In this paper, we consider a real-time deep learning-based symbol detection approach for
MIMO-OFDM systems. To exploit the temporal correlation of the wireless channel and the …

This paper presents a novel transmission scheme to support massive machine-type
communications (MTC) devices sending very short packets for Internet-of-Things (IoT) …

By transmitting different substreams in different antennas simultaneously, a multiple element
antenna array system provides increased capacity that grows linearly with the number of …

This paper proposes a convolutional neural network (CNN), called SCGNet, for low-
complexity and robust modulation recognition in intelligent communication receivers …

We develop and present the deep-structured conditional random field (CRF), a multi-layer
CRF model in which each higher layer's input observation sequence consists of the previous …

Deep learning (DL) has recently aroused substantial concern due to its successful
implementations in many fields. Currently, there are few studies on the applications of DL in …

Deep learning has been recently applied to many problems in wireless communications
including modulation classification and symbol decoding. Many of the existing end-to-end …

Visible light communication (VLC) based systems are a viable green supplement to existing
radio frequency based communication systems. However, it has been found that the …

We consider a trainable point-to-point communication system, where both transmitter and
receiver are implemented as neural networks (NNs), and demonstrate that training on the bit …

Wireless signal recognition is becoming increasingly more significant for spectrum
monitoring, spectrum management, and secure communications. Consequently, it will …