JP2013187913A - Precoding method based on interference alignment, transmitter, and device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a MIMO precoding method based on interference alignment, and a transmitter.SOLUTION: A precoding method based on interference alignment comprises the steps of: calculating an interference alignment decoding matrix on the basis of downlink channel direction information from each transmitter to a related terminal; calculating multi-cell system-related equivalent channel direction information on the basis of the interference alignment decoding matrix and downlink channel direction information; calculating multi-cell system-related downlink equivalent channel quality information on the basis of the interference alignment decoding matrix and downlink channel quality information; calculating a multi-cell coordinated precoding matrix on the basis of downlink equivalent channel direction information and downlink equivalent channel quality information; and performing precoding on user data by the multi-cell coordinated precoding matrix.

Description

  The present invention relates to multi-cell coordinated communications in a wireless communication system, and more specifically, a MIMO (multi-input / multi-output) precoding method in multi-cell cooperative communication based on interference alignment (Interference Alignment). And the transmitter.

  In a wireless mobile cellular network, when neighboring cells operate on the same frequency range, users at the cell boundary will receive intense interference from neighboring cells. Such interference is usually referred to as co-frequency interference. Such co-frequency interference between cells greatly affects the communication quality of users at cell boundaries, such as transmission rate and transmission reliability.

  For example, in a traditional technology such as a GSM (registered trademark) cellular network, a frequency division multiplexing scheme is used, that is, transmission is performed using different subbands in adjacent cells. Although this measure can effectively avoid inter-cell interference, it will reduce the number of useful signal transmission resources and thereby reduce the spectrum utilization efficiency. For example, in a modern network such as a long-term evolution (LTE) network, each cell in the entire network or a part of the network is operated in the same frequency band, and communication is performed by suppressing interference through a high-level inter-cell co-frequency interference management method. There is a tendency to improve quality.

  In the latest research, interference alignment methods have been proposed. Using such a method not only effectively suppresses interference between cells, but also reserves many resources for transmission of useful signals. If the advantages of both sides are combined, more effective wireless transmission can be acquired by the interference alignment method. The basic idea of interference alignment is to divide the signal space into the desired signal subspace and the interference signal subspace, and then assign all the interference signals to the interference subspace, thereby more effectively suppressing inter-cell interference. It is to be.

  Non-Patent Document 1 (C. Suh et.al., “Downlink Interference Alignment” GlobeCOM 2010) and Non-Patent Document 2 (W. Shin et. Al. “On the Design of Interference Alignment Scheme for Two-Cell MIMO Interfering Broadcast Channels” "IEEE Trans. On Wireless Comm. 2011), a two-cell multi-user linear precoding decoding algorithm based on two types of interference alignment is proposed. However, the method cannot be extended to general purpose multi-cell systems. Another type of solution uses an iterative algorithm to calculate a precoding matrix (or vector) and a decoding matrix (or vector). The prior art methods as described above are highly complex and require a large amount of information interaction between cells. Also, this type of method has limited flexibility when applied in a system.

  In view of one or more problems in the prior art, it is an object of the present invention to provide a MIMO (Multiple Input Multiple Output) precoding method and transmitter based on interference alignment.

  According to one embodiment, a precoding method based on interference alignment is provided. In the method, a step of calculating an interference alignment decoding matrix based on channel direction information (CDI) of downlink channels from each transmitter to all related terminals, and an interference alignment decoding matrix and channel direction information of downlink channels And calculating channel direction information of downlink equivalent channels related to multi-cell systems, and calculating channel quality information of downlink equivalent channels related to multi-cell systems based on interference alignment decoding matrix and channel quality information of downlink channels A step of calculating a multi-cell cooperative precoding matrix based on channel direction information of the downlink equivalent channel and channel quality information of the downlink equivalent channel, and precoding of user data using the multi-cell cooperative precoding matrix. And performing a step.

