Jakob Thrane

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 16

Top Topics

Gaussian Process Regression

Indoor Environments

Signal Strength

Top Venues

Publications

Krzysztof Mateusz Malarski, Jakob Thrane, Henrik Lehrmann Christiansen, Sarah Ruepp
Understanding Sub-GHz Signal Behavior in Deep-Indoor Scenarios. IEEE Internet Things J. 8 (8) (2021)
Jakob Thrane, Darko Zibar, Henrik Lehrmann Christiansen
Model-Aided Deep Learning Method for Path Loss Prediction in Mobile Communication Systems at 2.6 GHz. IEEE Access 8 (2020)
Jakob Thrane, Benjamin Sliwa, Christian Wietfeld, Henrik Lehrmann Christiansen
Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge. CoRR (2020)
Jakob Thrane, Krzysztof Mateusz Malarski, Henrik Lehrmann Christiansen, Sarah Ruepp
Experimental Evaluation of Empirical NB-IoT Propagation Modelling in a Deep-Indoor Scenario. CoRR (2020)
Jakob Thrane, Krzysztof Mateusz Malarski, Henrik Lehrmann Christiansen, Sarah Ruepp
Experimental Evaluation of Empirical NB-IoT Propagation Modelling in a Deep-Indoor Scenario. GLOBECOM (2020)
Jakob Thrane, Benjamin Sliwa, Christian Wietfeld, Henrik Lehrmann Christiansen
Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge. GLOBECOM (2020)
Krzysztof Mateusz Malarski, Jakob Thrane, Markus Greve Bech, Kamil Macheta, Henrik Lehrmann Christiansen, Martin Nordal Petersen, Sarah Ruepp
Investigation of Deep Indoor NB-IoT Propagation Attenuation. VTC Fall (2019)
Jakob Thrane, Darko Zibar, Henrik Lehrmann Christiansen
Comparison of Empirical and Ray-Tracing Models for Mobile Communication Systems at 2.6 GHz. VTC Fall (2019)
Krzysztof Mateusz Malarski, Alexander Victor Tietgen Bardram, Mikkel Delbo Larsen, Jakob Thrane, Martin Nordal Petersen, Lars Moeller, Sarah Ruepp
Demonstration of NB-IoT for Maritime Use Cases. NOF (2018)
Sarah Ruepp, Alba Carrillo Mateo, Krzysztof Mateusz Malarski, Jakob Thrane, Martin Nordal Petersen
Internet of Things Connectivity in Deep-Indoor Environments. NOF (2018)
Matteo Artuso, Jakob Thrane, Henrik Lehrmann Christiansen
User-Centric Power Saving in Self-Organizing Mobile Networks. VTC Fall (2018)
Jakob Thrane, Matteo Artuso, Darko Zibar, Henrik Lehrmann Christiansen
Drive Test Minimization Using Deep Learning with Bayesian Approximation. VTC Fall (2018)
Jesper Wass, Jakob Thrane, Molly Piels, Rasmus T. Jones, Darko Zibar
Gaussian process regression for WDM system performance prediction. OFC (2017)
Sarah Ruepp, Artur Pilimon, Jakob Thrane, Michael Galili, Michael S. Berger, Lars Dittmann
Combining hardware and simulation for datacenter scaling studies. ONDM (2017)
Darko Zibar, Jesper Wass, Jakob Thrane, Molly Piels
Machine learning techniques for optical communication system optimization. ICTON (2017)
Darko Zibar, Jakob Thrane, Jesper Wass, Rasmus T. Jones, Molly Piels, Christian G. Schaeffer
Machine learning techniques applied to system characterization and equalization. OFC (2016)