• DocumentCode
    23440
  • Title

    Imitation-Based Social Spectrum Sharing

  • Author

    Xu Chen ; Jianwei Huang

  • Author_Institution
    Sch. of Electr., Comput. & Energy Eng., Arizona State Univ., Tempe, AZ, USA
  • Volume
    14
  • Issue
    6
  • fYear
    2015
  • fDate
    June 1 2015
  • Firstpage
    1189
  • Lastpage
    1202
  • Abstract
    Dynamic spectrum sharing is a promising technology for improving the spectrum utilization. In this paper, we study how secondary users can share the spectrum in a distributed fashion based on social imitations. The imitation-based mechanism leverages the social intelligence of the secondary user crowd and only requires a low computational power for each individual user. We introduce the information sharing graph to model the social information sharing relationship among the secondary users. We propose an imitative spectrum access mechanism on a general information sharing graph such that each secondary user first estimates its expected throughput based on local observations, and then imitates the channel selection of another neighboring user who achieves a higher throughput. We show that the imitative spectrum access mechanism converges to an imitation equilibrium, where no beneficial imitation can be further carried out on the time average. Numerical results show that the imitative spectrum access mechanism can achieve efficient spectrum utilization and meanwhile provide good fairness across secondary users.
  • Keywords
    graph theory; radio spectrum management; imitation-based social spectrum sharing; imitative spectrum access mechanism; information sharing graph; secondary user; social intelligence; spectrum utilization; Channel estimation; Information management; Maximum likelihood estimation; Mobile computing; Throughput; Wireless communication; Cognitive radio; distributed spectrum access; imitation; imitation equilibrium; social intelligence;
  • fLanguage
    English
  • Journal_Title
    Mobile Computing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1233
  • Type

    jour

  • DOI
    10.1109/TMC.2014.2347052
  • Filename
    6876156