干旱区生态环境知识资源中心(Arid): Signal Attenuation Prediction Model for a 22 GHz Terrestrial Communication Link in Sudan Due to Dust and Sand Storms Using Machine Learning

Arid

DOI	10.1109/ACCESS.2021.3132700
	Signal Attenuation Prediction Model for a 22 GHz Terrestrial Communication Link in Sudan Due to Dust and Sand Storms Using Machine Learning
	Shamim, Mohammed Zubair M.; Elsheikh, Elfatih Abdelrahman Ahmed; Salih, Fakher Eldin Mohamed Suliman; Islam, Md Rafiqul
通讯作者	Elsheikh, EAA (corresponding author), King Khalid Univ, Dept Elect Engn, Coll Engn, Abha 62529, Saudi Arabia.
来源期刊	IEEE ACCESS
ISSN	2169-3536
出版年	2021
卷号	9 页码:164632-164642
英文摘要	Signal attenuation due to dust and sand storms is one of the major problems in the utilization of microwave frequency bands for terrestrial and space communication especially in arid regions such as Northern Africa and Middle Eastern regions. In this paper, a machine learning (ML) model is developed to predict microwave signal attenuation due to atmospheric conditions recorded during dust and sand storms. The model utilizes recorded meteorological data, particularly optical visibility, temperature, relative humidity, atmospheric pressure, and wind speed conditions to predict the signal attenuation for a 22GHz operating frequency terrestrial link in Sudan. Compared to measured values, the predicted signal attenuation values show a relatively optimistic relation between meteorological data and microwave signal attenuation when utilizing all the meteorological features.
英文关键词	Storms Attenuation Atmospheric modeling Microwave measurement Microwave communication Humidity Atmospheric measurements Dust and sand storms machine learning microwave signal attenuation terrestrial communication
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000734424700001
WOS关键词	PROPAGATION
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS研究方向	Computer Science ; Engineering ; Telecommunications
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373551
作者单位	[Shamim, Mohammed Zubair M.; Elsheikh, Elfatih Abdelrahman Ahmed; Salih, Fakher Eldin Mohamed Suliman] King Khalid Univ, Dept Elect Engn, Coll Engn, Abha 62529, Saudi Arabia; [Shamim, Mohammed Zubair M.] King Khalid Univ, Ctr Arti cial Intelligence, Abha 61413, Saudi Arabia; [Islam, Md Rafiqul] Int Islamic Univ Malaysia, Dept Elect & Comp Engn, Fac Engn, Kuala Lumpur 50728, Malaysia
推荐引用方式 GB/T 7714	Shamim, Mohammed Zubair M.,Elsheikh, Elfatih Abdelrahman Ahmed,Salih, Fakher Eldin Mohamed Suliman,et al. Signal Attenuation Prediction Model for a 22 GHz Terrestrial Communication Link in Sudan Due to Dust and Sand Storms Using Machine Learning[J],2021,9:164632-164642.
APA	Shamim, Mohammed Zubair M.,Elsheikh, Elfatih Abdelrahman Ahmed,Salih, Fakher Eldin Mohamed Suliman,&Islam, Md Rafiqul.(2021).Signal Attenuation Prediction Model for a 22 GHz Terrestrial Communication Link in Sudan Due to Dust and Sand Storms Using Machine Learning.IEEE ACCESS,9,164632-164642.
MLA	Shamim, Mohammed Zubair M.,et al."Signal Attenuation Prediction Model for a 22 GHz Terrestrial Communication Link in Sudan Due to Dust and Sand Storms Using Machine Learning".IEEE ACCESS 9(2021):164632-164642.