Joint Optimization of UAV Position, Time Slot Allocation, and Computation Task Partition in Multiuser Aerial Mobile-Edge Computing Systems

被引：75

作者：

Hu, Jiawen ^{[1
,2
]}

Jiang, Miao ^{[1
,2
]}

Zhang, Qi ^{[1
,2
]}

Li, Quanzhong ^{[3
]}

Qin, Jiayin ^{[1
,2
,4
]}

机构：

[1] Sun Yat Sen Univ, Sch Elect & Informat Technol, Guangzhou 510006, Guangdong, Peoples R China

[2] Sun Yat Sen Univ, Key Lab Machine Intelligence & Adv Comp, Minist Educ, Guangzhou, Guangdong, Peoples R China

[3] Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510006, Guangdong, Peoples R China

[4] Sun Yat Sen Univ, Xinhua Coll, Guangzhou 510520, Guangdong, Peoples R China

来源：

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2019年 / 68卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Augmented Lagrangian active set; mobile edge computing (MEC); unmanned aerial vehicle (UAV);

D O I：

10.1109/TVT.2019.2915836

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：

In this correspondence paper, an unmanned aerial vehicle (UAV) enabled mobile-edge computing (MEC) server is considered to provide MEC services for multiple ground users by employing a time-division multiple access protocol. Our objective is to solve the joint optimization problem of UAV position, time slot allocation, and computation task partition, which minimizes the system energy consumption of all users while ensuring the successful task computation of all users during a time block. We propose a globally optimal solution, which is found by two-dimensional search over possible UAV positions. In each search, we theoretically derive the semi-closed-form solution to the joint optimization of time slot allocation and computation task partition by employing augmented Lagrangian active set method. An alternating optimization scheme to find the locally optimal solution is also proposed. It is shown through numerical results that our proposed schemes are superior to the no offloading, full offloading, and gravity center offloading schemes.

引用

页码：7231 / 7235

页数：5