Neural Probabilistic Amplitude Shaping for Nonlinear Fiber Channels
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 0 of its 1 references that are in the map. First posted on arXiv 2 Feb 2026.
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