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 …
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 …
Artificial intelligence techniques to improve quality of transmission estimation in optical networks
R Ayassi - 2023 - theses.hal.science
Estimating lightpath Quality of Transmission (QoT) is crucial in network design and service
provisioning. Recent studies have turned to artificial intelligence (AI) techniques to improve …
provisioning. Recent studies have turned to artificial intelligence (AI) techniques to improve …
DNN-based QoT Estimation Using Topological Inputs and Training with Synthetic-Physical Data
KS Mayer, LCM Dos Santos, RP Pinto… - 2023 IEEE Photonics …, 2023 - ieeexplore.ieee.org
We propose a DNN-based QoT estimation technique that operates on a network-wide scale.
The DNN training data is composed of connection paths, frequency slots, and OSNR …
The DNN training data is composed of connection paths, frequency slots, and OSNR …