• DocumentCode
    2077938
  • Title

    Novel energy-efficient reporting scheme for spectrum sensing results in cognitive radio

  • Author

    Althunibat, Saud ; Granelli, Fabrizio

  • Author_Institution
    DISI, Univ. of Trento, Trento, Italy
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    2438
  • Lastpage
    2442
  • Abstract
    Energy efficiency during spectrum sensing in cognitive radio has received a lot of attention during recent years. Such issue becomes challenging, especially with battery-powered terminals, because of its direct influence on achievable performance represented by detection accuracy. In this paper, we present a novel reporting scheme for spectrum sensing results, which significantly reduces the energy consumption without any effect on the detection accuracy. The proposed scheme is based on the observation that sensing results are consecutively reported to a Fusion Center (FC), which allows the FC to terminate the process whenever the received results are enough to make a decision according to the employed Fusion Rule (FR). Hence, the energy consumed in results´ reporting is reduced as the number of reporting users is lower. Mathematical expressions for the average number of reporting users for several FRs are obtained. Simulation and analytical results show a significant reduction of the energy consumption.
  • Keywords
    cognitive radio; energy conservation; mathematical analysis; radio spectrum management; sensor fusion; signal detection; FC; FR; battery-powered terminal; cognitive radio; energy consumption; energy-efficient reporting scheme; fusion center; fusion rule; mathematical expression; spectrum sensing result; Cognitive radio; Data communication; Energy consumption; Proposals; Sensors; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2013.6654897
  • Filename
    6654897