Neural Probabilistic Amplitude Shaping for Nonlinear Fiber Channels
arXiv:2602.02716
Abstract
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 selection for dual-polarized 64-QAM transmission across a single-span 205 km link.
3 pages, 2 figures, Submitted to Optical Fiber Communication Conference (OFC) 2026