  According to another embodiment, a multi-cell cooperative precoding method based on an interference alignment decoding matrix is provided. In the method, based on the interference alignment decoding matrix and the channel direction information of the downlink channel, calculating channel direction information of the downlink equivalent channel related to the multi-cell system, on the basis of the interference alignment decoding matrix and the channel quality information of the downlink channel Calculating the channel quality information of the downlink equivalent channel related to the multi-cell system, calculating the multi-cell cooperative precoding matrix based on the channel direction information and the channel quality information of the downlink equivalent channel, and the multi-cell cooperative precoding matrix And precoding user data.

  According to another embodiment, a method for calculating an interference alignment decoding matrix is provided. In the method, a step of acquiring downlink channel direction information from the cooperative cell transmitter to each terminal from the cooperative cell transmitter, and calculating an interference alignment decoding matrix based on the downlink channel direction information And a step of notifying each transmitter of an interference alignment decoding matrix calculation result through connection with each transmitter.

  According to yet another embodiment, a transmitter is provided. The transmitter includes an interference alignment precoding decoding matrix calculating unit that calculates an interference alignment decoding matrix based on channel direction information of downlink channels from each transmitter to all related terminals, an interference alignment decoding matrix, and channel directions of downlink channels Based on the information, calculate the channel direction information of the downlink equivalent channel related to the multi-cell system, calculate the channel quality information of the downlink equivalent channel related to the multi-cell system based on the interference alignment decoding matrix and the channel quality information of the downlink channel, Based on the channel direction information of the downlink equivalent channel and the channel quality information of the downlink equivalent channel, a multi-cell cooperative coding matrix calculation unit for calculating a multi-cell cooperative precoding matrix, and a user data in the multi-cell cooperative precoding matrix. And a precoding unit for precoding data.

  According to another embodiment, a transmitter is provided. The transmitter calculates channel direction information of the downlink equivalent channel related to the multi-cell system based on the interference alignment decoding matrix and the channel direction information of the downlink channel, and based on the interference alignment decoding matrix and the channel quality information of the downlink channel, Multi-cell cooperative precoding matrix calculation unit for calculating channel quality information of downlink equivalent channel related to multi-cell system and calculating multi-cell cooperative precoding matrix based on channel direction information and channel quality information of downlink equivalent channel; And a precoding unit for precoding user data with a precoding matrix.

  According to yet another embodiment, a device for calculating an interference alignment precoding decoding matrix is provided. The device calculates a channel alignment information of a downlink channel from the transmitter of the coordinated cell to each terminal from the transmitter of the coordinated cell, and an interference alignment decoding matrix based on the channel direction information of the downlink channel And a device for notifying each transmitter of interference alignment decoding matrix calculation results via connection with each transmitter.

  According to the above embodiment, multi-cell coordination and coding calculation can be divided into two relatively independent processes, and different methods can be adopted in each process.

  Also, based on this design, a large amount of implementation strategies can be obtained. Each type of strategy has different performance and complexity and can be applied to different communication environments.

Fig. 2 shows an application scene of a method according to an embodiment of the present invention. 2 is a diagram related to a transmitter and a mobile terminal for describing precoding and decoding methods. 1 illustrates a communication system according to one embodiment of the present invention. 2 shows a communication system according to another embodiment of the present invention. FIG. 3 is a structural diagram of a transmitter according to an embodiment of the present invention. Fig. 4 illustrates an interference alignment precoding decoding matrix calculation unit according to an embodiment of the present invention. 6 shows an operation flow of the interference alignment precoding decoding matrix calculation unit shown in FIG. FIG. 6 is a structural diagram illustrating a transmitter according to another embodiment of the present invention.

  The above features and advantages of the present invention will become more apparent from the detailed description with reference to the following drawings. Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the drawings. In the drawings, the same drawing symbol indicates the same or similar configuration in different drawings. For clarity and simplicity, detailed descriptions of known functions and structures contained herein are omitted to avoid obscuring the subject matter of the present invention.

  FIG. 1 shows an application of a method and system according to an embodiment of the present invention. As shown in FIG. 1, adjacent multi-cell transmitters operate within the same frequency range and connect to each other (connections shown by broken lines in FIG. 1), thereby enabling limited information interactive. Such information interactive is limited to system state information or control information and does not include user data. That is, data transmitted to the user exists only in the transmitter of the cell where the user is located. As known to those skilled in the art, the cell corresponding to the transmitter may be the coverage area of a single base station or the sector corresponding to the transmitter with the base station. .

