Francesc is a research engineer at Nokia Bell Labs. He holds a Ph.D. in Information and Communication Technologies (2020) and an M.Sc. 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”.
Keywords: 5G/6G, Artificial Intelligence, Blockchain, Distributed Ledger Technologies, Federated Learning, IEEE 802.11, Machine Learning, Multi-Agent Multi-Armed Bandits, Wi-Fi, Wireless Networks
Wilhelmi Roca, F., Bellalta, B., Cano Bastidas, C., & Jonsson, A. (2017). Implications of decentralized Q-learning resource allocation in wireless networks. In 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC); 2017 Oct 8-13; Montreal, Canada. Piscataway (NJ): IEEE; 2017.[5 p.]. Institute of Electrical and Electronics Engineers (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). IEEE.
Wilhelmi, F., Barrachina-Muñoz, S., Cano, C., Selinis, I., & Bellalta, B. (2021). Spatial reuse in IEEE 802.11 ax WLANs. Computer Communications.
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., Barrachina-Muñoz, S., & Bellalta, B. (2019, October). On the Performance of the Spatial Reuse Operation in IEEE 802.11 ax WLANs. In 2019 IEEE Conference on Standards for Communications and Networking (CSCN) (pp. 1-6). IEEE.
Wilhelmi, F., Carrascosa, M., Cano, C., Jonsson, A., Ram, V., & Bellalta, B. (2020). Usage of Network Simulators in Machine-Learning-Assisted 5G/6G Networks. arXiv preprint arXiv:2005.08281.
Wilhelmi, F., & Giupponi, L. (2021). Discrete-Time Analysis of Wireless Blockchain Networks.
Wilhelmi, F., & Giupponi, L. (2021). On the Performance of Blockchain-enabled RAN-as-a-service in Beyond 5G Networks.
Giupponi, L., & Wilhelmi, F. (2022). Blockchain-enabled network sharing for O-RAN in 5G and beyond. IEEE Network, 36(4), 218-225.
Poster at 5th EITIC Doctoral Student Workshop, Barcelona, Spain
Conference at PIMRC, Montreal, Canada
Contribution at 1st Meeting of the FG-ML5G, ITU-T, Geneva, Switzerland
Dissemination at Research stay at Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
Contribution at 5th Meeting of the FG-ML5G, ITU-T, Shenzhen, China
Conference at Wireless Days, Manchester, United Kingdom
Conference at Workshop on Next-Generation Wireless with ns-3, Florence, Italy
Contribution at 7th Meeting of the FG-ML5G, ITU-T, Berlin, Germany
Contribution at 9th Meeting of the FG-ML5G, ITU-T, Online
Talk at Foro internacional sobre nuevas tecnologías de la información y comunicación - Universidad Técnica del Norte, Online (Ecuador)
Talk at ITU AI/ML in 5G Challenge, Online
Talk at Thesis defence - Universitat Pompeu Fabra, Online (Spain)
Talk at ITU AI/ML in 5G Challenge, Online
Talk at Keynote AnNet 2021, Online