Digital signal processing for compensation for fibre nonlinearity Is a key enabler of ever-
greater demand higher data rates for unified optical transmissions. A big challenge to the …

The estimation of the quality of transmission (QoT) in optical systems with machine learning
(ML) has recently been the focus of a large body of research. We discuss the sources of …

To support the development of intelligent optical networks, accurate modeling of the physical
layer is crucial. Digital twin (DT) modeling, which relies on continuous learning with real-time …

We have developed a fiber-longitudinal monitor that visualizes distance-wise optical power
throughout the entire multi-span link by using the signal waveform obtained by a coherent …

Over the past few decades, the demand for the capacity and reliability of optical networks
has continued to grow. In the meantime, optical networks with larger knowledge scales have …

A new class of digital signal processing (DSP)-based fiber-longitudinal optical power profile
monitor has recently been proposed and demonstrated toward optical network tomography …

The computational complexity and system bit-error-rate (BER) performance of four types of
neural-network-based nonlinear equalizers are analyzed for a 50-Gb/s pulse amplitude …

Current management of optical communication systems is conservative, manual-based, and
time-consuming. To improve this situation, building an intelligent closed-loop control system …

Optical cables are enormous transmission media that carry high‐speed data across
transatlantic, intercontinental, international boundaries, and cities. The optical cable is …

A cost-effective optical performance monitoring (OPM) scheme is proposed to realize
modulation format identification (MFI), baud rate identification (BRI), chromatic dispersion …