Research Article
Comparison Analysis of CDMA Multiuser Detection using PSO and SMO
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 133 - Issue 2 |
| Published: January 2016 |
| Authors: Amanpreet Kaur |
10.5120/ijca2016907739
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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 },
year = { 2016 },
volume = { 133 },
number = { 2 },
pages = { 47-50 },
doi = { 10.5120/ijca2016907739 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Amanpreet Kaur
%T Comparison Analysis of CDMA Multiuser Detection using PSO and SMO%T
%J International Journal of Computer Applications
%V 133
%N 2
%P 47-50
%R 10.5120/ijca2016907739
%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
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