… Due to the advancement of deep learning, … review of 5G communications research using
deep learning. Specifically, we address the issues of low-density parity-check (LDPC) coding, …

… in deep learning (DL) techniques for the channel coding problems. … on the channel coding
problems and review existing … DL techniques into code design and channel decoding. After …

… The neural networks discussed in this chapter mainly include deep neural networks (DNNs),
convolutional neural networks (CNNs), and recurrent neural networks (RNNs). …

… trending machine learning techniques for channel coding. … of machine learning classification
for channel coding purposes, … and future machine learning trends for channel coding, which …

… Abstract—Channel Coding has been one of the central disciplines driving the success …
Deep Learning (DL) architectures based on Recurrent Neural Networks (RNNs) for encoding and …

… Using machine learning techniques, we investigate whether end-toend transmission can be
… source-channel coding (JSCC) rather than the separation approach. This paper reviews and …

… However, deep learning-based video coding remains in its infancy. We review the
representative works about using deep learning for image/video coding, an actively developing …

End-to-end deep learning for communication systems, ie, systems whose encoder and … -developed
classical encoder-decoder designs. However, one of the drawbacks of current …

… neural networks with an interleaver) and a neural network based decoder (iterations of
convolutional neural networks … By allowing joint training of the channel coding and modulation in …

… Abstract—With the introduction of the deep learning (DL), joint source and channel coding
(JSCC) … Perceptual image encryption methods for deep neural networks (DNNs) have been …