Path Loss Prediction by Robust Regression Methods

Estimating the position of mobile terminals is an important problem for cellular networks. One of the methods of locating the mobile terminal is to use measurements of the radio path loss. This paper presents the results of robust regression methods for the prediction of path loss in a specific urban environment. Since the data set using in the application has outlier robust regression methods are used prediction of the path loss model. The performance of the path loss model which is obtained from robust regression methods are compared to Bertoni-Walfisch model, which is one of the best studied for propagation analysis involving buildings. This comparison based on the mean square error between predicted and measured values. In this study, propagation measurements were carried out at 900 MHz band in the city of Istanbul, Turkey.