  Each transmitter shown in FIG. 1 provides service to one or more users in the cell simultaneously. 3A and 3B show two specific implementation system examples, respectively.

  In the example of FIG. 3A, three adjacent cells are included, each cell has one dual antenna transmitter, and each cell provides service to one dual antenna mobile terminal.

  In the example of FIG. 3B, three adjacent cells are included, each cell has one triple antenna transmitter, and cell 1 provides services to two dual antenna mobile terminals. Cell 2 and cell 3 each provide service to one dual-antenna mobile terminal.

  FIG. 2 is a diagram related to a transmitter and a mobile terminal for describing a precoding method. As shown in FIG. 2, on the transmission side 20, the data of user 1 and the data of user 2 are each mapped to a transmission antenna via a weighted sum. A matrix (or vector) composed of transmission side weighting coefficients is called a precoding matrix (or vector). On the receiving side 30, for example, in the case of the user k, the signals received by the respective antennas are used for obtaining useful signals through a weighted sum. A matrix (or vector) composed of receiving side weighting coefficients is called a decoding matrix (or vector).

  According to an embodiment of the present invention, a multi-cell cooperative communication system can obtain high spectrum utilization efficiency by optimizing a precoding matrix (or vector) and a decoding matrix (or vector), so that a user can transmit high-quality data. To be able to

ただし、

：送信機ｉとセルｉの中のユーザｋとの間の下りチャネル行列；

：送信機ｊとセルｉの中のユーザｋとの間の下りチャネル；

：セルｉの中のユーザｋに送信するデータ信号；

：セルｉの中のユーザｌに送信するデータ信号；

：セルｊの中のユーザｌに送信するデータ信号；

：セルｉの中のユーザｌの受信側で復元した有用信号；

：セルｉの中のユーザｌに対してプリコーディングを行うプリコーディング行列；

：セルｉの中のユーザｋに対してプリコーディングを行うプリコーディング行列；

：セルｊの中のユーザｌに対してプリコーディングを行うプリコーディング行列；

：セルｉの中のユーザｋのデータを復号するための復号行列；

：セルｉの中のユーザｋが受信したノイズ（非協調セルからの干渉を含む）。 The input / output relationship of a multi-cell multi-user downlink MIMO system using linear precoding decoding can be expressed by the following equation.

However,

A downlink channel matrix between the transmitter i and the user k in the cell i;

: Downlink channel between transmitter j and user k in cell i;

: A data signal to be transmitted to user k in cell i;

: A data signal to be transmitted to user l in cell i;

: A data signal to be transmitted to user l in cell j;

A useful signal restored at the receiving side of user l in cell i;

: A precoding matrix for precoding user l in cell i;

: A precoding matrix for precoding user k in cell i;

: Precoding matrix for precoding user l in cell j;

A decoding matrix for decoding the data of user k in cell i;

: Noise received by user k in cell i (including interference from uncoordinated cells).

Hereinafter, a calculation process of multi-cell multi-user system downlink precoding and predecoding in an embodiment of the present invention will be described. In order to simply describe the calculation process, in the following mathematical symbols, the upper subscript DL is no longer shown as an up-related variable. _{That, G i} in equation (1) in _{G i, ^k,} indicates the _{^{k DL, H j, i,}} k in indicates _{H ^j, i,} ^{k DL} in equation _{(1), P i, k} ^Represents P _{i, k} ^DL in equation (1), and is analogized in this way.

  FIG. 4 is a structural diagram of a transmitter in a communication system according to an embodiment of the present invention.

