• DocumentCode
    2898713
  • Title

    Spectrum Sensing Design Framework Based on Cross-Layer Optimization of Detection Efficiency

  • Author

    Park, Jihoon ; Jain, Rajeev ; Cabric, Danijela

  • Author_Institution
    Dept. of Electr. Eng., Univ. of California Los Angeles, Los Angeles, CA, USA
  • fYear
    2009
  • fDate
    14-18 June 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Cross-layer optimization of the spectrum sensing (SS) sub-system in a cognitive radio (CR) is essential for achieving the best spectrum utilization because the three SS layers - sensing radio, sensing PHY and sensing MAC - jointly determine the overall performance of the SS sub-system. In this paper we introduce a function called detection efficiency that measures how much of the idle primary user spectra is actually utilized by the CR users as a function of regulatory constraints, network specifications and the parameters of the sensing radio, MAC and PHY. By optimizing these parameters to maximize detection efficiency of the SS system, the designer can compare and select the best SS design for a given wireless network requirement. By applying this design method to evaluate several design options for the SS layers, we show that cross-layer optimization can in some cases improve the detection efficiency (and therefore spectrum utilization) from 35% to as much as 99%.
  • Keywords
    cognitive radio; optimisation; cognitive radio; cross-layer optimization; detection efficiency; network specifications; regulatory constraints; sensing MAC; sensing PHY; sensing radio; spectrum sensing design; spectrum utilization; wireless network; Algorithm design and analysis; Bandwidth; Chromium; Cognitive radio; Communications Society; Design optimization; Narrowband; Physical layer; Signal design; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. ICC '09. IEEE International Conference on
  • Conference_Location
    Dresden
  • ISSN
    1938-1883
  • Print_ISBN
    978-1-4244-3435-0
  • Electronic_ISBN
    1938-1883
  • Type

    conf

  • DOI
    10.1109/ICC.2009.5199480
  • Filename
    5199480