Research Article
QGA based MC-CDMA Detector
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 77 - Issue 12 |
| Published: September 2013 |
| Authors: Ahmed M. Sana, Mohammed Nadhim Abbas, Saleem M. Ridha |
10.5120/13444-0996
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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 },
year = { 2013 },
volume = { 77 },
number = { 12 },
pages = { 6-9 },
doi = { 10.5120/13444-0996 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Ahmed M. Sana
%A Mohammed Nadhim Abbas
%A Saleem M. Ridha
%T QGA based MC-CDMA Detector%T
%J International Journal of Computer Applications
%V 77
%N 12
%P 6-9
%R 10.5120/13444-0996
%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
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- 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.
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- 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
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