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Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
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 …
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
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 …
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 …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
significant challenge in selection of link configuration parameters in an automatic approach …
Federated spatial reuse optimization in next-generation decentralized ieee 802.11 WLANs
As wireless standards evolve, more complex functionalities are introduced to address the
increasing requirements in terms of throughput, latency, security, and efficiency. To unleash …
increasing requirements in terms of throughput, latency, security, and efficiency. To unleash …