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Research Article Open access CC BY 4.0

Radio Wave Propagation in a Forested Channel

A. S. Adegoke, U. K. Okpeki, O. Green

Journal of Engineering Research and Reports · pp. 34–40 · Published 6 Jun 2022

10.9734/jerr/2022/v22i917562

Abstract

The appearance of vegetation along radio communication channel can significantly reduce quality of propagating signal. Hence, the need for wireless signal operators to understand the characteristic of channel components for effective radio planning and deployment. This paper has investigated the influence of vegetative channel on wireless signals and examined the dependence of signal loss on path geometry. Measurements were conducted in a sort-depth forest (at SHF frequencies) following two different paths (paths 1 & 2) within the woodland. The experimentation was conducted in autumn and summer so as to determine likely seasonal effect on losses along different path geometries. Results show decay in signal level as the depth of penetration increases which also varies from path to path. These (results) were later compared with standard empirical models MED, FITUR and COST 235 and it shows a statistical adherence with only one of the models, the MED. It is therefore imperative that for effective signal deployment devoid of significant impairment, wireless network operators must take cognisance of the channel characteristics and path geometries in order to guarantee proper planning, modeling and deployment.

Vegetative channel attenuation empirical modelling forest

Cited by 4

Analysis of the Influence of Canopy Layer of Forest Trees on Unmanned Aerial Vehicle Signal Transmission

Jianming Liu, Shunyu Liu, Peng Chen · 2023 International Applied Computational Electromagnetics Society Symposium (ACES-China) · 2023

Path Loss Prediction Model for Propagating Radio Wave in Woodland

A. Adegoke, U. K. Okpeki, O. Green · Journal of Engineering Research and Reports · 2022

Modelling of Propagation Loss for Single Trees Using Simulated Coppice at Microwave Frequencies

Adegoke Adesoye, Okpeki Ufuoma, Green Oluwole · Lecture Notes in Networks and Systems · 2023

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