A Probabilistic Shaping Approach for Optical Region-of-Interest Signaling

TL;DR

This paper introduces a probabilistic shaping method for optical region-of-interest signaling that enhances spectral efficiency and minimizes run-length in polar codes, supporting soft-decision decoding.

Contribution

It presents a novel probabilistic shaping approach combined with run-length-aware frozen bits in polar codes, improving spectral efficiency without run-length-limited coding.

Findings

Supports soft-decision FEC decoding

Achieves better spectral efficiency

Reduces run-length without additional coding

Abstract

We propose a probabilistic shaping approach for region-of-interest signaling, where a low-rate signal controls the desired probabilistic ranges of a high-rate data stream using a flexible distribution controller. In addition, we introduce run-length-aware values for frozen bit indices in systematic polar code to minimize the run-length without using run-length-limited code. Our compact system can support soft-decision forward-error-correction decoding with excellent spectral efficiency compared with related work based on hybrid modulation schemes.