12 citations · 21 across the 9 of their papers we have counts for
11 papers
FM4WiFi: Flow Matching for Multi-AP Coordination in Dense Deployments of Beyond Wi-Fi 8 Networks
Maksymilian Wojnar, Krzysztof Rusek, Katarzyna Kosek-Szott +1
Wi-Fi networks are moving beyond random channel access toward tightly coordinated operation across access points (APs), a shift reflected in Wi-Fi 8's multi-AP coordination (MAPC).…
KISS: Keeping it Simple and Slotted when Learning to Communicate over Wireless
Kamil Szczech, Maksymilian Wojnar, Krzysztof Rusek +2
A long-standing challenge in distributed wireless systems is ensuring efficient and fair random channel access. Existing solutions often address specific constraints related to tim…
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…
IEEE 802.11bn Multi-AP Coordinated Spatial Reuse with Hierarchical Multi-Armed Bandits
Maksymilian Wojnar, Wojciech Ciezobka, Katarzyna Kosek-Szott +4
Coordination among multiple access points (APs) is integral to IEEE 802.11bn (Wi-Fi 8) for managing contention in dense networks. This letter explores the benefits of Coordinated S…
Applying generative neural networks for fast simulations of the ALICE (CERN) experiment
Maksymilian Wojnar
This thesis investigates the application of state-of-the-art advances in generative neural networks for fast simulation of the Zero Degree Calorimeter (ZDC) neutron detector in the…
FTMRate: Collision-Immune Distance-based Data Rate Selection for IEEE 802.11 Networks
Wojciech Ciezobka, Maksymilian Wojnar, Katarzyna Kosek-Szott +2
Data rate selection algorithms for Wi-Fi devices are an important area of research because they directly impact performance. Most of the proposals are based on measuring the transm…