Darko Zibar

An Overview on Application of Machine Learning Techniques in Optical Networks

Francesco Musumeci, Cristina Rottondi, Avishek Nag et al. · IEEE Communications Surveys & Tutorials · 2018 · 610 citations · Full text

Single-source chip-based frequency comb enabling extreme parallel data transmission

Hao Hu, Francesco Da Ros, Minhao Pu et al. · Nature Photonics · 2018 · 264 citations

Electrical Engineering, Engineering, Clock Recovery +4

100 Gbit/s hybrid optical fiber-wireless link in the W-band (75–110 GHz)

Xiaodan Pang, Antonio Caballero, Anton Dogadaev et al. · Optics Express · 2011 · 226 citations · Full text

Free-space Optical Network, Photonics, Engineering +13

Machine Learning Techniques in Optical Communication

Darko Zibar, Molly Piels, Rasmus T. Jones et al. · Journal of Lightwave Technology · 2015 · 224 citations

Model-Aided Deep Learning Method for Path Loss Prediction in Mobile Communication Systems at 2.6 GHz

Jakob Thrane, Darko Zibar, Henrik Lehrmann Christiansen · IEEE Access · 2020 · 214 citations · Full text

Channel Modeling, Mobile Signal Processing, Engineering +14