed up the feedback progress and updating the estimated downlink full channel by using the feedback information.

In one embodiment, any one of the diagonal matrices A and B may be a multiple of a unit matrix or a unit matrix, or two of the diagonal matrices A and B may be a multiple of a unit matrix or a unit matrix. When storing the corrected diagonal matrices A, B, only diagonal elements may be stored, for example, may be stored and/or represented using a parameter set form, or a vector form, or an array form.

In one embodiment, the matrix measured by the uplink and downlink does not satisfy the equation.

But satisfy the equation

This can be seen as a symmetric relationship

among them

Indicates the conjugate transpose of H _RD ,

The conjugate of H _RD is expressed, and the corrected diagonal matrix A and the corrected diagonal matrix B can also be calculated according to the equation.

The foregoing describes the solution of the embodiment of the present invention mainly from the perspective of interaction between the network elements. It can be understood that each network element, such as a transmitting end device, a receiving end device, a vectoring control entity, etc., in order to implement the above functions, includes hardware structures and/or software modules corresponding to each function. Those skilled in the art will readily appreciate that the present invention can be implemented in a combination of hardware or hardware and computer software in combination with the elements and algorithm steps of the various examples described in the embodiments disclosed herein. Whether a function is implemented in hardware or computer software to drive hardware depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods for implementing the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present invention.

The embodiment of the present invention may perform the division of the function modules on the sending end device, the receiving end device, and the like according to the foregoing method example. For example, each functional module may be divided according to each function, or two or more functions may be integrated into one processing. In the module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of the module in the embodiment of the present invention is schematic, and only a logical function division is implemented. There can be another way of dividing.

In the case of employing an integrated module, FIG. 11 shows a possible structural diagram of the transmitting device in the above embodiment. The transmitting device 1100 includes a processing module 1102 and a communication module 1103. The processing module 1102 is configured to perform control management on the actions of the sender device. For example, the processing module 1102 is configured to support the sender device to perform the processes 902, 903, 906, and 908 to 910 in FIG. 9, the processes 1002 to 1004 in FIG. And 1011 to 1013, and/or other processes for the techniques described herein. The communication module 1103 is configured to support communication between the sender device and other network entities, such as communication with the sink device. The sender device may further include a storage module 1101 for storing program codes and data of the sender device.

The processing module 1102 can be a processor or a controller, for example, a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), and an application-specific integrated circuit (Application-Specific Integrated Circuit (ASIC), Field Programmable Gate Array (FPGA) or other programmable logic device, transistor logic device, hardware component, or any combination thereof. It is possible to implement or carry out the various illustrative logical blocks, modules and circuits described in connection with the present disclosure. The processor may also be a combination of computing functions, for example, including one or more microprocessor combinations, a combination of a DSP and a microprocessor, and the like. The communication module 1103 can be a communication interface, a transceiver, a transceiver circuit, etc., wherein the communication interface is a collective name and can include one or more interfaces. The storage module 1101 can be a memory.

When the processing module 1102 is a processor, the communication module 1103 is a transceiver, and the storage module 1101 is a memory, the transmitting end device according to the embodiment of the present invention may be the transmitting end device shown in FIG.

Referring to FIG. 12, the source device 1200 includes a processor 1202, a transceiver 1203, and a memory 1201. Optionally, the sender device 1200 may further include a bus 1204. The transceiver 1203, the processor 1202, and the memory 1201 may be connected to each other through a bus 1204. The bus 1204 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (abbreviated). EISA) bus and so on. The bus 1204 can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is shown in Figure 12, but it does not mean that there is only one bus or one type of bus.

In the case of employing an integrated module, FIG. 13 shows a possible structural diagram of the receiving end device involved in the above embodiment. The receiving end device 1300 includes: a processing module 1302 and a pass Letter module 1303. The processing module 1302 is configured to control and manage the actions of the receiving device. For example, the processing module 1302 is configured to support the receiving device to perform the processes 901, 904, 905, and 907 in FIG. 9, the processes 1001, 1005, and 1006 in FIG. And 1010, and/or other processes for the techniques described herein. The communication module 1303 is configured to support communication between the receiving device and other network entities, such as communication with the transmitting device. The receiving end device may further include a storage module 1301 for storing program codes and data of the receiving end device.

