Innovative transceiver and switching approaches should be explored with special focus on
flexibility, energy efficiency, sustainability, and interoperability to be adopted on next …

Towards Explainable Reinforcement Learning in Optical Networks: The RMSA Use Case
Page 1 Towards Explainable Reinforcement Learning in Optical Networks: The RMSA Use …

Abstract In Optical Network-on-Chip (ONoC), both routing and wavelength assignment
(RWA) have an impact on the Optical Signal-to-Noise Ratio (OSNR), which further influence …

The application of reinforcement learning (RL) to dynamic resource allocation in optical
networks has been the focus of intense research activity in recent years, with almost 100 …

Topology Bench is a comprehensive topology dataset designed to accelerate benchmarking
studies in optical networks. The dataset, focusing on core optical networks, comprises …

Capacity-Bound Evaluation and Routing and Spectrum Assignment for Elastic Optical Path
Networks with Distance-Adaptive Modulatio Page 1 Capacity-Bound Evaluation and …

Achieving a sustainable network, striking a balance between transport capacity and power
consumption reduction, is nowadays a critical challenge of paramount importance. In Elastic …

This paper addresses the rapidly evolving and expanding needs of network traffic with new
methods, most notably Reinforcement Learning (RL). The RL has shown significant potential …

Network survivability is a major and critical con-cern in the design and operation of
Wavelength Division Multi-plexing (WDM) networks. The vulnerability of these networks to …

Este trabalho apresenta uma avaliação de agentes de aprendizagem profunda, utilizados
em problemas de roteamento e alocação espectral em redes ópticas elásticas multibandas …