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A new path loss model based on the volumetric occupancy rate for the pine forests at 5G frequency band

Published online by Cambridge University Press:  20 November 2020

Abdullah Genc Open the ORCID record for Abdullah Genc [Opens in a new window]
Abdullah Genc*
Affiliation:
Department of Mechatronics Engineering, Isparta University of Applied Sciences, Isparta 32260, Turkey
*
Author for correspondence: Abdullah Genc, E-mail: abdullahgenc@isparta.edu.tr
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Abstract

In this paper, a new empirical path loss model based on frequency, distance, and volumetric occupancy rate is generated at the 3.5 and 4.2 GHz in the scope of 5G frequency bands. This study aims to determine the effect of the volumetric occupancy rate on path loss depending on the foliage density of the trees in the pine forest area. Using 4.2 GHz and the effect of the volumetric occupancy rate contributes to the literature in terms of novelty. Both the reference measurements to generate a model and verification measurements to verify the proposed models are conducted in three different regions of the forest area with double ridged horn antennas. These regions of the artificial forest area consist of regularly sorted and identical pine trees. Root mean square error (RMSE) and R-squared values are calculated to evaluate the performance of the proposed model. For 3.5 and 4.2 GHz, while the RMSEs are 3.983 and 3.883, the values of R-squared are 0.967 and 0.963, respectively. Additionally, the results are compared with four path loss models which are commonly used in the forest area. The proposed one has the best performance among the other models with values 3.98 and 3.88 dB for 3.5 and 4.2 GHz.

Keywords

Path loss modelvolumetric occupancy rate5G frequency bandpenetration loss
Type
EM Field Theory
Information
International Journal of Microwave and Wireless Technologies , Volume 13 , Issue 2 , March 2021 , pp. 144 - 153
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Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press in association with the European Microwave Association

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