Assessment of a Latency-aware Routing and Spectrum Assignment Mechanism Based on Deep Reinforcement Learning

Abstract

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 DRL-based approaches.