Enhanced Urban Path Loss Prediction Model with New Correction Factors

Enhanced Urban Path Loss Prediction Model with New Correction Factors

Modification of ITU-R P.1411 model to enhance the prediction accuracy in urban environments having variable heights of buildings is proposed in this paper by introducing two kinds of novel correction factors. One is considering the relationship of the highest building height and the transmitter (Tx) antenna height, and the other is considering the effect of receiver (Rx) position on crossroads....

Dominant Path Prediction Model for Urban Scenarios

Currently, for the planning of wireless cellular networks in urban scenarios either empirical (direct ray or over rooftop ray) or ray-optical (ray tracing) propagation models are used. In this paper both approaches are compared to one another and to measurements in different urban city centers. Additionally a new concept which is called Dominant Path Model (DPM) is presented in this paper. This...

Path Loss Propagation Model Prediction for GSM Network Planning

This paper deals with the outdoor path loss behavior. The study has been conducted in Mosul city Iraq to fit a suitable propagation model to measured data at 900 MHz and 1800 MHz in urban and suburban environment. The empirical models dealt which are Hata, Cost-231 Hata, international Telecommunication Union (ITU-R), Ericsson and Stanford University Interm (SUI). Path loss accuracy of the fitti...

Propagation Path-Loss Prediction Model for 4G Mobile Communication Systems

A Statistical-Sakagami model is proposed by using multiple regression formula for path loss prediction in urban and sub urban area. It is assumed that the three main parameters: hB, W and α are not deterministic variables like those in theory propagation models, but statistical variables, and all the three parameters are varying at the same time in the simulation. The performance of the formula...

Path Loss Prediction by Robust Regression Methods