Performance Analysis of Path loss Prediction Models in Wireless Mobile Networks in Different Propagation Environments

Abstract

for the cell design, path-loss is very important issue and has been studied for a long time. For the new generation of mobile networks, new prediction models with extended frequencies are needed. The goal of this paper is to analyze different path loss prediction models: free space, extended COST-231 Hata, empirical Hata, Walfisch-Ikegami, Stanford University Interim (SUI) and Ericson (9999). It is shown that SUI, Ericsson and Empirical Hata are overall the best choice for the new generation of mobile networks regardless of distance and type of environment. However, SUI outperforms Ericsson and Empirical Hata for 3.5 GHz for both urban and suburban environments. For higher frequencies (28 GHz), which is needed for the new generation of mobile networks like 5G, it is shown that Ericsson model gives better results for path loss in urban compared with SUI which gives better results in suburban environment. The above conclusion is also confirmed by introducing the average path loss. Keywords: