An overview on application of machine learning techniques in optical networks
Today's telecommunication networks have become sources of enormous amounts of widely
heterogeneous data. This information can be retrieved from network traffic traces, network …
heterogeneous data. This information can be retrieved from network traffic traces, network …
[HTML][HTML] Artificial intelligence (AI) methods in optical networks: A comprehensive survey
Artificial intelligence (AI) is an extensive scientific discipline which enables computer
systems to solve problems by emulating complex biological processes such as learning …
systems to solve problems by emulating complex biological processes such as learning …
A survey on QoT prediction using machine learning in optical networks
In optical networks, a connection (eg, light-path and light-tree) is set up to carry data from its
source to destination (s). When the optical signal transmits through the fiber links and optical …
source to destination (s). When the optical signal transmits through the fiber links and optical …
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 …
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 …
Cognitive tool for estimating the QoT of new lightpaths
S Aladin, C Tremblay - 2018 Optical Fiber Communications …, 2018 - ieeexplore.ieee.org
Cognitive Tool for Estimating the QoT of New Lightpaths Page 1 M3A.3.pdf OFC 2018 © OSA
2018 Cognitive Tool for Estimating the QoT of New Lightpaths Sandra Aladin, Christine …
2018 Cognitive Tool for Estimating the QoT of New Lightpaths Sandra Aladin, Christine …
A cognitive quality of transmission estimator for core optical networks
We propose a cognitive Quality of Transmission (QoT) estimator for classifying lightpaths
into high or low quality categories in impairment-aware wavelength-routed optical networks …
into high or low quality categories in impairment-aware wavelength-routed optical networks …
A SVM approach for lightpath QoT estimation in optical transport networks
A novel quality of transmission (QoT) estimator based on support vector machines (SVM) is
proposed for classifying optical connections (lightpaths) into high or low quality categories in …
proposed for classifying optical connections (lightpaths) into high or low quality categories in …
Assessment of cross-train machine learning techniques for QoT-estimation in agnostic optical networks
With the evolution of 5G technology, high definition video, virtual reality, and the internet of
things (IoT), the demand for high capacity optical networks has been increasing …
things (IoT), the demand for high capacity optical networks has been increasing …
Hierarchical learning for cognitive end-to-end service provisioning in multi-domain autonomous optical networks
This paper demonstrates, for the first time to our knowledge, hierarchical learning framework
for inter-domain service provisioning in software-defined elastic optical networking (EON) …
for inter-domain service provisioning in software-defined elastic optical networking (EON) …