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 as well as the existence of affordable and highly interoperable devices. The Wi-Fi community is currently deploying Wi-Fi 6 and developing Wi-Fi 7, which will bring higher data rates, better multi-user and multi-AP support, and, most importantly, improved configuration flexibility. These technical innovations, including the plethora of configuration parameters, are making next-generation WLANs exceedingly complex as the dependencies between parameters and their joint optimization usually have a non-linear impact on network performance. The complexity is further in...
Machine learning and data driven approaches have recently received much attention as a key enabler f...
Device mobility in dense Wi-Fi networks offers several challenges. Two well-known problems related t...
Techniques are provided for associating similar devices and environments together so they can be eff...
The focus of this white paper is on machine learning (ML) in wireless communications. 6G wireless co...
A Flexible Machine Learning-Aware Architecture for Future WLANs Authors: Francesc Wilhelmi, Sergio ...
Abstract This white paper discusses various topics, advances, and projections regarding machine lea...
Lots of hopes have been placed on machine learning (ML) as a key enabler of future wireless networks...
This paper presents a systematic and comprehensive survey that reviews the latest research efforts f...
This white paper discusses various topics, advances, and projections regarding machine learning (ML)...
With the advent of Artificial Intelligence (AI)-empowered communications, industry, academia, and st...
Wireless networks have drastically influenced our lifestyle, changing our workplaces and society. Am...
As wireless standards evolve, more complex functionalities are introduced to address the increasing ...
As wireless standards evolve, more complex functionalities are introduced to address the increasing ...
IEEE 802.11 (Wi-Fi) is one of the technologies that provides high performance with a high density of...
Wi-Fi® 8 envisions machine learning (ML) -based techniques (among others) to provide better predicta...
Machine learning and data driven approaches have recently received much attention as a key enabler f...
Device mobility in dense Wi-Fi networks offers several challenges. Two well-known problems related t...
Techniques are provided for associating similar devices and environments together so they can be eff...
The focus of this white paper is on machine learning (ML) in wireless communications. 6G wireless co...
A Flexible Machine Learning-Aware Architecture for Future WLANs Authors: Francesc Wilhelmi, Sergio ...
Abstract This white paper discusses various topics, advances, and projections regarding machine lea...
Lots of hopes have been placed on machine learning (ML) as a key enabler of future wireless networks...
This paper presents a systematic and comprehensive survey that reviews the latest research efforts f...
This white paper discusses various topics, advances, and projections regarding machine learning (ML)...
With the advent of Artificial Intelligence (AI)-empowered communications, industry, academia, and st...
Wireless networks have drastically influenced our lifestyle, changing our workplaces and society. Am...
As wireless standards evolve, more complex functionalities are introduced to address the increasing ...
As wireless standards evolve, more complex functionalities are introduced to address the increasing ...
IEEE 802.11 (Wi-Fi) is one of the technologies that provides high performance with a high density of...
Wi-Fi® 8 envisions machine learning (ML) -based techniques (among others) to provide better predicta...
Machine learning and data driven approaches have recently received much attention as a key enabler f...
Device mobility in dense Wi-Fi networks offers several challenges. Two well-known problems related t...
Techniques are provided for associating similar devices and environments together so they can be eff...