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 …
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
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 …
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
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 …
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
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 …
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 …
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
Efficient resource allocation and management can enhance the capacity of an optical
backbone network. In this context, spectrum retuning via hitless defragmentation has been …
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 …
(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
Multiband elastic optical network (MB-EON) technology can help to sustain exponential
traffic growth in the optical backbone network. However, multiband operation creates high …
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 …
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
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 …
has been regarded as one of the most critical factors to reduce the design margins. In recent …