Strong Coordination over Noisy Channels with Strictly Causal Encoding

Giulia Cervia (1) , Laura Luzzi (1) , Mael Le Treust (1) , Matthieu Bloch (2)

1 ETIS - UMR 8051 - Equipes Traitement de l'Information et Systèmes
2 Georgia Tech Lorraine [Metz]

We consider a network of two nodes separated by a noisy channel, in which the input and output signals have to be coordinated with the source and its reconstruction. In the case of strictly causal encoding and non-causal decoding, we prove inner and outer bounds for the strong coordination region and show that the inner bound is achievable with polar codes.

Mots clés: Decoding; Encoding; Noise measurement; Memoryless systems; Markov processes; Communication networks

Domaines: Sciences de l'ingénieur [physics]

Giulia Cervia, Laura Luzzi, Mael Le Treust, Matthieu Bloch. Strong Coordination over Noisy Channels with Strictly Causal Encoding. 2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Oct 2018, Monticello, United States. IEEE, pp.519-526, 2018, ⟨10.1109/ALLERTON.2018.8635991⟩. ⟨hal-02881110⟩