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Comparison Analysis of CDMA Multiuser Detection using PSO and SMO

by Amanpreet Kaur
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 133 - Number 2
Year of Publication: 2016
Authors: Amanpreet Kaur
10.5120/ijca2016907739

Amanpreet Kaur . Comparison Analysis of CDMA Multiuser Detection using PSO and SMO. International Journal of Computer Applications. 133, 2 ( January 2016), 47-50. DOI=10.5120/ijca2016907739

@article{ 10.5120/ijca2016907739,
author = { Amanpreet Kaur },
title = { Comparison Analysis of CDMA Multiuser Detection using PSO and SMO },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 133 },
number = { 2 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 47-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume133/number2/23762-2016907739/ },
doi = { 10.5120/ijca2016907739 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:30:04.742016+05:30
%A Amanpreet Kaur
%T Comparison Analysis of CDMA Multiuser Detection using PSO and SMO
%J International Journal of Computer Applications
%@ 0975-8887
%V 133
%N 2
%P 47-50
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Using Spider monkey optimization (SMO) has become a common heuristic technique in many fields of engineering. In this paper, we apply SMO to solve near far effect problems in code division multiple access (CDMA) system, to reduce the computational complexity. The new approach is successfully tested in CDMA multiuser situation. The simulation results show that proposed algorithm is effective and outperforms as compare to methods like Particle Swarm Optimization (PSO) and Genetic Algorithm (GA).

References
  1. Atefeh Haji Jamali Arani and Paeiz Azmi, “Joint multiuser and inter symbol interference suppression in CDMA systems using particle swarm optimization algorithms,” IEEE, pp. 978-983, 2013.
  2. Cong Wang, “A Complete Binary and Hardware- Efficient PSO for CDMA Multiuser Detection,” Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics, pp. 3-6, 2014.
  3. J. G. Prokais, Digital Communications, New York: McGraw-Hill, 1989.
  4. J. Kennedy, and R. Eberhart, “Particle swarm optimization”, in Proceedings of the IEEE International Conference on Neural Networks, vol. 4, pp. 1942-1948, December 1995.
  5. Jagdish Chand Bansal, Harish Sharma, Shimpi Singh Jadon and Maurice Clerc, “Spider Monkey Optimization algorithm for numerical optimization,” Springer, Memetic Computing, pp. 31-47, 2014.
  6. Nacera Larbi, Fatima Debbat and A. Boudghene Stambouli, “A Review of Heuristic Near-Optimum MuD for MC-CDMA Systems,” International Conference on Multimedia Computing and systems, pp. 1484-1489, 2014.
  7. Zhendong Yin, Xiaohui Liu, and Zhilu Wu, “A Multiuser Detector based on Artifical Bee Colony Algorithm for DS-UWB Systems,” Hindawi Publishing Corporation, The Scientific World Journal, Article ID 547656, 8 pages,2013.
  8. Rapporteur, Theodore S. “Wireless Communications, Principles and Practice,” Prentice-Hall, Inc. 2002.
  9. Siyere Sun and Weixiao Meng, “Uplink Pre equalization for CC-CDMA system under frequency selective fading,” IEEE 2013 wireless communication symposium, pp. 5317-5321, 2013.
  10. Symington MMF, “Fission–fusion social organization inateles and pan. Int J Primatol vol. 11, no. 1, pp. 47–61, 1990
Index Terms

Computer Science
Information Sciences

Keywords

Spider Monkey Optimization Particle Swarm Optimization Genetic Algorithm DS-CDMA multiuser detection.

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