International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 14, No. 6, 8 Dec. 2022
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Empirical Rain-based Attenuation Quantification and Impact Analysis on 5G New Radio Networks at 3.5GHz Broadband Frequency
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Author(s)
Ibrahim Habibat Ojochogwu
1
Isabona Joseph
2,*
Ituabhor Odesanya
2
Index Terms
Rain depth, Heavy rain, very heavy rain, Extreme heavy rain, Rain Intensity, Specific attenuation level, New Radio Networks.
Abstract
Today, rain remains one key and well-known natural phenomenon that offsets and attenuates the propagated radio, microwave, and millimeter-wave signals at different transmission frequencies and wavelengths over propagation paths. Specialised rain attenuation studies can be utilized to analyze their stochastic behavior on propagated radio signals and also come up with appropriate rain attenuation model for network application planning and optimisations. In this contribution, empirical rainfall depths data has been acquired, effectively categorized, and employed to examine the implicative intensity level trends over a ten years period, starting from 2011 to 2020. More importantly, the Recommendation ITU-R P.1511 power-based model combined with the acquired categorized rainfall depths data has been explored to prognostically estimate and quantity the amount of specific attenuation loss due over 3.5G transmission frequency. The results reveal that the level of attenuation attained versus 0.01% percentage of time depends on the type of rain intensity levels (heavy rain, very heavy rain, extremely heavy rain), which in turn is dependent upon rain depth or rate drop sizes. As a case in point, 0.001 percent of the time due to heavy rain, the amount of specific attenuation attained stood at 2dB, while for very heavy and extremely heavy rain, the specific attenuation levels amount to 2.3dB and 4dB respectively. These different amounts of specific attenuation simplify imply that the heavier the rain, the more scattering, and absorption the propagated electromagnetic signals undergo, thus leading to degraded and higher attenuation levels. The empirical based-rain attenuation quantification and impact analysis method explored in this paper will significantly provide radio network engineers with the best way to monitor and evaluate the radio attenuation effect over a propagation channel.
Cite This Paper
Ibrahim Habibat Ojochogwu, Isabona Joseph, Ituabhor Odesanya, "Empirical Rain-based Attenuation Quantification and Impact Analysis on 5G New Radio Networks at 3.5GHz Broadband Frequency", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.14, No.6, pp. 47-58, 2022. DOI:10.5815/ijigsp.2022.06.04
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