Empirical Coordination with Two-Sided State Information and Correlated Source and State

被引：0
|
作者：
Le Treust, Mael [1 ]
机构：
[1] Univ Cergy Pontoise, CNRS, ENSEA, ETIS,UMR 8051, 6 Ave Ponceau, F-95014 Cergy Pontoise, France
来源：
2015 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT) | 2015年
关键词：
Shannon Theory; State-dependent Channel; Joint Source-Channel Coding; Empirical Coordination; Empirical Distribution of Symbols; Non-Causal Encoding and Decoding; Causal Encoding; Causal Decoding; RATE-DISTORTION;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The coordination of autonomous agents is a critical issue for decentralized communication networks. Instead of transmitting information, the agents interact in a coordinated manner in order to optimize a general objective function. A target joint probability distribution is achievable if there exists a code such that the sequences of symbols are jointly typical. The empirical coordination is strongly related to the joint source-channel coding with two-sided state information and correlated source and state. This problem is also connected to state communication and is open for non-causal encoder and decoder. We characterize the optimal solutions for perfect channel, for lossless decoding, for independent source and channel, for causal encoding and for causal decoding.
引用
收藏
页码：466 / 470
页数：5
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