Joint Power Control and Scheduling for High-Dynamic Multi-Hop UAV Communication: A Robust Mean Field Game
As an extensive prospect in communication technology, multi-hop unmanned aerial vehicle (UAV) faces some challenges as well. How to ensure the availability of time slots in high dynamic scenarios and the rationality and robustness of power allocation in massive scenarios remains to be resolved. In t...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9541156/ |
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| author | Tong Li Chungang Yang Lizhong Chang Lingli Yang Peng Gong Haoxiang Dai Jingyu Shen Meng Wen Zhu Han |
| author_facet | Tong Li Chungang Yang Lizhong Chang Lingli Yang Peng Gong Haoxiang Dai Jingyu Shen Meng Wen Zhu Han |
| author_sort | Tong Li |
| collection | DOAJ |
| description | As an extensive prospect in communication technology, multi-hop unmanned aerial vehicle (UAV) faces some challenges as well. How to ensure the availability of time slots in high dynamic scenarios and the rationality and robustness of power allocation in massive scenarios remains to be resolved. In this paper, we propose a robust mean field game (MFG) framework to manage time slot resources and power resources. On the one hand, this framework can predict the potential conflicts of time slots and avoid them in time. On the other hand, it can well adapt to the massive scenarios with complex interference, in order to realize power control. The simulation results show that the robust MFG-based resource management scheme can not only reduce the probability of packet collision and packet loss, but also improve communication energy efficiency (EE) with better robustness. |
| format | Article |
| id | doaj-art-bd10f9885b074eac9093e0c6fb5c5c85 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-bd10f9885b074eac9093e0c6fb5c5c852025-08-20T02:49:20ZengIEEEIEEE Access2169-35362021-01-01913064913066410.1109/ACCESS.2021.31139099541156Joint Power Control and Scheduling for High-Dynamic Multi-Hop UAV Communication: A Robust Mean Field GameTong Li0https://orcid.org/0000-0003-4492-3045Chungang Yang1https://orcid.org/0000-0001-8263-3941Lizhong Chang2Lingli Yang3Peng Gong4https://orcid.org/0000-0001-8719-2620Haoxiang Dai5Jingyu Shen6Meng Wen7Zhu Han8https://orcid.org/0000-0002-6606-5822State Key Laboratory on Integrated Services Networks, Xidian University, Xi’an, ChinaState Key Laboratory on Integrated Services Networks, Xidian University, Xi’an, ChinaState Key Laboratory on Integrated Services Networks, Xidian University, Xi’an, ChinaState Key Laboratory on Integrated Services Networks, Xidian University, Xi’an, ChinaBeijing Institute of Technology, Beijing, ChinaState Key Laboratory on Integrated Services Networks, Xidian University, Xi’an, ChinaState Key Laboratory on Integrated Services Networks, Xidian University, Xi’an, ChinaInstitute of Systems Engineering, Academy of Military Sciences (AMS), Beijing, ChinaDepartment of Electrical and Computer Engineering, University of Houston, Houston, TX, USAAs an extensive prospect in communication technology, multi-hop unmanned aerial vehicle (UAV) faces some challenges as well. How to ensure the availability of time slots in high dynamic scenarios and the rationality and robustness of power allocation in massive scenarios remains to be resolved. In this paper, we propose a robust mean field game (MFG) framework to manage time slot resources and power resources. On the one hand, this framework can predict the potential conflicts of time slots and avoid them in time. On the other hand, it can well adapt to the massive scenarios with complex interference, in order to realize power control. The simulation results show that the robust MFG-based resource management scheme can not only reduce the probability of packet collision and packet loss, but also improve communication energy efficiency (EE) with better robustness.https://ieeexplore.ieee.org/document/9541156/Cross-layer optimizationmean field gamemulti-hop UAV communicationrobust controlresource management |
| spellingShingle | Tong Li Chungang Yang Lizhong Chang Lingli Yang Peng Gong Haoxiang Dai Jingyu Shen Meng Wen Zhu Han Joint Power Control and Scheduling for High-Dynamic Multi-Hop UAV Communication: A Robust Mean Field Game IEEE Access Cross-layer optimization mean field game multi-hop UAV communication robust control resource management |
| title | Joint Power Control and Scheduling for High-Dynamic Multi-Hop UAV Communication: A Robust Mean Field Game |
| title_full | Joint Power Control and Scheduling for High-Dynamic Multi-Hop UAV Communication: A Robust Mean Field Game |
| title_fullStr | Joint Power Control and Scheduling for High-Dynamic Multi-Hop UAV Communication: A Robust Mean Field Game |
| title_full_unstemmed | Joint Power Control and Scheduling for High-Dynamic Multi-Hop UAV Communication: A Robust Mean Field Game |
| title_short | Joint Power Control and Scheduling for High-Dynamic Multi-Hop UAV Communication: A Robust Mean Field Game |
| title_sort | joint power control and scheduling for high dynamic multi hop uav communication a robust mean field game |
| topic | Cross-layer optimization mean field game multi-hop UAV communication robust control resource management |
| url | https://ieeexplore.ieee.org/document/9541156/ |
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