Ecole d'ingénieur et centre de recherche en Sciences du numérique

Transmission of correlated Gaussian samples in a multiple-access channel

Unsal, Ayse; Knopp, Raymond

CISS 2014, 48th Annual Conference on Information Sciences and Systems, March 19-21, 2014, Princeton, USA

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.

Document Doi Bibtex

Titre:Transmission of correlated Gaussian samples in a multiple-access channel
Mots Clés:Distributed communication, joint source channel coding, detection/estimation, multiple-access channel (MAC)
Département:Systèmes de Communication
Eurecom ref:4225
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Bibtex: @inproceedings{EURECOM+4225, doi = {}, year = {2014}, title = {{T}ransmission of correlated {G}aussian samples in a multiple-access channel}, author = {{U}nsal, {A}yse and {K}nopp, {R}aymond}, booktitle = {{CISS} 2014, 48th {A}nnual {C}onference on {I}nformation {S}ciences and {S}ystems, {M}arch 19-21, 2014, {P}rinceton, {USA}}, address = {{P}rinceton, {\'{E}}{TATS}-{UNIS}}, month = {03}, url = {} }
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