• DocumentCode
    2365429
  • Title

    Random Leader: A distributed-centralized spectrum sharing scheme in Cognitive Radios

  • Author

    Liang, Qingkai ; Sun, Gaofei ; Wang, Xinbing

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1806
  • Lastpage
    1810
  • Abstract
    In Cognitive Radio (CR) networks, Primary Users (PUs) can share their idle spectrums with Secondary Users (SUs) under certain mechanisms. Centralized schemes and market-driven mechanisms are two major considerations in solving the spectrum sharing problems in the multiple-PU scenario. Centralized schemes can achieve the social optimal spectrum allocation among multiple PUs and multiple SUs but require a central control entity, which is impractical in the CR environment due to its distributed nature. Market-driven mechanisms can be implemented in a distributed manner but are hard to obtain the social optimal spectrum utilization in the multiple-PU scenario. Furthermore, many market-driven mechanisms are not economic-robust (Incentive Compatible, Individual Rational, etc). In this paper, we propose a distributed-centralized spectrum sharing scheme based on contracts for the multiple-PU scenario, which introduces a Random Leader who is elected randomly among SUs or PUs. The distributed aspect of our scheme lies in that our scheme requires no central control entities, which can be independently implemented within a distributed spectrum market. The centralized aspect is that the leader draws up and assigns the social optimal spectrum allocation contracts as well as the payment contracts for all PUs and SUs in a centralized manner. The former contracts maximize the spectrum utilization of the whole network, and the latter contracts help attain the economic robustness of our scheme. Under the leadership of the Random Leader, those non-cooperative SUs and PUs behave in a cooperative manner, which mitigates the complexity and time overhead needed for information exchange.
  • Keywords
    cognitive radio; communication complexity; radio spectrum management; CR environment; CR networks; central control entity; cognitive radios; distributed spectrum market; distributed-centralized spectrum sharing scheme; economic robustness; information exchange; market-driven mechanisms; multiple-PU scenario; noncooperative SU; payment contracts; primary users; random leader; secondary users; social optimal spectrum allocation; social optimal spectrum allocation contracts; social optimal spectrum utilization; Cognitive radio; Complexity theory; Contracts; Economics; Lead; Resource management; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6363808
  • Filename
    6363808