Machine learning for intelligent optical networks: A comprehensive survey
With the rapid development of Internet and communication systems, both in the aspect of
services and technologies, communication networks have been suffering increasing …
services and technologies, communication networks have been suffering increasing …
Applications of machine learning in networking: a survey of current issues and future challenges
Communication networks are expanding rapidly and becoming increasingly complex. As a
consequence, the conventional rule-based algorithms or protocols may no longer perform at …
consequence, the conventional rule-based algorithms or protocols may no longer perform at …
Machine learning meets communication networks: Current trends and future challenges
The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …
massively expanding number of connected devices and online services, require intelligent …
Machine learning techniques for quality of transmission estimation in optical networks
Y Pointurier - Journal of Optical Communications and …, 2021 - ieeexplore.ieee.org
The estimation of the quality of transmission (QoT) in optical systems with machine learning
(ML) has recently been the focus of a large body of research. We discuss the sources of …
(ML) has recently been the focus of a large body of research. We discuss the sources of …
Multi-associated parameters aggregation-based routing and resources allocation in multi-core elastic optical networks
Space division multiplexing (SDM), as a potential means of enhancing the capacity of optical
transmission systems, has attracted widespread attention. However, the adoption of SDM …
transmission systems, has attracted widespread attention. However, the adoption of SDM …
Provisioning in multi-band optical networks
Multi-band (MB) optical transmission promises to extend the lifetime of existing optical fibre
infrastructures, which usually transmit within the C-band only, with C+ L-band being also …
infrastructures, which usually transmit within the C-band only, with C+ L-band being also …
Flexible technologies to increase optical network capacity
Increased global traffic puts tough requirements not just on fiber communications links but
on the entire network. This manifests itself in multiple ways, including how to optimize …
on the entire network. This manifests itself in multiple ways, including how to optimize …
[图书][B] Elastic optical networks: fundamentals, design, control, and management
B Chatterjee, E Oki - 2020 - taylorfrancis.com
The rapid growth in communications and internet has changed our way of life, and our
requirement for communication bandwidth. Optical networks can enable us to meet the …
requirement for communication bandwidth. Optical networks can enable us to meet the …
[HTML][HTML] Overview on routing and resource allocation based machine learning in optical networks
For optical networks, routing and resource allocation which considerably determines the
resource efficiency and network capacity is one of the most important works. It has been …
resource efficiency and network capacity is one of the most important works. It has been …
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 …