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 …

Impact of IEEE 802.11 n/ac PHY/MAC high throughput enhancements on transport and application protocols—A survey

R Karmakar, S Chattopadhyay… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Since the inception of IEEE 802.11 wireless local area networks (WLANs) in 1997, wireless
networking technologies have tremendously grown in the last few decades. The …

An experience driven design for IEEE 802.11 ac rate adaptation based on reinforcement learning

SC Chen, CY Li, CH Chiu - IEEE INFOCOm 2021-IEEE …, 2021 - ieeexplore.ieee.org
The IEEE 802.11 ac supports gigabit speeds by extending 802.11 n air-interface features
and increases the number of rate options by more than two times. Enabling so many rate …

Practical machine learning-based rate adaptation solution for Wi-Fi NICs: IEEE 802.11 ac as a case study

CY Li, SC Chen, CT Kuo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Many rate adaptation (RA) solutions have been proposed for legacy Wi-Fi standards.
However, these solutions lack extensibility, and cannot therefore be easily applied to new Wi …

[HTML][HTML] Packet loss characterization using cross layer information and hmm for wi-fi networks

CAG da Silva, CM Pedroso - Sensors, 2022 - mdpi.com
Packet loss is a major problem for wireless networks and has significant effects on the
perceived quality of many internet services. Packet loss models are used to understand the …

Dynamic spectrum access in cognitive radio networks using deep reinforcement learning and evolutionary game

P Yang, L Li, J Yin, H Zhang, W Liang… - 2018 IEEE/CIC …, 2018 - ieeexplore.ieee.org
With the rapid development of wireless communication technology, the low utilization of
spectrum resources and the high demand for spectrum have always been an urgent and …

[HTML][HTML] Using ranging for collision-immune IEEE 802.11 rate selection with statistical learning

W Ciezobka, M Wojnar, K Rusek, K Kosek-Szott… - Computer …, 2024 - Elsevier
Appropriate data rate selection at the physical layer is crucial for Wi-Fi network performance:
too high rates lead to loss of data frames, while too low rates cause increased latency and …

FTMRate: Collision-immune distance-based data rate selection for ieee 802.11 networks

W Ciezobka, M Wojnar, K Kosek-Szott… - 2023 IEEE 24th …, 2023 - ieeexplore.ieee.org
Data rate selection algorithms for Wi-Fi devices are an important area of research because
they directly impact performance. Most of the proposals are based on measuring the …

An online learning approach for auto link-Configuration in IEEE 802.11 ac wireless networks

R Karmakar, S Chattopadhyay, S Chakraborty - Computer Networks, 2020 - Elsevier
High throughput wireless standards based on IEEE 802.11, such as IEEE 802.11 ac, pose a
significant challenge in selection of link configuration parameters in an automatic approach …

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 …