• DocumentCode
    138615
  • Title

    Transmission of correlated Gaussian samples over a multiple-access channel

  • Author

    Unsal, Abdurrahman ; Knopp, Raymond

  • Author_Institution
    Mobile Commun. Dept., Eurecom, Sophia Antipolis, France
  • fYear
    2014
  • fDate
    19-21 March 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper provides lower bounds on the reconstruction error for transmission of two continuous correlated random vectors sent over a sum channel using the help of two causal feedback links from the decoder to the encoders connected to each sensor. This construction is considered for standard normally distributed sources. Additionally, a two-way retransmission protocol, which is a non-coherent dual-source adaptation of the original work by Yamamoto [1] is introduced for an additive white Gaussian noise channel. Asymptotic optimality of the protocol is analyzed and upper bounds on the distortion level are derived for two-rounds considering two extreme cases of high and low correlation among the two sources. It is shown by both the upper and lower-bounds that collaboration can be achieved through energy accumulation.
  • Keywords
    AWGN channels; channel coding; correlation methods; multi-access systems; multiuser channels; protocols; additive white Gaussian noise channel; asymptotic optimality; causal feedback links; correlated Gaussian samples; correlated random vectors; energy accumulation; multiple access channel; noncoherent dual source adaptation; reconstruction error; standard normally distributed sources; sum channel; two way retransmission protocol; Correlation; Error probability; Mutual information; Protocols; Quantization (signal); Receivers; Vectors; Distributed communication; detection/estimation; joint source channel coding; multiple-access channel (MAC);
  • 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.2014.6814111
  • Filename
    6814111