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Multiuser Scheduling in HSDPA with Particle Swarm Optimization

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Book cover Applications of Evolutionary Computing (EvoWorkshops 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5484))

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Abstract

In this paper, a mathematical model of multiuser scheduling problem in HSDPA is developed to use in optimization process. A more realistic imperfect channel state information (CSI) feedback, which is required for this problem, in the form of a finite set of Channel Quality Indicator (CQI) values is assumed, as specified in the HSDPA standard [1]. A global optimal approach and a particle swarm optimization approach are used to solve the problem. Simulation results indicate that the performances of the two approaches are very close even though the complexity of the particle swarm optimization approach is much lower.

This work is supported by EU FP6 “GAWIND” project on Grid-enabled Automatic Wireless Network Design under grant MTKD-CT-2006-042783 and EU FP7 Marie Curie International Incoming Fellowship METOP project under grant PIIF-GA-2008-221380.

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Author information

Authors and Affiliations

  1. University of Bedfordshire, CWIND, Luton, UK

    Mehmet E. Aydin, Raymond Kwan & Jie Zhang

  2. The University of British Columbia, Vancouver, B.C., Canada, V6T 1Z4

    Cyril Leung

Authors
  1. Mehmet E. Aydin
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  2. Raymond Kwan
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  3. Cyril Leung
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  4. Jie Zhang
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Editor information

Editors and Affiliations

  1. Department of Animal Production Epidemiology and Ecology, University of Torino, Via Leonardo da Vinci 44, 10095, Grugliasco, Italy

    Mario Giacobini

  2. Quinn School of Business, Belfield, University College Dublin, Dublin 4, Ireland

    Anthony Brabazon

  3. Department of Computer Engineering, University of Parma, Viale Usberti 181/a, 43100, Parma, Italy

    Stefano Cagnoni

  4. Dalla Molle Institute for Artificial Intelligence (IDSIA), Gallelria 2, 6928, Manno-Lugano, Switzerland

    Gianni A. Di Caro

  5. School of Engineering and Applied Science,Aston Triangle, Aston University, B4 7ET, Birmingham, UK

    Anikó Ekárt

  6. Complex Adaptive Systems Group, Instituto Tecnológico de Informática, Ciudad PolitŽcnica de la Innovacin, Edif. 8G Acceso B, 46022, Valencia, Spain

    Anna Isabel Esparcia-Alcázar

  7. Next Generation Itelligent Networks Research Center (nexGIN RC), National University of Computer and Emerging Sciences (NUCES), Islamabad, Pakistan

    Muddassar Farooq

  8. Faculty of Economics and Social Sciences, Helmut-Schmidt-University, Holstenhofweg 85, 22043, Hamburg, Germany

    Andreas Fink

  9. Department of Informatics Engineering, Polo II - Pinhal de Marrocos, University of Coimbra, 3030 - 290, Coimbra, Portugal

    Penousal Machado

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© 2009 Springer-Verlag Berlin Heidelberg

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Aydin, M.E., Kwan, R., Leung, C., Zhang, J. (2009). Multiuser Scheduling in HSDPA with Particle Swarm Optimization. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2009. Lecture Notes in Computer Science, vol 5484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01129-0_8

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  • DOI: https://doi.org/10.1007/978-3-642-01129-0_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01128-3

  • Online ISBN: 978-3-642-01129-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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