DRL-Assisted Dynamic QoT-Aware Service Provisioning in Multi-Band Elastic Optical Networks
Paper i proceeding, 2024
We propose a DRL-assisted approach for service provisioning in multi-band elastic optical networks. Our simulation environment uses an accurate QoT estimator based on the GN/EGN model. Results show that the proposed approach reduces request blocking by 50\% compared with heuristics from the literature.
Enhanced Gaussian Noise model
Deep reinforcement learning
Optical networks
Quality of transmission
Författare
Yiran Teng
University of Bristol
Carlos Natalino Da Silva
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Farhad Arpanaei
Universidad Carlos III de Madrid
Alfonso Sánchez-Macián
Universidad Carlos III de Madrid
Paolo Monti
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Shuangyi Yan
University of Bristol
Dimitra Simeonidou
University of Bristol
2024 50th European Conference on Optical Communications, ECOC 2024
50th European Conference on Optical Communications, ECOC 2024
Frankfurt, Germany,
Frankfurt, Germany,
Efficient Confluent Edge Networks (ECO-eNET)
Europeiska kommissionen (EU) (EC/HE/101139133), 2024-01-01 -- 2028-12-31.
Styrkeområden
Informations- och kommunikationsteknik
Ämneskategorier
Telekommunikation
Kommunikationssystem