Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: Multi-Parameter AI-Based Bandwidth Compensation for Energy-Efficient 800G Transmission
المؤلفون: Marco A. Fernandes, Adriano C. Messias, Tomaz de M. Vilela, Daniel A. Formiga, Jacklyn D. Reis, Paulo P. Monteiro, Fernando P. Guiomar
بيانات النشر: Zenodo
سنة النشر: 2023
المجموعة: Zenodo
الوصف: 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.
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
Relation: https://zenodo.org/communities/optwire; https://doi.org/10.5281/zenodo.7562052; https://doi.org/10.5281/zenodo.7562053; oai:zenodo.org:7562053
DOI: 10.5281/zenodo.7562053
الاتاحة: https://doi.org/10.5281/zenodo.7562053
Rights: info:eu-repo/semantics/openAccess ; Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcode
رقم الانضمام: edsbas.24E937FC
قاعدة البيانات: BASE