Particle-Swarm-Optimization-Based Multiuser Detector for Multicarrier CDMA Communications

Authors:
Adarsh Patel;Aditya Trivedi
Affiliations:
-;-
Venue:
CICN '10 Proceedings of the 2010 International Conference on Computational Intelligence and Communication Networks
Year:
2010

Citing 0
Cited 2

Robust blind multiuser detection based on PSO algorithm in the mismatch environment of receiver spreading codes

Computers and Electrical Engineering
Neural Network Based Receiver for Multiuser Detection in MC-CDMA Systems

Wireless Personal Communications: An International Journal

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Abstract

Multi-carrier code division multiple access (MCCDMA) mobile communication systems targets to overcome the multi-path fading influences and to increase system capacity. In this paper, we present a modified version of evolutionary algorithm, called as Particle swarm optimization (PSO) which quickly converges to global optimal solution. This algorithm is used to develop a suboptimal multi-user detection (MUD) strategy for MC-CDMA systems. More specifically, after getting the initial population from the front-end frequency domain maximal ratio combining (MRC) or minimum mean-square error (MMSE) equalizer, simplified PSO optimization is applied. Simulation results show that the proposed PSO algorithm remarkably improves the performance of both, MRC and MMSE detector. Results of proposed MMSE-PSO scheme are better than the MMSE detector and it also outperforms MRC-PSO scheme.