… to make a reliable channel estimation for massive MIMO; (iv) in our case, the received
signal is a high-dimensional vector due to massive MIMOOFDM and its elements are spatially, …

… state information (CSI) to exploit the benefits of massive multiple-input-multiple-output (MaMIMO) …
We present a deep learning framework based on deep neural networks (DNNs) for 5G …

… While there exist many MIMO detection algorithms, the aim of this magazine … neural networks
(DNN) for massive MIMO detection. We review recent developments in DNN-based MIMO …

… convolutional neural networks (CNNs) for fingerprint-based positioning using measured
massive MIMO channels. When represented in appropriate domains, massive MIMO channels …

… -Bit massive MIMO data detection Network (OBMNet), which is based on the deep neural
network (… We then propose a model-driven OBMNet for data detection in one-bit massive MIMO …

… Abstract—In this paper, deep neural network (DNN) is utilized to improve message passing
… in MIMO detections to propose a deep neural network (DNN)-aided massive MIMO detector. …

In this paper, we innovately use graph neural networks (GNNs) to learn a message-passing
solution for the inference task of massive multiple multiple-input multiple-output (MIMO) …

… massive MIMO seriously increase this overhead. In this paper, we propose a multiple-rate
compressive sensing neural network … Specifically, we establish two network design principles …

… estimation of the massive MIMO-OFDM into the deep neural network scheme is proposed, …
neural network is an efficient method for the imperfect channel estimation in massive MIMO-…

… medium-scale MIMO systems. Motivated by this, in this paper, the convolutional neural
network (CNN) in deep learning technology is employed for detection in massive MIMO systems. …