Stochastic gradient algorithms for design of minimum error-rate linear dispersion codes in MIMO wireless systems

IEEE Transactions on Signal Processing

Volumn 54, Issue 4, 2006, Pages 1242-1255

  Wang, Xiaodong ^a   Krishnamurthy, Vikram ^b   Wang, Jibing ^c  

^a Columbia University ^*  (United States)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c QUALCOMM INC   (United States)

Author keywords

Gradient estimation; Linear dispersion codes; Multiple input multiple output (MIMO); Score function; Stochastic approximation

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; GRADIENT METHODS; RANDOM PROCESSES; RAYLEIGH FADING; SIGNAL RECEIVERS; STATISTICAL METHODS; TRANSMITTERS;

GRADIENT ESTIMATION; LINEAR DISPERSION CODES; MULTIPLE-INPUT MULTIPLE-OUTPUT (MIMO) WIRELESS SYSTEMS; SCORE FUNCTION; STOCHASTIC APPROXIMATION;

WIRELESS TELECOMMUNICATION SYSTEMS;

EID: 33645297684     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2005.863122     Document Type: Article

References (28)

1. B. Hassibi and B. Hochwald, "High-rate codes that are linear in space and time," IEEE Trans. Inf. Theory, vol. 48, no. 7, pp. 1804-1824, Jul. 2002.
2. M. Kuhn, I. Hammerstroem, and A. Wittneben, "Linear scalable spacetime codes: Trade-off between spatial multiplexing and transmit diversity," in Proc. IEEE SPAWC, 2003, pp. 21-25.
3. M. O. Damen, A. Chkeif, and J. C. Belfiore, "Lattice code decoder for space-time codes," IEEE Commun. Lett., vol. 4, pp. 166-169, May 2000.
4. B. Dong, X. Wang, and A. Doucet, "A new class of soft MIMO demodulation algorithms," IEEE Trans. Signal Process., vol. 51, no. 11, pp. 2752-2763, Nov. 2003.
5. G. J. Foschini, G. Golden, R. Valenzuela, and P. Wolniansky, "Simplified processing for high spectral efficiency wireless communication employing multi-element arrays," IEEE J. Sel. Areas Commun., vol. 17, no. 11, pp. 1841-1852, Nov. 1999.
6. D. Gesbert, "Minimum-error linear receivers for ill-conditioned MIMO channels," in Proc. IEEE Workshop Signal Processing Advances in Wireless Communications (SPAWC), 2003, pp. 462-466.
7. R. W. Heath. Jr and A. J. Paulraj, "Linear dispersion codes for MIMO systems based on frame theory," IEEE Trans. Signal Process., vol. 50, no. 10, pp. 2429-2441, Oct. 2002.
8. C. G. Cassandras and S. Lafortune, Introduction to Discrete Event Systems. Norwell, MA: Kluwer, 1999.
9. M. Fu and J. Q. Hu, Conditional Monte Carlo: Gradient Estimation and Optimization Applications. Norwell, MA: Kluwer, 1991.
10. J. C. Spall, Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control. New York: Wiley, 2003.
11. H. Fang, F. Gong, and M. Qian, "Annealing of iterative stochastic schemes," SIAM J. Control Optim., vol. 35, pp. 1886-1907, 1997.
12. V. Tarokh, N. Seshadri, and A. R. Calderbank, "Space-time codes for high data rate wireless communication: Performance criterion and code construction," IEEE Trans. Inf. Theory, vol. 44, no. 2, pp. 744-765, Mar. 1998.
13. V. Tarokh, H. Jafarkhani, and A. R. Calderbank, "Space-time block codes from orthogonal designs," IEEE Trans. Inf. Theory, vol. 45, no. 5, pp. 1456-1467, Jul. 1999.
14. C. Chuah, D. Tse, J. M. Kahn, and R. A. Valenzuela, "Capacity scaling in MIMO wireless systems under correlated fading," IEEE Trans. Inf. Theory, vol. 48, no. 3, pp. 637-650, Mar. 2002.
15. D. Shiu, G. J. Foschini, M. J. Gans, and J. M. Kahn, "Fading correlation and its effect on the capacity of multielement antenna systems," IEEE Trans. Commun., vol. 48, no. 3, pp. 502-513, Mar. 2000.
16. H. E. Gamal and M. O. Damen, "Universal space-time coding," IEEE Trans. Inf. Theory, vol. 48, no. 5, pp. 1097-1119, May 2003.
17. X. Ma and G. B. Giannakis, "Full-diversity full rate complex field space-time coding," IEEE Trans. Signal Process., vol. 51, no. 11, pp. 2917-2930, Nov. 2003.
18. B. Varadarajan and J. R. Barry, "Optimization of full-rate full diversity linear space-time codes using the union bound," in Proc. IEEE Information Theory Workshop, Mar.-Apr. 2003, pp. 210-213.
19. J. K. Zhang, K. M. Wong, and T. N. Davidson, "Information lossless full rate full diversity cyclotomic linear dispersion codes," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing (ICASSP), vol. 4, May 2004, pp. 465-468.
20. S. Zhou and G. B. Giannakis, "Optimal transmitter eigen-beamforming and space-time block coding based on channel correlations," IEEE Trans. Inf. Theory, vol. 49, no. 7, pp. 1673-1690, Jul. 2003.
21. M. O. Damen, K. Abed-Meraim, and J. C. Belfiore, "Diagonal algebraic space-time block codes," IEEE Trans. Inf. Theory, vol. 48, no. 3, Mar. 2002.
22. M. O. Damen, H. E. Gamal, and N. C. Beaulieu, "Linear threaded algebraic space-time constellations," IEEE Trans. Inf. Theory, vol. 49, no. 10, pp. 2372-2388, Oct. 2003.
23. V. Krishnamuthy and A. Logothetis, "Iterative and recursive estimators for hidden Markov errors-in-variables models," IEEE Trans. Signal Process., vol. 44, no. 3, pp. 629-639, Mar. 1996.
24. F. Vazquez Abad and V. Krishnamurthy, "Constrained stochastic approximation algorithms for adaptive control of constrained Markov decision processes," in Proc. 42nd IEEE Conf. Decision Control, Maui, HI, 2003, pp. 2823-2828.
25. H. J. Kushner and G. Yin, Stochastic Approximation and Recursive Algorithms and Applications. New York: Springer, 2003.
26. G. Pflug, Optimization of Stochastic Models: The Interface Between Simulation and Optimization. Boston, MA: Kluwer, 1996.
27. B. Varadarajan and J. R. Barry, "Linear space-time codes optimized for successive cancellation decoding," in Proc. Int. Zurich Seminar on Communications, 2004, pp. 132-135.
28. M. K. Varanasi, "Decision feedback multiuser detection: A systematic approach," IEEE Trans. Inf. Theory, vol. 45, no. 1, pp. 219-240, Jan. 1999.