A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA

Authors:
Mehmet E. Aydin;Raymond Kwan;Cyril Leung;Carsten Maple;Jie Zhang
Affiliations:
Department of Computer Science and Technology, University of Bedfordshire, Luton, LU1 3JU, UK;Institute for Research in Applicable Computing, University of Bedfordshire, Luton, LU1 3JU, UK;Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada;Institute for Research in Applicable Computing, University of Bedfordshire, Luton, LU1 3JU, UK;Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, S1 3JD, UK
Venue:
Applied Soft Computing
Year:
2013

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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.