• DocumentCode
    639289
  • Title

    Comparative study of spectrum sensing techniques in cognitive radio networks

  • Author

    Khan, Faraz ; Nakagawa, Koichi

  • Author_Institution
    Dept. of Electr. Eng., Nagaoka Univ. of Technol., Nagaoka, Japan
  • fYear
    2013
  • fDate
    22-24 June 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Traditional wireless networks including wireless sensor networks working in an unlicensed spectrum band are suffered from uncontrolled interference, as this unlicensed spectrum band gets crowded day by day. This problem is not because of spectrum band deficiency, rather it is because of the misuse/inefficient usage of the spectrum bands i.e., fixed spectrum assignment policy. Cognitive Radio (CR) is a promising technology to solve this challenging spectrum allocation problem. The CR opportunistically access vacant spectrum bands in a licensed spectrum. When the current band/channel becomes unavailable, the device can switch to another available channel. However, for the realization of the cognitive radio networks, spectrum sensing is the ground work and also regulatory bodies need to adopt flexible and non-fixed policies & techniques. In this paper, we analyze different spectrum sensing techniques to detect the presence of the Primary User (PU). The techniques covered in this paper are fuzzy logic cooperative spectrum sensing, asynchronous cooperative spectrum sensing, cooperative spectrum sensing based on network coding, cooperative spectrum sensing with relay diversity, and distributed cooperative spectrum sensing based network coding.
  • Keywords
    cognitive radio; diversity reception; fuzzy logic; network coding; radio spectrum management; radiofrequency interference; signal detection; wireless sensor networks; asynchronous cooperative spectrum sensing; cognitive radio networks; distributed cooperative spectrum sensing; fixed spectrum assignment policy; fuzzy logic; network coding; relay diversity; spectrum allocation problem; spectrum band deficiency; uncontrolled interference; unlicensed spectrum band; wireless sensor networks; Cognitive radio; Fuzzy logic; Mathematical model; Relays; Sensors; Signal to noise ratio; Time-frequency analysis; Cognitive Radio Networks; Cooperative Spectrum Sensing; Distributed Sensing; Fuzzy Logic based Spectrum Sensing; Relay based Spectrum Sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (WCCIT), 2013 World Congress on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4799-0460-0
  • Type

    conf

  • DOI
    10.1109/WCCIT.2013.6618728
  • Filename
    6618728