Archivio Istituzionale della RicercaWe optimize nonlinear Digital Pre-Distorters for VCSEL-MMF links using an End-to-end (E2E) learning architecture focused on TDECQ IEEE specifications for 100 Gbps/lambda. We experimentally demonstrate that our E2E training improves the TDECQ performance by more than 0.8 dB compared to Direct Learning.
TDECQ optimization of VCSEL-MMF nonlinear digital pre-distorters using end-to-end learning / Minelli, Leonardo; Forghieri, Fabrizio; Shahpari, Ali; Shao, Tong; Gaudino, Roberto. - ELETTRONICO. - (2023), pp. 526-529. (Intervento presentato al convegno 49th European Conference on Optical Communications (ECOC 2023) tenutosi a Glasgow (UK) nel 1-5 October 2023) [10.1049/icp.2023.2234].
TDECQ optimization of VCSEL-MMF nonlinear digital pre-distorters using end-to-end learning
Minelli, Leonardo;Gaudino Roberto
2023
Abstract
We optimize nonlinear Digital Pre-Distorters for VCSEL-MMF links using an End-to-end (E2E) learning architecture focused on TDECQ IEEE specifications for 100 Gbps/lambda. We experimentally demonstrate that our E2E training improves the TDECQ performance by more than 0.8 dB compared to Direct Learning.
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ECOC2023_VCSEL_precomp-13.pdf
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Minelli-TDECQ.a1.pdf
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https://hdl.handle.net/11583/2986687