Title :
Approximate Characterizations for the Gaussian Source Broadcast Distortion Region
Author :
Tian, Chao ; Diggavi, Suhas ; Shamai, Shlomo
Author_Institution :
AT&T Labs.-Res., Florham Park, NJ, USA
Abstract :
We consider the joint source-channel coding problem of sending a Gaussian source on a K-user Gaussian broadcast channel with bandwidth mismatch. A new outer bound to the achievable distortion region is derived using the technique of introducing more than one additional auxiliary random variable, which was previously used to derive sum-rate lower bound for the symmetric Gaussian multiple description problem. By combining this outer bound with the achievability result based on source-channel separation, we provide approximate characterizations of the achievable distortion region within constant multiplicative factors. Furthermore, we show that the results can be extended to general broadcast channels, and the performance of the source-channel separation based approach is also within the same constant multiplicative factors of the optimum.
Keywords :
Gaussian channels; bandwidth allocation; broadcast channels; combined source-channel coding; distortion; random processes; source separation; Gaussian source broadcast distortion region; K-user Gaussian broadcast channel; approximate characterizations; auxiliary random variable; bandwidth mismatch; broadcast channels; constant multiplicative factors; joint source-channel coding problem; source-channel separation; sum-rate lower bound; symmetric Gaussian multiple description problem; Approximation methods; Bandwidth; Channel coding; Joints; Nonlinear distortion; Random variables; Gaussian source; joint source-channel coding; squared error distortion;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2010.2090232