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.
Methodological tools
optimization
game theory
deep learning
stochastic geometry
distributed algorithms
source coding
simulations
control theory
stochastic models
information theory
learning and distributed statistics
network coding
information geometry
graph theory
combinatorial bounds
Application areas
5G and 6G
smart grid
distributed control networks
social networks
sensor networks
autonomous and connected vehicles
immersive visual communications
resources allocation
energy efficiency
interference management and coordination
coding and iterative algorithms
deep learning
cooperation and feedback
caching
privacy and physical security
non-linear channels
Research Teams
ILOCOS
The Information, Learning, Optimization and Communication Sciences (ILOCOS) 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 and machine learning 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 activities of the iPhyCom (Intelligent Physical Communications) group are focused on modeling, performance evaluation, and optimization of communication systems and networks with focus on the physical layer. iPhyCom is a multidisciplinary research group constituted by people with background in wireless communications, optical communications, quantum communications, machine learning, electromagnetics, metamaterials, digital communications, iterative decoding, semantics of information, interference management, cross-layer design.
