• DocumentCode
    2164254
  • Title

    Received signal strength based range estimation in multi-band ofdm cognitive radios

  • Author

    Çelebi, Hasari

  • Author_Institution
    Bilgisayar Muhendisligi, Gebze Yuksek Teknoloji Enstitusu, Gebze, Turkey
  • fYear
    2012
  • fDate
    18-20 April 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Spectrum is a precious resource and it has been underutilized according to the spectrum measurement campaigns. Cognitive Radio (CR) is one of the leading technologies for increasing the spectrum utilization efficiency. One of the approaches to utilize spectrum in CR networks is Dispersed Spectrum (DS) utilization method and this type of CR systems is called DS-CR systems. In this paper, Multi-Band OFDM waveform is considered for the utilization of spectrum efficiently in DS-CR systems. Similar to the other wireless networks, range estimation is a crucial task in the MB-OFDM based DS-CR networks. Hence, in this paper, received signal strength (RSS) based range estimation method is proposed and the fundamental limits of this method are investigated. More specifically, Cramer-Rao Lower Bound (CRLB) expression is derived. In addition, numerical results are presented to verify the analysis. The results show that adaptive ranging can be achieved by selecting appropriate number of dispersed bands in the proposed method for MB-OFDM based DS-CR networks.
  • Keywords
    OFDM modulation; cognitive radio; Cramer-Rao lower bound expression; dispersed spectrum utilization method; multiband OFDM cognitive radio; range estimation; received signal strength; spectrum measurement; spectrum utilization efficiency; Abstracts; OFDM; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2012 20th
  • Conference_Location
    Mugla
  • Print_ISBN
    978-1-4673-0055-1
  • Electronic_ISBN
    978-1-4673-0054-4
  • Type

    conf

  • DOI
    10.1109/SIU.2012.6204818
  • Filename
    6204818