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Proceedings Paper

Applying artificial intelligence for cellular networks optimization
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Paper Abstract

Artificial Intelligence may be used to solve complex technical and practical problems. Moreover, such Artificial Intelligence techniques as Fuzzy Systems, Artificial Neural Networks, Evolutionary and Genetic Algorithms have a great potential in providing optimization, prediction and management of communication system in a dynamic wireless environment. Artificial Intelligence approach provides optimized results in a challenging task of the call admission control process in cellular networks. The paper proposes a methodology for developing a genetic neuro-fuzzy controller for call admission in cellular networks. A structure of the access fuzzy controller was suggested. Linguistic variables, their terms as well as membership functions for input and output values were determined. A rule base was proposed. A Neuro-fuzzy System on the base of the fuzzy-controller was designed and simulated. A genetic algorithm was proposed for optimizing the rule base.

Paper Details

Date Published: 6 November 2019
PDF: 8 pages
Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 111761Z (6 November 2019); doi: 10.1117/12.2536857
Show Author Affiliations
Olena O. Semenova, Vinnytsia National Technical Univ. (Ukraine)
Andriy O. Semenov, Vinnytsia National Technical Univ. (Ukraine)
Oleg V. Bisikalo, Vinnytsia National Technical Univ. (Ukraine)
Volodymyr Yu. Kucheruk, Vinnytsia National Technical Univ. (Ukraine)
Pavel I. Kulakov, Vinnytsia National Technical Univ. (Ukraine)
Ryszard Romaniuk, Warsaw Univ. of Technology (Poland)
Paweł Komada, Lublin Univ. of Technology (Poland)
Karlygash Nurseitova, D. Serikbayev East Kazakhstan State Technical Univ. (Kazakhstan)

Published in SPIE Proceedings Vol. 11176:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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