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arXiv · 2603.20138

Low-complexity neural network equalization for long-haul coherent transmission with cascaded semiconductor optical amplifiers

S. Bogdanov·S. Sygletos·O. Sidelnikov·G. Gomes·M. Kamalian-Kopae·S. K. Turitsyn
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Abstract

In this letter, we numerically investigate a long-haul coherent data transmission system with a cascade of semiconductor optical amplifiers (SOAs). We exploit low-complexity neural networks that can be implemented in real time to compensate for the accumulated distortions induced by a cascade of SOAs. This equalization provides an order-of-magnitude reduction in bit error rate at low dispersion (in the O-band), whereas higher dispersion degrades performance.

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S. Bogdanov, S. Sygletos, O. Sidelnikov, G. Gomes, M. Kamalian-Kopae, S. K. Turitsyn. 2026-03-20. Low-complexity neural network equalization for long-haul coherent transmission with cascaded semiconductor optical amplifiers. https://arxiv.org/abs/2603.20138

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