DEVELOPING SOLUTION FOR USING ARTIFICIAL INTELLIGENCE TO OBTAIN MORE ACCURATE RESULTS OF THE BASIC PARAMETERS OF RADIO SIGNAL PROPAGATION

Andrii Shchepak

k17pine@gmail.com
State University of Telecommunications (Ukraine)
http://orcid.org/0000-0002-6570-1129

Volodimir Parkhomenko


State University of Telecommunications (Ukraine)
http://orcid.org/0000-0002-7237-4330

Vyacheslav Parkhomenko


State University of Telecommunications (Ukraine)
http://orcid.org/0000-0002-9120-6842

Abstract

The article considers the methods of calculating radio signal power. The main factors influencing the distribution and their connection with the error in the calculations of the indicators' peak values are analyzed. The regularities of signal propagation and the correlation between the distance from the radio signal source and the ratio of noise to useful information are determined. These patterns allow us to develop a model of artificial intelligence, which improves the prediction of results compared to existing calculation methods. The obtained results present the efficiency of the offered method.

 


Keywords:

artificial intelligence, cellular neural networks

http://en.wikipedia.org/wiki/Fresnel_zone (available: 27.02.2021).
  Google Scholar

http://en.wikipedia.org/wiki/Overfitting (available: 27.02.2021).
  Google Scholar

Gafarov F. M., Halymanov A. F.: Artificial neural networks and their appendices. Kazan University Press, Kazan 2018.
  Google Scholar

Miura Y., Oda Y., Taka T.: Outdoor-to indoor propagation modelling with the identification of path passing through wall openings. IEEE 13th PIMRC 1/2002, 130–134.
  Google Scholar

Parkhomenko V. L.: Basics of television and radio broadcasting. State University of Telecommunications, Kyiv 2017.
  Google Scholar

Rudoy G. I.: The Choice of the Activation Function in the Prediction of Neural Networks. Journal of Machine Learning and Data Analysis 1(1)/2011, 16–39 [http://jmlda.org/papers/doc/2011/no1/Rudoy2011Selection.pdf].
  Google Scholar

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Published
2021-03-31

Cited by

Shchepak, A., Parkhomenko, V., & Parkhomenko, V. (2021). DEVELOPING SOLUTION FOR USING ARTIFICIAL INTELLIGENCE TO OBTAIN MORE ACCURATE RESULTS OF THE BASIC PARAMETERS OF RADIO SIGNAL PROPAGATION. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 11(1), 36–39. https://doi.org/10.35784/iapgos.2577

Authors

Andrii Shchepak 
k17pine@gmail.com
State University of Telecommunications Ukraine
http://orcid.org/0000-0002-6570-1129

Authors

Volodimir Parkhomenko 

State University of Telecommunications Ukraine
http://orcid.org/0000-0002-7237-4330

Authors

Vyacheslav Parkhomenko 

State University of Telecommunications Ukraine
http://orcid.org/0000-0002-9120-6842

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