• DocumentCode
    2122359
  • Title

    Blind multiband spectrum sensing in cognitive radio network

  • Author

    Jing, Yuan ; Yang, Xiaofeng ; Ma, Li ; Ma, Ji ; Niu, Bin

  • Author_Institution
    Sch. of Inf., Liaoning Univ., Shenyang, China
  • fYear
    2012
  • fDate
    21-23 April 2012
  • Firstpage
    2442
  • Lastpage
    2445
  • Abstract
    In this paper, an information theoretic criteria (ITC) based spectrum sensing method is proposed to detect the multi-primary users in cognitive radio network. Based on the theory of array signal processing, a new frequency-domain channel model of spectrum sensing is presented with multiple antennas. Then, a novel ITC-based spectrum sensing algorithm is proposed, which can blindly detect multi-primary users simultaneously in multiple frequency band, without any primary users´ prior information. Simulation results show that, the proposed method can achieve a better spectrum sensing performance than conventional methods.
  • Keywords
    array signal processing; cognitive radio; frequency-domain analysis; multifrequency antennas; ITC based spectrum sensing method; array signal processing theory; blind multiband spectrum sensing; cognitive radio network; frequency-domain channel model; information theoretic criteria; multi-primary users detection; multiple antennas; multiple frequency band; Cognitive radio; Detectors; Eigenvalues and eigenfunctions; Frequency domain analysis; Noise; cognitive network; cognitive radio; information theoretic criteria; spectrum sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4577-1414-6
  • Type

    conf

  • DOI
    10.1109/CECNet.2012.6201823
  • Filename
    6201823