• DocumentCode
    3320879
  • Title

    An efficient max-log MAP algorithm for VLSI implementation of turbo decoders

  • Author

    Ardakani, Arash ; Shabany, Mahdi

  • Author_Institution
    Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
  • fYear
    2015
  • fDate
    24-27 May 2015
  • Firstpage
    1794
  • Lastpage
    1797
  • Abstract
    Long term evolution (LTE)-advanced aims the peak data rates in excess of 3 Gbps for the next generation wireless communication systems. Turbo codes, the specified channel coding scheme in LTE, suffers from a low-decoding throughput due to its iterative decoding algorithm. One efficient approach to achieve a promising throughput is to use multiple Maximum a Posteriori (MAP) cores in parallel, resulting in a large area overhead, a big drawback. The scaled Max-log MAP algorithm is a common approach to implement the MAP algorithm due to its efficient architecture with its acceptable performance. Although many works have been reported to reduce the area of the MAP unit, an efficient VLSI architecture with minimum silicon area is still missing. To address this challenge, in this paper, a novel method based on a novel form of computation is introduced, removing a single bit from computations of the max-log MAP algorithm compared to the conventional architectures. The proposed method can be applied to any max-log MAP architecture reported to-date.
  • Keywords
    Long Term Evolution; VLSI; channel coding; iterative decoding; maximum likelihood estimation; turbo codes; VLSI implementation; channel coding; iterative decoding algorithm; long term evolution; low-decoding throughput; max-log MAP algorithm; maximum a posteriori cores; next generation wireless communication systems; turbo decoders; Bit error rate; Computer architecture; Decoding; Iterative decoding; Measurement; Power demand; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/ISCAS.2015.7169003
  • Filename
    7169003