• DocumentCode
    3086445
  • Title

    Statistical Modeling of Asynchronous Impulsive Noise in Powerline Communication Networks

  • Author

    Nassar, Marcel ; Gulati, Kapil ; Mortazavi, Yousof ; Evans, Brian L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2011
  • fDate
    5-9 Dec. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Powerline distribution networks are increasingly being employed to support smart grid communication infrastructure and in-home LAN connectivity. However, their primary function of power distribution results in a hostile environment for communication systems. In particular, asynchronous impulsive noise, with levels as high as 50dB above thermal noise, causes significant degradation in communication performance. Much of the prior work uses limited empirical measurements to propose a statistical model for instantaneous statistics of asynchronous noise. In this paper, we (i) derive a canonical statistical-physical model of the instantaneous statistics of asynchronous noise based on the physical properties of the PLC network, and (ii) validate the distribution using simulated and measured PLC noise data. The results of this paper can be used to analyze, simulate, and mitigate the effect of the asynchronous noise on PLC systems.
  • Keywords
    carrier transmission on power lines; distribution networks; impulse noise; statistical analysis; thermal noise; PLC network; PLC noise data; asynchronous impulsive noise statistical modeling; canonical statistical-physical model; communication systems; in-home LAN connectivity; instantaneous statistics; powerline communication networks; powerline distribution networks; smart grid communication infrastructure; thermal noise; Data models; Interference; Mathematical model; Monte Carlo methods; Noise; Receivers; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
  • Conference_Location
    Houston, TX, USA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-9266-4
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2011.6134477
  • Filename
    6134477