• DocumentCode
    715423
  • Title

    Erasure/list random coding error exponents are not universally achievable

  • Author

    Weinberger, Nir ; Huleihel, Wasim ; Merhav, Neri

  • Author_Institution
    Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel
  • fYear
    2015
  • fDate
    April 26 2015-May 1 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We study the problem of universal decoding for unknown discrete memoryless channels in the presence of erasure/list option at the decoder, in the random coding regime. Specifically, we harness a universal version of Forney´s classical erasure/list decoder developed in earlier studies, which is based on the competitive minimax methodology, and guarantees universal achievability of a certain fraction of the optimum random coding error exponents. In this paper, we derive an exact single-letter expression for the maximum achievable fraction. Examples are given in which the maximal achievable fraction is strictly less than unity, which imply that, in general, there is no universal erasure/list decoder which achieves the same random coding error exponents as the optimal decoder for a known channel. This is in contrast to the situation in ordinary decoding (without the erasure/list option), where optimum exponents are universally achievable, as is well known. It is also demonstrated that previous lower bounds derived for the maximal achievable fraction are not tight in general.
  • Keywords
    decoding; minimax techniques; random codes; Forney´s classical erasure-list decoder; discrete memoryless channels; erasure-list random coding error exponents; minimax methodology; optimal decoder; random coding error exponents; random coding regime; universal decoding; Encoding; Joints; Maximum likelihood decoding; Memoryless systems; Monte Carlo methods; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop (ITW), 2015 IEEE
  • Conference_Location
    Jerusalem
  • Print_ISBN
    978-1-4799-5524-4
  • Type

    conf

  • DOI
    10.1109/ITW.2015.7133083
  • Filename
    7133083