Particle Swarm and Quantum Particle Swarm Optimization Applied to DS/CDMA Multiuser Detection in Flat Rayleigh Channels

The particle swarm and quantum particle swarm optimization (PSO and QPSO) techniques applied to direct sequence/code division multiple access systems (DS/CDMA) with multiuser detection (MuD) are analyzed, evaluated and compared. The swarm techniques efficiency when applied to the DS-CDMA MuD (PSO-Mu...

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Bibliographic Details
Published in2006 IEEE Ninth International Symposium on Spread Spectrum Techniques and Applications pp. 133 - 137
Main Authors de Oliveira, L.D., Ciriaco, F., Abrao, T., Jeszensky, P.J.E.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2006
Subjects
Cloning
Computational complexity
Computational modeling
Genetic algorithms
Genetic programming
Maximum likelihood detection
Multiaccess communication
Multiuser detection
Particle swarm optimization
Rayleigh channels
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Summary:The particle swarm and quantum particle swarm optimization (PSO and QPSO) techniques applied to direct sequence/code division multiple access systems (DS/CDMA) with multiuser detection (MuD) are analyzed, evaluated and compared. The swarm techniques efficiency when applied to the DS-CDMA MuD (PSO-MuD and QPSO-MuD) in flat Rayleigh channels is compared through the trade-off between performance and computational complexity. With the same simulation scenario, the comparison is accomplished among the PSO-MuD, QPSO-MuD, genetic algorithm (GA) and evolutionary programming with cloning (EP-C) algorithms. The complexity of these four heuristics-MuD (heur-MuD) is compared, expressing it through the number of computational operations necessary in order to reach the performance obtained through the maximum likelihood detector (ML)
ISBN:0780397797
9780780397798
ISSN:1943-7439
DOI:10.1109/ISSSTA.2006.311749