• DocumentCode
    2515263
  • Title

    The structure of encoders for channels with feedback

  • Author

    Tatikonda, Sekhar

  • Author_Institution
    Yale Univ., New Haven, CT
  • fYear
    2008
  • fDate
    6-11 July 2008
  • Firstpage
    722
  • Lastpage
    726
  • Abstract
    We extend our previous work on channels with feedback to cases with partial feedback. Specifically [2], [3] treated the case of channels with memory and full output feedback. In this paper we treat the case of general channels with memory and partial deterministic feedback. One of the main difficulties in this problem has to do with the fact that the transmitter and the receiver may have different information about the state of the channel. We show how to choose appropriate sufficient statistics at both the transmitter and receiver. To this end we introduce the notion of joint sufficiency. These jointly sufficient statistics give insight into the structure of the channel encoder. We then formulate the capacity problem as an infinite horizon average cost stochastic control problem. The resulting Bellman equation leads to an implicit single-letter characterization of the capacity.
  • Keywords
    encoding; Bellman equation; capacity problem; channel memory; encoder structure; full output feedback; infinite horizon average cost stochastic control problem; single-letter characterization; Channel coding; Codes; Costs; Decoding; Equations; Kernel; Output feedback; Statistics; Stochastic processes; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2008. ISIT 2008. IEEE International Symposium on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-2256-2
  • Electronic_ISBN
    978-1-4244-2257-9
  • Type

    conf

  • DOI
    10.1109/ISIT.2008.4595081
  • Filename
    4595081