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 …
[HTML][HTML] A survey of Wi-Fi 6: Technologies, advances, and challenges
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 …
requirements such as high throughput, real-time communication, dense networks, or …
Multi-agent reinforcement learning-based distributed channel access for next generation wireless networks
Z Guo, Z Chen, P Liu, J Luo, X Yang… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
In the next generation wireless networks, more applications will emerge, covering virtual
reality movies, augmented reality, holographic three-dimensional telepresence, haptic …
reality movies, augmented reality, holographic three-dimensional telepresence, haptic …
A survey on how network simulators serve reinforcement learning in wireless networks
S Ergun, I Sammour, G Chalhoub - Computer Networks, 2023 - Elsevier
Rapid adoption of mobile devices, coupled with the increase in prominence of mobile
applications and services, resulted in unprecedented infrastructure requirements for mobile …
applications and services, resulted in unprecedented infrastructure requirements for mobile …
AI-enabled reliable QoS in multi-RAT wireless IoT networks: prospects, challenges, and future directions
K Zia, A Chiumento… - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Wireless IoT networks have seen an unprecedented rise in number of devices,
heterogeneity and emerging use cases which led to diverse throughput, reliability and …
heterogeneity and emerging use cases which led to diverse throughput, reliability and …
Applying deep reinforcement learning to improve throughput and reduce collision rate in IEEE 802.11 networks
Abstract The effectiveness of Wi-Fi networks is greatly influenced by the optimization of
contention window (CW) parameters. Unfortunately, the conventional approach employed …
contention window (CW) parameters. Unfortunately, the conventional approach employed …
[HTML][HTML] Applying multi-agent deep reinforcement learning for contention window optimization to enhance wireless network performance
This paper investigates the Contention Window (CW) optimization problem in multi-agent
scenarios, where the fully cooperative among mobile stations is considered. A partially …
scenarios, where the fully cooperative among mobile stations is considered. A partially …
Resolving 5G NR-U contention for gap-based channel access in shared sub-7 GHz bands
M Zając, S Szott - IEEE Access, 2022 - ieeexplore.ieee.org
New Radio Unlicensed (NR-U) enables 5G networks to operate in unlicensed channels,
including the sub-7 GHz bands where transmitters are required to adhere to a set of …
including the sub-7 GHz bands where transmitters are required to adhere to a set of …
Multi-armed bandits for spectrum allocation in multi-agent channel bonding WLANs
While dynamic channel bonding (DCB) is proven to boost the capacity of wireless local area
networks (WLANs) by adapting the bandwidth on a per-frame basis, its performance is tied …
networks (WLANs) by adapting the bandwidth on a per-frame basis, its performance is tied …
[HTML][HTML] Wireless LAN performance enhancement using double deep Q-networks
K Asaf, B Khan, GY Kim - Applied Sciences, 2022 - mdpi.com
Due to the exponential growth in the use of Wi-Fi networks, it is necessary to study its usage
pattern in dense environments for which the legacy IEEE 802.11 MAC (Medium Access …
pattern in dense environments for which the legacy IEEE 802.11 MAC (Medium Access …