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Reseach Article

Study and Performance in a MIMO System to Receiving

by Bouamama Reda Sadouki, Hichem Chaker
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 13
Year of Publication: 2014
Authors: Bouamama Reda Sadouki, Hichem Chaker
10.5120/15045-3407

Bouamama Reda Sadouki, Hichem Chaker . Study and Performance in a MIMO System to Receiving. International Journal of Computer Applications. 86, 13 ( January 2014), 20-26. DOI=10.5120/15045-3407

@article{ 10.5120/15045-3407,
author = { Bouamama Reda Sadouki, Hichem Chaker },
title = { Study and Performance in a MIMO System to Receiving },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 13 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 20-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number13/15045-3407/ },
doi = { 10.5120/15045-3407 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:04:31.145540+05:30
%A Bouamama Reda Sadouki
%A Hichem Chaker
%T Study and Performance in a MIMO System to Receiving
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 13
%P 20-26
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Modern systems of Wireless Communications have limited capacity and processing techniques are required more sophisticated in order to improve system performance. One of the techniques in vogue is the application of MIMO (Multiple Input Multiple Output), known to improve the channel capacity and or the probability of bit error. The purpose of this paper is the comparison of two techniques for MIMO systems. The first technique using a series of antennas on the side of the terminal (and therefore much RF chain) is known to improve system performance and that there is a feedback loop containing the state of the channel or not. However, the use of these antennas on the terminal requires a lot of power because the remains of additional RF chains. The second one is for the terminal to choose the best antenna corresponding to the channel conditions. For the uplink, this requires a return to the channel state radio base station to mobile. The performance will always be suboptimal compared to using multiple channels in reception. But the terminal would need to maintain single RF chains which potentially save a lot of power.

References
  1. G. J. Foschini. Layered space-time architecture for wireless communication a fading environment when using multi-element antennas. Bell Labs Technical Journal, pages 41–57, autumn 1996.
  2. N. Seshadri and C. E. W. Sundberg. Multi-level trellis coded modulations forthe Rayleigh fading channel. IEEE Transactions on Communications, 41(9):1300– 1310, September 1993.
  3. G. Ganesan and P. Stoica. Space-time diversity using orthogonal and amicable orthogonal designs. Wireless Personal Communications, 18(2):165–178, August 2001.
  4. V. Tarokh, H. Jafarkhani, and A. R. Calderbank. Space-time block codes from orthogonal designs. IEEE Transactions on Information Theory, 45(5):1456–1467, July 1999.
  5. G. Ganesan and P. Stoica. Space-time diversity using orthogonal and amicable orthogonal designs. Wireless Personal Communications, 18(2):165–178, August 2001.
  6. C. Berrou, A. Glavieux, and P. Thitimajshima. Near Shannon limit error-correcting coding and decoding: Turbo-codes. In Proceedings of the IEEE International Conference on Communications (ICC), pages 1064–1070, Genève, Suisse, May 1993.
  7. A. S. Stefanov and T. M. Duman. Turbo coded modulations for systems with transmits and receive antenna diversity. In Proceedings of IEEE Global Telecommunications Conference (Globecom), pages 2336–2340, Rio De Janeiro, Brazil, 1999.
  8. K. Cavalec-Amis. Optimisation des Turbo Codes pour les systèmes à grande efficacité spectrale. PhD thesis, ENST Bretagne, 2001.
  9. A. Grant and C. Schlegel. Differential turbo space-time coding. In Proceedings of the IEEE Information Theory Workshop (ITW), pages 120–122, Cairns, Australia, September 2-7 2001.
  10. C. Schlegel and A. Grant. Concatenated space-time coding. In Proceedings of the IEEE Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pages 139–143, San Diego (CA), USA, September 30 - October 3 2001.
  11. B Hassibi and B. M. Hochwald. Cayley differential unitary space-time codes. IEEE Transactions on Information Theory, 48(6):1485–1503, June 2002.
  12. J. M. BROSS IER. Edition hermès, Signale et communication numérique Égalisation et synchronization.
  13. J. Labat, O. Macchi, Une structure universelle pour l'égalisation numérique autodidacte, GRET SI 97, Grenoble, 1997.
Index Terms

Computer Science
Information Sciences

Keywords

Minimum mean-squared error (MMSE) Maximum likelihood (ML) Bit error rate (BER) Successive interference cancellation (SIC) zero Forcing (ZF) Multiple-Input Multiple-Output ( MIMO).