… DLCS channel estimation scheme can also be used for the downlink channel estimation. …
user in practice, we consider the uplink channel estimation where the neural network (NN) …

… two methods for channel estimation, which are based on iterative optimization and deep
learning, … Then one serious challenge is that uplink/downlink channel estimation may incur large …

… If we apply the iteration-based algorithms to estimate the … driven deep learning-based
downlink channel reconstruction … We introduce two widely used channel estimation algorithms…

… In this part, we derive the CRLB for the downlink channel estimation problem. The received
signal by the m t h user, y m , is sent to the BS.(14) y m = h m X + n m d , n m d C N ( 0 , σ d 2 I …

… In the meantime, the authors in [9]–[12] have shown that the unsupervised learning … the
AE for channel estimation so that a transmitter estimates the downlink channels based on the …

… problems in machine learning based channel estimation. As … of a workable machine
learning based estimation, and it is … In that system, the downlink channel estimation is based on …

… schemes cannot achieve satisfactory estimation accuracy. To improve the channel estimation
performance, we … Then, the downlink channel can be directly obtained according to the …

… The choice of prior was shown to efficiently estimate the downlink channel with significantly
… use of deep learning based methods for approximating algorithms for channel estimation in …

… plan for the adaptive deep learning strategy for sparse channel estimation and hybrid …
downlink data transmission. On the basis of the channel reciprocity, the downlink channel estimate …

… A neural network-based scheme has been proposed in [44], which performs joint pilot design
and downlink channel estimation scheme for FDD MIMO-OFDM systems. To improve the …