… Deep learning improves the performance when the model-based methods fail. … deep
learning applies to wireless communication security. In this context, adversarial machine learning …

… 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 …

… wireless communication networks, and expounds the value of the combination of DL and
wireless … and wireless transmission in wireless communication networks (corresponding to CR, …

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

… the key challenges posed by the envisioned 6G communication architecture. We outline the
… -hungry deep learning (DL) approaches in the context of 6G networks. Specifically, deep …

… communication system using deep … to learn to optimize the receiver gain in decoding. This
is very much a challenge since CSI varies with time and location in wireless communications …

… The development of modern wireless communications has significantly improved our daily
life. A full-fledged successful communication system takes advantage of various technical …

… communications. We highlight the intuitions and key technologies of deep learning-driven
wireless communication from the aspects of end-to-end communication, signal detection, …

… Wireless communication technologies have experienced an extensive development to satisfy
the applications and services in the wireless network. The explosion of advanced wireless …

… deep learning based on artificial neural networks will be an indispensable tool for the design
and operation of future wireless communication … of future wireless communication networks …