… many MIMO tasks into a single end-to-end estimation, feedback, encoding, and decoding …
of the conventional spatial diversity MIMO systems using Deep Learning (DL) techniques …

… current model-based MIMO receivers all use suboptimal MIMO decoding methods with …
deep learning for the design of MIMO receivers. In particular, we leverage deep neural networks …

… motivate researchers to investigate new M-MIMO decoding … a Massive MIMO decoder using
a deep neural network (DNN… is to design a DL decoder for M-MIMO, which is less complex, …

… a deep learning (DL) based architecture (DLNet) for receive signal decoding in Massive-MIMO …
Recent developments in deep learning for communication present alternative solutions to …

… deep learning decoder (DLD) for MIMO communications in the presence of impulsive noise
channels. • We show that the proposed deep neural network … our deep learning decoder we …

… motivate researchers to investigate new M-MIMO decoding … a decoder using a deep neural
network (DNN) for M-MIMO … for OFDM based UAV communications using deep learning,” …

… -output (MIMO) systems, it has become computationally prohibitive in massive MIMO systems,
… To overcome this challenge, we propose fast deep learning (DL)aided SD (FDL-SD) and …

… In [26], a deep neural network scheme for decoding polar coded short packets was … , in this
article, deep learning is combined with the MIMO communication system under the conditions …

… train machine learning detectors in network communications (Section VI). Unlike the MIMO
channel, there exist some additional factors to be considered in network communications as …

… In [134], a MU cell free massive MIMO system with linear decoders based on approximate
matrix inversion methods is proposed. In [135], polynomial expansion detectors and multistage …