Incorporation of the perspectives of multiple stakeholders, such as the infrastructure and service providers and the users of the services or technologies
Elicitation and consideration of the preferences of the participants of the wireless network
Mathematical methods for optimizing resource allocation (communication, sensing, computing, and caching resources) in large networks of autonomous nodes
Application of cooperative game theory such as matching and assignment games
Combining methods from online machine learning, such as multi-armed bandits, and concepts from cooperative game theory to solve optimization problems in a decentralized manner
B. Simon, K. Keller, A. Sterz, B. Freisleben, O. Hinz, A. Klein, „A Multi-Stakeholder Modeling Framework for the Techno-Economic Analysis of Telecommunication Networks“, IEEE Communications Magazine, Feature Topic: Techno-Economic Analysis of Telecommunication Systems, February 2023
A. Sterz, P. Felka, B. Simon, S. Klos, A. Klein, O. Hinz and B. Freisleben, „Multi-Stakeholder Service Placement via Iterative Bargaining with Incomplete Information“, IEEE ACM Transactions on Networking, vol. 30, no. 4, pp. 1822-1837, Aug. 2022
B. Simon, H. Mehler, A. Klein „Online Learning in Matching Games for Task Offloading in Multi-Access Edge Computing“, In IEEE International Conference on Communications (ICC), Rome, Italy, May, 2023.
B. Simon, S. Dongare, T. Mahn, A. Ortiz and A. Klein, „Delay- and Incentive-Aware Crowdsensing: A Stable Matching Approach for Coverage Maximization“, In IEEE International Conference on Communications (ICC), Seoul, South Korea, May, 2022.
B. Simon, M. Destan, A. Klein, „Reliable Two-Timescale Scheduling in a Multi-User Downlink Channel with Hard Deadlines“ in IEEE Global Communications Conference (GLOBECOM) 2021
O. Opalko, B. Simon, D. Alonso, K. Dostert, „Physical layer and multi-carrier analysis for power line communication networks in Li-ion batteries for electric and hybrid vehicles“ in Vehicular Networking Conference (VNC) 2015, IEEE
Please email me your CV if you are interested.
(BT: Bachelor Thesis, MT: Master Thesis)
MT: „Energy-Efficient Task Assignment for Mobile Crowdsensing with Competing Users“, 2022
MT: „Service Placement for Multi-Access Edge Computing incorporating Multiple Service Providers with Incomplete Information“, 2022
BT: „Online Learning of Stable User-Resource Matching in Multi-Access Edge Computing“, 2022
MT: „Revenue- and Energy-Aware Matching for Multi-Access Edge Computing with Computational Demand Forecasting“, 2021
MT: „Matching-Based Resource Allocation for Ultra-Reliable Communication and Computation in Wireless Networks“, 2021
MT: „Incentive Mechanisms for Content Delivery Over Unlicensed Bands Incorporating Multiple Stakeholders“, 2021
BT: „Risk-sensitive Reinforcement Learning for Multi-Channel Allocation in URLLC“, 2020
MT: „Model Checking Methods for Scheduling in Ultra Reliable Low Latency Communications“, 2020
The Collaborative Research Center (SFB) 1053 “MAKI – Multi-Mechanismen-Adaptation for the Future Internet” is a project funded by the German Research Foundation to provide new mechanisms for future communication systems. The goal is to develop cross-layer mechanisms which adopt to changing conditions during runtime without service interruption.
Member of the subproject B3 “Economics of Adaptation” from June 2019 to 2023.
Elected spokesperson of the research assistants from September 2022 to September 2023.
Since 05/2019: Research associate in the Communications Engineering Lab research group at the TU Darmstadt.
1/2018 – 04/2019: Research assistant in the Visual Inspection Systems group at Fraunhofer IOSB.
04/2017 – 10/2017: Software Engineering Intern at Endress+Hauser Conducta GmbH.
Since 05/2019: Ph.D. student in the Communications Engineering Lab research group at the TU Darmstadt, Germany.
10/2015 – 12/2018: M.Sc. in Electrical Engineering and Information Technology at Karlsruhe Institute of Technology, Germany.
10/2012 – 09/2015: Bachelor of Science in Electrical Engineering and Information Technology at Karlsruhe Institute of Technology, Germany.
We would like to customise the information and usability of this website to your preferences and needs.
To this end, we use so-called cookies. Please choose which cookies you would like to enable when visiting our webpages.
Some of these cookies are required to load and correctly display this website on your device.
These are strictly necessary or essential cookies and cannot be deselected.
The preferences cookie saves your language setting, while the statistics cookie regulates
how the open-source statistical software “Matomo” analyses your visits to and activities on our website.
For more information about cookies we use, please refer to our