Elements of information theory
Elements of information theory
Joint source channel coding with side information using hybrid digital analog codes
IEEE Transactions on Information Theory
Systematic lossy source/channel coding
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
On successive refinement for the Wyner-Ziv problem
IEEE Transactions on Information Theory
Channel capacity and state estimation for state-dependent Gaussian channels
IEEE Transactions on Information Theory
Source-channel diversity for parallel channels
IEEE Transactions on Information Theory
Slepian-Wolf coding over broadcast channels
IEEE Transactions on Information Theory
Distortion Bounds for Broadcasting With Bandwidth Expansion
IEEE Transactions on Information Theory
On Multistage Successive Refinement for Wyner–Ziv Source Coding With Degraded Side Informations
IEEE Transactions on Information Theory
Side-Information Scalable Source Coding
IEEE Transactions on Information Theory
The rate transfer argument in two-stage scenarios: when does it matter?
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
Multiple multicasts with the help of a relay
IEEE Transactions on Information Theory
Hi-index | 754.90 |
This paper addresses lossy transmission of a common source over a broadcast channel when there is correlated side information at the receivers, with emphasis on the quadratic Gaussian and binary Hamming cases. A digital scheme that combines ideas from the lossless version of the problem, i.e., Slepian-Wolf coding over broadcast channels, and dirty paper coding, is presented and analyzed. This scheme uses layered coding where the common layer information is intended for both receivers and the refinement information is destined only for one receiver. For the quadratic Gaussian case, a quantity characterizing the combined quality of each receiver is identified in terms of channel and side information parameters. It is shown that it is more advantageous to send the refinement information to the receiver with "better" combined quality. In the case where all receivers have the same overall quality, the presented scheme becomes optimal. Unlike its lossless counterpart, however, the problem eludes a complete characterization.