activity
20182022
most citedFast and Accurate Optical Fiber Channel Modeling Using Generative Adversarial Network

113 citations · 192 across the 8 of their papers we have counts for

collaborators

8 papers

physics.optics2022★ 19 cited

Low-complexity full-field ultrafast nonlinear dynamics prediction by a convolutional feature separation modeling method

Hang Yang, Haochen Zhao, Zekun Niu +4

The modeling and prediction of the ultrafast nonlinear dynamics in the optical fiber are essential for the studies of laser design, experimental optimization, and other fundamental…

eess.SP2022★ 52 cited

Fast and accurate waveform modeling of long-haul multi-channel optical fiber transmission using a hybrid model-data driven scheme

Hang Yang, Zekun Niu, Haochen Zhao +3

The modeling of optical wave propagation in optical fiber is a task of fast and accurate solving the nonlinear Schrödinger equation (NLSE), and can enable the optical system design…

cs.NI2021★ 6 cited

Throughput Maximization Leveraging Just-Enough SNR Margin and Channel Spacing Optimization

Cao Chen, Fen Zhou, Yuanhao Liu +1

Flexible optical network is a promising technology to accommodate high-capacity demands in next-generation networks. To ensure uninterrupted communication, existing lightpath provi…

cs.NI2021

Maximizing Revenue with Adaptive Modulation and Multiple FECs in Flexible Optical Networks

Cao Chen, Fen Zhou, Massimo Tornatore +1

Flexible optical networks (FONs) are being adopted to accommodate the increasingly heterogeneous traffic in today's Internet. However, in presence of high traffic load, not all off…

cs.IT2020★ 113 cited

Fast and Accurate Optical Fiber Channel Modeling Using Generative Adversarial Network

Hang Yang, Zekun Niu, Shilin Xiao +4

In this work, a new data-driven fiber channel modeling method, generative adversarial network (GAN) is investigated to learn the distribution of fiber channel transfer function. Ou…

eess.SP2018★ 2 cited

Digital Radio-over-Multicore-Fiber System with Self-Homodyne Coherent Detection and Entropy Coding for Mobile Fronthaul

Lu Zhang, Aleksejs Udalcovs, Rui Lin +15

We experimentally demonstrate a 28-Gbaud 16-QAM self-homodyne digital radio-over- 33.6km-7-core-fiber system with entropy coding for mobile fronthaul, achieving error-free carrier…

physics.optics2018

Experimental Demonstration of 503.61-Gbit/s DMT over 10-km 7-Core Fiber with 1.5-μm SM-VCSEL for Optical Interconnects

Lu Zhang, Joris Van Kerrebrouck, Oskars Ozolins +18

We experimentally demonstrate a net-rate 503.61-Gbit/s discrete multitone (DMT) transmission over 10-km 7-core fiber with 1.5-μm single mode VCSEL, where low-complexity kernelrecur…

eess.SP2018

Kernel Adaptive Filtering for Nonlinearity-Tolerant Optical Direct Detection Systems

Lu Zhang, Oskars Ozolins, Rui Lin +16

Kernel adaptive filtering (KAF) is proposed for nonlinearity-tolerant optical direct detection. For 7x128Gbit/s PAM4 transmission over 33.6km 7-core-fiber, KAF only needs 10 equali…