• DocumentCode
    188312
  • Title

    Channel Availability Analysis for Sensing Order Selection in CRNs with Correlated Channels

  • Author

    Ningning Jiang ; Junbo Hua

  • Author_Institution
    ISN Lab., Xidian Univ., Xi´an, China
  • fYear
    2014
  • fDate
    13-15 Oct. 2014
  • Firstpage
    454
  • Lastpage
    457
  • Abstract
    In cognitive radio networks (CRNs), channel availability is one of the key factors in constructing policies for sensing order selection. It provides information about the channel occupancy and enables second user to find the available channel efficiently. In this paper we investigate the channel availability in a CRN system with correlated channels, by introducing the concept of the conditional consecutive idle probability (CCIP) of the channel. In the scenario where the primary user´s occupancy follows M/M/c/c queue we derive the CCIP of the channel according to the historical occupancy observations of the spectrum. As an example of the application in sensing order selection, the number of consecutive idle slots (NCIS), which impacts the reward of SU, is then obtained based on the CCIP of the channel. Numerical results verify the theoretical results produced in this paper.
  • Keywords
    Markov processes; channel allocation; cognitive radio; queueing theory; radio networks; wireless channels; CCIP; CRN system; M/M/c/c queue; NCIS; channel availability analysis; channel occupancy; cognitive radio networks; conditional consecutive idle probability; correlated channels; number of consecutive idle slots; sensing order selection; Availability; Channel estimation; Cognitive radio; Computational modeling; Estimation; Markov processes; Sensors; Conditional consecutive idle probability; Markov model; Multi-channel; Opportunistic spectrum analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-6235-8
  • Type

    conf

  • DOI
    10.1109/CyberC.2014.84
  • Filename
    6984349