# Efficient filter weight computation for mimo system

FIELD: information technology.

SUBSTANCE: in a first scheme, a Hermitian matrix is iteratively derived based on a channel response matrix, and a matrix inversion is indirectly calculated by deriving the Hermitian matrix iteratively. The spatial filter matrix is derived based on the Hermitian matrix and the channel response matrix. In a second scheme, multiple rotations are performed to iteratively obtain first and second matrices for a pseudo-inverse matrix of the channel response matrix. The spatial filter matrix is derived based on the first and second matrices. In a third scheme, a matrix is formed based on the channel response matrix and decomposed to obtain a unitary matrix and a diagonal matrix. The spatial filter matrix is derived based on the unitary matrix, the diagonal matrix, and the channel response matrix.

EFFECT: efficient derivation of a spatial filter matrix.

24 cl, 4 dwg

The technical field to which the invention relates.

The present description, in General, relates to the field of communications and more specifically to methods of calculating the weights of the filters in the communication system.

The level of technology

In the communication system with multiple inputs and multiple outputs (MIMO MVPS) for data transmission using multiple (T) transmit antennas of a transmitting station, and many (R) receiving antennas of the receiving station. A MIMO channel formed by the T transmit antennas and R receiving antennas may be decomposed into S spatial channels, where S≤min {T, R}. S spatial channels may be used to transmit data in such a way to achieve greater overall throughput and/or higher reliability.

The transmitting station can simultaneously transmit T data flows through the T transmit antennas. In these data streams have distortion in accordance with the response of the MIMO channel, and their quality is additionally deteriorates due to exposure to noise and interference. The receiving station receives the transmitted data streams through R receiving antennas. The received signal from each receiving antenna contains a scaled version of the T data streams transmitted by a transmitting station. Transmitted data streams, thus dispersed among the R signals received through R receiving antennas. When is MNA station then performs spatial processing receiver for R received signals, using the matrix spatial filter, to recover the transmitted data streams.

To determine the weights matrix spatial filter requires a lot of processing. This is because the matrix spatial filter is usually obtained on the basis of the function that contains the inverse of the matrix, and direct calculations of matrix inversion require volumetric calculations.

Thus, this technology requires the development of methods for efficient calculation of the weighting coefficients of the filter.

The invention

Here is described the method of calculating the effective weighting matrix spatial filter. These techniques allow to exclude a direct calculation of matrix inversion.

In the first variant embodiment for obtaining matrix__M__spatial filter Hermitian matrix P iteration is obtained on the basis of the matrix__H__response channel, and the inverse of the matrix indirectly calculated by iterative obtain a Hermitian matrix. Hermitian matrix can be initialized to the identity matrix. One iteration is then performed for each row of the matrix of the channel response, and effective sequence of calculations performed for each iteration. For the i-th iteration of the receive intermediate vector__a___{i}line-based vector__h__*r*_{i}get on the basis of the intermediate vector and row vector row of the channel response. Intermediate matrix__C___{i}also get on the basis of the intermediate vector line. Hermitian matrix, then update based on scalar values and the intermediate matrix. After all the iterations are matrix spatial filter based on the Hermitian matrix and the matrix of the channel response.

In the second variant embodiment perform many turns to iteratively obtain a first matrix__P__^{1/2}and the second matrix__B__for pseudouridines matrix of the channel response. One iteration is performed for each row of the matrix of the channel response. For each iteration form a matrix__Y__containing the first and second matrix from the previous iteration. Many turns of Givens then perform for the matrix__Y__to zero the elements in the first row of the matrix, to obtain the updated first and second matrix for the next iteration. After all iterations are completed, the receive matrix spatial filter based on the first and second matrices.

In the third variant embodiment form a matrix__X__based on the matrix of the channel response and decompose (for example, using the receiving decomposition own values)
to obtain a unitary matrix__V__and a diagonal matrix__L__. The decomposition can be obtained in the iterative execution of rotations Jacobi matrix__X__. Matrix spatial filter is then obtained on the basis of a unitary matrix, a diagonal matrix and the matrix of the channel response.

Various aspects and embodiments of the invention are described in more detail below.

Brief description of drawings

Properties and essence of the present invention will be clearer from the detailed description below, which should be read in conjunction with the drawings in which the same numbers of reference positions indicated corresponding elements in all the drawings.

In figure 1, 2 and 3 shows the processing performed to calculate the matrix of spatial MMSE filter (ISCED, the minimum mean square error), based on the first, second and third variants of the embodiment, respectively.

Figure 4 shows the block diagram of the access point and user terminal.

Detailed description of the invention

The word "exemplary"as used here, means "used as an example, a case or illustration". Any variant execution or design described herein as "exemplary"is not necessarily should be considered as preferred or predominant compared to the other options run or designs.

Described here are methods for calculating weighting coefficients of the filter can be used for MIMO systems with single-carrier and MIMO systems with multiple carriers. Many of bearing can be obtained using multiplexing orthogonal frequency division signals (OFDM), multiple access frequency division with alternation (IFDMA), localized multiple access frequency division (LFDMA), or some other modulation techniques. OFDM, IFDMA and LFDMA effectively share the total bandwidth of the system into multiple (K) orthogonal frequency papolos, which are also called tones, subcarriers, the signal elements and frequency channels. Each podporou associated with the corresponding subcarrier, which can be modulated data. In the system of the OFDM symbols of the modulation transfer in the frequency domain for all or a subset K papolos. In IFDMA transmit the modulation symbols in the field of time popoloca which are evenly distributed on K popoloca. In LFDMA transmit the modulation symbols in the field of time and usually in the neighboring popoloca. For clarity, most of the following description is directed to a MIMO system with a single carrier, which uses one subcarriers.

A MIMO channel formed by multiple (T) transmit antennas at a transmitting station, and numerous ® receiving antennas at the reception is Antii,
can be characterized by the matrix__H__response channel size RxT, which can be specified as:

Equation (1)

where h_{i,j}*,*for i=1,...,R and j=1,...,T denotes the strengthening of links or complex gain of the channel between the transmit antenna j and receive antenna i*;*and

__h___{i}is a vector of strings of the channel response 1×T to the receiving antenna i*,*which represents the i-th row of the matrix__H__.

For simplicity, in the following description it is assumed that the MIMO channel has full rank and that the number of spatial channels (S) is defined as: S=T≤R

The transmitting station may transmit T modulation symbols simultaneously from the T transmit antennas in each symbol period. The transmitting station may perform or may perform spatial processing for the modulation symbols prior to transmission. For simplicity, the following description assumes that each modulation symbol is passed through the transmitting antenna without any spatial processing.

