collaborators

10 papers

cs.NI2026

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).…

cs.NI2026

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…

cs.NI2025

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…

cs.NI2025

Learning-Based Channel Access in Wi-Fi: A Multi-Armed Bandit Approach

Miguel Casasnovas, Francesc Wilhelmi, Richard Combes +6

Due to its static protocol design, IEEE 802.11 (aka Wi-Fi) channel access lacks adaptability to address dynamic network conditions, resulting in inefficient spectrum utilization, u…

cs.NI2025

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…

cs.NI2025

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…