MMSE method and system

Abstract

Methods and apparatus for reducing complexity of MMSE computations in a receiver are disclosed. According to these methods and apparatus, a first MMSE matrix is computed for a first sub-carrier in a pre-defined group of sub-carriers of a received transmission frame at a receiver. The first MMSE is based on a pilot signal of the first sub-carrier. The first MMSE matrix may then be phase shifted to compute a second MMSE matrix for a second sub-carrier in the group, the phase shifting based on a variation in column and row between the pilot signal of the first sub-carrier and a symbol of the second sub-carrier of the transmission frame.

Description

FIELD OF THE INVENTION

The present invention relates to MMSE (Minimum Mean Squared Error) computations in OFDM (Orthogonal Frequency Division Multiplexing) wireless communications systems using MIMO (Multiple In Multiple Out) transmissions over a plurality of antennas.

BACKGROUND OF THE INVENTION

In wireless communications networks, the MMSE algorithm may be used to reduce the effect of interference between MIMO antenna streams. When using OFDM/OFDMA (Orthogonal Frequency Division Multiplexing/Orthogonal Frequency Division Multiple Access) in WiMAX transmissions, each frame 10 is divided into a plurality of sub-carriers 12, defined by frequency and symbols over time 14, as shown schematically in FIG. 1. In order to estimate the channel for purposes of data processing, pilot signals 16 are transmitted together with the data. Since both receiver and transmitter know the pilot signal, the channel can be estimated and the estimation can be used to reduce interference for the received data.

One example of a group of sub-carriers in a frame is a WiMAX tile 18, a unit formed of three symbols by four subcarriers, typically with one pilot in each corner of the tile.

In WiMAX tiles, channel variations are typically phase shifts per column combined with phase shifts per row—that is, a combination of time related and frequency related phase-shifts. In conventional methods, the MMSE calculation is performed in the receiver several times, once for each pilot of each tile, involving a substantial computational cost. As bandwidth increases, the number of tiles increases and the quantity of computations increases still further.

Accordingly, there is a long felt need for a method of reducing the complexity of MMSE computations per group of sub-carriers, that provides satisfactory results but requires substantially fewer computations than the conventional channel estimation method.

SUMMARY OF THE INVENTION

The present invention relates to a method that significantly reduces MMSE calculations in the receiver, while providing mitigation of interference as provided by conventional MMSE methods.

The present invention substantially reduces MMSE complexity for any given, moderate sized time×frequency rectangle of OFDM/A sub-carriers (e.g., a few consecutive or adjacent WiMAX tiles) comprising data and pilots sub-carriers, whenever the size of this rectangle is small enough that channel variations within the rectangle are phase shifts per column combined with phase shifts per row. The present invention provides a method by which an MMSE matrix V is computed once per pre-defined group of sub-carriers, preferably such a rectangle, and then the sub-carrier MMSE matrix for any other sub-carrier in that group is computed by phase shifts per column combined with phase shifts per row at V, which corresponds to the column/row phase shifts of the respective channel.

That is, instead of computing an MMSE matrix a number of times per group of sub-carriers, one MMSE matrix is computed per group and phase shifts are carried out per sub-carrier. In practice, when utilizing the method of the invention, only about a few percent of the original MMSE related computations are required.

For purposes of the present invention, the pre-defined group of sub-carriers can be any selected group of adjacent or consecutive sub-carriers. Thus, the group can be one WiMAX tile, several adjacent WiMAX tiles, an LTE resource block, or any other pre-defined group.

DETAILED DESCRIPTION OF THE INVENTION

An effective reduction of the effects of interference between MIMO streams can be achieved by the computation of an MMSE matrix for each tone (i.e., subcarrier). According to the present invention, the MMSE calculation is performed for only one tone in each pre-defined group of sub-carriers. The MMSE calculation in a receiver for a single tone is as follows.

Take an N×M complex channel matrix H=(h_ij)_{i=1, . . . , N,j=1, . . . M} of one sub-carrier in a pre-defined group of sub-carriers. The corresponding N×M MMSE matrix is given by:V_H≡H·(H*H+σ²·I)⁻¹.where σ² is the noise variance and I is the M×M unit matrix.

Instead of performing the complete MMSE computation on other tones of the chosen group, it is sufficient to proceed with much simpler and fewer computations, as follows. Consider another subcarrier in that group. There are complex scalars that represent the phase-shifts with respect to that subcarrier, e₁, e₂, . . . e_M, f₁, f₂, . . . f_N satisfying |e_j|=1, |f_i|≡1 (j=1, . . . , M, i=1, . . . , N) for which the channel matrix that corresponds to that subcarrier is given by:G=(f_i·h_ij·e_j)_{i=1, . . . , N,j=1, . . . , M.} That is, G is formed by combined “phase-shift” of H columns and rows. This relationship between channel matrix H and G can be expressed in the following form. Define the unitary diagonal matrices E & F that represent the phase shifts:E=diag(e₁,e₂, . . . e_M)F=diag(f₁,f₂, . . . f_N).The channel matrix G can thus be expressed by:F·H·E=(f_i·h_ij·e_j)_{i=1, . . . , N,j=1, . . . , M}=G. Since E and F are unitary, the following general proposition would be applicable:Proposition.

If U is any M×M unitary and V is any N×N unitary, thenV_V·H·U=V·V_H·U. Proof.

