Secure communications for UAV relay networks: a MPC-based trajectory tracking approach
Abstract Unmanned aerial vehicles (UAVs) have emerged as a promising solution to enhance communication networks, especially in scenarios where traditional infrastructure is impractical or unavailable. However, the reliance on line-of-sight channels in UAV-assisted relay networks introduces significa...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-05-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13638-025-02454-z |
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| _version_ | 1849728294971244544 |
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| author | Shizhan Lan Lei Zhong Bin Tan Yeyu Liang Shan Chen Hanghang Xie |
| author_facet | Shizhan Lan Lei Zhong Bin Tan Yeyu Liang Shan Chen Hanghang Xie |
| author_sort | Shizhan Lan |
| collection | DOAJ |
| description | Abstract Unmanned aerial vehicles (UAVs) have emerged as a promising solution to enhance communication networks, especially in scenarios where traditional infrastructure is impractical or unavailable. However, the reliance on line-of-sight channels in UAV-assisted relay networks introduces significant security vulnerabilities. This paper proposes a novel framework that jointly optimizes transmit power and UAV trajectory to achieve secure communications in such networks. To enhance system performance against environmental uncertainties, we employ a model predictive control (MPC)-based approach, which allows for real-time adaptive control of the UAV’s trajectory by considering future states and disturbances. This approach significantly improves the network’s resilience to dynamic environments and potential eavesdropping threats. Simulation results show that the proposed joint optimization of power allocation and trajectory design not only enhances communication security but also demonstrates the effectiveness of the MPC framework in real-time trajectory tracking, ensuring robust performance under varying environmental conditions. |
| format | Article |
| id | doaj-art-1b5bf6dcbeb044b983556c27a574c242 |
| institution | DOAJ |
| issn | 1687-1499 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj-art-1b5bf6dcbeb044b983556c27a574c2422025-08-20T03:09:35ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992025-05-012025111710.1186/s13638-025-02454-zSecure communications for UAV relay networks: a MPC-based trajectory tracking approachShizhan Lan0Lei Zhong1Bin Tan2Yeyu Liang3Shan Chen4Hanghang Xie5School of Software Engineering, South China University of TechnologyChina Mobile Guangxi Co., LtdChina Mobile Guangxi Co., LtdChina Mobile Guangxi Co., LtdChina Mobile Guangxi Co., LtdChina Mobile Guangxi Co., LtdAbstract Unmanned aerial vehicles (UAVs) have emerged as a promising solution to enhance communication networks, especially in scenarios where traditional infrastructure is impractical or unavailable. However, the reliance on line-of-sight channels in UAV-assisted relay networks introduces significant security vulnerabilities. This paper proposes a novel framework that jointly optimizes transmit power and UAV trajectory to achieve secure communications in such networks. To enhance system performance against environmental uncertainties, we employ a model predictive control (MPC)-based approach, which allows for real-time adaptive control of the UAV’s trajectory by considering future states and disturbances. This approach significantly improves the network’s resilience to dynamic environments and potential eavesdropping threats. Simulation results show that the proposed joint optimization of power allocation and trajectory design not only enhances communication security but also demonstrates the effectiveness of the MPC framework in real-time trajectory tracking, ensuring robust performance under varying environmental conditions.https://doi.org/10.1186/s13638-025-02454-zUAVMPCTrajectory designPower allocation |
| spellingShingle | Shizhan Lan Lei Zhong Bin Tan Yeyu Liang Shan Chen Hanghang Xie Secure communications for UAV relay networks: a MPC-based trajectory tracking approach EURASIP Journal on Wireless Communications and Networking UAV MPC Trajectory design Power allocation |
| title | Secure communications for UAV relay networks: a MPC-based trajectory tracking approach |
| title_full | Secure communications for UAV relay networks: a MPC-based trajectory tracking approach |
| title_fullStr | Secure communications for UAV relay networks: a MPC-based trajectory tracking approach |
| title_full_unstemmed | Secure communications for UAV relay networks: a MPC-based trajectory tracking approach |
| title_short | Secure communications for UAV relay networks: a MPC-based trajectory tracking approach |
| title_sort | secure communications for uav relay networks a mpc based trajectory tracking approach |
| topic | UAV MPC Trajectory design Power allocation |
| url | https://doi.org/10.1186/s13638-025-02454-z |
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