Mask RSA: End-To-End Reinforcement Learning-based Routing and Spectrum Assignment in Elastic Optical Networks
Masayuki Shimoda, Takafumi Tanaka
Abstract
We propose Mask RSA, an end-to-end deep reinforcement learning-based routing and spectrum assignment for elastic optical networks. Mask RSA masks unassignable choices, and decides routing and spectrum assignment concurrently for higher performance. Mask RSA outperforms KSP-FF under various traffic loads in small and large networks.
Topics & Concepts
Reinforcement learningRouting (electronic design automation)Computer scienceEnd-to-end principleReinforcementSpectrum (functional analysis)Computer networkFrequency allocationArtificial intelligenceEngineeringStructural engineeringPhysicsQuantum mechanicsAdvanced Optical Network TechnologiesOptical Network TechnologiesAdvanced Photonic Communication Systems