Optical routing: link failure detection-aided optimal routing in elastic optical networks using hybrid deep learning with target-based feature pool formation

S Sahana, K Sairam - Australian Journal of Electrical and …, 2024 - Taylor & Francis
ABSTRACT The Elastic Optical Network (EON) is a kind of optical network where a large
amount of data signals are given into the channel of optical fibre by modulating with the …

Hybrid BSO+ BMO: An Optimal Routing of Adaptive Deep Learning Approach with Attention Mechanism for Link Failure Detection in Elastic Optical Network

S Sahana, K Sairam - 2023 - researchsquare.com
Because of the enhancement in the data center services, the “Elastic Optical Network (EON)”
is a very successive framework to interlink the information centers. The EON can elastically …

Deep neural network-based soft-failure detection and failure aware routing and spectrum allocation for elastic optic networks

M Zhang, B Xu, X Li, M Yin, B Wu, K Qiu - Optical Engineering, 2019 - spiedigitallibrary.org
Soft failure with lower optical signal-to-noise ratio (OSNR) might reduce the quality of the
supported services. When the soft failure is detected, the affected existing lightpaths are …

A deep neural network model for link failure identification in multi-path ROADM based networks

DY Shimizu, KS Mayer, JA Soares… - 2020 Photonics North …, 2020 - ieeexplore.ieee.org
Critical telecommunications infrastructures, such as the modern Datacenters and 5G
networks, require a reconfigurable optical add/drop multiplexer (ROADM) optical network …

Soft failure identification for long-haul optical communication systems based on one-dimensional convolutional neural network

H Lun, M Fu, X Liu, Y Wu, L Yi, W Hu… - Journal of Lightwave …, 2020 - opg.optica.org
With the advance of elastic optical networks, optical communication systems are becoming
more flexible and dynamic. In this scenario, soft failures are more likely to occur due to …

Elastic optical network routing analysis using intelligent machine learning architecture with security analysis

L Wang - Optical and Quantum Electronics, 2023 - Springer
Allocating and routing resources in optical networks is an extremely important operation
since it has a direct bearing on the efficiency and scalability of the network's resources. As …

Potential failure cause identification for optical networks using deep learning with an attention mechanism

C Zhang, D Wang, J Jia, L Wang, K Chen… - Journal of Optical …, 2022 - opg.optica.org
With a focus on failure management in optical networks, we propose a potential failure
cause identification scheme using an attention mechanism for optical transport network …

Gated recurrent unit based autoencoder for optical link fault diagnosis in passive optical networks

K Abdelli, F Azendorf, H Grießer… - 2021 European …, 2021 - ieeexplore.ieee.org
We propose a deep learning approach based on an autoencoder for identifying and
localizing fiber faults in passive optical networks. The experimental results show that the …

[PDF][PDF] Machine Learning based Fault Detection Algorithms for Long Haul Elastic Optical Networks

IF Dick - 2021 - mediatum.ub.tum.de
Exponentially growing traffic demand and the permanent claim of minimizing operator
margins have resulted in Optical Spectrum as a Service (OSaaS), which enables leveraging …

[PDF][PDF] Optimizing Optical Fiber Faults Detection: A Comparative Analysis of Advanced Machine Learning Approaches.

KK Soothar, Y Chen, AH Magsi, C Hu… - Computers, Materials & …, 2024 - researchgate.net
Efficient optical network management poses significant importance in backhaul and access
network communication for preventing service disruptions and ensuring Quality of Service …