• DocumentCode
    891723
  • Title

    On the reliability function of the ideal Poisson channel with noiseless feedback

  • Author

    Lapidoth, Amos

  • Author_Institution
    Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
  • Volume
    39
  • Issue
    2
  • fYear
    1993
  • fDate
    3/1/1993 12:00:00 AM
  • Firstpage
    491
  • Lastpage
    503
  • Abstract
    A coding scheme for the channel under peak power and average power constraints on the input is presented, and its asymptotic error exponent is shown to coincide, at all rates below capacity, with the sphere packing error exponent, which, for the case at hand, is known to be unachievable without feedback for rates below the critical rate. An upper bound on the error exponent achievable with feedback is also derived and shown, under a capacity reducing average power constraint, to coincide with the error exponent achieved by the proposed coding scheme; in such a case the coding scheme is asymptotically optimal. Thus, the ideal Poisson channel, limited by a capacity-reducing average power constraint, provides a nontrivial example of a channel for which the reliability function is known exactly both with and without feedback. It is shown that a slight modification of the coding scheme to one of random transmission time can achieve zero-error probability for any rate lower than the ordinary average-error channel capacity
  • Keywords
    channel capacity; encoding; feedback; optical communication; reliability theory; telecommunication channels; asymptotic error exponent; average power constraints; channel capacity; coding scheme; direct detection optical channel; ideal Poisson channel; noiseless feedback; peak power; random transmission time; reliability function; sphere packing error exponent; upper bound; zero-error probability; Channel capacity; Dark current; Delay; Helium; Mathematical model; Memoryless systems; Optical feedback; Optical transmitters; Output feedback; Upper bound;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.212279
  • Filename
    212279