• DocumentCode
    3131584
  • Title

    Continuous time channels with interference

  • Author

    Ivan, Ioana ; Mitzenmacher, Michael ; Thaler, Justin ; Yuen, Henry

  • Author_Institution
    Comput. Sci. & Artificial Intell. Lab., MIT, Cambridge, MA, USA
  • fYear
    2012
  • fDate
    1-6 July 2012
  • Firstpage
    860
  • Lastpage
    864
  • Abstract
    Khanna and Sudan [2] studied a natural model of continuous time channels where signals are corrupted by the effects of both noise and delay, and showed that, surprisingly, in some cases both are not enough to prevent such channels from achieving unbounded capacity. Inspired by their work, we consider channels that model continuous time communication with adversarial delay errors. The sender is allowed to subdivide time into an arbitrarily large number M of micro-units in which binary symbols may be sent, but the symbols are subject to unpredictable delays and may interfere with each other. We model interference by having symbols that land in the same micro-unit of time be summed, and we study k-interference channels, which allow receivers to distinguish sums up to the value k. We consider both a channel adversary that has a limit on the maximum number of steps it can delay each symbol, and a more powerful adversary that only has a bound on the average delay. We give precise characterizations of the threshold between finite and infinite capacity depending on the interference behavior and on the type of channel adversary: for max-bounded delay, the threshold is at Dmax = Θ (M log (min{k, M})), and for average bounded delay the threshold is at Davg = Θ (√(M min{k, M})).
  • Keywords
    channel capacity; continuous time systems; delays; interference (signal); adversarial delay errors; average bounded delay; binary symbols; channel adversary; continuous time channels; continuous time communication; k-interference channels; max bounded delay; unbounded capacity; Channel capacity; Decoding; Delay; Indexes; Interference; Noise; Receivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4673-2580-6
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2012.6284683
  • Filename
    6284683