Published March 28, 2022
| Version v1
Conference paper
Open
Latency-Aware Routing and Spectrum Assignment with Deep Reinforcement Learning
Authors/Creators
- 1. Centro Tecnológico de Telecomunicaciones de Cataluña (CTTC)
Description
This paper evaluates different aspects of the performance of a solution for routing and spectrum allocation in elastic optical networks. The evaluation includes the experimentation under different traffic loads and the use of a previously trained deep reinforcement learning (DRL) agent. The obtained results show that the DRL agent further outperforms a traditional algorithm as network resources become scarce. Moreover, the results show the proper operation of the pre-Trained agent when provisioning lightpaths. © 2022 IEEE.
Notes
The research leading to these results has received funding from the European Union's Horizon 2020 research and innovation programme, B5G-OPEN Project, grant agreement No. 101016663, Spanish Thematic Network Go2Edge (RED2018-102585-T), FPI scholarship PRE2019-091447, and AURORAS grant RTI2018-099178-B-I00 funded by MCIN/AEI/ 10.13039/501100011033 and by ERDF A way of making Europe.
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