7 papers
Performance Evaluation of Multi-Armed Bandit Algorithms for Wi-Fi Channel Access
Miguel Casasnovas, Francesc Wilhelmi, Richard Combes +6
The adoption of dynamic, self-learning solutions for real-time wireless network optimization has recently gained significant attention due to the limited adaptability of existing p…
Indoor Positioning with Wi-Fi Location: A Survey of IEEE 802.11mc/az/bk Fine Timing Measurement Research
Katarzyna Kosek-Szott, Szymon Szott, Wojciech Ciezobka +3
Indoor positioning is an enabling technology for home, office, and industrial network users because it provides numerous information and communication technology (ICT) and Internet…
Deep Reinforcement Learning-Based Scheduling for Wi-Fi Multi-Access Point Coordination
David Nunez, Francesc Wilhelmi, Maksymilian Wojnar +3
Multi-access point coordination (MAPC) is a key feature of IEEE 802.11bn, with a potential impact on future Wi-Fi networks. MAPC enables joint scheduling decisions across multiple…
Even Faster Simulations with Flow Matching: A Study of Zero Degree Calorimeter Responses
Maksymilian Wojnar
Recent advances in generative neural networks, particularly flow matching (FM), have enabled the generation of high-fidelity samples while significantly reducing computational cost…
Coordinated Spatial Reuse Scheduling With Machine Learning in IEEE 802.11 MAPC Networks
Maksymilian Wojnar, Wojciech Ciężobka, Artur Tomaszewski +9
The densification of Wi-Fi deployments means that fully distributed random channel access is no longer sufficient for high and predictable performance. Therefore, the upcoming IEEE…
Towards Specialized Wireless Networks Using an ML-Driven Radio Interface
Kamil Szczech, Maksymilian Wojnar, Katarzyna Kosek-Szott +8
Future wireless networks will need to support diverse applications (such as extended reality), scenarios (such as fully automated industries), and technological advances (such as t…