… Abstract—Resource allocation in wireless networks, such as device-to-device (D2D) … the
MINLP problems in wireless communications. In this paper, we use imitation learning method to …

… edge learning, to aggregate local learning updates at the network edge in lieu of users’ raw
data. Aiming at accelerating … criterion, called learning efficiency. We then formulate a training …

… potential of NN compression and acceleration techniques in DL-based communications.
Since massive MIMO is a critical technique for future wireless networks, we present two case …

… In addition, mobile network operators are accelerating the dense deployment of small-cell …
unpredictable wireless communication environments than any previous generation of networks…

… solving networking problems. In Section VI we review recent deep learning applications to
mobile and wireless networking… deep learning in mobile systems feasible and accelerates the …

… each learning framework, we first introduce the motivation for deploying it over wireless
networks… We then introduce an illustrative example to show how to optimize wireless networks to …

… /self-organizing network control and optimization and the ability of the wireless network to
dynamically learn the wireless environment and intelligently control the wireless network and …

… Simulation results of the learning accelerated optimization method for D2D networks are …
by the accelerated algorithm, while speed refers to the speedup with respect to the original B&B …

… Grace, “Heuristically accelerated reinforcement learning for dynamic secondary … learning
based mac protocol for wireless sensor networks,” International Journal of Sensor Networks, vol…

… in wireless networks. Then, we discuss the problems that can be solved by using ML in
various layers of the network … Zero-touch optimization of wireless networks using ML is another …