Opportunistic computation offloading is an effective way to improve the computing
performance of Industrial Internet of Things (IIoT) devices. However, as more and more …

Unmanned Aerial Vehicle (UAV)-assisted Low Earth Orbit (LEO) satellite edge computing
(ULSE) networks can address the challenge communications issues in areas with harsh …

Multi-access edge computing (MEC) brings many services closer to user devices, alleviating
the pressure on resource-constrained devices. It enables devices to offload compute …

With the proliferation of edge computing, efficient AI inference on edge devices has become
essential for intelligent applications such as autonomous vehicles and VR/AR. In this …

The computation offloading problem in mobile edge computing (MEC) has received a lot of
attention, but service caching is also a research topic that cannot be ignored in MEC. Due to …

Multi-Agent Reinforcement Learning (MARL) has emerged as a foundational approach for
addressing diverse, intelligent control tasks in various scenarios like the Internet of Vehicles …

With the proliferation of edge computing, efficient AI inference on edge devices has become
essential for intelligent applications such as autonomous vehicles and VR/AR. In this …

Cooperative perception is a promising paradigm to tackle the perception limitations of a
single intelligent vehicle (IV) to enhance the driving safety and efficiency in intelligent …

In vehicular edge computing networks (VECNs), service migration among edge servers is
critical to address the challenge of service interruption caused by high mobility of vehicles …

The Space-Air-Ground Integrated Network (SAGIN) plays a pivotal role as a comprehensive
foundational network communication infrastructure, presenting opportunities for highly …