• DocumentCode
    640328
  • Title

    Capacity of a Structural Binary Symmetric Channel

  • Author

    Truong, Lan V. ; Szpankowski, Wojciech

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2013
  • fDate
    7-12 July 2013
  • Firstpage
    2478
  • Lastpage
    2482
  • Abstract
    Information theory traditionally deals with the problem of transmitting sequences over a communication channel and finding the maximum number of messages that a transmitter can send so that the receiver recovers these messages with arbitrarily small probability of error. However, databases of various sorts have come into existence in recent years that require the transmission of new sources of data (e.g., graphs and sets) over communication channels. Here, we investigate a communication model transmitting Erdos-Rényi (unlabeled) graphs to a destination over a Binary Symmetric Channel (BSC). We find the capacity of such a channel - called the Structural Binary Symmetric Channel (SBSC) - to be C = 1 - h(ε) where h(ε) is the binary entropy of the error bit rate ε.
  • Keywords
    entropy; error statistics; radio receivers; telecommunication channels; Erdos-Rέnyi graphs; binary entropy; communication channel; communication model; databases; error bit rate; error probability; information theory; messages; receiver; structural binary symmetric channel; Binary trees; Educational institutions; Entropy; Mutual information; Noise measurement; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
  • Conference_Location
    Istanbul
  • ISSN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2013.6620672
  • Filename
    6620672