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Machine learning techniques in optical networks: a systematic map** study
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 …
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 …
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 …
Convolutional neural network for quality of transmission prediction of unestablished lightpaths
With the advancement in evolving concepts of software‐defined networks and elastic‐optical‐
network, the number of design parameters is growing dramatically, making the lightpath (LP) …
network, the number of design parameters is growing dramatically, making the lightpath (LP) …
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 …
Unified monitoring and telemetry platform supporting network intelligence in optical networks
In recent years, machine-learning (ML) applications have<? TeX 2pc 0pt?> generated
considerable interest and shown great potential in optimizing optical network management …
considerable interest and shown great potential in optimizing optical network management …
Cross-feature trained machine learning models for QoT-estimation in optical networks
The ever-increasing demand for global internet traffic, together with evolving concepts of
software-defined networks and elastic-optical-networks, demand not only the total capacity …
software-defined networks and elastic-optical-networks, demand not only the total capacity …
On Efficient Candidate Path Selection for Dynamic Routing in Elastic Optical Networks
B Patel, H Ji, S Nayak, T Ding, Y Pan… - 2020 11th IEEE Annual …, 2020 - ieeexplore.ieee.org
Elastic Optical Networks are based on the Orthogonal frequency-division multiplexing
(OFDM), thus providing a more efficient and flexible data-transferring network than fixed-grid …
(OFDM), thus providing a more efficient and flexible data-transferring network than fixed-grid …