• DocumentCode
    2195521
  • Title

    Efficient resource Allocation in Cognitive Radio Network under imperfect spectrum sensing and unsecured environment

  • Author

    Behera, Seshadri Binay ; Seth, D.D.

  • Author_Institution
    School of Electronics, KIIT University, Bhubaneswar, India
  • fYear
    2015
  • fDate
    24-25 Jan. 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Cognitive radio network is one of the emerging areas in the field of next generation wireless network. This network is an alternative and more suitable solution to the high demands of resources for facilitating integrated & multimedia services. Instead of fixed spectrum allocation as it is done in conventional wireless networks, the cognitive radio network is based on dynamic spectrum allocation procedure. The success of this radio network depends on how efficiently these spectrums or the resources are allocated. Resource Allocation is one of the important and challenging issues in Cognitive Radio Network. Different techniques are used to make the allocation process efficient and most of those resource allocation solutions are based on perfect spectrum sensing conditions. If the spectrum sensing is not 100% perfect and in presence of some malicious Cognitive Radio Nodes which are pretending as Primary Users, the resource allocation mechanism becomes very challenging. In this paper, through extensive analysis, resource allocation problem is defined for such imperfect spectrum sensing & unsecured environments.
  • Keywords
    Cognitive radio; Fading; Interference; Radio transmitters; Resource management; Sensors; Cognitive Radio Nodes; Imperfect Spectrum Sensing; PUs; Resource Allocation; SU;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
  • Conference_Location
    Visakhapatnam, India
  • Print_ISBN
    978-1-4799-7676-8
  • Type

    conf

  • DOI
    10.1109/EESCO.2015.7253850
  • Filename
    7253850