In this paper, an artificial neural network (ANN) based parametric modeling for path loss model in urban environments at 1 to 3 GHz frequency bandwidth. ANN is used to learn the path loss structure from the measured path loss data which is a function of distance and frequency. The multi-layer perceptron neural network model is considered to design the path loss model in the urban area. In addition, the effect of the network architecture parameter (activation function, the number of hidden layers and nodes) on the estimation accuracy of the modeling are analyzed through several simulations. The simulation results show that the ANN model outperformed compared with the conventional path loss models in the urban area.

Keywords: artificial neural network, parametric modeling, path loss model