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Quasi-light Storage for Optical Data Packets
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Reservoir computing for equalization in a self-coherent receiver scheme.

Aimen Zelaci, Sarah Masaad, Peter Bienstman

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    Summary
    This summary is machine-generated.

    Photonic reservoirs combined with self-coherent receivers offer a low-cost, low-power solution for high-speed optical networks. This approach achieves a 3.8 × 10-3 BER for 32 Gbaud 16-QAM signals over 80 km.

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    Area of Science:

    • Optical communications
    • Data center networking
    • Signal processing

    Background:

    • Short-reach optical networks require high data rates at low cost and energy consumption.
    • Coherent receivers, while supporting high data rates, are complex, costly, and power-intensive due to digital signal processing.
    • Photonic reservoirs offer analog optical domain signal processing to reduce power and latency.

    Purpose of the Study:

    • To investigate the performance of a photonic reservoir combined with a self-coherent photonic receiver.
    • To evaluate the feasibility of this integrated system for high-speed short-reach optical communication.

    Main Methods:

    • Simulations were conducted to assess the performance of the proposed system.
    • A photonic reservoir was integrated with a self-coherent photonic receiver.
    • The system's performance was evaluated using a 32 Gbaud 16-QAM signal over an 80 km link.

    Main Results:

    • The combined system achieved a Bit Error Rate (BER) of 3.8 × 10-3.
    • The system operated with a low Constellation Shaping Power Ratio (CSPR) of 3 dB.
    • This performance was achieved without the high power consumption and latency of traditional digital signal processing.

    Conclusions:

    • Photonic reservoirs integrated with self-coherent receivers present a promising solution for energy-efficient, high-performance optical networks.
    • This approach significantly reduces complexity and cost compared to state-of-the-art coherent receivers.
    • The demonstrated low BER and CSPR highlight the potential for practical implementation in data centers.