• DocumentCode
    2147798
  • Title

    Adaptive Turbo-coded Modulation for Progressive Image Transmission on Flat-Fading Channels

  • Author

    Song, Dan ; Peng, Hua

  • Author_Institution
    Dept. of Inf. Eng., Zhengzhou Inf. Technol. Inst., Zhengzhou
  • fYear
    2008
  • fDate
    30-31 Dec. 2008
  • Firstpage
    318
  • Lastpage
    321
  • Abstract
    In this paper, the adaptive turbo-coded modulation is used in a joint source and channel coding (JSCC) system on flat-fading channels. Assume perfect channel estimate and instantaneous feedback, the optimal power and rate adaptation strategy is determined to achieve the minimum average distortion for progressive image transmission under the bandwidth and average power constraints. The solution requires high-complexity computer search methods. However, by adopting a discrete-rate scheme and fixing the packet error rate in each channel region, the problem can be simplified into an optimal solution for maximum throughput. Simulation results show that the proposed scheme outperforms conventional nonadaptive JSCC schemes on varying channels.
  • Keywords
    adaptive codes; channel estimation; combined source-channel coding; error statistics; fading channels; modulation coding; turbo codes; visual communication; JSCC system; adaptive turbo-coded modulation; bandwidth constraints; channel estimation; discrete-rate scheme; flat-fading channels; high-complexity computer search method; image transmission; joint source-and-channel coding; packet error rate; power constraints; rate adaptation strategy; Bandwidth; Channel coding; Computational modeling; Error analysis; Feedback; Image communication; Modulation coding; Search methods; Throughput; Turbo codes; Turbo-coded modulation; adaptive transmission; flat-fading channels; progressive image transmission;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MultiMedia and Information Technology, 2008. MMIT '08. International Conference on
  • Conference_Location
    Three Gorges
  • Print_ISBN
    978-0-7695-3556-2
  • Type

    conf

  • DOI
    10.1109/MMIT.2008.132
  • Filename
    5089123