UAV

Welcome to the EUSOME Project Channel! We’re excited to kick things off and share our project with you! EUSOME stands for Enabling Autonomous Aerial Systems through Operational Me…

Industry-funded research with the Hellenic U-Space Institute (HUSI) on drones that sense, communicate and are controlled with the same radio hardware.

The paper develops a novel channel estimation method for UAV-based mmWave massive MIMO systems with beam squint, improving accuracy by accounting for spatial selectivity in time-varying channels.

Researchers develop a distributed model predictive control approach to stabilize coupled motion and hybrid beam alignment in UAV networks.

This research develops a novel joint localization and channel estimation framework for UAV-assisted mmWave communications, enabling accurate positioning and MIMO channel coefficient estimation through beam-space representation and matrix completion.