This paper presents a machine learning–driven localization framework that leverages Angle of Arrival (AoA) as a robust feature extracted from massive MIMO OFDM channel state information (CSI). The goal is to enable accurate user or device localization in complex outdoor… Read More »High-accuracy AoA-based Localization using Hierarchical ML Classifiers in Outdoor Environments
This paper examines how future 6G networks—expected to function as large-scale cyber-physical systems—will require more advanced trust and reputation management mechanisms than those used today. As autonomous vehicles, drones, robots, and other intelligent agents collaborate in real time, the accuracy… Read More »A Framework for Global Trust and Reputation Management in 6G Networks
As the world transitions towards the sixth generation (6G) of wireless networks, ensuring robust security and trustworthiness solutions becomes a critical necessity. In this vein, the ROBUST-6G project aims to address key challenges related to security and trustworthiness through a… Read More »Exploring the Future of Secure 6G Networks: Insights from ROBUST-6G Deliverable 2.2