5 papers
A Perception vs. Distortion Perspective on Score-Based Generative Channel Estimation
Marco Skocaj, Lukas Eller, Mate Boban
Driven by their remarkable success in computer vision and inverse problem solving, score-based models are increasingly applied to wireless communications, where they show promise a…
Goal-Oriented Learning at the Edge: Graph Neural Networks Over-the-Air for Blockage Prediction
Lorenzo Mario Amorosa, Zhan Gao, Tony Chahoud +4
Sixth-generation (6G) wireless networks evolve from connecting devices to connecting intelligence. The focus turns to Goal-Oriented Communications, where the effectiveness of commu…
The Vienna 4G/5G Drive-Test Dataset
Wilfried Wiedner, Lukas Eller, Mariam Mussbah +4
Machine learning for mobile network analysis, planning, and optimization is often limited by the lack of large, comprehensive real-world datasets. This paper introduces the Vienna…
Deep Learning-based mmWave MIMO Channel Estimation using sub-6 GHz Channel Information: CNN and UNet Approaches
Faruk Pasic, Lukas Eller, Stefan Schwarz +2
Future wireless multiple-input multiple-output (MIMO) systems will integrate both sub-6 GHz and millimeter wave (mmWave) frequency bands to meet the growing demands for high data r…
Advanced Autonomy on a Low-Cost Educational Drone Platform
Luke Eller, Theo Guerin, Baichuan Huang +4
PiDrone is a quadrotor platform created to accompany an introductory robotics course. Students build an autonomous flying robot from scratch and learn to program it through assignm…