Optimization Method for Unrepeatered Optical System Employing Probabilistic Shaping

We evaluate the design of an unrepeatered optical system based on the simultaneous optimization of its transmission, reception, and amplification parameters by a neural network algorithm (NNA), aiming at maximizing the achieved mutual information (MI). After transmission system design, the probabilistic shaping (PS) method applying the Maxwell-Boltzmann (MB) and supergaussian (SG) distributions is also optimized by an NNA considering MI as the objective function. Non-uniform constellations achieved transmission rates slightly higher than the uniform case. The minor gains observed for the MB and SG distributions suggest that their implementation may not be advantageous in the investigated case study.