• DocumentCode
    3070391
  • Title

    On the deletion channel with small deletion probability

  • Author

    Kanoria, Yashodhan ; Montanari, Andrea

  • Author_Institution
    Depts. of Electr. Eng., Stanford Univ., Stanford, CA, USA
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    1002
  • Lastpage
    1006
  • Abstract
    The deletion channel is the simplest point-to-point communication channel that models lack of synchronization. Despite significant effort, little is known about its capacity, and even less about optimal coding schemes. In this paper we initiate a new systematic approach to this problem, by demonstrating that capacity can be computed in a series expansion for small deletion probability.We compute two leading terms of this expansion, and show that capacity is achieved, up to this order, by i.i.d. uniform random distribution of the input. We think that this strategy can be useful in a number of capacity calculations.
  • Keywords
    channel capacity; channel coding; probability; synchronisation; telecommunication channels; channel capacity; channel coding; deletion channel; optimal coding schemes; point-to-point communication channel; small deletion probability; synchronization; systematic approach; uniform random distribution; Capacity planning; Codes; Communication channels; Concrete; Distributed computing; Information theory; Mutual information; Probability; Statistics; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513745
  • Filename
    5513745