Polar Coding for Empirical Coordination of Signals and Actions over Noisy Channels

Giulia Cervia; Laura Luzzi; Matthieu Bloch; Maël Le Treust

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arXiv · 1609.06432

Polar Coding for Empirical Coordination of Signals and Actions over Noisy Channels

Giulia Cervia·Laura Luzzi·Matthieu Bloch·Maël Le Treust

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Abstract

-We develop a polar coding scheme for empirical coordination in a two-node network with a noisy link in which the input and output signals have to be coordinated with the source and the reconstruction. In the case of non-causal encoding and decoding, we show that polar codes achieve the best known inner bound for the empirical coordination region, provided that a vanishing rate of common randomness is available. This scheme provides a constructive alternative to random binning and coding proofs.

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Giulia Cervia, Laura Luzzi, Matthieu Bloch, Maël Le Treust. 2016-09-21. Polar Coding for Empirical Coordination of Signals and Actions over Noisy Channels. https://arxiv.org/abs/1609.06432

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