• DocumentCode
    588276
  • Title

    Achieving the capacity of the N-relay Gaussian diamond network within logn bits

  • Author

    Chern, Bobbie ; Ozgur, Ayfer

  • Author_Institution
    Stanford Univ., Stanford, CA, USA
  • fYear
    2012
  • fDate
    3-7 Sept. 2012
  • Firstpage
    377
  • Lastpage
    380
  • Abstract
    We consider the N-relay Gaussian diamond network where a source node communicates to a destination node via N parallel relays. We show that several strategies can achieve the capacity of this network within O(log N) bits independent of the channel configurations and the operating SNR. The first of these strategies is partial decode-and-forward: the source node broadcasts independent messages to the relays at appropriately chosen rates, which in turn decode and forward these messages to the destination over a MAC channel. The same performance can be also achieved by compress-and-forward, quantize-map-and-forward or noisy network coding if relays quantize their observations at a decreasing resolution with N, instead of quantizing at the noise-level. The best capacity approximations currently available for this network are within O(N) bits which follow from the corresponding capacity approximations for general Gaussian relay networks.
  • Keywords
    Gaussian channels; access protocols; channel capacity; decode and forward communication; network coding; quantisation (signal); relay networks (telecommunication); Gaussian relay network; MAC channel; N-relay Gaussian diamond network capacity; SNR; capacity approximation; channel configuration; compress-and-forward; decode-and-forward; destination node; log N bits; noisy network coding; parallel relay; quantization; quantize-map-and-forward; source node communication; Approximation methods; Network coding; Noise measurement; Relays; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop (ITW), 2012 IEEE
  • Conference_Location
    Lausanne
  • Print_ISBN
    978-1-4673-0224-1
  • Electronic_ISBN
    978-1-4673-0222-7
  • Type

    conf

  • DOI
    10.1109/ITW.2012.6404697
  • Filename
    6404697