The receiving station receives R received symbols from the R receiving antennas in each symbol period. The received symbols can be expressed as:

Equation (2)

where__s__is a vector of size T×1, where T is the modulation symbols transmitted transmitting the second station;

__r__is a vector of size R×1, where R is the received characters receive in the receiving station R receiving antennas; and

__n__is the noise vector of size R×1.

For simplicity, we can assume that the noises are additive white Gaussian noise (AWGN) with zero mean vector and covariance matrix δ^{2}_{n}×__I__where δ^{2}_{n}represents the noise variance, and__I__represents the identity matrix.

In the receiving station may use different methods of spatial processing for recovering modulation symbols transmitted by a transmitting station. For example, the receiving station may perform spatial processing of the receiver with minimum mean square error (MMSE), as follows:

Equation (3)

where__M__is a matrix of spatial MMSE filter of size T×R;

__P__represents the Hermitian covariance matrix of size T×T error estimates__s__-;

is a vector of size T×1, which is an estimate of s; and

*"*^{H}*"*denotes conjugate transposition.

Matrix__P__the covariance can be specified as__P__=E[(__s__-)×(__s__-
)^{H}], where E[] represents an operation of mathematical expectation.__P__also is a Hermitian matrix, the off-diagonal elements which have the following properties p_{i,j}=p*_{i,j}where "*" denotes a complex conjugate of a number.

As shown in equation (3), matrix__M__spatial MMSE filter is the calculation of the converted matrix. The direct calculation of the matrix inversion requires a large amount of computer operations. The matrix of spatial MMSE filter can be more effectively obtained on the basis of the embodiments, described below, which allow you to indirectly calculate the inverse of the matrix using an iterative process, instead of directly calculating the conversion matrix.

In the first variant embodiment of the calculation of the matrix__M__spatial MMSE filter count Hermitian matrix__P__based on the Riccati equation. Hermitian matrix P can be expressed as follows:

Equation (4)

Hermitian matrix__P___{i}the size of TxT can be defined as:

Equation (5)

Lemma matrix inversion can be applied to equation (5) to obtain the following:

Equation (6)

where*r*_{i}is a scalar there is a valid value.
Equation (6) is called the Riccati equation. Matrix__P___{i}can be initialized asAfter the execution of R iterations of equation (6), for i*=*1,...,R are matrix__P___{R}as the matrix__P__or__P__=__P___{R}.

Equation (6) can be multiplied by certain coefficients to obtain the following:

Equation (7)

where matrix__P___{i}initialize as__P___{0}=__I__and the matrix__P__get as__P__=·__P___{R.}Equations (6) and (7) differ from the solutions of the equation (5). For simplicity used the same variables__P___{i}and r_{i}for both equations (6) and (7), even though these variables have different values in the two equations. The final results obtained by the equations (6) and (7), that is,__P___{R}for equations (6) and·__P___{R}for equation (7) are equivalent. However, calculations for the first iteration of equation (7) are simplified thanks to the use of__P___{0}as the identity matrix.

Each iteration of equation (7) can be performed as follows:

Equation (8a)

Equation (8b)

Equation (8c)

Equation (8d)

where__a___{i}is a vector of intermediate rows 1×T elements with complex value; and

__C__represents an intermediate Hermitian matrix of size T×T.

In the system (8) equations sequence of operations is structured for efficient calculation using hardware. A scalar value r_{i}I hope before the matrix__C___{i}. Division by r_{i}in equation (7) is achieved by means of an inversion and multiplication. The treatment of r_{i}can be performed in parallel with the calculation of__C___{i}. The treatment of r_{i}is achieved with a shift for normalization of r_{i}and with the use of a reference table to obtain the converted values of r_{i}. The normalization of r_{i}can be compensated by multiplying by__C___{i}.

Matrix__P___{i}initialize as a Hermitian matrix, or__P___{0}=__I__and it remains Hermitian matrix in all following iterations. Therefore, only the upper (or lower) diagonal matrix need be calculated for each iteration. After R iterations are matrix__P__as__P__=·__P___{R.}The matrix of spatial MMSE filter can then be calculated as follows:

Equation (9)

Figure 1 show the n process 100 calculation of the matrix__
M__spatial MMSE filter based on the first variant embodiment. Matrix__P___{i}initialized as__P___{0}=1 (block 112), and the index i is used to denote the number of iteration and is initialized as i=1 (block 114). Then execute R iterations of the Riccati equation.

Each iteration of the Riccati equation is performed by block 120. For the i-th iteration vector__a___{i}the intermediate line is calculated on the basis of the declared vector__h___{i}the channel response and Hermitian matrix__P___{i+1}the previous iteration, as shown in equation (8a) (block 122). A scalar value r_{i}calculated based on the variance σ^{2}_{n}noise vector__a___{i}intermediate string and vector__h___{i}prompt response of the channel, as shown in equation (8b) (block 124). Scalar*r*_{i}after that it is converted (block 126). Intermediate matrix__C___{i}calculated on the basis of__a___{i}intermediate line, as shown in equation (8c) (block 128). Matrix__P___{i}then update based on the inverted scalar value of*r*_{i}and the intermediate matrix__C___{i}as shown in equation (8d) (block 130).

Then determine whether you have performed all the R iterations (block 132). If the answer is negative, perform a sequential increment index i(block 134),
and the process returns to block 122 to perform another iteration. Otherwise, if all R iterations were performed, calculate the matrix M MMSE spatial filter based on the Hermitian matrix__P___{R}for the last iteration, matrix__H__response channels and variance σ^{2}_{n}noise, as shown in equation (9) (block 136). Matrix__M__you can then use for spatial processing of the receiver as shown in equation (3).

