Neural-Network-Based Nonlinearity Equalizer for 128 GBaud Coherent Transcievers
Vladislav Neskorniuk (Aston University, Nokia Bell Labs)
Fred Buchali (Nokia Bell Labs)
V. Bajaj (TU Delft - Team Sander Wahls, Nokia Bell Labs)
Sergei K. Turitsyn (Aston University)
Jaroslaw E. Prilepsky (Aston University)
Vahid Aref (Nokia Bell Labs)
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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.
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