Self-Pulsing Microring Resonator Networks for Bandwidth-Efficient Event Detection in an Optical Fiber Sensor
Abstract
The native processing of time-dependent signals from optical sensors by integrated photonic circuits can potentially bring significant advantages in terms of energy consumption, latency and processing power, as it allows skipping or reducing the use of fast digital electronics and directly exploiting optical degrees of freedom and parallelism. However, due to a short memory, optical operations usually struggle to directly process optical signals with relatively slow (<MHz) dynamics from optical sensors. In this work, we experimentally show that these limitations can be overcome by exploiting the self-pulsing dynamics in a microring resonator (MRR) network. In particular, we demonstrate that such dynamics can expand and retain information about perturbations sensed by a fiber sensor. This reduces the minimum sampling rate for the digitization of the sensor signal by at least one order of magnitude. The reduction is achieved by combining fiber sensing measurements at two different perturbation locations and frequencies with MRR network measurements at multiple output ports, input power levels and laser wavelengths. This work represents a first step in bridging time-dependent optical processing and optical sensing at sub-μs time scales.
Versions
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BibTeX
@misc{lugnan2026selfpulsing,
title = {{Self-Pulsing Microring Resonator Networks for Bandwidth-Efficient Event Detection in an Optical Fiber Sensor}},
author = {Alessio Lugnan and Yonas Seifu Muanenda and Ilya Auslender and Stefano Biasi and Claudio J. Oton and Fabrizio Di Pasquale and Lorenzo Pavesi},
howpublished = {arXiv},
year = {2026},
month = jun,
doi = {10.48550/arxiv.2606.11940},
eprint = {2606.11940},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2606.11940},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Self-Pulsing Microring Resonator Networks for Bandwidth-Efficient Event Detection in an Optical Fiber Sensor
AU - Alessio Lugnan
AU - Yonas Seifu Muanenda
AU - Ilya Auslender
AU - Stefano Biasi
AU - Claudio J. Oton
AU - Fabrizio Di Pasquale
AU - Lorenzo Pavesi
PY - 2026
DA - 2026/06/10
PB - arXiv
DO - 10.48550/arxiv.2606.11940
UR - https://arxiv.org/abs/2606.11940
AB - The native processing of time-dependent signals from optical sensors by integrated photonic circuits can potentially bring significant advantages in terms of energy consumption, latency and processing power, as it allows skipping or reducing the use of fast digital electronics and directly exploiting optical degrees of freedom and parallelism. However, due to a short memory, optical operations usually struggle to directly process optical signals with relatively slow (<MHz) dynamics from optical sensors. In this work, we experimentally show that these limitations can be overcome by exploiting the self-pulsing dynamics in a microring resonator (MRR) network. In particular, we demonstrate that such dynamics can expand and retain information about perturbations sensed by a fiber sensor. This reduces the minimum sampling rate for the digitization of the sensor signal by at least one order of magnitude. The reduction is achieved by combining fiber sensing measurements at two different perturbation locations and frequencies with MRR network measurements at multiple output ports, input power levels and laser wavelengths. This work represents a first step in bridging time-dependent optical processing and optical sensing at sub-μs time scales.
ER -