# Perturbation-based Sequence Selection for Probabilistic Amplitude Shaping

arXiv: https://arxiv.org/abs/2407.09006 · HTML: https://mlsanity.com/paper/2407.09006/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Jul 2024.

## Built on by (most cited first, 2 of 2)

- [Neural Probabilistic Shaping: Joint Distribution Learning for Optical Fiber Communications](https://mlsanity.com/paper/2507.16012/) (2025)
- [Sequential Neural Probabilistic Amplitude Shaping: Learning the Channel's Language](https://mlsanity.com/paper/2605.28143/) (2026)

## Abstract (arXiv)

We introduce a practical sign-dependent sequence selection metric for probabilistic amplitude shaping and propose a simple method to predict the gains in signal-to-noise ratio (SNR) for sequence selection. The proposed metric provides a 0.5 dB SNR gain for single-polarized 256-QAM transmission over a long-haul fiber link.