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

Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …

Q-learning is arguably one of the most applied representative reinforcement learning
approaches and one of the off-policy strategies. Since the emergence of Q-learning, many …

Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …

Reinforcement learning (RL), which is a class of machine learning, provides a framework by
which a system can learn from its previous interactions with its environment to efficiently …

Applications and technologies of the Internet of Things are in high demand with the increase
of network devices. With the development of technologies such as 5G, machine learning …

A trusted routing scheme is very important to ensure the routing security and efficiency of
wireless sensor networks (WSNs). There are a lot of studies on improving the …

In recent years, flying ad hoc networks have attracted the attention of many researchers in
industry and universities due to easy deployment, proper operational costs, and diverse …

A semiconductor distributor that plays a third-party role in the supply chain will buy diverse
components from different suppliers, warehouse and resell them to a number of electronics …

Software defined network (SDN) is one of the most interesting research topic that is currently
being investigated. The inclusion of artificial intelligence (AI) can improve the performance of …