• DocumentCode
    2494535
  • Title

    Wavelet Based Detection of Shadow Fading in Wireless Networks

  • Author

    Sikdar, Biplab ; Long, Xiaobo

  • Author_Institution
    Rensselaer Polytech. Inst., Troy
  • fYear
    2007
  • fDate
    26-30 Nov. 2007
  • Firstpage
    305
  • Lastpage
    309
  • Abstract
    In wireless communications, shadow fading can cause at least 6 dB power loss for 10% of the time [1]. Early detection of shadow fading plays an important part in facilitating the design of adaptive data transmission schemes. We propose an accurate, on-line detection mechanism to detect a receiver entering or leaving shadow regions using simply signal strength measurements. The method is based on wavelet decomposition of signal strength time series into independent fading components. Our measurements indicate that fast fading signals have a scale invariant nature. This scale invariance of fading signals is destroyed when shadow fading, which is log-normal distributed and is independent of fast fading components, is added to the signal. An online detection mechanism is then proposed which exploits this phenomenon. Real measurements of signal strength traces are used to validate the detection mechanism.
  • Keywords
    fading channels; normal distribution; radio networks; time series; wavelet transforms; adaptive data transmission scheme; independent fading component; log-normal distribution; scale invariance; shadow fading detection; signal strength time series; wavelet decomposition; wireless communication; wireless network; Channel estimation; Data communication; Degradation; Fading; Legged locomotion; Protocols; Shadow mapping; Signal analysis; Wavelet coefficients; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-1042-2
  • Electronic_ISBN
    978-1-4244-1043-9
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2007.64
  • Filename
    4410974