• DocumentCode
    1283032
  • Title

    Feedback in the Non-Asymptotic Regime

  • Author

    Polyanskiy, Yury ; Poor, H. Vincent ; Verdú, Sergio

  • Author_Institution
    Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
  • Volume
    57
  • Issue
    8
  • fYear
    2011
  • Firstpage
    4903
  • Lastpage
    4925
  • Abstract
    Without feedback, the backoff from capacity due to non-asymptotic blocklength can be quite substantial for blocklengths and error probabilities of interest in many practical applications. In this paper, novel achievability bounds are used to demonstrate that in the non-asymptotic regime, the maximal achievable rate improves dramatically thanks to variable-length coding and feedback. For example, for the binary symmetric channel with capacity 1/2 the blocklength required to achieve 90% of the capacity is smaller than 200, compared to at least 3100 for the best fixed-blocklength code (even with noiseless feedback). Virtually all the advantages of noiseless feedback are shown to be achievable, even if the feedback link is used only to send a single signal informing the encoder to terminate the transmission (stop-feedback). It is demonstrated that the non-asymptotic behavior of the fundamental limit depends crucially on the particular model chosen for the “end-of-packet” control signal. Fixed-blocklength codes and related questions concerning communicating with a guaranteed delay are discussed, in which situation feedback is demonstrated to be almost useless even non-asymptotically.
  • Keywords
    block codes; channel capacity; channel coding; error statistics; variable length codes; binary symmetric channel; end-of-packet control signal; error probability; flxed blocklength code; maximal achievable rate; noiseless feedback; nonasymptotic blocklength; nonasymptotic regime feedback; single transmission; variable length coding; Channel capacity; Channel coding; Decoding; Memoryless systems; Monte Carlo methods; Random variables; Achievability bounds; Shannon theory; channel capacity; converse bounds; feedback; memoryless channels; non-asymptotic analysis; stop-feedback;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2011.2158476
  • Filename
    5961844