Energy Minimization for UAV-Enabled Wireless Power Transfer and Relay Networks

被引:3
|
作者
He, Zhenyao [1 ,2 ]
Ji, Yukuan [3 ]
Wang, Kezhi [4 ]
Xu, Wei [1 ,2 ]
Shen, Hong [5 ]
Wang, Ning [6 ]
You, Xiaohu [1 ,2 ]
机构
[1] Southeast Univ, Frontiers Sci Ctr Mobile Informat Commun & Secur, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[2] Purple Mt Labs, Nanjing 211111, Peoples R China
[3] Nanjing Power Supply Co, State Grid Jiangsu Elect Power Co Ltd, Nanjing 210000, Peoples R China
[4] Brunel Univ London, Dept Comp Sci, Uxbridge UB8 3PH, England
[5] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[6] Zhengzhou Univ, Sch Informat Engn, Zhengzhou 450001, Peoples R China
关键词
Trajectory; Autonomous aerial vehicles; Wireless communication; Optimization; Internet of Things; Relay networks; Quality of service; Joint optimization; mobile relay; trajectory design; unmanned aerial vehicle (UAV); wireless power transfer (WPT); THROUGHPUT MAXIMIZATION; RESOURCE-ALLOCATION; TRAJECTORY DESIGN; INFORMATION; OPTIMIZATION; INTERNET;
D O I
10.1109/JIOT.2023.3281584
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, we consider an unmanned aerial vehicle (UAV)-enabled wireless power transfer (WPT) and relay communication network consisting of a base station (BS), a UAV, and multiple ground users. The UAV acts as both a wireless power transmission source and an uplink communication relay. Specifically, an entire transmission period of the considered system is divided into two stages. In the first stage, the UAV transfers the power to the ground users along a well-optimized flight trajectory and meanwhile, the users transmit data to the UAV using the harvested energy. Subsequently, in the second stage, the UAV flies to the vicinity of the BS and forwards the data to the BS. For the purpose of minimizing the energy consumed by the UAV, we jointly optimize the time durations of the two stages, the UAV's transmit powers for WPT and data forwarding, as well as its flight trajectory, subject to the constraints of the Quality of Service (QoS), the information forwarding, the energy causality, and the mobility of the UAV. The involved optimization problem is nonconvex and highly intractable. To this end, we propose an efficient alternating algorithm to iteratively solve the two subproblems with respect to the time durations of the two stages and the UAV's transmit powers and trajectory, respectively. The first subproblem has a closed-form optimal solution and the second subproblem is handled by addressing a surrogate convex problem based on the technique of successive convex approximation. Finally, the simulation results confirm the superiority of our proposed algorithm.
引用
收藏
页码:19141 / 19152
页数:12
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