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 …

[HTML][HTML] A survey of Wi-Fi 6: Technologies, advances, and challenges

E Mozaffariahrar, F Theoleyre, M Menth - Future Internet, 2022 - mdpi.com
Wi-Fi is a popular wireless technology and is continuously extended to keep pace with
requirements such as high throughput, real-time communication, dense networks, or …

Spectral efficiency analysis for massive MIMO system under QoS constraint: an effective capacity perspective

L Chen, L Zhang - Mobile Networks and Applications, 2021 - Springer
In massive multiple-input multiple-output (MIMO) systems, dozens of mobile users can
simultaneously receive signals from one base station. To obtain maximum spectral efficiency …

Joint radio resource management and link adaptation for multicasting 802.11 ax-based wlan systems

VN Ha, G Kaddoum, G Poitau - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
Adopting OFDMA and MU-MIMO techniques for both downlink and uplink IEEE 802.11 ax
will help next-generation WLANs efficiently cope with large numbers of devices but will also …

Federated spatial reuse optimization in next-generation decentralized ieee 802.11 WLANs

F Wilhelmi, J Hribar, SF Yilmaz, E Ozfatura… - arxiv preprint arxiv …, 2022 - arxiv.org
As wireless standards evolve, more complex functionalities are introduced to address the
increasing requirements in terms of throughput, latency, security, and efficiency. To unleash …

Towards more reliable deep learning-based link adaptation for WiFi 6

M Hussien, MFA Ahmed, G Dahman… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
The problem of selecting the modulation and coding scheme (MCS) that maximizes the
system throughput, known as link adaptation, has been investigated extensively, especially …

Implementation and evaluation of ieee 802.11 ax channel sounding frame exchange in ns-3

J Zhang, S Avallone, DM Blough - Proceedings of the 2023 Workshop on …, 2023 - dl.acm.org
To enable extremely high throughput in wireless local area networks (WLANs), new features
including Multi-User Multiple-Input Multiple-Output (MU-MIMO), beamforming techniques …

A deep Q-network approach to optimize spatial reuse in WiFi networks

Y Huang, KW Chin - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
The proliferation of IEEE 802.11 or WiFi networks, and the explosive growth in traffic
demands call for solutions to maximize the capacity of WiFi networks. Hence, maximizing the …

Exploring Reinforcement Learning for Scheduling in Cellular Networks†.

O Gurewitz, N Gradus, E Biton… - Mathematics (2227 …, 2024 - search.ebscohost.com
Cellular network scheduling is crucial for wireless deployments like 4G, 5G, and 6G and is a
challenging resource allocation task performed by the scheduler located at the base …

Adaptive multi-user uplink resource allocation based on access delay analysis in IEEE 802.11 ax

M Peng, Q Yin, K Zhang, C Kai - Wireless Networks, 2023 - Springer
Abstract In IEEE 802.11 ax, orthogonal frequency division multiple access (OFDMA) is
introduced in the uplink for multi-user transmission. The uplink resource units (RUs) can be …