We explore the potential benefits of digital nonlinearity compensation (NLC) techniques in
fully loaded coherent wavelength-division multiplexed (WDM) transmission systems. After …

A deep learning (DL) based digital backpropagation (DBP) method with a 1 dB SNR gain
over a conventional 1 step per span DBP is demonstrated in a 32 GBd 16QAM transmission …

We discuss an analytical model that predicts the impact of the Kerr nonlinearity in optical
communication systems when the signal spectrum is wide and the accumulated dispersion …

Recently, data-driven approaches motivated by modern deep learning have been applied to
optical communications in place of traditional model-based counterparts. The application of …

Efficient nonlinearity compensation in fiber-optic communication systems is considered a
key element to go beyond the “capacity crunch”. One guiding principle for previous work on …

Current status and the future perspective of digital coherent technology for optical fiber and
radio-over-fiber (RoF) transmission systems will be reviewed. For the starter, we will review …

Fiber nonlinearity has become a major limiting transmission impairment factor. In this paper,
we discuss various nonlinearity mitigation techniques in electrical and optical domains. In …

In this paper, we propose a novel detector for single-channel long-haul coherent optical
communications, termed stochastic digital backpropagation (SDBP), which takes into …

Deep neural networks (DNNs) recently emerged as a promising tool for analyzing and
solving complex differential equations arising in science and engineering applications …

Network traffic demands are forecast to increase for the foreseeable future, with the
challenge being to meet the demand while maintaining or lowering network costs. Simply …