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Rain attenuation statistics over 5G millimetre wave links in Malaysia


 
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1. Title Title of document Rain attenuation statistics over 5G millimetre wave links in Malaysia
 
2. Creator Author's name, affiliation, country Mustafa Ghanim; Universiti Teknologi Malaysia; Malaysia
 
2. Creator Author's name, affiliation, country Manhal Alhilali; Universiti Teknologi Malaysia; Malaysia
 
2. Creator Author's name, affiliation, country Jafri Din; Universiti Teknologi Malaysia; Malaysia
 
2. Creator Author's name, affiliation, country Hong Yin Lam; Universiti Tun Hussein Onn Malaysia; Malaysia
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Fifth generation (5G), Millimetre wave Communication, Rain Attenuation, prediction Models.
 
4. Description Abstract

Millimetre wave band is a solid contender to be utilized for the future 5G wireless systems deployment. Rain-induced attenuation is a major disadvantage at these frequencies. This paper presents statistics of rain-induced attenuation and rainfall data for two years of horizontally polarized links propagating at 38 GHz and 26 GHz over a terrestrial path link of 301 meters. From the analysed datasets, a rain rate around 116 mm/h exceeded at 0.01% of the time of an average year, while the links recorded 16 and 9.5 dB at the same percentage of time for 38 and 26 GHz respectively. The study aims to identify the prediction model that deliver most reasonable predictions for 5G links operating in Malaysian tropical climate. ITU-R P.530-17, Mello’s, and Ghiani’s models were all examined. Using ITU-R model, relative error margins of around 3.8%, 30% and 49.7% alongside 22.3, 9.5, 33% were obtained in 0.1%, 0.01% and 0.001% of the time for 26 and 38 GHz respectively.  Curiously, ITU-R model demonstrates better predictions to measured rain attenuation with lower error probability. This study highlights the need for new prediction models for short path-length 5G links and helps to improve the design of terrestrial links operating at millimetre wave frequencies in tropical regions.

 
5. Publisher Organizing agency, location Institute of Advanced Engineering and Science
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2019-05-01
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier https://ijeecs.iaescore.com/index.php/IJEECS/article/view/17841
 
10. Identifier Digital Object Identifier (DOI) http://doi.org/10.11591/ijeecs.v14.i2.pp1012-1017
 
11. Source Title; vol., no. (year) Indonesian Journal of Electrical Engineering and Computer Science; Vol 14, No 2: May 2019
 
12. Language English=en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions Copyright (c) 2019 Institute of Advanced Engineering and Science
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