[HTML][HTML] ATARI: A graph convolutional neural network approach for performance prediction in next-generation WLANs
IEEE 802.11 (Wi-Fi) is one of the technologies that provides high performance with a high
density of connected devices to support emerging demanding services, such as virtual and …
density of connected devices to support emerging demanding services, such as virtual and …
Machine learning for performance prediction of channel bonding in next-generation IEEE 802.11 WLANs
With the advent of Artificial Intelligence (AI)-empowered communications, industry,
academia, and standardization organizations are progressing on the definition of …
academia, and standardization organizations are progressing on the definition of …
HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN
Predicting the throughput of WLAN deployments is a classic problem that occurs in the
design of robust and high performance WLAN systems. However, due to the increasingly …
design of robust and high performance WLAN systems. However, due to the increasingly …
Intelligent channel bonding in 802.11 n WLANs
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 …
operate on 40 MHz channels by doubling their bandwidth from standard 20 MHz channels …
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 …
SmartBond: A deep probabilistic machinery for smart channel bonding in IEEE 802.11 ac
R Karmakar, S Chattopadhyay… - IEEE INFOCOM 2020 …, 2020 - ieeexplore.ieee.org
Dynamic bandwidth operation in IEEE 802.11 ac helps wireless access points to tune
channel widths based on carrier sensing and bandwidth requirements of associated …
channel widths based on carrier sensing and bandwidth requirements of associated …
Coexistence and interference mitigation for WPANs and WLANs from traditional approaches to deep learning: A review
More and more devices, such as Bluetooth and IEEE 802.15. 4 devices forming Wireless
Personal Area Networks (WPANs) and IEEE 802.11 devices constituting Wireless Local …
Personal Area Networks (WPANs) and IEEE 802.11 devices constituting Wireless Local …
Intelligent-CW: AI-based framework for controlling contention window in WLANs
AHY Abyaneh, M Hirzallah… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
The heterogeneity of technologies that operate over the unlicensed 5 GHz spectrum, such
as LTE-Licensed-AssistedAccess (LAA), 5G New Radio Unlicensed (NR-U), and WiFi, calls …
as LTE-Licensed-AssistedAccess (LAA), 5G New Radio Unlicensed (NR-U), and WiFi, calls …
A machine learning approach for IEEE 802.11 channel allocation
Today's communication is mainly done over wireless networks, with IEEE 802.11 (Wi-Fi) at
the forefront. There are billions of devices and millions of access points (APs), but only very …
the forefront. There are billions of devices and millions of access points (APs), but only very …
Model-based deep learning optimization of IEEE 802.11 VANETs for safety applications
IEEE 802.11 p/bd driven Vehicular Ad Hoc Networks (VANETs) have been investigated for
safety-critical applications with high reliability and low transmission latency. However, due to …
safety-critical applications with high reliability and low transmission latency. However, due to …