KIT | KIT-Bibliothek | Impressum | Datenschutz

Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey

Shao, Chen 1; Giacoumidis, Elias; Billah, Syed Moktacim 1; Li, Shi; Li, Jialei; Sahu, Prashasti; Richter, André; Faerber, Michael ORCID iD icon 1; Kaefer, Tobias ORCID iD icon 1
1 Fakultät für Wirtschaftswissenschaften (WIWI), Karlsruher Institut für Technologie (KIT)

Abstract:

Recently, extensive research has been conducted to explore the utilization of machine learning (ML) algorithms in various direct-detected and (self)-coherent short-reach communication applications. These applications encompass a wide range of tasks, including bandwidth request prediction, signal quality monitoring, fault detection, traffic prediction, and digital signal processing (DSP)-based equalization. As a versatile approach, ML demonstrates the ability to address stochastic phenomena in optical systems networks where deterministic methods may fall short. However, when it comes to DSP equalization algorithms such as feed-forward/decision-feedback equalizers (FFEs/DFEs) and Volterra-based nonlinear equalizers, their performance improvements are often marginal, and their complexity is prohibitively high, especially in cost-sensitive short-reach communications scenarios such as passive optical networks (PONs). Time-series ML models offer distinct advantages over frequency-domain models in specific contexts. They excel in capturing temporal dependencies, handling irregular or nonlinear patterns effectively, and accommodating variable time intervals. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000173659
Veröffentlicht am 23.08.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Fakultät für Wirtschaftswissenschaften (WIWI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2024
Sprache Englisch
Identifikator ISSN: 2304-6732
KITopen-ID: 1000173659
Erschienen in Photonics
Verlag MDPI
Band 11
Heft 7
Seiten Art.-Nr.: 613
Vorab online veröffentlicht am 28.06.2024
Nachgewiesen in Dimensions
Web of Science
Scopus
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page