Our recent successful collaboration with colleagues from the Aristotle University of Thessaloniki (S. P. Sotiroudis, S. K. Goudos), University of Western Macedonia (P. Sarigiannidis) and The University of New Mexico (C. Christodoulou) discusses flying base stations with UAVs for 4G-5G, path loss for coverage prediction, and an alternative to propagation prediction with deterministic Ray Tracing models, with Machine Learning evolutionary tuned stacked ensemble based predictions.

S. P. Sotiroudis, G. Athanasiadou, G. Tsoulos, P. Sarigiannidis, C. Christodoulou and S. K. Goudos, "Evolutionary Ensemble Learning Pathloss Prediction for 4G and 5G Flying Base Stations with UAVs," in IEEE Transactions on Antennas and Propagation, doi: 10.1109/TAP.2023.3266784.

URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10105215&isnumber=4907023