Author:
Ochiai Takuro,Shiraki Ryuta,Mori Yojiro,Hasegawa Hiroshi
Abstract
We investigate performance of symbol decision based on neural networks in the presence of severe quantization noise for the first time. Simulations show 2 dB improvement when 256-QAM signals are generated with 6-bit DACs.
Cited by
1 articles.
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1. Transceiver-Impairment Mitigation Enabled by Adaptive Symbol Decision with Neural Networks;2023 International Conference on Photonics in Switching and Computing (PSC);2023-09-26