Perturbation-based Sequence Selection for Probabilistic Amplitude Shaping
Mohammad Taha Askari, Lutz Lampe
TL;DR
A practical sign-dependent sequence selection metric for probabilistic amplitude shaping and a simple method to predict the gains in signal-to-noise ratio (SNR) for sequence selection are introduced.
Abstract
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.