• DocumentCode
    3339703
  • Title

    Adaptive Channel Searching Scheme for Cooperative Spectrum Sensing in Cognitive Radio Networks

  • Author

    Guo, Chen ; Peng, Tao ; Qi, Yuan ; Wang, Wenbo

  • Author_Institution
    Wireless Signal Process. & Network Lab., Beijing Univ. of Posts & Telecommun., Beijing
  • fYear
    2009
  • fDate
    5-8 April 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The MAC-layer sensing, as a key component of spectrum sensing in cognitive radio, concerns the sensing mechanism design to determine when to sense and access which channel. An important issue of MAC-layer sensing is to find an available channel with a minimized searching delay for the cognitive transmission without any harmful interference. In this paper, we focus on this issue and propose adaptive searching scheme and cluster-based searching scheme to reduce the searching time when channel conditions are various and the cooperative sensing is applied. Moreover, the optimization of these two schemes are also developed in this paper. By adaptive selecting the searching parameters according to the current environment, the average consumed time of channel searching can be minimized, while the searching quality is also satisfied. The simulation results verify the confidence of proposed schemes and show a better searching performance when combining these two schemes.
  • Keywords
    access protocols; cognitive radio; search problems; wireless channels; MAC-layer sensing; adaptive channel cluster-based searching scheme; cognitive radio network; cooperative spectrum sensing; optimization; search delay minimization; Adaptive signal processing; Cognitive radio; Communications Society; Delay; Interference; Laboratories; Monitoring; Switches; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference, 2009. WCNC 2009. IEEE
  • Conference_Location
    Budapest
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4244-2947-9
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2009.4917558
  • Filename
    4917558