• DocumentCode
    3237825
  • Title

    Channels that die

  • Author

    Varshney, Lav R. ; Mitter, Sanjoy K. ; Goyal, Vivek K.

  • Author_Institution
    Lab. for Inf. & Decision Syst., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2009
  • fDate
    Sept. 30 2009-Oct. 2 2009
  • Firstpage
    566
  • Lastpage
    573
  • Abstract
    Given the possibility of communication systems failing catastrophically, we investigate limits to communicating over channels that fail at random times. These channels are finite-state semi-Markov channels. We show that communication with arbitrarily small probability of error is not possible. Making use of results in finite block-length channel coding, we determine sequences of block-lengths that optimize transmission volume communicated at fixed maximum message error probabilities. A dynamic programming formulation is used to show that channel state feedback does not improve performance.
  • Keywords
    Markov processes; channel coding; dynamic programming; error statistics; sequences; state feedback; blocklength sequences; catastrophe; dynamic programming; finite blocklength channel coding; finite state semi-Markov channel; message error probability; state feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Control, and Computing, 2009. Allerton 2009. 47th Annual Allerton Conference on
  • Conference_Location
    Monticello, IL
  • Print_ISBN
    978-1-4244-5870-7
  • Type

    conf

  • DOI
    10.1109/ALLERTON.2009.5394908
  • Filename
    5394908