Machine learning (ML) has disrupted a wide range of science and engineering disciplines in
recent years. ML applications in optical communications and networking are also gaining …

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

Artificial Neural Networks is a calculation method that builds several processing units based
on interconnected connections. The network consists of an arbitrary number of cells or …

The optical signal-to-noise ratio (OSNR) and fiber nonlinearity are critical factors in
evaluating the performance of high-speed optical fiber communication systems. Recently …

Fiber nonlinear interference (NLI) modeling and monitoring are the key building blocks to
support elastic optical networks. In the past, they were normally developed and investigated …

Operators are pressured to maximize the achieved capacity over deployed links. This can be
obtained by operating in the weakly nonlinear regime, requiring a precise understanding of …

In the optical networks, the dynamicity, the complexity and the heterogeneity have
dramatically increased owing to the deployment of advanced coherent techniques, and the …

Pilot tone (PT) is a low frequency, small intensity modulation applied to high speed optical
channel. Traditionally PT is used for channel identification and channel power monitoring. A …

Digital coherent transceivers have developed to the stage that they can monitor the physical
state of an optical network and thus are capable of generating data to build measurement …

For high symbol rate fiber optic networks, the estimation and monitoring of time varying link
performance parameters are critical for delivering optimal network performance. In this …