64 citations · 67 across the 3 of their papers we have counts for
5 papers
Joint Optimization of Deployment and Trajectory in UAV and IRS-Assisted IoT Data Collection System
Li Dong, Zhibin Liu, Feibo Jiang +1
Unmanned aerial vehicles (UAVs) can be applied in many Internet of Things (IoT) systems, e.g., smart farms, as a data collection platform. However, the UAV-IoT wireless channels ma…
Distributed Resource Scheduling for Large-Scale MEC Systems: A Multi-Agent Ensemble Deep Reinforcement Learning with Imitation Acceleration
Feibo Jiang, Li Dong, Kezhi Wang +2
We consider the optimization of distributed resource scheduling to minimize the sum of task latency and energy consumption for all the Internet of things devices (IoTDs) in a large…
AI Driven Heterogeneous MEC System with UAV Assistance for Dynamic Environment -- Challenges and Solutions
Feibo Jiang, Kezhi Wang, Li Dong +3
By taking full advantage of Computing, Communication and Caching (3C) resources at the network edge, Mobile Edge Computing (MEC) is envisioned as one of the key enablers for the ne…
Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks
Feibo Jiang, Kezhi Wang, Li Dong +2
An online resource scheduling framework is proposed for minimizing the sum of weighted task latency for all the Internet of things (IoT) users, by optimizing offloading decision, t…
Deep Learning Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks
Feibo Jiang, Kezhi Wang, Li Dong +3
In this paper, we consider a hybrid mobile edge computing (H-MEC) platform, which includes ground stations (GSs), ground vehicles (GVs) and unmanned aerial vehicle (UAVs), all with…