期刊
JOURNAL OF LIGHTWAVE TECHNOLOGY
卷 38, 期 1, 页码 75-81出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JLT.2019.2935422
关键词
Distributed optical fiber sensing; high capacity transmission; machine learning; network field experiment; optical fiber communications; probabilistic shaping; quadrature amplitude modulation; road condition; road traffic
To the best of our knowledge, we present the first field trial of distributed fiber optical sensing (DFOS) and highspeed communication, comprising a coexisting system, over an operation telecom network. Using probabilistic-shaped (PS) DP-144QAM, a 36.8 Tb/s with an 8.28-b/s/Hz spectral efficiency (SE) (48-Gbaud channels, 50-GHz channel spacing) was achieved. Employing DFOS technology, road traffic, i.e., vehicle speed and vehicle density, were sensed with 98.5% and 94.5% accuracies, respectively, as compared to video analytics. Additionally, road conditions, i.e., roughness level was sensed with >85% accuracy via a machine learning based classifier.
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