• DocumentCode
    3330281
  • Title

    Coded narrowband transmission over noisy powerline channels

  • Author

    Mitra, Jeebak ; Lampe, Lutz

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC
  • fYear
    2009
  • fDate
    March 29 2009-April 1 2009
  • Firstpage
    143
  • Lastpage
    148
  • Abstract
    Powerline communication (PLC) channels present one of the harshest environments for efficient data transmission. In particular, asynchronous impulsive noise has been known to be one of the strongest impediments to error-free transmission over PLC channels. Most work aimed at ameliorating the degradation due to impulsive noise considers the noise impulses to be independent. In a realistic PLC channel, however, this is rarely true. This paper is concerned with the performance limits on communication over powerline channels where the noise has memory and is modeled using a partitioned Markov chain (PMC) that has been found to be well suited to describe the bursty nature of impulses of the low voltage PLC channel. In particular, expressions are derived for the cutoff rate and the bit error rate of a convolutionally coded narrowband system. They are then verified by comparing with simulation results employing typical PLC parameters, proving the utility of the expressions as a design tool.
  • Keywords
    Markov processes; carrier transmission on power lines; channel coding; error statistics; impulse noise; telecommunication channels; asynchronous impulsive noise; bit error rate; coded narrowband transmission; cutoff rate; data transmission; partitioned Markov chain; powerline communication channels; Bit error rate; Convolutional codes; Data communication; Degradation; Impedance; Low voltage; Narrowband; Power system modeling; Programmable control; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Line Communications and Its Applications, 2009. ISPLC 2009. IEEE International Symposium on
  • Conference_Location
    Dresden
  • Print_ISBN
    978-1-4244-3790-0
  • Electronic_ISBN
    978-1-4244-3792-4
  • Type

    conf

  • DOI
    10.1109/ISPLC.2009.4913419
  • Filename
    4913419