• DocumentCode
    2625237
  • Title

    A coalitional game-inspired algorithm for resource allocation in orthogonal frequency division multiple access

  • Author

    Shams, Farshad ; Bacci, Giacomo ; Luise, Marco

  • Author_Institution
    Dept. Comput. Sci. & Eng., IMT Inst. for Adv. Studies, Lucca, Italy
  • fYear
    2010
  • fDate
    12-15 April 2010
  • Firstpage
    238
  • Lastpage
    245
  • Abstract
    This work investigates the problem of resource allocation (in terms of transmit powers and subchannel assignment) in the uplink channel of an orthogonal frequency division multiple access (OFDMA) network, populated by mobile users with constraints in terms of target transmit data rates. The optimization problem is tackled with the analytical tools of coalitional game theory, and a simple and practical algorithm based on Markov modeling is introduced. The proposed algorithm allows the mobile devices to fulfill their data rate demands with minimum utilization of the network resources. Simulation results are provided to validate the theoretical analysis for practical OFDMA network parameters.
  • Keywords
    Markov processes; OFDM modulation; frequency division multiple access; game theory; radio networks; resource allocation; Markov modeling; OFDMA wireless network; coalitional game-inspired algorithm; mobile devices; network resources; optimization problem; orthogonal frequency division multiple access; resource allocation; uplink channel; Algorithm design and analysis; Channel capacity; Communication standards; Computer science; Data engineering; Frequency conversion; Game theory; Intrusion detection; Resource management; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Conference (EW), 2010 European
  • Conference_Location
    Lucca
  • Print_ISBN
    978-1-4244-5999-5
  • Type

    conf

  • DOI
    10.1109/EW.2010.5483424
  • Filename
    5483424