… 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 …

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

… that in a wireless communication system involving a reconfigurable intelligent surface (RIS),
comprising of a larger number of reflective elements, a machine-learning approach that …

… Deep Learning (DL), one of the most exciting developments in machine learning and big
data, has recently shown great potential in the study of wireless communications. In this article, …

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

… boosted the boom of DL-based wireless communications. This article will identify the gains
that DL can bring to wireless physical layer communications, including systems with the block …

… , has propelled the development of wireless communication into the fifth generation to
achieve … learning (ML) has been widely applied to the upper layers of wireless communication …

… system is designed under the conventional communication framework, such as orthogonal
… a deep learning based end-to-end communication system for general wireless channels, …

… 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 …

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