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 …

The most well‐known sort of remote Internet connection is wireless local area networks
(WLANs) due to its unsophisticated operation and deployment. Subsequently, the quantity of …

Predicting the throughput of WLAN deployments is a classic problem that occurs in the
design of robust and high performance WLAN systems. However, due to the increasingly …

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

Managing WLANs efficiently while optimizing performance remains a challenge. This article
proposes an innovative approach that utilizes the strengths of Software-Defined Networking …

Abstract Next-generation IEEE 802.11 WLANs when deployed in dense environments and
complex situations, the throughput achieved is much lower than the estimated values due to …

With the growing adaptation of Wi-Fi and the increased possibilities of complementing it with
5G, there is a need to exploit the fullest potential of the IEEE 802.11 ac/ax and higher …

The growing number of Wi-Fi users and the emergence of bandwidth-intensive services
have necessitated an increase in Access Point (AP) density, resulting in more complex …

In high-dense deployment of WLANs with very high throughputs in environments like malls,
stadiums, colleges, etc., the throughput achieved by next-generation IEEE 802.11 WLANs is …

On-device Machine Learning (on-deviceML) is the concept of bringing Machine Learning
models to the constraint device itself and making it smarter. Tiny Machine Learning (TinyML) …