$\begin{array}{c}{V}_{V·H·U}=\left(V·H·U\right)·{\left({\left(V·H·U\right)}^{*}\left(V·H·U\right)+{\sigma }^2·I\right)}^{-1}\\ =\left(V·H·U\right)·{\left(U^{*}·H^{*}·V^{*}·VH·U+{\sigma }^2·I\right)}^{-1}\\ =\left(V·H·U\right)·{\left(U^{*}·\left(H·H+{\sigma }^2·I\right)·U\right)}^{-1}\\ =\left(V·H·U\right)·\left(U^{*}·{\left(H·H+{\sigma }^2·I\right)}^{-1}·U\right)\\ =V·H·{\left(H·H+{\sigma }^2·I\right)}^{-1}·U=V·V_H·U◆\end{array}$ Thereby, since E and F are unitary, it holds that:V_F·H·E=F·V_H·E.

In practice, in each such selected group, once the MMSE matrix, V_H, of one sub-carrier with a channel H, is computed, then for any other subcarriers in this group, the corresponding channel is G=F·H·E and, hence, the computation of its MMSE matrix, V_F·H·E, can be done by the above simple and low complexity phase-shift form:V_F·H·E=F·V_H·E=(f_i·[V_H]_ij·e_j)_{i=1, . . . , N,j=1, . . . , M} in which e_j multiplies (i.e. phase shift) the j-column and f_i the i-row of V_H.

It will be appreciated that the above method can be adapted by those skilled in the art for use in LTE, performing one MMSE computation for each resource block or other pre-defined group of sub-carriers.

It will be appreciated that many variations, modifications and other applications of the invention may be made.

Claims

1. A method of computing Minimum Mean Squared Error (MMSE) matrices to reduce interference between multiple input multiple output (MIMO) streams in a wireless network, the method comprising: computing, by a receiver, a first MMSE matrix for a first sub-carrier in a pre-defined group of sub-carriers in a received Orthogonal Frequency Division Multiplexing/Orthogonal Frequency Division Multiple Access (OFDM/OFDMA) transmission frame, said first MMSE matrix based on a pilot signal of said first sub-carrier; andphase-shifting said computed first MMSE matrix at said receiver to compute a second MMSE matrix for a second sub-carrier in said predefined group of sub-carriers, said phase shifting based on a variation in column and row between said pilot signal of said first sub-carrier and a symbol of said second sub-carrier of said transmission frame.

2. The method according to claim 1, wherein said phase shifting said computed first MMSE matrix to compute said second MMSE matrix is performed as: VF·H·E=F·VH·E=(fi·[VH]ij·ej)i=1 . . . , N,j=1, . . . , M

3. The method according to claim 2, wherein e1, e2, . . . eM, and f1, f2, . . . fN comprise complex scalars.

4. The method according to claim 2, wherein |ej|=1 for j=1, . . . , M, and |fi|=1 for i=1, . . . , N.

5. The method according to claim 1, further comprising: determining a per-column phase shift associated with said transmission frame; anddetermining a per-row phase shift associated with said transmission frame;wherein said phase shifting is further based on said per-column phase shift and said per-row phase shift.

6. The method according to claim 1, further comprising: performing one MMSE calculation for the transmission frame to compute said first MMSE matrix; andcomputing at least one separate MMSE matrix for a plurality of other subcarriers of said transmission frame by phase shifting said computed first MMSE matrix.

7. The method according to claim 6, further comprising: computing at least one separate MMSE matrix for each of other the subcarriers of said transmission frame by phase shifting said computed first MMSE matrix.

8. The method according to claim 1, wherein said transmission frame comprises an LTE resource block.

9. The method according to claim 1, wherein said transmission frame comprises a WiMAX tile.

10. An apparatus for computing Minimum Mean Squared Error (MMSE) matrices to reduce interference between multiple input multiple output (MIMO) streams, comprising: means for computing a first MMSE matrix for a first sub-carrier in a pre-defined group of subcarriers in a received Orthogonal Frequency Division Multiplexing/Orthogonal Frequency Division Multiple Access (OFDM/OFDMA) transmission frame, said first MMSE matrix based on a pilot signal of said first sub-carrier; andmeans for phase-shifting said computed first MMSE matrix to compute a second MMSE matrix for a second sub-carrier in said pre-defined group of subcarriers, said phase-shifting based on a variation in column and row between said pilot signal of said first sub-carrier and a symbol of said second sub-carrier of said transmission frame.

11. The apparatus according to claim 10, wherein said phase shifting said computed first MMSE matrix to compute said second MMSE matrix is performed as: VF·H·E=F·VH·E=(fi·[VH]ij·ej)i=1 . . . , N,j=1, . . . , M in which VH is said first MMSE matrix of size N×M; VF·H·E is said second MMSE matrix of size N×M; e1, e2, . . . eM, f1, f2, . . . fN are scalars that represent said phase shifting; E=diag(e1, e2, . . . eM), and F=diag(f1, f2, . . . fN).

12. The apparatus according to claim 11, wherein e1, e2, . . . eM, and f1, f2, . . . fN comprise complex scalars.

13. The apparatus to claim 11, wherein |ej|=1 for j=1, . . . , M, and |fi|=1 for i=1, . . . , N.

14. The apparatus according to claim 10, further comprising: means for determining a per-column phase shift associated with said transmission frame; andmeans for determining a per-row phase shift associated with said transmission frame;wherein said phase shifting is further based on said per-column phase shift and said per-row phase shift.

15. The apparatus according to claim 10, further comprising: means for performing one MMSE calculation for the transmission frame to compute said first MMSE matrix; andmeans for computing at least one separate MMSE matrix for a plurality of other subcarriers of said transmission frame by phase shifting said computed first MMSE matrix.

16. The apparatus according to claim 15, further comprising: means for computing at least one separate MMSE matrix for each of other the subcarriers of said transmission frame by phase shifting said computed first MMSE matrix.

17. The apparatus according to claim 10, wherein said transmission frame comprises an LTE resource block.

18. The apparatus according to claim 10, wherein said transmission frame comprises a WiMAX tile.