… the coupling between communication and learning in edge learning systems. To materialize
… wireless communication in edge learning, collectively called learning-driven communication…

… machine learning technology is being considered as a very promising tool to attack the big
challenge in wireless communications … into supervised learning, unsupervised learning, and …

… of machine learning techniques. Then, by adopting a bottom-up approach, we examine
existing work on machine learning … of machine learning in IoT beyond wireless communication. …

… machine learning techniques, such as deep neural networks, can transform how we design
and optimize future communication … of wireless networks as platforms for machine learning …

… , machine learning has been successfully demonstrated efficient handling big data. In this
paper, applying machine learning … Where the main focus of this paper is how machine learning …

… machine learning algorithms that enhance the perception capability and reconfigurability in
wireless … We discuss practical applications of these techniques to wireless communication …

… artificial intelligence, machine learning, and deep learning. This article covers machine
learning and deep learning applications in 5G/B5G mobile and wireless communications. …

… This article reviewed the benefits of artificial intelligence aided wireless systems equipped
with machine learning. We introduced the major families of machine learning algorithms and …

… including deep learning for wireless communications and adversarial machine learning, they
… more in-depth discussions of AML in wireless communications. However, contrary to many …

… machine learning, along with their potential applications in next-generation (NG) wireless …
In particular, a unified, big data-aided machinelearning framework is proposed that consists …