• DocumentCode
    3087010
  • Title

    Detection-interference dilemma for spectrum sensing in cognitive radio systems

  • Author

    Duan, Dongliang ; Yang, Liuqing ; Principe, Jose C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL, USA
  • fYear
    2009
  • fDate
    18-21 Oct. 2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Cognitive radio technique is proposed as a means of improving the efficiency of current spectrum allocation policy by allowing the unlicensed secondary users (SU) to access the unused spectrum resources (white band) of the licensed primary users (PU). This technique largely relies on the secondary users´ capability to detect the unused spectrum band, thus avoiding interference to the primary users. Instead of viewing the spectrum sensing as merely a detection process, in this paper, we analyze the spectrum sensing strategies from the communication perspective, with system capacity and interference as two major system performance metrics. As a result, we then discover the dilemma between PU presence detection and the interference from the SU to the PU caused by the reciprocality of the wireless channel in large-scale fading sense. To solve this dilemma, we propose a new performance criterion called utility loss function to set the threshold in spectrum sensing. Additionally, the cooperation among spectrum sensing users is shown to effectively solve the dilemma.
  • Keywords
    cognitive radio; interference (signal); radio spectrum management; cognitive radio systems; detection-interference dilemma; spectrum allocation policy; spectrum sensing; system capacity; unused spectrum band; utility loss function; Cognitive radio; Context; Interference; Large-scale systems; Optimized production technology; Performance analysis; Reliability engineering; Resource management; System performance; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference, 2009. MILCOM 2009. IEEE
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-5238-5
  • Electronic_ISBN
    978-1-4244-5239-2
  • Type

    conf

  • DOI
    10.1109/MILCOM.2009.5380023
  • Filename
    5380023