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Reducing computation complexity by using elastic net regularization based pruned Volterra equalization in a 80 Gbps

Govind Sharan Yadav, Chun-Yen Chuang, Kai-Ming Feng

    Optics Express
    |December 31, 2020
    PubMed
    Summary
    This summary is machine-generated.

    We developed a new elastic net regularization-based pruned Volterra equalization (ENPVE) to cut computation complexity for high-speed optical signals. ENPVE significantly reduces complexity while maintaining system performance, outperforming existing methods.

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    Area of Science:

    • Optical communications
    • Signal processing
    • Machine learning applied to signal equalization

    Background:

    • High-speed optical signals require advanced equalization techniques like Volterra equalization (VE) for performance enhancement.
    • The high computational complexity of conventional VE hinders its practical implementation in physical systems.

    Purpose of the Study:

    • To propose and experimentally demonstrate an elastic net regularization-based pruned Volterra equalization (ENPVE) method.
    • To significantly reduce the computational complexity of Volterra equalization while preserving system performance.

    Main Methods:

    • A three-phase pruning strategy involving pre-training with an adaptive elastic net regularizer, pruning insignificant weights, and retraining the equalizer.
    • Experimental demonstration using an O-band 80-Gbps Pulse Amplitude Modulation with 4 levels (PAM4) signal transmitted over 40 km of single-mode fiber (SMF).

    Main Results:

    • The proposed ENPVE achieved a 97.4% complexity reduction compared to conventional VE.
    • A 20.2% complexity reduction was observed compared to L1 regularization-based Volterra equalizer (L1VE).
    • The ENPVE method maintained system performance at a received optical power of -4 dBm.

    Conclusions:

    • ENPVE offers a computationally efficient solution for high-speed optical signal equalization.
    • The elastic net regularization effectively prunes redundant coefficients, leading to substantial complexity reduction without performance degradation.
    • This method enables more practical physical implementations of advanced equalization techniques in optical communication systems.