Cooperative-MIMO Communications

• US 20090135944A1
• Filed: 01/27/2009
• Published: 05/28/2009
• Est. Priority Date: 10/23/2006
• Status: Abandoned Application

• Current Assignee: Balasubramaniam Natarajan, Justin S. Dyer
• Original Assignee: Balasubramaniam Natarajan, Justin S. Dyer
• Inventors: Natarajan, Balasubramaniam, Dyer, Justin S.
• Application Number:
  US12/360,706
• Publication Number:
  US 20090135944A1
• Time in Patent Office: Days
• US Class Current: 375/267
• CPC Class Codes: H04L 2025/03426 transmission using multiple-input and multiple-output channels
• CPC Class Codes: H04L 2025/03808 Transmission of equaliser coefficients
• CPC Class Codes: H04L 25/0248 Eigen-space methods
• CPC Class Codes: H04L 25/03203 Trellis search techniques
• CPC Class Codes: H04L 25/03343 Arrangements at the transmitter end

Abstract

Spatial subchannel codes for wireless devices operating in a cooperative antenna array are generated using an asymptotically optimal decoding algorithm, such as a trellis-exploration algorithm similar to the Viterbi algorithm. A trellis may be constructed using a number of desired subchannels, at least one code length, and a number of code-chip parameters. A fitness function is derived from a mathematical relationship between codes, and may include some measure of correlation of the codes. The selected codes correspond to paths having optimal path metrics derived from the fitness function. Multiple iterations through the trellis may be performed to refine a selection of the codes.

Claims

1. A method for calculating antenna-array weights in a cooperative antenna array comprising a plurality of wireless devices, the method comprising:

calculating branch metrics based on at least one fitness function for a plurality of possible state transitions between two successive states,

calculating path metrics for a plurality of possible paths constituted by successive state transitions and ending in each of said states, and

selecting at least one path for each of said states having an optimal path-metric value.

2. The method recited in claim 1, further configured for assigning the steps of calculating the branch metrics, calculating the path metrics, and selecting to each of the plurality of wireless devices.

3. The method recited in claim 2, wherein calculating the branch metrics further comprises each of the plurality of wireless devices employing a different fitness function.

4. The method recited in claim 2, wherein selecting comprises each of the plurality of wireless devices employing a different decision rule for selecting the at least one path such that each of the plurality of wireless devices is configurable for following a different path when more than one path has the optimal path-metric value.

5. The method recited in claim 2, wherein at least one of the plurality of wireless devices is configured for performing at least one of a by-element variant topology and a by-subchannel variant topology.

6. The method recited in claim 2, wherein each of the plurality of wireless devices is configured for employing a different subchannel-weight constellation.

7. The method recited in claim 2, wherein at least two of the plurality of wireless devices is configured for performing identical calculations for at least one of the steps of calculating the branch metrics, calculating the path metrics, and selecting.

8. The method recited in claim 2, wherein providing for calculating branch metrics is configured to derive the at least one fitness function as a function of eigenvalues of a channel-correlation matrix.

9. The method recited in claim 2, further comprising providing for redundant data storage and redundant data processing.

10. A digital computer system programmed to execute the method recited in claim 1.

11. An apparatus configured for calculating antenna-array weights of a cooperative antenna array comprising a plurality of wireless devices, comprising:

a branch metrics module configured for computing a branch metric for each of a plurality of antenna-array weight candidates, and

an accumulated metrics module configured to add at least one branch metric to at least one previous path metric and select at least one path based on an optimum path metric.

12. The apparatus recited in claim 12, further comprising a survivor storage and updating module configured to store decisions generated by the accumulated metrics module and to perform trace back.

13. The method recited in claim 12, wherein each of the plurality of wireless devices is configured for performing at least one of a by-element variant topology and a by-subchannel variant topology.

14. A machine-readable medium comprising instructions encoded thereon and executable to:

calculate branch metrics based on at least one fitness function for a plurality of possible state transitions between two successive states,

calculate path metrics for a plurality of possible paths constituted by successive state transitions and ending in each of said states, and

select at least one path having an optimal path-metric value, the at least one path corresponding to optimal weights to be used in an antenna array.

15. A method for calculating antenna-array weights in a cooperative antenna array comprising a plurality of wireless devices, the method comprising:

constructing a trellis for a number K of spatial sub-channels, a number of antenna-array elements N, and a number L of antenna-weighting parameters,

generating a fitness function based on estimated antenna-array weights, and

employing a trellis-exploration algorithm for producing updated antenna-array weights.

16. The method recited in claim 15, further comprising determining whether to repeat the steps of generating and employing.

17. The method recited in claim 15, further configured for assigning the steps of constructing, generating, and employing to each of the wireless devices.

18. The method recited in claim 17, wherein generating the fitness function comprises each of the wireless devices generating a different fitness function.

19. The method recited in claim 17, wherein employing the trellis-exploration algorithm comprises each of the plurality of wireless devices employing a different decision rule for selecting paths through the trellis such that each of the wireless devices is configurable for following a different path when more than one path has an optimal path-metric value.

20. The method recited in claim 17, wherein employing the trellis-exploration algorithm comprises performing metric update and performing traceback.

21. The method recited in claim 17, wherein at least one of the plurality of wireless devices is configured for performing at least one of a by-element variant topology and a by-subchannel variant topology.

22. The method recited in claim 17, wherein each of the wireless devices is configured for employing a different subchannel-weight constellation.

23. The method recited in claim 17, wherein at least two of the wireless devices is configured for performing identical calculations when employing the trellis-exploration algorithm.

24. The method recited in claim 17, further comprising providing for redundant data storage and redundant data processing.

25. A digital computer system programmed to execute the method recited in claim 15.