Machine Learning-Driven Low-Complexity Optical Power Optimization for Point-to-Point Links

We propose a strategy to dynamically adjust transmitted power solely based on the analysis of performance fluctuations due to polarization-dependent loss. We show that our method converges faster to optimum compared to a standard approach.