Multi-Parameter AI-Based Bandwidth Compensation for Energy-Efficient 800G Transmission

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2023Publisher:Optica Publishing GroupJournal:Optical Fiber Communication Conference (OFC) 2023Funded by:EC | DIOR

Authors: Fernandes, Marco A.; Messias, Adriano C.; Tomaz De M. Vilela; Formiga, Daniel A.; Reis, Jacklyn D.; Monteiro, Paulo P.; Guiomar, Fernando P.;

doi: 10.1364/ofc.2023.th1e.4 , 10.23919/ofc49934.2023.10117316 , 10.5281/zenodo.7562053 , 10.5281/zenodo.14726349 , 10.5281/zenodo.7562052

Multi-Parameter AI-Based Bandwidth Compensation for Energy-Efficient 800G Transmission

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Abstract

We propose a novel energy-efficient AI-based bandwidth compensation technique that jointly optimizes Tx and Rx static filters. Experimental demonstration in a 800G system reveals gains of more than 1 dB when compared with typical digital pre-emphasis.

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