Reliable QoT Estimation for Imbalanced Data from Deployed Optical Networks Using MDN-ResKAN
Published in Asia Communications and Photonics Conference (ACP) 2026 — under review, 2026
Proposes MDN-ResKAN to model Q-factor distributions for reliable QoT estimation under imbalanced deployed-network data. Reduces nominal RMSE by 32.5% and achieves >97% anomaly recall.
Recommended citation: S. Xiang, S. Wu, Q. Qiu, R. Liu, Y. Zhang, W. Hu, and Q. Zhuge. (2026). "Reliable QoT Estimation for Imbalanced Data from Deployed Optical Networks Using MDN-ResKAN." Submitted to ACP 2026. (under review).
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