• DocumentCode
    2238460
  • Title

    Generalized α-fair resource allocation in wireless networks

  • Author

    Altman, Eitan ; Avrachenkov, Konstantin ; Garnaev, Andrey

  • Author_Institution
    INRIA, Sophia Antipolis, France
  • fYear
    2008
  • fDate
    9-11 Dec. 2008
  • Firstpage
    2414
  • Lastpage
    2419
  • Abstract
    The classical water filling problem is concerned with optimally assigning powers over n independent channels so as to maximize the total transmitted throughput. If each channel is associated with another mobile then it is natural to consider also the problem of fair assignment and to study tradeoffs between fairness and optimality. The object which is allocated is the transmission power, and we are interested in assigning it so as to obtain fairness between either one of three resulting performance measures: the signal to noise ratio, a shifted version of it, or the Shannon capacity. We suggest the generalized α-fairness concept. We obtain explicit solutions for and insight on the fair assignment corresponding to the various performance measures. For the case of a large number of users we consider a variational formulation of the problem. The variational formulation allows us to design distributed resource allocation algorithms.
  • Keywords
    channel capacity; mobile radio; resource allocation; Shannon capacity; classical water filling problem; distributed resource allocation algorithms; fair assignment; generalized α-fair resource allocation; wireless networks; Algorithm design and analysis; Base stations; Filling; Optimal control; Power measurement; Resource management; Signal to noise ratio; Throughput; Water resources; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
  • Conference_Location
    Cancun
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3123-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2008.4738709
  • Filename
    4738709