A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA
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Affiliation
University of BedfordshireIssue Date
2012-05-17Subjects
multiuser schedulingwireless networks
channel state information
channel quality indicator
HSDPA
particle swarm optimization
simulated annealing
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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.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
ElsevierJournal
Applied Soft ComputingAdditional Links
http://linkinghub.elsevier.com/retrieve/pii/S1568494611004911Type
ArticleLanguage
enISSN
15684946ae974a485f413a2113503eed53cd6c53
10.1016/j.asoc.2011.12.007
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Except where otherwise noted, this item's license is described as Archived with thanks to Applied Soft Computing