• DocumentCode
    1013917
  • Title

    Innovative model for time-varying power line communication channel response evaluation

  • Author

    Barmada, Sami ; Musolino, Antonino ; Raugi, Marco

  • Author_Institution
    Dept. of Electr. Syst. & Autom., Pisa Univ., Italy
  • Volume
    24
  • Issue
    7
  • fYear
    2006
  • fDate
    7/1/2006 12:00:00 AM
  • Firstpage
    1317
  • Lastpage
    1326
  • Abstract
    This work presents a channel model for the broadband characterization of power lines in presence of time variation of the loads. The model is characterized by taking into account both measured and geometrical channel characteristics and can easily be used to take into account also the presence of noise. The channel is described by a two-port equivalent described by a scattering matrix determined from a wavelet-based expansion of the input and output quantities. Upper and lower bounds for the response of the channel in presence of time-varying loads are determined in a fast and efficient way avoiding time consuming Monte Carlo simulations. The bounds determination allows the estimate of noteworthy quantities for the tuning of currently used modulation schemes for power lines communications such as orthogonal frequency-division multiplexing.
  • Keywords
    Monte Carlo methods; S-matrix theory; carrier transmission on power lines; time-varying channels; two-port networks; wavelet transforms; Monte Carlo simulation; channel response evaluation; geometrical channel characteristics; innovative model; power line communication; scattering matrix; time-varying load; two-port equivalent; wavelet-based expansion; Attenuation; Communication channels; Frequency dependence; Load management; Load modeling; Power line communications; Programmable control; Topology; Transfer functions; Transmission line theory; Channel modeling; power line communication (PLC); scattering parameters; time variant loads;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/JSAC.2006.874426
  • Filename
    1650332