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Article

Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks

1
Computer Science Institute, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland
2
Telecommunications and Teleinformatics Department, Wroclaw University of Science and Technology, Wyb. Wyspianskiego 27, 50-370 Wroclaw, Poland
*
Author to whom correspondence should be addressed.
Entropy 2021, 23(1), 7; https://doi.org/10.3390/e23010007
Received: 30 November 2020 / Revised: 16 December 2020 / Accepted: 17 December 2020 / Published: 22 December 2020
(This article belongs to the Special Issue Theory and Applications of Information Theoretic Machine Learning)
Increasing demand in the backbone Dense Wavelength Division (DWDM) Multiplexing network traffic prompts an introduction of new solutions that allow increasing the transmission speed without significant increase of the service cost. In order to achieve this objective simpler and faster, DWDM network reconfiguration procedures are needed. A key problem that is intrinsically related to network reconfiguration is that of the quality of transmission assessment. Thus, in this contribution a Machine Learning (ML) based method for an assessment of the quality of transmission is proposed. The proposed ML methods use a database, which was created only on the basis of information that is available to a DWDM network operator via the DWDM network control plane. Several types of ML classifiers are proposed and their performance is tested and compared for two real DWDM network topologies. The results obtained are promising and motivate further research. View Full-Text
Keywords: artificial intelligence; machine learning; optical networks; quality of transmission; machine learning classifiers artificial intelligence; machine learning; optical networks; quality of transmission; machine learning classifiers
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MDPI and ACS Style

Kozdrowski, S.; Cichosz, P.; Paziewski, P.; Sujecki, S. Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks. Entropy 2021, 23, 7. https://doi.org/10.3390/e23010007

AMA Style

Kozdrowski S, Cichosz P, Paziewski P, Sujecki S. Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks. Entropy. 2021; 23(1):7. https://doi.org/10.3390/e23010007

Chicago/Turabian Style

Kozdrowski, Stanisław, Paweł Cichosz, Piotr Paziewski, and Sławomir Sujecki. 2021. "Machine Learning Algorithms for Prediction of the Quality of Transmission in Optical Networks" Entropy 23, no. 1: 7. https://doi.org/10.3390/e23010007

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