The processing module 1302 may be a processor or a controller, for example, may be a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), and an application specific integrated circuit (Application-Specific Integrated Circuit (ASIC), Field Programmable Gate Array (FPGA) or other programmable logic device, transistor logic device, hardware component, or any combination thereof. It is possible to implement or carry out the various illustrative logical blocks, modules and circuits described in connection with the present disclosure. The processor may also be a combination of computing functions, for example, including one or more microprocessor combinations, a combination of a DSP and a microprocessor, and the like. The communication module 1303 can be a communication interface, a transceiver, a transceiver circuit, etc., wherein the communication interface is a collective name and can include one or more interfaces. The storage module 1301 may be a memory.

When the processing module 1302 is a processor, the communication module 1303 is a transceiver, and the storage module 1301 is a memory, the receiving end device according to the embodiment of the present invention may be the receiving end device shown in FIG.

Referring to FIG. 14, the receiving device 1400 includes a processor 1402, a transceiver 1403, and a memory 1401. Optionally, the receiving end device 1400 may further include a bus 1404. The transceiver 1403, the processor 1402, and the memory 1401 may be connected to each other through a bus 1404. The bus 1404 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (Extended Industry Standard Architecture). Referred to as EISA) bus. The bus 1404 can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is shown in Figure 14, but it does not mean that there is only one bus or one type of bus.

In the case of employing an integrated module, FIG. 15 shows a possible structural diagram of the vectorization control entity involved in the above embodiment. The vectorization control entity 1500 includes a processing module 1502 and a communication module 1503. The processing module 1502 is configured to control manage the actions of the vectoring control entity, for example, the processing module 1502 is configured to support the vectoring control entity to perform the processes 1007 through 1009 in FIG. 10, and/or other techniques for the techniques described herein. process. The communication module 1503 is used to support the vector Quantify the communication between the control entity and other network entities, such as communication with the source device or the sink device. The vectorization control entity may also include a storage module 1501 for storing program code and data of the vectorization control entity.

The processing module 1502 may be a processor or a controller, for example, may be a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), and an application specific integrated circuit (Application-Specific Integrated Circuit (ASIC), Field Programmable Gate Array (FPGA) or other programmable logic device, transistor logic device, hardware component, or any combination thereof. It is possible to implement or carry out the various illustrative logical blocks, modules and circuits described in connection with the present disclosure. The processor may also be a combination of computing functions, for example, including one or more microprocessor combinations, a combination of a DSP and a microprocessor, and the like. The communication module 1503 may be a communication interface, a transceiver, a transceiver circuit, etc., wherein the communication interface is a collective name and may include one or more interfaces. The storage module 1501 may be a memory.

When the processing module 1502 is a processor, the communication module 1503 is a communication interface, and the storage module 1501 is a memory, the vectorization control entity involved in the embodiment of the present invention may be the vectorization control entity shown in FIG.

Referring to FIG. 16, the vectoring control entity 1600 includes a processor 1602, a communication interface 1603, and a memory 1601. Alternatively, the vectorization control entity 1600 can also include a bus 1604. The communication interface 1603, the processor 1602, and the memory 1601 may be connected to each other through a bus 1604. The bus 1604 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (abbreviated). EISA) bus and so on. The bus 1604 can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is shown in Figure 16, but it does not mean that there is only one bus or one type of bus.

FIG. 17 is a schematic structural diagram of a multi-user MIMO system according to an embodiment of the present invention, where the system includes multiple sending end devices, multiple receiving end devices, and a vectoring control entity, and the system is used to perform the embodiments of the present invention. The sender is combined with the preprocessing method.

The steps of a method or algorithm described in connection with the present disclosure may be implemented in a hardware, or may be implemented by a processor executing software instructions. The software instructions can be composed of corresponding software modules, which can be stored in random access memory (RAM), flash memory, read only memory (ROM), erasable. Erasable Programmable ROM (EPROM), Electrically Erasable Programmable Read Only Memory (EEPROM), Register, Hard Disk, Mobile Hard Disk, CD-ROM, or any other form well known in the art. In the storage medium. An exemplary storage medium is coupled to the processor to enable the processor to read information from, and write information to, the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and the storage medium can be located in an ASIC. Additionally, the ASIC can be located in a core network interface device. Of course, the processor and the storage medium may also exist as discrete components in the core network interface device.

Those skilled in the art will appreciate that in one or more examples described above, the functions described herein can be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored in a computer readable medium or transmitted as one or more instructions or code on a computer readable medium. Computer readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one location to another. A storage medium may be any available media that can be accessed by a general purpose or special purpose computer.

The specific embodiments of the present invention have been described in detail with reference to the preferred embodiments of the present invention. The scope of the protection, any modifications, equivalent substitutions, improvements, etc., which are made on the basis of the technical solutions of the present invention, are included in the scope of the present invention.

Claims

A sender-side joint pre-processing method, characterized in that the method is applied to a multiple-input multiple-output MIMO system including at least one transmitting device and at least one receiving device, each of the transmitting devices including at least one transceiver , the method includes:

Obtaining, by the first stage, the first channel matrix of the at least one receiving end device in the direction of the at least one transmitting end device and the second channel matrix of the at least one transmitting end device to the at least one receiving end device direction;

Determining, by the channel symmetry, a corrected diagonal parameter between the first channel matrix and the second channel matrix according to the first channel matrix and the second channel matrix;

Acquiring a third channel matrix of the second stage of the at least one receiving end device to the at least one transmitting end device direction, wherein the first phase is before the second phase;

And performing, according to the third channel matrix, the corrected diagonal parameter, the signal to be sent by the at least one transmitting end device to perform joint pre-processing on the transmitting end.
The method according to claim 1, wherein the acquiring the first channel matrix of the at least one receiving end device of the first stage to the at least one transmitting end device direction comprises:

In the first stage, the first channel matrix is determined according to channel information of the at least one receiving end device to the at least one transmitting end device direction.
The method according to claim 1 or 2, wherein the acquiring the second channel matrix of the at least one transmitting end device of the first stage to the at least one receiving end device direction comprises:

Receiving, in a first phase, a second channel matrix of the at least one transmitting end device sent by the at least one receiving end device to the at least one receiving end device direction; or

Receiving channel information of the at least one transmitting end device to the at least one receiving end device sent by the at least one receiving end device, according to the at least one transmitting end device to the at least one receiving end device The channel information of the direction determines the second channel matrix.
The method according to claim 1 or 2, wherein the acquiring the second channel matrix of the at least one transmitting end device of the first stage to the at least one receiving end device direction comprises:

Receiving, in the first stage, a fourth channel matrix of the at least one transmitting end device sent by the part of the receiving end devices in the at least one receiving end device to the part of the receiving end device, according to the The first channel matrix and the fourth channel matrix obtain channel symmetry to obtain a second channel matrix of the at least one transmitting end device to the at least one receiving end device direction; or

Receiving channel information of the at least one transmitting end device sent by the part of the receiving end device to the part of the receiving end device in the first stage, according to the at least one transmitting end device to the part Channel information in the direction of the receiving device determines a fourth channel matrix of the at least one transmitting device to the portion of the receiving device, and obtains the channel symmetry according to the first channel matrix and the fourth channel matrix a second channel matrix of at least one transmitting end device to the at least one receiving end device direction.
The method according to any one of claims 1 to 4, wherein the determining the first channel matrix and the applying the channel symmetry according to the first channel matrix and the second channel matrix Corrected diagonal parameters between the second channel matrices, including:

According to the formula
or
Determining a first corrected diagonal matrix A and a first corrected diagonal matrix B;

Wherein, H RD is a first channel matrix, and H TD is a second channel matrix,
Represents the transpose of the matrix H RD ,
Indicates the conjugate transpose of H RD .
The method of claim 5 wherein said according to the formula
Determining the first corrected diagonal matrix A and the first corrected diagonal matrix B, including:

