Thomas Deinlein, M. Sc.
Thomas Deinlein is currently working towards the Ph.D. degree in the computer science at the chair for computer networks and communication systems at the university Erlangen-Nürnberg. Thomas received his bachelor of engineering degree (B.Eng.) in computer science (Informatik) at the university for applied sciences Würzburg-Schweinfurt in March 2015 with study focus IT-security. By the end of his bachelor study he received a scholarship of the Studienstiftung des deutschen Volkes (e.V.). After his bachelor study he decided on a master study of computer science with study focus automotive engineering at the university Erlangen-Nürnberg which he finished in May 2017 with the master of science degree (M.Sc.).
Introducing a Toolset for an easy Management of 3GPP Specifications
The 14th International Conference on Digital Telecommunications (ICDT 2019) (Valencia, 2019-03-24 - 2019-03-28)
In: International Academy, Research and Industry Association (IARIA) (ed.): Proceedings of the The 14th International Conference on Digital Telecommunications (ICDT 2019) 2019
Open Access: https://www.thinkmind.org/index.php?view=article&articleid=icdt_2019_1_20_10013
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Simulative Comparison of 4G/5G ITU Channel Models in the Context of V2I
2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) (Honululu, Hawaii, USA, 2019-09-22 - 2019-09-25)
In: Institute of Electrical and Electronics Engineers (IEEE) (ed.): 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) 2019
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Measurement-Based Evaluation of Environmental Diffraction Modeling for 3D Vehicle-to-X Simulation
10th IEEE Vehicular Networking Conference (VNC 2018) (Taipei, 2018-12-05 - 2018-12-07)
In: Proceedings of the 10th IEEE Vehicular Networking Conference (VNC 2018) 2018
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Evaluation of Single-Hop Beaconing with Congestion Control in IEEE WAVE and ETSI ITS-G5
Measurement, Modelling and Evaluation of Computing Systems (MMB) (Erlangen, 2018-02-26 - 2018-02-28)
In: German R., Hielscher K., Krieger U. R. (ed.): Measurement, Modelling and Evaluation of Computing Systems, Cham: 2018
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- Simulation and Modelling of various 5G-Mechanisms within the context of connected mobility
(Own Funds)Term: 2017-10-01 - 2020-09-30The networking of vehicles with other road users or the infrastructure (Vehicle-to-Everything (V2X)) is one of the key technologies for autonomous driving and smart cities. The WLAN standard IEEE 802.11p developed for this purpose has already been the focus of research for a decade. So far, however, this communication technology has not been able to establish itself as a communication standard in the automotive industry. One possible reason for this is the non-existent stationary infrastructure (base stations at the roadside or at traffic lights), which would require high investments.
Many automobile manufacturers are therefore focusing their research on the latest generation of mobile radio technologies. The required infrastructure is available nationwide due to other mobile phone subscribers. LTE has already adopted specifications for direct communication between vehicles and communication via a base station. The latest mobile radio generation (5G), which is to be introduced from 2020, takes into account application cases and criteria for V2X communication right from the start. For 5G, the virtualization of mobile radio components via network slicing in conjunction with SDN and NFV will play a decisive role in maintaining quality of service parameters compared to LTE and WLAN.
For the simulation of V2X communication scenarios via WLAN IEEE 802.11p the Veins framework developed at the chair has been used in numerous studies. In order to evaluate comparisons between WLAN and mobile radio by simulation, a further development of Veins with the mobile radio technologies LTE/5G is of great interest. The focus here is in particular on questions of Quality of Service (QoS) and the planned V2X application cases. In the context of this doctoral thesis the Veins framework is extended to the 5G technology. The focus here is on mechanisms of the lower network layers and the planned network slicing and Quality of Service (QoS) approaches.