Special Issue "Information Theory for Control, Games, and Decision Problems"

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".

Deadline for manuscript submissions: closed (31 October 2019).

Special Issue Editors

Prof. Dr. Tobias Oechtering
E-Mail Website
Guest Editor
KTH Royal Institute of Technology, School of Electrical Engineering, Communication Theory Department, Osquldas väg 10, 10044 Stockholm, Sweden
Interests: information theory; physical layer security and privacy; statistical signal processing; communications; networked control
Special Issues and Collections in MDPI journals
Dr. Maël Le Treust
Guest Editor
ETIS UMR 8051, Université Paris Seine, Université Cergy-Pontoise, ENSEA, CNRS 6 av. du Ponceau, 95014 CERGY, France
Interests: empirical coordination; shannon theory; game theory; wireless communications; repeated game with imperfect monitoring; source and channel coding; physical layer security
Prof. Dr. Serdar Yuksel
E-Mail Website
Guest Editor
Department of Mathematics and Statistics, Queen's University, Kingston, ON K7L 3N6, Canada
Interests: stochastic control; information theory; networked and decentralized control, stochastic dynamical systems

Special Issue Information

Dear Colleagues,

Originally Shannon's information theory was developed deriving fundamental bounds on the rate of communication regardless the application, thus semantic aspects of the communication were not taken into account. This has led to specific operational definitions that are in particular not suitable for time-sensitive applications and setups. 

Since optimality is not guaranteed for separating processing for communication and the application, typically upper and lower bounds on performance have been derived for specific applications. In particular fundamental results have been obtained in the last years for problems in distributed control and decision theory. This special issue should take up this development and provide the space to for original works dealing with cross-disciplinary problems where information theory is used for (distributed) control problems or decision problems, which may also include problems from operations research. Accordingly, topics of interest include, but are not restricted to, the following

- Interplay between information, control, and/or decision theories

- Information-theoretic methods in game theory

- Signaling games and related problems in networked systems

- Coordination problems under information constraints

- Coding theory for control and decision problems

- Optimal co-design of communication and control for networked control

- Sufficient and necessary conditions on communication requirements for stability

- Entropy in control, dynamical systems and information theory

- Information theoretic security and privacy for control and decision systems

- Quantisation and code design for control/decision problems

- Metric and topological entropy concepts and their applications in control and game theory

Prof. Dr. Tobias Oechtering
Dr. Maël Le Treust
Prof. Dr. Serdar Yuksel
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Open AccessArticle
Zero-Delay Multiple Descriptions of Stationary Scalar Gauss-Markov Sources
Entropy 2019, 21(12), 1185; https://doi.org/10.3390/e21121185 - 01 Dec 2019
In this paper, we introduce the zero-delay multiple-description problem, where an encoder constructs two descriptions and the decoders receive a subset of these descriptions. The encoder and decoders are causal and operate under the restriction of zero delay, which implies that at each [...] Read more.
In this paper, we introduce the zero-delay multiple-description problem, where an encoder constructs two descriptions and the decoders receive a subset of these descriptions. The encoder and decoders are causal and operate under the restriction of zero delay, which implies that at each time instance, the encoder must generate codewords that can be decoded by the decoders using only the current and past codewords. For the case of discrete-time stationary scalar Gauss—Markov sources and quadratic distortion constraints, we present information-theoretic lower bounds on the average sum-rate in terms of the directed and mutual information rate between the source and the decoder reproductions. Furthermore, we show that the optimum test channel is in this case Gaussian, and it can be realized by a feedback coding scheme that utilizes prediction and correlated Gaussian noises. Operational achievable results are considered in the high-rate scenario using a simple differential pulse code modulation scheme with staggered quantizers. Using this scheme, we achieve operational rates within 0.415 bits / sample / description of the theoretical lower bounds for varying description rates. Full article
(This article belongs to the Special Issue Information Theory for Control, Games, and Decision Problems)
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