Joint Empirical Coordination of Source and Channel

In a decentralized and self-configuring network, the communication devices are considered as autonomous decision makers that sense their environment and that implement optimal transmission schemes. It is essential that these autonomous devices cooperate and coordinate their actions, to ensure the re...

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Bibliographic Details
Published in:IEEE transactions on information theory Vol. 63; no. 8; pp. 5087 - 5114
Main Author: Le Treust, Mael
Format: Journal Article
Language:English
Published: New York IEEE 01.08.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Subjects:
Channel coding
Decoding
Electronic devices
Empirical coordination
Game theory
Humanities and Social Sciences
joint source and channel coding
Library and information sciences
Network reliability
Noise measurement
Optimization
Probability distribution
Reliability
Symbols
Utility functions
empirical coordination
joint source and channel coding
game theory
ISSN:0018-9448, 1557-9654
Online Access:Get full text
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Summary:In a decentralized and self-configuring network, the communication devices are considered as autonomous decision makers that sense their environment and that implement optimal transmission schemes. It is essential that these autonomous devices cooperate and coordinate their actions, to ensure the reliability of the transmissions and the stability of the network. We study a point-to-point scenario in which the encoder and the decoder implement decentralized policies that are coordinated. The coordination is measured in terms of empirical frequency of symbols of source and channel. The encoder and the decoder perform a coding scheme, such that the empirical distribution of the symbols is close to a target joint probability distribution. We characterize the set of achievable target probability distributions for a point-to-point source-channel model, in which the encoder is non-causal and the decoder is strictly causal, i.e., it returns an action based on the observation of the past channel outputs. The objectives of the encoder and of the decoder are captured by some utility function, evaluated with respect to the set of achievable target probability distributions. In this paper, we investigate the maximization problem of a utility function that is common to both encoder and decoder. We show that the compression and the transmission of information are particular cases of the empirical coordination.
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ISSN:0018-9448
1557-9654
DOI:10.1109/TIT.2017.2714682