Lightpath QoT computation in optical networks assisted by transfer learning
Precise computation of the quality of transmission (QoT) of lightpaths (LPs) in transparent
optical networks has techno-economic importance for any network operator. The QoT metric …
optical networks has techno-economic importance for any network operator. The QoT metric …
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 …
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 …
Transfer learning aided qot computation in network operating with the 400zr standard
The current increase in bandwidth-hungry applications and the progressively evolving
concept of connected" smart" devices through the internet have increased internet traffic …
concept of connected" smart" devices through the internet have increased internet traffic …
Machine-learning-based lightpath QoT estimation and forecasting
S Allogba, S Aladin, C Tremblay - Journal of Lightwave Technology, 2022 - opg.optica.org
Machine learning (ML) is more and more used to address the challenges of managing the
physical layer of increasingly heterogeneous and complex optical networks. In this tutorial …
physical layer of increasingly heterogeneous and complex optical networks. In this tutorial …
Advanced formulation of QoT-estimation for un-established lightpaths using cross-train machine learning methods
Planning tools with excellent accuracy along with precise and advance estimation of the
quality of transmission (QoT) of lightpaths (LPs) have techno-economic importance for a …
quality of transmission (QoT) of lightpaths (LPs) have techno-economic importance for a …
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 …
Machine learning regression for QoT estimation of unestablished lightpaths
Estimating the quality of transmission (QoT) of a candidate lightpath prior to its establishment
is of pivotal importance for effective decision making in resource allocation for optical …
is of pivotal importance for effective decision making in resource allocation for optical …
Machine-learning method for quality of transmission prediction of unestablished lightpaths
Predicting the quality of transmission (QoT) of a lightpath prior to its deployment is a step of
capital importance for an optimized design of optical networks. Due to the continuous …
capital importance for an optimized design of optical networks. Due to the continuous …
Assessment on the in-field lightpath QoT computation including connector loss uncertainties
Reliable and conservative computation of the quality of transmission (QoT) of transparent
lightpaths (LPs) is a crucial need for software-defined control and management of the …
lightpaths (LPs) is a crucial need for software-defined control and management of the …