Bivariate Empirical Modeling of Global System for Mobile-Communication (GSM) Propagation Path Loss in an Undulating Terrain
Keywords:
Empirical modeling, propagation path loss, regression modelAbstract
Empirical modeling more accurately represents systems input/output relationship than the more difficult deterministic method. In this work, GSM propagation path loss variation with terrain was modeled using second order regression. Netmonitor on Nokia 3310 measured the path loss at locations separated by 200m up to 4010m. The power signal was obtained from a base transceiver system (BTS) codenamed LBR19 belonging to Globacom Telecommunications Limited. LBR19 is in Ofuegbe, Edo State, Nigeria. Entrex global positioning system (GPS) measured the earth coordinates at these locations. Height above sea level and distance from BTS were used as input variables to the second order regression model obtained from MATLAB statistic toolbox. The obtained model produced a root mean square error of 6.34, P-value of 0.000163 and R-square value of 0.78 which indicates the signiï¬cance of all the terms in the equation and the predictive performance of the obtained model. This approach makes it more flexible to model signal propagation speciï¬c to a particular location accurately and quickly for ease of decision making.
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