Joint source-channel coding at the application layer for parallel Gaussian sources

Authors:
Ozgun Y. Bursalioglu;Giuseppe Caire;Maria Fresia;H. Vincent Poor
Affiliations:
Ming Hsieh Department of Electrical Engineering, University of Southern California;Ming Hsieh Department of Electrical Engineering, University of Southern California;Department of Electronic Electrical Engineering, Princeton University;Department of Electronic Electrical Engineering, Princeton University
Venue:
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
Year:
2009

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Abstract

In this paper the multicasting of independent parallel Gaussian sources over a binary erasure broadcast channel is considered. Multiresolution embedded quantization and layered joint source-channel coding schemes are used in order to serve simultaneously several users at different channel capacities, The convex nature of the rate-distortion function, computed by means of reverse water-filling, allows us to solve relevant convex optimization problems corresponding to different performance criteria. Then, layered joint source-channel codes are constructed based on the concatenation of embedded scalar quantizers with binary rateless encoders.