Performance Evaluation and Analysis of Switching Algorithms in MIMO-OFDM System with Ideal and Non-Ideal CSI
Yosra Mlayeh, Fethi Tlili, Fatma Rouissi, Ilham Ouachani, Adel Ghazel
.
DOI: 10.4236/ijcns.2010.312129   PDF    HTML     6,538 Downloads   10,709 Views   Citations

Abstract

In this paper we analyzed the bit error rate performance of a switching algorithm between spatial multiplex-ing and diversity for an OFDM MIMO system with ideal channel state information. The effect of channel estimation error was studied and we verified by simulations that the spatial multiplexing outperforms the switching algorithm. Given that the switching algorithm is based on the comparison of the channel matrix Demmel condition number to a threshold, its accuracy is compromised when channel estimation error in-creases. As a first intuitive solution, we proceeded to the adaptation of the threshold, but this didn’t lead to a pertinent improvement for the main reason that channel estimation errors did affect the MIMO techniques which use different constellation. Based on that, we proposed a new estimation technique that improved the bit error rate performance significantly.

Share and Cite:

Y. Mlayeh, F. Tlili, F. Rouissi, I. Ouachani and A. Ghazel, "Performance Evaluation and Analysis of Switching Algorithms in MIMO-OFDM System with Ideal and Non-Ideal CSI," International Journal of Communications, Network and System Sciences, Vol. 3 No. 12, 2010, pp. 945-953. doi: 10.4236/ijcns.2010.312129.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] H. Sampath, S. Talwar, J. Tellado, et al., “A Fourth- Generation MIMO-OFDM Broadband Wireless System: Design, Performance, and Field Trial Results,” IEEE Communications Magazine, Vol. 40, No. 9, September 2002, pp. 143-149.
[2] M. D. Batariere, J. F. Kepler, T. P. Krauss, et al., “An Experimental OFDM System for broadband Mobile Communications,” Proceedings of IEEE VTS 54th Vehicular Technology Conference, Atlantic City, Vol. 4, 7-11 October 2001, pp. 1947-1951.
[3] IEEE Standard 802.16e, “IEEE Standard for Local and Metropoltain Area Networks, Part 16: Air Interface for Fixed and Mobile Broadband Wireless Access Systems, Amendment 2: Physical and Medium Access Control Layers for Combined Fixed and Mobile Operation in Licensed Bands and Corrigendum 1,” February 2006.
[4] D. Gesbert, M. Shafi, D. Shiu, P. J. Smith and A. Naguib, “From Theory to Practice: An Overview of MIMO Space Time Coded Wireless Systems,” IEEE Journal on Se- lected Areas in Communications, Vol. 21, No. 3, April 2003, pp. 281-302.
[5] S. M. Alamouti, “A Simple Transmit Diversity Technique for Wireless Communications,” IEEE Journal on Selec- ted Areas in Communications, Vol. 16, No. 8, October 1998, pp. 1451-1458.
[6] V. Tarokh, H. Jafarkhani and A. R. Calderbank, “Space Time Block Codes from Orthogonal Designs,” IEEE Transactions on Information Theory, Vol. 45, No. 5, July 1999, pp. 1456-1467.
[7] A. J. Paulraj and T. Kailath, “Increasing Capacity in Wire- less Broadcast Systems Using Distributed Transmission/ Directional Reception (DTDR),” U. S. Patent 5,345,599, September 1994.
[8] J. Adeane, W. Q. Malik and I. J. Wassell, “Error Performance of Ultrawideband Spatial Multiplexing Systems,” IET Microwaves, Antennas & Propagation, Vol. 3, No. 3, March 2009, pp. 363-371.
[9] R. W. Heath Jr. and A. J. Paulraj, “Switching between Diversity and Multiplexing in MIMO Systems,” IEEE Transactions on Communications, Vol. 53, No. 6, June 2005, pp. 962-968.
[10] R. W. Heath Jr. and A. J. Paulraj, “Diversity versus Multiplexing in Narrowband MIMO Channels: A Tradeoff Based on Euclidean Distance,” IEEE Transactions on Communications, December 2002, pp. 1-26.
[11] R. W. Heath Jr. and A. J. Paulraj, “Characterization of MIMO channels for Spatial Multiplexing Systems,” Pro- ceedings of IEEE International Conference on Communications, Helsinki, Vol. 2, 11-14 June 2001, pp. 591-595.
