Implementation of a Markov chain Monte Carlo based multiuser/MIMO detector

IEEE International Conference on Communications

Volumn 7, Issue , 2006, Pages 3088-3093

  Laraway, Stephen Andrew ^a   Farhang Boroujeny, Behrouz ^a  

^a Department of Electrical and Computer Engineering

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; MARKOV PROCESSES; MONTE CARLO METHODS; PIPELINE PROCESSING SYSTEMS; SIGNAL DETECTION;

GIBBS SAMPLERS; HARDWARE ARCHITECTURE;

MIMO SYSTEMS;

EID: 39349117815     PISSN: 05361486     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICC.2006.255279     Document Type: Conference Paper

References (15)

1. S. Verdù, Multiuser Detection. Cambridge University Press, 1998.
2. G.J. Foschini, "Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas," Bell Labs Technical Journal, vol. 1 (2), August 1996, pp. 41 - 59.
3. E. Telatar, "Capacity of multi-antenna Gaussian channels," European Trans. Telecomm., vol. 10, no. 6, November - December 1999.
4. S. Verdú, "Minimum probability of error for asynchronous Gaussian multiple-access channels," IEEE Trans. Inform. Theory, vol. 32, pp. 85-96, Jan. 1986.
5. P.D. Alexander, M.C. Reed, J.A. Asenstorfer and C.B. Schlegel, "Iterative Multiuser Interference Reduction: Turbo CDMA", IEEE Trans. Commun., vol. 47, no. 7, July 1999.
6. X. Wang and H.V Poor, "Iterative (Turbo) Soft Interference Cancellation and Decoding for Coded CDMA", IEEE Trans. Commun., vol. 47, no. 7, pp. 1046-1061, July 1999.
7. H.E. Gamal and A.R. Hammons, Jr., "A new approach to layered space-time coding and signal processing," IEEE Trans Info. Theory, vol. 47, no. 6, pp. 2321 - 2334, Sept. 2001.
8. V. Buchoux, O. Cappe, and E. Moulines, "Turbo multiuser detection for coded DS-CDMA systems: a Gibbs sampling approach," Thirty-Fourth Asilomar Conference on Signals, Systems and Computers, 2000.
9. [H. Zhu, Z. Shi, and B. Farhang-Boroujeny, "MIMO detection using Markov chain Monte Carlo techniques for near-capacity performance," ICASSP05, Philadelphia.
10. B. Farhang-Boroujeny, H. Zhu, and Z. Shi, "Monte Carlo Markov Chain Techniques for CDMA and MIMO Communication Systems," Submitted to IEEE Trans. Signal Processing, Oct. 2004.
11. W.R. Gilks, S. Richardson, and D.J. Spiegelhalter, Markov Chain Monte Carlo in Practice. Chapman & Hall, 1996.
12. C.P. Robert and G. Casella, Monte Carlo Statistical Methods. Springer-Verlag, New York, 1999.
13. P. Robertson, E. Villebrun, and P. Hoeher, "A comparison of optimal and sub-optimal MAP decoding algorithms operating in the log domain," 1995 IEEE International Conference on Communications, ICC 95 Seattle.
14. S. Tezuka, Uniform Random Numbers: Theory and Practice. Norwell, Massachusetts. Kluwer Academic Publishers, 1995.
15. http://www.tgnsync.org/tgnsynccomp