Rain Attenuation Prediction Models in Microwave and Millimeter Bands for Satellite Communication System: A Review

Busari, Hammed O; Fakolujo, Olaosebikan A

doi:10.46792/fuoyejet.v6i1.576

Cited by 3 publications

(1 citation statement)

References 13 publications

(16 reference statements)

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“…The size of raindrops and the rate of rainfall influence signal attenuation. In the literature, several rain attenuation prediction models exist, including empirical, statistical, fade-slope, physical, and optimization models [34][35][36][37]. Each model estimates rain attenuation based on different environmental characteristics.…”

Section: Rain Attenuationmentioning

confidence: 99%

Path Difference Optimization of 5G Millimeter Wave Communication Networks in Malaysia

Chuan,

Roslee,

Sudhamani

et al. 2023

Applied Sciences

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The development of intelligent transport systems, mobile cellular networks, microwave links, and vehicle communications has accelerated with the use of wireless connections as a communication channel in 5G wireless technology. Weather, including rain, fog, snow, sand, and dust, impacts wireless communication channels in various ways. These effects are more pronounced at the high frequencies of millimeter-wave bands. Recently, the 5G network has made it possible to support a variety of applications with fast speeds and high-quality content. To facilitate the use of high-millimeter-wave frequencies, a recent study investigated how sand and dust affect the 5G communication channel. In this paper, we consider the impact of frequent and heavy rainfall on millimeter-wave propagation and cross-polarization of the wave at various points along the propagation path caused by rainfall in urban and highway scenarios in Malaysia. We estimate rainfall attenuation, path loss, and link margin at various millimeter-wave frequencies. From our simulation results, it is evident that rainfall attenuation, path loss, and link margin depend on the operating frequency, path difference, and rainfall rate. In this paper, we estimate and compare the optimal path difference values under urban and highway scenarios both with and without rainfall attenuation.

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Section: Rain Attenuationmentioning

confidence: 99%

Path Difference Optimization of 5G Millimeter Wave Communication Networks in Malaysia

Chuan,

Roslee,

Sudhamani

et al. 2023

Applied Sciences

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A Deep Learning Based Model for Prediction of RF Wave Attenuation Due to Rain

Kumar

Singh

Saxena

et al. 2023

Wireless Pers Commun

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A Review on Rain Signal Attenuation Modeling, Analysis and Validation Techniques: Advances, Challenges and Future Direction

et al. 2022

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Radio waves are attenuated by atmospheric phenomena such as snow, rain, dust, clouds, and ice, which absorb radio signals. Signal attenuation becomes more severe at extremely high frequencies, usually above 10 GHz. In typical equatorial and tropical locations, rain attenuation is more prevalent. Some established research works have attempted to provide state-of-the-art reviews on modeling and analysis of rain attenuation in the context of extremely high frequencies. However, the existing review works conducted over three decades (1990 to 2022), have not adequately provided comprehensive taxonomies for each method of rain attenuation modeling to expose the trends and possible future research directions. Also, taxonomies of the methods of model validation and regional developmental efforts on rain attenuation modeling have not been explicitly highlighted in the literature. To address these gaps, this paper conducted an extensive literature survey on rain attenuation modeling, methods of analyses, and model validation techniques, leveraging the ITU-R regional categorizations. Specifically, taxonomies in different rain attenuation modeling and analysis areas are extensively discussed. Key findings from the detailed survey have shown that many open research questions, challenges, and applications could open up new research frontiers, leading to novel findings in rain attenuation. Finally, this study is expected to be reference material for the design and analysis of rain attenuation.

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Rain Attenuation Prediction Models in Microwave and Millimeter Bands for Satellite Communication System: A Review

Cited by 3 publications

References 13 publications

Path Difference Optimization of 5G Millimeter Wave Communication Networks in Malaysia

Path Difference Optimization of 5G Millimeter Wave Communication Networks in Malaysia

A Deep Learning Based Model for Prediction of RF Wave Attenuation Due to Rain

A Review on Rain Signal Attenuation Modeling, Analysis and Validation Techniques: Advances, Challenges and Future Direction

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