DOI码：10.1109/TVT.2019.2915836

发表刊物：IEEE Transactions on Vehicular Technology

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.

合写作者：姜淼,李全忠,秦家银

第一作者：胡佳文

论文类型：期刊论文

通讯作者：张旗

学科门类：工学

一级学科：信息与通信工程

文献类型：J

卷号：68

期号：7

页面范围：7231—7235

ISSN号：1939-9359

是否译文：否

发表时间：2019-07-01

收录刊物：SCI

发布期刊链接：https://ieeexplore.ieee.org/document/8710282