A Python Implementation of the Multisection Model for Simulation of MDG-impaired SDM Channels

Space division multiplexing (SDM) is a promising solution to increase the capacity of current optical networks. However, the capacity increase provided by SDM is limited by mode-dependent gain (MDG) generated in amplifiers. To enable the study of MDG-impaired SDM transmission, analytical models can be employed to simulate SDM channels at different MDG levels. In this paper, we implement the analytical multisection model for strongly-coupled SDM transmission in Python language. Based on the implemented model, we validate the theoretical capacity distribution for two polarization modes and study the frequency diversity effect in SDM channels.