All Title Author
Keywords Abstract


Investigations into the Effect of Spatial Correlation on Channel Estimation and Capacity of Multiple Input Multiple Output System

DOI: 10.4236/ijcns.2009.24029, PP. 267-275

Keywords: MIMO, Channel Estimation, Channel Capacity, Spatial Correlation, Channel Modelling

Full-Text   Cite this paper   Add to My Lib

Abstract:

The paper reports on investigations into the effect of spatial correlation on channel estimation and capacity of a multiple input multiple output (MIMO) wireless communication system. Least square (LS), scaled least square (SLS) and minimum mean square error (MMSE) methods are considered for estimating channel properties of a MIMO system using training sequences. The undertaken mathematical analysis reveals that the accuracy of the scaled least square (SLS) and minimum mean square error (MMSE) channel estimation methods are determined by the sum of eigenvalues of the channel correlation matrix. It is shown that for a fixed transmitted power to noise ratio (TPNR) assumed in the training mode, a higher spatial correlation has a positive effect on the performance of SLS and MMSE estimation methods. The effect of accuracy of the estimated Channel State Information (CSI) on MIMO system capacity is illustrated by computer simulations for an uplink case in which only the mobile station (MS) transmitter is surrounded by scattering objects.

References

[1]  E. Telatar, “Capacity of multi-antenna Gaussian channels,” European Transactions on Telecommunications, Vol. 10, No. 6, pp. 585- 596, November 1999.
[2]  T. L. Marzetta and B. M. Hochwald, “Capacity of a mobile multiple-antenna communication link in Rayleigh flat fading,” IEEE Transactions on Information Theory, Vol. 45, No. 1, pp. 139-157, January 1999.
[3]  A. Narula, M. J. Lopez, M. D. Trott, and G. W. Wornell, “Efficient use of side information in multiple-antenna data transmission over fading channels,” IEEE Journal on Selected Areas in Communications, Vol. 16, No. 8, pp. 1423-1436, October 1998.
[4]  C. Budianu and L. Tong, “Channel estimation for space- time orthogonal block codes,” IEEE Transactions on Sig-nal Processing, Vol. 50, pp. 2515-2528, October 2002.
[5]  A. Grant, “Joint decoding and channel estimation for linear MIMO channels,” Proceedings of IEEE Wireless Communications Networking Conference, Vol. 3, pp. 1009-1012, Chicago, IL, September 2000.
[6]  A. S. Kyung, R. W. Heath, and B. K. Heung, “Shannon capacity and symbol error rate of space-time block codes in MIMO Rayleigh channels with channel estimation error,” IEEE Transactions on Wireless Communication, Vol. 7, No. 1, pp. 324-333, January 2008.
[7]  X. Zhang and B. Ottersten, “Performance analysis of V- BLAST structure with channel estimation errors,” IEEE 4th Workshop on Signal Processing Advances in Wireless Communications SPAWC, pp. 487-491, June 2003.
[8]  P. Layec, P. Piantanida, R. Visoz and A. O. Berthet, “Capacity bounds for MIMO multiple access channel with imperfect channel state information,” IEEE Information Theory Workshop ITW08, pp. 21-25, May 2008.
[9]  M. Biguesh and A. B. Gershman, “MIMO channel estimation: Optimal training and tradeoffs between estimation techniques,” Proceedings of International Conference on Communications, ICC’04, Paris, France, Vol. 5, pp. 2658-2662, June 2004.
[10]  M. Biguesh and A. B. Gershman, “Training-based MIMO channel estimation: A study of estimator tradeoffs and optimal training signals,” IEEE Transactions on Signal Processing, Vol. 54, No. 3, pp. 884-893, March 2006.
