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
Link To Document :
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