Abstract: We present a solution based on deep reinforcement learning (DRL) that jointly addresses spectrum allocation and latency constraint in EONs.

This work presents an approach for RSA in EONs leveraging the advantages of deep reinforcement learning (DRL) solutions.

The attained performance improvements highlight the potential benefits brought by using DRL mechanisms and its feasible integration within production EON ...

This paper proposes MAGC-RSA, a Multi-Agent Graph Convolutional Reinforcement Learning approach, to solve the Routing and Spectrum Assignment (RSA) problem in a ...

, “Assessment of a latency-aware routing and spectrum assignment mechanism based on deep reinforcement learning,” in 2021 European Conference on Optical ...

Experimental evaluation of a latency-aware routing and spectrum assignment mechanism based on deep reinforcement learning. C. Hernández-Chulde, R. Casellas ...

Assessment of a latency-aware routing and spectrum assignment mechanism based on deep reinforcement learning. C Hernández-Chulde, R Casellas, R Martínez, R ...

2024/06/21 · This article provides a methodology and open-source implementation of Reinforcement Learning algorithms for finding optimal routes in a packet-optical network ...

2022/08/01 · Experimental evaluation of a latency-aware routing and spectrum assignment mechanism based on deep reinforcement learning · Hybrid routing and ...

Routing and spectrum assignment ... Experimental evaluation of a latency-aware routing and spectrum assignment mechanism based on deep reinforcement learning.