Abstract
This paper proposes the use of recurrent neural networks-based machine learning equalizers to mitigate the nonlinearities in SOA-based WDM-PON systems with 100-GHz channel spacing. We achieve >31-dB link budgets on each channel for 4x75-Gbit/s PAM-4 transmissions over 25-km of single-mode fiber at 1550-nm.
© 2022 The Author(s)
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