Energy-Efficient D2D-Aided Dual UAV Data Collection

HUANG Qiulei; WANG Wei; SONG Zhaohui; ZHAO Nan

doi:10.23919/cje.2023.00.271

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Qiulei HUANG, Wei WANG, Zhaohui SONG, et al., “Energy-Efficient D2D-Aided Dual UAV Data Collection,” Chinese Journal of Electronics, vol. x, no. x, pp. 1–10, xxxx doi: 10.23919/cje.2023.00.271

Citation:

Qiulei HUANG, Wei WANG, Zhaohui SONG, et al., “Energy-Efficient D2D-Aided Dual UAV Data Collection,” Chinese Journal of Electronics, vol. x, no. x, pp. 1–10, xxxx doi: 10.23919/cje.2023.00.271

Qiulei HUANG, Wei WANG, Zhaohui SONG, et al., “Energy-Efficient D2D-Aided Dual UAV Data Collection,” Chinese Journal of Electronics, vol. x, no. x, pp. 1–10, xxxx doi: 10.23919/cje.2023.00.271

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Energy-Efficient D2D-Aided Dual UAV Data Collection

doi: 10.23919/cje.2023.00.271

HUANG Qiulei^1
,,
WANG Wei^1
,,
SONG Zhaohui^2
,,
ZHAO Nan^{1
,
,}

1.
School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China
2.
Hangzhou Dianzi University, Hangzhou 310018, China

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Author Bio:
Qiulei HUANG received the B.S. degree from the Dalian University of Technology, China, in 2021. He is currently pursuing the Ph.D. degree with the School of Information and Communication Engineering, Dalian University of Technology. His current research interests include non-orthogonal multiple access, unmanned aerial vehicle communication, and wireless communication. (Email: qiuleihuang@mail.dlut.edu.cn)

Wei WANG received the B.S. degree from the Hefei University of Technology, China, in 2018. He is currently pursuing the Ph.D. degree with the School of Information and Communication Engineering, Dalian University of Technology, China. His current research interests include non-orthogonal multiple access, wireless power transfer, and physical layer security. (Email: 21809066@mail.dlut.edu.cn)

Zhaohui SONG received the B.S. degree, M.E. degree, and Ph.D. degree from the Harbin Institute of Technology, Harbin, China, in 1992, 1998, and 2006, respectively. He has been a professor at the Harbin Institute of Technology. He has been a professor at Hangzhou Dianzi University since 2022. His research interests mainly focus on antenna theory and technology, microwave circuits and systems, electromagnetic wave propagation theory, space information perception, and transmission. (Email: songzh@hdu.edu.cn)

Nan ZHAO is currently a Professor at Dalian University of Technology, China. He received the Ph.D. degree in information and communication engineering in 2011, from Harbin Institute of Technology, Harbin, China.Dr. Zhao is serving on the editorial boards of IEEE Wireless Communications and IEEE Wireless Communications Letters. He won the best paper awards in IEEE VTC 2017 Spring, ICNC 2018, WCSP 2018 and WCSP 2019. He also received the IEEE Communications Society Asia Pacific Board Outstanding Young Researcher Award in 2018. (Email: zhaonan@dlut.edu.cn)
Corresponding author: Email: zhaonan@dlut.edu.cn
Received Date: 2023-08-08
Accepted Date: 2024-02-27

Available Online: 2024-04-28

Abstract

Abstract

Aided by device-to-device (D2D) connections, unmanned aerial vehicle (UAV) can significantly enhance the coverage of wireless communications. In this paper, we consider a data collection system with the assistance of D2D, where two fixed-wing UAVs as aerial base stations cooperatively serve the ground devices. To accommodate more devices, we propose two effective algorithms to establish the multi-hop D2D connections. Then, the user scheduling, UAV trajectory and transmit power are jointly optimized to maximize the energy efficiency, which is a non-convex problem. Accordingly, we decompose it into three subproblems. The scheduling optimization is first converted into a linear programming. Then, the trajectory design and the transmit power optimization are reformulated as two convex problems by the Dinkelbach method. Finally, an iterative algorithm is proposed to effectively solve the original problem. Simulation results are presented to verify the effectiveness of the proposed scheme.
- Data collection,
- device-to-device,
- energy efficiency,
- trajectory optimization,
- unmanned aerial vehicle

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References(28)

References

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