… 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 …

… wireless network optimization. This article systematically reviews recent attempts at leveraging
DL for addressing wireless network … comes regarding the wireless network optimization. In …

… deep learning for the design of wireless networks, an extensive overview of wireless
applications of deep learning, as well as a self-contained mathematical treatment of deep 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 (…

… 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 …

… We consider a generic wireless network with set of nodes N. A node can set up a
transmission link to another one if the latter is within its transmission range. Denote the set of …

… then present our considered deep learning system model. To describe our research problem
in an easy manner, we consider a simple wireless network backbone consisting of several …

… 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 …

… has investigated the opportunity of using learning [19–21] and deep learning [15, 22–24] …
real-time deep learning in the RF loop for spectrum-driven wireless networking on embedded …