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

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

OFC（2023）

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摘要

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 1dB when compared with typical digital pre-emphasis.

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关键词

multi-parameter,ai-based,energy-efficient

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