2026

[pdf] Wilhelmi, F., Bellalta, B., Casasnovas, M., Kijanka, A., & Calvo-Fullana, M. (2026). Decentralized Spatial Reuse Optimization in Wi-Fi: An Internal Regret Minimization Approach.

[pdf] Geraci, G., Meneghello, F., Wilhelmi, F., Lopez-Perez, D., Val, I., Giordano, L. G., ... & Bellalta, B. (2026). Wi-Fi: Twenty-five years and counting. Proceedings of the IEEE.

[pdf] Pulido, J., Wilhelmi, F., Fortes, S., Fernández-Durán, A., Giordano, L. G., & Barco, R. (2026). Studying the Role of Synthetic Data for Machine Learning-based Wireless Networks Traffic Forecasting. arXiv preprint arXiv:2601.07646.

[pdf] Chiavassa, P., Scanzio, S., Cena, G., Wilhelmi, F., & Bellalta, B. (2026). WifiRoam: An open-source simulator to optimize Wi-Fi handover in industrial networks.

2025

[pdfWilhelmi, F., Bellalta, B., Szott, S., Kosek-Szott, K., & Barrachina-Muñoz, S. (2025). Coordinated Multi-Armed Bandits for Improved Spatial Reuse in Wi-Fi. arXiv preprint arXiv:2412.03076

[pdf] Wilhelmi, F., Galati-Giordano, L., & Fontanesi, G. (2025). "It's Your Turn": A Novel Channel Contention Mechanism for Improving Wi-Fi's Reliability. arXiv preprint arXiv:2410.07874

[pdf] Nunez, D., Wilhelmi, F., Wojnar, M., Kosek-Szott, K., Szott, S., & Bellalta, B. (2025). Deep Reinforcement Learning-Based Scheduling for Wi-Fi Multi-Access Point Coordination. arXiv preprint arXiv:2507.19377.

[pdf] Casasnovas, M., Wilhelmi, F., Combes, R., Wojnar, M., Kosek-Szott, K., Szott, S., ... & Bellalta, B. (2025). Performance Evaluation of Multi-Armed Bandit Algorithms for Wi-Fi Channel Access. arXiv preprint arXiv:2511.23352.

[pdf] Casasnovas, M., Wilhelmi, F., Combes, R., Wojnar, M., Kosek-Szott, K., Szott, S., ... & Bellalta, B. (2025). Learning-Based Channel Access in Wi-Fi: A Multi-Armed Bandit Approach. arXiv preprint arXiv:2511.10143.

[pdf] Bellalta, B., Wilhelmi, F., Giordano, L. G., & Geraci, G. (2025). Modelling and performance analysis of non-primary channel access in Wi-Fi networks. IEEE Open Journal of the Communications Society.

[pdf] Nunez, D., Wilhelmi, F., Galati-Giordano, L., Geraci, G., & Bellalta, B. (2025). Improving Wi-Fi 8 Latency with Coordinated Spatial Reuse. IEEE Communications Standards Magazine.

[pdf] Maura, F., Wilhelmi, F., & Bellalta, B. (2025, November). Evaluating Wi-Fi Performance for VR Streaming: A Study on Realistic HEVC Video Traffic. In 2025 14th IFIP/IEEE International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN) (pp. 1-7). IEEE.

[pdf] Carrascosa-Zamacois, M., Galati-Giordano, L., Wilhelmi, F., Fontanesi, G., Jonsson, A., Geraci, G., & Bellalta, B. (2025). XR Streaming Performance With Wi-Fi 7 Multi-Link Operation. IEEE Open Journal of the Communications Society, 6, 6477-6490.

[pdf] Mozaffariahrar, E., Wilhelmi, F., Galati-Giordano, L., Imputato, P., Menth, M., & Avallone, S. (2025, September). R-TWT in Wi-Fi 7 and Beyond: Enabling Bounded Latency, Energy Efficiency, and Reliability. In 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA) (pp. 1-8). IEEE.

[pdf] Zeydan, E., Turk, Y., Hewa, T., Liyanage, M., Aydeger, A., Wilhelmi, F., & Blanco, L. (2025, September). Network Slicing for Industrial Automated Services. In 2025 IEEE Conference on Standards for Communications and Networking (CSCN) (pp. 1-6). IEEE.

