Department of Business Development and Technology

Prediction of Radio Wave Attenuation due to Cloud Using Machine Learning Techniques

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

  • Hitesh Singh, Noida Institute of Engineering and Technology
  • ,
  • Vivek Kumar, Noida Institute of Engineering and Technology
  • ,
  • Kumud Saxena, Noida Institute of Engineering and Technology
  • ,
  • Boncho Bonev, Technical University of Sofia
  • ,
  • Ramjee Prasad

The latest development in wireless technology has resulted in a surge in demand for higher frequency bands from all corners of the mobile industry. As next-generation mobile technology advance at a breakneck pace and the world moves to an online platform, technologies that provide faster internet with no lag are needed. Owing to the availability of higher bandwidth, millimetre waves and sub-millimeter waves are better candidates for this form of operation. These higher frequencies are hampered by environmental attenuation caused by rain, fog, dust, and other factors. In the case of satellite communication, cloud-induced radio wave attenuation is important. For calculating attenuation, various models such as ITU-R, Slobin, Gunn, and others are available, but ITU-R is the most commonly accepted. Water droplet dielectric constants are determined by calculating attenuation using the ITU-R model. Using machine learning techniques, a new method for measuring the real and imaginary parts of the dielectric constant of a water droplet is presented in this paper. The proposed model's results are compared to the ITU-R model's. In comparison to the ITU-R model, the proposed model has the advantage of being very straightforward since it includes quadric equations.

Original languageEnglish
Title of host publication2021 56th International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST
Number of pages4
PublisherIEEE
Publication yearJun 2021
Pages163-166
ISBN (Electronic)9781665428873
DOIs
Publication statusPublished - Jun 2021
Event56th International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST 2021 - Sozopol, Bulgaria
Duration: 16 Jun 202118 Jun 2021

Conference

Conference56th International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST 2021
LandBulgaria
BySozopol
Periode16/06/202118/06/2021

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

    Research areas

  • Cloud Attenuation, ITU-R model, Machine Learning, Millimeter waves

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