Propagation Prediction of Mobile Networks at Buraidah Region via Different Frequencies and Terrain Profile

Received Signal Strength Indicators (RSSI) is one of the main concerns in any wireless communication system deployment. Most of wireless infrastructure providing best connection for costumers as well as minimizing the wasted energy. This paper concentrated on major issues affect the signal disturbers in the area of study using well known empirical models to predict signal behaviours over different trainset profile in suburban area to obtain the best predicted model based on criteria caused by (RSSI). Stanford University Interim (SUI) and extended COST 231-Hata propagation models with actual measured data on different carrier frequencies has been considered for best prediction. The results show that the SUI propagation model gives the best performance according to the collected data in the area of study compared to the extended COST 231-Hata. The significant investigation in this paper confirmed by presenting the average signal in the path loss prediction.