  The transmitter 40 shown in FIG. 4 includes a channel information acquisition unit 41, a multi-cell cooperative precoding matrix calculation unit 42, a precoding unit 43, and an interference alignment precoding matrix calculation trigger unit 44. In the case of a TDD (Time Division Duplex) system, the channel information acquisition unit 41 shown in FIG. 4 performs channel estimation using the received uplink detection signal, and the uplink channel information of the terminal within the cell range of the transmitter 40 And the uplink channel information from the transmitter 40 to the terminal in the cooperative cell range, and the downlink channel information and transmission of the terminal in the cell range of the corresponding transmitter 40 using the uplink and downlink channel reciprocity of the TDD system The downlink channel information from the device 40 to the terminal within the cooperative cell range is acquired. On the other hand, in the case of an FDD (Frequency Division Duplex) system, the channel information acquisition unit 41 receives the information fed back from the terminal, thereby receiving the downlink channel information of the terminal within the cell range of the transmitter 40 and the transmitter 40. To the downlink channel information to the terminal in the cooperative cell range.

  The channel information acquisition unit 41 acquires downlink channel direction information through downlink channel information. The channel information acquisition unit 41 can also acquire channel quality information of the downlink channel through the feedback channel.

  The interference alignment precoding matrix calculation trigger unit 44 determines whether it is necessary to perform interference alignment calculation based on the channel direction information and the channel quality information. If it is determined that the interference alignment calculation needs to be performed, the channel direction information is transmitted to the interference alignment precoding matrix calculation device. If there is no need to perform interference alignment calculations, this information need not be transmitted.

The multi-cell cooperative precoding matrix calculation unit 42 calculates a multi-cell cooperative precoding matrix based on the channel direction information and the channel quality information. An example of calculating the multi-cell cooperative precoding matrix is described as follows.
When the interference alignment precoding calculation is triggered, the equivalent channel direction information is calculated based on the interference alignment decoding matrix and the channel direction information. If the interference alignment precoding calculation is not triggered, the equivalent channel direction information is equal to the channel direction information.
When the interference alignment precoding calculation is triggered, the equivalent channel quality information is calculated based on the interference alignment decoding matrix and the channel quality information. If the interference alignment precoding calculation is not triggered, the equivalent channel quality information is equal to the channel quality information.
Calculate a multi-cell cooperative precoding matrix based on equivalent channel direction information and equivalent channel quality information. The calculation of the multi-cell cooperative precoding matrix is performed based on minimized interference, such as a zero forcing criterion, or based on a maximized signal-to-leakage plus noise ratio (SLNR) criterion.

  The precoding unit 43 performs precoding of user data using a multi-cell cooperative precoding matrix.

  FIG. 5 shows an interference alignment precoding decoding calculation apparatus in a communication system according to an embodiment of the present invention. The unit may be independent from each transmitter as a device, or may be located within a transmitter. The apparatus includes an interference alignment precoding decoding matrix calculation unit 50 that receives channel direction information transmitted from a transmitter and calculates an interference alignment precoding matrix and / or an interference alignment decoding matrix (or vector) through an interference alignment criterion. Including. The calculated interference alignment precoding decoding matrix (or vector) is transmitted to each transmitter 40 via a connection between the transmitters. For the interference alignment precoding matrix and the interference alignment decoding matrix (or vector), an analysis algorithm or an iterative algorithm may be used. The specific implementation depends on the actual system settings.

  Hereinafter, the operation process of the interference alignment precoding decoding matrix calculation unit 50 will be described in more detail. For general system settings, the interference alignment precoding decoding computation uses an iterative algorithm. A description of the iterative algorithm is shown in FIG.

  In step S61, a precoding matrix is initialized. The precoding matrix is, for example, a matrix having a predetermined value. For example, a unit matrix or a randomly generated matrix. Then, the input variables that repeat each time are the precoding matrix and the decoding matrix obtained by the previous iteration. The non-variable is the channel matrix, and the output variables that repeat each time are the new precoding matrix and decoding matrix.

  In step S62, a new decoding matrix is calculated using the channel matrix and the obtained precoding matrix. For example, the precoding matrix is fixed, and the predecoding matrix is calculated based on the minimized interference criterion. A specific calculation method is shown as follows.

ただし、
Ｈ_{ｊ，ｉ，ｋ}：送信機ｊからセルｉの中のユーザｋへの下りチャネル；
Ｈ_{ｉ，ｉ，ｋ}：送信機ｉからセルｉの中のユーザｋへの下りチャネル；
Ｐ_ｊ，ｕ：ステップ６１において計算して得たセルｊの中のユーザｕのプリコーディング行列；
Ｐ_ｉ，ｖ：ステップ６１において計算して得たセルｉの中のユーザｖのプリコーディング行列；
Ｊ：協調セルの総数
Ｋ_ｊ：セルｊの中のサービス端末の数；
Ｋ_ｉ：セルｉの中のサービス端末の数；
α：調整パラメータ；
Ｉ：単位対角行列；
上の添え字の^H：行列に対する共役転置操作。
そのうち、調整パラメータαの値は、システムの具体的なパラメータに基づいて決まり、０であってもよい。 Equation (2) is calculated.

However,
H _{j, i, k} : downlink channel from transmitter j to user k in cell i;
H _{i, i, k} : Downlink channel from transmitter i to user k in cell i;
P _{j, u} : Precoding matrix of user u in cell j obtained in step 61;
P _{i, v} : Precoding matrix of user v in cell i calculated in step 61;
J: total number of cooperative cells K _j : number of service terminals in cell j;
K _i : number of service terminals in cell i;
α: adjustment parameter;
I: unit diagonal matrix;
Upper subscript ^H : conjugate transpose operation on a matrix.
Among them, the value of the adjustment parameter α is determined based on specific parameters of the system and may be zero.

ただし、ユニタリー行列Ｕの列ベクトルは、左特異ベクトルを構成し、ユニタリー行列Ｖの列ベクトルは、右特異ベクトルを構成し、対角行列Ｓの対角線元素は、特異値であり、上の添え字である^Ｈは、行列に対する共役転置操作を代表する。 Singular value decomposition is performed on the matrix _{Di, k} . That is,

However, the column vector of the unitary matrix U constitutes the left singular vector, the column vector of the unitary matrix V constitutes the right singular vector, the diagonal element of the diagonal matrix S is a singular value, and the above subscript ^H , which represents a conjugate transpose operation on a matrix.

  A column of the number of data streams to be transmitted to the terminal is selected from the unitary matrix V to form a precoding matrix. However, the selected column should be a singular vector corresponding to the smallest singular value.

Hereinafter, an example will be described. If _{Di, k} is a 3 × 3 matrix, Equation (3) can be written in the following form:

を満足する。端末にツーパスのデータストリームを送信すると仮定すると、プリコーディング行列は、下記式（５）となる。

そのうち、右特徴ベクトルｖ_２とｖ_３は、最小の二つの特徴値ｓ_２とｓ_３に対応する。 Among them, the singular value is

Satisfied. Assuming that a two-pass data stream is transmitted to the terminal, the precoding matrix is expressed by the following equation (5).

Among them, the right feature vectors v ₂ and v ₃ correspond to the minimum two feature values s ₂ and s ₃ .

  In step 63, a new precoding matrix is calculated using the channel matrix and the decoding matrix obtained in step S62. For example, the precoding matrix is fixed, and the precoding matrix is calculated based on the minimized interference criterion. A specific calculation method is described as follows.

ただし、
Ｈ_{ｉ，ｊ，ｕ}：送信機ｉからセルｊの中のユーザｕへの下りチャネル；
Ｇ_ｊ，ｕ：ステップ６２において得たセルｊの中のユーザｕの復号行列；
Ｈ_{ｉ，ｉ，ｖ}：送信機iからセルiの中のユーザｖへの下りチャネル；
Ｇ_ｊ，ｖ：ステップ６２において得たセルｊの中のユーザｖの復号行列；
Ｊ：協調セルの総数
Ｋ_ｊ：セルｊの中のサービス端末の数；
Ｋ_ｉ：セルｉの中のサービス端末の数；
α：調整パラメータ；
Ｉ：単位対角行列；
上の添え字の^Ｈ：行列に対する共役転置操作。
そのうち、調整パラメータαの値は、システムの具体的なパラメータに基づいて決まり、０であってもよい。 The following equation (6) is calculated.

