• DocumentCode
    2012544
  • Title

    A turbo decoder architecture with scalable parallelism

  • Author

    Engin, Nur

  • Author_Institution
    Philips Res. Labs., Eindhoven, Netherlands
  • fYear
    2004
  • fDate
    13-15 Oct. 2004
  • Firstpage
    298
  • Lastpage
    303
  • Abstract
    A scalable, programmable turbo decoder architecture is presented in this paper. The starting point is a comparison of the existing techniques on the basis of scalability, area and power consumption. The results from these comparisons lead to a hybrid technique on which our architecture concept is based. The architecture consists of clusters, each of which is a VLIW architecture. The upsizing is possible by adding a cluster and dividing the two data memories into banks. The window size is chosen according to the number of banks, to prevent conflicts. At the end of the paper, a short evaluation of the architecture is presented.
  • Keywords
    convolutional codes; iterative decoding; maximum likelihood decoding; parallel architectures; programmable circuits; turbo codes; MAP decoder; VLIW architecture clusters; convolutional decoders; data memory banks; data window size; iterative decoding; programmable turbo decoder; scalability; scalable parallelism; turbo decoder architecture; Computer architecture; Convolutional codes; Energy consumption; Iterative decoding; Laboratories; Mobile communication; Parallel processing; Scalability; Turbo codes; VLIW;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems, 2004. SIPS 2004. IEEE Workshop on
  • Print_ISBN
    0-7803-8504-7
  • Type

    conf

  • DOI
    10.1109/SIPS.2004.1363066
  • Filename
    1363066