• DocumentCode
    138687
  • Title

    Optimal partial decode-and-forward rates for stochastically degraded Gaussian relay channels

  • Author

    Gerdes, Lennart ; Weiland, Lorenz ; Riemensberger, Maximilian ; Utschick, Wolfgang

  • Author_Institution
    Associate Inst. for Signal Process., Tech. Univ. Munchen, Mϋnchen, Germany
  • fYear
    2014
  • fDate
    19-21 March 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    For the Gaussian MIMO relay channel, we consider rates that can be achieved with the relay using the partial decode-and-forward (PDF) scheme, which is a generalization of the decode-and-forward (DF) scheme. Since for the general case the optimal channel input distribution for the PDF strategy is unknown, the maximum PDF rate for the Gaussian relay channel can only be determined if the best PDF strategy is equivalent to the DF strategy, point-to-point (P2P) transmission from source to destination, or if PDF achieves the cut-set bound (CSB), where Gaussian channel inputs are known to be optimal. In this paper, we identify and discuss two new such special cases, the stochastically degraded and the reversely stochastically degraded Gaussian relay channel.
  • Keywords
    Gaussian channels; MIMO communication; decode and forward communication; relay networks (telecommunication); CSB; Gaussian MIMO channel; P2P transmission; cut-set bound; maximum PDF rate; multiple-input multiple- output channel; optimal channel input distribution; optimal partial decode-and-forward rates; point-to-point transmission; reversely stochastically degraded Gaussian relay channel; Antennas; Covariance matrices; Joints; MIMO; Relays; Resource description framework; Stochastic processes; Gaussian relay channel; MIMO; partial decode-and-forward; stochastically degraded;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems (CISS), 2014 48th Annual Conference on
  • Conference_Location
    Princeton, NJ
  • Type

    conf

  • DOI
    10.1109/CISS.2014.6814147
  • Filename
    6814147