Low-complexity probabilistic shaping based on bit-weighted distribution matching in DMT-WDM-PON

Area of Science:

• Optical Communications
• Signal Processing
• Network Engineering

Background:

• Discrete multi-tone wavelength division multiplexing passive optical networks (DMT-WDM-PONs) are crucial for high-speed data transmission.
• Probabilistic shaping (PS) enhances performance but existing methods have high computational complexity.
• Low-density parity-check-coded 16-ary quadrature amplitude modulation (16QAM) is employed in these networks.

Purpose of the Study:

• To introduce a novel probabilistic shaping (PS) scheme based on bit-weighted distribution matching (BWDM).
• To achieve Gaussian-like symbol probability distribution emulation with lower computational complexity.
• To improve the performance of DMT-WDM-PON systems.

Main Methods:

• Implemented a novel PS scheme using BWDM for DMT-WDM-PON with 16QAM.
• Utilized bit-weighted intervention, including weight bit labeling and bit reconstruction, for PS-16QAM generation.
• Focused on increasing the transmission probability of binary data '0'.

Main Results:

• Achieved Gaussian-like symbol probability distribution emulation through simple bit-class processing.
• Demonstrated significantly improved receiver power sensitivity compared to uniformly-distributed signals.
• Showcased enhanced system tolerance to optical fiber nonlinear effects.

Conclusions:

• The proposed BWDM-based PS scheme offers a practical solution for DMT-WDM-PON systems.
• The scheme provides lower computational complexity compared to arithmetic coding-class PS methods.
• Enlarged system power loss budget enables more available optical network units.