Deep reinforcement learning for proactive spectrum defragmentation in elastic optical networks

E Etezadi, C Natalino, R Diaz, A Lindgren… - Journal of Optical …, 2023 - opg.optica.org
The immense growth of Internet traffic calls for advanced techniques to enable the dynamic
operation of optical networks, efficient use of spectral resources, and automation. In this …

DeepDefrag: A deep reinforcement learning framework for spectrum defragmentation

E Etezadi, C Natalino, R Diaz… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Exponential growth of bandwidth demand, spurred by emerging network services with
diverse characteristics and stringent performance requirements, drives the need for dynamic …

Multi-step migration of optical connections to minimize disruption time in flex-grid networks

TK Nguyễn, RR Reyes, T Bauschert - Journal of Optical …, 2022 - opg.optica.org
Migration of optical connections in flex-grid networks has become increasingly necessary as
the arrivals and departures of optical connection requests are more dynamic. To mitigate …

Multi-step Migration of Optical Connections in Flex-grid Networks to Minimize Disruption Time

NT Khải, RR Reyes, T Bauschert - ICC 2022-IEEE International …, 2022 - ieeexplore.ieee.org
Reconfiguration of optical connections in flex-grid networks become increasingly necessary
as the arrivals and departures of optical connection requests are more dynamic. For …

Janela de Desfragmentação de Espectro em Redes SDM-EON

PJS Júnior, M Marotta, LR Costa… - Anais do XLI Simpósio …, 2023 - sol.sbc.org.br
A tecnologia de multiplexação por divisão de espaço (SDM) permite que a rede óptica
elástica se torne uma candidata promissora para futuras redes ópticas. A SDM-EON se …