… wireless applications. The main contribution of this article is to review the role of AI in wireless
networks. First… deploying AI functionalities in future networks. We discuss the distribution of …

… cess of deep learning underpins new and powerful tools that … gap between deep learning
and mobile and wireless networking … recent deep learning applications to mobile and wireless …

… eral machine learning approaches in the wireless area; Section 3: we introduce and summarize
state-of-the-art attack on machine learning … machine learning over wireless application; …

… datasets, faster and more intelligent learning algorithms, more flexible input … , deep learning
applications in wireless networks has drawn lots of interests. DL equips the wireless network …

… deep learning. Furthermore, we investigate their employment in the compelling applications
of wireless networks… some typical deep learning algorithms and their applications in wireless …

… application of the traditional, as well as the enhanced, RL models, to routing in wireless
networks… The routing challenges associated with different types of distributed wireless networks, …

… in applications, devices, and networks. The … wireless networks, where the network
operators employ advanced data analytics, machine learning (ML), and artificial intelligence. We …

… application of machine learning techniques for performance prediction problems in wireless
networks… These problems often involve using existing measurement data to predict network …

… future applications. In this paper, we argue that such … Machine Learning (ML) applications
in mobile networks. We propose an edge-controller-based architecture for cellular networks …

… of AI that can address wireless network security threats. Although wireless network security
threats are well … The software level work is centered on detecting malware and botnets in …