Joint Optimization on Trajectory and Resource for Freshness Sensitive UAV-Assisted MEC System

• Published in: IEEE Wireless Communications and Networking Conference : [proceedings] : WCNC pp. 1 - 6
• Main Authors: Li, Haozhe, Zhang, Jiao, Zhao, Haitao, Ni, Yiyang, Xiong, Jun, Wei, Jibo
• Format: Conference Proceeding
• Language: English
• Published: IEEE 21.04.2024
• Subjects: age of information; Autonomous aerial vehicles; mobile edge computing; multi-agent reinforcement learning; Reinforcement learning; Resource management; Simulation; Traffic control; Trajectory; Trajectory planning; unmanned aerial vehicle
• ISSN: 1558-2612
• DOI: 10.1109/WCNC57260.2024.10570662

As a potential technique, unmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) can provide flexible coverage and computing services for real-time applications such as emergency search, traffic control and disaster rescue. In this paper, we investigate a freshness sensitive multi-UAV as...