H RD and H TD are diagonally blocked by synchronously changing rows and columns, and each diagonal block is separately calculated, and all diagonal blocks are spliced together to obtain a complete first corrected diagonal matrix A and first correction. Diagonal matrix B.
The method of claim 5 wherein said according to the formula
Determining the first corrected diagonal matrix A and the first corrected diagonal matrix B, including:

Formula
Convert to formula
According to the formula
The first corrected diagonal matrix A and the first corrected diagonal matrix B are determined.
A sender-side joint pre-processing apparatus, characterized in that the apparatus comprises at least one sender device, the at least one sender device and at least one receiver device comprise a multiple input multiple output MIMO system, each of the transmitting ends The device includes: a communication module and a processing module, the communication module including at least one transceiver;

The processing module is configured to acquire, by the communication module, a first channel matrix of the at least one receiving end device of the first stage to the at least one transmitting end device direction, and the at least one transmitting end device to the at least a second channel matrix in the direction of the receiving device; according to the first letter a channel matrix and the second channel matrix, applying channel symmetry to determine a corrected diagonal parameter between the first channel matrix and the second channel matrix; and acquiring, by the communication module, the second phase a third channel matrix of at least one receiving end device to the at least one transmitting end device direction, wherein the first phase is before the second phase; and in the second phase is based on the third channel matrix The correcting diagonal parameter is performed, and the signal to be sent by the at least one transmitting end device is jointly preprocessed by the transmitting end.
The apparatus according to claim 8, wherein the processing module is specifically configured to: according to the direction of the at least one receiving end device acquired by the communication module to the at least one transmitting end device in a first stage The channel information determines a first channel matrix.
The device according to claim 8 or 9, wherein the processing module is configured to receive, by the communication module, the at least one transmitting device sent by the at least one receiving device in a first stage to The at least one second channel matrix of the direction of the receiving device; or, in the first stage, receiving, by the communication module, the at least one transmitting device that is sent by the at least one receiving device to the at least one receiving device Channel information of the direction, determining the second channel matrix according to channel information of the direction of the at least one sending end device to the at least one receiving end device.
The device according to claim 8 or 9, wherein the processing module is configured to receive, by the communication module, the at least one of the at least one receiving device sent by the receiving device in the first stage. a fourth channel matrix of a transmitting end device to the part of the receiving end device, and obtaining, by using the channel symmetry, the at least one transmitting end device to the at least one receiving according to the first channel matrix and the fourth channel matrix a second channel matrix in the direction of the end device; or, in the first stage, receiving, by the communication module, the direction of the at least one transmitting device sent by the part of the receiving device in the at least one receiving device to the receiving device Channel information, determining, according to the channel information of the at least one transmitting end device to the part of the receiving end device, a fourth channel matrix of the at least one transmitting end device to the part of the receiving end device, according to the first a channel matrix, the fourth channel matrix, using channel symmetry to obtain the at least one transmitting device to the Receiving at least one machine direction end of the second channel matrix.
The apparatus according to any one of claims 8 to 11, wherein the processing module is specifically configured according to a formula
or
Determining a first corrected diagonal matrix A and a first corrected diagonal matrix B; wherein H RD is a first channel matrix and H TD is a second channel matrix,
Represents the transpose of the matrix H RD ,
Indicates the conjugate transpose of H RD .
The apparatus according to claim 12, wherein the processing module is specifically configured to diagonally block the H RD and the H TD by synchronously changing rows and columns, and respectively calculate each diagonal block, All diagonal blocks are spliced together to obtain a complete first corrected diagonal matrix A and a first corrected diagonal matrix B.
The apparatus according to claim 12, wherein said processing module is specifically configured to use a formula
Convert to formula
According to the formula
The first corrected diagonal matrix A and the first corrected diagonal matrix B are determined.
A multiple input multiple output MIMO system, characterized in that the system comprises at least one transmitting end device and at least one receiving end device, each of the transmitting end devices comprising at least one transceiver, and the at least one transmitting end device comprises A transmitter-side joint pre-processing apparatus according to any one of claims 8 to 14.
The system according to claim 15, wherein said system further comprises a vectoring control entity, said vectoring control entity and said at least one transmitting device comprising said one of claims 8 to 14. The sender is combined with the pre-processing device.