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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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Probabilistic shaping and neural network-based optimization for a nonlinear frequency division multiplexing system.

Jiacheng Wei, Lixia Xi, Xulun Zhang

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    Summary
    This summary is machine-generated.

    This study introduces probabilistic shaping (PS) and a neural network (NN) equalizer to enhance nonlinear frequency division multiplexing (NFDM) systems. The combined approach optimizes performance across different power levels for better optical communication.

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    Area of Science:

    • Optical Communications
    • Signal Processing
    • Machine Learning

    Background:

    • Nonlinear frequency division multiplexing (NFDM) systems face performance limitations.
    • Optimizing modulation and detection is crucial for NFDM system efficiency.

    Purpose of the Study:

    • To propose and evaluate a joint scheme combining probabilistic shaping (PS) and a neural network (NN) equalizer for improved NFDM system performance.
    • To analyze the distinct roles of PS and NN equalizer under varying launch power conditions.

    Main Methods:

    • Implementation of a joint scheme with PS at the transmitter and an NN equalizer at the receiver.
    • Numerical simulations to assess system performance under different power regimes.

    Main Results:

    • Probabilistic shaping (PS) significantly enhances NFDM system performance in low launch power scenarios.
    • The neural network (NN) equalizer proves superior in high launch power regions by reducing subcarrier correlation.
    • The combined scheme demonstrates effective performance improvement across various power levels.

    Conclusions:

    • The proposed joint PS and NN equalizer scheme offers a viable strategy for optimizing NFDM systems.
    • Understanding the interplay between PS and NN equalizer is key to designing advanced modulation and detection techniques for NFDM.
    • This research provides insights into optimal modulation and detection schemes for future NFDM systems.