• DocumentCode
    775098
  • Title

    A rate adaptive bit-loading algorithm for in-building power-line communications based on DMT-modulated systems

  • Author

    Morosi, Simone ; Marabissi, Dania ; Del Re, Enrico ; Fantacci, Romano ; Del Santo, Nicola

  • Author_Institution
    Dipt. di Elettronica e Telecomumcazioni, Universita degli Studi di Firenze
  • Volume
    21
  • Issue
    4
  • fYear
    2006
  • Firstpage
    1892
  • Lastpage
    1897
  • Abstract
    This paper deals with a variable rate discrete multitone modulation system for broadband power-line communications, based on the bit-loading algorithm proposed by Leke and Cioffi. In the proposed system a suitable least mean square channel estimator is considered, which is based on the insertion of a training sequence (TS). The proposed approach will be compared with the ideal channel estimates, showing its effectiveness. Moreover, different TS lengths will be compared. The system performance, expressed in terms of bit rate and bit-error rate, is derived by simulation with and without estimation errors. The propagation environment has been assumed as a frequency-selective multipath fading channel with additive colored Gaussian noise, according to the in-building networks model
  • Keywords
    Gaussian noise; broadband networks; carrier transmission on power lines; channel estimation; error statistics; fading channels; least mean squares methods; multipath channels; additive colored Gaussian noise; bit-error rate; broadband power-line communications; frequency-selective multipath fading channel; inbuilding power-line communications; least mean square channel estimator; rate adaptive bit-loading algorithm; training sequence insertion; variable rate discrete multitone modulation system; Additive noise; Bit error rate; Bit rate; Broadband communication; Estimation error; Fading; Frequency; Gaussian noise; OFDM modulation; System performance; Bit-loading algorithm; broadband power-line communications; discrete multitone modulation; least mean square (LMS) channel estimator;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2006.874662
  • Filename
    1705546