[12] N. Kita, W. Yamada, A. Sato, D. Mori and S. Uwano, “Measurement of Demmel Condition Number for 2 × 2 MIMO-OFDM Broadband Channels,” Proceedings of IEEE 59th Vehicular Technology Conference, Milan, Vol. 1, 17-19 May 2004, pp. 294-298.
[13] C. Han, A. Doufexi, S. Armour, K. H. Ng and J. McGeehan, “Adaptive MIMO OFDMA for Future Generation Cellular Systems in Realistic Outdoor Environment,” Proceedings of IEEE 63rd Vehicular Technology Conference, Melbourne, 7-10 May 2006, pp. 142-146.
[14] C. Han, S. Armour, A. Doufexi, K. H. Ng and J. McGeehan, “Link Adaptation Performance Evaluation for a MIMO- OFDM Physical Layer in a Realistic Outdoor Environment,” Proceedings of IEEE 64th Vehicular Technology Conference, Montreal, Vol. 74, 25-28 September 2006, pp. 1-5.
[15] B. Muquet, E. Biglieri and H. Sari, “MIMO Link Adap- tation in Mobile WiMAX Systems,” Proceedings of IEEE Wireless Communications and Networking Conference, Kowloon, 11-15 March 2007, pp. 1810-1813.
[16] A. Forenza, M. R. McKay, I. B. Collings and R. W. Heath Jr., “Switching bewteen OSTBC and Spatial Multi- plexing with Linear Receivers in Spatially Correlated MIMO Channels,” Proceedings of IEEE 63rd Vehicular Technology Conference, Melbourne, Vol. 3, 7-10 May 2006, pp. 1387-1391.
[17] A. Forenza, M. R. McKay, A. Pandharipande, R. W. Heath Jr. and I. B. Collings, “Adaptive MIMO Transmission for Exploiting the Capacity of Spatially Correlated Channels,” IEEE Transactions on Vehicular Technology, Vol. 56, No. 2, March 2007, pp. 619-630.
[18] C. Wood and W. S. Hodgkiss, “MIMO Channel Models and Performance Metrics,” Proceedings of IEEE Global Telecommunications Conference, Washington DC, 26-30 November 2007, pp. 3740-3744.
[19] J. W. Demmel, “The Probability that a Numerical Analysis Problem is Difficult,” Mathematics of Computation, Vol. 50, No. 182, 1988, pp. 449-480.
[20] D. Chen, I.-K. Fu, M. Hart and W. C. Wong, “Project IEEE 802.16j Relay Task Group; Channel Models and Performance Metrics for IEEE 802.16j Relay Task Group,” IEEE 802.16j MMR Contribution, May 2006.
[21] W. C. Wong, I.-K. Fu, D. Chen, M. Hart and P. Wang, “Comparison of Multipath Channel Models for IEEE 802.16j Relay Task Group,” 01-07-2006.
[22] Y. S. Shen and E. Martinez, “WiMAX Channel Estimation: Algorithms and Implementations,” Freescale Semiconductor, Application Note, Revision 0, Draft A, July 2007.
[23] M. Hsieh and C. Wei, “Channel Estimation for OFDM Systems Based on Comb-Type Pilot Arrangement in Frequency Selective Fading Channels,” IEEE Transactions on Consumer Electronics, Vol. 44, No. 1, 1998, pp. 217-225.
[24] Y. S. Shen and E. Martinez, “Channel Estimation in OFDM Systems,” Freescale Semiconductor, Application Note, Revision 0, January 2006.
[25] A. Edelman, “On the Distribution of a Scaled Condition Number,” Mathematics of Computation, Vol. 58, No. 197, 1992, pp. 185-190.
[26] T. Tao and Van Vu, “The Condition Number of a Ran- domly Perturbed Matrix,” Proceedings of the 39th Annual ACM Symposium on Theory of Computing, San Diego, 11-13 June 2007, pp. 248-255.
[27] E. K. Hlel, F. Tlili, S. Cherif and M. Siala, “Channel Parameters Estimation for OFDM Systems,” International Symposium on Communications, Control and Signal Processing, Marrakech, 13-15 March 2006, pp. 1-4.
[28] X. Y. Tang, M.-S. Alouini and A. J. Goldsmith, “Effect of Channel Estimation Error on M-QAM BER Perfor- mance in Rayleigh Fading,” IEEE Transactions on Communications, Vol. 47, No. 12, 1999, pp. 1856-1864.
[29] L. Z. Cao and N. C. Beaulieu, “Exact Error-Rate Analysis of Diversity 16-QAM with Channel Estimation Error,” IEEE Transactions on Communications, Vol. 52, No. 6, June 2004, pp. 1019-1029.
[30] Y. Mlayeh, F. Rouissi, F. Tlili and A. Ghazel, “Improvement Technique of Channel Estimation in OFDM-MIMO Systems,” Proceedings of 16th IEEE International Conference on Electronics, Circuits and Systems, Hammamet, 13-16 December 2009, pp. 467-470.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.