Jakob Thrane

Orcid: 0000-0003-0056-4503

According to our database1, Jakob Thrane authored at least 17 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Mobile Communication System Measurements and Satellite Images.
Dataset, May, 2022

NB-IoT deep-indoor measurements in an underground tunnel system.
Dataset, May, 2022

2021
Understanding Sub-GHz Signal Behavior in Deep-Indoor Scenarios.
IEEE Internet Things J., 2021

2020
Technical University of Denmark LTE drive test measurements.
Dataset, April, 2020

Model-Aided Deep Learning Method for Path Loss Prediction in Mobile Communication Systems at 2.6 GHz.
IEEE Access, 2020

Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge.
Proceedings of the IEEE Global Communications Conference, 2020

Experimental Evaluation of Empirical NB-IoT Propagation Modelling in a Deep-Indoor Scenario.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Comparison of Empirical and Ray-Tracing Models for Mobile Communication Systems at 2.6 GHz.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Investigation of Deep Indoor NB-IoT Propagation Attenuation.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

2018
Drive Test Minimization Using Deep Learning with Bayesian Approximation.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

User-Centric Power Saving in Self-Organizing Mobile Networks.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Internet of Things Connectivity in Deep-Indoor Environments.
Proceedings of the 9th International Conference on the Network of the Future, 2018

Demonstration of NB-IoT for Maritime Use Cases.
Proceedings of the 9th International Conference on the Network of the Future, 2018

2017
Combining hardware and simulation for datacenter scaling studies.
Proceedings of the 2017 International Conference on Optical Network Design and Modeling, 2017

Gaussian process regression for WDM system performance prediction.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2017

Machine learning techniques for optical communication system optimization.
Proceedings of the 2017 19th International Conference on Transparent Optical Networks (ICTON), 2017

2016
Machine learning techniques applied to system characterization and equalization.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016


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