Comparative Study on a 60 GHz Path Loss Channel Modeling in a Mine Environment Using Neural Networks

A precise and accurate channel model is essential in conceiving and designing wireless telecommunication systems. However, modeling the channel in a confined and harsh environment such as an underground mine is more complicated and challenging. In this paper, we present an experimental study on modeling a 60 GHz path loss fading based on experimental measurements made in an underground former gold mine. To address the accuracy of artificial neural networks (ANN) in modeling problems, an approach based on two well-known ANN, Multilayer Perceptron (MLP) and Radial Basis Function (RBF) is considered, and a comparison between them in modeling the path loss attenuation is evaluated.