• DocumentCode
    1178998
  • Title

    Achieving the Empirical Capacity Using Feedback: Memoryless Additive Models

  • Author

    Shayevitz, Ofer ; Feder, Meir

  • Author_Institution
    Dept. of Electr. Eng.-Syst., Tel-Aviv Univ., Ramat-Aviv
  • Volume
    55
  • Issue
    3
  • fYear
    2009
  • fDate
    3/1/2009 12:00:00 AM
  • Firstpage
    1269
  • Lastpage
    1295
  • Abstract
    We address the problem of universal communications over an unknown channel with an instantaneous noiseless feedback, and show how rates corresponding to the empirical behavior of the channel can be attained, although no rate can be guaranteed in advance. First, we consider a discrete modulo-additive channel with alphabet X, where the noise sequence Zn is arbitrary and unknown and may causally depend on the transmitted and received sequences and on the encoder´s message, possibly in an adversarial fashion. Although the classical capacity of this channel is zero, we show that rates approaching the empirical capacity log |X|-H emp(Zn) can be universally attained, where H emp(Zn) is the empirical entropy of Zn. For the more general setting, where the channel can map its input to an output in an arbitrary unknown fashion subject only to causality, we model the empirical channel actions as the modulo-addition of a realized noise sequence, and show that the same result applies if common randomness is available. The results are proved constructively, by providing a simple sequential transmission scheme approaching the empirical capacity.
  • Keywords
    channel capacity; feedback; empirical capacity; instantaneous noiseless feedback; memoryless additive models; modulo-additive channel; sequential transmission scheme; transmitted-received sequences; Additive noise; Capacity planning; Channel capacity; Entropy; Feedback communications; Helium; Information theory; Mutual information; Power capacitors; Transmitters; Adversarial channels; arbitrarily varying channels; feedback communications; individual sequences; universal communications;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2008.2011434
  • Filename
    4787616