A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA

Mehmet E. Aydin; Raymond Kwan; Cyril Leung; Carsten Maple; Jie Zhang

doi:10.1016/j.asoc.2011.12.007

A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA

Mehmet E. Aydin
, Raymond Kwan
, Cyril Leung
, Carsten Maple
, Jie Zhang

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

1 Downloads (Pure)

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.

Original language	English
Pages (from-to)	2990-2996
Number of pages	7
Journal	Applied Soft Computing
Volume	13
Issue number	5
DOIs	https://doi.org/10.1016/j.asoc.2011.12.007
Publication status	Published - 17 May 2012

Keywords

Hybrid swarm intelligence
Multiuser scheduling
Particle swarm optimization
Resource allocation
Simulated annealing

ASJC Scopus subject areas

Software

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10.1016/j.asoc.2011.12.007

ComboTTIAccepted author manuscript, 160 KBLicence: CC BY-NC-ND

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AU - Aydin, Mehmet E.

AU - Kwan, Raymond

AU - Leung, Cyril

AU - Maple, Carsten

AU - Zhang, Jie

PY - 2012/5/17

Y1 - 2012/5/17

N2 - 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.

AB - 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.

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KW - Multiuser scheduling

KW - Particle swarm optimization

KW - Resource allocation

KW - Simulated annealing

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DO - 10.1016/j.asoc.2011.12.007

M3 - Article

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EP - 2996

JO - Applied Soft Computing

JF - Applied Soft Computing

IS - 5

ER -

A hybrid swarm intelligence algorithm for multiuser scheduling in HSDPA

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