UAV-Enabled SWIPT in IoT Networks for Emergency Communications

被引:65
|
作者
Feng, Wanmei [1 ]
Tang, Jie [2 ]
Yu, Yu [1 ]
Song, Jingru [1 ]
Zhao, Nan [3 ]
Chen, Gaojie [4 ]
Wong, Kai-Kit [7 ]
Chambers, Jonathon [5 ,6 ]
机构
[1] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou, Peoples R China
[2] South China Univ Technol, Guangzhou, Peoples R China
[3] Dalian Univ Technol, Dalian, Peoples R China
[4] Univ Leicester, Wireless Commun, Sch Engn, Leicester, Leics, England
[5] Univ Leicester, Signal Proc, Leicester, Leics, England
[6] Univ Leicester, Engn, Leicester, Leics, England
[7] UCL, Wireless Commun, Dept Elect & Elect Engn, London, England
基金
中国国家自然科学基金;
关键词
Trajectory; Wireless communication; Phased arrays; Three-dimensional displays; Erbium; Optimization; POWER TRANSFER; MAXIMIZATION;
D O I
10.1109/MWC.001.1900656
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Energy-limited devices and connectivity in complicated environments are two main challenges for Internet of Things (IoT)-enabled mobile networks, especially when IoT devices are distributed in a disaster area. Unmanned aerial vehicle (UAV)-enabled simultaneous wireless information and power transfer (SWIPT) is emerging as a promising technique to tackle the above problems. In this article, we establish an emergency communications framework of UAV-enabled SWIPT for IoT networks, where the disaster scenarios are classified into three cases, namely, dense areas, wide areas and emergency areas. First, to realize wireless power transfer for IoT devices in dense areas, a UAV-enabled wireless power transfer system is considered where a UAV acts as a wireless charger and delivers energy to a set of energy receivers. Then, a joint trajectory planning and resource scheduling scheme for a multi-UAVs system is discussed to provide wireless services for IoT devices in wide areas. Furthermore, an intelligent prediction mechanism is designed to predict service requirements (i.e., data transmission and battery charging) of the devices in emergency areas, and accordingly, a dynamic path planning scheme is established to improve the energy efficiency (EE) of the system. Simulation results demonstrate the effectiveness of the above schemes. Finally, potential research directions and challenges are also discussed.
引用
收藏
页码:140 / 147
页数:8
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