activity
20172026
most citedPotential and Pitfalls of Multi-Armed Bandits for Decentralized Spatial Reuse in WLANs

55 citations · 64 across the 21 of their papers we have counts for

collaborators

33 papers

cs.NI2026

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…

cs.NI2026

Kom8ndor: An IEEE 802.11bn-Oriented Simulator for Wi-Fi 8 and Beyond

Francesc Wilhelmi, Sergio Barrachina-Muñoz, Boris Bellalta

The upcoming IEEE 802.11bn amendment marks a paradigm shift in Wi-Fi, which will pose ambitious performance targets under the paradigm of Ultra-High Reliability (UHR). To understan…

cs.NI2026

Decentralized Spatial Reuse Optimization in Wi-Fi: An Internal Regret Minimization Approach

Francesc Wilhelmi, Boris Bellalta, Miguel Casasnovas +2

Spatial Reuse (SR) is a cost-effective technique for improving spectral efficiency in dense IEEE 802.11 deployments by enabling simultaneous transmissions. However, the decentraliz…

cs.NI2026

Evaluating Wi-Fi Performance for VR Streaming: A Study on Realistic HEVC Video Traffic

Ferran Maura, Francesc Wilhelmi, Boris Bellalta

Cloud-based Virtual Reality (VR) streaming presents significant challenges for 802.11 networks due to its high throughput and low latency requirements. When multiple VR users share…

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

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…

cs.NI2025

Improving Wi-Fi 8 Latency with Coordinated Spatial Reuse

David Nunez, Francesc Wilhelmi, Lorenzo Galati-Giordano +2

IEEE 802.11 networks continuously adapt to meet the stringent requirements of emerging applications like cloud gaming, eXtended Reality (XR), and video streaming services, which re…

cs.NI2025★ 1 cited

Wi-Fi: Twenty-Five Years and Counting

Giovanni Geraci, Francesca Meneghello, Francesc Wilhelmi +7

Today, Wi-Fi is over 25 years old. Yet, despite sharing the same branding name, today's Wi-Fi boasts entirely new capabilities that were not even on the roadmap 25 years ago. This…

cs.NI2025

Modelling and Performance Analysis of Non-Primary Channel Access in Wi-Fi Networks

Boris Bellalta, Francesc Wilhelmi, Lorenzo Galati-Giordano +1

This paper aims to improve our understanding of the performance of the Non-Primary Channel Access (NPCA) mechanism, a new feature introduced in IEEE 802.11bn to enhance spectrum ut…

cs.NI2025

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…

cs.LG2024★ 1 cited

Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting

Nikolaos Pavlidis, Vasileios Perifanis, Selim F. Yilmaz +6

The increasing demand for efficient resource allocation in mobile networks has catalyzed the exploration of innovative solutions that could enhance the task of real-time cellular t…

cs.NI2024

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…

cs.NI2024

Performance Evaluation of MLO for XR Streaming: Can Wi-Fi 7 Meet the Expectations?

Marc Carrascosa-Zamacois, Lorenzo Galati-Giordano, Francesc Wilhelmi +4

Extended Reality (XR) has stringent throughput and delay requirements that are hard to meet with current wireless technologies. Missing these requirements can lead to worsened pict…

cs.NI2024

Spatial Reuse in IEEE 802.11bn Coordinated Multi-AP WLANs: A Throughput Analysis

David Nunez, Francesc Wilhelmi, Lorenzo Galati-Giordano +2

IEEE 802.11 networks continuously adapt to meet the stringent requirements of emerging applications like cloud gaming, eXtended Reality (XR), and video streaming services, which re…

cs.NI2024

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…

cs.NI2024★ 2 cited

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…

cs.NI2023

Throughput Analysis of IEEE 802.11bn Coordinated Spatial Reuse

Francesc Wilhelmi, Lorenzo Galati-Giordano, Giovanni Geraci +3

Multi-Access Point Coordination (MAPC) is becoming the cornerstone of the IEEE 802.11bn amendment, alias Wi-Fi 8. Among the MAPC features, Coordinated Spatial Reuse (C-SR) stands a…

cs.LG2022

The Cost of Training Machine Learning Models over Distributed Data Sources

Elia Guerra, Francesc Wilhelmi, Marco Miozzo +1

Federated learning is one of the most appealing alternatives to the standard centralized learning paradigm, allowing a heterogeneous set of devices to train a machine learning mode…

cs.NI2022

Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs

Francesc Wilhelmi, Jernej Hribar, Selim F. Yilmaz +10

As wireless standards evolve, more complex functionalities are introduced to address the increasing requirements in terms of throughput, latency, security, and efficiency. To unlea…

cs.NI2022★ 3 cited

End-to-End Latency Analysis and Optimal Block Size of Proof-of-Work Blockchain Applications

Francesc Wilhelmi, Sergio Barrachina-Muñoz, Paolo Dini

Due to the increasing interest in blockchain technology for fostering secure, auditable, decentralized applications, a set of challenges associated with this technology need to be…

cs.NI2021

Machine Learning for Performance Prediction of Channel Bonding in Next-Generation IEEE 802.11 WLANs

Francesc Wilhelmi, David Góez, Paola Soto +8

With the advent of Artificial Intelligence (AI)-empowered communications, industry, academia, and standardization organizations are progressing on the definition of mechanisms and…

cs.NI2020

Usage of Network Simulators in Machine-Learning-Assisted 5G/6G Networks

Francesc Wilhelmi, Marc Carrascosa, Cristina Cano +3

Without any doubt, Machine Learning (ML) will be an important driver of future communications due to its foreseen performance when applied to complex problems. However, the applica…

cs.NI2019

A Flexible Machine Learning-Aware Architecture for Future WLANs

Francesc Wilhelmi, Sergio Barrachina-Muñoz, Boris Bellalta +3

Lots of hopes have been placed on Machine Learning (ML) as a key enabler of future wireless networks. By taking advantage of large volumes of data, ML is expected to deal with the…

cs.NI2019

Spatial Reuse in IEEE 802.11ax WLANs

Francesc Wilhelmi, Sergio Barrachina Muñoz, Cristina Cano +2

Dealing with massively crowded scenarios is one of the most ambitious goals of next-generation wireless networks. With this goal in mind, the IEEE 802.11ax amendment includes, amon…