With the rapid evaluation of virtual and augmented reality, massive Internet of Things
networks and upcoming 6 G communication give rise to an emerging concept termed the …

In the context of the unmanned aerial vehicle (UAV)-assisted vehicular networking system,
more network factors need to be considered to ensure the safe operation of connected …

Aerial edge computing (AEC) has emerged as a pivotal platform offering low-latency
computation services, seamless deployability, rapid operationality, and high maneuverability …

The prevailing adoption of Internet of Things paradigm is giving rise to a wide range of use
cases in various vertical industries including remote health, industrial automation, and smart …

Nowadays, the functional integration of Unmanned Aerial Vehicles (UAVs) as flying
computing nodes with terrestrial networks is rapidly emerging as a promising and viable …

Distributed artificial intelligence is increasingly being applied to multiple unmanned aerial
vehicles (multi-UAVs). This poses challenges to the distributed reconfiguration (DR) …

Owing to high flexibility and rapid deployment, unmanned aerial vehicles (UAVs) can offer
network coverage for Internet of Things (IoT) devices in post-disaster scenarios. UAV-aided …

Abstract Deep Reinforcement Learning (DRL) is a powerful tool for optimizing
communications in reconfigurable intelligent surface (RIS)-assisted millimeter-wave …

Recently, the integration of unmanned aerial vehicles (UAVs) with edge computing has
emerged as a promising paradigm for providing computational support for Internet of Things …

With the rapid development of mobile communication technologies and Internet of Things
(IoT) devices, Multi-Access Edge Computing (MEC) has become one of the most potential …