We propose a bi-directional gated recurrent unit neural network based nonlinear equalizer
(bi-GRU NLE) for coherent optical communication systems. The performance of bi-GRU NLE …

We experimentally demonstrate a transfer learning (TL) simplified multi-task deep neural
network (MT-DNN) for joint optical signal-to-noise ratio (OSNR) monitoring and modulation …

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 …

Nonlinear impairments caused by devices and fiber transmission links in a coherent optical
communication system can severely limit its transmission distance and achievable capacity …

In this paper, we propose and demonstrate a low-complexity fiber nonlinearity impairments
compensation (NLC) scheme based on simple recurrent neural network (SRNN), combining …

Auxiliary management and control channel (AMCC) has been defined in ITU-T standards for
efficient deployment of a wavelength division multiplexing passive optical network (WDM …

The demand for high speed data transmission has increased rapidly over the past few years,
leading to the development of the data center concept. As is known, nonlinear effects in …

We propose a blind digital modulation format identification (MFI) method for coherent optical
fiber communication systems. Based on the evaluation of differential phase distribution ratio …

In this paper, asynchronous complex histogram (ACH)-based multi-task artificial neural
networks (MT-ANNs), are proposed to realize modulation format identification (MFI), optical …

We demonstrate real-time flexible coherent optical receiver based on a single FPGA chip,
which uses a set of digital signal processing (DSP) algorithms with low complexity to realize …