• DocumentCode
    2181414
  • Title

    Fair Resource Bargaining Solutions for Cooperative Multi-Operator Networks

  • Author

    Hew, Siew-Lee ; White, Langford B.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Adelaide Univ., SA
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    58
  • Lastpage
    61
  • Abstract
    The high cost associated with the rollout of 3G services encourages operators to share network infrastructure. Network sharing poses a new challenge in devising fair, efficient and Pareto-optimal resource allocation strategies to distribute system resources among users of different operators in the network. Cooperative game theory provides a framework for formulating such strategies. In this paper, we propose a model for cooperative resource allocation game in shared networks and derive a set of bargaining solutions based on the concept of preference functions that depends on the weight that players place on their own gain and the losses of others. We then extend our analysis to nonlinear utility functions
  • Keywords
    3G mobile communication; game theory; resource allocation; 3G services; Pareto-optimal resource allocation; cooperative multioperator networks; cooperative resource allocation game; fair resource bargaining solutions; network infrastructure; network sharing; nonlinear utility functions; Acceleration; Australia; Base stations; Costs; Game theory; Investments; Licenses; Multiaccess communication; Radio access networks; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2006 International Zurich Seminar on
  • Conference_Location
    Zurich
  • Print_ISBN
    1-4244-0092-9
  • Type

    conf

  • DOI
    10.1109/IZS.2006.1649078
  • Filename
    1649078