Dynamic resource allocation in mobile WiMAX using particle swarm optimization techniques

Allocating radio resources dynamically in wireless network is highly complex and non-linear. It becomes even more complex when the wireless network is designed for heterogeneous traffics with different quality of service (QoS) requirement like WiMAX network. In this paper, we proposed a low complex...

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Main Authors: Shu'aibu, D. S., Syed Yusof, Sharifah Kamilah, Fisal, Norsheila
Format: Article
Published: Academic Journals 2011
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Online Access:http://eprints.utm.my/id/eprint/28967/
https://academicjournals.org/journal/IJPS/article-abstract/107CA1F26846
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.289672022-01-31T08:38:08Z http://eprints.utm.my/id/eprint/28967/ Dynamic resource allocation in mobile WiMAX using particle swarm optimization techniques Shu'aibu, D. S. Syed Yusof, Sharifah Kamilah Fisal, Norsheila TK Electrical engineering. Electronics Nuclear engineering Allocating radio resources dynamically in wireless network is highly complex and non-linear. It becomes even more complex when the wireless network is designed for heterogeneous traffics with different quality of service (QoS) requirement like WiMAX network. In this paper, we proposed a low complex algorithm for subcarrier allocation in multiuser OFDM of WiMAX system. The proposed algorithm uses particle swarm optimization (PSO) technique to search subcarrier with high channel gain and allocate it to users. The proposed method has a complexity of Mlog2N for M users and N number of subcarriers using big O O(.) notation. The proposed algorithm has been compared with previous works, and it has been shown that this algorithm has an average of 22.5% less central processing unit (CPU) time usage for allocating resources. Academic Journals 2011-03-04 Article PeerReviewed Shu'aibu, D. S. and Syed Yusof, Sharifah Kamilah and Fisal, Norsheila (2011) Dynamic resource allocation in mobile WiMAX using particle swarm optimization techniques. International Journal of Physical Sciences, 6 (5). pp. 1009-1014. ISSN 1992-1950 https://academicjournals.org/journal/IJPS/article-abstract/107CA1F26846
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Shu'aibu, D. S.
Syed Yusof, Sharifah Kamilah
Fisal, Norsheila
Dynamic resource allocation in mobile WiMAX using particle swarm optimization techniques
description Allocating radio resources dynamically in wireless network is highly complex and non-linear. It becomes even more complex when the wireless network is designed for heterogeneous traffics with different quality of service (QoS) requirement like WiMAX network. In this paper, we proposed a low complex algorithm for subcarrier allocation in multiuser OFDM of WiMAX system. The proposed algorithm uses particle swarm optimization (PSO) technique to search subcarrier with high channel gain and allocate it to users. The proposed method has a complexity of Mlog2N for M users and N number of subcarriers using big O O(.) notation. The proposed algorithm has been compared with previous works, and it has been shown that this algorithm has an average of 22.5% less central processing unit (CPU) time usage for allocating resources.
format Article
author Shu'aibu, D. S.
Syed Yusof, Sharifah Kamilah
Fisal, Norsheila
author_facet Shu'aibu, D. S.
Syed Yusof, Sharifah Kamilah
Fisal, Norsheila
author_sort Shu'aibu, D. S.
title Dynamic resource allocation in mobile WiMAX using particle swarm optimization techniques
title_short Dynamic resource allocation in mobile WiMAX using particle swarm optimization techniques
title_full Dynamic resource allocation in mobile WiMAX using particle swarm optimization techniques
title_fullStr Dynamic resource allocation in mobile WiMAX using particle swarm optimization techniques
title_full_unstemmed Dynamic resource allocation in mobile WiMAX using particle swarm optimization techniques
title_sort dynamic resource allocation in mobile wimax using particle swarm optimization techniques
publisher Academic Journals
publishDate 2011
url http://eprints.utm.my/id/eprint/28967/
https://academicjournals.org/journal/IJPS/article-abstract/107CA1F26846
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