NDLI: Performance of a novel evolutionary genetic-based multi-user detector for multi-carrier CDMA communication systems

Content Provider	Springer Nature Link
Author	Huang, Yung Fa Tan, Tan Hsu Cheng, Chia Hsin Lai, Wei Chen Chen, Hsing Chung
Copyright Year	2015
Abstract	In this paper, we investigate the performance of a modified evolutionary multi-user detector (MUD) in multi-carrier direct-sequence code-division multiple-access (MC-CDMA) communication systems over frequency-selective fading channels. The genetic algorithm (GA), which tries to reduce the complexity in optimal detection due to greedy exhausted searching, performs using the adequate sub-optimal multi-user detector for MC-CDMA systems. In this paper, we propose a forcing mutation scheme for the genetic algorithm (GA) to perform a forcing mutation evolutionary multi-user detector (FME-MUD) and to largely reduce computational complexity. Simulation results show that with six generations, the proposed FME-MUD scheme outperforms the conventional GA-MUD, especially at heavy system loads.
Starting Page	1031
Ending Page	1039
Page Count	9
File Format	PDF
ISSN	14327643
Journal	Soft Computing
Volume Number	21
Issue Number	4
e-ISSN	14337479
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-08-19
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	MC-CDMA Multi-user detection Genetic algorithm Forcing mutation evolutionary Parallel interference cancellation Computational Intelligence Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Software Geometry and Topology

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