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