Genetic ANFIS for scheduling in telecommunication networks

Olena O. Semenova; Andriy O. Semenov; Oleg V. Bisikalo; Pavlo I. Kulakov; Rami R. Hamdi; Ryszard Romaniuk; Baituma Bissarinov

doi:10.1117/12.2501503

1 October 2018 Genetic ANFIS for scheduling in telecommunication networks

Olena O. Semenova, Andriy O. Semenov, Oleg V. Bisikalo, Pavlo I. Kulakov, Rami R. Hamdi, Ryszard Romaniuk, Baituma Bissarinov

Author Affiliations +

Proceedings Volume 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018; 108081Z (2018) https://doi.org/10.1117/12.2501503
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 2018, Wilga, Poland

Abstract

The paper proposes using a fuzzy controller in telecommunication networks for improving the scheduling process. A structure of the fuzzy controller was developed. Linguistic variables, terms and membership functions for input and output values were defined. A rules base was developed. An Adaptive Neuro-fuzzy Inference System (ANFIS) on the base of the fuzzy-controller was developed. A genetic algorithm to improve the rule base was proposed. The operation of ANFIS was simulated and trained.

Citation Download Citation

Olena O. Semenova, Andriy O. Semenov, Oleg V. Bisikalo, Pavlo I. Kulakov, Rami R. Hamdi, Ryszard Romaniuk, and Baituma Bissarinov "Genetic ANFIS for scheduling in telecommunication networks", Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 108081Z (1 October 2018); https://doi.org/10.1117/12.2501503

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