DocumentCode :
1762503
Title :
Broadcasting Correlated Vector Gaussians
Author :
Lin Song ; Jun Chen ; Chao Tian
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
Volume :
61
Issue :
5
fYear :
2015
fDate :
42125
Firstpage :
2465
Lastpage :
2477
Abstract :
The problem of sending two correlated vector Gaussian sources over a bandwidth-matched two-user scalar Gaussian broadcast channel is studied in this paper, where each receiver wishes to reconstruct its target source under a covariance distortion constraint. We derive a lower bound on the optimal tradeoff between the transmit power and the achievable reconstruction distortion pair. Our derivation is based on a new bounding technique which involves the introduction of appropriate remote sources. Furthermore, it is shown that this lower bound is achievable by a class of hybrid schemes for the special case, where the weak receiver wishes to reconstruct a scalar source under the mean squared error distortion constraint.
Keywords :
Gaussian channels; broadcast channels; mean square error methods; vectors; achievable reconstruction distortion pair; bandwidth-matched two-user scalar Gaussian broadcast channel; bounding technique; correlated vector Gaussian sources; covariance distortion constraint; hybrid schemes; mean squared error distortion constraint; optimal tradeoff; remote sources; scalar source; transmit power; Covariance matrices; Decoding; Encoding; Receivers; Tin; Vectors; Zinc; Broadcast channel; Gaussian source; Wyner-Ziv coding; Wyner-Ziv coding.; dirty paper coding; joint source-channel coding;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2015.2412540
Filename :
7059240
Link To Document :
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