  One of the salient factors to look at during wireless network planning is
developing a modified path loss prediction models to suit a new environment
other than the one it was originally designed for. This helps to give accurate
predictive outcomes. This paper seeks to demonstrate the effects of applying
correction factors on radio propagation model used in planning for 4G-WiMAX
network through a comparative analysis between estimated and field data
collected on received power for a 4G-WiMAX site. Four existing models were
considered for this research; COST 231 Hata, Extended COST 231 Hata, SUI
(Stanford University Interim) and Ericsson models. In order to optimize and
validate the effectiveness of the proposed models, the mean square error (MSE)
and correlation co-efficient were calculated for each model between the
predicted and the measured received power for the selected area before and
after applying an appropriate correction factor. Based on this, the Extended
COST-231 Hata prediction model proved to correlate well with the measured
values since it showed least Mean Square Error (MSE) but with highest
correlation co-efficient. Through comparative analysis of the corrected models,
the Extended COST-231 Hata model could be applied for effective planning of the
radio systems in Ghana and the subregion at large.
