Probabilistic shaping and forward error correction scheme employing uneven segmentation mapping for data center...

Area of Science:

• Optical communication systems
• Digital signal processing

Background:

• Probabilistic shaping (PS) and forward error correction (FEC) are crucial for enhancing transmission system performance.
• Integrating PS and FEC technologies offers significant potential for boosting data transmission efficiency.

Purpose of the Study:

• To propose a novel probabilistic shaping distribution matching algorithm with low computational complexity for data center optical networks.
• To develop an integrated scheme of PS and FEC coding that removes limitations on FEC usage and enhances interleaver application.

Main Methods:

• Developed a probabilistic shaping distribution matching algorithm using uneven segmentation.
• Integrated the proposed PS algorithm with FEC coding, including an interleaver.
• Conducted experimental evaluation over 25 km of standard single-mode fiber (SSMF) using 16 quadrature amplitude modulation (16-QAM).
• Utilized simulation software for high-resolution bit error rate (BER) analysis.

Main Results:

• The proposed probabilistic shaping distribution matching algorithm demonstrated extremely low computational complexity for encoding and decoding.
• The integrated PS and FEC scheme successfully transmitted data over 25 km SSMF with 16-QAM.
• The joint coding scheme achieved a 0.4dB performance improvement compared to systems using only FEC.

Conclusions:

• The novel integrated PS and FEC scheme effectively enhances data center optical network performance.
• The proposed algorithm offers a practical solution for improving optical transmission efficiency with reduced complexity.
• This work paves the way for more efficient and robust optical communication systems.