Examination rain and fog attenuation for path loss prediction in millimeter wave range

The core solution for the congestion bandwidth which are utilizing these days in radio propagation inevitably is to move forward to higher frequencies, which millimeter wave frequencies can provide it as well as satisfy clients requests such as huge capacity and fast data rate. On the other hand, th...

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Bibliographic Details
Main Authors: Elmutasim, Imadeldin Elsayed, Izzeldin Ibrahim, Mohamed Abdelaziz
Format: Conference or Workshop Item
Language:English
English
Published: Springer 2021
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/40925/1/Examination%20Rain%20and%20Fog%20Attenuation%20for%20Path%20Loss%20Prediction_ABST.pdf
http://umpir.ump.edu.my/id/eprint/40925/2/Examination%20Rain%20and%20Fog%20Attenuation%20for%20Path%20Loss%20Prediction%20in%20Millimeter%20Wave%20Range.pdf
http://umpir.ump.edu.my/id/eprint/40925/
https://doi.org/10.1007/978-981-15-5281-6_67
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Summary:The core solution for the congestion bandwidth which are utilizing these days in radio propagation inevitably is to move forward to higher frequencies, which millimeter wave frequencies can provide it as well as satisfy clients requests such as huge capacity and fast data rate. On the other hand, the high vulnerable from complex condition become holdback for instance attenuation which case due to atmospheric absorption such as rain, fog, foliage, oxygen and water vapor. Coverage planning depends on which propagation model use in various atmospheres to accomplish reasonable and dependable system. In this paper we concentrating on rain and fog parameters which are both represent most significant condition variables to encourage the planners of wireless networks to select appropriate model, which can structure and actualize the fitting model. Likewise, we look at among three different models exponential, polynomial and power to utilizing scientific conditions and goodness of fit parameters to demonstrate clearly data curve. The outcome shows that polynomial agreeable model for rainy and foggy atmospheric, and will extend the methodology to other models utilizing real data analysis to obtain comprehensive contributable results, which will conceivably be valuable assessment to millimeter wave frequencies planners.