A Novel Method for Prediction of Attenuation of Millimeter Waves by Fog and Smoke
Hitesh Singh1, Vivek Kumar2, Boncho Bonev3, Kumud Saxena4

1Hitesh Singh, Information Technology, NIET, Greater Noida, India.
2Vivek Kumar, Information Technology, NIET, Greater Noida, India.
3Boncho Bonev, Redio Communication and Video Technology, Technical university of Sofia, Bulgaria.
4Kummud Saxena, Information Technology, NIET, Greater Noida, India.

Manuscript received on 5 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP: 2080-2085 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4548098319/19©BEIESP | DOI: 10.35940/ijrte.C4548.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Terrestrial radio wave link faces various challenges like attenuation caused by gases, water vapor and other weather phenomenon like rain, storms, snow, fog, cloud etc. These challenges are responsible for absorption and diffusion of energy. Another kind of obstacles observed by the radio waves on terrestrial path is vegetation, lamppost, grills and other urban constructions. Different phenomenon is studied under these conditions like reflection, diffraction, refraction, scattering, depolarization etc. In case of millimeter waves various propagation studies has been performed under different scenarios. More propagation studies are needed to be done especially for fog. In this paper radio wave propagation studies are performed for fog using proposed fog model and results are compared with the other model proposed in the Literature. Another propagation study is performed for smoke which is unique of its kind. This study indicates that even smoke can causes attenuation for millimeter wave frequencies.
Keywords: Attenuation, Fog, Millimeter Waves, Radio Wave Propagation, Smoke, Cloud Attenuation

Scope of the Article:
Regression and Prediction