… wireless networks can leverage intelligent, data-driven functions enabled by the integration
of machine learning (ML) notions across the wireless … how artificial neural networks (ANNs)-…

… are discussed with regard to machine learning based network … the popular machine learning
techniques utilized in wireless networks, … The applications of machine learning in resource …

… machine learning solutions to endow wireless networks with … the topic of machine learning
for wireless network design. The … , from machine learning and wireless communications, that …

… wireless systems equipped with machine learning. We introduced the major families of machine
learning … in the context of next-generation networks, including massive MIMOs, the smart …

… machine learning techniques and present their potential applications in intelligent wireless
… Furthermore, we propose deep reinforcement learning for intelligent resource management …

… algorithm in heterogeneous networks is a big … machine learning and deep learning in
wireless networks. Due to the dynamic behaviour of network scenarios in several adhoc networks (…

… networks. In Section VI, we introduce some typical deep learning algorithms and their
applications in wireless networks. Some future research ideas and our conclusions are provided in …

… This paper provides a convenient reference for wireless sensor network infrastructure and
… from machine learning algorithms by reducing the security costs of wireless sensor networks …

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

… the networks hard to respond dynamically. To overcome such scenarios, machine learning
(… ML is the process of self-learning from the experiences and acts without human intervention …