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Receiver bandwidth effects on complex modulation and detection using directly modulated lasers.

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    Complex modulated directly modulated lasers (DMLs) offer enhanced signal quality but risk spectrum broadening. This study shows DML-based systems tolerate reduced receiver bandwidth, enabling cost-effective, high-performance optical communications.

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    Area of Science:

    • Optical communications
    • Photonics
    • Laser technology

    Background:

    • Directly modulated lasers (DMLs) are cost-effective for short-to-medium reach optical links.
    • Complex modulation schemes enhance signal-to-noise ratio (SNR) sensitivity in DMLs.
    • Chirp-induced spectral broadening in complex modulation may necessitate high-bandwidth receivers.

    Purpose of the Study:

    • To investigate the impact of receiver bandwidth on complex modulation and coherent detection systems using DMLs.
    • To determine the feasibility of using narrow-bandwidth receivers in these systems.
    • To assess the performance trade-offs associated with reduced receiver bandwidth.

    Main Methods:

    • Experimental demonstration of complex modulation and coherent detection with DMLs.
    • System performance evaluation under varying electrical receiver bandwidth conditions.
    • Analysis of 10 Gbaud 4-level pulse amplitude modulation (4-PAM) signal performance.

    Main Results:

    • Complex modulated DML systems show tolerance to reduced receiver bandwidth.
    • Required electrical bandwidths of 8.5 GHz and 7.5 GHz were achieved for 7% and 20% forward error correction (FEC), respectively.
    • Performance degradation was minimal even with narrowed bandwidths.

    Conclusions:

    • DML-based complex modulation systems can effectively utilize cost-effective, narrow-bandwidth receivers.
    • The findings support the practical implementation of advanced modulation techniques in low-cost optical transceivers.
    • Reduced receiver bandwidth does not significantly compromise the performance benefits of complex modulation in DML systems.