Reconfigurable intelligent surface (RIS), as an emerging technology, has recently been
applied to expand the range of mobile-edge computing (MEC) networks and improve …

In the 5G/B5G network paradigms, intelligent medical devices known as the Internet of
Medical Things (IoMT) have been used in the healthcare industry to monitor remote users' …

This article explores the significance of the timeliness of information in the context of fifth
generation (5G) nonterrestrial networks (NTNs). As 5G technology continues to evolve, its …

Real-time status updates require more frequent updates with fresh information. This study
investigates the applications and research potential of unmanned aerial vehicles (UAV) for …

6G has emerged as a feasible solution to enable intelligent electric vehicle (EV) energy
management. It can be further combined with digital twin (DT) to optimize resource …

Mobile edge computing is critical for improving the user experience of latency-sensitive and
freshness-based applications. This paper provides insights into the potential of non …

The use of unmanned aerial vehicles (UAVs) as flying base stations to support various tasks,
such as data collection, machine learning (ML) model training, and wireless communication …

In the 6G aerial network, all aerial communication nodes have computing and storage
functions and can perform real-time wireless signal processing and resource management …

Unmanned aerial vehicles (UAVs) are employed as mobile relay nodes to enable timely
remote monitoring by collecting information from monitoring devices and transferring the …

Multi-Agent Reinforcement Learning (MARL) is an emerging technology that has seen
success in many AI applications. Multi-Actor-Attention-Critic (MAAC) is a state-of-the-art …