Benjamin Sliwa
Orcid: 0000-0003-1133-8261Affiliations:
- TU Dortmund, Germany
According to our database1,
Benjamin Sliwa
authored at least 59 papers
between 2016 and 2022.
Collaborative distances:
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Bibliography
2022
DRaGon: Mining Latent Radio Channel Information from Geographical Data Leveraging Deep Learning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
System Modeling and Performance Evaluation of Predictive QoS for Future Tele-Operated Driving.
Proceedings of the IEEE International Systems Conference, 2022
Proceedings of the 2022 IEEE Future Networks World Forum, 2022
Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022
Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022
Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022
Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022
2021
PhD thesis, 2021
Client-Based Intelligence for Resource Efficient Vehicular Big Data Transfer in Future 6G Networks.
IEEE Trans. Veh. Technol., 2021
Client-Based Intelligence for Resource Efficient Vehicular Big Data Transfer in Future 6G Network.
CoRR, 2021
Robust machine learning-enabled routing for highly mobile vehicular networks with PARRoT in ns-3.
Proceedings of the WNS3 2021: 2021 Workshop on ns-3, Virtual Event, USA, 2021
PARRoT: Predictive Ad-hoc Routing Fueled by Reinforcement Learning and Trajectory Knowledge.
Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021
Rapid Network Planning of Temporary Private 5G Networks with Unsupervised Machine Learning.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021
Proceedings of the IEEE International Systems Conference, 2021
A Low Cost Modular Radio Tomography System for Bicycle and Vehicle Detection and Classification.
Proceedings of the IEEE International Systems Conference, 2021
Modeling and Simulation of Reconfigurable Intelligent Surfaces for Hybrid Aerial and Ground-based Vehicular Communications.
Proceedings of the MSWiM '21: 24th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Alicante, Spain, November 22, 2021
Machine Learning-Enabled Data Rate Prediction for 5G NSA Vehicle-to-Cloud Communications.
Proceedings of the 4th IEEE 5G World Forum, 2021
2020
Boosting Vehicle-to-Cloud Communication by Machine Learning-Enabled Context Prediction.
IEEE Trans. Intell. Transp. Syst., 2020
The Channel as a Traffic Sensor: Vehicle Detection and Classification Based on Radio Fingerprinting.
IEEE Internet Things J., 2020
Proceedings of the 2020 Workshop on ns-3, 2020
A Reinforcement Learning Approach for Efficient Opportunistic Vehicle-to-Cloud Data Transfer.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020
Reflecting Surfaces for Beyond Line-Of-Sight Coverage in Millimeter Wave Vehicular Networks.
Proceedings of the IEEE Vehicular Networking Conference, 2020
Acting selfish for the good of all: contextual bandits for resource-efficient transmission of vehicular sensor data.
Proceedings of the Mobihoc '20: The Twenty-first ACM International Symposium on Theory, 2020
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge.
Proceedings of the IEEE Global Communications Conference, 2020
The Best of Both Worlds: Hybrid Data-Driven and Model-Based Vehicular Network Simulation.
Proceedings of the IEEE Global Communications Conference, 2020
Proceedings of the 32nd Euromicro Conference on Real-Time Systems, 2020
Towards Cooperative Data Rate Prediction for Future Mobile and Vehicular 6G Networks.
Proceedings of the 2nd 6G Wireless Summit, 2020
2019
Data-Driven Network Simulation for Performance Analysis of Anticipatory Vehicular Communication Systems.
IEEE Access, 2019
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019
Empirical Analysis of Client-Based Network Quality Prediction in Vehicular Multi-MNO Networks.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019
Lightweight Simulation of Hybrid Aerial- and Ground-Based Vehicular Communication Networks.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019
Performance Evaluation and Optimization of B.A.T.M.A.N. V Routing for Aerial and Ground-Based Mobile Ad-Hoc Networks.
Proceedings of the 89th IEEE Vehicular Technology Conference, 2019
Unmanned Aerial Vehicles in Logistics: Efficiency Gains and Communication Performance of Hybrid Combinations of Ground and Aerial Vehicles.
Proceedings of the 2019 IEEE Vehicular Networking Conference, 2019
Proceedings of the 2019 IEEE International Systems Conference, 2019
2018
Performance Comparison of Dynamic Vehicle Routing Methods for Minimizing the Global Dwell Time in Upcoming Smart Cities.
Proceedings of the 88th IEEE Vehicular Technology Conference, 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
Payload-Size and Deadline-Aware Scheduling for Upcoming 5G Networks: Experimental Validation in High-Load Scenarios.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018
Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks Using Passive Downlink Indicators.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018
A radio-fingerprinting-based vehicle classification system for intelligent traffic control in smart cities.
Proceedings of the 2018 Annual IEEE International Systems Conference, 2018
System-in-the-loop design space exploration for efficient communication in large-scale IoT-based warehouse systems.
Proceedings of the 2018 Annual IEEE International Systems 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
Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
2017
LIMoSim: A Lightweight and Integrated Approach for Simulating Vehicular Mobility with OMNeT++.
CoRR, 2017
Proceedings of the 2017 Wireless Days, Porto, Portugal, March 29-31, 2017, 2017
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
Radio-Based Traffic Flow Detection and Vehicle Classification for Future Smart Cities.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017
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
2016
CoRR, 2016
B.A.T.Mobile: Leveraging Mobility Control Knowledge for Efficient Routing in Mobile Robotic Networks.
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016