Neural Networks and Random Forests: A Comparison Regarding Prediction of Propagation Path Loss for NB-IoT Networks

Abstract

The prediction of propagation path loss is of great importance for all aspects of mobile communication. Machine learning methods, such as Artificial Neural Networks and Random Forests, can play a key role for its estimation. A comparison between the two methods for the frequencies of 900 MHz and 1800 MHz is being carried out in the work at hand. Both methods led to similar results.