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Low complexity exponential pruning learned digital back-propagation method for fiber nonlinearity mitigation.
Optics Letters
|March 14, 2025
Summary
A novel exponential pruning method significantly reduces computational complexity in learned digital back-propagation for optical communications. This technique maintains performance while enabling higher data rates and longer transmission distances.
Area of Science:
- Optical Communications
- Digital Signal Processing
- Nonlinear Optics
Background:
- Learned digital back-propagation (LDBP) combats nonlinear fiber distortions limiting optical communication capacity.
- Computational complexity of LDBP increases with higher baud rates and longer transmission distances due to dispersion compensation.
Purpose of the Study:
- Propose a novel method, exponential pruning LDBP (EP-LDBP), to reduce LDBP's computational complexity.
- Evaluate EP-LDBP's effectiveness in mitigating nonlinear distortions without performance loss.
Main Methods:
- Developed EP-LDBP by pruning redundant LDBP taps using adjustable parameters.
- Implemented and tested EP-LDBP in a frequency-domain LDBP system.
- Conducted experiments on a 21-channel WDM system over 1600 km fiber with 60 Gbaud 16QAM signals.
Main Results:
- EP-LDBP achieved a 61.5% reduction in computational complexity compared to standard LDBP.
- No sacrifice in compensation performance was observed.
- Analysis confirmed EP-LDBP's effectiveness across varying baud rates (30-60 Gbaud) and distances (400-1600 km).
Conclusions:
- EP-LDBP offers a significant reduction in computational complexity for optical communication systems.
- The method is suitable for future high-capacity, long-haul optical networks.
- EP-LDBP effectively addresses the scalability challenges of LDBP in advanced communication systems.
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