Estimating quality of service on Wi-Fi stations using recurrent neural networks
Wireless networks are the most common way to access the Internet, with more than 10
billion Wi-Fi devices already sold. Wireless connections suffer from problems related to …
billion Wi-Fi devices already sold. Wireless connections suffer from problems related to …
A spatio-temporal prediction methodology based on deep learning and real Wi-Fi measurements
SS Shaabanzadeh, J Sánchez-González - Computer Networks, 2024 - Elsevier
The rapid development of Wi-Fi technologies in recent years has caused a significant
increase in the traffic usage. Hence, knowledge obtained from Wi-Fi network measurements …
increase in the traffic usage. Hence, knowledge obtained from Wi-Fi network measurements …
On the Use of Artificial Neural Networks to Predict the Quality of Wi-Fi Links
One of the aspects that mainly characterize wireless networks is their apparent
unpredictability. Although several attempts were made in the past years to define for them …
unpredictability. Although several attempts were made in the past years to define for them …
Machine Learning models for the prediction of Wi-Fi links performance using a CityLab testbed
P Marques - 8th International Workshop on ADVANCEs in ICT …, 2020 - hal.science
The Wi-Fi links performance depends in a highly complex way on the actual topology,
channel qualities, spectral configurations, etc. Existing Wi-Fi radio link performance models …
channel qualities, spectral configurations, etc. Existing Wi-Fi radio link performance models …
A survey on prediction of PQoS using machine learning on Wi-Fi networks
M Morshedi, J Noll - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Deployment of Wi-Fi networks increases considerably as a last hop for Internet access in
homes and buildings. Wi-Fi as a best-effort network cannot satisfy user expectations for …
homes and buildings. Wi-Fi as a best-effort network cannot satisfy user expectations for …
Downlink SNR Estimation of Wi-Fi Clients using Machine Learning
S Dhama, N Akhtar, P Hathi… - 2023 15th International …, 2023 - ieeexplore.ieee.org
Wi-Fi, based on the IEE802. 11 standard, is the most popular commercial wireless
technology today. IEEE 802.11 specification includes mechanisms for channel feedback …
technology today. IEEE 802.11 specification includes mechanisms for channel feedback …
QoE Estimation for the Wi-Fi Edge with Gradient Boosting-based Machine Learning
An integral part of the Intent-Based Networking paradigm is estimating and improving the
end-user quality of experience (QoE). Estimating user experience from the (wide-area) …
end-user quality of experience (QoE). Estimating user experience from the (wide-area) …
Mixing Neural Networks and Exponential Moving Averages for Predicting Wireless Links Behavior
Predicting the behavior of a wireless link in terms of, eg, the frame delivery ratio, is a critical
task for optimizing the performance of wireless industrial communication systems. This is …
task for optimizing the performance of wireless industrial communication systems. This is …
Predicting Wi‐Fi link quality through artificial neural networks
Artificial intelligence is one of the key technologies behind the Industry 4.0 (r) evolution. It
can be profitably employed in a variety of different applications contexts and with different …
can be profitably employed in a variety of different applications contexts and with different …
Advancing WebRTC QoE Assessment with Machine Learning in Real-World Wi-Fi Scenarios
Video conferencing applications play a key role in enabling use cases like remote working,
education, and potentially the metaverse. From the perspective of Internet service providers …
education, and potentially the metaverse. From the perspective of Internet service providers …