• DocumentCode
    28586
  • Title

    Simultaneous Schedule-Based Transmission by Primary and Secondary Users for Heavy-Traffic Cognitive Radio Networks

  • Author

    Nguyen, Gam D. ; Kompella, Sastry ; Wieselthier, Jeffrey E. ; Ephremides, Anthony

  • Author_Institution
    Inf. Technol. Div., Naval Res. Lab., Washington, DC, USA
  • Volume
    64
  • Issue
    3
  • fYear
    2015
  • fDate
    Mar-15
  • Firstpage
    1132
  • Lastpage
    1142
  • Abstract
    We develop cognitive radio networking methods for a heavy-traffic model in which the channel is always occupied by primary users. This contrasts with the interference-avoidance approach for the non-heavy-traffic model, in which primary users have idle times, and secondary users are allowed to use the channel at those idle times. We use an “underlay” approach to cognitive radio networking by allowing secondary users to share the channel with simultaneously transmitting primary users. Thus, secondary users can degrade the performance of primary users, and our goal is to ensure that the level of performance degradation is acceptable. This is accomplished by scheduling and coordinating the transmissions among users, as well as providing a safeguard for controlling the level of additional interference caused by transmissions from secondary users. We show that our methods can provide additional throughput for secondary users, while maintaining the performance of primary users at the specified level.
  • Keywords
    cognitive radio; radiofrequency interference; telecommunication traffic; cognitive radio networks; interference-avoidance; primary and users; schedule-based transmission; secondary users; Cognitive radio; Interference; Receivers; Schedules; Signal to noise ratio; Silicon; Throughput; Cognitive radio network; heavy-traffic model; interference; signal-to-interference-plus-noise ratio (SINR); spectrum sharing; threshold; transmission schedules;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2014.2327477
  • Filename
    6823728