• DocumentCode
    80584
  • Title

    Information Networks With In-Block Memory

  • Author

    Kramer, Gerhard

  • Author_Institution
    Inst. for Commun. Eng., Tech. Univ. Munchen, Munich, Germany
  • Volume
    60
  • Issue
    4
  • fYear
    2014
  • fDate
    Apr-14
  • Firstpage
    2105
  • Lastpage
    2120
  • Abstract
    A class of channels is introduced for which there is memory inside blocks of a specified length and no memory across the blocks. The multiuser model is called an information network with in-block memory (NiBM). It is shown that block-fading channels, channels with state known causally at the encoder, and relay networks with delays are NiBMs. A cut-set bound is developed for NiBMs that unifies, strengthens, and generalizes existing cut bounds for discrete memoryless networks. The bound gives new finite-letter capacity expressions for several classes of networks including point-to-point channels, and certain multiaccess, broadcast, and relay channels. Cardinality bounds on the random coding alphabets are developed that improve on existing bounds for channels with action-dependent state available causally at the encoder and for relays without delay. Finally, quantize-forward network coding is shown to achieve rates within an additive gap of the new cut-set bound for linear, additive, Gaussian noise channels, symmetric power constraints, and a multicast session.
  • Keywords
    channel capacity; fading channels; feedback; memoryless systems; multiuser channels; network coding; random codes; relay networks (telecommunication); Gaussian noise channels; NiBM; block-fading channels; cardinality bounds; cut-set bound; delays; discrete memoryless networks; finite-letter capacity expressions; in-block memory; information network; multicast session; multiuser model; point-to-point channels; quantize-forward network coding; random coding alphabets; relay networks; symmetric power constraints; Delays; Entropy; Indexes; Noise; Random variables; Relays; Vectors; Capacity; feedback; networks; relay channels;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2014.2303120
  • Filename
    6727506