• DocumentCode
    3119995
  • Title

    Polar codes: Robustness of the successive cancellation decoder with respect to quantization

  • Author

    Hassani, S. Hamed ; Urbanke, Rüdiger

  • fYear
    2012
  • fDate
    1-6 July 2012
  • Firstpage
    1962
  • Lastpage
    1966
  • Abstract
    Polar codes provably achieve the capacity of a wide array of channels under successive decoding. This assumes infinite precision arithmetic. Given the successive nature of the decoding algorithm, one might worry about the sensitivity of the performance to the precision of the computation. We show that even very coarsely quantized decoding algorithms lead to excellent performance. More concretely, we show that under successive decoding with an alphabet of cardinality only three, the decoder still has a threshold and this threshold is a sizable fraction of capacity. More generally, we show that if we are willing to transmit at a rate δ below capacity, then we need only c log(1/δ) bits of precision, where c is a universal constant.
  • Keywords
    channel capacity; channel coding; decoding; quantisation (signal); channel capacity; infinite precision arithmetic; polar codes; quantized decoding algorithms; successive cancellation decoder; Channel capacity; Decoding; Encoding; Quantization; Random variables; Robustness; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4673-2580-6
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2012.6283642
  • Filename
    6283642