[pdf] Zeydan, E., Turk, Y., Hewa, T., Liyanage, M., Aydeger, A., Wilhelmi, F., & Blanco, L. (2025, September). Network Slicing in the IIoT Era: Architectures, Blueprints, and Tooling Ecosystem. In 2025 IEEE Conference on Standards for Communications and Networking (CSCN) (pp. 1-6). IEEE.

2024

[pdfWilhelmi, F., Szott, S., Kosek-Szott, K., & Bellalta, B. (2024). Machine Learning & Wi-Fi: Unveiling the Path Towards AI/ML-Native IEEE 802.11 Networks. arXiv preprint arXiv:2405.11504

[pdf] Bellalta, B., Kosek-Szott, K., Szott, S., & Wilhelmi, F. (2024). Towards an AI/ML-defined Radio for Wi-Fi: Overview, Challenges, and Roadmap. arXiv preprint arXiv:2405.12675

[pdf] Wilhelmi, F., Baracca, P., Fontanesi, G., & Galati-Giordano, L. (2024). ConPA: A Contention-free Mechanism with Power Adaptation for Beyond Listen-Before-Talk. arXiv preprint arXiv:2402.14667.

[pdf] Salami, D., Wilhelmi, F., Galati-Giordano, L., & Kasslin, M. (2024). Distributed Learning for Wi-Fi AP Load Prediction. arXiv preprint arXiv:2405.05140.

[pdfWilhelmi, F., Salami, D., Fontanesi, G., Galati-Giordano, L., & Kasslin, M. (2024, May). AI/ML-based Load Prediction in IEEE 802.11 Enterprise Networks. In 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN) (pp. 50-55). IEEE.

[pdf] Nunez, D., Wilhelmi, F., Galati-Giordano, L., Geraci, G., & Bellalta, B. (2024, November). Spatial Reuse in IEEE 802.11 bn Coordinated Multi-AP WLANs: A Throughput Analysis. In 2024 IEEE Conference on Standards for Communications and Networking (CSCN) (pp. 265-270). IEEE.

[pdf] Pavlidis, N., Perifanis, V., Yilmaz, S. F., Wilhelmi, F., Miozzo, M., Efraimidis, P. S., ... & Dini, P. (2024). Federated learning in mobile networks: A comprehensive case study on traffic forecastingIEEE Transactions on Sustainable Computing

[pdf] Fontanesi, G., Wilhelmi, F., & Giordano, L. G. (2024, September). Continuous Multi-Link Operation: A Contention-Free Mechanism for the Unlicensed Spectrum. In 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) (pp. 766-770). IEEE.

[pdf] Carrascosa-Zamacois, M., Galati-Giordano, L., Wilhelmi, F., Fontanesi, G., Jonsson, A., Geraci, G., & Bellalta, B. (2024). Performance Evaluation of MLO for XR Streaming: Can Wi-Fi 7 Meet the Expectations?. arXiv preprint arXiv:2407.05802. 

[pdfWilhelmi, F., Afraz, N., Guerra, E., & Dini, P. (2024). The implications of decentralization in blockchained federated learning: Evaluating the impact of model staleness and inconsistencies. Computer Networks245, 110361.

2023

[pdf] Wilhelmi, F., Galati-Giordano, L., Geraci, G., Bellalta, B., Fontanesi, G., & Nuñez, D. (2023). Throughput Analysis of IEEE 802.11 bn Coordinated Spatial Reuse. In 2023 IEEE Conference on Standards for Communications and Networking (CSCN) (pp. 401-407). IEEE.

[pdf] Perifanis, V., Pavlidis, N., Yilmaz, S. F., Wilhelmi, F., Guerra, E., Miozzo, M., ... & Koutsiamanis, R. A. (2023). Towards energy-aware federated traffic prediction for cellular networks. In 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC) (pp. 93-100). IEEE.

[pdf] Afraz, N., Wilhelmi, F., Ahmadi, H., & Ruffini, M. (2023). Blockchain and smart contracts for telecommunications: Requirements vs. cost analysis. IEEE Access.

