Technical Program

Paper Detail

Paper IDT.2.3
Paper Title Distributed State Estimation with Bounded Errors over Multiple Access Channels
Authors Ghassen Zafzouf, Girish N. Nair, University of Melbourne, Australia
Session T.2: Information and Control
Presentation Lecture
Track Topics in Information Theory
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Virtual Presentation  Click here to watch in the Virtual Symposium
Abstract Although state estimation in networked control systems is a fundamental problem, few efforts have been made to study distributed state estimation via multiple access channels (MAC's). In this article, we give a characterization of the zero-error capacity region of an M-input, single-output MAC at any finite block-length. To this end, nonstochastic information-theoretic tools are used to derive the converse and achievability proofs. Next, a tight condition to be able to achieve uniformly bounded state estimation errors over such a MAC is provided. The obtained condition establishes a connection between the intrinsic topological entropies of the linear systems and the zero-error capacity region of the MAC.

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2021 IEEE International Symposium on Information Theory

11-16 July 2021 | Melbourne, Victoria, Australia

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