• DocumentCode
    2333306
  • Title

    Characterization of Non-Manipulable and Pareto Optimal Resource Allocation Strategies for Interference Coupled Wireless Systems

  • Author

    Boche, Holger ; Naik, Siddharth ; Alpcan, Tansu

  • Author_Institution
    Heinrich Hertz Inst., Tech. Univ. of Berlin, Berlin, Germany
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    This paper investigates the properties of social choice functions that represent resource allocation strategies in interference coupled wireless systems. The allocated resources can be physical layer parameters such as power vectors or antenna weights. Strategy proofness and efficiency of social choice functions are used to capture the respective properties of resource allocation strategy outcomes being non-manipulable and Pareto optimal. In addition, this paper introduces and investigates the concepts of (strict) intuitive fairness and non-participation in interference coupled systems. The analysis indicates certain inherent limitations when designing strategy proof and efficient resource allocation strategies, if the intuitive fairness and non-participation are imposed. These restrictions are investigated in an analytical social choice function framework for interference coupled wireless systems. Among other results, it is shown that a strategy proof and efficient resource allocation strategy for interference coupled wireless systems cannot simultaneously satisfy continuity and the frequently encountered property of non-participation.
  • Keywords
    Pareto analysis; radiocommunication; resource allocation; Pareto optimal resource allocation strategies; antenna weights; interference coupled wireless systems; intuitive fairness; nonmanipulable resource allocation strategies; nonparticipation; power vectors; strategy proof; Algorithm design and analysis; Communications Society; Control systems; Design engineering; Game theory; Interference; Laboratories; Physical layer; Power generation economics; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2010 Proceedings IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4244-5836-3
  • Type

    conf

  • DOI
    10.1109/INFCOM.2010.5462069
  • Filename
    5462069