… 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 …

… 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 …

… 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 …

… Deep learning improves the performance when the model-based methods fail. … deep
learning applies to wireless communication security. In this context, adversarial machine learning …

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

… DL for addressing wireless network optimization problems, … DL comes regarding the wireless
network optimization. In contrast … deep learning in the context of multi-hop wireless network …

… 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 …

… large-scale super-dense networks, and so on. The amazing success of deep learning in
various fields, … Hence, in this review, a pair of dominant methodologies of using DL for wireless …

… of using deep learning for wireless resource allocation with application to vehicular networks.
We review major recent studies that mobilize the deep-learning philosophy in wireless …

… Moreover, they have evaluated their system using the advanced wireless network datasets.
… the deep learning methods. In addition, they are also used the standard machine learning …