An Adaptive Multistage Multiuser Detector for MC-CDMA Communication Systems Using Evolutionary Computation Technique

Authors:
Ho-Lung Hung;Jyh-Horng Wen
Affiliations:
Department of Electrical Engineering, Chienkuo Technology University, Changhua, Taiwan, ROC;Department of Electrical Engineering, Tunghai University, Taichung, Taiwan, ROC
Venue:
Wireless Personal Communications: An International Journal
Year:
2010

Citing 9
Cited 1

Multiuser Detection

Multiuser Detection
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Performance of adaptive MC-CDMA detectors in rapidly fading Rayleigh channels

IEEE Transactions on Wireless Communications
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients

IEEE Transactions on Evolutionary Computation
Overview of multicarrier CDMA

IEEE Communications Magazine
Multicarrier DS-CDMA: a multiple access scheme for ubiquitous broadband wireless communications

IEEE Communications Magazine
MIMO MC-CDMA communications for future cellular systems

IEEE Communications Magazine
MMSE detection of multicarrier CDMA

IEEE Journal on Selected Areas in Communications
Genetically modified multiuser detection for code division multiple access systems

IEEE Journal on Selected Areas in Communications

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

Computers and Electrical Engineering

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Abstract

The main targets of multi-carrier direct sequence code division multiple access (MC-DS-CDMA) mobile communication systems are to overcome the multi-path fading influences as well as the near-far effect and to increase its capacity. Many optimal and suboptimal multi-user detection approaches have recently been proposed and analyzed in literature. Unfortunately, most of them share the drawback of requiring a practical solution. Therefore, we have presented an adaptive multistage interference cancellation structure based on the particle swarm optimization (PSO) approach in this paper, and have effectively eliminated the multi-access interference (MAI) and near-far effect, and quickly converges to global optimal solution. Simulation results show that the proposed scheme can outperform some of the existed interference cancellation methods in both the additive white Gaussian noise and the multi-path fading channels.