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 …
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 …
A machine learning approach to predicting coverage in random wireless networks
H El Hammouti, M Ghogho… - 2018 IEEE Globecom …, 2018 - ieeexplore.ieee.org
There is a rich literature on the prediction of coverage in random wireless networks using
stochastic geometry. Though valuable, the existing stochastic geometry-based analytical …
stochastic geometry. Though valuable, the existing stochastic geometry-based analytical …
Distributed learning algorithms for spectrum sharing in spatial random access wireless networks
We consider distributed optimization over orthogonal collision channels in spatial random
access networks. Users are spatially distributed and each user is in the interference range of …
access networks. Users are spatially distributed and each user is in the interference range of …
Intelligent wireless networks: challenges and future research topics
M Abusubaih - Journal of Network and Systems Management, 2022 - Springer
Recently, artificial intelligence (AI) has become a primary tool of serving science and
humanity in all fields. This is due to the significant development in computing. The use of AI …
humanity in all fields. This is due to the significant development in computing. The use of AI …
SmartLA: Reinforcement learning-based link adaptation for high throughput wireless access networks
R Karmakar, S Chattopadhyay… - Computer Communications, 2017 - Elsevier
High throughput wireless standards based on IEEE 802.11 n and IEEE 802.11 ac have been
developed and released within the last few years as new amendments over the …
developed and released within the last few years as new amendments over the …
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 …
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 …
Self-deployment of non-stationary wireless systems by knowledge management with artificial intelligence
In this paper, we propose a self-deployment strategy for non-stationary wireless extenders,
where both back-haul and front-haul links are optimized. We present an artificial intelligence …
where both back-haul and front-haul links are optimized. We present an artificial intelligence …
Use of machine learning to detect causes of unnecessary active scanning in WiFi networks
H Fulara, G Singh, D Jaisinghani… - 2019 IEEE 20th …, 2019 - ieeexplore.ieee.org
We address the problem of automating the process of network troubleshooting for a large-
scale WiFi network. Specifically, we target identifying the causes of unnecessary active …
scale WiFi network. Specifically, we target identifying the causes of unnecessary active …