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Related Experiment Video

Updated: Sep 13, 2025

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

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Memory-efficient MLSE with pre-decision-driven pruning and metric sharing for bandwidth-constrained baud-rate

Chenchen Wang, Zhipei Li, Ze Dong

    Optics Express
    |July 30, 2025
    PubMed
    Summary

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    We developed a new algorithm, memory-efficient MLSE with pre-decision-driven pruning and metric sharing (MEPS-MLSE), to improve power efficiency in data center optical interconnects. This method significantly reduces computational complexity for Faster-than-Nyquist signaling.

    Area of Science:

    • Optical Communications
    • Signal Processing
    • Data Center Technology

    Background:

    • Increasing intra-data center traffic demands high-capacity, low-latency, and power-efficient optical interconnects.
    • Faster-than-Nyquist (FTN) signaling offers power efficiency but faces computational challenges with Maximum Likelihood Sequence Estimation (MLSE).

    Purpose of the Study:

    • To introduce a hardware-efficient algorithm, MEPS-MLSE, that reduces the computational complexity of MLSE for FTN signaling.
    • To enhance the computational efficiency of optical interconnects for power-sensitive data centers.

    Main Methods:

    • Developed MEPS-MLSE, integrating state memory optimization, pre-decision region partitioning-based state pruning, and branch metric (BM) space sharing.
    • Implemented a three-dimensional optimization framework for synergistic computational enhancement.

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    Related Experiment Videos

    Last Updated: Sep 13, 2025

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  • Validated the algorithm in a 40 GHz bandwidth-constrained FTN-16QAM system.

    • Main Results:

    • Achieved a 94.06% reduction in computational complexity compared to conventional MLSE.
    • Demonstrated negligible performance degradation.
    • Validated performance across 80/90/100 Gbaud rates and 10-40 km fiber transmission.

    Conclusions:

    • MEPS-MLSE provides a robust and effective solution for power-efficient optical interconnects in data centers.
    • The algorithm addresses the escalating scalability and energy demands of next-generation data center networks.