In the second variant embodiment of the calculation of the matrix__M__spatial MMSE filter define a Hermitian matrix__P__by obtaining the square root__P__that is a__P__^{1/2}on the basis of an iterative procedure. Spatial processing receiver in equation (3) can be expressed as follows:

Equation (10)

where__U__=represents dopolnennuyu the channel matrix of size (R+T)×T;

__U__^{p}represents pseudouridine matrix of size T×(R+T)resulting from the operation of the treatment or pseudouridine Moore-Penrose for__U__or__U__^{p}=(__U__^{H}·__U__)^{-1}·__U__^{H};

__0___{Tx1}is a vector of size T×1 containing zeroes; and

*is a under the atrice of size T×R,
containing the first R columns U^{p}.*

*The QR decomposition can be performed for a matrix with augmented channel as follows:*

*Equation (11)*

*where Qis a matrix of size (R+T)×T with orthonormal columns;*

__R__is a matrix of size T×T, which is not the identity matrix;

__B__is a matrix of size R×T containing the first R rows of the matrix__Q__; and

__Q___{2}is a matrix of size T×T, containing the last T rows of the matrix__Q__.

*QR (KO, quasiorder) the decomposition in equation (11) decomposes the matrix of the augmented channel orthogonal matrix Qand on repeated matrixR. Orthogonal matrixQhas the following property:Q^{H}·Q=Ithat means that the columns of an orthogonal matrix are orthogonal relative to each other, and each column has a single degree. Not the identity matrix is a matrix which can be calculated converts the matrix.*

*Hermitian matrix Pcan then be expressed as:*

*Equation (12)*

__R__represents decomposition Koleczkowo or the square root of the matrix P^{-1}. Therefore,__P__^{1/2}is__R__^{-1}called Quadrat the m root matrix__
P__.

*Pseudobradya matrix in equation (10) can then be expressed as:*

*Equation (13)*

*Pediatricawhich also is a matrix of spatial MMSE filter can then be expressed as:*

*Equation (14)*

*Equation (10) can then be expressed as:*

*Equation (15)*

*Matrix P^{1/2}andBcan be calculated iteratively as follows:*

*or Equation (16)*

*Equation (17)*

*where Y_{i}is a matrix of size (T+R+1)×(T+1), containing elements derived fromP^{1/2}_{i-1},B_{i-1}andh_{i};*

__and___{i}is a unitary transformation matrix of size (T+1)×(T+1);

__Z___{i}is a transformed matrix of size (T+R+1)×(T+1)containing the elements for P_{i}^{1/2},__B___{i}and*r*_{i};

__e___{i}is a vector of size R×1 unit (1,0) as the i-th element and with the other zero elements; and

__k___{i}is a vector of size T×1 and__I___{i}is a vector R×1, and both of them are insignificant.

*Matrix P
^{1/2}andBinitialize asP_{0}^{1/2}=·IandB_{0}=0_{RxT}.*

*The transformation in equation (17) can be performed iteratively, as described below. For clarity, each iteration of equation (17) is called outer iteration. R external iterations of equation (17) is performed for the R vector h_{i}the channel response for i=1,...,R. For each outer iteration unitary matrixσ_{i}the transformation in equation (17) is converted into the transformed matrixZ_{i}containing all zeros in the first row, except the first element. The first column of the transformed matrixZ_{i}contains r_{i}^{1/2},k_{i}andI_{i}. The last T columnsZ_{i}contain updatedP_{i}^{1/2}andB_{i}. The first column isZ_{i}you do not need to count, because onlyP_{i}^{1/2}andB_{i}used in the next iteration.P_{i}^{1/2}is an upper triangular matrix. After R outer iterations getP_{R}^{1/2}asP^{1/2}andB_{R}get asB. MatrixMspatial MMSE filter can then be calculated based onP^{1/2}andBas shown in equation (14).*

*For each outer iteration i
the transformation in equation (17) can be performed by successive zero one element in the first rowY_{i}at the same time with 2×2 Givens rotations. T inner iterations Givens rotation can be performed to reset the last T elements in the first rowY_{i}.*

*For each outer iteration i, matrix Y_{i,j}can be initialized asY_{i1}=Yi. For each inner iteration j for j=1,...,T, the outer iteration i, originally form PediatricoY'_{i,j}size (T+R+1)×2 containing the first and the (j+1)-th columnsY_{i,j}. Then perform the Givens rotation to pieces and usesY'_{i,j}to generate pieces and usesY"_{i,j}size (T+R+1)×2 containing zero in the second element in the first row. The Givens rotation can be expressed as:*

*Equation (18)*

*where G_{i,j}is a rotation matrix of the Givens of size 2×2 for the j-th inner iteration of the i-th outer iteration, which is described below. MatrixY_{i,j+1}then form first by settingY_{i,j+1}=Y_{i,j}then replace the first columnY_{i,j+1}the first columnY"_{i,j}and then replace the (j+1)-th column of the matrixY_{i,j+1}the second columnY"_{i,j}. The Givens rotation, thus, modifies only two hundred the GCAP
Y_{i,j}j-th inner iteration to obtainY_{i,j+1}for the next inner iteration. The Givens rotation can be performed in place of the two columnsY_{i}for each inner iteration, resulting in an intermediate matrixY_{i,j},Y'_{i,j},Y"_{i,j}andY_{i,j+1}not needed and described above for clarity.*

*For the j-th inner iteration of the i-th outer iteration matrix G_{i,j}the Givens rotation is determined based on the first element (which is always a valid value) and (j+1)-th element in the first row of the matrixY_{i,j}. The first element may be denoted as a, and (j+1)-th element can be designated as b·e^{jθ}. MatrixG_{i,j}the Givens rotation can then be obtained in the following way:*

*Equation (19)*

*where c=and s=for equation (19).*

*Figure 2 shows a process 200 that is designed to calculate the matrix Mspatial MMSE filter based on the second variant embodiment. MatrixP_{i}^{1/2}initialize P_{0}^{1/2}=·Iand the matrixB_{i}initialize asB_{0}=0(block 212). The index i to denote the number of external iterations are initialized as i=1, iindex j,
used to denote the number of inner iteration, initialize j=1 (block 214). Then execute R outer iterations unitary transformation in accordance with equation (17) (block 220).*

*For the i-th outer iteration first form a matrix Y_{i}with vectorh_{i}prompt response of the channel matrixP_{i-1}^{1/2}andB_{i-1}as shown in equation (17) (block 222). MatrixY_{i}then referred to as matrixY_{i,j}for the inner iterations (block 224). T inner iterations of the Givens rotation is then performed for the matrixY_{i,j}(block 230).*

*For the j-th inner iteration gain matrix G_{i,j}the Givens rotation based on the first and (j+1)-th elements in the first rowY_{i,j}as shown in equation (19) (block 232). MatrixG_{i,j}the Givens rotation is then applied to the first and the (j+1)-th columnsY_{i,j}to getY_{i,j+1}as shown in equation (18) (block 234). Then determine whether you have performed all the T inner iteration (block 236). If the answer is "No", then the index j is increased by one unit (block 238), and processing returns to block 232 to perform other internal iteration.*

