Aydin, Mehmet E., Kwan, Raymond, Leung, Cyril, Maple, Carsten and Zhang, Jie (2012) A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA. Applied Soft Computing, 13 (5). pp. 2990-2996. doi:10.1016/j.asoc.2011.12.007 ISSN 1568-4946.

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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 optimization.

Item Type:	Journal Article
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title:	Applied Soft Computing
Publisher:	Elsevier BV
ISSN:	1568-4946
Official Date:	May 2012
Dates:	Date Event May 2012 Published
Volume:	13
Number:	5
Page Range:	pp. 2990-2996
DOI:	10.1016/j.asoc.2011.12.007
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access

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