… of wireless channels. To address this challenge, we propose a PLA scheme based on
Gaussian process (GP) channel prediction, where the variation of channel characteristics is …

… pilot-based channel estimation schemes. To circumvent this fundamental constraint, we
design a machine learning (ML)-… Channel estimation (CE) is an essential procedure to obtain …

… in a practical setting that utilizes commodity WAVE communication equipment, thus we …
(RMSE) of the baseline method and our channel prediction approach built with a different number …

… techniques are applied to D2D links operating at 5.8 GHz with the aim at providing potential
answers to the following questions concerning the prediction … from a mobile device. Wireless …

… a technique for delay reduction that predicts the next channel that will be selected by the user.
The technique … The machine learning method is used to predict the next channel the user …

… to find an estimation of this channel matrix. In order to conduct channel estimation of finding
H, … We can take advantage of such patterns to perform CSI prediction for a mobile device at a …

… Since channel prediction techniques can be applied to each UE separately, we focus on
a single UE case and drop the UE index k throughout the paper. The BS predicts the …

… (ARIMA), supportvector machine for regression (SVR). … channel prediction model based on
deep learning approach. … an efficient channel prediction model to predict the future channel …

… channel prediction method based on LSTM networks, which can provide up to 2 s ahead BAN
channel prediction. 2… pare the prediction accuracy on both devices using different channel …

… channel status prediction schemes. For the first scheme, we propose a neural network
approach … We assume that both device types use the same sensing mechanism and have the …