Joint Deployment and Task Scheduling in IRS-assisted Wireless Inland Ship MEC Network
Author:
Affiliation:
1. Wuhan University of Technology,School of Information Engineering,Wuhan,China,430070
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10199114/10199145/10199992.pdf?arnumber=10199992
Reference17 articles.
1. Multi-UAV-Enabled Mobile-Edge Computing for Time-Constrained IoT Applications
2. Energy-Efficient Resource Allocation in UAV Based MEC System for IoT Devices
3. When UAV Meets IRS: Expanding Air-Ground Networks via Passive Reflection
4. Joint Resources and Workflow Scheduling in UAV-Enabled Wirelessly-Powered MEC for IoT Systems
5. Artificial Intelligence for UAV-Enabled Wireless Networks: A Survey
Cited by 2 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. Low-Latency Data Computation of Inland Waterway USVs for RIS-Assisted UAV MEC Network;IEEE Internet of Things Journal;2024-08-15
2. Performance Evaluation of Flight Energy Consumption of UAVs in IRS-assisted UAV Systems;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01
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