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

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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.

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Authors and Affiliations

  1. Department of Electrical Engineering, Chienkuo Technology University, Changhua, Taiwan, ROC

    Ho-Lung Hung

  2. Department of Electrical Engineering, Tunghai University, No. 181, Sec. 3, Taichung Harbor Rd., Taichung, Taiwan, ROC

    Jyh-Horng Wen

Authors
  1. Ho-Lung Hung
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  2. Jyh-Horng Wen
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Correspondence to Jyh-Horng Wen.

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Hung, HL., Wen, JH. An Adaptive Multistage Multiuser Detector for MC-CDMA Communication Systems Using Evolutionary Computation Technique. Wireless Pers Commun 53, 613–633 (2010). https://doi.org/10.1007/s11277-009-9722-3

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  • DOI: https://doi.org/10.1007/s11277-009-9722-3

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