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QGA based MC-CDMA Detector

by Ahmed M. Sana, Mohammed Nadhim Abbas, Saleem M. Ridha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 77 - Number 12
Year of Publication: 2013
Authors: Ahmed M. Sana, Mohammed Nadhim Abbas, Saleem M. Ridha
10.5120/13444-0996

Ahmed M. Sana, Mohammed Nadhim Abbas, Saleem M. Ridha . QGA based MC-CDMA Detector. International Journal of Computer Applications. 77, 12 ( September 2013), 6-9. DOI=10.5120/13444-0996

@article{ 10.5120/13444-0996,
author = { Ahmed M. Sana, Mohammed Nadhim Abbas, Saleem M. Ridha },
title = { QGA based MC-CDMA Detector },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 77 },
number = { 12 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 6-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume77/number12/13444-0996/ },
doi = { 10.5120/13444-0996 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:50:04.970634+05:30
%A Ahmed M. Sana
%A Mohammed Nadhim Abbas
%A Saleem M. Ridha
%T QGA based MC-CDMA Detector
%J International Journal of Computer Applications
%@ 0975-8887
%V 77
%N 12
%P 6-9
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Multi-Carrier Code Division Multiple Access is regarded as one of the main candidates for 4G broadband wireless services. It combines the benefit of robustness to the multipath effects in OFDM systems and the benefit of high privacy and security in CDMA systems. However, a problem arises in the detection of transmitted information due to the effect of noise, fading and other multipath effects. In this paper, a solution is proposed to this problem by introducing the quantum genetic algorithm based MC-CDMA detector. The performance of the proposed detector was investigated and compared with QGA based MIMO-OFDM detector proposed in previous work. The simulation results showed that the proposed QGA based MC-CDMA detector was better in BER performance than QGA based MIMO-OFDM detector showing a performance closer to the optimum.

References
  1. Mosa A. Abu-Rgheff. "Introduction to CDMA Wireless Communications", Academic Press, 2007.
  2. Mohammed Faisal, Jia Uddin, Iqbal H. Haider. "Simulation Based Performance Analysis of MC-CDMA and CDMA over Rayleigh Fading Channel", International Journal on Internet and Distributed Computing Systems. Vol: 2 No: 1, pp. 120-122, 2012
  3. Bhavana kulhare, and Poonam Sihna. "Simulation and Analysis of CDMA System under AWGN and Rayleigh Fading Channel", International Journal of Computers and Technology, vol. 6, No. 2, pp. 336-342, 2013.
  4. F. Li, M. Zhou, and H. Li. "A novel neural network optimized by quantum genetic algorithm for signal detection in MIMO-OFDM systems", Proceeding of IEEE Global Telecommunications Conference,
  5. Z. Ge-xiang, L. Na, J. Wei-dong, and H. Lai-zhao. "Novel Quantum Genetic Algorithm and Its Applications", Frontiers of Electrical and Electronic Engineering in China, vol. 1, Issue 1, pp. 31- 36, 2006.
  6. F. Li, W. Wang, M. Zhou, and B. Y. Zheng. "Quantum Genetic Algorithm for Signal Detection in MIMO-OFDM Systems", Proceeding of the 2010 International Conference on Genetic and Evolutionary Methods (GEM'10), USA, 2010
  7. F. Lei, and W. Wang. "Quantum Genetic Algorithm based Signal Detection Scheme for MIMO-OFDM System", Second International Conference on Communication Systems, Networks and Applications, Vol. 1, pp. 298-301, Hong Kong, China, 2010
Index Terms

Computer Science
Information Sciences

Keywords

MIMO-OFDM MC-CDMA QGA

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