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A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA

  • Mehmet E. Aydin
    ,
  • Raymond Kwan
    ,
  • Cyril Leung
    ,
  • Carsten Maple
    ,
  • Jie Zhang
  • University of British Columbia
    ,
  • University of Sheffield
Research Output: Contribution to journal Article Peer-review

Open access

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.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 2990-2996 (7 pages)

Journal (Volume, Issue Number)

Applied Soft Computing (Volume 13, Issue 5)

Publication milestones

  • Published - 17/05/2012

Publication status

Published - 17/05/2012

ISSN

1568-4946

External Publication IDs

  • handle.net: 10547/224471
  • Scopus: 84885574143

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