• DocumentCode
    2190995
  • Title

    On the optimality of multilevel coding and multistage decoding

  • Author

    Ingber, Amir ; Feder, Meir

  • Author_Institution
    Dept. of EE-Syst., Tel Aviv Univ., Tel Aviv, Israel
  • fYear
    2008
  • fDate
    3-5 Dec. 2008
  • Firstpage
    731
  • Lastpage
    735
  • Abstract
    Multilevel coding (MLC) is a method for constructing error correcting codes from codes with smaller alphabets. Using maximum likelihood decoding (MLD) or multistage decoding (MSD) they can be used for communication over channels with larger alphabets. It is widely known that MLC with MSD may achieve the channel capacity for many channels. Such results are based the chain rule of the mutual information. In this work we formalize the conditions in which capacity of any discrete memoryless channel (DMC) is achieved by multilevel codes with MLC and MSD. We continue by analyzing the error exponent of the MLC-MSD scheme for DMCs. It appears that even in cases where MLC with either MLD or MSD achieve the channel capacity, the error exponent may be lower than the error exponent achieved by using general codes.
  • Keywords
    channel capacity; channel coding; error correction codes; maximum likelihood decoding; memoryless systems; discrete memoryless channel capacity; error correcting codes; error exponent; maximum likelihood decoding; multilevel coding method; multistage decoding; mutual information; Channel capacity; Constellation diagram; Error analysis; Error correction codes; Error probability; Maximum likelihood decoding; Memoryless systems; Monte Carlo methods; Mutual information; Partitioning algorithms; Multilevel coding; error exponent; multistage decoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineers in Israel, 2008. IEEEI 2008. IEEE 25th Convention of
  • Conference_Location
    Eilat
  • Print_ISBN
    978-1-4244-2481-8
  • Electronic_ISBN
    978-1-4244-2482-5
  • Type

    conf

  • DOI
    10.1109/EEEI.2008.4736630
  • Filename
    4736630