Modelling Received Signal Power in Modern Mobile Communications with UAVs Using Ensemble Learning

In this paper, we apply ensemble learning methods for the prediction of received signal strength (RSS) in mobile communications The training set is obtained by experimental data measurements taken from a unmanned aerial vehicle (UAV). We model the RSS using two different ensemble methods. One of these achieves better performance than a neural network in previous work. In this context, the produced results are compared to measurements using representative performance indices and exhibit satisfactory accuracy.