Abstract
We propose and simulate a new mechanism to protect against the failure of AI-based QoT prediction by assigning OSNR margins for working lightpath using the AI-based prediction method and for protection lightpath using the traditional, conservative method. This guarantees reliability of lightpath services, while not significantly increasing network spectrum resources used.
© 2020 The Author(s)
PDF ArticleMore Like This
Yuansen Cheng, Shifeng Ding, and Chun-Kit Chan
Tu5.65 European Conference and Exhibition on Optical Communication (ECOC) 2022
I. Sartzetakis, K. Christodoulopoulos, and E. Varvarigos
W4F.4 Optical Fiber Communication Conference (OFC) 2017
Min Zhang, Dong Fu, Bo Xu, Baojian Wu, and Kun Qiu
JTu2A.32 CLEO: Applications and Technology (CLEO:A&T) 2018