• DocumentCode
    2943920
  • Title

    Collaborative spectrum sensing: Optimising the number of collaborating users

  • Author

    Arshad, Kamran ; Moessner, Klaus

  • Author_Institution
    Centre for Commun. Syst. Res., Univ. of Surrey, Guildford, UK
  • fYear
    2009
  • fDate
    10-12 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In the IEEE 802.22 standard, the spectrum sensing mechanism is identified as a key functionality of a cognitive radio. Due to the channel uncertainty, a single cognitive user, in most cases, can not make a reliable decision and hence collaboration or cooperation of and among multiple users is required. However, when large number of cognitive users are collaborating with each other, the bandwidth requirements for sending their result to the fusion centre tends to be very large. In this paper, a metric for spectrum efficiency is defined and used for the optimisation of collaborative spectrum sensing. An optimisation algorithm is presented to calculate the optimal number of collaborating cognitive users with the aim to maximise overall spectrum efficiency by satisfying certain constraints in terms of global probability of detection and probability of false alarm. Numerical results show that for maximum spectrum efficiency collaboration of only a subset of the available cognitive users is required.
  • Keywords
    cognitive radio; optimisation; probability; radio spectrum management; wireless channels; IEEE 802.22 standard; channel uncertainty; cognitive radio; collaborating user; collaborative spectrum sensing; false alarm detection probability; fusion centre; optimisation algorithm; spectrum efficiency; Cognitive radio; Collaboration; Fading; Optimization; Probability; Sensors; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Wireless Systems (UKIWCWS), 2009 First UK-India International Workshop on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4577-0182-5
  • Type

    conf

  • DOI
    10.1109/UKIWCWS.2009.5749394
  • Filename
    5749394