173 citations · 248 across the 16 of their papers we have counts for
19 papers
IEEE 802.11bx - WLAN Intelligent Networking (WIN): Toward an AI-Ready Wi-Fi 9
Francesc Wilhelmi, Katarzyna Kosek-Szott, Szymon Szott +1
Wi-Fi 9 is expected to go beyond mere communication and provide new services such as sensing or computation. At this juncture, Artificial Intelligence (AI) is taking a leading role…
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…
Direction-Dependent Path Loss Modeling in Olive Orchards for Precision Agriculture
Mohammad Rowhani Sistani, Katarzyna Kosek-Szott, Pierluigi Gallo
Wireless links deployed in orchards often exhibit significant variability in the strength of the received signal that is not adequately captured by classical distance-based propaga…
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…
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…
Coordinated Multi-Armed Bandits for Improved Spatial Reuse in Wi-Fi
Francesc Wilhelmi, Boris Bellalta, Szymon Szott +2
Multi-Access Point Coordination (MAPC) and Artificial Intelligence and Machine Learning (AI/ML) are expected to be key features in future Wi-Fi, such as the forthcoming IEEE 802.11…
Towards an AI/ML-defined Radio for Wi-Fi: Overview, Challenges, and Roadmap
Boris Bellalta, Katarzyna Kosek-Szott, Szymon Szott +1
Will AI/ML-defined radios become a reality in the near future? In this paper, we introduce the concept of an AI/ML-defined radio - a radio architecture specifically designed to sup…
Machine Learning & Wi-Fi: Unveiling the Path Towards AI/ML-Native IEEE 802.11 Networks
Francesc Wilhelmi, Szymon Szott, Katarzyna Kosek-Szott +1
Artificial intelligence (AI) and machine learning (ML) are nowadays mature technologies considered essential for driving the evolution of future communications systems. Simultaneou…
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…
Wi-Fi Meets ML: A Survey on Improving IEEE 802.11 Performance with Machine Learning
Szymon Szott, Katarzyna Kosek-Szott, Piotr Gawłowicz +4
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant position in providing Internet access thanks to their freedom of deployment and configuration…
Downlink channel access performance of NR-U: Impact of numerology and mini-slots on coexistence with Wi-Fi in the 5 GHz band
Katarzyna Kosek-Szott, Alice Lo Valvo, Szymon Szott +2
Coexistence between cellular systems and Wi-Fi gained the attention of the research community when LTE License Assisted Access (LAA) entered the unlicensed band. The recent introdu…
Impact of LTE's Periodic Interference on Heterogeneous Wi-Fi Transmissions
Ilenia Tinnirello, Pierluigi Gallo, Szymon Szott +1
The problem of Wi-Fi and LTE coexistence has been significantly debated in the last years, with the emergence of LTE extensions enabling the utilization of unlicensed spectrum for…
Improving DL-MU-MIMO Performance in IEEE 802.11ac Networks through Decoupled Scheduling
Katarzyna Kosek-Szott
The IEEE 802.11ac standard introduces new downlink multi-user MIMO (DL-MU-MIMO) transmissions to up to four users in order to increase spatial reuse in wireless local area networks…
AP-initiated Multi-User Transmissions in IEEE 802.11ax WLANs
Boris Bellalta, Katarzyna Kosek-Szott
Next-generation 802.11ax WLANs will make extensive use of multi-user communications in both downlink (DL) and uplink (UL) directions to achieve high and efficient spectrum utilizat…