*If all T inner iterations were performed for the current outer iteration and the answer is "Yes" to block 236, then the last Y_{
i,j+1}equalZ_{i}in equation (17). An updated matrixP_{i}^{1/2}andB_{i}get out the lastY_{i,j+1}(block 240). Then determine whether you have performed all the R outer iterations (block 242). If the answer is "No", then the index i is increased by one unit, and the index j re-initialize j=1 (block 244). Processing then returns to block 222 to perform other external iteration withP_{i}^{1/2}andB_{i.}Otherwise, if all R outer iterations were performed and the answer is "Yes" to block 242, then calculate the matrixMspatial MMSE filter based onP_{i}^{1/2}andB_{i}as shown in equation (14) (block 246). The matrix M can then be used for spatial processing of the receiver as shown in equation (15).*

*In the third variant embodiment of the calculation of the matrix M MMSE spatial filter performs the decomposition on their own values P^{-1}as follows:*

*Equation (20)*

*where Vis a unitary matrix T×T eigenvectors; and*

*is a diagonal matrix of size T×T with real eigenvalues along the diagonal.*

*Expansion eigenvalues Hermitian matrix<>
X _{2x2}2×2 can be obtained using different techniques. In a variant embodiment decomposition own valuesX_{2x2}receive by performing complex Jacobi rotation forX_{2x2}to obtain matrixV_{2x2}2×2 eigenvectorsX_{2x2}. X_{2x2}andV_{2x2}can be specified as:*

*Equation (21)*

__V___{2x2}can be calculated directly from__X___{2x2}as follows:

*Equation (22a)*

*Equation (22b)*

*Equation (22c)*

*Equation (22d)*

*Equation (22e)*

*Equation (22f)*

*Equation(22g)*

*Equation (22h)*

*Equation (22i)*

*Equation (22j)*

*Equation (22k)*

*Expansion eigenvalues Hermitian matrix Xof size T×T, which is greater than 2×2, can be performed in an iterative process. In this iterative process, repeatedly use what is the Jacobi rotation to zero the off-diagonal elements in
X. For the iterative process, the index i denotes the iteration number and is initialized as i=1.Xis a Hermitian matrix of size T×T, which must be decomposed, and is installed asX=P^{-1}. MatrixD_{i}is an approximation of the diagonal of the matrixin equation (20) and is initialized asD_{0}=X. MatrixVis an approximation of the unitary matrixVin equation (20) and is initialized asV_{0}=I.*

*A single iteration of the Jacobi rotation to update matrix D_{i}andV_{i}can be performed as follows. First Hermitian matrixD_{pq}2×2 is formed on the basis of the current matrixD_{i}as follows:*

*Equation (23)*

*where d _{p,q}represents the element at location (p,q) matrixD_{i}, p{1,...,T}, g{1,...,T}, and p≠q.D_{pq}is PediatricoD_{i}2×2, and four elements of D_{pq}represent the four elements at locations (p, p), (p, q), (q, p) and (q, q) matrixD_{i.}The indices p and q may be selected, as described below.*

*Then perform the decomposition on their own values D_{pq}as shown in equation (2),
to obtain a unitary matrixV_{pq}2×2 eigenvectorsD_{pq}. To decompose on their own valuesD_{pq,}X_{2x2}in equation (21) is replaced byD_{pq}andV_{2x2}from equation (22j) or (22k) are asV_{pq}.*

*The matrix of T _{pq}complex Jacobi rotation TxT size is then formed withV_{pq,}T_{pq}and represents the identity matrix with four elements at locations (p, p), (p, q), (q, p) and (q, q), which are replaced by the elements of v_{1,1}v_{1,2}v_{2,1}and v_{2,2}accordingly, in the matrixY_{pq}.*

*Matrix D_{i}then updated as follows:*

*Equation (24)*

*Equation (24) two zeroes off-diagonal element at locations (p, q) and (q, p) in the matrix D_{i}. The calculation can change the values of the other off-diagonal elements inD_{i}.*

*Matrix V_{i}also update as follows:*

*Equation (25)*

__V___{i}can be viewed as a matrix of cumulative transformations, which contains all matrix__T___{pq}turn Jacobi used for__D___{i}.

*Each iteration of the Jacobi rotation resets the two off-diagonal matrix element Di. The number of iterations of Jacobi rotation can the be performed for different values of the indices p and q,
to reset all off-diagonal elementsD_{i}. One pass through all possible values of the indices p and q may be performed as follows. The index p is sequentially changes from 1 up to T-1 in increments of the unit. For each value of p, the index q is sequentially changed from p+1 to T in increments of the unit. The Jacobi rotation performed for each different combination of values of p and q. Many passages can be made up untilD_{i}andV_{i}will not provide reasonably accurate estimatesandVrespectively.*

*Equation (20) can be rewritten as follows:*

*Equation (26)*

*whereis a diagonal matrix whose elements represent the converted values corresponding elements. Decomposition own values X=P^{-1}is evaluationandV.can be inverted to obtain^{-1}.*

*The matrix of spatial MMSE filter can then be calculated as follows:*

*Equation (27)*

*3 shows a process 300 that is designed to calculate the matrix Mspatial Phil is tra MMSE,
on the basis of the third variant embodiment. Hermitian matrixP^{-1}the original is obtained on the basis of the matrixHresponse of the channel, as shown in equation (20) (block 312). Then perform the decomposition on their own valuesP^{-1}to obtain a unitary matrixVand a diagonal matrixas also shown in equation (20) (block 314). Decomposition own values can be performed iterative with multiple twists Jacobi, as described above. MatrixMspatial MMSE filter is then obtained on the basis of a unitary matrixVdiagonal matrixand matrixHresponse of the channel, as shown in equation (27) (block 316).*

*Matrix Mspatial MMSE filter based on each of the options above embodiment, represents the biased MMSE solution. Offset matrixMthe spatial filter can be scaled using a diagonal matrixD_{mmse}to obtain unbiased MMSE matrixM_{mmse}spatial filter.MatrixD_{mmse}can be obtained as D_{mmse}=[diag[M·H]]^{-1}where diag[M·H] represents a diagonal matrix containing the diagonal elements ofM·H.*

*The above calculations can also use the address to obtain the spatial filter matrices for methods with zero significant coefficients (ZF) (also called the method of treatment of the matrix with correlation of the channel (CCMI,
OMCC)), methods of combining maximum ratio (MRC, ERC) and so on. For example, the receiving station may perform spatial processing receiver with zero significant coefficients and MRC, as follows:*

