Abstract
In mobile radio systems, path loss models are necessary for proper planning, interference estimations, frequency assignments, and cell parameters which are basic for network planning process as well as Location Based Services (LBS) techniques that are not based on GPS system. Empirical models are the most adjustable models that can be suited to different types of environments. In this paper, the Lee path loss model has been tuned using Least Square (LS) algorithm to fit measured data for TETRA system operating in 400 MHz in Riyadh urban and suburbs. Consequently, Lee model's parameters (L-0, gamma) are obtained for the targeted areas. The performance of the tuned Lee model is then compared to the three most widely used empirical path loss models: Hata, ITU-R, and Cost 231 Walfisch-Ikegami non line-of-sight (CWI-NLOS) path loss models. The performance criterion selected for the comparison of various empirical path loss models are the Root Mean Square Error (RMSE) and goodness of fit (R-2). The RMSE and R-2 between the actual and the predicted data are calculated for various path loss models. It turned out that the tuned Lee model outperforms the other empirical models.