OPTIMIZATION OF THE CAPACITY OF A COMMUNICATION FIBER LINE WITH NONLINEAR MEMORY
Channels with and without memory in the simplest Gaussian noise distribution model are compared. It is shown that both channels have similar dependences of the capacity on the average signal power. At the same time, the optimal input alphabet for the channel with memory changes. The applicability of the model with nonlinear memory to the QPSK communication line with a periodic dispersion compensation is demonstrated numerically.