• DocumentCode
    687646
  • Title

    Improving the throughput of cognitive radio networks using the broadcast approach

  • Author

    Sboui, Lokman ; Rezki, Zouheir ; Alouini, Mohamed-Slim

  • Author_Institution
    Comput., Electr., & Math. Sci. & Eng. (CEMSE) Div., King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia
  • fYear
    2013
  • fDate
    9-13 Dec. 2013
  • Firstpage
    1197
  • Lastpage
    1202
  • Abstract
    We study the impact of adopting a multi layer coding (MLC) strategy, i.e., the so-called broadcast approach (BA) on the throughput of Cognitive Radio (CR) spectrum sharing systems for general fading channels. First, we consider a scenario where the secondary transmitter, a part from the statistics, has no channel state information (CSI) of the cross link and its own link. We show that using BA improves the cognitive achievable rate compared to the outage rate provided by a single layer coding (SLC). In addition, we, also, observe numerically that 2-Layer coding achieves most of the gain. Then, we consider a situation where the secondary transmitter has a partial CSI about its own link through quantized CSI. Again, we compute the secondary achievable rate adopting the BA and highlight the improvement over SLC. Numerical results show that the advantage of MLC decreases as the rate of the feedback link increases.
  • Keywords
    broadcast communication; cognitive radio; encoding; fading channels; radio spectrum management; radio transmitters; MLC; SLC; broadcast approach; channel state information; cognitive radio networks; fading channels; feedback link; multilayer coding; partial CSI; quantized CSI; secondary transmitter; single layer coding; spectrum sharing; Convergence; Underlay cognitive radio; achievable rate; broadcast approach; fading channels; quantized CSI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2013 IEEE
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2013.6831237
  • Filename
    6831237