Francisco Wilhelmi

Biography

Francesc is a research engineer at Nokia Bell Labs. He holds a Ph.D. in Information and Communication Technologies (2020) and an MSc. in Intelligent and Interactive Systems (2016) from Universitat Pompeu Fabra (UPF). Previously, he was a researcher at Centre Tecnològic de Telecomunicacions de Catalunya (CTTC). His main research interests are in Wi-Fi technologies and their evolution, network simulators and network digital twinning, machine learning, decentralized learning, and distributed ledger technologies. In the past, he was also involved in standardization activities within the ITU-T, where he was one of the main editors of recommendation Y.3181 “Architectural framework for Machine Learning Sandbox in future networks including IMT-2020”. In addition, he has organized three problem statements in the ITU AI/ML in 5G Challenge. Regarding education, Francesc was a teaching assistant at the UPF from 2015 to 2020 and course instructor at Universitat Oberta de Catalunya (UOC) from 2020 to 2022, participating in undergraduate and Master courses like “Networks”, “Wireless Multimedia Networks”, “Laboratory Networks”, or “Network and architecture fundamentals”.

Education

PhD in Information and Communication Technology (2020), from Universitat Pompeu Fabra (UPF)
- Honors: mention cum laude.
- Thesis title: Towards Spatial Reuse in Future Wireless Local Area Networks: a Sequential Learning Approach.
- Advisors: Boris Bellalta, PhD., Anders Jonsson, PhD., and Cristina Cano, PhD.
MSc in Intelligent and Interactive Systems (2016), from Universitat Pompeu Fabra (UPF)
- Master Thesis Topic: Multi-Agent Reinforcement Learning Methods to Minimize OBSS Interferences.
- Advisors: Boris Bellalta, PhD. and Anders Jonsson, PhD.
B.S. in Telematics Engineering (2015), from Universitat Pompeu Fabra (UPF).
- Bachelor’s thesis with honors.

Selected Articles and Publications

Wilhelmi, F., Barrachina-Munoz, S., Bellalta, B., Cano, C., Jonsson, A., & Ram, V. (2020). A Flexible Machine-Learning-Aware Architecture for Future WLANs. IEEE Communications Magazine, 58(3), 25-31.
Wilhelmi, F., Carrascosa, M., Cano, C., Jonsson, A., Ram, V., & Bellalta, B. (2020). Usage of Network Simulators in Machine-Learning-Assisted 5G/6G Networks. IEEE Wireless Communications 28.1 (2021): 160-166
Wilhelmi, F., Barrachina-Muñoz, S., Cano, C., Selinis, I., & Bellalta, B. (2021). Spatial reuse in IEEE 802.11 ax WLANs. Computer Communications, 170: 65-83.
Giupponi, L., & Wilhelmi, F. (2022). Blockchain-enabled network sharing for O-RAN in 5G and beyond. IEEE Network, 36(4), 218-225.
Wilhelmi, F., Giupponi, L., & Dini, P. (2022). Analysis and evaluation of synchronous and asynchronous FLchain. Computer Networks, 218, 109390.
Wilhelmi, F., & Giupponi, L. (2021, September). Discrete-time analysis of wireless blockchain networks. In 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) (pp. 1011-1017). IEEE.
Wilhelmi, F., Cano, C., Neu, G., Bellalta, B., Jonsson, A., & Barrachina-Muñoz, S. (2019).
Collaborative Spatial Reuse in Wireless Networks via Selfish Multi-Armed Bandits. Ad Hoc Networks 88 (2019): 129-141.
Wilhelmi, F., Barrachina-Muñoz, S., Bellalta, B., Cano, C., Jonsson, A., & Neu, G. (2019). Potential and pitfalls of multi-armed bandits for decentralized spatial reuse in WLANs. Journal of Network and Computer Applications, 127, 26-42.
Barrachina-Muñoz, S., Wilhelmi, F., Selinis, I., & Bellalta, B. (2019, April). Komondor: a Wireless Network Simulator for Next-Generation High-Density WLANs. In 2019 Wireless Days (WD) (pp. 1-8).

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Francisco Wilhelmi

Biography

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