A study of the extreme effects of fading correlation and the impact of imperfect MMSE channel estimation on the performance of SIMO zero-forcing receivers and on the capacity-maximizing strategy in SIMO links

IEEE Transactions on Vehicular Technology

Volumn 59, Issue 3, 2010, Pages 1294-1306

  Nobandegani, Khashayar Salehi ^a   Azmi, Paeiz ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Fully correlated fading; Single inputmultipleoutput (SIMO) systems; Training based minimum mean square error (MMSE) channel estimation; Uncorrelated fading; Zeroforcing (ZF) receivers

Indexed keywords

BLOCK FADING; CHANNEL ESTIMATOR; CLOSED-FORM EXPRESSION; CORRELATED FADING; CORRELATED FADING CHANNELS; FADING CORRELATION; INFORMATION CAPACITIES; LOWER BOUNDS; M-ARY PAM; MINIMUM MEAN-SQUARE ERROR; MONTE CARLO SIMULATION; ONLINE TRAINING; RAYLEIGH; SINGLE-INPUTMULTIPLEOUTPUT (SIMO) SYSTEMS; SYMBOL ERROR PROBABILITY; ZERO FORCING RECEIVERS; ZERO-FORCING;

AMPLITUDE MODULATION; BLOCK CODES; CHANNEL ESTIMATION; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER SIMULATION; DISTRIBUTION FUNCTIONS; ESTIMATION; FADING (RADIO); MEAN SQUARE ERROR; MONTE CARLO METHODS; PROBABILITY; PULSE AMPLITUDE MODULATION; RECEIVING ANTENNAS; SIGNAL TO NOISE RATIO;

FADING CHANNELS;

EID: 77949694880     PISSN: 00189545     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVT.2009.2037233     Document Type: Article

References (31)

1. D. Brennan, "Linear diversity combining techniques," Proc. IRE, vol.47, no.6, pp. 1075-1102, Jun. 1959.
2. G. L. Stüber, Principles of Mobile Communications. Norwell, MA: Kluwer, 1996.
3. T. S. Rappaport, Wireless Communications: Principles and Practice. Upper Saddle River, NJ: Prentice-Hall, 1996.
4. M. K. Simon and M. S. Alouini, Digital Communication Over Generalized Fading Channels: A Unified Approach to the Performance Analysis. New York: Wiley, 2000.
5. J. G. Proakis, Digital Communications, 4th ed. New York: McGraw- Hill, 2001.
6. D. Tse and P. Viswanath, Fundamentals of Wireless Communication. Cambridge, U.K.: Cambridge Univ. Press, 2005.
7. A. Goldsmith, Wireless Communications. Cambridge, U.K.: Cambridge Univ. Press, 2005.
8. E. Telatar, "Capacity of multi-antenna Gaussian channels," Eur. Trans. Telecommun., vol.10, no.6, pp. 585-595, Nov. 1999.
9. G. J. Foschini and M. J. Gans, "On limits of wireless communications in a fading environment when using multiple antennas," Wireless Pers. Commun., vol.6, no.3, pp. 311-335, Mar. 1998.
10. J. P. Kermoal, L. Schumacher, K. I. Pedersen, P. E. Mogensen, and F. Frederiksen, "A stochastic MIMO radio channel model with experimental validation," IEEE J. Sel. Areas Commun., vol.20, no.6, pp. 1211- 1226, Aug. 2002.
11. D. Gesbert, H. Bolcskei, D. Gore, and A. Paulraj, "Outdoor MIMO wireless channels: Models and performance prediction," IEEE Trans. Commun., vol.50, no.12, pp. 1926-1934, Dec. 2002.
12. S. L. Loyka, "Channel capacity of MIMO architecture using the exponential correlation matrix," IEEE Commun. Lett., vol.5, no.9, pp. 369-371, Sep. 2001.
13. D. S. 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.
14. D. Chizhik, F. Rashid-Farrokhi, J. Ling, and A. Lozano, "Effect of antenna separation on the capacity of BLAST in correlated channels," IEEE Commun. Lett., vol.4, no.11, pp. 337-339, Nov. 2000.
15. W. C. Jakes, Microwave Mobile Communications. New York: Wiley, 1974.
16. D. G. Gore, R. W. Heath, Jr., and A. Paulraj, "On performance of the zero forcing receiver in presence of transmit correlation," in Proc. IEEE Int. Symp. Inf. Theory, Pacific Grove, CA, 2002, pp. 159-163.
17. X. Li and Z. Nie, "Performance losses in V-BLAST due to correlation," IEEE Antennas Wireless Propag. Lett., vol.3, pp. 291-294, 2004.
18. X. Zhang and B. Ottersten, "Performance analysis of V-BLAST structure with channel estimation errors," in Proc. IEEE Workshop Signal Process. Adv. Wireless Commun., Jun. 2003, pp. 487-491.
19. R. Narasimhan, "Error propagation analysis of V-BLAST with channelestimation errors," IEEE Trans. Commun., vol.53, no.1, pp. 27-31, Jan. 2005.
20. C. Wang, E. K. S. Au, R. D. Murch, W. H. Mow, R. S. Cheng, and V. K. N. Lau, "On performance of the MIMO zero-forcing receiver in the presence of channel estimation error," IEEE Trans. Wireless Commun., vol.6, no.3, pp. 805-810, Mar. 2007.
21. M. Medard, "The effect upon channel capacity in wireless communications of perfect and imperfect knowledge of the channel," IEEE Trans. Inf. Theory, vol.46, no.3, pp. 933-946, May 2000.
22. T. E. Klein and R. G. Gallager, "Power control for the additive white Gaussian noise channel under channel estimation errors," in Proc. IEEE ISIT, Jun. 2001, p. 304.
23. T. Yoo and A. J. Goldsmith, "Capacity and power allocation for fading MIMO channels with channel estimation error," IEEE Trans. Inf. Theory, vol.52, no.5, pp. 2203-2214, May 2006.
24. B. Hassibi and B. M. Hochwald, "How much training is needed in multiple-antenna wireless links?" IEEE Trans. Inf. Theory, vol.49, no.4, pp. 951-963, Apr. 2003.
25. J. M. Wozencraft and I. M. Jacobs, Principles of Communication Engineering. New York: Wiley, 1965.
26. I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series, and Products, 6th ed. New York: Academic, 2000.
27. A. Soysal and S. Ulukus, "Optimizing the rate of a correlated MIMO link jointly over channel estimation and data transmission parameters," in Proc. 42nd Annu. CISS, Princeton, NJ, Mar. 2008, pp. 74-79.
28. M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions. New York: Dover, 1965.
29. A. Papoulis and S. U. Pillai, Probability, Random Variables, and Stochastic Processes, 4th ed. New York: McGraw-Hill, 2002.
30. B. D. O. Anderson and J. B. Moore, Optimal Filtering. Englewood Cliffs, NJ: Prentice-Hall, 1979.
31. R. A. Horn and C. R. Johnson, Matrix Analysis. New York: Cambridge Univ. Press, 1988.