Issue |
J. Eur. Opt. Society-Rapid Publ.
Volume 19, Number 1, 2023
Advancing Society with Light, a special issue from general congress ICO-25-OWLS-16-Dresden-Germany-2022
|
|
---|---|---|
Article Number | 29 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/jeos/2023020 | |
Published online | 02 June 2023 |
Research Article
Intelligent self calibration tool for adaptive few-mode fiber multiplexers using multiplane light conversion
1
TU Dresden, Faculty of Electrical and Computer Engineering, Laboratory of Measurement and Sensor System Technique, 01062 Dresden, Germany
2
University College London, Department of Electronic and Electrical Engineering, Optical Networks Group, London WC1E 7JE, United Kingdom
3
TU Dresden, Faculty of Physics, School of Science, 01062 Dresden, Germany
* Corresponding author: dennis.pohle@tu-dresden.de, juergen.czarske@tu-dresden.de
Received:
30
January
2023
Accepted:
18
April
2023
Space division multiplexing (SDM) is promising to enhance capacity limits of optical networks. Among implementation options, few-mode fibres (FMFs) offer high efficiency gains in terms of integratability and throughput per volume. However, to achieve low insertion loss and low crosstalk, the beam launching should match the fiber modes precisely. We propose an all-optical data-driven technique based on multiplane light conversion (MPLC) and neural networks (NNs). By using a phase-only spatial light modulator (SLM), spatially separated input beams are transformed independently to coaxial output modes. Compared to conventional offline calculation of SLM phase masks, we employ an intelligent two-stage approach that considers knowledge of the experimental environment significantly reducing misalignment. First, a single-layer NN called Model-NN learns the beam propagation through the setup and provides a digital twin of the apparatus. Second, another single-layer NN called Actor-NN controls the model. As a result, SLM phase masks are predicted and employed in the experiment to shape an input beam to a target output. We show results on a single-passage configuration with intensity-only shaping. We achieve a correlation between experiment and network prediction of 0.65. Using programmable optical elements, our method allows the implementation of aberration correction and distortion compensation techniques, which enables secure high-capacity long-reach FMF-based communication systems by adaptive mode multiplexing devices.
Key words: Optical networks / Fiber communication / Space division multiplexing / Artificial intelligence
© The Author(s), published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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