[11]  X. Liu, S. Lu, M. E. Bialkowski and H. T. Hui, “MMSE Channel estimation for MIMO system with receiver equipped with a circular array antenna,” Proceedings of IEEE Microwave Conference APMC2007, pp. 1-4, De-cember 2007.
[12]  X. Liu, M. E. Bialkowski, and S. Lu, “Investigation into training-based MIMO channel estimation for spatial correlation channels,” Proceedings of IEEE International Antennas Propagation Symposium (APS-2007), pp. 51-55, August 2007.
[13]  P. B. Rapajic and D. Popescu, “Information capacity of a random signature multiple-input multiple-output channel,” IEEE Transactions on Communications, Vol. 48, pp. 1245-1248, August 2000.
[14]  P. J. Smith and M. Shafi, “On a Gaussian approximation to the capacity of wireless MIMO systems,” Proceedings of International Conference on Communications, ICC’02, pp. 406-410, 2002.
[15]  P. F. Driessen and G. J. Foschini, “On the capacity for-mula for multiple-input multiple-output wireless channels: A geometric interpretation,” IEEE Transactions on Com-munications, Vol. 47, pp. 173-176, February 1999.
[16]  D. Shiu, G. J. Foschini, M. J. Gans, and J. M. Kahn, “Fading correlation and its effect on the capacity of mul-tielement antenna systems,” IEEE Transactions on Communications, Vol. 48, No. 3, pp. 502-513, March 2000.
[17]  V. Erceg, “Indoor MIMO WLAN channel models,” IEEE 802.11-03/161r2, September 2003.
[18]  P. Uthansakul, M. E. Bialkowski, S. Durrani, K. Bi- alkowski, and A. Postula, “Effect of line of sight propa-gation on capacity of an indoor MIMO system,” Pro-ceedings of IEEE International Antennas Propagation Symposium (APS-2005), Washington, DC, pp. 707-710, 2005.
[19]  E. G. Larsson and P. Stoica, “Space-time block coding for wireless communication,” Cambridge University Press, 2003.
[20]  C. N. Chuah, D. N. C. Tse, and J. M. Kahn, “Capacity scaling in MIMO wireless systems under correlated fad-ing,” IEEE Transactions on Information Theory, Vol. 48, pp. 637-650, March 2002.
[21]  W. C. Jakes, “Microwave mobile communications,” New York: John Wiley & Sons, 1974.
[22]  T. L. Fulghum, K. J. Molnar and A. Duel-Hallen, “The Jakes fading model for antenna arrays incorporating azi-muth spread,” IEEE Transactions on Vehicular Technol-ogy, Vol. 51, No. 5, pp. 968-977, September 2002.
[23]  S. M. Kay, “Fundamentals of statistic signal processing: Estimation theory”, Prentice-Hall, Inc., 1993.
[24]  G. J. Foschini and M. J. Gans, “On the limits of wireless communications in fading environment when using mul-tiple antennas,” Wireless Personal Communications, Vol. 6, pp. 311-335, 1998.
[25]  B. M. Hochwald and T. L. Marzetta, “Capacity of a mo-bile multiple antenna communication link in Rayleigh flat fading,” IEEE Transactions on Information Theory, Vol. 45, No. 1, pp. 139-157, January 1999.
[26]  T. Yoo and A. Goldsmith, “Capacity and power alloca-tion for fading MIMO channels with channel estimation error,” IEEE Transactions on Information Theory, Vol. 52, No. 5, pp. 2203-2214, May 2006.
[27]  T. Yoo and A. Goldsmith, “Capacity of fading MIMO channels with channel estimation error,” IEEE Interna-tional Conference on Communications, Vol. 2, pp. 808- 813, June 2004.
[28]  [M. Medard, “The effect upon channel capacity in wire-less communications of perfect and imperfect knowledge of the channel,” IEEE Transactions on Information The-ory, Vol. 46, pp. 933-946, May 2000.
[29]  M. Torabi, M. R. Soleymani, and S. Aissa, “On the per-formance of MIMO-OFDM systems with imperfect channel information,” International Conference on Wire-less Networks, Communications and Mobile Computing, Vol. 1, pp. 600-605, June 2005.

Full-Text

comments powered by Disqus