Transceiver-Impairment Mitigation Enabled by Adaptive Symbol Decision with Neural Networks

We propose to use symbol decision based on neural networks to alleviate the impacts of quantization noise, laser phase noise, IQ impairments, and their interactions. Our DSP-assisted transceiver design allows the use of low-cost transceiver hardware while satisfying the performance requirements. Ext...

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Bibliographic Details

Published in:	2023 International Conference on Photonics in Switching and Computing (PSC) pp. 1 - 3
Main Authors:	Ochiai, Takuro, Higuchi, Reiji, Kuno, Takuma, Shiraki, Ryuta, Mori, Yojiro, Hasegawa, Hiroshi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 26-09-2023
Subjects:	Artificial neural networks digital coherent receiver IQ impairments Laser noise machine learning Phase noise Quantization (signal) quantization noise Receivers Switches Symbols
Online Access:	Get full text
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