… of using DL for wireless communications are investigated. … -based block design rule of wireless
communications in the past … on how to apply DL for wireless communications by inducing …

… methods fail. Finally, we discuss how deep learning applies to wireless communication
security… In this context, adversarial machine learning provides novel means to launch and defend …

… methods may be able to identify better solutions more efficiently. The field of machine learning
for communication … and how machine learning can benefit wireless communication system …

… Our proposed deep learning framework is to conduct online CSI prediction for 5G wireless
communications. In what follows, we describe the architecture of the learning framework and …

… However, we wonder whether there are models for deep learning-based wireless
communication; we believe that general models would facilitate the implementation of such …

… major existing prediction methods in terms of modeling, characterization, complexity, and
performance, the emphasis of this chapter moves on to emerging deep learning (DL)-based …

… end-to-end learning approach to address channel estimation issue. In this section, we are
going to present the learning based end-to-end communication paradigm for general wireless …

… communication problems is discussed in [13]. Nonetheless, the performance of … machine
learning approaches for physical layer communication but do not address model driven deep …

… data-driven approaches should not replace… deep learning based on artificial neural networks
will be an indispensable tool for the design and operation of future wireless communication …

… the designs of wireless communications, especially in … DL-based CV in wireless
communications to bring some novel … can be applied in wireless communications, an example of …