TY - GEN
T1 - QoT Estimation for Large-scale Mixed-rate Disaggregated Metro DCI Networks by Artificial Neural Networks
AU - He, Yan
AU - Chandramouli, Kausthubh
AU - Zhai, Zhiqun
AU - Chen, Sai
AU - Dou, Liang
AU - Xie, Chongjin
AU - Lu, Chao
AU - Lau, Alan Pak Tao
N1 - Publisher Copyright:
© 2024 OSA.
PY - 2024/3
Y1 - 2024/3
N2 - We proposed an artificial neural network (ANN)-based QoT estimator for large-scale mixed-rate disaggregated metro DCI networks with an estimation error standard deviation of 0.3 dB, outperforming analytical-based methods with vendor-specific transponder SNR characterization.
AB - We proposed an artificial neural network (ANN)-based QoT estimator for large-scale mixed-rate disaggregated metro DCI networks with an estimation error standard deviation of 0.3 dB, outperforming analytical-based methods with vendor-specific transponder SNR characterization.
UR - http://www.scopus.com/inward/record.url?scp=85194235961&partnerID=8YFLogxK
U2 - 10.1364/OFC.2024.W3G.2
DO - 10.1364/OFC.2024.W3G.2
M3 - Conference article published in proceeding or book
AN - SCOPUS:85194235961
T3 - 2024 Optical Fiber Communications Conference and Exhibition, OFC 2024 - Proceedings
SP - 1
EP - 3
BT - 2024 Optical Fiber Communications Conference and Exhibition, OFC 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 Optical Fiber Communications Conference and Exhibition, OFC 2024
Y2 - 24 March 2024 through 28 March 2024
ER -