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Multiuser Scheduling via Dynamic Optimization

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Wired/Wireless Internet Communications (WWIC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 6074))

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Abstract

This paper studies optimal scheduling in a multiuser wireless network, allowing for simultaneous transmission of sets of users. The approach is based on dynamic optimization. The multiuser scheduling problem is solved numerically as a dynamic programming problem with user-specific power constraints, assuming deterministic channel information during a given scheduling window. The dynamic programming approach enables to solve for both an optimal discrete power allocation and scheduling. Numerical examples suggest that previous results on optimal scheduling based on decomposing a T-period scheduling problem to T separate problems do not hold in general when decomposing the problem to a smaller number of larger problems. An auction-based algorithm for distributed scheduling is proposed, achieving an optimal schedule, assuming one-at-a-time transmission.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Helsinki, P.O. Box 68, FIN-00014, Finland

    T. Heikkinen

Authors
  1. T. Heikkinen
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Electrical Engineering, Luleå University of Technology, 97187, Luleå, Sweden

    Evgeny Osipov

  2. Computer Science Department, Karlstad University, Universitetgetan 2, 65188, Karlstad, Sweden

    Andreas Kassler

  3. CEC Zurich, Kreuzplatz 20, 8008, Zurich, Switzerland

    Thomas Michael Bohnert

  4. Departament d’Arquitectura de Computadors, Universitat Politècnica de Catalunya, Avgda. Víctor Balaguer, s/n, 08800, Barcelona, Spain

    Xavier Masip-Bruin

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Heikkinen, T. (2010). Multiuser Scheduling via Dynamic Optimization. In: Osipov, E., Kassler, A., Bohnert, T.M., Masip-Bruin, X. (eds) Wired/Wireless Internet Communications. WWIC 2010. Lecture Notes in Computer Science, vol 6074. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13315-2_8

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  • DOI: https://doi.org/10.1007/978-3-642-13315-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13314-5

  • Online ISBN: 978-3-642-13315-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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