2.50
Hdl Handle:
http://hdl.handle.net/10547/224471
Title:
A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA
Authors:
Aydin, Mehmet Emin ( 0000-0002-4890-5648 ) ; Kwan, Raymond; Leung, Cyril; Maple, Carsten; Zhang, Jie
Abstract:
Multiuser scheduling is an important aspect in the performance optimization of a wireless network since it allows multiple users to access a shared channel efficiently by exploiting multiuser diversity. To perform efficient scheduling, channel state information (CSI) for users is required, and is obtained via their respective feedback channels. In this paper, a more realistic imperfect CSI feedback, in the form of a finite set of Channel Quality Indicator (CQI) values, is assumed as specified in the HSDPA standard. A mathematical model of the problem is developed for use in the optimization process. A hybrid heuristic approach based on particle swarm optimization and simulated annealing is used to solve the problem. Simulation results indicate that the hybrid approach outperforms individual implementations of both simulated annealing and particle swarm optimisation.
Affiliation:
University of Bedfordshire
Citation:
Aydin, M.E., Kwan, R., Leung, C., Maple, C. & Zhang, J. (2012) 'A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA', Applied Soft Computing.
Publisher:
Elsevier
Journal:
Applied Soft Computing
Issue Date:
17-May-2012
URI:
http://hdl.handle.net/10547/224471
DOI:
10.1016/j.asoc.2011.12.007
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S1568494611004911
Type:
Article
Language:
en
ISSN:
15684946
Appears in Collections:
Centre for Research in Distributed Technologies (CREDIT)

Full metadata record

DC FieldValue Language
dc.contributor.authorAydin, Mehmet Eminen_GB
dc.contributor.authorKwan, Raymonden_GB
dc.contributor.authorLeung, Cyrilen_GB
dc.contributor.authorMaple, Carstenen_GB
dc.contributor.authorZhang, Jieen_GB
dc.date.accessioned2012-05-17T16:11:37Z-
dc.date.available2012-05-17T16:11:37Z-
dc.date.issued2012-05-17-
dc.identifier.citationAydin, M.E., Kwan, R., Leung, C., Maple, C. & Zhang, J. (2012) 'A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA', Applied Soft Computing.en_GB
dc.identifier.issn15684946-
dc.identifier.doi10.1016/j.asoc.2011.12.007-
dc.identifier.urihttp://hdl.handle.net/10547/224471-
dc.description.abstractMultiuser scheduling is an important aspect in the performance optimization of a wireless network since it allows multiple users to access a shared channel efficiently by exploiting multiuser diversity. To perform efficient scheduling, channel state information (CSI) for users is required, and is obtained via their respective feedback channels. In this paper, a more realistic imperfect CSI feedback, in the form of a finite set of Channel Quality Indicator (CQI) values, is assumed as specified in the HSDPA standard. A mathematical model of the problem is developed for use in the optimization process. A hybrid heuristic approach based on particle swarm optimization and simulated annealing is used to solve the problem. Simulation results indicate that the hybrid approach outperforms individual implementations of both simulated annealing and particle swarm optimisation.en_GB
dc.language.isoenen
dc.publisherElsevieren_GB
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S1568494611004911en_GB
dc.rightsArchived with thanks to Applied Soft Computingen_GB
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectmultiuser schedulingen
dc.subjectwireless networksen
dc.subjectchannel state informationen
dc.subjectchannel quality indicatoren
dc.subjectHSDPAen
dc.subjectparticle swarm optimizationen
dc.subjectsimulated annealingen
dc.titleA hybrid swarm intelligence algorithm for multiuser scheduling in HSDPAen
dc.typeArticleen
dc.contributor.departmentUniversity of Bedfordshireen_GB
dc.identifier.journalApplied Soft Computingen_GB
This item is licensed under a Creative Commons License
Creative Commons
All Items in UOBREP are protected by copyright, with all rights reserved, unless otherwise indicated.