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Multi-User Detection by MMSE Adaptive Algorithm for Multi-Beam-MIMO-MC-CDMA using Sequences of References

by Mourad Benyarou, Fethi Tarik Bendimerad, Fatima Debbat
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 19
Year of Publication: 2013
Authors: Mourad Benyarou, Fethi Tarik Bendimerad, Fatima Debbat
10.5120/12081-8267

Mourad Benyarou, Fethi Tarik Bendimerad, Fatima Debbat . Multi-User Detection by MMSE Adaptive Algorithm for Multi-Beam-MIMO-MC-CDMA using Sequences of References. International Journal of Computer Applications. 69, 19 ( May 2013), 40-46. DOI=10.5120/12081-8267

@article{ 10.5120/12081-8267,
author = { Mourad Benyarou, Fethi Tarik Bendimerad, Fatima Debbat },
title = { Multi-User Detection by MMSE Adaptive Algorithm for Multi-Beam-MIMO-MC-CDMA using Sequences of References },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 19 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 40-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number19/12081-8267/ },
doi = { 10.5120/12081-8267 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:30:42.982220+05:30
%A Mourad Benyarou
%A Fethi Tarik Bendimerad
%A Fatima Debbat
%T Multi-User Detection by MMSE Adaptive Algorithm for Multi-Beam-MIMO-MC-CDMA using Sequences of References
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 19
%P 40-46
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main objective of the multi-antenna technology is improving the capacity of cellular systems. These techniques can also make other improvements such as the scope of the system, reducing the transmission power of mobile (and therefore increasing energy autonomy) and improved link performance. This was the context of this paper study whose objective was to study the contribution and providing of the use of adaptive antennas in multiuser detection for MC-CDMA system. Transmission implicated in the MC-CDMA system has potential interference rejection but not sufficiently in the case of strong interference. Therefore it need to use beamforming algorithms. This work is also interested in MIMO-MC-CDMA with multiple-beamforming (MBF) at the receiver, that uses multiple antennas at transmitter and receiver. This paper presents also the performance of general MIMO-MC-CDMA system used Multi-Beamformer with sequences of references at receiver and space time block code (STBC) or vertical bell labs space-time architecture (V-BLAST) at the transmitter, with minimum mean square error (MMSE) adaptive algorithm under Rayleigh fading channels.

References
  1. G. J. Foschini and M. J. Gans. ''On limits of wireless communications in a fading environment when using multiple antennas''. Wireless Personal Communications, march 1998.
  2. S. Hera and R. Prasad "Overview of multicarrier CDMA," IEEE Communications Magazine, Vol. 35, No. 12, pp. 126-133, Dec. 1997.
  3. E. O. J. Eriksson and V. Koivunen, "Essential statistics and tools for complex random variables," IEEE Transactions on signal processing, vol. 58, no. 10, pp. 5400–5408, October 2010.
  4. A. J. Paulraj, D. A. Gore, R. U. Nabar et H. Bolcskei, '' An overview of MIMO communications a key to gigabit wireless'' Proceedings of the IEEE, vol. 2, no2, pages 198–218, f´evrier 2004.
  5. Lindner J. and Pietsch C,"The spatial dimension in the case of MC-CDMA," European Transactions on Telecommunica- tions (ETT), vol. 13, pp. 431–438, Sept. /Oct. 2002.
  6. V. Limpakuntorn and R. Suleesathira, "MIMO Adaptive Beamforming for MC-CDMA System," 9th International Conference on Advanced Communication Technology, pp. 2217-2221, Feb. 2007.
  7. Nevio Benvenuto, Giovanni Cherubini''Algorithms for Communications Systems and their Applications'' 2002 John Wiley & Sons Ltd.
  8. Joseph C. Liberti, Jr. Theodore S. Rappaport'' Smart antennas for wireless communications'' Prentice Hall PTR.
  9. B. Vucetic and J. Yuan, Space-Time Coding, Wiley, 2003.
Index Terms

Computer Science
Information Sciences

Keywords

MC-CDMA MIMO VBLAST STBC Multiuser detection Multi-beamforming MMSE Adaptive Algorithm

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