Add to ORKGAs wireless standards evolve, more complex functionalities are introduced to address the increasing requirements in terms of throughput, latency, security, and efficiency. To unleash the potential of such new features, artificial intelligence (AI) and machine learning (ML) are currently being exploited for deriving models and protocols from data, rather than by hand-programming. In this paper, we explore the feasibility of applying ML in next-generation wireless local area networks (WLANs). More specifically, we focus on the IEEE 802.11ax spatial reuse (SR) problem and predict its performance through federated learning (FL) models. The set of FL solutions overviewed in this work is part of the 2021 International Telecommunication Union (ITU...
International audienceThe latest amendment 802.11ax to the IEEE 802.11 standard, better known by its...
Abstract This white paper discusses various topics, advances, and projections regarding machine lea...
The focus of this white paper is on machine learning (ML) in wireless communications. 6G wireless co...
As wireless standards evolve, more complex functionalities are introduced to address the increasing ...
International audienceTo satisfy the increasing demand for wireless systems capacity, the industry i...
Spatial Reuse (SR) has recently gained attention to maximize the performance of IEEE 802.11 Wireless...
Lots of hopes have been placed on machine learning (ML) as a key enabler of future wireless networks...
This dataset has been created for the problem statement ITU-ML5G-PS-004 of the ITU AI/ML Challenge (...
International audienceDespite representing the prominent means of accessing the Internet, WLANs rema...
With the advent of Artificial Intelligence (AI)-empowered communications, industry, academia, and st...
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant position in pr...
Comunicació presentada al International Conference on Wireless and Mobile Computing, Networking and ...
A Flexible Machine Learning-Aware Architecture for Future WLANs Authors: Francesc Wilhelmi, Sergio ...
International audienceWLANs, which have overtaken wired networks to become the primary means of conn...
International audienceThe latest amendment 802.11ax to the IEEE 802.11 standard, better known by its...
Abstract This white paper discusses various topics, advances, and projections regarding machine lea...
The focus of this white paper is on machine learning (ML) in wireless communications. 6G wireless co...
As wireless standards evolve, more complex functionalities are introduced to address the increasing ...
International audienceTo satisfy the increasing demand for wireless systems capacity, the industry i...
Spatial Reuse (SR) has recently gained attention to maximize the performance of IEEE 802.11 Wireless...
Lots of hopes have been placed on machine learning (ML) as a key enabler of future wireless networks...
This dataset has been created for the problem statement ITU-ML5G-PS-004 of the ITU AI/ML Challenge (...
International audienceDespite representing the prominent means of accessing the Internet, WLANs rema...
With the advent of Artificial Intelligence (AI)-empowered communications, industry, academia, and st...
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant position in pr...
Comunicació presentada al International Conference on Wireless and Mobile Computing, Networking and ...
A Flexible Machine Learning-Aware Architecture for Future WLANs Authors: Francesc Wilhelmi, Sergio ...
International audienceWLANs, which have overtaken wired networks to become the primary means of conn...
International audienceThe latest amendment 802.11ax to the IEEE 802.11 standard, better known by its...
Abstract This white paper discusses various topics, advances, and projections regarding machine lea...
The focus of this white paper is on machine learning (ML) in wireless communications. 6G wireless co...