• DocumentCode
    3064393
  • Title

    Spectrum sensing and reconstruction for cognitive radio

  • Author

    Saini, Amanpreet S. ; Hu, Zhen ; Qiu, Robert

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tennessee Tech Univ., Cookeville, TN
  • fYear
    2009
  • fDate
    15-17 March 2009
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    The Federal Communications Commission (FCC) opened free "white space" spectrum on November 4, 2008. In this way, Google and other technology companies that wanted access to more free spectrum have gotten their wish. The prerequisite of the access to the free spectrum is to find this kind of spectrum. This paper deals with spectrum sensing and spectrum reconstruction under the umbrella of cognitive radio which is the smart radio to explore and exploit the free spectrum. Spectrum analyzer is used to emulate cognitive radio to do spectrum sensing. The advantage of equipment-based spectrum sensing is to perform quick and semi-continuous measurements and extract more information about the spectrum under investigation. Total variation (TV) reconstruction method is employed to rebuild the spectrum and find the boundary of the frequency band which is occupied.
  • Keywords
    cognitive radio; spectral analysers; Federal Communications Commission; cognitive radio; frequency band; semicontinuous measurements; smart radio; spectrum reconstruction; spectrum sensing; Cognitive radio; Data mining; FCC; Frequency; Performance evaluation; Reconstruction algorithms; Space technology; Spectral analysis; TV; White spaces; Spectrum sensing; cognitive radio; spectrum reconstruction; total variation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 2009. SSST 2009. 41st Southeastern Symposium on
  • Conference_Location
    Tullahoma, TN
  • ISSN
    0094-2898
  • Print_ISBN
    978-1-4244-3324-7
  • Electronic_ISBN
    0094-2898
  • Type

    conf

  • DOI
    10.1109/SSST.2009.4806806
  • Filename
    4806806