… , and deep learning (DL) concepts for 5G cellular networks with … Mao, “Application of machine
learning in wireless networks: … Tomasin, “Machine learning for intelligent authentication in …

… benefits and applications of UAVs in wireless communications is … in UAV-enabled wireless
networks are thoroughly investigated. In … tools, such as optimization theory, machine learning, …

… As the applications of machine learning are widely applied in different aspects of WSNs,
in this section, we have focused on only the routing issues that have been handled by ML …

… reinforcement learning algorithm that uses deep Q network … TensorFlow to implement deep
reinforcement learning in this … -enabled opportunistic IA wireless networks. Simulation results …

… machine learning (ML) techniques that could address the systematic correlation between the
two have been applied to applications … wireless networks: Design issues and applications,” …

… convergence of blockchain and machine learning technologies in wireless networks [7–9]. …
revolutionizing wireless networking. For example, a machine learning based software-defined …

… use of Artificial Intelligence (AI) and Machine Learning (ML) for such wireless networks. Every
… We conclude the paper with some future applications and research challenges in the area …

… in comparison with mobile ad hoc networks or cellular networks [K. Akkaya et. al.]. … machine
learning techniques for energy efficient routing. From survey, we found that machine learning …

… machine learning (… wireless networks, emphasizing the performance gains and challenging
the issues. Then we review different applications of ML approaches in IRS-assisted wireless …

… Abstract— The next-generation of wireless networks will enable many machine learning (ML)
tools and applications to efficiently analyze various types of data collected by edge devices …