Computer Science – Information Theory
Scientific paper
2010-05-02
Computer Science
Information Theory
5 pages, to appear in the proceedings of 2010 IEEE International Symposium on Information Theory (ISIT)
Scientific paper
This paper proves the separation between source-network coding and channel coding in networks of noisy, discrete, memoryless channels. We show that the set of achievable distortion matrices in delivering a family of dependent sources across such a network equals the set of achievable distortion matrices for delivering the same sources across a distinct network which is built by replacing each channel by a noiseless, point-to-point bit-pipe of the corresponding capacity. Thus a code that applies source-network coding across links that are made almost lossless through the application of independent channel coding across each link asymptotically achieves the optimal performance across the network as a whole.
Effros Michelle
Jalali Shirin
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