*Equation (28)*

*Equation (29)*

*where M_{zf}is a matrix spatial filter of size T×R were converted to zero is not significant factors;*

__M___{mrc}is a matrix of spatial MRC filter size T×R;

__P___{zf}=(H^{H}·H)^{-1}is a Hermitian matrix of size T×T; and

*[diag( P_{zf})] is a diagonal matrix of size T×T, containing the diagonal elements ofP_{zf}.*

*The inverse of the matrix is necessary for the direct calculation of P_{zf}.P_{zf}can be calculated using variants of the embodiments described above for the matrix of spatial MMSE filter.*

*In the above description, it is assumed that the T modulation symbols to transmit simultaneously from the T transmit antennas, without any spatial processing. The transmitting station may perform spatial processing before transmission as follows:*

*Equation (30)*

*DG is
xis a vector of size T×1 T symbols of the transmission, which must be passed through the T transmit antennas; and*

__W__is the transfer matrix of size T×s Matrix__W__transmission can be either (1) the matrix of right singular vectors obtained by performing a decomposition of the singular values of__H__, (2) the matrix of eigenvectors obtained by performing a decomposition on their own values__H__^{H}__H__or (3) the control matrix selected for the spatial distribution of modulation symbols S spatial channels of the MIMO channel. Matrix__H___{eff}effective channel response observed by symbols of the modulation can then be specified as__H___{eff}=__H__·__W__. The above combination can be based on the__H___{eff}instead of__H__.

*For clarity, the above description, it shows a MIMO system with a single carrier, with one podoloski. For MIMO systems with multiple load-bearing matrix H(k) the channel response can be obtained for each podology k of interest. MatrixM(k) the spatial filter can then be obtained for each podology k based on the matrixH(k) of the channel response for this podology.*

*The above calculations for the matrix spatial filter can be performed with use what Itanium processors of various types,
such as the floating-point processor, a processor with a fixed decimal point, processor, digital computer, rotate the coordinates (CORDIC), lookup table, and so forth, or combinations thereof. The CORDIC processor embodies an iterative algorithm that enables quick calculation using hardware trigonometric functions such as sine, cosine, magnitude and phase, using a simple hardware shift and addition/subtraction. The CORDIC processor may iteratively calculate each of the variables r, c _{1}and s_{1}system (22) equations with a large number of iterations, which allows to achieve a higher accuracy for the variable.*

*Figure 4 shows the block diagram of the point 410 access and terminal 450 of the user in the system 400 MIMO. Point 410 access equipped with N _{ap}antennas_{,}and the terminal 450 user is equipped with N_{ut}antennas, where N_{ap}>1 and N_{ut}>1. The top-down transmission channel, at the point 410 access processor 414 transmit (TX) data receives data traffic from source 412 data and other data from a controller/processor 430. The processor 414 TX data formats, encodes, performs interleaving, modulating the data and generates data symbols, which are modulation symbols for data. The spatial processor 420, TX multiplex is the duty to regulate the data symbols with pilot symbols,
performs spatial processing matrixWtransfer, if applicable, and provides N_{ap}streams of transmitted symbols. Each module 422 transmitters (TMTR) processes corresponding to the stream of transmitted symbols and generates a modulated signal to a downstream transmission channel. The modulated signals to a downstream transmission channel N_{ap}modules 422a-422ap transmitter transmits via antenna 424a-424ap respectively.*

*In the terminal 450 user N _{ut}antennas 452a-452ut receive the transmitted modulated signals downstream of the transmission channel, and each antenna transmits the received signal to the corresponding module (RCVR) 454 receiver. Each module 454 receiver performs processing complementary to the processing performed by the modules 422 transmission, and provides received pilot symbols and received data symbols. Block/processor 478 channel estimation processes the received pilot symbols and provides an assessment of the response of H_{dn}channel downstream of the transmission channel. The processor 480 receives the matrixM_{dn}spatial filter downstream of the transmission channel on the basis ofH_{dn}and using any of the variants of the embodiment described above. The spatial processor 460 receiver (RX) performs spatial processing of the receiver (or spatial agreed the second filtering) for the received data symbols from all N_{
ut}modules 454a-454ut receiver matrixM_{dn}spatial filter downstream of the transmission channel and provides detected data symbols, which are estimates of the data symbols transmitted by the point 410 access. The processor 470 receiver processes (for example, performs the inverse mapping of the symbol, removes the interleaving and decodes) the detected data symbols and provides decoded data to a receiver 472 of data and/or the controller 480.*

*Treatment for upstream transmission channel may be the same or may be different from the processing for the downward transmission channel. Data from 486 source data and signals from the controller 480 is processed (e.g., encode, perform interleaving and modulate) using a processor 488 TX data, multiplexed with pilot symbols and possibly spatially processed by a spatial processor 490 TX. The characters pass from the spatial processor 490 TX further treated using modules 454a-454ut transmitter for generating N _{ut}modulated signals upstream transmission channel, which is transmitted via antenna 452a-452ut.*

*At the point 410 access modulated signals upstream transmission channel is taken with the help of antennas 424a-424ap and process using modules 422a-422ap receiver to generate adopted p the pilot symbols and received data symbols,
for transmission upstream transmission channel. Block/processor 428 channel estimation processes the received pilot symbols and provides an assessment of response H_{up}channel ascending transmission. The processor 430 receives the matrixM_{up}spatial filter upstream transmission channel, and using one of the embodiments described above. The spatial processor 440 RX performs spatial processing receiver for the received data symbols with a matrixM_{up}spatial filter upstream transmission channel and provides detected data symbols. The processor 442 data RX advanced processes the detected data symbols and provides decoded data to a receiver 444 data and/or the controller 430.*

*Controllers 430 and 480 controls the operations at the point 410 access and terminal 450 of the user, respectively. In modules 432 and 482 stores data and program codes used by the controllers 430 and 480, respectively.*

*The blocks shown in figure 1-4 represent functional blocks, which can be embodied in the form of hardware (one or more devices), built-in programs (one or more devices), software (one or more modules), or combinations thereof. For example, the methods described here calculate the weight of coefficie the tov filter may be embodied as hardware,
firmware, software or combinations thereof. When executed in the form of hardware processing modules used to calculate the weighting coefficients of the filter can be embodied in one or more specific integrated circuits (ASIC), digital signal processors (DSP)devices, digital signal processing (DSPD), programmable logic devices (PLD), programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, electronic devices, other electronic modules designed to perform the functions described here, or combinations thereof. Different processors at the point 410 access figure 4 can also be embodied using one or more hardware processors. Similarly, the various processors in the terminal 450 of the user can be embodied with one or more hardware processors.*

