On the Separation of Lossy Source-Network Coding and Channel Coding in Wireline Networks
Shirin Jalali, Michelle Effros

TL;DR
This paper demonstrates that in noisy wireline networks, source-network coding can be separated from channel coding without loss of optimality, simplifying network design by replacing noisy channels with noiseless bit-pipes.
Contribution
It proves the theoretical separation between source-network coding and channel coding in noisy networks, showing equivalence in achievable distortion matrices.
Findings
Achievable distortion matrices are identical in noisy and noiseless equivalent networks.
Source-network coding combined with independent channel coding is asymptotically optimal.
Separation simplifies network coding design without performance loss.
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.
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