Abstract
In this paper, we investigate the performance of a modified evolutionary multi-user detector (MUD) in multi-carrier direct-sequence code-division multiple-access (MC-CDMA) communication systems over frequency-selective fading channels. The genetic algorithm (GA), which tries to reduce the complexity in optimal detection due to greedy exhausted searching, performs using the adequate sub-optimal multi-user detector for MC-CDMA systems. In this paper, we propose a forcing mutation scheme for the genetic algorithm (GA) to perform a forcing mutation evolutionary multi-user detector (FME-MUD) and to largely reduce computational complexity. Simulation results show that with six generations, the proposed FME-MUD scheme outperforms the conventional GA-MUD, especially at heavy system loads.
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Acknowledgments
This work is supported by National Science Council, Taiwan, Republic of China, under Grant No. MOST 103-2213-E-324-018, MOST 103-2632-E-324-001-MY3, and MOST 103-2221-E-468-027.
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Communicated by V. Loia.
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Huang, YF., Tan, TH., Cheng, CH. et al. Performance of a novel evolutionary genetic-based multi-user detector for multi-carrier CDMA communication systems. Soft Comput 21, 1031–1039 (2017). https://doi.org/10.1007/s00500-015-1838-7
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DOI: https://doi.org/10.1007/s00500-015-1838-7