Maximizing the Average Secrecy Rate for UAV-assisted MEC: A DRL Method
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9390588/9390589/09390913.pdf?arnumber=9390913
Cited by 9 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. Deep Neural Networks meet computation offloading in mobile edge networks: Applications, taxonomy, and open issues;Journal of Network and Computer Applications;2024-06
2. Poster: Towards Constraint-Based Model Repair to Ensure Multiple Mission Objectives in UAV-Enabled MEC Systems for Disaster Response and Rescue;2024 IEEE International Conference on Mobility, Operations, Services and Technologies (MOST);2024-05-01
3. Physical Layer Security Performance Optimization of Unmanned Aerial Vehicle-Assisted Wireless Network;2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE);2024-03-01
4. Multi-Agent Q-Net Enhanced Coevolutionary Algorithm for Resource Allocation in Emergency Human-Machine Fusion UAV-MEC System;IEEE Transactions on Automation Science and Engineering;2024
5. Optimizing Effectiveness and Defense of Drone Surveillance Missions Via Honey Drones;2024
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