• DocumentCode
    1365582
  • Title

    Zero-Rate Feedback Can Achieve the Empirical Capacity

  • Author

    Eswaran, Krishnan ; Sarwate, Anand D. ; Sahai, Anant ; Gastpar, Michael C.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, CA, USA
  • Volume
    56
  • Issue
    1
  • fYear
    2010
  • Firstpage
    25
  • Lastpage
    39
  • Abstract
    The utility of limited feedback for coding over an individual sequence of discrete memoryless channels is investigated. This study complements recent results showing how limited or noisy feedback can boost the reliability of communication. A strategy with fixed input distribution P is given that asymptotically achieves rates arbitrarily close to the mutual information induced by P and the state-averaged channel. When the capacity-achieving input distribution is the same over all channel states, this achieves rates at least as large as the capacity of the state-averaged channel, sometimes called the empirical capacity.
  • Keywords
    automatic repeat request; channel coding; telecommunication channels; arbitrarily varying channels; automatic repeat request; capacity-achieving input distribution; communication reliability; discrete memoryless channels; empirical capacity; individual sequences; noisy feedback; rateless codes; state-averaged channel; zero-rate feedback; Automatic repeat request; Communication systems; Design engineering; Feedback communications; Information theory; Memoryless systems; Mutual information; Robustness; Time varying systems; Wireless communication; Arbitrarily varying channels; common randomness; feedback communication; hybrid ARQ; individual sequences; rateless codes; universal communication;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2009.2034779
  • Filename
    5361486