CQI and rank prediction for list sphere decoding and ML MIMO receivers

• US 8,971,461 B2
• Filed: 05/25/2006
• Issued: 03/03/2015
• Est. Priority Date: 06/01/2005
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Sampath, Hemanth, Kadous, Tamer
• Primary Examiner(s): Vlahos, Sophia
• Application Number:
  US11/441,652
• Publication Number:
  US 20070010957A1
• Time in Patent Office: 3,204 Days
• Field of Search: 375/219, 375/221, 375/260, 375/262, 375/265, 375/267, 375/316, 375/347, 375/227, 375/346, 455/24, 455/69, 455/513
• US Class Current: 375/346
• CPC Class Codes: H04B 1/1027 assessing signal quality or detecting noise/interference for the received signal
• CPC Class Codes: H04B 7/0417 Feedback systems
• CPC Class Codes: H04B 7/063 Parameters other than those covered in groups H04B7/0623 - H04B7/0634, e.g. channel matrix rank or transmit mode selection
• CPC Class Codes: H04B 7/0632 Channel quality parameters, e.g. channel quality indicator [CQI]
• CPC Class Codes: H04B 7/12 Frequency diversity
• CPC Class Codes: H04L 1/0026 Transmission of channel quality indication
• CPC Class Codes: H04L 1/0656 Cyclotomic systems, e.g. Bell Labs Layered Space-Time [BLAST]
• CPC Class Codes: H04L 1/0675 characterised by the signaling
• CPC Class Codes: H04L 2025/03426 transmission using multiple-input and multiple-output channels
• CPC Class Codes: H04L 25/03242 Methods involving sphere decoding

Abstract

Systems and methodologies are described that facilitate integrating a list-sphere decoding design in a multiple input-multiple output (MIMO wireless communication environment. According to various aspects, optimal rank selection and CQI computation for an optimal rank can be performed in conjunction with a non-linear receiver, such as a maximum life (ML) MMSE receiver, a non-linear receiver with a list-sphere decoder, and the like. Optimal rank selection can be performed using a maximum rank selection protocol, a channel capacity-based protocol, or any other suitable protocol that facilitates rank selection, and CQI information can be generated based in part on effective SNRs determined with regard to a selected optimal rank.

Claims

1. A method of selecting rank of a non-linear receiver in a user device in a wireless communication environment, the method comprising:

receiving a transmission signal at a non-linear receiver;

determining an indication of capacity of the non-linear receiver for each of a plurality of possible ranks of the non-linear receiver, each rank representative of a corresponding number of independent data streams received by the non-linear receiver, wherein determining the indication of capacity for each of the plurality of possible ranks includes computing successive interference cancellation (SIC) capacity for a respective matrix generated for the each of the plurality of possible ranks; and

selecting a desired rank, of the plurality of ranks, representative of the number of the independent data streams received by the non-linear receiver, whose corresponding capacity is higher than the capacity corresponding to each other rank of the plurality of ranks.

2. The method of claim 1 wherein determining the indication of capacity includes using an effective signal-to-noise ratio.

3. The method of claim 2 wherein determining the indication of capacity includes averaging the effective signal-to-noise ratio over a plurality of tones and symbols of a frame to determine an average effective signal-to-noise ratio.

4. The method of claim 3 further comprising computing an indication of channel quality as a function of the average effective signal-to-noise ratio.

5. The method of claim 4 further comprising quantizing the indication of channel quality and feeding back the quantized indication of channel quality over a reverse link.

6. The method of claim 1 further comprising generating channel sub-matrices and evaluating the channel sub-matrices.

7. The method of claim 6 wherein evaluating the channel submatrices comprises performing respective Q-R matrix decompositions.

8. A user device in a wireless communication environment, the user device comprising:

a non-linear receiver configured to receive a transmission signal;

a processor communicatively coupled to the receiver and configured to;

determine an indication of capacity of the non-linear receiver for each of a plurality of possible ranks of the non-linear receiver, each rank representative of a corresponding number of independent data streams received by the non-linear receiver, wherein the processor configured to determine the indication of capacity for each of the plurality of possible ranks is configured to compute successive interference cancellation (SIC) capacity for a respective matrix generated for the each of the plurality of possible ranks; and

select a desired rank, of the plurality of ranks, representative of the number of the independent data streams received by the non-linear receiver, whose corresponding capacity is higher than the capacity corresponding to each other rank of the plurality of ranks.

