The purpose of this Winter School is twofold. The primary objective is to provide students with a comprehensive understanding of the enabling technologies and core research challenges shaping the evolution of 6G networks, with a special emphasis on the convergence of Artificial Intelligence and its application to cloud and edge computing. Tutorials and Presentations will provide insights into key technologies and tools for network programming, distributed systems, orchestration, and virtualization, as well as other fundamental topics in machine learning and deep learning applied to networks. Sessions will go into both theoretical and practical aspects of network sensing, edge intelligence, AI-driven networking, and the design of disaggregated, programmable networks, identifying critical emerging research topics within the broader 6G framework.
The second objective is to familiarize students with the advanced tools and methodologies supported by the UNICO I+D projects 6G-CLARION, 6G-RIEMANN, and SORUS, which pioneer research in these cutting-edge areas. The Winter School will feature dedicated sessions on these topics, enabling students to gain valuable experience with state-of-the-art research tools.
ORGANIZING COMMITTEE
General Co-Chairs
– Marco Gramaglia, Universidad Carlos III de Madrid
– Pablo Serrano, Universidad Carlos III de Madrid
Vice General Co-Chairs
– Carlos M. Ramírez, Universidad Las Palmas
– Miguel A. Quintana, Universidad Las Palmas
Technical Program Co-Chairs
– Matilde P. Sánchez, Universidad Carlos III de Madrid
– Ramón Agüero, Universidad de Cantabria
Operations Chair
– Ramón Sánchez, Universidad de Murcia