• DocumentCode
    2147410
  • Title

    Throughput Optimization for Cooperative Spectrum Sensing in Cognitive Radio Networks

  • Author

    Teguig, D. ; Scheers, B. ; Le Nir, V.

  • Author_Institution
    Dept. CISS, R. Mil. Acad., Brussels, Belgium
  • fYear
    2013
  • fDate
    25-27 Sept. 2013
  • Firstpage
    237
  • Lastpage
    243
  • Abstract
    In this paper, the channel utilization (throughput vs. sensing time relationship) is analyzed for cooperative spectrum sensing under different combining rules and scenarios. The combining rules considered in this study are the OR hard combining rule, the AND hard combining rule, the Equal Gain Soft combining rule and the two-bit quantized (softened hard) combining rule. For all combining rules, the detection performance, with a Gaussian distribution assumption, is expressed in two different scenarios, CPUP (Constant Primary User Protection) and CSUSU (Constant Secondary User Spectrum Usability). A comparison, based on simulations, is conducted between these proposed schemes in both scenarios, in terms of detection performance and throughput capacity of the CR network.
  • Keywords
    Gaussian distribution; cognitive radio; radio spectrum management; signal detection; AND hard combining rule; Equal Gain Soft combining rule; Gaussian distribution assumption; OR hard combining rule; cognitive radio networks; constant primary user protection; constant secondary user spectrum usability; cooperative spectrum sensing; softened hard combining rule; throughput optimization; two-bit quantized combining rule; Cascading style sheets; Cognitive radio; Diversity reception; Optimization; Sensors; Signal to noise ratio; Throughput; Capacity; Cognitive Radio; Combining Rules; Cooperative Spectrum Sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Next Generation Mobile Apps, Services and Technologies (NGMAST), 2013 Seventh International Conference on
  • Conference_Location
    Prague
  • Type

    conf

  • DOI
    10.1109/NGMAST.2013.50
  • Filename
    6658131