System and method for channel state related feedback in multi-user multiple-input-multiple-output systems

• US 9,985,708 B2
• Filed: 01/13/2015
• Issued: 05/29/2018
• Est. Priority Date: 05/04/2010
• Status: Active Grant

• Current Assignee: Celeno Communications, Ltd.
• Original Assignee: Celeno Communications, Ltd.
• Inventors: Shapira, Nir, Shany, Yaron
• Primary Examiner(s): Tayong, Helene
• Application Number:
  US14/595,819
• Publication Number:
  US 20150124900A1
• Time in Patent Office: 1,232 Days
• Field of Search: 375267, 375259
• CPC Class Codes: H04B 7/0452 Multi-user MIMO systems
• CPC Class Codes: H04B 7/0617 for beam forming
• CPC Class Codes: H04B 7/0626 Channel coefficients, e.g. channel state information [CSI]
• CPC Class Codes: H04B 7/0658 Feedback reduction

Abstract

System and method for dimension reduction and for channel and interference condition feedback in a Multi-User Multiple-Input-Multiple-Output (MU MIMO) wireless communication system. The method for dimension reduction includes determining a number of virtual antennas, v_k, for beamformees pertaining to a multi user (MU) transmission group, reducing the dimension of said matrix by selecting a sub-set of antennas or by Eigen mode selection and sending a reduced dimension candidate transmit beamforming matrix or an effective channel matrix to a beamformer. The method for channel and interference condition feedback Interference condition includes sending to a beamformee metric indicative of the interference level from other streams.

Claims

1. A method for dimension reduction in Multi-User Multiple-Input-Output (MIMO) wireless communication systems, the method comprising:

sending by a beamformer to each beamformee, a reduced dimension value of a candidate transmit beamforming matrix as part of a sounding exchange, where said reduced dimension value is smaller than a maximum N_r×

min(n_k, N_r), wherein N_r is a number of antennas of said beamformer, and n_k is a number of antennas of each said beamformee;

receiving by each said beamformee said reduced dimension value; and

sending by each said beamformee at least one matrix related to a channel sounding to said beamformer, said matrix has a dimension equal to said reduced dimension value,

wherein the channel sounding is defined between the beamformer and each said beamformee, wherein said matrix is based on the channel matrix of said channel sounding having a maximum dimension.

2. The method of claim 1, wherein said reduced dimension candidate transmit beamforming matrix is based on a V matrix from a Singular Value Decomposition (SVD) of a matrix selectable from a list comprising:

a channel matrix and an effective channel matrix.

3. The method of claim 2, wherein said reduced dimension candidate transmit beamforming matrix is sent together with a corresponding SNR vector which conveys per-stream SNR estimation.

4. The method of claim 1, further comprising:

reducing the dimension of said matrix by selecting a sub-set of antennas.

5. The method of claim 4, wherein said sub-set is selected according to Received Signal Strength Indicator (RSSI).

6. The method of claim 1, further comprising:

reducing the dimension of said matrix by Eigen mode selection.

7. The method of claim 1, further comprising:

deducing a final receive (RX) beamforming matrix from a multi-user (MU) transmission during reception of said transmission.

8. A method for dimension reduction in Multi-User Multiple-Input-Output (MIMO) wireless communication systems, the method comprising:

sending by a beamformer to each beamformee, a reduced dimension value of an effective channel matrix as part of a sounding exchange, where said reduced dimension value is smaller than a maximum N_r×

n_k, where N_r is a number of antennas of said beamformer, and n_k is a number of antennas of each said beamformee;

receiving by each said beamformee said reduced dimension value; and

sending by each said beamformee at least one matrix related to a channel sounding to said beamformer, said matrix has a dimension equal to said reduced dimension value,

wherein the channel sounding is defined between the beamformer and each said beamformee, wherein said matrix is based on the channel matrix of said channel sounding having a maximum dimension.

9. A method for dimension reduction in Multi-User Multiple-Input-Output (MIMO) wireless communication systems, the method comprising:

sending a matrix related to a channel sounding by each beamformee to a beamformer, said matrix has a dimension that is smaller than a maximum dimension by;

obtaining by said each beamformee a reduced dimension v_k sent by said beamformer as part of a sounding exchange;

obtaining by said each beamformee channel matrix Ĥ

_k;

performing by said each beamformee, Singular Value Decomposition (SVD) of said channel matrix Ĥ

_k;

Ĥ

_k=UDV*;

composing by said each beamformee, a matrix Ũ

consisting of the v_k columns of U corresponding to largest singular values;

choosing by said each beamformee, a first stage receive (RX) beamforming matrix, B_k⁽¹⁾, to be a conjugate transpose of a matrix based on Ũ

; and

calculating by said each beamformee, an effective channel matrix by multiplying said channel matrix by said first stage RX beamforming matrix,

wherein said calculating is executed by a computer processor.

10. The method of claim 9, wherein B_k⁽¹⁾=Ũ

*.

11. A method for dimension reduction of a channel matrix sent by each beamformee in Multi-User Multiple-Input-Output (MIMO) wireless communication systems, the method comprising:

determining a number of virtual antennas, v_k, for each said beamformee pertaining to at least one multi user (MU) transmission groups;

conveying said number of virtual antennas, v_k, from a beamformer to each said beamformee, wherein said number of virtual antennas v_k<

n_k such that N_r×

v_k indicates a size of the reduced dimension channel matrix sent by each said beamformee, where N_r is a number of antennas of said beamformer, and n_k is a number of antennas of said beamformee;

sounding channels between the beamformer and each said beamformee;

calculating reduced dimension channel matrices for said channels; and

designing a transmit matrix based on the reduced dimension channel matrices,

wherein said calculating is executed by a computer processor.

12. The method of claim 11, wherein said determining a number of virtual antennas, v_k is done such that a total number of virtual antennas, summed on said beamformees, is not bigger than the number of beamformer antennas, N_r.

13. The method of claim 11, further comprising:

conveying said number of virtual antennas, v_k to each said beamformee as part of a sounding exchange.

14. The method of claim 11, further comprising:

sounding each said beamformee for matrices related to channel state information (CSI), wherein a dimension of said matrices is reduced to v_k.

15. The method of claim 14, further comprising:

designing transmit (TX) beamforming matrix based on said matrices, using a TX beamforming matrix design method selectable from a list comprising;

zero forcing and block diagonalization.

16. The method of claim 15, wherein said reduced dimension candidate transmit beamforming matrix is based on a V matrix from a Singular Value Decomposition (SVD) of a matrix selectable form a list comprising:

a channel matrix or an effective channel matrix.

17. The method of claim 14, wherein said matrices are reduced dimension candidate transmit beamforming matrices.