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Conferences > OFC > 2021 > Th1A > Th1A.30

Neural-Network-Based Nonlinearity Equalizer for 128 GBaud Coherent Transcievers

Vladislav Neskorniuk, Fred Buchali, Vinod Bajaj, Sergei K. Turitsyn, Jaroslaw E. Prilepsky, and Vahid Aref

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Abstract

We propose an efficient neural-network-based equalization jointly compensating fiber and transceiver nonlinearities for high-symbol-rate coherent short-reach links. Providing about 0.9 dB extra SNR gain, it allows achieving experimentally the record single-channel 1.48 Tbps net rate over 240 km G.652 fiber.

© 2021 The Author(s)

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