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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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Optical continuous pulse position modulation-based analog RoF via frequency-domain position estimation.

Yicheng Xu, Yixiao Zhu, Mengfan Fu

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    This study introduces optical continuous pulse position modulation-based analog radio-over-fiber (OCPPM-RoF) to improve mobile fronthaul performance. The OCPPM-RoF scheme enhances signal-to-noise ratio, enabling high-order modulation formats for future fronthaul networks.

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    Area of Science:

    • Optical communications
    • Wireless networks
    • Signal processing

    Background:

    • Analog radio-over-fiber (A-RoF) offers high spectral efficiency and low complexity for mobile fronthaul.
    • Fiber link fidelity typically limits A-RoF performance.
    • Advanced modulation schemes are needed to overcome these limitations.

    Purpose of the Study:

    • To propose and demonstrate a novel OCPPM-RoF scheme for enhanced mobile fronthaul.
    • To decouple additive noise and improve signal fidelity in A-RoF systems.
    • To enable flexible signal-to-noise ratio adjustment for various modulation formats.

    Main Methods:

    • Amplitude mapping of wireless waveforms to optical pulse positions in the OCPPM-RoF scheme.
    • Implementation of a frequency-domain continuous position estimation (FD-CPE) algorithm for signal demodulation.
    • Experimental validation using cross-power spectrum calculation and weighted least square for delay estimation.

    Main Results:

    • The OCPPM-RoF scheme successfully decouples additive noise, enhancing signal quality.
    • Recovered signal-to-noise ratio (SNR) was flexibly adjusted between 31.8 and 54.0 dB.
    • Supported transmission of high-order modulation formats, including 256-QAM to 65536-QAM.

    Conclusions:

    • OCPPM-RoF presents a promising solution for future mobile fronthaul systems.
    • The proposed scheme effectively addresses the limitations of traditional A-RoF.
    • Flexible SNR adjustment and support for high-order QAM formats highlight its potential.