• DocumentCode
    2583306
  • Title

    Adaptive bit-interleaved coded OFDM

  • Author

    Mohammadnia-Avval, Mohammad ; Kenarsari-Anhari, Alireza ; Lampe, Lutz

  • Author_Institution
    Univ. of British Columbia, Vancouver, BC, Canada
  • fYear
    2010
  • fDate
    28-31 March 2010
  • Firstpage
    189
  • Lastpage
    194
  • Abstract
    Bit-interleaved coded orthogonal frequency division multiplexing (BIC-OFDM) is a popular transmission format for high and also some low data rate power line communication (PLC) systems. In this paper, we consider the problem of optimizing the BIC-OFDM transmitter based on channel information feedback from the receiver side. In particular, the problem of adaptive bit-loading, power allocation, and code (rate) selection for bit-error rate (BER) minimization is addressed. To this end, we first derive BER approximations for BIC-OFDM. The main difference between this analysis and many previous works on adaptive OFDM for PLC is that we include the effect of coding on BER. In the next step, we use the derived expression to formulate adaptive BIC-OFDM for BER minimization and show that the optimization problem can be solved efficiently using greedy-type algorithms. Finally, we propose a simple formula to predict the performance of the optimized system.
  • Keywords
    OFDM modulation; adaptive codes; carrier transmission on power lines; error statistics; greedy algorithms; interleaved codes; minimisation; adaptive bit-interleaved coded OFDM; bit-error rate minimization; channel information feedback; greedy-type algorithms; orthogonal frequency division multiplexing; power allocation; power line communication systems; Bit error rate; Convolution; Convolutional codes; Error analysis; Interleaved codes; OFDM; Power line communications; Programmable control; Sections; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Line Communications and Its Applications (ISPLC), 2010 IEEE International Symposium on
  • Conference_Location
    Rio de Janeiro
  • Print_ISBN
    978-1-4244-5009-1
  • Electronic_ISBN
    978-1-4244-5010-7
  • Type

    conf

  • DOI
    10.1109/ISPLC.2010.5479929
  • Filename
    5479929