In this paper, we propose a new modeling approach, based on neural networks, that is able to predict the Quality of Service (QoS) of WLANs based on the ...
A new modeling approach is proposed, based on neural networks, that is able to predict the Quality of Service (QoS) of WLANs based on the characterization ...
In this paper, we propose a new modeling approach, based on neural networks, that is able to predict the Quality of Service (QoS) of WLANs based on the ...
Predicting the Quality of Service of wireless LANs using neural networks ; Authors: Nogueira, A., Salvador, P., Valadas, R. · (Rui Jorge Morais Tomaz Valadas) ...
Jan 7, 2022 · It is also possible to use machine learning techniques to predict the evolution of a wireless channel, in terms of the frame delivery ...
We design an encoder-decoder based sequence-to-sequence model for solving the channel quality (i.e., signal strength) prediction problem (Figure 1). Our model ...
ABSTRACT One of the aspects that mainly characterize wireless networks is their apparent unpredictability. Although several attempts were made in the past ...
This paper proposes a Machine Learning (ML) based QoS estimator, based on convolutional neural networks, which estimates the QoS for a given network.
Missing: LANs | Show results with:LANs
The use of ML techniques in LQE is promising to sig- nificantly improve the performance of wireless networks due to the ability of the technology to process and ...
Sep 15, 2023 · In this study, we tackle this high simulation time problem by proposing a generalised regression neural network (GRNN) based machine learning (ML) approach.