… to the large amount of feedback overhead caused by massive antennas. In this paper, we
propose a deep learning based joint channel estimation and feedback … realizes the estimation, …

… feedback overhead of FDD massive MIMO systems, the authors … at the BS using a deep
learning-based recovery solver. However… Therefore, the authors of [31] designed a deep learning-…

… We consider the downlink of a massive MIMO system, in which the transmitter is equipped
with Nt antennas and the receiver is equipped with Nr antennas. The channel from the …

… Also, in [25] and [26], deep learning based direction-of-arrival (DOA) estimation technique
and hybrid precoding design technique have been developed for the massive MIMO system, …

… is a challenging task because of the huge pilot and feedback overhead due to the large size
… deep network for the channel estimation with the aim of decreasing the pilot and feedback …

… massive MIMO system design. The key observation of this paper is that the multiuser channel
estimation, quantization and feedback … but where the machine learning approach can have …

… also been proposed for massive MIMO channel estimation and feedback, in order … massive
MIMO CSI matrices. Data-driven approaches train neural network (NN) structures over large …

… system parameters in the context of channel estimation, … of tools according to deep-learning
(DLg) based techniques. … CSI feedback in FDD MaMIMO systems is on feedback reduction. …

… , deep neural network is an efficient method for the imperfect channel estimation in massive
MIMO-OFDM systems. … Jin, and GY Li, “Deep learning-based CSI feedback approach for time-…

… In the context of mMIMO, [8] proposes a compressive method for generating CSI feedback …
solutions use complex and deep architectures to estimate large channel matrices. These …