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Updated: May 22, 2025

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements
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Low complexity exponential pruning learned digital back-propagation method for fiber nonlinearity mitigation.

Lyu Li, Zekun Niu, Hang Yang

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    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.

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    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.