Recently, the world witnessed a significant increase in the number of used drones, with a
global and continuous rise in the demand for their multi-purpose applications. The pervasive …

This paper presents a comprehensive literature review on applications of deep
reinforcement learning (DRL) in communications and networking. Modern networks, eg …

Along with the rapid developments in communication technologies and the surge in the use
of mobile devices, a brand-new computation paradigm, edge computing, is surging in …

The ongoing deployment of 5G cellular systems is continuously exposing the inherent
limitations of this system, compared to its original premise as an enabler for Internet of …

This paper deals with the use of emerging deep learning techniques in future wireless
communication networks. It will be shown that the data-driven approaches should not …

The use of flying platforms such as unmanned aerial vehicles (UAVs), popularly known as
drones, is rapidly growing. In particular, with their inherent attributes such as mobility …

The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

In recent years, with the rapid development of current Internet and mobile communication
technologies, the infrastructure, devices and resources in networking systems are becoming …

Given the unprecedented availability of data and computing resources, there is widespread
renewed interest in applying data-driven machine learning methods to problems for which …

As a key technique for enabling artificial intelligence, machine learning (ML) is capable of
solving complex problems without explicit programming. Motivated by its successful …