… nature of mm-Wave channel [15]. To relax this dependence and obtain robust performance
against the imperfections in the estimated channel matrix, we examine a deep learning (DL) …

… developments in deep learning to design a novel deep massive MIMO channel estimator that
… One of the salient features of our deep channel estimator lies in not requiring any statistical …

… This paper combines the channel estimation of New … channel estimation framework. In the
MEC server, this paper proposes a channel estimation algorithm based on deep learning. This …

… user activity is sporadic the detection/estimation problem is amenable to sparse recovery …
channel, so that the channel vectors are sparse in a known dictionary. We apply the deep …

… Abstract—In this paper, we propose a frequency-time division network (FreqTimeNet) to
improve the performance of deep learning (DL) based OFDM channel estimation. This Freq…

… In this work, we investigate the possibility of applying the deep learning method to … of
channel estimation and user identification in mMTC scenarios. In recent years, machine learning …

… To solve the UAD-CE problem, we propose a novel deep learning approach, where the
information contained in the preamble and data are both exploited. The architectural design of …

… channel estimation and signal detection performance of OFDM systems with few pilots and
short cyclic prefixes (CP) poor. In this paper, we use deep learning to … ) for channel estimation, …

… Deep learning can be used to solve problems in communications systems design whenever
… In this paper, we apply deep learning to channel estimation of MIMO systems with 1-bit …

… Channel estimation act as an important part of communication. In wireless communications,
channel estimation … Thus, deep learning-based channel estimation approaches are recently …