Optical amplifiers exhibit wavelength dependent gain resulting in power excursion. We present gain equalization techniques not suitable for flexible optical networks and focus on machine learning as an alternative solution to solve the problem.

No abstract

In this paper, we present the strategy we have adopted to reduce the adding or dropping channel blocking probability using reinforcement learning in comparison with other methods. We demonstrate 27 % reduction with 40 % channel load.