… a deep learning compressed sensing channel estimation (DL-… The proposed DL-CS-based
channel estimation (DL-CS-CE) … : channel amplitude estimation through deep learning and …

… statistics and then utilized to predict the desired channel … how the channel estimation
based on Deep Learning (DL) and … DL-based channel estimation over conventional NOMA …

… deep learning (DL) for massive MIMO channel estimation in wireless networks by integrating
the underlying characteristics of channels … frequency (RF) channel properties and present a …

… Unit (GRU)-based channel estimation in F-RANs is proposed in this paper. The motivation
of using deep learning includes two sides: First, due to the strong learning ability, the sparse …

… focuses on the channel estimation problem in … estimation problem into sub-ones, including
the estimation of the direct SAC channels in the first stage, reflected communication channel …

… in the context of channel estimation, transmit-power allocation etc. These issues can be
conveniently optimised through virtualising of tools according to deep-learning (DLg) based …

… a deep learning based joint channel estimation and feedback framework, which comprehensively
realizes the estimation, compression, and reconstruction of downlink channels in FDD …

… to beamspace channel amplitude is learned by neural networks. Even though deep learning
… In this letter, we present a mmWave channel estimation method based on deep learning …

… channels and train the deep learning network we propose for the effective channel estimation
… Note that the prior conference version of this paper [1] considers only channel estimation …

… Such capricious phenomena make channel estimation (CE) … devise a deep learning (DL)
based joint channel classification (… CE with SD by utilizing a new deep neural network (DNN). …