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Dennis Overbeck
Dennis Overbeck
Doctoral Researcher, Communication Networks Institute, TU Dortmund University
Bestätigte E-Mail-Adresse bei tu-dortmund.de
Titel
Zitiert von
Zitiert von
Jahr
SAMUS: Slice-aware machine learning-based ultra-reliable scheduling
C Bektas, D Overbeck, C Wietfeld
ICC 2021-IEEE International Conference on Communications, 1-6, 2021
192021
Towards open 6g: Experimental o-ran framework for predictive uplink slicing
R Wiebusch, NA Wagner, D Overbeck, F Kurtz, C Wietfeld
ICC 2023-IEEE International Conference on Communications, 4834-4839, 2023
102023
Proactive Resource Management for Predictive 5G Uplink Slicing
D Overbeck, NA Wagner, F Kurtz, C Wietfeld
GLOBECOM 2022-2022 IEEE Global Communications Conference, 1000-1005, 2022
82022
Providing response times guarantees for mixed-criticality network slicing in 5g
A Nota, S Saidi, D Overbeck, F Kurtz, C Wietfeld
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 552-555, 2022
82022
Predictive 5G Uplink Slicing for Blockchain-driven Smart Energy Contracts
F Kurtz, R Wiebusch, D Overbeck, C Wietfeld
2022 IEEE International Conference on Communications Workshops (ICC …, 2022
62022
Design of a 5G Network Slicing Architecture for Mixed-Critical Services in Cellular Energy Systems
D Overbeck, F Kurtz, S Böcker, C Wietfeld
2022 IEEE International Conference on Communications, Control, and Computing …, 2022
52022
Context-based Latency Guarantees Considering Channel Degradation in 5G Network Slicing
A Nota, S Saidi, D Overbeck, F Kurtz, C Wietfeld
2022 IEEE Real-Time Systems Symposium (RTSS), 253-265, 2022
42022
Data-Driven Proactive Uplink Slicing enabling Real-Time Control within an Open RAN Testbed
D Overbeck, NA Wagner, R Wiebusch, J Püttschneider, T Faulwasser, ...
32024
Control Plane Fault Tolerance for Resilient Software-Defined Networking based Critical Infrastructure Communications
F Kurtz, D Overbeck, C Bektas, C Wietfeld
2018 IEEE 5G World Forum (5GWF), 10-13, 2018
12018
5.4 Machine Learning-Enabled 5G Network Slicing
C Bektas, F Kurtz, D Overbeck, C Wietfeld
Machine Learning under Resource Constraints-Applications 354, 354, 2022
2022
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