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.
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© 2004 Springer-Verlag Berlin Heidelberg
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Gong, M., Du, H., Jiao, L., Wang, L. (2004). Immune Clonal Selection Algorithm for Multiuser Detection in DS-CDMA Systems. In: Webb, G.I., Yu, X. (eds) AI 2004: Advances in Artificial Intelligence. AI 2004. Lecture Notes in Computer Science(), vol 3339. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30549-1_126
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DOI: https://doi.org/10.1007/978-3-540-30549-1_126
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24059-4
Online ISBN: 978-3-540-30549-1
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