Power optimisation in UAV-assisted wireless powered cooperative mobile edge computing systems

被引:16
|
作者
Lu, Weidang [1 ]
Xu, Xiaohan [1 ]
Ye, Qibin [2 ]
Li, Bo [3 ]
Peng, Hong [1 ]
Hu, Su [2 ]
Gong, Yi [4 ]
机构
[1] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Peoples R China
[2] Univ Elect Sci & Technol China, Natl Key Lab Commun, Chengdu 611731, Peoples R China
[3] Harbin Inst Technol, Sch Informat & Sci Engn, Weihai 264209, Peoples R China
[4] Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
inductive power transmission; cooperative communication; autonomous aerial vehicles; mobile computing; remotely operated vehicles; WPT; authors study power optimisation; mobile device; joint power optimisation; computational task; UAV-assisted wireless powered cooperative mobile edge computing systems; computing power; wireless powered MEC system; short-distance line-of-sight path power transfer; RESOURCE-ALLOCATION; COMMUNICATION; NETWORKS;
D O I
10.1049/iet-com.2019.1063
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Wireless power transfer (WPT) and mobile edge computing (MEC) are two prospective technologies to enhance the computing power and endurance of mobile devices. Integrating unmanned aerial vehicle (UAV) into wireless powered MEC system, the energy collection efficiency can be effectively improved with the short-distance line-of-sight path power transfer. However, WPT is susceptible to the 'double near-far' effect. Therefore, in this study, the authors study power optimisation in UAV-assisted wireless powered cooperative MEC system, which utilises the user cooperation to make the mobile device which is closer to the UAV acting as a relay for offloading. They aim to minimise the total transmission energy of the UAV through the joint power optimisation while satisfying the delay and size of the computational task. Simulation results demonstrate the performance of the proposed scheme.
引用
收藏
页码:2516 / 2523
页数:8
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