Strong Coordination of Signals and Actions over Noisy Channels

被引：0

作者：

Cervia, Giulia ^{[1
]}

Luzzi, Laura ^{[1
]}

Le Treust, Mael ^{[1
]}

Bloch, Mathieu R. ^{[2
]}

机构：

[1] Univ Cergy Pontoise, Univ Paris Seine, ENSEA, ETIS,CNRS,UMR 8051, Cergy, France

[2] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA

来源：

2017 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT) | 2017年

基金：

美国国家科学基金会;

关键词：

CAPACITY;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We develop a random binning scheme for strong coordination in 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 non-causal encoding and decoding, we propose a joint source-channel coding scheme and develop inner and outer bounds for the strong coordination region. While the set of achievable target distributions is the same as for empirical coordination, we characterize the rate of common randomness required for strong coordination.

引用

页码：2835 / 2839

页数：5

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