Optical networks management and control: A review and recent challenges
In the last twenty years, optical networks have witnessed recurrent changes in their
management and control architecture. In this paper, we present a historical timeline and a …
management and control architecture. In this paper, we present a historical timeline and a …
Modeling EDFA gain ripple and filter penalties with machine learning for accurate QoT estimation
For reliable and efficient network planning and operation, accurate estimation of Quality of
Transmission (QoT) before establishing or reconfiguring the connection is necessary. In …
Transmission (QoT) before establishing or reconfiguring the connection is necessary. In …
Machine learning for optical network security monitoring: A practical perspective
In order to accomplish cost-efficient management of complex optical communication
networks, operators are seeking automation of network diagnosis and management by …
networks, operators are seeking automation of network diagnosis and management by …
An overview on machine learning-based solutions to improve lightpath QoT estimation
Estimating lightpath Quality of Transmission (QoT) is crucial in network design and service
provisioning. Recent studies have turned to Machine Learning (ML) techniques to improve …
provisioning. Recent studies have turned to Machine Learning (ML) techniques to improve …
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 …
Optical performance monitoring of multiple parameters in future optical networks
D Wang, H Jiang, G Liang, Q Zhan… - Journal of Lightwave …, 2020 - ieeexplore.ieee.org
Optical performance monitoring (OPM) is an important tool to facilitate the management of
future optical fiber communication networks. OPM measures the states of the physical layer …
future optical fiber communication networks. OPM measures the states of the physical layer …
Measurement informed models and digital twins for optical fiber communication systems
Digital coherent transceivers have developed to the stage that they can monitor the physical
state of an optical network and thus are capable of generating data to build measurement …
state of an optical network and thus are capable of generating data to build measurement …
Enhancing lightpath QoT computation with machine learning in partially disaggregated optical networks
Increasing traffic demands are causing network operators to adopt disaggregated and open
networking solutions to better exploit optical transmission capacity, and consequently …
networking solutions to better exploit optical transmission capacity, and consequently …
Experimental impact of power re-optimization in a mesh network
We experimentally observe the signal-to-noise ratio (SNR) degradation of previously
established services induced by loading new services in a network, and we mitigate this …
established services induced by loading new services in a network, and we mitigate this …
Proposal of linear least squares for fiber-nonlinearity-based longitudinal power monitoring in multi-span link
Proposal of Linear Least Squares for Fiber-Nonlinearity-Based Longitudinal Power Monitoring
in Multi-Span Link Page 1 OECC/PSC 2022 ©IEICE Proposal of Linear Least Squares for …
in Multi-Span Link Page 1 OECC/PSC 2022 ©IEICE Proposal of Linear Least Squares for …