• DocumentCode
    111198
  • Title

    Capacity of a POST Channel With and Without Feedback

  • Author

    Permuter, Haim H. ; Asnani, Himanshu ; Weissman, Tsachy

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
  • Volume
    60
  • Issue
    10
  • fYear
    2014
  • fDate
    Oct. 2014
  • Firstpage
    6041
  • Lastpage
    6057
  • Abstract
    We consider finite state channels, where the state of the channel is its previous output. We refer to these as Previous Output is the STate (POST) channels. We first focus on POST(α) channels. These channels have binary inputs and outputs, where the state determines if the channel behaves as a Z or an S channel, both with parameter α. We show that the nonfeedback capacity of the POST(α) channel equals its feedback capacity, despite the memory of the channel. The proof of this surprising result is based on showing that the induced output distribution, when maximizing the directed information in the presence of feedback, can also be achieved by an input distribution that does not utilize the feedback. We show that this is a sufficient condition for the feedback capacity to equal the nonfeedback capacity for any finite state channel. We show that the result carries over from the POST(α) channel to a binary POST channel, where the previous output determines whether the current channel will be binary with parameters (a, b) or (b, a). Finally, we show that, in general, feedback may increase the capacity of a POST channel.
  • Keywords
    channel capacity; convex programming; feedback; POST channel capacity; channel memory; convex optimization; directed information; feedback capacity; finite state channels; induced output distribution; nonfeedback capacity; previous output is the state; Channel capacity; Convex functions; Feeds; Markov processes; Memoryless systems; Optimization; Silicon; Causal conditioning; KKT conditions; POST channel; channels with memory; convex optimization; directed information; feedback capacity; finite state channel;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2014.2343232
  • Filename
    6866225