Abdelkrim Hamza, Salim Chitroub, Gérard Salut
DOI: 10.4236/ijcns.2010.39102   PDF    HTML     5,639 Downloads   9,787 Views   Citations

Abstract

Interleaved Division Multiple Access (IDMA) is a new access scheme that has been proposed in the literature to increase the capacity of wireless channels. The performance of such systems depends on the accuracy of the channel state information at the receiver. In this paper, a Noisy-Independent Component Analysis (N-ICA) based IDMA receiver for multiple access communication channels is proposed. The N-ICA component is applied as a post processor. Unlike other IDMA receivers, the proposed scheme detects and separates the transmitted symbols without channel state information tracking. The performance of the proposed technique is presented in terms of raw bit error rate (BER) without channel coding for different signal to noise ratios (SNR). Simulation results demonstrate that N-ICA post processor provides an improvement in performance in terms of bit error rate (BER) in loaded systems. When the system is not loaded, the proposed post processor presents the same performance as conventional IDMA receiver with less iterations leading to a complexity reduction.

Keywords

IDMA, ICA, Multi-User Detection

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Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Li Ping, L. Liu, K. Wu and W. K. Leung, “Interleave Division Multiple Access,” IEEE Transactions on Wireless Communication, Vol. 5, No. 4, 2006, pp. 938-945.
[2]	I. Mahafeno, C. Langlais and C. Jego, “Reduced Complexity Iterative Multi-User Detector for IDMA (Interleave Division Multiple Access) System,” Proceedings of IEEE Global telecommunication Conference, Vol. 1, San Francisco, 2006, pp. 530-540.
[3]	H. Schoeneich and P. Hoeher, “Semi-Blind Pilot-layer Aided Channel Estimation with Emphasis on Interleave Division Multiple Access Systems,’’ Proceedings of IEEE Global telecommunication Conference, Vol. 3, St. Louis, 2005, pp. 110-118.
[4]	T. Ristaniemi and J. Joutsensalo, “Advanced ICA Based Receivers for DS-CDMA Systems,” Signal Processing, Vol. 82, 2002, pp. 417-431.
[5]	M. Gupta and B. Santhanam, “ICA Based Blind Adaptive MAI Suppression in DS-CDMA Systems,” Proceedings of IEEE-DSP Workshop, New Mexico, 2004, pp. 204- 210.
[6]	J.-F. Cardoso, “Blind Signal Separation: Statistical Principles,” Proceedings of the IEEE, Vol. 86, No.10, June 1978, pp. 2009-2025.
[7]	A. Hyvarinen, “Fast and Robust Fixed-point Algorithms for Independent Component Analysis,” IEEE Transactions on Neural Networks, Vol. 10, No. 3, 1999, pp. 626-634.
[8]	T. Huovinen, A. Shahed and M. Valkama, “Blind Diversity Reception and Interference Cancellation Using ICA,” Proceedings of International Conference on Acoustics, Speech and Signal Processing, Vol. 3, 2007, pp. 685-688.
[9]	A. O. Dahmane, “A New MMSE Based Cascade Fliter MUD Tracking Mode in Time-Varying Channels,” Proceedings of IEEE Conference on Wireless and Mobile Computing, Networking and Communications, Vol.5, 2005, pp. 103-107.
[10]	M. E. Davies, “Identifiability Issues in Noisy ICA,” Proceedings of IEEE Signal Processing letters, Vol. 11, No. 5, 2004, pp. 470-473.
[11]	O. Ekici, and A. Yongacoglu, “Application of Noisy Independent Component Analysis for CDMA Signal Separation, Proceedings of IEEE-DSP Workshop, Vol. 3, July 2004, pp. 3812-3816.
[12]	A. Hamza, G. Salut and S. Chitroub, “Independent Component Analysis in IDMA Systems,” Proceedings of IEEE NEWCAS-TAISA, Toulouse, July 2009, pp. 64-68.
[13]	R. H. Mahadevappa, “Interference Cancellation Technique for Multiuser Communication System”, PhD thesis, Northeaster University, Massachusetts, 2002.