TY - GEN
T1 - Joint Scheduling and Trajectory Design for UAV-Aided Wireless Power Transfer System
AU - Wang, Yi
AU - Hua, Meng
AU - Liu, Zhi
AU - Zhang, Di
AU - Dai, Haibo
AU - Hu, Ying
N1 - Funding Information:
Abstract. In this paper, we focus on an unmanned aerial vehicle (UAV)-aided wireless power transfer (WPT) system, where an energy transmitter is deployed on UAV and sends wireless energy to multiple energy-limited sensor nodes (SNs) for energy supplement. How to exploit the UAV’s mobility via trajectory design and adopt suitable scheduling scheme of SNs will directly influence the whole charging efficiency over a given charging period. From the perspective of fairness among SNs, our aim is to maximize the minimum energy received by all SNs by jointly optimizing the UAV’s trajectory and SNs’ scheduling scheme with the UAV’s maximum speed constraint as well as the initial/final location This work was supported in part by the National Natural Science Foundation of China under Grant 61801435, Grant 61801243 and Grant U1833203, in part by the Project funded by China Postdoctoral Science Foundation under Grant 2018M633733, in part by the Scientific and Technological Key Project of Henan Province under Grant 182102210449 and Grant 192102210246, in part by the Scientific Key Research Project of Henan Province for Colleges and Universities under Grand 19A510024, in part by Science and Technology Innovation Teams of Henan Province for Colleges and Universities (No. 17IRTSTHN014), in part by the Natural Science Research Project of Jiangsu Province for Colleges and Universities (No. 16KJB510008).
Publisher Copyright:
© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019.
PY - 2019
Y1 - 2019
N2 - In this paper, we focus on an unmanned aerial vehicle (UAV)-aided wireless power transfer (WPT) system, where an energy transmitter is deployed on UAV and sends wireless energy to multiple energy-limited sensor nodes (SNs) for energy supplement. How to exploit the UAV’s mobility via trajectory design and adopt suitable scheduling scheme of SNs will directly influence the whole charging efficiency over a given charging period. From the perspective of fairness among SNs, our aim is to maximize the minimum energy received by all SNs by jointly optimizing the UAV’s trajectory and SNs’ scheduling scheme with the UAV’s maximum speed constraint as well as the initial/final location constraint. However, the established problem is in a non-convex mixed integer form, which is difficult to tackle. Therefore, we first decompose the original problem into two subproblems and then develop an efficient iterative algorithm by using the successive convex optimization technique, which leads to a suboptimal solution. Numerical results are provided to demonstrate the superiority of our proposed algorithm over the benchmarks.
AB - In this paper, we focus on an unmanned aerial vehicle (UAV)-aided wireless power transfer (WPT) system, where an energy transmitter is deployed on UAV and sends wireless energy to multiple energy-limited sensor nodes (SNs) for energy supplement. How to exploit the UAV’s mobility via trajectory design and adopt suitable scheduling scheme of SNs will directly influence the whole charging efficiency over a given charging period. From the perspective of fairness among SNs, our aim is to maximize the minimum energy received by all SNs by jointly optimizing the UAV’s trajectory and SNs’ scheduling scheme with the UAV’s maximum speed constraint as well as the initial/final location constraint. However, the established problem is in a non-convex mixed integer form, which is difficult to tackle. Therefore, we first decompose the original problem into two subproblems and then develop an efficient iterative algorithm by using the successive convex optimization technique, which leads to a suboptimal solution. Numerical results are provided to demonstrate the superiority of our proposed algorithm over the benchmarks.
KW - SNs scheduling
KW - Trajectory optimization
KW - Unmanned aerial vehicle (UAV)
KW - Wireless power transfer (WPT)
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UR - http://www.scopus.com/inward/citedby.url?scp=85065223651&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-17513-9_1
DO - 10.1007/978-3-030-17513-9_1
M3 - Conference contribution
AN - SCOPUS:85065223651
SN - 9783030175122
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 3
EP - 17
BT - 5G for Future Wireless Networks - 2nd EAI International Conference, 5GWN 2019, Proceedings
A2 - Zhang, Haijun
A2 - Leung, Victor C.M.
A2 - Liu, Qiang
A2 - Hu, Xiping
A2 - Liu, Zhi
PB - Springer Verlag
T2 - 2nd International Conference on 5G for Future Wireless Networks, 5GWN 2019
Y2 - 23 February 2019 through 24 February 2019
ER -