Improved genetic Particle Swarm Optimisation multiuser detector for Multi-Carrier Code Division Multiple Access

Multi-Carrier Code Division Multiple Access (MC-CDMA) that combined Orthogonal Frequency Division Multiplexing (OFDM) with Code Division Multiple Access (CDMA) is one of the famous multiple access schemes in telecommunication system. MC-CDMA suffers from limitation of capacity due to Multiple Acces...

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Main Author:	Kho, Desmond Teck Kiang
Format:	Thesis
Published:	2013
Subjects:	QA299.6-433 Analysis
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id	my-mmu-ep.6308
record_format	uketd_dc
spelling	my-mmu-ep.63082016-01-29T04:08:15Z Improved genetic Particle Swarm Optimisation multiuser detector for Multi-Carrier Code Division Multiple Access 2013-12 Kho, Desmond Teck Kiang QA299.6-433 Analysis Multi-Carrier Code Division Multiple Access (MC-CDMA) that combined Orthogonal Frequency Division Multiplexing (OFDM) with Code Division Multiple Access (CDMA) is one of the famous multiple access schemes in telecommunication system. MC-CDMA suffers from limitation of capacity due to Multiple Access Interference (MAI). In this thesis, several conventional Multiuser Detector (MUD) strategies are applied in the MC-CDMA communication system in order to increase its capacity. A Particle Swarm Optimisation (PSO)-based MUD, namely Improved Genetic PSO (IGPSO) MUD is proposed in this thesis. Three improvement methodologies have been done on the existing PSO-based MUD. IGPSO MUD is improved from the existing PSO-based MUD, with additional of genetic operators and preferential function, as well as better selection of inertia weight and better population initialization approach. Thus, two parameters of PSO, namely neighbourhood and inertia weight, have been tuned and configured in a better way. 2013-12 Thesis http://shdl.mmu.edu.my/6308/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Engineering and Technology
institution	Multimedia University
collection	MMU Institutional Repository
topic	QA299.6-433 Analysis
spellingShingle	QA299.6-433 Analysis Kho, Desmond Teck Kiang Improved genetic Particle Swarm Optimisation multiuser detector for Multi-Carrier Code Division Multiple Access
description	Multi-Carrier Code Division Multiple Access (MC-CDMA) that combined Orthogonal Frequency Division Multiplexing (OFDM) with Code Division Multiple Access (CDMA) is one of the famous multiple access schemes in telecommunication system. MC-CDMA suffers from limitation of capacity due to Multiple Access Interference (MAI). In this thesis, several conventional Multiuser Detector (MUD) strategies are applied in the MC-CDMA communication system in order to increase its capacity. A Particle Swarm Optimisation (PSO)-based MUD, namely Improved Genetic PSO (IGPSO) MUD is proposed in this thesis. Three improvement methodologies have been done on the existing PSO-based MUD. IGPSO MUD is improved from the existing PSO-based MUD, with additional of genetic operators and preferential function, as well as better selection of inertia weight and better population initialization approach. Thus, two parameters of PSO, namely neighbourhood and inertia weight, have been tuned and configured in a better way.
format	Thesis
qualification_level	Master's degree
author	Kho, Desmond Teck Kiang
author_facet	Kho, Desmond Teck Kiang
author_sort	Kho, Desmond Teck Kiang
title	Improved genetic Particle Swarm Optimisation multiuser detector for Multi-Carrier Code Division Multiple Access
title_short	Improved genetic Particle Swarm Optimisation multiuser detector for Multi-Carrier Code Division Multiple Access
title_full	Improved genetic Particle Swarm Optimisation multiuser detector for Multi-Carrier Code Division Multiple Access
title_fullStr	Improved genetic Particle Swarm Optimisation multiuser detector for Multi-Carrier Code Division Multiple Access
title_full_unstemmed	Improved genetic Particle Swarm Optimisation multiuser detector for Multi-Carrier Code Division Multiple Access
title_sort	improved genetic particle swarm optimisation multiuser detector for multi-carrier code division multiple access
granting_institution	Multimedia University
granting_department	Faculty of Engineering and Technology
publishDate	2013
_version_	1747829626784186368

Improved genetic Particle Swarm Optimisation multiuser detector for Multi-Carrier Code Division Multiple Access

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