Staff

Journals

• B. Simon, P. Adrian, P. Weber, P. Felka, O. Hinz, A. Klein, “A Bargaining Approach for Service Placement in Multi-Access Edge Computing with Information Asymmetries”, IEEE Transactions on Mobile Computing, vol. 26, no. 6, pp. 5464-5481, Jun. 2025
• B. Simon, A. Ortiz, W. Saad, A. Klein, “Decentralized Online Learning in Task Assignment Games for Mobile Crowdsensing”, IEEE Transactions on Communications, vol. 72, no. 8, pp. 4945-4960, Aug. 2024
  ArXiv preprint: https://doi.org/10.48550/arXiv.2309.10594
• A. Sterz, R. Klose, M. Sommer, J. Höchst, J. Link, B. Simon, A. Klein, M. Hollick, B. Freisleben, “Energy-Efficient Decentralized Broadcasting in Wireless Multi-Hop Networks”, Sensors 23, https://doi.org/10.3390/s23177419
• 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

Conferences

• B. Simon, L. Wahl, A. Klein, “A Socio-Technical Approach to Capacity Maximization for Device-to-Device Relay Selection”, 2025, IEEE International Conference on Communications (ICC), Montreal, Kanada, Accepted for publication
• S. Dongare, B. Simon, A. Ortiz, A. Klein, „Two-Sided Learning: A Techno-Economic View of Mobile Crowdsensing under Incomplete Information“ in IEEE International Conference on Communications (ICC), Denver, Colorado, Jun. 2024 (Accepted)
• A. Sterz, R. Klose, M. Sommer, J. Höchst, J. Link, B. Simon, A. Klein, M. Hollick, Bernd Freisleben „Energy-Efficient Broadcast Trees for Decentralized Data Dissemination in Wireless Networks“, In 48th IEEE Conference on Local Computer Networks (LCN) (Accepted)
• M. Chehimi, B. Simon, W. Saad, A. Klein, D. Towsley, M. Debbah „Matching Game for Optimized Association in Quantum Communication Networks“, IEEE Global Communications Conference (GLOBECOM) Dec. 2023, Kuala Lumpur, Malaysia, Preprint available at: https://doi.org/10.48550/arXiv.2305.12682 (opens in new tab)
• 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-Aware Profit Maximization for Service Placement in Multi-Access Edge Computing“, 2025
• 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
• BT: „Cost- and Context-Aware Service Placement in Multi-Access Edge Computing“, 2021
• 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

• SoSe25: Fundamentals of Reinforcement Learning -- Exercise
• SoSe24: Fundamentals of Reinforcement Learning -- Exercise
• WS22/23: Kommunikationstechnik 1 -- Exercise
• WS21/22: Kommunikationstechnik 1 -- Exercise
• WS20/21: Communication Technology II -- Exercise
• WS19/20: Communication Technology II -- Exercise

DFG SFB 1053 – MAKI:

• 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.

Work Experience:

• 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.

Education:

• 03/2023 – 06/2023: Research stay at the Virginia Tech in the group NEWS@VT of Prof. Walid Saad.
• 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.