Published September 1, 2021
| Version v1
Conference paper
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Assessment of a Latency-aware Routing and Spectrum Assignment Mechanism Based on Deep Reinforcement Learning
Authors/Creators
- 1. Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA)
Description
We present a solution based on deep reinforcement learning (DRL) that jointly addresses spectrum allocation and latency constraint in EONs. The results show that using a simple network representation, this strategy outperforms typical K-Shortest Path heuristic approach and previous DRLbased approaches.
Notes
The research leading to these results has received funding from MINECO Project AURORAS (RTI2018-099178) and Spanish Thematic Network Go2Edge (RED2018-102585-T).
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ECOC20211.pdf
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