On the Separation of Lossy Source-Network Coding and Channel Coding in Wireline Networks

Abstract

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.

5 pages, to appear in the proceedings of 2010 IEEE International Symposium on Information Theory (ISIT)

References in corpus (1)

• Coordination Capacity

Cited by in corpus (6)

• Hybrid Coding: An Interface for Joint Source-Channel Coding and Network Communication
• Reduced-Dimension Linear Transform Coding of Correlated Signals in Networks
• Constrained Source Coding with Side Information
• On Capacity Region of Wiretap Networks
• Separation of source-network coding and channel coding in wireline networks
• Optimality and Approximate Optimality of Source-Channel Separation in Networks