[HTML][HTML] Artificial intelligence (AI) methods in optical networks: A comprehensive survey

J Mata, I De Miguel, RJ Durán, N Merayo… - Optical switching and …, 2018 - Elsevier
Artificial intelligence (AI) is an extensive scientific discipline which enables computer
systems to solve problems by emulating complex biological processes such as learning …

A survey on traffic prediction techniques using artificial intelligence for communication networks

A Chen, J Law, M Aibin - Telecom, 2021 - mdpi.com
Much research effort has been conducted to introduce intelligence into communication
networks in order to enhance network performance. Communication networks, both wired …

Machine-learning-based prediction for resource (re) allocation in optical data center networks

SK Singh, A Jukan - Journal of Optical Communications and …, 2018 - ieeexplore.ieee.org
Traffic prediction and utilization of past information are essential requirements for intelligent
and efficient management of resources, especially in optical data center networks (ODCNs) …

Online routing and spectrum allocation in elastic optical networks based on dueling Deep Q-network

J Zhang, F Qian, J Yang - Computers & Industrial Engineering, 2022 - Elsevier
The study of online routing and spectrum allocation (RSA) problem has assumed increasing
importance due to the exponential growth of dynamic traffic with uncertainty in elastic optical …

Core and spectrum allocation to achieve graceful degradation of inter-core crosstalk with generalized hierarchical core prioritization on space-division multiplexing …

Y Seki, Y Tanigawa, Y Hirota… - Journal of Optical …, 2022 - ieeexplore.ieee.org
Space-division multiplexing elastic optical networks (SDM-EONs) with multi-core fibers
(MCFs) are expected to meet the exponentially increasing demand for traffic. However, it is …

Invalid-resource-aware spectrum assignment for advanced-reservation traffic in elastic optical network

S He, Y Qiu, J Xu - Sensors, 2020 - mdpi.com
Elastic optical networks (EONs) can make service accommodation more flexible and precise
by employing efficient routing and spectrum allocation (RSA) algorithms. In order to improve …

Deep reinforcement learning-based RMSA policy distillation for elastic optical networks

B Tang, YC Huang, Y Xue, W Zhou - Mathematics, 2022 - mdpi.com
The reinforcement learning-based routing, modulation, and spectrum assignment has been
regarded as an emerging paradigm for resource allocation in the elastic optical networks …

Mobile network traffic analysis based on probability-informed machine learning approach

A Gorshenin, A Kozlovskaya, S Gorbunov… - Computer Networks, 2024 - Elsevier
The paper proposes an approach to the joint use of statistical and machine learning (ML)
models to solve the problems of the precise reconstruction of historical events, real-time …

A deep neural network with a fuzzy multi-objective optimization model for fault analysis in an elastic optical network

ALF Lourenço, AC César - Optical Switching and Networking, 2022 - Elsevier
The elastic optical network (EON) is the most attractive architecture for the next generation of
optical networks. Dealing with high bit-rate traffic, EON faces the challenge of ensuring …

Routing, modulation format, spatial lane, and spectrum block assignment in static spatial channel networks

X Yang, Y Zhou, Q Sun - Applied Sciences, 2023 - mdpi.com
Spatial channel networks (SCNs) and related key technologies have been proposed to
increase the capacity and flexibility of optical networks. We define the network resource …