• DocumentCode
    2236497
  • Title

    Selective spectrum leasing in Internet of Things via Nash Bargaining Solutions

  • Author

    Biling Zhang ; Kai Chen

  • Author_Institution
    Sch. of Network Educ., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • fDate
    Oct. 30 2012-Nov. 1 2012
  • Firstpage
    841
  • Lastpage
    845
  • Abstract
    In the Internet of Things, spectrum leasing is a win-win solution for both notes which need to communicate by wireless but have no licensed bandwidth, i.e., secondary users (SUs), and nodes which own the under-utilized licensed bandwidth, i.e., primary users (PUs). In this paper, we consider a scenario where a PU would like to share a fraction of its bandwidth to only one of the SUs in exchange for cooperative transmission when the PU´s transmission rate is lower than the quality of service requirement. We cast such resource sharing problem in the framework of cooperative game, and use the Nash Bargaining Solution (NBS) and selective cooperation to achieve the optimal strategy. Analysis and numerical results show that spectrum leasing based on cooperative games is a promising paradigm.
  • Keywords
    Internet of Things; cooperative communication; game theory; Internet of Things; Nash bargaining solutions; PU transmission; cooperative game; cooperative transmission; nodes; optimal strategy; primary users; quality of service; resource sharing problem; secondary users; selective spectrum leasing; under-utilized licensed bandwidth; Bandwidth; Cognitive radio; Games; NIST; Quality of service; Relays; Internet of Things; Nash Bargaining Solution; cooperative game theory; cooperative transmission; spectrum leasing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-1855-6
  • Type

    conf

  • DOI
    10.1109/CCIS.2012.6664294
  • Filename
    6664294