• DocumentCode
    23519
  • Title

    Matched filter based spectrum sensing when primary user has multiple power levels

  • Author

    Zhang Xinzhi ; Gao Feifei ; Chai Rong ; Jiang Tao

  • Author_Institution
    Key Lab. of Mobile Commun. Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China
  • Volume
    12
  • Issue
    2
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    21
  • Lastpage
    31
  • Abstract
    In this paper, we investigate the matched filter based spectrum sensing in a more reasonable cognitive radio (CR) scenario when the primary user (PU) has more than one transmit power levels, as regulated in most standards, i.e., IEEE 802.11 Series, GSM, LTE, LTE-A, etc. This new multiple primary transmit power (MPTP) scenario is specialized by two different targets: detecting the presence of PU and identifying the power level. Compared to the traditional binary sensing where only the presence of PU is checked, SU may attain more information about the primary network (making CR more “intelligent”) and design the subsequent optimization strategy. The key technology is the multiple hypothesis testing as opposed to the traditional binary hypothesis testing. We discuss two situations under whether the channel phase is known or not, and we derive the closed form solutions for decision regions and several performance metrics, from which some interesting phenomenons are observed and the related discussions are presented. Numerical examples are provided to corroborate the proposed studies.
  • Keywords
    cognitive radio; matched filters; optimisation; radio spectrum management; cognitive radio; matched filter based spectrum sensing; multiple hypothesis testing; multiple power levels; multiple primary transmit power; primary user; Matched filters; Noise; Probability; Sensors; Standards; Testing; Training; matched filter; multiple hypothesis testing; multiple primary transmit power; power mask; power recognition; spectrum sensing;
  • fLanguage
    English
  • Journal_Title
    Communications, China
  • Publisher
    ieee
  • ISSN
    1673-5447
  • Type

    jour

  • DOI
    10.1109/CC.2015.7084399
  • Filename
    7084399