Network Slicing and Deep Reinforcement Learning (DRL) are vital enablers for achieving
5G and 6G networks. A 5G/6G network can comprise various network slices from unique or …

With the rapid development of Internet-of-Things (IoT) devices and mobile communication
technologies, Multi-access Edge Computing (MEC) has emerged as a promising paradigm …

Software-defined network (SDN) and network function virtualization (NFV) are
acknowledged as the most promising technologies to effectively allocate resource for …

Traffic over mobile cellular networks has significantly increased over the past decade, and
with the introduction of 5G there is a growing focus on throughput capacity, reliability, and …

Abstract The 6th generation (6G) mobile communications technology will realize the
interconnection of humans, machines, things as well as virtual space. The development of …

Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …

Software-defined satellite-terrestrial integrated networks (SDSTNs) are seen as a promising
paradigm for achieving high resource flexibility and global communication coverage …

For a wide range of smart agriculture use cases, the prospects of utilizing the Internet of
Things (IoT) are immense. Many IoT devices can be deployed for precision farming, soil …

In the Internet of Things (IoT)-based smart systems, wireless sensor networks (WSNs) play a
vital role in physical object monitoring. It collects data by sensing the environment and sends …

Over the past decades industrial communication networks have evolved into highly diverse
and heterogeneous environments, with a variety of different technologies being deployed to …