• DocumentCode
    2443998
  • Title

    A hybrid ARQ scheme using LDPC codes with stochastic decoding

  • Author

    Kuo-Lun Huang ; Gaudet, Vincent C. ; Salehi, Masoud

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
  • fYear
    2015
  • fDate
    18-20 March 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Stochastic decoding is a hardware and energy-efficient approach to implement iterative decoders. We use this decoding method in an Automatic Repeat reQuest (ARQ) scheme to improve the performance of Low-Density Parity-Check (LDPC) decoders. We show that, aside from the simplicity in hardware implementations, stochastic decoding results in improved error rate performance and requires fewer retransmissions than other iterative decoding algorithms when used in a Hybrid Automatic Repeat reQuest (HARQ) system. We present an analysis of the error rate improvement and decoding latency of the HARQ scheme using stochastic decoding. We also provide a criterion to efficiently allocate the available decoding cycles to the decoding attempts in the HARQ system in order to achieve lower error rates and less decoding latency.
  • Keywords
    automatic repeat request; iterative decoding; parity check codes; stochastic processes; HARQ system; LDPC codes; energy efficient; hardware efficient; hybrid automatic repeat request system; iterative decoding algorithms; low-density parity-check decoders; stochastic decoding; Automatic repeat request; Bit error rate; Decoding; Iterative decoding; Stochastic processes; Automatic repeat request (ARQ); iterative decoding; low-density parity-check (LDPC) codes; stochastic computation; stochastic decoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems (CISS), 2015 49th Annual Conference on
  • Conference_Location
    Baltimore, MD
  • Type

    conf

  • DOI
    10.1109/CISS.2015.7086427
  • Filename
    7086427