Empirical modelling of dust storm path attenuation for 5G mmWave

The rapid evolution of communication technologies, particularly the emergence of 5G mm-wave networks, presents unprecedented challenges, particularly in regions prone to dust and sandstorms. These environmental factors can significantly impact 5G signals by attenuating radio waves, leading to signal...

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Main Authors: Mezaal M.T., Aripin N.B.M., Othman N.S., Sallomi A.H.
Other Authors: 58938422900
Format: Article
Published: Elsevier B.V. 2025
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5g
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spelling my.uniten.dspace-366482025-03-03T15:43:38Z Empirical modelling of dust storm path attenuation for 5G mmWave Mezaal M.T. Aripin N.B.M. Othman N.S. Sallomi A.H. 58938422900 35092180800 56426823300 57192647171 5G mobile communication systems Complex networks Millimeter waves Particle size Particle size analysis Storms 5g Attenuation Dust and sandstorm Dust storm Environmental factors Line-of-sight scenarios Mm waves Nonline of sight NYUSIM Wireless communications Dust The rapid evolution of communication technologies, particularly the emergence of 5G mm-wave networks, presents unprecedented challenges, particularly in regions prone to dust and sandstorms. These environmental factors can significantly impact 5G signals by attenuating radio waves, leading to signal degradation. This paper investigates the complex interplay between dust storms and 5G mm-wave wireless communication, offering a novel and comprehensive analysis that extends beyond existing models. Our study investigates into the impact of dust storms on 5G mm-wave wireless communication, specifically focusing on signal attenuations under both non-line of sight (NLOS) and line of sight (LOS) conditions. Through the utilize of the NYUSIM channel simulator and exploration of parameters such as dust particle size, storm duration, and environmental factors, we present a detailed numerical results. In the NLOS scenario, path loss measurements record substantial values, highlighting the significant impact of dust storms across different mm-wave frequencies. Conversely, in the LOS scenario, our findings reveal distinct patterns of path loss and shadow fading, shedding light on the complex interaction between dust storms and signal propagation. This research marks a significant advancement in the field, providing a quantitative foundation for addressing dust-induced attenuation in 5G mm-wave communication. By emphasizing novel research methodologies and innovative ideas, our study contributes to a deeper understanding of the challenges posed by dust storms in 5G mm-wave wireless communication systems, paving the way for more effective mitigation strategies and network optimization techniques. ? 2024 The Authors Final 2025-03-03T07:43:38Z 2025-03-03T07:43:38Z 2024 Article 10.1016/j.rineng.2024.102092 2-s2.0-85189931581 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189931581&doi=10.1016%2fj.rineng.2024.102092&partnerID=40&md5=18455263dedbea3227c6d494c8fee871 https://irepository.uniten.edu.my/handle/123456789/36648 22 102092 All Open Access; Gold Open Access Elsevier B.V. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic 5G mobile communication systems
Complex networks
Millimeter waves
Particle size
Particle size analysis
Storms
5g
Attenuation
Dust and sandstorm
Dust storm
Environmental factors
Line-of-sight scenarios
Mm waves
Nonline of sight
NYUSIM
Wireless communications
Dust
spellingShingle 5G mobile communication systems
Complex networks
Millimeter waves
Particle size
Particle size analysis
Storms
5g
Attenuation
Dust and sandstorm
Dust storm
Environmental factors
Line-of-sight scenarios
Mm waves
Nonline of sight
NYUSIM
Wireless communications
Dust
Mezaal M.T.
Aripin N.B.M.
Othman N.S.
Sallomi A.H.
Empirical modelling of dust storm path attenuation for 5G mmWave
description The rapid evolution of communication technologies, particularly the emergence of 5G mm-wave networks, presents unprecedented challenges, particularly in regions prone to dust and sandstorms. These environmental factors can significantly impact 5G signals by attenuating radio waves, leading to signal degradation. This paper investigates the complex interplay between dust storms and 5G mm-wave wireless communication, offering a novel and comprehensive analysis that extends beyond existing models. Our study investigates into the impact of dust storms on 5G mm-wave wireless communication, specifically focusing on signal attenuations under both non-line of sight (NLOS) and line of sight (LOS) conditions. Through the utilize of the NYUSIM channel simulator and exploration of parameters such as dust particle size, storm duration, and environmental factors, we present a detailed numerical results. In the NLOS scenario, path loss measurements record substantial values, highlighting the significant impact of dust storms across different mm-wave frequencies. Conversely, in the LOS scenario, our findings reveal distinct patterns of path loss and shadow fading, shedding light on the complex interaction between dust storms and signal propagation. This research marks a significant advancement in the field, providing a quantitative foundation for addressing dust-induced attenuation in 5G mm-wave communication. By emphasizing novel research methodologies and innovative ideas, our study contributes to a deeper understanding of the challenges posed by dust storms in 5G mm-wave wireless communication systems, paving the way for more effective mitigation strategies and network optimization techniques. ? 2024 The Authors
author2 58938422900
author_facet 58938422900
Mezaal M.T.
Aripin N.B.M.
Othman N.S.
Sallomi A.H.
format Article
author Mezaal M.T.
Aripin N.B.M.
Othman N.S.
Sallomi A.H.
author_sort Mezaal M.T.
title Empirical modelling of dust storm path attenuation for 5G mmWave
title_short Empirical modelling of dust storm path attenuation for 5G mmWave
title_full Empirical modelling of dust storm path attenuation for 5G mmWave
title_fullStr Empirical modelling of dust storm path attenuation for 5G mmWave
title_full_unstemmed Empirical modelling of dust storm path attenuation for 5G mmWave
title_sort empirical modelling of dust storm path attenuation for 5g mmwave
publisher Elsevier B.V.
publishDate 2025
_version_ 1825816113115561984
score 13.244413