DRL-Assisted Dynamic QoT-Aware Service Provisioning in Multi-Band Elastic Optical Networks
Paper in 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.
Deep reinforcement learning
Enhanced Gaussian Noise model
Optical networks
Quality of transmission
Author
Yiran Teng
University of Bristol
Carlos Natalino Da Silva
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Farhad Arpanaei
Universidad Carlos III de Madrid
Alfonso Sánchez-Macián
Universidad Carlos III de Madrid
Paolo Monti
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
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)
European Commission (EC) (EC/HE/101139133), 2024-01-01 -- 2028-12-31.
Areas of Advance
Information and Communication Technology
Subject Categories
Telecommunications
Communication Systems