Trajectory Optimization Research of Wireless Power Communication Networks Assisted by Aerial Intelligent Reflecting Surface

ZHOU Yi; JIN Zhanqi; SHI Huaguang; TIAN Yuxiang; SHI Lei; ZHANG Yanyu

doi:10.11999/JEIT230830

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ZHOU Yi, JIN Zhanqi, SHI Huaguang, TIAN Yuxiang, SHI Lei, ZHANG Yanyu. Trajectory Optimization Research of Wireless Power Communication Networks Assisted by Aerial Intelligent Reflecting Surface[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT230830

Citation:

ZHOU Yi, JIN Zhanqi, SHI Huaguang, TIAN Yuxiang, SHI Lei, ZHANG Yanyu. Trajectory Optimization Research of Wireless Power Communication Networks Assisted by Aerial Intelligent Reflecting Surface[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT230830

Citation:

ZHOU Yi, JIN Zhanqi, SHI Huaguang, TIAN Yuxiang, SHI Lei, ZHANG Yanyu. Trajectory Optimization Research of Wireless Power Communication Networks Assisted by Aerial Intelligent Reflecting Surface[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT230830

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Trajectory Optimization Research of Wireless Power Communication Networks Assisted by Aerial Intelligent Reflecting Surface

doi: 10.11999/JEIT230830

ZHOU Yi^{1, 2},
JIN Zhanqi^{1, 2},
SHI Huaguang^{1, 3
,
,},
TIAN Yuxiang^{1, 2},
SHI Lei^{1, 2},
ZHANG Yanyu^{1, 2}

1.
School of Artificial Intelligence, Henan University, Zhengzhou 450046, China
2.
International Joint Research Laboratory for Cooperative Vehicular Networks of Henan, Zhengzhou 450046, China
3.
Henan Engineering Research Center for Industrial Internet of Things, Zhengzhou 450046, China

Funds: The National Natural Science Foundation of China (62176088, 62303159), International Strategic Innovative Project of National Key Research & Development Program of China (2023YFE0112500), The China Postdoctoral Science Foundation (2023M741008), The Program for Science & Technology Development of Henan Province (222102210022), The Young Elite Scientist Sponsorship Program by Henan Association for Science and Technology (2022HYTP013)

Received Date: 2023-08-02
Rev Recd Date: 2024-01-22

Available Online: 2024-02-19

Abstract

Abstract

Unmanned Aerial Vehicle (UAV) equipped with Intelligent Reflecting Surface (IRS) can effectively solve the problem of inefficient information and energy transmission between the hybrid access point and nodes in complex wireless scenarios due to obstacle occlusion. A novel framework for aerial IRS-assisted wireless powered communication networks is proposed that exploits the flexibility of aerial IRS to improve the performance of the network. The architecture achieves the transmission of energy and data for each time slot employing the harvest-then-transmit scheme. A multi-variable coupled optimization problem that combines the flight trajectory, node selection association variable, time slot allocation ratio, and the phase is established while satisfying the node energy harvesting threshold. Thus, the block coordinate descent algorithm is utilized to decompose the optimization problem into four sub-problems to be solved separately. Firstly, the closed-form solution for the optimal phase of the intelligent reflecting surface is derived based on the beam alignment theory. Secondly, the non-convex problem is transformed into a convex problem by introducing auxiliary variables and employing a successive convex approximation algorithm. Finally, the solution is iteratively solved utilizing the block coordinate descent algorithm. Simulation results show that the proposed scheme has excellent convergence performance and significantly improve the average throughput.
- Wireless Powered Communication Network(WPCN),
- Intelligent Reflecting Surface(IRS),
- Unmanned Aerial Vehicle(UAV),
- Trajectory optimization

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References(19)

References

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