Particle swarm optimization in multi-user orthogonal frequency-division multiplexing systems

Orthogonal Frequency Division Multiplexing (OFDM) is a multicarrier modulation technique of transferring an information bit stream on several sub-carrier frequencies. OFDM is used in many communication systems which exhibit high spectral efficiency and robustness against multipath fading channels. H...

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Main Author:	Lye, Scott Carr Ken
Format:	Thesis
Language:	English English
Published:	2013
Subjects:	TK5101-6720 Telecommunication Including telegraphy telephone radio radar television
Online Access:	https://eprints.ums.edu.my/id/eprint/41471/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/41471/2/FULLTEXT.pdf
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id	my-ums-ep.41471
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spelling	my-ums-ep.414712024-11-11T01:15:37Z Particle swarm optimization in multi-user orthogonal frequency-division multiplexing systems 2013 Lye, Scott Carr Ken TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television Orthogonal Frequency Division Multiplexing (OFDM) is a multicarrier modulation technique of transferring an information bit stream on several sub-carrier frequencies. OFDM is used in many communication systems which exhibit high spectral efficiency and robustness against multipath fading channels. However, scheduling and resource allocation in multiuser OFDM system is complicated due to the different possibilities faced by the sub-channel assignments, furthermore the requirements for each user is not homogeneous. Therefore, it is challenging to strategically allocate radio resources and maximize system performance in a multiuser environment. Through modelling of the multiuser OFDM communication system, investigation in simulations shows that adaptive modulation in OFDM uses Channel State Information (CSI) to optimize the sub-carrier modulation scheme. While maintaining a target Bit Error Rate (BER), adaptive modulation optimizes the selection of modulation scheme and transmit power for each sub-carrier so that spectral efficiency is maximized. In this research, the overall system performance improvement is achieved by allocating the best user-to-sub-carrier combinations. To minimize the power consumption, Particle Swarm Optimization (PSO) is utilized to find the exact or near optimal resource allocation for the users. PSO is efficient in handling big solution space akin to resource allocation problems with different permutations mentioned. As a part of enhancing the performance of PSO, investigation of the control parameters effect on multi-user OFDM resource allocation is presented, resulting in particle reselection and dynamic inertia approach which shows 8 % of improvement over the standard PSO algorithm. Results also prove that the combination of both enhancements helped the algorithm to perform significantly better compared to a single enhancement. Furthermore, the introduction of PSO showed 70-75 % of power saving advantage over suboptimal resource allocation techniques. 2013 Thesis https://eprints.ums.edu.my/id/eprint/41471/ https://eprints.ums.edu.my/id/eprint/41471/1/24%20PAGES.pdf text en public https://eprints.ums.edu.my/id/eprint/41471/2/FULLTEXT.pdf text en validuser masters Universiti Malaysia Sabah Sekolah Kejuruteraan dan Teknologi Maklumat
institution	Universiti Malaysia Sabah
collection	UMS Institutional Repository
language	English English
topic	TK5101-6720 Telecommunication Including telegraphy telephone radio radar television
spellingShingle	TK5101-6720 Telecommunication Including telegraphy telephone radio radar television Lye, Scott Carr Ken Particle swarm optimization in multi-user orthogonal frequency-division multiplexing systems
description	Orthogonal Frequency Division Multiplexing (OFDM) is a multicarrier modulation technique of transferring an information bit stream on several sub-carrier frequencies. OFDM is used in many communication systems which exhibit high spectral efficiency and robustness against multipath fading channels. However, scheduling and resource allocation in multiuser OFDM system is complicated due to the different possibilities faced by the sub-channel assignments, furthermore the requirements for each user is not homogeneous. Therefore, it is challenging to strategically allocate radio resources and maximize system performance in a multiuser environment. Through modelling of the multiuser OFDM communication system, investigation in simulations shows that adaptive modulation in OFDM uses Channel State Information (CSI) to optimize the sub-carrier modulation scheme. While maintaining a target Bit Error Rate (BER), adaptive modulation optimizes the selection of modulation scheme and transmit power for each sub-carrier so that spectral efficiency is maximized. In this research, the overall system performance improvement is achieved by allocating the best user-to-sub-carrier combinations. To minimize the power consumption, Particle Swarm Optimization (PSO) is utilized to find the exact or near optimal resource allocation for the users. PSO is efficient in handling big solution space akin to resource allocation problems with different permutations mentioned. As a part of enhancing the performance of PSO, investigation of the control parameters effect on multi-user OFDM resource allocation is presented, resulting in particle reselection and dynamic inertia approach which shows 8 % of improvement over the standard PSO algorithm. Results also prove that the combination of both enhancements helped the algorithm to perform significantly better compared to a single enhancement. Furthermore, the introduction of PSO showed 70-75 % of power saving advantage over suboptimal resource allocation techniques.
format	Thesis
qualification_level	Master's degree
author	Lye, Scott Carr Ken
author_facet	Lye, Scott Carr Ken
author_sort	Lye, Scott Carr Ken
title	Particle swarm optimization in multi-user orthogonal frequency-division multiplexing systems
title_short	Particle swarm optimization in multi-user orthogonal frequency-division multiplexing systems
title_full	Particle swarm optimization in multi-user orthogonal frequency-division multiplexing systems
title_fullStr	Particle swarm optimization in multi-user orthogonal frequency-division multiplexing systems
title_full_unstemmed	Particle swarm optimization in multi-user orthogonal frequency-division multiplexing systems
title_sort	particle swarm optimization in multi-user orthogonal frequency-division multiplexing systems
granting_institution	Universiti Malaysia Sabah
granting_department	Sekolah Kejuruteraan dan Teknologi Maklumat
publishDate	2013
url	https://eprints.ums.edu.my/id/eprint/41471/1/24%20PAGES.pdf https://eprints.ums.edu.my/id/eprint/41471/2/FULLTEXT.pdf
_version_	1818611408468705280

Particle swarm optimization in multi-user orthogonal frequency-division multiplexing systems

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