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Conferences > OFC > 2023 > Th1E > Th1E.4

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

Marco A. Fernandes, Adriano C. Messias, Tomaz de M. Vilela, Daniel A. Formiga, Jacklyn D. Reis, Paulo P. Monteiro, and Fernando P. Guiomar

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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.

© 2023 The Author(s)

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