Lennard, Samuel;
Barbosa, Fabio A;
Ferreira, Filipe M;
(2025)
Zero-Shot ML Equalization in Coherent Optical Transmission: A First Experimental Demonstration.
Journal of Lightwave Technology
10.1109/jlt.2025.3550277.
(In press).
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Abstract
There has been a wide range of work demonstrating the effectiveness of machine learning-based equalizers in coherent optical communications. Despite this, the training requirements for applying these techniques remain prohibitive for any real-time implementation. In this paper, we demonstrate a procedure that allows for a neural network equalizer to be trained entirely offline in simulation such that it can be applied, in a zero-shot manner, to a broad range of experimental conditions without the need for online training data. This work therefore presents a technique which may allow for the training requirement of machine learning-based equalizers to be mitigated entirely. In addition, we showcase this technique matching or outperforming conventional linear DSP which needs to be tuned to each channel condition. This also therefore allows for equalization with constant convergence latency when being applied to new channel conditions, enabling fully dynamic networks.
| Type: | Article |
|---|---|
| Title: | Zero-Shot ML Equalization in Coherent Optical Transmission: A First Experimental Demonstration |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/jlt.2025.3550277 |
| Publisher version: | https://doi.org/10.1109/jlt.2025.3550277 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. - For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version. |
| Keywords: | Machine learning, zero shot learning, transfer learning, domain randomization, coherent optical transmission, digital signal processing |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10206897 |
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