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Polarization-interleave-multiplexed discrete multi-tone modulation with direct detection utilizing MIMO equalization.

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    This study introduces a new polarization-interleaved discrete multi-tone (PIM-DMT-DD) system for direct detection. It optimizes performance for short-reach applications, improving bandwidth and signal-to-noise ratio.

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    Area of Science:

    • Optical Communications
    • Signal Processing
    • Modulation Techniques

    Background:

    • Discrete multi-tone (DMT) modulation offers efficient bandwidth and signal-to-noise ratio (SNR) utilization for short-reach applications.
    • Realizing polarization-multiplexed DMT with direct detection presents challenges in signal processing and performance optimization.

    Purpose of the Study:

    • To derive an analytical transmission model for dual-polarization intensity modulation and direct detection (IM-DD).
    • To propose and investigate a novel polarization-interleave-multiplexed DMT with direct detection (PIM-DMT-DD) transmission system.

    Main Methods:

    • Development of an analytical transmission model for dual polarizations in IM-DD systems.
    • Proposal of a PIM-DMT-DD system utilizing a multiple-input-multiple-output (MIMO) equalizer for polarization demultiplexing.
    • Optimization of transmission performance across two distinct received polarization states to address MIMO singularity issues.

    Main Results:

    • The derived model provides a theoretical basis for PIM-DMT-DD systems.
    • The proposed PIM-DMT-DD system demonstrates effective polarization demultiplexing using a simple MIMO equalizer.
    • Performance optimization over distinct polarization states successfully mitigates MIMO demultiplexing singularity.

    Conclusions:

    • The PIM-DMT-DD system is a feasible and effective solution for polarization-multiplexed DMT with direct detection.
    • The proposed system enhances the utilization of channel bandwidth and SNR in short-reach optical communications.
    • Theoretical analysis and simulations validate the effectiveness of the PIM-DMT-DD approach.