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Three-dimensional constellation design based on centroid-corrected geometric shaping with optimized average Hamming
Optics Express
|August 13, 2025
Summary
A new three-dimensional (3D) constellation design improves optical communication by optimizing geometric shaping and average Hamming distance. This novel approach enhances bit error rate performance for short-distance systems.
Area of Science:
- Optical Communications
- Digital Signal Processing
- Information Theory
Background:
- Traditional constellation designs in optical communication systems face limitations in spectral efficiency and error performance.
- Optimizing constellation geometry and bit-to-symbol mapping is crucial for improving data transmission reliability.
Purpose of the Study:
- To propose a novel three-dimensional (3D) constellation design, 3D-CCGS-OAHD, for enhanced optical communication performance.
- To improve the constellation figure of merit (CFM) and bit error rate (BER) through optimized geometric shaping and average Hamming distance (AHD).
Main Methods:
- Utilized centroid-corrected geometric shaping (CCGS) to optimize constellation point distribution and ensure balanced geometry.
- Employed a simulated annealing (SA) algorithm to minimize AHD and explore superior bit-to-symbol mapping strategies beyond Gray mapping.
- Demonstrated the 3D-CCGS-OAHD scheme over a 2 km 7-core fiber link.
Main Results:
- The 3D-CCGS constellation achieved a sensitivity gain of 0.84 dB over traditional 3D constellations with Gray mapping.
- The 3D-CCGS-OAHD scheme provided a further gain of 1.29 dB compared to traditional 3D constellations.
- Experimental results validated the effectiveness of the proposed scheme in improving BER performance.
Conclusions:
- The proposed 3D-CCGS-OAHD constellation design offers significant performance improvements for short-distance optical communication systems.
- The novel approach demonstrates promising prospects for future research in high-performance optical data transmission.
- The combination of CCGS and OAHD effectively enhances constellation efficiency and data integrity.
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