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    This study introduces an optimized digital predistorter (DPD) for radio-over-fiber LTE mobile fronthaul. The genetic algorithm-optimized CPWL model significantly improves link linearity, outperforming standard methods.

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    Area of Science:

    • Electrical Engineering
    • Optical Communications
    • Signal Processing

    Background:

    • Radio-over-fiber (RoF) systems are crucial for mobile fronthaul, but linearity issues in intensity modulation/direct detection (IM/DD) links degrade performance.
    • Existing digital predistorter (DPD) techniques, like the classical memory polynomial DPD, have limitations in addressing these linearity impairments.
    • Canonical piece-wise-linear (CPWL) models offer a potential solution but require optimization for maximum effectiveness.

    Purpose of the Study:

    • To propose and evaluate an optimized CPWL digital predistorter (GA-CPWL) for enhancing the linearity of RoF LTE mobile fronthaul systems.
    • To compare the performance of the proposed GA-CPWL predistorter against the standard CPWL model and the classical memory polynomial DPD.
    • To demonstrate the effectiveness of the GA-CPWL predistorter under various optical transmission conditions.

    Main Methods:

    • Development of a novel threshold allocation optimization process using a genetic algorithm (GA) to create the GA-CPWL model.
    • Experimental setup of an intensity modulation/direct detection (IM/DD) RoF link to test the DPD techniques.
    • Comparative performance analysis of GA-CPWL, CPWL, and memory polynomial DPD under different optical transmission scenarios.

    Main Results:

    • The CPWL model demonstrated superior performance compared to the classical memory polynomial DPD in the IM/DD RoF link.
    • The GA-CPWL predistorter consistently outperformed the standard CPWL model across various tested optical transmission conditions.
    • Optimal threshold allocation within the GA-CPWL model was shown to yield highly promising results for linearity enhancement.

    Conclusions:

    • The proposed GA-CPWL digital predistorter offers a significant advancement in improving the linearity of RoF LTE mobile fronthaul.
    • Genetic algorithm-based optimization provides an effective method for enhancing CPWL model performance in optical communication links.
    • The GA-CPWL approach presents a promising solution for achieving higher performance and reliability in future mobile fronthaul networks.