DocumentCode :
30091
Title :
On the Minimum Energy of Sending Correlated Sources Over the Gaussian MAC
Author :
Nan Jiang ; Yang Yang ; Host-Madsen, Anders ; Zixiang Xiong
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
Volume :
60
Issue :
10
fYear :
2014
fDate :
Oct. 2014
Firstpage :
6254
Lastpage :
6275
Abstract :
In this paper, we investigate the minimum energy of transmitting correlated sources over the Gaussian multiple-access channel. Compared to other works on joint source-channel coding, we consider the fundamental problem of the minimum transmission energy, where the source and channel bandwidths are not naturally matched. Different models of correlated sources are studied. We first treat lossy transmission of Gaussian sources, including multiterminal sources and CEO sources. We then consider lossless transmission of correlated binary sources. In all cases, we lower bound the minimum energy using a cut-set argument that couples transmission energy and the distortions for the Gaussian cases (or source entropy for the discrete case). For the achievable schemes, separate source and channel coding and uncoded transmission are studied as benchmarks. In addition, we show that hybrid digital/analog transmission achieves the best known energy efficiency.
Keywords :
Gaussian channels; channel allocation; combined source-channel coding; correlation methods; entropy; multi-access systems; CEO sources; Gaussian multiple-access channel; Gaussian sources; channel bandwidths; correlated binary sources; cut-set argument; hybrid digital-analog transmission; joint source-channel coding; lossy transmission; minimum transmission energy; multiterminal sources; source bandwidths; source entropy; transmitting correlated sources; uncoded transmission; Bandwidth; Channel coding; Correlation; Decoding; Propagation losses; Upper bound; Correlated sources; hybrid digital/analog transmission; separate source and channel coding; the MAC; the minimum energy; uncoded transmission;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2014.2348573
Filename :
6879261
Link To Document :
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