4 papers
On-board AI-based Channel Estimation for LEO NTNs
Mahdi Abdollahpour, Bruno De Filippo, Carla Amatetti +1
Artificial Intelligence(AI) methods have shown strong channel estimation performance in terrestrial networks, but they typically rely on substantial computational resources. As 6G…
DRIFT: Joint Channel Estimation and Prediction Towards Pilotless 6G Non-Terrestrial Networks
Bruno De Filippo, Carla Amatetti, Alessandro Vanelli-Coralli
Non-terrestrial networks (NTNs) are expected to play a pivotal role in sixth-generation (6G) systems by enabling ubiquitous connectivity and massive communication. In this context,…
Toward Multi-Satellite Cooperative Transmission: A Joint Framework for CSI Acquisition, Feedback, and Phase Synchronization
Yiming Zhu, Yafei Wang, Carla Amatetti +5
The stringent link budget, caused by long propagation distances and payload constraints, poses a fundamental bottleneck for single-satellite transmission. Although LEO mega-constel…
Attention-Based SINR Estimation in User-Centric Non-Terrestrial Networks
Bruno De Filippo, Alessandro Guidotti, Alessandro Vanelli-Coralli
The signal-to-interference-plus-noise ratio (SINR) is central to performance optimization in user-centric beamforming for satellite-based non-terrestrial networks (NTNs). Its asses…