• DocumentCode
    1290941
  • Title

    Improved Energy Detectors for Cognitive Radios With Randomly Arriving or Departing Primary Users

  • Author

    Beaulieu, Norman C. ; Chen, Yunfei

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
  • Volume
    17
  • Issue
    10
  • fYear
    2010
  • Firstpage
    867
  • Lastpage
    870
  • Abstract
    New and improved energy detectors for cognitive radios are derived by considering the effect of the primary user traffic on spectrum sensing. The new energy detectors are designed based on the assumption that the primary user randomly arrives or departs during the sensing period. Numerical results show that the new energy detector outperforms the conventional energy detector in all the cases examined. The performance gain depends on the operating signal-to-noise ratio as well as the sample size used.
  • Keywords
    cognitive radio; telecommunication traffic; cognitive radio; departing primary users; energy detectors; primary user traffic; randomly arriving users; spectrum sensing; Approximation methods; Artificial neural networks; Cognitive radio; Detectors; Iron; Performance gain; Permission; Postal services; Power engineering and energy; Radio access networks; Random variables; Signal to noise ratio; Traffic control; Cognitive radio; energy detector; primary user;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2010.2064768
  • Filename
    5545397