Unmanned aerial vehicle (UAV)-based wireless networks have received increasing
research interest in recent years and are gradually being utilized in various aspects of our …

Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …

Vehicular Edge Computing (VEC) is a promising paradigm for autonomous driving. It can
reduce delay and energy consumption of tasks. The problem of joint task offloading …

Due to the limited battery and computing resource, offloading unmanned aerial vehicles
(UAVs)'computation tasks to ground infrastructure, eg, vehicles, is a fundamental framework …

Most recent edge and fog computing architectures aim at pushing cloud-native traits at the
edge of the network, reducing latency, power consumption, and network overhead, allowing …

This article investigates vehicular cloud (VC)-assisted task scheduling in an air-ground
integrated vehicular network (AGVN), where tasks carried by unmanned aerial vehicles …

Years of research on congestion controls have highlighted how end-to-end and in-network
protocols might perform poorly in some contexts. Recent advances in data plane network …

The multi-access edge computing (MEC) provides opportunities for unmanned aerial
vehicles (UAVs) to perform computing-intensive and delay-sensitive applications. To further …

Unmanned Aerial Vehicles (UAVs) are heavily used in disaster or emergency scenarios. In
this paper, we investigate the joint problem of task offloading, task scheduling, transmission …

Giant models, characterized by their billions or even trillions of parameters, has
demonstrated unprecedented capabilities in handling complex tasks on artificial intelligence …