• DocumentCode
    1760250
  • Title

    Functional Forwarding of Channel State Information

  • Author

    Jiening Zhan ; Gastpar, Michael

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, Berkeley, CA, USA
  • Volume
    60
  • Issue
    2
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    1008
  • Lastpage
    1018
  • Abstract
    Based on the recent compute-and-forward technique , a novel communication strategy is proposed under which functions of the channel state information are forwarded along the network. Those functions are chosen such that on the one hand, they can be efficiently forwarded, and on the other hand, they are maximally useful to the final decoder of the message. It is illustrated that there is generally a tension between these two requirements. The strategy is shown to perform well for certain classes of multilayer networks where channel state information is acquired locally at each receiver. For example, for a two-stage Gaussian relay network with local channel state information, it is shown that the proposed strategy performs optimally in a scaling-law sense, as the number of relays increases.
  • Keywords
    Gaussian channels; decoding; fading channels; relay networks (telecommunication); statistical distributions; channel state information; compute-and-forward technique; final message decoder; function forwarding; multilayer networks; scaling-law sense; two-stage Gaussian relay network; Bandwidth; Channel state information; Decoding; Fading; Government; Receivers; Relays; Channel state information (CSI); distributed computation; lattices; relay networks;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2013.2291002
  • Filename
    6665125