*For the variant embodiment using firmware or software, the methods of calculating the weighting factor of the filter can be implemented with modules (e.g., procedures, functions, and so on)that perform the functions described here. Software codes may be stored in the memory module (e.g. module 432 or 482 memory figure 4) and can execute the process is the PR (e.g.,
the processor 430 or 480). The memory module may be implemented within the processor or external to your processor.*

*The above description of the disclosed embodiments is provided to enable a person skilled in the art to use the present invention. Various modifications of these options embodiments will be clear to a person skilled in the art, and the General principles defined herein may be applied to other embodiments without going beyond the essence or scope of the invention. Thus, the present invention is not intended to limit the variations of the embodiments described herein, but it should be understood in its broadest scope, which corresponds to the disclosed principles here and new properties.*

*1. A device for obtaining matrix spatial filter that containsthe first processor which during operation receives the response matrix of the channel; anda second processor which during operation has many turns of the intermediate matrix for the iteration of the first matrix and the second matrix for pseudouridines matrix of the channel response and to obtain a matrix spatial filter based on the first and second matrices.*

*2. The device according to claim 1, in which the second processor during operation initializes the first matrix to e is iniciou matrix and for initializing the second matrix,
containing zeroes.*

*3. The device according to claim 1, wherein the second processor performs an operation for each of the multiple rows of the matrix of the channel response for the formation of the intermediate matrix based on the first matrix, the second matrix and vector line response channel and to perform at least two turns of the intermediate matrix to zero, at least two elements of the intermediate matrix.*

*4. The device according to claim 1, wherein the second processor performs the operations to perform the Givens rotation for each set of turns, to reset the intermediate element of the matrix containing the first and second matrix.*

*5. The device according to claim 1, in which pseudobradya matrix is used to obtain the matrix spatial filter with minimum mean square error (MMSE).*

*6. The device according to claim 1, wherein the second processor performs the operations to perform at least two turns for each of a large number of iterations on the basis of the following equation:where*

__P__

_{i}

^{1/2}represents the first matrix for the i-th iteration,

__B__

_{i}represents the second matrix for the i-th iteration,

__h__

_{i}represents the i-th row of the matrix of the channel response,

__e__

_{i}is a vector with unit for the i-th element and zeros for Stalin the x elements,

__k__

_{i}and

__l__

_{i}represent a minor vectoris a scalar value,

__0__is a vector containing all zeros, and

__θ__

_{i}represents a transformation matrix representing at least two turns for the i-th iteration.

*7. The device according to claim 1, in which the second processor during operation performs operations to obtain the matrix spatial filter based on the following equation: M=P^{1/2}·B^{H},whereMis a matrix spatial filter,P^{1/2}represents the first matrixInis a second matrix, and H represents conjugate transposition.*

*8. A method of obtaining a matrix spatial filter containing phases in whichperform many turns of the intermediate matrix for the iteration of the first matrix and the second matrix for pseudouridines matrix for the matrix of the channel response; andget the matrix spatial filter based on the first and second matrices.*

*9. The method according to claim 8, in which the execution of many turns holds for each of multiple iterations of stages, which form an intermediate matrix based on the first matrix, the second matrix and the vector of response string channel, matched with the appropriate row of the matrix channel response,
andperform at least two turns of the intermediate matrix to zero, at least two elements of the intermediate matrix.*

*10. The method according to claim 8, in which the execution of many turns contains the steps which perform the Givens rotation for each set of turns, to reset one element of the intermediate matrix containing the first and second matrix.*

*11. A device for obtaining matrix spatial filter that containsthe tool to perform many turns of the intermediate matrix for the iteration of the first matrix and the second matrix, for pseudouridines matrix for the matrix of the channel response; andmeans for obtaining matrix spatial filter based on the first and second matrices.*

*12. The device according to claim 11, in which the tool perform many turns holds for each of many iterationsthe means of forming the intermediate matrix based on the first matrix, the second matrix and vector line channel response corresponding to the row of the matrix of the channel response, andthe tool to perform at least two turns of the intermediate matrix to zero, at least two elements of the intermediate matrix.*

*13. The device according to claim 11, in which the tool perform many turns contains a tool for the implementation of the Givens rotation for each joint is the first of many turns,
to reset one element of the intermediate matrix containing the first and second matrix.*

*14. A device for obtaining matrix spatial filter that containsthe first processor that performs operations to obtain a matrix of the channel response; anda second processor that performs operations to obtain a first matrix based on the matrix of the channel response, for decomposing the first matrix to obtain a unitary matrix and a diagonal matrix and to obtain a matrix spatial filter based on the unitary matrix, the diagonal matrix and the matrix of the channel response.*

*15. The device according to 14, in which the second processor performs the operations to perform the decomposition on the eigenvalues of the first matrix to obtain a unitary matrix and a diagonal matrix.*

*16. The device according to 14, in which the second processor performs the operations to perform a variety of Jacobi rotations for the first matrix to obtain a unitary matrix and a diagonal matrix.*

*17. The device according to 14, in which the second processor performs operations to obtain a first matrix based on the following equation:,where*

__X__represents the first matrix

__H__is a matrix of the channel response,

__I__represents the identity matrix,presented yet a noise variance, and H represents conjugate transposition,

*18. The device according to 14, in which the second processor performs operations to obtain the matrix spatial filter based on the following equation:,where*

__M__is a matrix spatial filter,

__H__is a matrix of the channel response,

__V__is a unitary matrix

__∧__is a diagonal matrix, and H represents conjugate transposition.

*19. A method of obtaining a matrix spatial filter containing phases in whichreceive a first matrix based on the matrix of the channel response;perform the decomposition of the first matrix to obtain a unitary matrix and a diagonal matrix; andget the matrix spatial filter based on the unitary matrix, the diagonal matrix and the matrix of the channel response.*

*20. The method according to claim 19, in which the decomposition of the first matrix contains the stage at whichperform the decomposition on its own values of the first matrix to obtain a unitary matrix and a diagonal matrix.*

*21. The method according to claim 19, in which the decomposition of the first matrix contains the stage at whichperform a variety of Jacobi rotations for the first matrix to obtain a unitary matrix and a diagonal matrix.*

