Neural Probabilistic Amplitude Shaping for Nonlinear Fiber Channels

Published 2 Feb 2026 in cs.LG and eess.SP | (2602.02716v1)

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.

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