… learning (LML)based channel estimation with online training. The main contributions are as
… -based channel estimation with an online training scheme. In the proposed scheme, training …

… information about channels through C-… online learning-based scheme to realize channel
estimation and equalization, where the C-ELM can learn the statistical information of channels …

… We also propose an effective online training method based on the fifth generation (5G) new
… at the receiver for online training. Using industrial standard channel models, the simulations …

… ABSTRACT In this paper, online deep learning (DL)-based channel estimation algorithm
for doubly selective fading channels is proposed by employing the deep neural network (DNN). …

… a legitimate online loss function, based on which we develop a modelfree online training
algorithm with convergence analysis. Simulation shows that the proposed online deep neural …

… In this letter, we introduce a deep learning approach to channel estimation and symbol
detection in an OFDM system. Deep learning and artificial neural networks (ANNs) have …

… Thereby, when we performing the online channel estimation enhancement algorithm, we
can search the lookup table to obtain the appropriate number of iterations for the training of the …

… parameters and avoid cumbersome training. One of the salient features of our deep channel
estimator lies in not requiring any statistical knowledge about the channel except what can …

… the downlink channel estimation … a channel estimation network based on deep learning,
called ChanEstNet. ChanEstNet uses the convolutional neural network (CNN) to extract channel …

… studies have not well solved the problem of channel estimation for MIMO-OFDM in high …
channel estimation algorithm in the high mobility scenario. We first develop a channel estimation …