METHOD AND DEVICE FOR WIRELESS COMMUNICATION USING MIMO TECHNIQUES

• US 20090143017A1
• Filed: 12/04/2007
• Published: 06/04/2009
• Est. Priority Date: 12/04/2007
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: DesignArt Networks Limited (Qualcomm, Inc.)
• Inventors: DOR, AVNER, TOUBOUL, ASSAF, BARAK, OZ
• Granted Patent: US 7,970,355 B2
• Time in Patent Office: Days
• US Class Current: 455/65
• CPC Class Codes: H04B 7/0413 MIMO systems
• CPC Class Codes: H04B 7/0417 Feedback systems
• CPC Class Codes: H04B 7/0634 Antenna weights or vector/matrix coefficients
• CPC Class Codes: H04B 7/0854 using error minimizing algorithms, e.g. minimum mean squared error [MMSE], "cross-correlation" or matrix inversion

Abstract

The present invention describes a method of closed loop MIMO communication utilizing implicit or explicit channel state information (CSI) at the transmitter and the receiver. The transmitter performs linear pre-processing (for example, QR decomposition or bi-diagonal decomposition or Jacobi rotations, and/or sporadic SVDs) on a channel matrix, and the receiver mitigates the mutual interference between the streams by performing MMSE processing on the received signals. The MMSE matrix is computed with respect to the processed channel that may estimated by the receiver through preprocessed pilot signals. The transmitters preprocessing is of much lesser cost and complexity than full SVD.

Claims

1. A method for performing closed loop MIMO communication between two transceivers, the method comprising:

performing sub-optimal linear unitary preprocessing of transmission signals in one of said transceivers, in transmission mode, for transmission of at least two MIMO streams, said linear preprocessing being computed through QR decomposition, or bi-diagonal decomposition and/or at least one Jacobi rotation of a channel related matrix; and

performing MMSE processing on received signals in a second of said transceivers in a receiving mode, to mitigate mutual interference between said MIMO streams, said MMSE processing including computation of an MMSE matrix with respect to said processed channel.

2. The method according to claim 1, the method comprising:

performing reduced complexity decomposition of a channel matrix to a product of a unitary matrix (or matrices) and another matrix in one of said transceivers, in transmission mode;

transmitting signals processed by one or more of these calculated unitary matrices by said transceiver in transmission mode; and

receiving said signals and processing them by an MMSE filter in a second of said transceivers, in receiving mode.

3. The method according to claim 1, wherein said second transceiver, in transmission mode:

utilizes previously received pilot signals to estimate channel matrix and/or utilizes explicit CSI previously sent by said first transceiver in transmission mode to compute channel matrix;

performs said decomposition of said channel matrix to a product of at least one unitary matrix and another matrix; and

performs said linear preprocessing of transmission signals of said second transceiver.

4. The method according to claim 1, further comprising performing SVD periodically in said first of said transceivers when in transmission mode.

5. The method according to claim 4, further comprising performing SVD periodically in said first of said transceivers when in transmission mode, on a subset of frequency sub-carriers, and performing partial and approximated SVD combined with QR decomposition on other sub-carriers, enabling reduced interference between transmitted streams.

15. The method according to claim 1, wherein said closed loop MIMO communication between two transceivers is performed during backhaul between two base stations in a wireless communications network having in-band backhaul.

6. A method for performing closed loop MIMO communication between two transceivers, the method comprising:

performing SVD in at least one of said transceivers,

said step of performing SVD including calculating a narrowed search window for eigenvalues resulting from a majorization property of a diagonal with respect to eigen-values valid in a Hermitian matrix.

16. The method according to claim 6, wherein said closed loop MIMO communication between two transceivers is performed during backhaul between two base stations in a wireless communications network having in-band backhaul.

7. A method for performing closed loop MIMO communication between two transceivers, the method comprising:

performing non-SVD linear preprocessing of transmit signals in one of said transceivers, when in transmission mode; and

performing MMSE processing on received signals in a second of said transceivers, when in receiving mode, to mitigate mutual interference between MIMO streams;

said MMSE processing including computing an MMSE matrix with respect to said processed channel.

8. A method according to claim 7 for performing closed loop MIMO communication between two transceivers, the method comprising:

performing decomposition of a channel matrix to a product of at least one unitary matrix and a triangular matrix in one of said transceivers when in transmission mode;

transmitting a signal processed by at least one of said calculated unitary matrices by said transmitter;

receiving said pre-processed transmitted signal and processing it by an MMSE filter in a second of said transceivers, in receiving mode.

9. The method according to claim 7 wherein said second transceiver, in transmission mode, utilizes previously received pilots signals to estimate channel matrix or utilizes explicit CSI previously sent by said first transceiver in transmission mode to compute channel matrix, and to perform linear preprocessing of transmission signals of said second transceiver.

10. The method according to claim 7, wherein said step of performing linear pre-processing in transmission mode includes performing QR decomposition on said channel matrix.

11. The method according to claim 7, wherein said step of performing non-SVD linear pre-processing in transmission mode includes performing bi-diagonal decomposition on said channel matrix.

12. The method according to claim 7, wherein said step of performing unitary linear pre-processing in transmission mode includes performing at least one Jacobi rotation on said channel matrix.

13. The method according to claim 7, further comprising performing SVD periodically in transmission mode.

14. The method according to claim 13, further comprising performing SVD periodically in said first of said transceivers in transmission mode, on a subset of the frequency sub-carriers, and performing partial and approximated SVD combined with QR decomposition on other sub-carriers, enabling reduced interference between transmitted streams.

17. The method according to claim 7, wherein said closed loop MIMO communication between two transceivers is performed during backhaul between two base stations in a wireless communications network having in-band backhaul.

18. A device for performing closed loop MIMO communication between two transceivers, the device comprising:

a processor in a first of said transceivers for performing, in transmission mode, sub-optimal linear unitary preprocessing of transmission signals to be transmitted as at least two MIMO streams, said linear preprocessing being computed through QR decomposition, or bi-diagonal decomposition and/or at least one Jacobi rotation of a channel related matrix; and

a processor in a second of said transceivers for performing, in reception mode, MMSE processing on signals from said first transceiver, to mitigate mutual interference between MIMO streams, said MMSE processing including computation of an MMSE matrix with respect to said processed channel.

19. The method according to claim 18, wherein said closed loop MIMO communication between two transceivers is performed during backhaul between two base stations in a wireless communications network having in-band backhaul.