… 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 …

… In the mean time, machine learning has been successfully demonstrated efficient handling
big data. In this paper, applying machine learning to assist channel modeling and channel …

… in wireless communication. This paper comprehensively surveys the recent advances of the
applications of ML in wireless communication… ML to wireless communication are identified to …

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

… wireless communication networks, their architectures and platforms, computation and
communication … We review popular applications of DML in wireless communications. In particular, …

… paper is on machine learning (ML) in wireless communications. 6G wireless communication
… , reliable, and near-instant wireless connectivity for humans and machines. Recent …

… Machine learning (ML) and wireless communications are two of the most rapidly advancing
technologies of our time. The main premise of ML is to enable computers to learn and …

… 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 …