• DocumentCode
    2550797
  • Title

    The evaluation of cyclostationarity-based spectrum sensing in multipath fading channel

  • Author

    Mossa, Alfateh M. ; Jeoti, Varun

  • Author_Institution
    Electr. & Electron. Eng. Dept., Univ. Teknol. Petronas, Tronoh, Malaysia
  • fYear
    2010
  • fDate
    15-17 June 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Cognitive radio is based on dynamic spectrum sharing in order to increase spectrum efficiency. In this approach, which is opposite of the current spectrum allocation, a secondary user (unlicensed) shares a frequency band with designated primary users (licensed) without causing interference or performance degradation to the primary users. Cognitive radio needs reliable spectrum sensing techniques to detect the vacant licensed spectrum and utilize them. In this paper, we evaluate the performance of cyclostationary-based spectrum sensing algorithms in comparison with energy detector in multipath fading channel and noise uncertainty. These algorithms were developed in context of WRAN 802.22; the first cognitive radio standard, for TV-PAL and wireless microphone as the primary users. The results show a superior performance of the proposed algorithms in multipath fading channel.
  • Keywords
    cognitive radio; fading channels; signal detection; telecommunication standards; TV-PAL; WRAN 802.22; cognitive radio standard; cyclostationarity based spectrum sensing; dynamic spectrum sharing; multipath fading channel; noise uncertainty; reliable spectrum sensing; secondary user; spectrum allocation; vacant licensed spectrum; wireless microphone; Detectors; Microphones; Noise; Uncertainty; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent and Advanced Systems (ICIAS), 2010 International Conference on
  • Conference_Location
    Kuala Lumpur, Malaysia
  • Print_ISBN
    978-1-4244-6623-8
  • Type

    conf

  • DOI
    10.1109/ICIAS.2010.5716163
  • Filename
    5716163