The trade-off between more user bandwidth and quality of service requirements introduces
unprecedented challenges to the next generation smart optical networks. In this regard, the …

With the rapid development of optical communication systems, more advanced techniques
conventionally used in long-haul transmissions have gradually entered systems covering …

With the development of 5G technology, high definition video and internet of things, the
capacity demand for optical networks has been increasing dramatically. To fulfill the capacity …

Applications using artificial neural networks (ANNs) for optical performance monitoring
(OPM) are proposed and demonstrated. Simultaneous identification of optical signal-to …

We review applications of machine learning (ML) in various aspects of optical
communications including optical performance monitoring, fiber nonlinearity compensation …

Machine Learning Methods for Optical Communication Systems Page 1 SpW2F.3.pdf Advanced
Photonics Congress (IPR, Networks, NOMA, PS, Sensors, SPPCom) © OSA 2017 1 Machine …

摘要随着无线通信领域的发展, 具有诸多优点的可见光通信(VLC) 已经发展成为了一种具有广阔
前景的通信手段. 然而, 可见光通信中的各种非线性效应会给其信号处理带来诸多的困难 …

As optical networks become more complex, the need for in-line monitoring of more than just
channel wavelength, power and OSNR becomes compelling. In this paper we describe an …

We discuss various applications of machine learning techniques in different aspects of
optical communications and networking including optical performance monitoring, fiber …

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