Machine learning techniques in optical networks: a systematic mapping study

G Villa, C Tipantuña, D Guamán, GV Arévalo… - IEEE …, 2023 - ieeexplore.ieee.org
During the last decade, optical networks have become “smart networks”. Software-defined
networks, software-defined optical networks, and elastic optical networks are some …

Multi-associated parameters aggregation-based routing and resources allocation in multi-core elastic optical networks

H Yang, Q Yao, B Bao, A Yu, J Zhang… - … /ACM Transactions on …, 2022 - ieeexplore.ieee.org
Space division multiplexing (SDM), as a potential means of enhancing the capacity of optical
transmission systems, has attracted widespread attention. However, the adoption of SDM …

Survey on the use of machine learning for quality of transmission estimation in optical transport networks

R Ayassi, A Triki, N Crespi, R Minerva… - Journal of Lightwave …, 2022 - ieeexplore.ieee.org
Estimating the Quality of Transmission (QoT) of the optical signal from source to destination
nodes is the cornerstone of design engineering and service provisioning in optical transport …

QoT estimation using EGN-assisted machine learning for multi-period network planning

J Müller, SK Patri, T Fehenberger… - Journal of Optical …, 2022 - opg.optica.org
The rapidly growing traffic demands in fiber-optical networks require flexibility and accuracy
in configuring lightpaths, for which fast and accurate quality of transmission (QoT) estimation …

Machine learning aided optimization for balanced resource allocations in SDM-EONs

S Petale, S Subramaniam - Journal of Optical Communications and …, 2023 - opg.optica.org
A fine-grained flexible frequency grid for elastic optical transmission and space division
multiplexing in conjunction with spectrally efficient modulations is an excellent solution to the …

Machine learning-assisted nonlinear-impairment-aware proactive defragmentation for C+L band elastic optical networks

RK Jana, BC Chatterjee, AP Singh… - Journal of Optical …, 2022 - opg.optica.org
Efficient resource allocation and management can enhance the capacity of an optical
backbone network. In this context, spectrum retuning via hitless defragmentation has been …

Optical power control for GSNR optimization based on C+ L-band digital twin systems

Y Zhang, X Pang, Y Song, Y Wang… - Journal of Lightwave …, 2023 - ieeexplore.ieee.org
The generalized signal-to-noise ratio (GSNR) is a typical metric for quality of transmission
(QoT), which in wideband systems may not be uniform without adjustment after multi-span …

Quality-aware resource provisioning for multiband elastic optical networks: a deep-learning-assisted approach

RK Jana, BC Chatterjee, AP Singh… - Journal of Optical …, 2022 - ieeexplore.ieee.org
Multiband elastic optical network (MB-EON) technology can help to sustain exponential
traffic growth in the optical backbone network. However, multiband operation creates high …

Spectral power profile optimization of a field-deployed wavelength-division multiplexing network enabled by remote EDFA modeling

RT Jones, KRH Bottrill, N Taengnoi… - Journal of Optical …, 2023 - opg.optica.org
We propose a technique for modeling erbium-doped fiber amplifiers (EDFAs) in optical fiber
networks, where the amplifier unit is located at a distant node outside the laboratory. We …

Invariant convolutional neural network for robust and generalizable QoT estimation in fiber-optic networks

Q Wang, Z Cai, APT Lau, Y Li… - Journal of Optical …, 2023 - opg.optica.org
Accurately estimating the quality of transmission (QoT) in modern transport optical networks
has been regarded as one of the most critical factors to reduce the design margins. In recent …