Immune clonal selection algorithm for multiuser detection in DS-CDMA systems

Authors:
Maoguo Gong;Haifeng Du;Licheng Jiao;Ling Wang
Affiliations:
Institute of Intelligent Information Processing and National Key Lab of Radar Signal Processing, Xidian University, Xi'an, China;Institute of Intelligent Information Processing and National Key Lab of Radar Signal Processing, Xidian University, Xi'an, China;Institute of Intelligent Information Processing and National Key Lab of Radar Signal Processing, Xidian University, Xi'an, China;Institute of Intelligent Information Processing and National Key Lab of Radar Signal Processing, Xidian University, Xi'an, China
Venue:
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Year:
2004

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Abstract

Based on the Antibody Clonal Selection Theory of immunology, we put forward a novel artificial immune system algorithm, Immune Clonal Selection Algorithm for Multiuser Detection in DS-CDMA Systems The performance of the new detector, named by ICSMUD, is evaluated via computer simulations When compared with Optimal Multiuser detection, ICSMUD can reduce the computational complexity significantly When compared with detectors based on Standard Genetic Algorithm and A Novel Genetic Algorithm, ICSMUD has the best performance in eliminating multiple-access interference and “near-far” resistance and performs quite well even when the number of active users and the packet length are considerably large.