• DocumentCode
    1902871
  • Title

    Spectrum sensing algorithms in Cognitive Radio: A survey

  • Author

    Sansoy, Meenakshi ; Buttar, Avtar S.

  • Author_Institution
    ECE Dept., Punjab Inst. of Technol., Kapurthala, India
  • fYear
    2015
  • fDate
    5-7 March 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    With the rapid growth in wireless communication, the available spectrum is being congested day by day. There has been increasing demand for proper utilization of the limited and precious spectrum. Many surveys conducted show the inefficient utilization of available band of frequencies. Cognitive Radio system comes with a solution to fill the loop holes of underutilization of the spectrum. Its key function is to detect the white spaces/holes (vacant spaces) in the frequency bands which can be used by unlicensed users to enhance its spectrum efficiency. This paper reviews a number of spectrum sensing techniques in Cognitive Radio like Energy Detection, Cyclostationary Feature Detection, Matched Filter Multitaper, Wavelet Transform, Multiple antenna, etc. available in literature.
  • Keywords
    antenna arrays; cognitive radio; radio spectrum management; signal detection; wavelet transforms; cognitive radio; cyclostationary feature detection; energy detection; loop holes; matched filter multitaper; multiple antenna; spectrum sensing algorithms; unlicensed users; vacant spaces; wavelet transform; white spaces-holes; wireless communication; Band-pass filters; Cognitive radio; Matched filters; Radio frequency; Reliability; Cognitive Radio (CR); Cyclostationary Feature Detection; Energy Detection; Matched Filter Detection; Multiple Antenna Detection; Spectrum Sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Computer and Communication Technologies (ICECCT), 2015 IEEE International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-6084-2
  • Type

    conf

  • DOI
    10.1109/ICECCT.2015.7226181
  • Filename
    7226181