However,
H _{i, j, u} : Downlink channel from transmitter i to user u in cell j;
G _{j, u} : decoding matrix of user u in cell j obtained in step 62;
H _{i, i, v} : Downlink channel from transmitter i to user v in cell i;
G _{j, v} : decoding matrix of user v in cell j obtained in step 62;
J: total number of cooperative cells K _j : number of service terminals in cell j;
K _i : number of service terminals in cell i;
α: adjustment parameter;
I: unit diagonal matrix;
Upper subscript ^H : conjugate transpose operation on a matrix.
Among them, the value of the adjustment parameter α is determined based on specific parameters of the system and may be zero.

ただし、ユニタリー行列Ｕの列ベクトルは、左特異ベクトルを構成し、ユニタリー行列Ｖの列ベクトルは、右特異ベクトルを構成し、対角行列Ｓの対角線元素は、特異値であり、上の添え字である^Ｈは、行列に対する共役転置操作を代表する。 Then, singular value decomposition is performed on the matrix C _{i, k} . That is,

However, the column vector of the unitary matrix U constitutes the left singular vector, the column vector of the unitary matrix V constitutes the right singular vector, the diagonal element of the diagonal matrix S is a singular value, and the above subscript ^H , which represents a conjugate transpose operation on a matrix.

  Subsequently, a column of the number of data streams to be transmitted to the terminal is selected from the unitary matrix V to configure a precoding matrix. However, the selected column should be a singular vector corresponding to the smallest singular value.

Hereinafter, an example will be described. If C _{i, k} is a 3 × 3 matrix, equation (7) can be written in the following form:

を満足する。端末にツーパスのデータストリームを送信すると仮定すると、プリコーディング行列は、下記式（９）となる。

そのうち、右特徴ベクトルｖ_２とｖ_３は、最小の二つの特徴値ｓ_２とｓ_３に対応する。 Among them, the singular value is

Satisfied. Assuming that a two-pass data stream is transmitted to the terminal, the precoding matrix is expressed by the following equation (9).

Among them, the right feature vectors v ₂ and v ₃ correspond to the minimum two feature values s ₂ and s ₃ .

  The precoding matrix acquired in step 62 and the decoding matrix acquired in step 63 are collected and used as the output of the current iteration.

  In step S64, the iterative algorithm ends under the following conditions. In other words, if the number of iterations already exceeds the predetermined maximum number of iterations, or if the precoding matrix obtained by two calculations before and after is subtracted and the square sum of the elements of the obtained matrix becomes smaller than a predetermined threshold, the iteration is performed. Ends.

  In step S65, after completion of the iterative algorithm, an iterative output result that satisfies the iteration end condition is output.

  For the system settings shown in FIGS. 3A and 3B, the interference alignment precoding decoding matrix calculation can use an analysis algorithm.

  For the system shown in FIG. 3A, the interference alignment precoding decoding matrix calculation employs the following steps.

The following formula (10) is calculated.

The feature vector of the matrix A is calculated, and the precoding matrix p _3,1 is the feature vector. The precoding matrices p _2,1 and p _1,1 are calculated through the following equation.

Calculate the following formula.

The decoding matrix is calculated as follows.

  For the system shown in FIG. 3B, the interference alignment precoding decoding matrix calculation employs the following steps.

The following equations are solved to obtain a decoding matrix g _2,1 , g _3,1 and an interference equivalent channel h _IA ¹ .

Build the following equation:

Calculating the precoding matrices _{P 1.}
Construct the following set of equations.

Calculating a precoding matrix _{P 2} and _{P 3.}
The following equation (17) is calculated.

The feature vector of the matrix A is calculated, and the precoding matrix p ′ _3,1 is the feature vector.
P ′ _2,1 is calculated using the following equation (18).

The final precoding matrices p _2,1 and p _3,1 are calculated using the following equation (19).

Calculate the equivalent channel of cell 1.

Multi-User Multiple Input Multiple Output (MU-MIMO) using the method of calculating the precoding decoding to calculate a decoding matrix _{g 1, 1} and _{g 1, 2, p'precoding} matrix _{p'1, 1 1, 2} Calculate Among them, the MU-MIMO precoding decoding can use an iterative algorithm or a non-iterative algorithm of zero forcing, minimum mean square error, and maximized signal-to-leakage noise ratio.

