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ORCIDJakob Thrane
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2020 – today
- 2022
[d3]Krzysztof Mateusz Malarski
, Jakob Thrane, Henrik Lehrmann Christiansen, Sarah Ruepp:
NB-IoT deep-indoor measurements in an underground tunnel system. IEEE DataPort, 2022
- [d2]Jakob Thrane, Henrik Lehrmann Christiansen:
Mobile Communication System Measurements and Satellite Images. IEEE DataPort, 2022 - 2021
- [j2]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): 6746-6756 (2021) - 2020
- [j1]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: 7925-7936 (2020) - [c12]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: 1-6 - [c11]Jakob Thrane, Benjamin Sliwa, Christian Wietfeld, Henrik Lehrmann Christiansen:
Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge. GLOBECOM 2020: 1-6 - [d1]Jakob Thrane, Henrik Lehrmann Christiansen, Markus Greve Bech:
Technical University of Denmark LTE drive test measurements. IEEE DataPort, 2020 - [i2]Jakob Thrane, Krzysztof Mateusz Malarski, Henrik Lehrmann Christiansen, Sarah Ruepp:
Experimental Evaluation of Empirical NB-IoT Propagation Modelling in a Deep-Indoor Scenario. CoRR abs/2006.00880 (2020) - [i1]Jakob Thrane, Benjamin Sliwa, Christian Wietfeld, Henrik Lehrmann Christiansen:
Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge. CoRR abs/2008.07747 (2020)
2010 – 2019
- 2019
- [c10]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: 1-5 - [c9]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: 1-5 - 2018
- [c8]Sarah Ruepp, Alba Carrillo Mateo, Krzysztof Mateusz Malarski, Jakob Thrane, Martin Nordal Petersen:
Internet of Things Connectivity in Deep-Indoor Environments. NOF 2018: 96-100 - [c7]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: 106-108 - [c6]Matteo Artuso, Jakob Thrane, Henrik Lehrmann Christiansen:
User-Centric Power Saving in Self-Organizing Mobile Networks. VTC Fall 2018: 1-5 - [c5]Jakob Thrane, Matteo Artuso, Darko Zibar, Henrik Lehrmann Christiansen:
Drive Test Minimization Using Deep Learning with Bayesian Approximation. VTC Fall 2018: 1-5 - 2017
- [c4]Darko Zibar, Jesper Wass, Jakob Thrane, Molly Piels:
Machine learning techniques for optical communication system optimization. ICTON 2017: 1 - [c3]Jesper Wass, Jakob Thrane, Molly Piels, Rasmus T. Jones, Darko Zibar:
Gaussian process regression for WDM system performance prediction. OFC 2017: 1-3 - [c2]Sarah Ruepp, Artur Pilimon, Jakob Thrane, Michael Galili, Michael S. Berger, Lars Dittmann:
Combining hardware and simulation for datacenter scaling studies. ONDM 2017: 1-6 - 2016
- [c1]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: 1-3
Coauthor Index
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