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

Maoguo Gong; Haifeng Du; Licheng Jiao; Ling Wang

doi:10.1007/978-3-540-30549-1_126

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

Maoguo Gong
, Haifeng Du
, Licheng Jiao
, Ling Wang

School of Public Policy and Administration

Xidian University

Research output: Contribution to journal › Conference article › peer-review

15 Scopus citations

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.

Original language	English
Pages (from-to)	1219-1225
Number of pages	7
Journal	Lecture Notes in Computer Science
Volume	3339
DOIs	https://doi.org/10.1007/978-3-540-30549-1_126
State	Published - 2004
Event	17th Australian Joint Conference on Artificial Intelligence, AI 2004: Advances in Artificial Intelligence - Cairns, Australia Duration: 4 Dec 2004 → 6 Dec 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.",

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AU - Gong, Maoguo

AU - Du, Haifeng

AU - Jiao, Licheng

AU - Wang, Ling

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/22944437752

U2 - 10.1007/978-3-540-30549-1_126

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M3 - 会议文章

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JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

T2 - 17th Australian Joint Conference on Artificial Intelligence, AI 2004: Advances in Artificial Intelligence

Y2 - 4 December 2004 through 6 December 2004

ER -

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

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