8 papers
TESLA: Taylor Expansion of Sinusoidal Learnable Activations
Daehwa Ko, Jaehyeon Kim, Seunghyun Ham +1
The parity problem--deciding whether the number of ones in a binary vector is odd or even--remains challenging for standard neural networks due to linear inseparability and the nee…
Can Machine Learning Break Wi-Fi Privacy? A Study on MAC Address Randomization
Marta Puig, Costas Michaelides, Lucia Pintor +2
Medium Access Control (MAC) address randomization has been widely adopted during the IEEE 802.11 network discovery phase as a countermeasure against passive tracking. This paper ex…
BRAVR: An AP-Assisted Online DRL Mechanism for Interactive VR Bitrate Adaptation over Wi-Fi
Miguel Casasnovas, Francesc Wilhelmi, Boris Bellalta
Interactive virtual reality (VR) streaming over Wi-Fi requires stringent latency and reliability guarantees, which become increasingly difficult to achieve under dynamic channel co…
A Tutorial on IEEE 802.11bn Multi-AP Coordination for Wi-Fi 8: From Standardization to Performance Evaluation
Francesc Wilhelmi, Boris Bellalta, Giovanni Geraci +5
The IEEE 802.11bn amendment defines significant modifications to the standard by establishing Ultra High Reliability (UHR) targets in Wireless Local Area Networks (WLANs). This is…
Studying the Role of Synthetic Data for Machine Learning-based Wireless Networks Traffic Forecasting
José Pulido, Francesc Wilhelmi, Sergio Fortes +3
Synthetic data generation is an appealing tool for augmenting and enriching datasets, playing a crucial role in advancing artificial intelligence (AI) and machine learning (ML). No…
"It's Your Turn": A Novel Channel Contention Mechanism for Improving Wi-Fi's Reliability
Francesc Wilhelmi, Lorenzo Galati-Giordano, Gianluca Fontanesi
The next generation of Wi-Fi, i.e., the IEEE 802.11bn (aka Wi-Fi 8), is not only expected to increase its performance and provide extended capabilities but also aims to offer a rel…