Hopfield neural network-based fault location in wireless and optical networks for smart city IoT

B Wang, H Yang, Q Yao, A Yu, T Hong… - … & Mobile Computing …, 2019 - ieeexplore.ieee.org
With the rapid evolution of smart city all over the world, the appealing services of IoT and big
data analytics have prompted the design of more reliable assurance mechanism for network …

Applying data visualization for failure localization

AP Vela, M Ruiz, L Velasco - Optical Fiber Communication …, 2018 - opg.optica.org
Applying Data Visualization for Failure Localization Page 1 W1D.5.pdf OFC 2018 © OSA 2018
Applying Data Visualization for Failure Localization Alba P. Vela, Marc Ruiz, and Luis Velasco …

Field trial: demonstrating automatic reconfiguration of optical networks based on finite state machine

N Sambo, K Christodoulopoulos… - Journal of Lightwave …, 2019 - ieeexplore.ieee.org
Optical networks are evolving toward self-adaptation exploiting self-observation of network
conditions (eg, through monitoring at the physical layer). Thus, according to monitoring …

Low-cost signal spectrum monitoring enabled by multiband pilot tone techniques

Z Jiang, X Tang - 2018 European Conference on Optical …, 2018 - ieeexplore.ieee.org
Multiband pilot tone-based optical performance monitoring is introduced and its generation
mechanism in the digital domain is described. We experimentally demonstrate monitoring of …

Experimental Validation of Machine Learning-Based Joint Failure Management and Quality of Transmission Estimation

LE Kruse, S Kühl, A Dochhan… - IEEE Photonics …, 2023 - ieeexplore.ieee.org
The exponentially growing demand for high-speed data necessitates more complex and
versatile networks. Optimization and reliability assurance of such high-complexity networks …

[PDF][PDF] Auxiliary Fault Location on Commercial Equipment Based on Supervised Machine Learning

Z Zhao, Y Zhao, B Yan, D Wang - ZTE Communications, 2022 - zte.magtechjournal.com
As the fundamental infrastructure of the Internet, the optical network carries a great amount
of Internet traffic. There would be great financial losses if some faults happen. Therefore …

Experimental demonstration of soft failure identification based on digital residual spectrum and machine learning

K Sun, Z Yu, L Shu, Z Wan, H Huang… - … Conference on UK …, 2021 - ieeexplore.ieee.org
While machine learning (ML)-based soft failure management in optical network is flexible
and efficient, several challenges stand in the way of its actual deployment. The performance …

EDFA soft-failure detection and lifetime prediction based on spectral data using 1-D convolutional neural network

L Kruse, S Pachnicke - Photonic Networks; 22th ITG …, 2021 - ieeexplore.ieee.org
With the emergence of 5G and the immense demand of data in today's society the reliability
of optical networks is even more important. In this context, maintaining the quality-of-service …

Low-complexity storage-reduced digital spectrum-based soft-failure management with Welch's method

L Shu, Z Yu, Z Wan, K Xu - Optics Express, 2020 - opg.optica.org
In this paper, we propose a low-complexity storage-reduced digital spectrum-based soft
failure management solution including soft failure detection (SFD), identification (SFI) and …

DeepGOMIMO: Deep Learning-Aided Generalized Optical MIMO with CSI-Free Detection

X Zhong, C Chen, S Fu, Z Zeng, M Liu - Photonics, 2022 - mdpi.com
Generalized optical multiple-input multiple-output (GOMIMO) techniques have been recently
shown to be promising for high-speed optical wireless communication (OWC) systems. In …