Real-world 5G testbed flights with Android devices yield position-dependent KPI data fitted by polynomials and modeled via random forests, gradient boosting, and neural networks for air-to-ground cellular links.
Reliable aerial mobile communications with rsrp & rsrq prediction models for the internet of drones: A machine learning approach
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Modeling and Analysis of Air-to-Ground Cellular KPIs in a 5G Testbed using Android Smartphones
Real-world 5G testbed flights with Android devices yield position-dependent KPI data fitted by polynomials and modeled via random forests, gradient boosting, and neural networks for air-to-ground cellular links.