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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
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One-bit quantization delta-sigma modulation-based autoencoder for power-efficient free-space communication.

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    Summary
    This summary is machine-generated.

    A novel 1-bit autoencoder with delta-sigma modulation (DSM-based AE) improves signal transmission, especially in noisy conditions. This technology enhances data rates and reduces power consumption for future mobile networks.

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    Area of Science:

    • Optical Communications
    • Signal Processing
    • Information Theory

    Background:

    • Efficient data encoding and decoding are crucial for high-performance communication systems.
    • Existing methods face challenges in noisy environments and high power consumption.
    • Mobile fronthaul links require robust and power-efficient solutions.

    Purpose of the Study:

    • To introduce a novel delta-sigma modulation (DSM)-based 1-bit autoencoder (AE) for efficient signal processing.
    • To evaluate the performance of the DSM-based AE under various channel conditions, particularly low signal-to-noise ratios (SNRs).
    • To demonstrate the potential of this approach for future mobile fronthaul applications.

    Main Methods:

    • Development of a 1-bit autoencoder (AE) integrated with delta-sigma modulation (DSM).
    • Simulation analysis to assess noise mitigation, peak-to-average power ratio (PAPR) reduction, and in-band signal power enhancement.
    • Experimental validation using a 40-m free-space optical link.

    Main Results:

    • The DSM-based AE achieves theoretical transmission performance at SNRs below 6 dB.
    • Demonstrated a significant reduction in bit error rate (BER) by 8.4 dB compared to 64QAM-DSM in a free-space experiment.
    • Enabled a transmission rate of 1.31 Gbps with enhanced signal quality.

    Conclusions:

    • The 1-bit AE-DSM effectively mitigates noise and nonlinear effects, improving signal integrity.
    • It offers substantial power savings in the receiving analog-to-digital converter (ADC).
    • The DSM-based AE presents a promising solution for enhancing future mobile fronthaul links.