Finally, with the RMSE of about 6 dB, it can be concluded that the terrain roughness parameter-based tuning approach can effectively be used to minimize the prediction error of the Hata model within the acceptable value which is about 7dB to 10 dB for urban and rural areas. Also, the terrain roughness correction factors are the same value (that is, C TSDV=C TMean=44.13848). On the other hand, both the pathloss predicted by the mean elevation tuned Hata model and the pathloss predicted by the standard deviation of elevation tuned Hata model have the same RME of 6.23 dB and prediction accuracy of 96.06%. The results show that the untuned Hata model has a RMSE of 44.58 dB and prediction accuracy of 65.07%. He is an experienced Path Loss user in addition to having more than two decades of diverse Telecom. However, in this paper, the mean elevation and the standard deviation of elevation are used separately to minimize the error using least square method. Abdul Aziz Khan is a Advance level planner, an Auditor, Freelance Blogger and a PMP Certified veteran Telecom Professional having worked for renowned operators and vendors in UAE, Saudi Arab and Pakistan.

RF propagation describes the behavior of electromagnetic radiation from a point of transmission as it travels. PATHLOSS (Microwave Network design software) Make Network Configuration Make Path Profile to find antenna height in each station Calculate Link Budget to find. Mostly, standard deviation of elevation is used to characterize terrain roughness. Free Space Path Loss (FSPL) Calculator 5. The study is based on field measurement of received signal strength and elevation profile obtained in a suburban area for a GSM network in the 800 MHz frequency band. In this paper, an approach for optimizing Hata pathloss model based on terrain roughness parameter is presented.

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