Johannes Pillmann
According to our database1,
Johannes Pillmann
authored at least 13 papers
between 2016 and 2018.
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Bibliography
2018
Exploiting Map Topology Knowledge for Context-Predictive Multi-Interface Car-to-Cloud Communication.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018
Efficient Machine-Type Communication Using Multi-Metric Context-Awareness for Cars Used as Mobile Sensors in Upcoming 5G Networks.
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018
Machine Learning Based Context-Predictive Car-to-Cloud Communication Using Multi-Layer Connectivity Maps for Upcoming 5G Networks.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018
Efficient and Reliable Car-to-Cloud Data Transfer Empowered by BBR-Enabled Network Coding.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018
Resource-Efficient Transmission of Vehicular Sensor Data Using Context-Aware Communication.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018
2017
LIMoSim: A Lightweight and Integrated Approach for Simulating Vehicular Mobility with OMNeT++.
CoRR, 2017
Ultra-Wideband Antenna-Induced Error Prediction Using Deep Learning on Channel Response Data.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017
Car-to-Cloud Communication Traffic Analysis Based on the Common Vehicle Information Model.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017
Proceedings of the 2017 IEEE Vehicular Networking Conference, 2017
Empirical evaluation of predictive channel-aware transmission for resource efficient car-to-cloud communication.
Proceedings of the 2017 IEEE Vehicular Networking Conference, 2017
Novel common vehicle information model (CVIM) for future automotive vehicle big data marketplaces.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
2016
Ultra-Wideband Aided Precision Parking for Wireless Power Transfer to Electric Vehicles in Real Life Scenarios.
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016