… to wireless communication that would … learning customized for 6G wireless communication
and to help researchers to facilitate the 6G wireless networks driven by profound learning. …

… Machine Learning — The main objective of machine learning is to establish a functional …
Among the many useful techniques in machine learning applied to wireless communications, …

… 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 is …

… tures, distributed learning plays an irreplaceable role in the era of wireless networks with
a plethora of smart terminals, an explosion of information volume and increasingly sensitive …

… wireless communication community for the upcoming era of edge intelligence. The introduced
learning-driven communication … communication latency bottleneck and lead to fast edge …

… machine learning and big data, has recently shown great potential in the study of wireless
communications. … limitations as the physical layer becomes particularly complex in the 5G era. …

… for modern machine-learning methods in wireless communication. By categorizing the various
… Cui, “Wireless communications in the era of big data,” IEEE Commun. Mag., vol. 53, no. …

… communication and wireless-based IoT communication. There are several popular wired and
wireless communication … In our opinion, blockchain, and machine learning need to receive …

… In this section, we focus on machine learning for intelligent wireless communications.
Resources in the wireless environments recognized by the perception capability and …

… followings are some predicted services that will be offered by mobile phone at the 6G era. …
AI can contribute to the next generation of wireless communications. As a result, we conclude …