• DocumentCode
    3777382
  • Title

    Joint probability-algebraic decoding for tail-biting codes used in LTE system

  • Author

    Jianping Li;Wan Li

  • Author_Institution
    School of Information Engineering, Communication University of China, CUC, Beijing, China
  • Volume
    1
  • fYear
    2015
  • Firstpage
    863
  • Lastpage
    866
  • Abstract
    Tail-biting codes are the main control channel coding form for the LTE system. The WAVA algorithm is one of the widely used as the decoding algorithm of tail-biting codes. To fully make use of the information on the algebra structure of the tail-biting codes, we combined the WAVA algorithm with the algebraic decoding, and proposed a new joint probability-algebraic decoding algorithm. Simulation results show that, compared with the single probability decoding, the new algorithm has better performance on the error correction.
  • Keywords
    "Maximum likelihood decoding","Convolutional codes","Long Term Evolution","Viterbi algorithm","Encoding","Convolution"
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2015.7490877
  • Filename
    7490877