• DocumentCode
    310739
  • Title

    Performance of turbo codes with short frame sizes

  • Author

    Koorapaty, Havish ; Wang, Yi-Pin Eric ; Balachandran, Kumar

  • Author_Institution
    Ericsson Inc., Research Triangle Park, NC, USA
  • Volume
    1
  • fYear
    1997
  • fDate
    4-7 May 1997
  • Firstpage
    329
  • Abstract
    Parallel concatenated convolutional codes (turbo codes) have been shown to yield very good performance for long block sizes. We consider the applicability of such codes to practical mobile communication scenarios, where block sizes for speech or control functions are typically short. We compare the performance of turbo codes with convolutional codes that incur similar decoding complexity. For representative cases, we show that convolutional coding performs better than turbo coding when frame sizes are below a threshold
  • Keywords
    Gaussian channels; Rayleigh channels; Viterbi decoding; computational complexity; concatenated codes; convolutional codes; land mobile radio; maximum likelihood decoding; AWGN channels; Rayleigh fading channels; Viterbi decoding; decoding complexity; maximum likelihood decoding; mobile communication; parallel concatenated convolutional codes; short frame sizes; turbo codes; Concatenated codes; Convolutional codes; Error correction; Fading; Iterative decoding; Maximum likelihood decoding; Mobile communication; Size control; Speech coding; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 1997, IEEE 47th
  • Conference_Location
    Phoenix, AZ
  • ISSN
    1090-3038
  • Print_ISBN
    0-7803-3659-3
  • Type

    conf

  • DOI
    10.1109/VETEC.1997.596374
  • Filename
    596374