*22. A device for obtaining matrix PR the spatial filter,
containsmeans for obtaining a first matrix based on the matrix of the channel response;means of decomposition of the first matrix to obtain a unitary matrix and a diagonal matrix; andmeans for obtaining matrix spatial filter based on the unitary matrix, the diagonal matrix and the matrix of the channel response.*

*23. The device according to item 22, in which the means of decomposition of the first matrix containsthe means of performing decomposition on its own values of the first matrix to obtain a unitary matrix and a diagonal matrix.*

*24. The device according to item 22, in which the means of decomposition of the first matrix containsthe tool perform many of Jacobi rotations for the first matrix to obtain a unitary matrix and a diagonal matrix.
*

*
Method of information transfer in fibre optic system of data transfer with spectral multiplex // 2400933
Transmission device, data transmission method, reception device and data reception method // 2396715
Controlled optical add/drop multiplexer // 2390099
Controlled optical multiplexer // 2389138
Method for quasi-coherent receipt of multi-beam signal and device for realization of said method // 2248674
Method and device for digital communication // 2249918
Deep paging method // 2260912
*

**Same patents:**

FIELD: information technologies.

SUBSTANCE: at transmitting side prior to conversion into optical signal, spatial switching of channels sending electric signals is carried out, based on change of switching matrix by available law, using random number as an argument, which is generated in time intervals Δt, defined by speed of information transfer in channels, while switching matrix changes, synchronising control signals are generated, comprising information on random number used for switching in this time interval, and sent along N+1 channel to receiving side, where after optical-electronic conversion initial signals are restored in channels, by realisation of reverse operation of channels switching according to the same law with application of synchronising control signals for according time intervals.

EFFECT: enhanced protection of information.

2 dwg

FIELD: information technologies.

SUBSTANCE: protocol of wireless communication of game terminal is used by terminal for peripheral devices in TDMA-system with transfer of wideband signals by method of frequency jumps to provide for possibility of simultaneous mutual transfer of voice and data between multiple units of wireless auxiliary equipment and game terminal. Protocol represents certain time intervals for transfers of ascending information stream and descending information stream, and also time intervals of repeated transfer to provide for medium stable to failures with minimum delay.

EFFECT: provides for simultaneous interaction of multiple wireless devices with game device and correction of errors with minimum delay, profitability and efficiency.

20 cl, 10 dwg, 1 tbl

FIELD: physics.

SUBSTANCE: device has an optical power coupler, first, second and third collimating microlenses, a holographic photoplate, a nonlinear threshold device, a semi-transparent mirror, an array of detectors and a reference optical radiation source. One percent output of the optical power coupler is connected to a single-mode optical fibre, whose output coincides with the front focal plane of the first microlens, the rear focal plane of which coincides with the front plane of the holographic photoplate whose rear plane coincides with the front focal plane of the second microlens, the rear focal plane of which coincides with the input of the nonlinear threshold device, whose output is optically connected by the semi-transparent mirror to the third microlens, in whose focal plane the array of detectors lies. Radiation from the source and radiation of the useful signal from the output of the first microlens forms a interference pattern in the plane of the holographic photoplane.

EFFECT: higher efficiency and methodical reliability of continuous monitoring linear channels of fibre-optic transmission systems with wavelength-division multiplexing and fibre-optic amplifiers.

2 dwg

FIELD: information technologies.

SUBSTANCE: method and device are proposed, which are intended to multiplex multiple feedback channels of feedback line in integrated systems with multiple carriers in wireless networks with multiple carriers. MAC index assignment is facilitated for feedback channels of feedback line in any carrier of direct feedback line with application of traffic channel assignment (TCA) message.

EFFECT: provides multiplexing of channels.

39 cl, 20 dwg

FIELD: physics.

SUBSTANCE: invention discloses a transmission device which includes a multiplexing unit which can multiplex a common pilot channel, a common control channel and a common data channel; a character generating unit made with possibility of inverse Fourier transformation of the multiplexed signal in order to generate a character; and a transmission unit which can transmit the generated character. The multiplexing unit is made with possibility of multiplexing the common control channel which contains control information necessary for demodulating the common data channel carrying useful information, and the common pilot channel which is designed for use by multiple users in the frequency domain, as well as multiplexing the common data channel in the time domain relative the said common pilot channel and the common control channel.

EFFECT: provision for support and increase in channel transmission efficiency even if the number of characters included in the transmission time interval can be reduced.

19 cl, 33 dwg

FIELD: information technologies.

SUBSTANCE: method includes preparation of multiple subframes for multiple antennas, besides one subframe includes multiple OFDM-symbols in time area and multiple subcarriers in frequency area, at the same time reference signal in one subframe and reference signal in the other subframe are arranged so that reference signals do not overlap in a single subframe, besides reference signal of one subframe and reference signal of the other subframe are serially arranged in adjacent OFDM-symbols or in adjacent subcarriers.

EFFECT: improved quality of information transfer.

11 cl, 91 dwg

FIELD: information technology.

SUBSTANCE: in a radio transmitting device (100), the part (113) for solving the ratio repetition/total structures controls the number of constellation diagrams to be used by the modulating part (102), and also controls the number of copies of the repetition part (103) such that, the product of the number of total structures to be used by the modulating part (102), specifically the number of characters sent, which are subject to generation, and the number of characters sent, which are duplicated by the repetition part (103), is equal to the number of characters sent, which are generated from one-off transmission data from the control information extraction part (112).

EFFECT: gaining from diversity in the frequency domain.

8 cl, 8 dwg

FIELD: physics.

SUBSTANCE: invention is a method for a controlled selective adding/dropping a channel in a fibre-optic communication system with wavelength-division multiplexing of 2^{N} channels whose optical frequencies can be adjusted, but the spectral interval Δv between neighbouring channels is contestant, through controlled optical add/drop multiplexers (70, 80, 90), which include multi-stage structures of differently connected optical filters ({75-i}, {85-i}, {95-i}), having devices for controlled adjustment of their transfer constants. The optical filters used are asymmetrical single-stage (20), two-stage (40) and/or multi-stage (60) Mach-Zehnder interferometers.

EFFECT: adding/dropping a desired channel from an optical signal by controlling spectral characteristics of filter stages of the multiplexer.

22 cl, 12 dwg, 1 tbl

FIELD: physics.

