Short-Reach MCF-Based Systems Employing KK Receivers and Feedforward Neural Networks for ICXT Mitigation

Short-Reach MCF-Based Systems Employing KK Receivers and Feedforward Neural Networks for ICXT Mitigation

This paper proposes and evaluates the use of machine learning (ML) techniques for mitigating the effect of the random inter-core crosstalk (ICXT) on 256 Gb/s short-reach systems employing weakly coupled multicore fiber (MCF) and Kramers–Kronig (KK) receivers. The performance improvement provided by...

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Bibliographic Details
Main Authors: Derick Piedade, Tiago Alves, Tomás Brandão
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Photonics
Subjects:
short-reach systems
multicore fiber
machine learning
Kramers–Kronig receiver
Online Access:https://www.mdpi.com/2304-6732/9/5/286

Internet

https://www.mdpi.com/2304-6732/9/5/286

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