The final precoding matrices p _1,1 and p _1,2 are calculated using the following equation (21).

  An example of a multi-cell cooperative precoding calculation flow according to an embodiment of the present invention is described below.

ただし、Ｈ_{ｉ，ｊ，ｋ}：送信機ｉからセルｊの中のユーザｋへの下りチャネル；
Ｇ_ｊ，ｋ：セルｊの中のユーザｋの復号行列。 When the interference alignment precoding calculation is triggered, the equivalent channel direction information is calculated based on the interference alignment decoding matrix and the channel direction information. Specifically, it is calculated as follows.

Where H _{i, j, k} : downlink channel from transmitter i to user k in cell j;
G _{j, k} : Decoding matrix of user k in cell j.

If the interference alignment precoding calculation is not triggered, the equivalent channel direction information is equal to the channel direction information. Specifically, it is calculated as follows.

When the interference alignment precoding calculation is triggered, the equivalent channel quality information is calculated based on the interference alignment decoding matrix and the channel quality information. For example, channel noise and interference measurement values γ _{j, k} can be fed back from user k in cell j, and equivalent channel quality information can be calculated based on interference alignment decoding matrix G _{j, k} .

If the interference alignment precoding calculation is not triggered, the equivalent channel quality is equal to the channel quality information fed back from the user. That is,

  Using the above equivalent channel direction information and equivalent channel quality information, a multi-cell cooperative precoding matrix can be calculated, for example, based on a method of zero forcing or maximized signal to leakage noise ratio.

  In the above description, the interference alignment precoding decoding matrix calculation unit is described in the form of a unit separated from the transmitter. However, it should be appreciated by those skilled in the art that the interference alignment precoding decoding matrix calculation unit can be implemented as part of the transmitter. FIG. 7 is a structural diagram describing a transmitter according to another embodiment of the present invention.

  As shown in FIG. 7, the transmitter 70 includes a channel information acquisition unit 71, a multi-cell cooperative precoding matrix calculation unit 72, a precoding unit 73, an interference alignment precoding matrix calculation trigger unit 74, and interference alignment precoding. A decoding matrix calculation unit 75. These units are the channel information acquisition unit 41, multi-cell cooperative precoding matrix calculation unit 42, precoding unit 43, interference alignment precoding matrix calculation trigger unit 44 shown in FIG. 4, and interference alignment precoding decoding shown in FIG. Each corresponds to the matrix calculation unit 45. Therefore, these functions and operation processes will not be described again in detail here.

  If the technology according to the present invention is used, multi-cell cooperative communication can be realized. By using interference alignment technology, co-frequency interference between cells and between users is effectively suppressed, so that the system can provide services to more users at the same time. At the same time, using the method according to the invention, the number of information interactives required between different transmitters is effectively controlled. The system can effectively adjust the communication mode based on the user's request and system state, and can freely select different complexity and different performance methods to realize multi-cell cooperative precoding and interference management.

  The above description is used only for the embodiments that realize the present invention. It should be understood by those skilled in the art that any modification or replacement which does not depart from the scope of the present invention shall fall within the scope limited by the claims of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (14)

