Abstract
Routing and spectrum assignment strategies exploiting Reinforcement Learning are investigated for multi-band optical networks. Generalized Signal to Noise Ratio accounting for Stimulated Raman Scattering is estimated driving modulation format selection. Simulations show that RL may reduce the blocking probability by one order of magnitude.
© 2022 The Author(s)
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