Archivio Istituzionale della RicercaWe experimentally demonstrate a nonlinear digital pre-distorter for PAM-M shaping in VCSEL+MMF IM-DD links able to operate at a generic baud rate using a fractional sample-per-symbol Neural Network. We focus on efficient and practical multi-rate operation, signal amplitude constraints, and linear equalizer at the receiver.
Nonlinear Pre-distortion through a Multi-rate End-to-end Learning Approach over VCSEL-MMF IM-DD Optical Links / Minelli, Leonardo; Forghieri, Fabrizio; Gaudino, Roberto. - ELETTRONICO. - (2022), pp. 1-4. (Intervento presentato al convegno 2022 European Conference on Optical Communication (ECOC) tenutosi a Basel, Switzerland nel 18-22 September 2022).
Nonlinear Pre-distortion through a Multi-rate End-to-end Learning Approach over VCSEL-MMF IM-DD Optical Links
Minelli Leonardo;Gaudino Roberto
2022
Abstract
We experimentally demonstrate a nonlinear digital pre-distorter for PAM-M shaping in VCSEL+MMF IM-DD links able to operate at a generic baud rate using a fractional sample-per-symbol Neural Network. We focus on efficient and practical multi-rate operation, signal amplitude constraints, and linear equalizer at the receiver.
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ECOC2022_Multi-rate_E2E_for_NonlinearDPD_final.pdf
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Minelli-Nonlinear.pdf
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https://hdl.handle.net/11583/2974492