SUPPLY-POWER-CONSTRAINED CABLE CAPACITY MAXIMIZATION USING DEEP NEURAL NETWORKS

We experimentally demonstrate a 19% capacity gain per Watt of electrical supply power in a 12-span link by eliminating gain flattening filters and optimizing the launch power profile using machine learning by deep neural networks in a massively parallel fiber context.