Metropolitan optical networks: A survey on single-layer architectures

LS de Sousa, AC Drummond - Optical Switching and Networking, 2023 - Elsevier
Metropolitan optical networks are undergoing significant transformations to continue being
able to provide services that meet the requirements of the applications of the future. The …

Deep learning-based dynamic bandwidth allocation for future optical access networks

JA Hatem, AR Dhaini, S Elbassuoni - IEEE Access, 2019 - ieeexplore.ieee.org
Over the last decade, Passive Optical Networks (PONs) have emerged as an ideal
candidate for next-generation broadband access networks. Meanwhile, machine learning …

Gradual migration of co-existing fixed/flexible optical networks for cloud-fog computing

R Zhu, S Li, P Wang, Y Tan, J Yuan - IEEE Access, 2020 - ieeexplore.ieee.org
Fog computing emerges as a great candidate to mitigate the unsolved problems of cloud
computing. Data migration between fog nodes and datacenters is placing huge bandwidth …

Routing and spectrum assignment: A metaheuristic for hybrid ordering selection in elastic optical networks

HA Dinarte, BVA Correia, DAR Chaves… - Computer Networks, 2021 - Elsevier
Routing and spectrum assignment (RSA) problem, in elastic optical networks, searches for a
route and a sufficient spectrum range to fit each network request. Solving these two …

Routing core and spectrum allocation algorithm for inter-core crosstalk and energy efficiency in space division multiplexing elastic optical networks

H Liu, Q Xiong, Y Chen - IEEE Access, 2020 - ieeexplore.ieee.org
Elastic optical networks (EONs) and space-division multiplexing (SDM) have emerged as a
promising technology to accommodate the high-capacity and dynamic bandwidth demands …

Pareto-Optimal Multi-Agent Cooperative Caching Relying on Multi-Policy Reinforcement Learning

B Guo, Y Chen, P Cheng, M Ding, J Hu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Given the popularity of flawless telepresence and the resultants explosive growth of wireless
video applications, besides handling the traffic surge, satisfying the demanding user …

[HTML][HTML] Resource management in 5G networks assisted by UAV base stations: Machine learning for overloaded Macrocell prediction based on users' temporal and …

RD Alfaia, AVF Souto, EHS Cardoso, JPL Araújo… - Drones, 2022 - mdpi.com
The rapid growth of data traffic due to the demands of new services and applications poses
new challenges to the wireless network. Unmanned aerial vehicles (UAVs) can be a solution …

Service function path provisioning with topology aggregation in multi-domain optical networks

B Yan, Y Zhao, X Yu, Y Li, S Rahman… - IEEE/ACM …, 2020 - ieeexplore.ieee.org
Traffic flows are often processed by a chain of Service Functions (SFs)(known as Service
Function Chaining (SFC)) to satisfy service requirements. The deployed path for a SFC is …

DRL-assisted reoptimization of network slice embedding on EON-enabled transport networks

SS Johari, S Taeb, N Shahriar… - … on Network and …, 2023 - ieeexplore.ieee.org
5G transport networks will support dynamic services with diverse requirements through
network slicing. Elastic Optical Networks (EONs) facilitate transport network slicing by …

Service restoration in multi-modal optical transport networks with reinforcement learning

Z Zhao, Y Zhao, Y Li, F Wang, X Li, D Han, J Zhang - Optics Express, 2021 - opg.optica.org
Optical transport networks (OTNs), while increasingly popular, can be affected in ways that
are challenging to restore efficiently. This study investigates the problem of service …