Communication theory – work in progress

The Communication Theory group (Comm.Th.) at L2S – Laboratoire des Signaux et Systèmes is part of the Telecommunications and Networks Division. The focus of the group lies on the theoretical and algorithmic foundations of next-generation communication networks and intelligent distributed systems. Research activities explore robust and efficient transmission techniques for heterogeneous and ultra-dense wireless networks, optimization methods for dynamic spectrum access, and communication strategies adapted to constrained and large-scale distributed systems. The purpose is to develop innovative approaches at the crossroads of wireless communications, signal processing, optimization, and machine learning, with applications to future 5G and 6G infrastructures, semantic communications, intelligent radio environments, distributed AI, and sustainable network architectures. Its activities cover a broad spectrum of topics including radio resource management, multi-access communication schemes, network optimization, communication-efficient learning, reconfigurable intelligent surfaces (RIS), Age of Information metrics, distributed inference, and integrated sensing and communications.

Recent research contributions address several emerging challenges for future wireless ecosystems. These include semantic and goal-oriented communications, federated and distributed learning over wireless networks, AI-native communication systems, predictive resource allocation, and sustainable network operation for beyond-5G and 6G systems. The team also develops theoretical frameworks for intelligent communication environments combining sensing, computation, and connectivity, with particular contributions on chirp-based localization systems, and embedded sensing technologies for environmental and industrial monitoring applications.

By combining expertise in communication theory, optimization, signal processing, and artificial intelligence, the Comm.Th. group contributes to the scientific foundations of future intelligent communication infrastructures while maintaining strong interactions with industrial and international academic partners.

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