… The recent success of deep learning underpins new and … gap between deep learning and
mobile and wireless networking … -art in deep learning techniques with potential applications to …

… of mobile technology in the last decade, wireless networks … , more and more network resources
and features are … and management of the networks can be performed automatically and …

… 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 …

… 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 (…

… Extensive motivation is given for why deep learning based on artificial neural networks will
… of future wireless communication networks, and our vision of how artificial neural networks …

… 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)-…

… how to exploit deep learning for significant performance gain in wireless network optimization.
… To this end, we design a deep learning framework to find the latent relationship between …

… 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 …

… 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 …

… wireless network analysis is mentioned and briefly discussed in this paper. Machine learning
… , semisupervised and unsupervised based on the learning process. The availability of data …