• DocumentCode
    3083291
  • Title

    Analytical Lower Bounds on the Capacity of Deletion Channels

  • Author

    Rahmati, Mojtaba ; Duman, Tolga M.

  • Author_Institution
    Sch. of Electr., Comput. & Energy Eng., Arizona State Univ., Tempe, AZ, USA
  • fYear
    2011
  • fDate
    5-9 Dec. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We develop several analytical lower bounds on the capacity of deletion channels by considering independent uniformly distributed (i.u.d.) inputs and computing lower bounds on the mutual information rate between the input and output sequences. We consider the usual independent identically distributed (i.i.d.) binary deletion channel, i.i.d. deletion/substitution channel and i.i.d. deletion channel with additive white Gaussian noise (AWGN). We emphasize the importance of these results by noting that 1) our results are the first analytical bounds on the capacity of deletion-AWGN channels, 2) the results developed are the best available analytical lower bounds on the deletion/substitution case, 3) for the deletion only channel, our results compete well with the best available lower bounds for small deletion probabilities and they explicitly obtain the first order terms in the recently derived capacity expansions.
  • Keywords
    AWGN channels; channel capacity; probability; additive white Gaussian noise; analytical lower bounds; capacity expansions; deletion channels capacity; deletion probability; deletion-AWGN channels; i.i.d. deletion channel; i.i.d. substitution channel; independent identically distributed binary deletion channel; independent uniformly distributed inputs; input sequences; mutual information rate; output sequences; Capacity planning; Channel capacity; Channel models; Decoding; Entropy; Mutual information; Synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
  • Conference_Location
    Houston, TX, USA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-9266-4
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2011.6134313
  • Filename
    6134313