Optimal Frequency Reuse and Power Control in Multi-UAV Wireless Networks: Hierarchical Multi-Agent Reinforcement Learning Perspective

Author:

Lee Seungmin1ORCID,Lim Suhyeon1ORCID,Chae Seong Ho2ORCID,Jung Bang Chul3ORCID,Park Chan Yi4,Lee Howon1ORCID

Affiliation:

1. School of Electronic and Electrical Engineering, Hankyong National University, Anseong, South Korea

2. Department of Electronics Engineering, Tech University of Korea, Siheung-si, South Korea

3. Department of Electronics Engineering, Chungnam National University, Daejeon, South Korea

4. Agency for Defense Development, Daejeon, South Korea

Funder

Agency for Defense Development, Republic of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 8 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. Multi-Agent Deep Reinforcement Learning-Based Multi-UAV Path Planning for Wireless Data Collection and Energy Transfer;2024 Fifteenth International Conference on Ubiquitous and Future Networks (ICUFN);2024-07-02

2. Bandwidth Allocation and Power Control Optimization for Multi-UAVs Enabled 6G Network;IEEE Access;2024

3. From 5G to 6G Networks: A Survey on AI-Based Jamming and Interference Detection and Mitigation;IEEE Open Journal of the Communications Society;2024

4. Frequency Reuse Planning in 3D Space for DAV Swarm Communications;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10

5. Invited Paper: Ground-Based Communication Support for Air Corridors;2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2023-09-05

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