Research Projects
Hierarchical Organization and Decentralization in Information Communication and Control of Complex Dynamical Systems (HOD-ICCCS)
Current telecommunication and information systems are designed based on Shannon’s operational definitions of coding-capacity and coding-compression for reliable communication. They utilize encoders and decoders, to combat communication noise and to remove redundancy in data. Current dynamical control systems are designed by utilizing feedback controllers, actuators and sensors, to ensure stability, robustness, and optimal performance. One of the key challenges in the upcoming years is the development and design of intelligent hierarchical communication and control systems which simultaneously control and transmit information.
The proposed project focuses on developing universal operational definitions, beyond communication systems, to any dynamical system with inputs and outputs, called: a) Control-Coding Capacity of dynamical systems, i.e., the designer’s ability to develop an controller-encoder pair to simultaneously control the system and encode information, transmit it through the dynamical system to any process attached to it, and reconstruct it using decoders, with arbitrary small error probability, and b) Control-Coding Compression of information processes, i.e., the designer’s ability to develop an controller-encoder pair to simultaneously control the information process and compress information, and decode the compressed information, using decoders with arbitrary small probability of error.
Real-time Communications for the Practical Communication Networks (RETuNe)
Over the last decade, information technologies have become an integral part of the society, while the plethora of emerged applications simplify and enrich our daily activities. Future applications, as they are discussed in the context of 5G, demand very low latency, very high data rates, ultra-high reliability, and the integration of control and communication. The project RETuNE aims at laying the foundations for a real-time communication framework, subject to conditions that mirror the actual behavior of practical channels, that will address the stated demands, and is divided into three pillars.
The first pillar concerns the formulation of a mathematical framework for real time communications for sources with side information and channels with noisy feedback, and evaluates the optimal performance for real-time data compression and data transmission, in order to provide the optimal trade-offs between rate, latency and reliability. The second pillar regards the construction of real-time encoding and decoding schemes, with noisy feedback and without feedback, that achieve the optimal performance evaluated in the first pillar. Finally, the third-pillar considers integrated control-communication schemes, in which we develop intelligent strategies that can simultaneously stabilize the control system, via a noisy feedback, link and transmit information.