Impairment-and fragmentation-aware, energy-efficient dynamic RMSCA for SDM-EONs

JL Ravipudi, M Brandt-Pearce - Journal of Optical Communications …, 2023 - opg.optica.org
This paper presents a routing, modulation, spectrum, and core allocation (RMSCA)
algorithm for space-division multiplexing-based elastic optical networks (SDM-EONs). A …

Deep-reinforcement-learning-based RMSCA for space division multiplexing networks with multi-core fibers [Invited Tutorial]

Y Teng, C Natalino, H Li, R Yang, J Majeed… - Journal of Optical …, 2024 - opg.optica.org
The escalating demands for network capacities catalyze the adoption of space division
multiplexing (SDM) technologies. With continuous advances in multi-core fiber (MCF) …

Analytical Modelling of Groups of Links in Elastic Optical Networks

M Głąbowski, M Sobieraj, M Stasiak - IEEE Access, 2024 - ieeexplore.ieee.org
This paper proposes an analytical method to determine the occupancy distribution in a
group of links of elastic optical networks that service multiservice traffic streams. The method …

Channel allocation and spectrum use in optical networks using machine learning a 5G application analysis

Z Sun - Optical and Quantum Electronics, 2023 - Springer
Allocating and routing resources in optical networks is a critical process that has a major
bearing on the efficiency and scalability of the network's resources. There has been a lot of …

DRL-based RMSCA for SDM networks with core switching in multi-core fibres

Y Teng, R Yang, C Natalino, S Shen… - … on Photonics in …, 2023 - ieeexplore.ieee.org
We designed a DRL-based routing, modulation, spectrum, and core assignment algorithm to
fully exploit the core switching capabilities of space division multiplexing networks with multi …

Deep Reinforcement Learning for Resource Allocation in Multi-Band Optical Networks

AB Terki, J Pedro, A Eira, A Napoli… - … Conference on Optical …, 2024 - ieeexplore.ieee.org
Routing and Spectrum Assignment (RSA) is key to an efficient resource usage in optical
networks. Although this problem is known to be complex, an even more complex version …

Performance of Dynamic Multicore Elastic Optical Networks: Heuristics vs Artificial Intelligence

J Pinto-Ríos, A Leiva, G Saavedra… - 2023 IEEE CHILEAN …, 2023 - ieeexplore.ieee.org
This article presents an initial comparative performance study between a Deep
Reinforcement Learning (DRL) agent and baseline heuristic within the context of different …

Routing and Spectrum Assignment Based on Reinforcement Learning in Multi-Band Optical Networks

AB Terki, J Pedro, A Eira, A Napoli… - … on Photonics in …, 2023 - ieeexplore.ieee.org
A routing and spectrum assignment strategy based on Reinforcement Learning (RL-RSA) is
proposed for multi-band optical networks. RL-RSA accounts for Stimulated Raman …

Inter-Core Crosstalk Aware Deep Reinforcement Learning Based Resource Allocation in Multicore Elastic Optical Networks

C Li, YC Huang, L Mu - 2023 Asia Communications and …, 2023 - ieeexplore.ieee.org
We present a deep reinforcement learning (DRL) framework for the routing, modulation, core
selection, and spectrum allocation (RMCSA) of the multicore elastic optical networks …

Aplicación de Reinforcement Learning para los problemas de Survivable-Routing, Modulation Level and Spectrum Assigment

JI Núñez Kasaneva - 2022 - repositorio.udec.cl
En el presente documento se propone una solución para el problema de sobrevivencia,
enrutamiento, modulación y asignación de recursos (S-RMLSA) dentro de las redes ópticas …