Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning

S Szott, K Kosek-Szott, P Gawłowicz… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
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 …

MDG: measurement-driven guidelines for 802.11 WLAN design

I Broustis, K Papagiannaki, SV Krishnamurthy… - Proceedings of the 13th …, 2007 - dl.acm.org
Dense deployments of WLANs suffer from increased interference and as a result, reduced
capacity. There are three main functions used to improve the overall network capacity: a) …

DeepWiPHY: Deep learning-based receiver design and dataset for IEEE 802.11 ax systems

Y Zhang, A Doshi, R Liston, W Tan… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
In this work, we develop DeepWiPHY, a deep learning-based architecture to replace the
channel estimation, common phase error (CPE) correction, sampling rate offset (SRO) …

IEEE 802.11 ax: Challenges and requirements for future high efficiency WiFi

MS Afaqui, E Garcia-Villegas… - IEEE wireless …, 2016 - ieeexplore.ieee.org
The popularity of IEEE 802.11 based wireless local area networks (WLANs) has increased
significantly in recent years because of their ability to provide increased mobility, flexibility …

Intelligent channel bonding in 802.11 n WLANs

L Deek, E Garcia-Villegas, E Belding… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
The IEEE 802.11 n standard defines channel bonding that allows wireless devices to
operate on 40 MHz channels by doubling their bandwidth from standard 20 MHz channels …

Next generation IEEE 802.11 Wireless Local Area Networks: Current status, future directions and open challenges

B Bellalta, L Bononi, R Bruno, A Kassler - Computer Communications, 2016 - Elsevier
A new generation of Wireless Local Area Networks (WLANs) will make its appearance in the
market in the forthcoming years based on the amendments to the IEEE 802.11 standards …

Contention window optimization in IEEE 802.11 ax networks with deep reinforcement learning

W Wydmański, S Szott - 2021 IEEE wireless communications …, 2021 - ieeexplore.ieee.org
The proper setting of contention window (CW) values has a significant impact on the
efficiency of Wi-Fi networks. Unfortunately, the standard method used by 802.11 networks is …

Multi-link operation in IEEE 802.11 be WLANs

A López-Raventós, B Bellalta - IEEE Wireless Communications, 2022 - ieeexplore.ieee.org
The multi-link operation (MLO) is a new feature proposed to be part of the IEEE 802.11 be
Extremely High Throughput (EHT) amendment. Such feature represents a paradigm shift …

AI-enabled future wireless networks: Challenges, opportunities, and open issues

M Elsayed, M Erol-Kantarci - IEEE Vehicular Technology …, 2019 - ieeexplore.ieee.org
An expected plethora of demanding services and use cases mandates a revolutionary shift
in the way future wireless network resources are managed. Indeed, when application …

IEEE 802.11 ax: High-efficiency WLANs

B Bellalta - IEEE wireless communications, 2016 - ieeexplore.ieee.org
IEEE 802.11 ax-2019 will replace both IEEE 802.11 n-2009 and IEEE 802.11 ac-2013 as the
next high-throughput WLAN amendment. In this article, we review the expected future WLAN …