Blocking-Driven Spectrum Defragmentation Based on Deep Reinforcement Learning in Tidal Elastic Optical Networks

We propose a tidal-aware spectrum defragmentation using deep reinforcement learning in elastic optical networks with tidal traffic, which balances reconfiguration times and blocking performance. Simulation results verify the 7% reduction of blocking rate.