A Joint Trajectory and Computation Offloading Scheme for UAV-MEC Networks via Multi-Agent Deep Reinforcement Learning
Author:
Affiliation:
1. School of Information and Communication Engineering, Dalian University of Technology,Dalian,China
2. Western University,Department of Electrical and Computer Engineering,London,ON,Canada,N6A 5B9
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10278505/10278554/10278822.pdf?arnumber=10278822
Reference18 articles.
1. Optimization of Task Scheduling and Dynamic Service Strategy for Multi-UAV-Enabled Mobile-Edge Computing System
2. UAV-Assisted Edge Caching Under Uncertain Demand: A Data-Driven Distributionally Robust Joint Strategy
3. When UAVs Meet Cognitive Radio: Offloading Traffic Under Uncertain Spectrum Environment via Deep Reinforcement Learning
4. Mobile Edge Computing via a UAV-Mounted Cloudlet: Optimization of Bit Allocation and Path Planning
5. HOTSPOT: A UAV-Assisted Dynamic Mobility-Aware Offloading for Mobile-Edge Computing in 3-D Space
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Computing over the Sky: Joint UAV Trajectory and Task Offloading Scheme Based on Optimization-Embedding Multi-Agent Deep Reinforcement Learning;IEEE Transactions on Communications;2023
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