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Ant-colony based optimal MC-CDMA multiuser detector
Conference paper
Publication Date:
2005
Conference:
IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, 2005. (WiMob'2005). 22-24 August 2005.
Starting Page:128 , Ending Page:
132
Publisher:Institute of Electrical and Electronics Engineers
Starting Page:
Publisher:
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Abstract:
In this paper, we present a novel multiuser detection (MUD) technique based on ant colony optimization (ACO), for synchronous multi-carrier code division multiple access (MC-CDMA) systems. ACO algorithms are based on the cooperative foraging strategy of real ants. While an optimal MUD design using an exhaustive search method is prohibitively complex, we show that the ACO based MUD converges to the optimal MUD BER performance in relatively few iterations providing 98% saving in computational complexity.
Keywords: Code division multiple access; Error statistics; Multiuser detection; Optimisation; Ant colony; MUD technique
URL for this item:
http://hdl.handle.net/2097/4596
Publisher URL:
http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=1512827
Permissions:
Copyright 2005 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.