• DocumentCode
    715433
  • Title

    Compute-and-forward using nested linear codes for the Gaussian MAC

  • Author

    Jingge Zhu ; Gastpar, Michael

  • Author_Institution
    Sch. of Comput. & Commun. Sci., Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
  • fYear
    2015
  • fDate
    April 26 2015-May 1 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The classical modulo-lattice construction of Erez et al. has been successfully applied to several coding problems under Gaussian noise, including coding for computation over multiple-access channels (MAC). For the latter problem, an alternative construction can be developed by extending a recently proposed nested linear code to Gaussian case. In this note, it is shown that using the nested linear code with judiciously chosen input distributions, the original compute-and-forward result is recovered and larger computation rates are achievable. In particular we show that the Gaussian input distribution is not optimal in general for the computation problem over Gaussian MAC. Among other results, new achievable rates for the Gaussian two-way relay channel (TWRC) are given.
  • Keywords
    AWGN channels; Gaussian distribution; channel coding; linear codes; multi-access systems; relay networks (telecommunication); wireless channels; Gaussian MAC; Gaussian distribution; Gaussian multiple access channel; Gaussian noise; Gaussian two-way relay channel; TWRC; compute-and-forward; modulo-lattice construction; nested linear code; Convolution; Decoding; Gaussian distribution; Linear codes; Probability distribution; Random variables; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop (ITW), 2015 IEEE
  • Conference_Location
    Jerusalem
  • Print_ISBN
    978-1-4799-5524-4
  • Type

    conf

  • DOI
    10.1109/ITW.2015.7133094
  • Filename
    7133094