Neskorniuk, Vladislav, Buchali, Fred, Bajaj, Vinod, Turitsyn, Sergei K., Prilepsky, Jaroslaw E. and Aref, Vahid (2021). Neural-Network-Based Nonlinearity Equalizer for 128 GBaud Coherent Transcievers. IN: 2021 Optical Fiber Communications Conference and Exposition. 2021-06-06 - 2021-06-10.
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.
| Divisions: | College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT) College of Engineering & Physical Sciences |
|---|---|
| Additional Information: | © 2021 The Authors |
| Event Title: | 2021 Optical Fiber Communications Conference and Exposition |
| Event Type: | Other |
| Event Dates: | 2021-06-06 - 2021-06-10 |
| Last Modified: | 17 Apr 2024 07:29 |
| Date Deposited: | 21 Jul 2021 13:30 | PURE Output Type: | Paper |
| Published Date: | 2021-06-06 |
| Authors: |
Neskorniuk, Vladislav
(
0000-0002-3358-153X)
Buchali, Fred Bajaj, Vinod Turitsyn, Sergei K. (
0000-0003-0101-3834)
Prilepsky, Jaroslaw E. (
0000-0002-3035-4112)
Aref, Vahid |
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)