9. The device of claim 8 wherein the processor is configured to determine the indication of capacity using an effective signal-to-noise ratio.

10. The device of claim 9 wherein determining the indication of capacity includes averaging the effective signal-to-noise ratio over a plurality of tones and symbols of a frame to determine an average effective signal-to-noise ratio.

11. The device of claim 10 wherein the processor is further configured to compute an indication of channel quality as a function of the average effective signal-to-noise ratio.

12. The device of claim 11 further comprising a transmitter communicatively coupled to the processor wherein the processor is further configured to quantize the indication of channel quality and feed back the quantized indication of channel quality over a reverse link via the transmitter.

13. The device of claim 8 wherein the processor is further configured to generate channel sub-matrices and evaluate the channel sub-matrices.

14. The device of claim 13 wherein the processor configured to evaluate the channel submatrices is configured to perform respective Q-R matrix decompositions.

15. A user device in a wireless communication environment, the user device comprising:

means for receiving a transmission signal at a non-linear receiver;

means for determining an indication of capacity of the non-linear receiver for each of a plurality of possible ranks of the non-linear receiver, each rank representative of a corresponding number of independent data streams received by the non-linear receiver, wherein the means for determining the indication of capacity for each of the plurality of possible ranks include means for computing successive interference cancellation (SIC) capacity for a respective matrix generated for the each of the plurality of possible ranks; and

means for selecting a desired rank, of the plurality of ranks, representative of the number of the independent data streams received by the non-linear receiver, whose corresponding capacity is higher than the capacity corresponding to each other rank of the plurality of ranks.

16. The device of claim 15 wherein the means for determining the indication of capacity use an effective signal-to-noise ratio.

17. The device of claim 16 wherein determining the indication of capacity includes averaging the effective signal-to-noise ratio over a plurality of tones and symbols of a frame to determine an average effective signal-to-noise ratio.

18. The device of claim 17 further comprising means for computing an indication of channel quality as a function of the average effective signal-to-noise ratio.

19. The device of claim 18 further comprising means for quantizing the indication of channel quality and means for feeding back the quantized indication of channel quality over a reverse link.

20. The device of claim 15 further comprising means for generating channel sub-matrices and means for evaluating the channel sub-matrices.

21. The device of claim 20 wherein the means for evaluating the channel submatrices perform respective Q-R matrix decompositions.

22. A computer program product residing on a tangible non-transitory processor-readable medium and comprising processor-readable instructions configured to cause a processor to:

determine an indication of capacity of a non-linear receiver for each of a plurality of possible ranks of the non-linear receiver, each rank representative of a corresponding number of independent data streams received by the non-linear receiver, wherein the instructions to cause the processor to determine the indication of capacity for each of the plurality of possible ranks include instructions configured to cause the processor to compute successive interference cancellation (SIC) capacity for a respective matrix generated for the each of the plurality of possible ranks; and

select a desired rank, of the plurality of ranks, representative of the number of the independent data streams received by the non-linear receiver, whose corresponding capacity is higher than the capacity corresponding to each other rank of the plurality of ranks.

23. The computer program product of claim 22 wherein the instructions configured to cause the processor to determine the indication of capacity are configured to cause the processor to use an effective signal-to-noise ratio.

24. The computer program product of claim 23 wherein the instructions configured to cause the processor to determine the indication of capacity include instructions configured to cause the processor to average the effective signal-to-noise ratio over a plurality of tones and symbols of a frame to determine an average effective signal-to-noise ratio.

25. The computer program product of claim 24 further comprising instructions configured to cause the processor to compute an indication of channel quality as a function of the average effective signal-to-noise ratio.

26. The computer program product of claim 25 further comprising instructions configured to cause the processor to quantize the indication of channel quality and feed back the quantized indication of channel quality over a reverse link.

27. The computer program product of claim 22 further comprising instructions configured to cause the processor to generate channel sub-matrices and evaluate the channel sub-matrices.

28. The computer program product of claim 27 wherein instructions configured to cause the processor to evaluate the channel submatrices are configured to cause the processor to perform respective Q-R matrix decompositions.