Optimization of CCIR Pathloss Model Using Terrain Roughness Parameter
Nnadi, Nathaniel Chimaobi
Nnadi, Ifeanyi Chima
Nnadi, Charles Chukwuemeka
- Publisher: Mathematical and Software Engineering
Mathematical and Software Engineering
Pathloss Model; Least Square Error method; Terrain Roughness; Propagation Model Optimization; Elevation Profile; Pathloss Model Optimization
In this paper, optimizing CCIR pathloss model using terrain roughness parameter is presented. The study is based on field measurement of received signal strength and elevation profile data obtained in a suburban area of Uyo for 800 MHz GSM network. Particularly, in this paper, the mean elevation and the standard deviation of elevation are used separately to minimize the error using least square method. The results show that the untuned CCIR model has a RMSE of 28.8 dB and prediction accuracy of 77.4 %. On the other hand, both the pathloss predicted by the mean elevation tuned CCIR model and the pathloss predicted by the standard deviation of elevation tuned CCIR model have the same RME of 3.9 dB and prediction accuracy of 97.6 %. The terrain roughness correction factors are the same value (that is, C_M ̅ = C_Š= 28.50882771). The RMSE of 3.9dB shows that the terrain roughness parameter-based tuning approach can effectively be used to minimize the prediction error of the CCIR model within the acceptable value which is about 7dB to 10 dB for suburban and rural areas.