Future communication systems are faced with increased demand for high capacity, dynamic
bandwidth, reliability and heterogeneous traffic. To meet these requirements, networks have …

The fast-emerging flexible optical networks require intelligent monitoring techniques for
supervising the signal quality performance to achieve the desired efficiency. In this paper …

Future communication systems are faced with increased demand for high capacity, dynamic
bandwidth, reliability and heterogeneous traffic. To meet these requirements, networks have …

For the first time, a combination of grayscale maps and single-channel convolutional neural
networks (CNN) is used in the direct detection optical performance monitoring (OPM) …

We propose a simultaneous baud rate identification (BRI), modulation format identification
(MFI) and multi-parameter optical performance monitoring (OPM) scheme for elastic optical …

In elastic optical network (EON), joint multi-parameter optical performance monitoring (OPM)
can effectively manage, diagnose, and reduce operational costs for transmission optical …

Real-time optical performance monitoring (OPM) is of the utmost importance in adaptive
optical networks to enable awareness of channel conditions and to achieve high quality of …

In this work, we propose an intelligent solution to cost-effective intermediate node monitoring
in optical networks using optical spectrum-based power distribution analysis (OSPDA) and …

Optical performance monitoring (OPM) by leveraging artificial neural network (ANN) has
become a promising data-driven solution for stability, reconfiguration, and efficient utilization …

摘要针对在动态光网络中使用传统深度学习进行多节点光信号监测时存在需要大量标记样本,
无标记样本没能得到充分利用和样本标记困难等问题, 提出一种基于半监督深度学习的光学性能 …