SUBSTANCE: controlled optical multiplexer includes a multiple-step structure of filters having elements for controlled adjustment of transfer constants. The optical filters used are asymmetrical Mach-Zehnder interferometres: single-stage and/or two-stage, and/or multistage. Electro-optical or thermo-optical phase-shift devices serve for controlled adjustment of transfer constants of the optical filters. The multiplexer can be made on integrated-optical technology in form of a monolithic solid-state device.

EFFECT: controlled multiplexing of channels in the fibre optic communication system with wavelength-division multiplexing of channels, whose optical frequencies can be adjusted for constant spectral interval neighbouring channels Δν.

7 cl, 9 dwg, 2 tbl

FIELD: physics.

SUBSTANCE: invention is designed for fibre optic lines of optical ATS (OATS) for broadband city and inter-city video-telephone, multimedia and telephone communication. The multiplexing device has an optical channel on several repeatedly used prisms which is common for all or for a large number of fibre optic lines of city and intercity OATS. In a subscriber access system with capacity of up to 80000 channels, one device will multiplex into a main line with average density of up to 500-1000 channels from terminal lines with low density Δλ=1 nm, and a terminal device will multiplex into a line with low density of up to 50 channels from subscriber terminals.

EFFECT: design of optical multiplexing devices which are easy to adjust to any range from visible to infrared waves and to any wavelength in that range.

3 cl, 4 dwg, 3 tbl

FIELD: radio engineering.

SUBSTANCE: suggested algorithm for quasi-coherent receipt of multi-beam signal with continuous pilot signal is based on algorithm, adaptive to freeze frequencies, for estimation of complex skirting curve, which uses both pilot and information signal. Use of information symbols for estimation of complex skirting curve allows, with weak pilot signal, to substantially increase precision of estimation of said curve and, as a result, significantly decrease possible error of information parameters estimation.

EFFECT: higher interference resistance.

2 cl, 10 dwg

FIELD: communications.

SUBSTANCE: system transmitter with orthogonal compaction with frequency separation sets in common standard array of linear block codes (n, k) a vector, capable of minimization of relation of pike and average powers, as leader of adjacent class and transfers sequence with minimal relation of pike and average powers by adding leader of adjacent class to n-digit code word, matching k-digit data, and forming vectors. Then receiver of system can easily restore source transferred signal with use of received vector syndrome, if receiver determines data, related to syndrome and leader of adjacent class.

EFFECT: higher efficiency.

6 cl, 5 dwg

FIELD: mobile communications.

SUBSTANCE: method includes setting a codes set having certain properties, consisting of Q-numbered code words having length M, including symbols from set of Q short codes. First property is, that none cyclic displacement of code word produces correct code word as a result. Other properties are presence of mutually unambiguous match between long code message and correct code word. In case of noise and interference decoder, at acceptable complication levels, provides for search of both random displacement (in such a way determining frame synchronizations) and transmitted code word (i.e. long code indication message related thereto).

EFFECT: higher efficiency.

5 cl, 22 dwg, 5 tbl

FIELD: communication systems.

SUBSTANCE: device has block for synchronizing clock speeds, input displacement register, commutator, intermediate storage register, memory block, comparison block, threshold block, record control block, count displacement register, reading control block, synchronization signals forming block, commutator, interference level measuring device, additional memory block, channels counter, communication channel.

EFFECT: higher interference resistance.

1 dwg

FIELD: radio engineering.

SUBSTANCE: implementation of soft decisions generating method in case of receiving multi-beam signal allows substantial decrease of complication level of receiver, because it contains lesser amount of one-beam receivers, than a prototype.

EFFECT: increased interference resistance and increased capacity of communications system during receiving of multiple-beam signal due to efficient periodic procedure of renewal of multiple-beam signal components when receiving estimates of components search, also considering mutual influence of signal components.

6 cl, 13 dwg

FIELD: communications engineering.

SUBSTANCE: proposed band selection method for mobile orthogonal frequency division multiple access communication system includes following steps to classify procedures of band selection between sending end and receiving ends with respect to original band selection process, passband width selection process, and periodic band selection process: determination of source band selection code (SC)number for source band selection process; SC number to request passband width for passband width request selection process and periodic SC number for periodic band selection process; determination of periodic SC deferment value in compliance with periodic SC number, and transmission of source SCs, passband width request SC, periodic SCs, and periodic SC deferment values on receiving ends.

EFFECT: minimized time for band selection access.

22 cl, 3 dwg, 4 tbl

FIELD: communications engineering.

SUBSTANCE: proposed band selection method for mobile orthogonal frequency division multiple access communication system includes following steps to classify procedures of band selection between sending end and receiving ends with respect to original band selection process, passband width selection process, and periodic band selection process: determination of source band selection code (SC)number for source band selection process; SC number to request passband width for passband width request selection process and periodic SC number for periodic band selection process; determination of periodic SC deferment value in compliance with periodic SC number, and transmission of source SCs, passband width request SC, periodic SCs, and periodic SC deferment values on receiving ends.

EFFECT: minimized time for band selection access.

22 cl, 3 dwg, 4 tbl

FIELD: transmission of information, applicable in cellular and satellite communication systems.

SUBSTANCE: the receiver has two frequency converters, two quadrature correlators, phase error filter, controlled oscillator, two control elements, error delay filter, controlled clock oscillator, reference signal generator, two multipliers, two analog-to-digital converter, delay line, demodulator, decoder, two matched filters, phase shifter.

EFFECT: enhanced power efficiency of the communication system.

2 cl, 3 dwg

FIELD: communications engineering.

SUBSTANCE: stationary wireless access system has, as a rule, user's room equipment unit connected through Ethernet interface to personal computer or to local network and base station unit connected through Ethernet interface to network. User's room equipment unit as such is easily installed by user while base station unit is usually mounted on mast at distance of 1 to 5 miles (1/6 to 8 km) from user's room equipment unit. Both the latter and base station unit usually incorporate integrated transceiver/data switch that provides for radio-frequency communications in the range of 2.5 to 2.686 GHz. Multiplexing with orthogonal frequency division of signals is used during transmission between user's room equipment units and base station ones over ascending and descending lines.

EFFECT: provision for using outwardly accessible antenna affording transmission within line-of-sight range.

70 cl, 19 dwg

FIELD: communication systems.

SUBSTANCE: method includes forming paging channel message combined with Walsh series with length not less than 2m, which is then sent at data transfer speed below 480 bits per second. By transmitting message of paging channel at low data transfer speed and integration of gathered energy message can penetrate into buildings and other structures or environments with high level of fading.

EFFECT: higher efficiency.

4 cl, 6 dwg