In a precoding method based on interference alignment,
Calculating an interference alignment decoding matrix based on downlink channel direction information from each transmitter to all involved terminals;
Calculating channel direction information of a downlink equivalent channel related to a multi-cell system based on an interference alignment decoding matrix and channel direction information of the downlink channel;
Calculating channel quality information of a downlink equivalent channel related to the multi-cell system based on the interference alignment decoding matrix and the channel quality information of the downlink channel;
Calculating a multi-cell cooperative precoding matrix based on channel direction information of the downlink equivalent channel and channel quality information of the downlink equivalent channel;
Precoding user data with the multi-cell cooperative precoding matrix, and a precoding method based on interference alignment. In calculating the interference alignment decoding matrix,
The method of claim 1, further comprising: calculating the interference alignment decoding matrix from channel direction information of downlink channels from each transmitter to all related terminals based on a minimized interference criterion in an iterative manner. Method.   3. The method of claim 2, wherein the iteration is terminated if the number of iterations reaches a predetermined value or the difference between the two iteration outputs is less than a predetermined threshold. In calculating the interference alignment decoding matrix,
The method according to claim 1, further comprising: calculating the interference alignment decoding matrix from channel direction information of downlink channels from each transmitter to all related terminals according to a method of analysis algorithm.   The method of claim 1, further comprising: utilizing channel measurement conditions to determine if an interference alignment decoding matrix needs to be calculated. In a multi-cell cooperative precoding method based on an interference alignment decoding matrix,
Calculating channel direction information of a downlink equivalent channel related to a multi-cell system based on an interference alignment decoding matrix and channel direction information of the downlink channel;
Calculating channel quality information of a downlink equivalent channel related to the multi-cell system based on the interference alignment decoding matrix and the channel quality information of the downlink channel;
Calculating a multi-cell cooperative precoding matrix based on channel direction information and channel quality information of a downlink equivalent channel;
Precoding user data with the multicell cooperative precoding matrix, and a multicell cooperative precoding method based on an interference alignment decoding matrix. In a method for calculating an interference alignment decoding matrix,
Obtaining channel direction information of the downlink channel from the transmitter of the cooperative cell to each terminal from the transmitter of the cooperative cell;
Calculating an interference alignment decoding matrix based on the channel direction information of the downlink channel;
An interference alignment decoding matrix calculation method comprising: notifying each transmitter of an interference alignment decoding matrix calculation result via connection with each transmitter. In the transmitter,
An interference alignment precoding decoding matrix calculation unit for calculating an interference alignment decoding matrix based on channel direction information of downlink channels from each transmitter to all related terminals;
Based on the interference alignment decoding matrix and the channel direction information of the downlink channel, calculate the channel direction information of the downlink equivalent channel related to the multi-cell system, and based on the interference alignment decoding matrix and the channel quality information of the downlink channel, A multi-cell cooperative coding matrix calculation unit that calculates channel quality information of an equivalent channel and calculates a multi-cell cooperative precoding matrix based on channel direction information of the downlink equivalent channel and channel quality information of the downlink equivalent channel;
A transmitter comprising: a precoding unit that precodes user data with the multi-cell cooperative precoding matrix.   The interference alignment precoding decoding matrix calculation unit calculates the interference alignment decoding matrix from the channel direction information of the downlink channel from each transmitter to all the related terminals according to an iterative scheme based on the minimized interference criterion. The transmitter according to claim 8.   The transmitter according to claim 9, wherein the iteration is terminated if the number of iterations reaches a predetermined value or the difference between the two iteration outputs is less than a predetermined threshold.   9. The interference alignment precoding decoding matrix calculation unit calculates the interference alignment decoding matrix from channel direction information of downlink channels from each transmitter to all related terminals according to an analysis algorithm method. Transmitter.   The transmitter of claim 8, further comprising a trigger unit that determines whether it is necessary to calculate an interference alignment decoding matrix using a channel measurement situation. In the transmitter,
Based on the interference alignment decoding matrix and the channel direction information of the downlink channel, calculate the channel direction information of the downlink equivalent channel related to the multi-cell system, and based on the interference alignment decoding matrix and the channel quality information of the downlink channel, A multi-cell cooperative precoding matrix calculating unit that calculates channel quality information of an equivalent channel and calculates a multi-cell cooperative precoding matrix based on channel direction information and channel quality information of a downlink equivalent channel;
A transmitter comprising: a precoding unit that precodes user data with the multi-cell cooperative precoding matrix. In a device that computes an interference alignment decoding matrix,
An apparatus for acquiring channel direction information of a downlink channel from the transmitter of the cooperative cell to each terminal from the transmitter of the cooperative cell;
An apparatus for calculating an interference alignment decoding matrix based on the channel direction information of the downlink channel;
An interference alignment decoding matrix calculation device comprising: a device for notifying each transmitter of an interference alignment decoding matrix calculation result through connection with each transmitter.

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