Neural Probabilistic Amplitude Shaping for Nonlinear Fiber Channels
We introduce neural probabilistic amplitude shaping, a joint-distribution learning framework for coherent fiber systems. The proposed scheme provides a 0.5 dB signal-to-noise ratio gain over sequence