… -ofthe-art applications of various machine learning approaches from the MAC layer up to
the application layer, covering resource management, networking, mobility management and …

… issues specific to 5G wireless networks. This work … machine/DL and 5G wireless systems.
We think this will be unique and provide insight into 5G wireless network issues from a machine…

… where to use different machine learning tools in the context of wireless networks. Finally, the
introductory literature on machine learning for wireless networks such as in [2], [4], [32], and …

… communication problems that can be addressed using ANNs, ranging from communication
using unmanned aerial vehicles to virtual reality applications over wireless networks as well …

… the basic characteristics and applications of supervised machine learning algorithms. … the
rudimentary characteristics and applications of reinforcement machine learning algorithms. …

… 1, thanks to the application of machine learning, the intelligent wireless network is capable
… to the application layer in intelligent wireless networks. In itself, machine learning offers a ver…

… of machine learning and deep learning in wireless networks. Due to the dynamic behaviour
of network scenarios in several adhoc networks (… Deep learning uses many neural network …

… the network. In this paper, we present an extensive literature review over the period 2002-2013
of machine learning … machine learning solutions for their specific application challenges. …

… In this section, we discuss various DML architectures and their applications to wireless
networks. The key features of different DML architectures are summarized in Table II. …

… wireless networking applications. In this paper we evaluate and compare different ML models
for the analysis of cellular network … application of machine learning models to wireless …