• DocumentCode
    1359473
  • Title

    Temporal Spectrum Sharing Based on Primary User Activity Prediction

  • Author

    Sung, Ki Won ; Kim, Seong-Lyun ; Zander, Jens

  • Author_Institution
    Wireless at KTH, R. Inst. of Technol. (KTH), Kista, Sweden
  • Volume
    9
  • Issue
    12
  • fYear
    2010
  • fDate
    12/1/2010 12:00:00 AM
  • Firstpage
    3848
  • Lastpage
    3855
  • Abstract
    In this paper we investigate the opportunistic spectrum access in temporal domain where a secondary user shares a radio channel with a primary user during the OFF period of the primary user. We consider practical ON/OFF traffic models whose bursty natures are not properly described by a Markovian assumption. An optimal strategy to determine the transmission power of the secondary user is proposed, which can be adapted to any source traffic model of the primary user. This strategy will maximize the spectrum utilization of the secondary user while keeping interference violations to the primary user below a threshold. Numerical results show that the transmission power of the secondary user depends on the probability distribution of the primary traffic as well as the elapsed time of the OFF period.
  • Keywords
    Markov processes; cognitive radio; radio spectrum management; radiofrequency interference; statistical distributions; telecommunication traffic; wireless channels; Markovian assumption; ON-OFF traffic models; interference violations; opportunistic spectrum access; primary user activity prediction; probability distribution; radio channel; source traffic model; temporal spectrum sharing; Exponential distribution; Interference; Numerical models; Sensors; Synchronization; Wireless communication; Wireless sensor networks; Opportunistic spectrum access; temporal spectrum sharing; traffic model; transmission power control;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2010.101810.100433
  • Filename
    5608477