The Telecommunications and Networks activity carries out fundamental research in the field of Networks and Telecommunications. In terms of applications, the main areas of interest include wireless networks, vehicular networks, but also emerging subjects such as synergy between communication networks and smart grids.
The Telecommunications and Networks activity brings together skills at the “lower layers” (digital communications, resources allocation, etc.), the “application layer” (robust compression, content security, etc.), as well as network layers (TCP / IP, routing, etc.), which work in synergy to solve current telecommunications and multimedia problems, in particular in mobile networks. An effort is made to investigate generic mathematical tools allowing as much as possible a global optimization, such as game theory, information theory, stochastic geometry, or information geometry. In general, we aim, from fundamental research work, at further developing the results in order to bring them closer to an industrial use, in particular through collaborative contracts.
learning and distributed statistics
5G and 6G
distributed control networks
autonomous and connected vehicles
immersive visual communications
interference management and coordination
coding and iterative algorithms
cooperation and feedback
privacy and physical security
The Optimization and Mathematical Tools for Networks (OOMR) team performs fundamental and applied research on the design of future wireless telecommunication systems. The team members apply mathematical tools such as stochastic optimization, queuing theory, information theory, machine learning and stochastic geometry to the modeling, cross-layer design, optimization and control of these systems. While the focus of the team is on 5G and 6G, other types of systems such as smart grids and social networks are also addressed.
The themes of the Multimedia and Networking (MULTINET) team cover a wide spectrum of activities, from network aspects to the application layer. Among the major current challenges of IoT, 5G, smart cities, energy efficiency, immersive video, real-time video transport, security or vehicle networks, our work focuses on two axes: network issues and improving video services.
The research of the Information Theory and Applications (TIA) team is primarily concerned in developing new information theory and statistical models applied in various scientific and technological domains: – Telecommunications over radio, fiber and free-space optical multiuser multihop channels – Applications for artificial intelligence, exploring bridges between machine learning and information theory -Information models inspired from physics, new information and logical approaches with applications in information and coding theory as well as quantum computing.