• DocumentCode
    2909885
  • Title

    Cooperative Cyclostationary Spectrum Sensing in Cognitive Radios at Low SNR Regimes

  • Author

    Derakhshani, Mahsa ; Nasiri-kenari, Masoumeh ; Le-Ngoc, Tho

  • Author_Institution
    Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
  • fYear
    2010
  • fDate
    23-27 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The paper proposes efficient cooperative cyclostationary spectrum sensing schemes in which each secondary user (SU) performs single-cycle cyclostationary detection for fast and simple implementation, while collaboration between SUs in final decision on the presence or absence of the primary user (PU) is explored to improve its performance. As the SUs simultaneously measure the spectral correlation functions at different cycle frequencies (CF) and exchange their information regarding the measured results, a sufficient number of CFs are effectively examined in a short period of time because of parallel searching, which makes the proposed cooperative spectrum sensing more reliable and faster. Performance of the proposed schemes in terms of false-alarm and detection probabilities and deflection coefficients is evaluated by analysis and simulation in AWGN, fading and shadowing channels. Illustrative results show that the proposed schemes outperform both single-cycle (SC) and multi-cycle (MC) cyclostationary detectors, especially in fading and shadowing channels.
  • Keywords
    AWGN channels; cognitive radio; fading channels; probability; AWGN channel; cognitive radio; cooperative cyclostationary spectrum sensing; deflection coefficient; detection probability; fading channel; false-alarm probability; low SNR regime; shadowing channel; single-cycle cyclostationary detection; spectral correlation function; AWGN; Analytical models; Cognitive radio; Collaboration; Detectors; Fading; Frequency measurement; Performance analysis; Shadow mapping; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2010 IEEE International Conference on
  • Conference_Location
    Cape Town
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4244-6402-9
  • Type

    conf

  • DOI
    10.1109/ICC.2010.5502481
  • Filename
    5502481