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Three-dimensional constellation probabilistic shaping scheme based on fine-grained data reconstruction.

Huili Ji, Jianxin Ren, Bo Liu

|November 11, 2025

Summary

This summary is machine-generated.

This study introduces a novel 3D constellation probabilistic shaping (PS) scheme using fine-grained data reconstruction (FGDR) to enhance optical communication systems. The FGDR-PS technique significantly boosts spectral efficiency and system capacity.

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Area of Science:

Optical Communications
Digital Signal Processing

Background:

Current optical communication systems face limitations in spectral efficiency and capacity.
Probabilistic Shaping (PS) and 3D Orthogonal Frequency Division Multiplexing (3D-OFDM) are advanced techniques for improving performance.

Purpose of the Study:

To propose and evaluate a novel three-dimensional (3D) constellation probabilistic shaping (PS) scheme integrated with fine-grained data reconstruction (FGDR).
To enhance spectral efficiency and capacity in optical communication systems by combining 3D-OFDM and PS.

Main Methods:

The proposed Fine-Grained Data Reconstruction-Probabilistic Shaping (FGDR-PS) technique adjusts bit proportions based on bitstream characteristics.
Experiments were conducted over a 25 km single-mode optical fiber link to assess performance at a consistent net rate.

Main Results:

The 3D-PS-32QAM-Scheme2 demonstrated significant performance gains.
Compared to 2D-PS-32QAM, it achieved a 1.9 dB improvement at a Bit Error Rate (BER) of 3.8 × 10^-3.
Further gains of 1.2 dB, 0.8 dB, and 0.5 dB were observed against other 3D schemes.

Conclusions:

The FGDR-PS scheme effectively improves spectral efficiency and capacity in 3D-OFDM systems.
This technique offers a promising approach for next-generation high-capacity optical networks.
The experimental validation confirms the practical benefits of the proposed 3D constellation shaping method.