Hybrid FSO/RF Networks with Neural Prediction of RSSI and Weather

Department of Electronics and Multimedia Telecommunications, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Košice, Slovak Republic

L’uboš Ovseník

lubos.ovsenik@tuke.sk

Department of Electronics and Multimedia Telecommunications, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Košice, Slovak Republic

Jakub Oravec

jakub.oravec@tuke.sk

Department of Electronics and Multimedia Telecommunications, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Košice, Slovak Republic

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DOI: https://doi.org/10.2478/aei-2025-0015 | Journal eISSN: 1338-3957 | Journal ISSN: 1335-8243

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Language: English

Page range: 17 - 24

Submitted on: Jun 30, 2025

Accepted on: Aug 23, 2025

Published on: Feb 25, 2026

Published by: Technical University of Košice

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Switching of hybrid FSO/RF systems,

LSTM,

RSSI,

RNN,

prediction

Related subjects:

Computer sciences,

Information technology,

Databases and data mining,

Engineering,

Electrical engineering,

Information technology

© 2026 Zuzana Liščinská, L’uboš Ovseník, Jakub Oravec, published by Technical University of Košice
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 25 (2025): Issue 4 (December 2025)