Multiuser detection for DS-CDMA systems using evolutionary programming

This letter introduces a new multiuser detection scheme which uses evolutionary programming (EP) to detect the user bits based on the maximum-likelihood decision rule. The major advantage of the proposed detector is that it has a lower computational complexity compared to other popular evolutionary-...

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Main Authors: Lim, H.S., Rao, M.V.C., Tan, A.W.C., Chuah, H.T.
Format: Article
Language:English
Published: 2003
Subjects:
Online Access:http://shdl.mmu.edu.my/2577/
http://shdl.mmu.edu.my/2577/1/1837.pdf
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author Lim, H.S.
Rao, M.V.C.
Tan, A.W.C.
Chuah, H.T.
author_facet Lim, H.S.
Rao, M.V.C.
Tan, A.W.C.
Chuah, H.T.
author_sort Lim, H.S.
building MMU Institutional Repository
collection Online Access
description This letter introduces a new multiuser detection scheme which uses evolutionary programming (EP) to detect the user bits based on the maximum-likelihood decision rule. The major advantage of the proposed detector is that it has a lower computational complexity compared to other popular evolutionary-algorithm-based detectors. The simulation results show that the EP has always converged to the optimum solution with a small number of generations. The simulated average computational time performance demonstrates that this approach achieves practical ML performance with polynomial complexity in the number of users.
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spelling mmu-25772014-02-06T03:42:43Z http://shdl.mmu.edu.my/2577/ Multiuser detection for DS-CDMA systems using evolutionary programming Lim, H.S. Rao, M.V.C. Tan, A.W.C. Chuah, H.T. TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television This letter introduces a new multiuser detection scheme which uses evolutionary programming (EP) to detect the user bits based on the maximum-likelihood decision rule. The major advantage of the proposed detector is that it has a lower computational complexity compared to other popular evolutionary-algorithm-based detectors. The simulation results show that the EP has always converged to the optimum solution with a small number of generations. The simulated average computational time performance demonstrates that this approach achieves practical ML performance with polynomial complexity in the number of users. 2003-03 Article NonPeerReviewed text en http://shdl.mmu.edu.my/2577/1/1837.pdf Lim, H.S. and Rao, M.V.C. and Tan, A.W.C. and Chuah, H.T. (2003) Multiuser detection for DS-CDMA systems using evolutionary programming. IEEE Communications Letters, 7 (3). pp. 101-103. ISSN 1089-7798 http://dx.doi.org/10.1109/LCOMM.2002.808372 doi:10.1109/LCOMM.2002.808372 doi:10.1109/LCOMM.2002.808372
spellingShingle TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Lim, H.S.
Rao, M.V.C.
Tan, A.W.C.
Chuah, H.T.
Multiuser detection for DS-CDMA systems using evolutionary programming
title Multiuser detection for DS-CDMA systems using evolutionary programming
title_full Multiuser detection for DS-CDMA systems using evolutionary programming
title_fullStr Multiuser detection for DS-CDMA systems using evolutionary programming
title_full_unstemmed Multiuser detection for DS-CDMA systems using evolutionary programming
title_short Multiuser detection for DS-CDMA systems using evolutionary programming
title_sort multiuser detection for ds-cdma systems using evolutionary programming
topic TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
url http://shdl.mmu.edu.my/2577/
http://shdl.mmu.edu.my/2577/
http://shdl.mmu.edu.my/2577/
http://shdl.mmu.edu.my/2577/1/1837.pdf