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Gabor Soos
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2020 – today
- 2022
- [b1]Gábor Soós:
Life Cycle Modeling of IoT Systems and Integration Method with 5G-based Industrial Cellular Networks. Budapest University of Technology and Economics, Hungary, 2022 - [j4]Gabor Soos, Dániel Ficzere, Pál Varga:
Analyzing group behavior patterns in a cellular mobile network for 5G use-cases. Int. J. Netw. Manag. 32(1) (2022) - [c16]Jakob Reckenzaun, Luca Csanady, Arno Eichberger, Alexandre Engelstein, Leander B. Hörmann, Tamás Kiss, Patrick Luley, Matthias Rüther, Stefan Schwarz, Thomas Strasser-Krauss, Selim Solmaz, Gabor Soos, Viktor Tihanyi, Attila Turoczi, Patrick Weissensteiner, Jinwei Zhou:
Transnational Testing, Operation and Certification of Automated Driving Systems: Perspective from testEPS and Central System EUREKA Projects. ICCVE 2022: 1-6 - [c15]Dániel Ficzere, Dhruvin Patel, Joachim Sachs, Junaid Ansari, Gábor Soós, Pál Varga:
5G public network integration for a real-life PROFINET application. NOMS 2022: 1-5 - 2021
- [j3]Viktor Tihanyi, Tamás Tettamanti, Mihály Csonthó, Arno Eichberger, Dániel Ficzere, Kálmán Gangel, Leander B. Hörmann, Maria Anneliese Klaffenböck, Christoph Knauder, Patrick Luley, Zoltán Ferenc Magosi, Gábor Magyar, Huba Németh, Jakob Reckenzaun, Viktor Remeli, András Rövid, Matthias Rüther, Selim Solmaz, Zoltán Somogyi, Gábor Soós, Dávid Szántay, Tamás Attila Tomaschek, Pál Varga, Zsolt Vincze, Christoph Wellershaus, Zsolt Szalay:
Motorway Measurement Campaign to Support R&D Activities in the Field of Automated Driving Technologies. Sensors 21(6): 2169 (2021) - [c14]Dániel Ficzere, Gabor Soos, Pál Varga:
A compact 5G Non-Public Network. CNSM 2021: 518-520 - [c13]Dániel Ficzere, Gábor Soós, Pál Varga, Zsolt Szalay:
Real-life V2X Measurement Results for 5G NSA Performance on a High-speed Motorway. IM 2021: 836-841 - 2020
- [j2]Pál Varga, József Peto, Attila Franko, David Balla, Dávid Haja, Ferenc Nándor Janky, Gabor Soos, Dániel Ficzere, Markosz Maliosz, László Toka:
5G support for Industrial IoT Applications - Challenges, Solutions, and Research gaps. Sensors 20(3): 828 (2020) - [j1]Zsolt Szalay, Dániel Ficzere, Viktor Tihanyi, Ferenc Magyar, Gábor Soós, Pál Varga:
5G-Enabled Autonomous Driving Demonstration with a V2X Scenario-in-the-Loop Approach. Sensors 20(24): 7344 (2020) - [c12]Gábor Soós, Dániel Ficzere, Pál Varga:
Investigating the network traffic of Industry 4.0 applications - methodology and initial results. CNSM 2020: 1-6 - [c11]Gábor Soós, Dániel Ficzere, Pál Varga:
User Group Behavioural Pattern in a Cellular Mobile Network for 5G Use-cases. NOMS 2020: 1-7 - [c10]Gábor Soós, Dániel Ficzere, Pál Varga, Zsolt Szalay:
Practical 5G KPI Measurement Results on a Non-Standalone Architecture. NOMS 2020: 1-5 - [c9]Gábor Soós, Dániel Ficzere, Pál Varga:
The Pursuit of NB-IoT Transmission Rate Limitations by Real-life Network Measurements. TSP 2020: 430-434
2010 – 2019
- 2019
- [c8]Dániel Kozma, Gábor Soós, Dániel Ficzere, Pál Varga:
Communication Challenges and Solutions between Heterogeneous Industrial IoT Systems. CNSM 2019: 1-6 - [c7]Péter Orosz, Pál Varga, Gábor Soós, Csaba Hegedüs:
QoS Guarantees for Industrial IoT Applications over LTE - a Feasibility Study. ICPS 2019: 667-672 - [c6]Dániel Kozma, Pál Varga, Gábor Soós:
Supporting Digital Production, Product Lifecycle and Supply Chain Management in Industry 4.0 by the Arrowhead Framework - a Survey. INDIN 2019: 126-131 - [c5]Gábor Soós, Pál Varga:
On the Security Threat of Abandoned and Zombie Cellular IoT Devices. INDIN 2019: 996-1001 - [c4]Gábor Soós, Ferenc Nándor Janky, Pál Varga:
Distinguishing 5G IoT Use-Cases through Analyzing Signaling Traffic Characteristics. TSP 2019: 562-565 - 2018
- [c3]Gabor Soos, Dániel Kozma, Ferenc Nándor Janky, Pál Varga:
IoT Device Lifecycle - A Generic Model and a Use Case for Cellular Mobile Networks. FiCloud 2018: 176-183 - 2017
- [c2]Pál Varga, Sándor Plósz, Gabor Soos, Csaba Hegedüs:
Security threats and issues in automation IoT. WFCS 2017: 1-6 - 2016
- [c1]Csaba Hegedüs, Dániel Kozma, Gabor Soos, Pál Varga:
Enhancements of the Arrowhead Framework to refine inter-cloud service interactions. IECON 2016: 5259-5264
Coauthor Index
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