[pdf] Wilhelmi, F., Guerra, E., & Dini, P. (2023, June). On the decentralization of blockchain-enabled asynchronous federated learning. In 2023 IEEE 9th International Conference on Network Softwarization (NetSoft) (pp. 408-413). IEEE.

[pdf] Guerra, E., Wilhelmi, F., Miozzo, M., & Dini, P. (2023). The cost of training machine learning models over distributed data sources. IEEE Open Journal of the Communications Society4, 1111-1126.

2022

[pdf] Giupponi, L., & Wilhelmi, F. (2022). Blockchain-enabled network sharing for O-RAN in 5G and beyond. IEEE Network, 36(4), 218-225.

[pdf] Wilhelmi, F., Giupponi, L., & Dini, P. (2022). Analysis and evaluation of synchronous and asynchronous FLchain. Computer Networks, 218, 109390.

[pdf] Wilhelmi, F., Barrachina-Muñoz, S., & Dini, P. (2022). End-to-end latency analysis and optimal block size of proof-of-work blockchain applications. IEEE Communications Letters26(10), 2332-2335.

[pdfWilhelmi, F., Hribar, J., Yilmaz, S. F., Ozfatura, E., Ozfatura, K., Yildiz, O., ... & Bellalta, B. (2022). Federated spatial reuse optimization in next-generation Decentralized IEEE 802.11 WLANs. arXiv preprint arXiv:2203.10472.

[pdf] Nunez, D., Wilhelmi, F., Avallone, S., Smith, M., & Bellalta, B. (2022, January). TXOP sharing with coordinated spatial reuse in multi-AP cooperative IEEE 802.11 be WLANs. In 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) (pp. 864-870). IEEE.

2021

[pdfWilhelmi, F., Barrachina-Muñoz, S., Cano, C., Selinis, I., & Bellalta, B. (2021). Spatial reuse in IEEE 802.11 ax WLANs. Computer Communications, 170: 65-83.

[pdfWilhelmi, F., Carrascosa, M., Cano, C., Jonsson, A., Ram, V., & Bellalta, B. (2021). Usage of network simulators in machine-learning-assisted 5G/6G networks. IEEE Wireless Communications28(1), 160-166.

[pdfWilhelmi, 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.

[pdfWilhelmi, F., & Giupponi, L. (2021, December). On the performance of blockchain-enabled RAN-as-a-service in beyond 5G networks. In 2021 IEEE Global Communications Conference (GLOBECOM) (pp. 01-06). IEEE.

[pdf] Soto, P., Camelo, M., Mets, K., Wilhelmi, F., Góez, D., Fletscher, L. A., ... & Latré, S. (2021). ATARI: A graph convolutional neural network approach for performance prediction in next-generation WLANs. Sensors, 21(13), 4321.

[pdfWilhelmi, F., Góez, D., Soto, P., Vallés, R., Alfaifi, M., Algunayah, A., ... & Bellalta, B. (2021). Machine learning for performance prediction of channel bonding in next-generation IEEE 802.11 WLANs. arXiv preprint arXiv:2105.14219.

2020

[pdfWilhelmi, 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.

2019

[pdfWilhelmi, 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.

[pdfWilhelmi, 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.

[pdf] [github] 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).

[pdf] Barrachina-Munoz, S., Wilhelmi, F., & Bellalta, B. (2019). Dynamic channel bonding in spatially distributed high-density WLANs. IEEE Transactions on Mobile Computing19(4), 821-835.

[pdf] Barrachina-Munoz, S., Wilhelmi, F., & Bellalta, B. (2019). To overlap or not to overlap: Enabling channel bonding in high-density WLANs. Computer Networks, 152, 40-53.

[pdf] 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.

[pdf] Barrachina-Muñoz, S., Wilhelmi, F., & Bellalta, B. (2019). Online primary channel selection for dynamic channel bonding in high-density WLANs. IEEE Wireless Communications Letters9(2), 258-262.

2018

[pdf] López-Raventós, Á., Wilhelmi, F., Barrachina-Muñoz, S., & Bellalta, B. (2019, October). Combining software defined networks and machine learning to enable self organizing wlans. In 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (pp. 1-8). IEEE.

2017

[pdf] Wilhelmi, F., Bellalta, B., Cano, C., & Jonsson, A. (2017, October). 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) (pp. 1-5). IEEE.