• DocumentCode
    2989830
  • Title

    Capacity achieving codes From randomness conductors

  • Author

    Cheraghchi, Mahdi

  • Author_Institution
    Sch. of Comput. & Commun. Sci., EPFL, Lausanne, Switzerland
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    2639
  • Lastpage
    2643
  • Abstract
    We give a general framework for construction of small ensembles of capacity achieving linear codes for a wide range of (not necessarily memoryless) discrete symmetric channels, and in particular, the binary erasure and symmetric channels. The main tool used in our constructions is the notion of randomness extractors and lossless condensers that are regarded as central tools in theoretical computer science. Same as random codes, the resulting ensembles preserve their capacity achieving properties under any change of basis. Our methods can potentially lead to polynomial-sized ensembles; however, using known explicit constructions of randomness conductors we obtain specific ensembles whose size is as small as quasipolynomial in the block length. By applying our construction to Justesen´s concatenation scheme (Justesen, 1972) we obtain explicit capacity achieving codes for BEC (resp., BSC) with almost linear time encoding and almost linear time (resp., quadratic time) decoding and exponentially small error probability. The explicit code for BEC is defined and capacity achieving for every block length.
  • Keywords
    binary codes; concatenated codes; linear codes; random processes; binary erasure channel; concatenation scheme; discrete symmetric channel; linear code; lossless condenser; randomness conductor; randomness extractor; Capacity planning; Communication channels; Computer science; Concatenated codes; Conductors; Decoding; Error probability; Linear code; Memoryless systems; Parity check codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2009. ISIT 2009. IEEE International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-4312-3
  • Electronic_ISBN
    978-1-4244-4313-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2009.5205931
  • Filename
    5205931