Altitude Optimization and Task Allocation of UAV-Assisted MEC Communication System

被引:9
作者
Huang, Shuqi [1 ]
Zhang, Jun [2 ]
Wu, Yi [1 ]
机构
[1] Fujian Normal Univ, Fujian Prov Engn Technol Res Ctr Photoelect Sensi, Fuzhou 350007, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Jiangsu Key Lab Wireless Commun, Nanjing 210003, Peoples R China
基金
中国国家自然科学基金;
关键词
UAV communication; mobile edge computing; delay; UAV altitude; task allocation; RESOURCE-ALLOCATION; DEPLOYMENT; PLACEMENT; DELAY;
D O I
10.3390/s22208061
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Unmanned aerial vehicles (UAVs) are widely used in wireless communication systems due to their flexible mobility and high maneuverability. The combination of UAVs and mobile edge computing (MEC) is regarded as a promising technology to provide high-quality computing services for latency-sensitive applications. In this paper, a novel UAV-assisted MEC uplink maritime communication system is proposed, where an MEC server is equipped on UAV to provide flexible assistance to maritime user. In particular, the task of user can be divided into two parts: one portion is offloaded to UAV and the remaining portion is offloaded to onshore base station for computing. We formulate an optimization problem to minimize the total system latency by designing the optimal flying altitude of UAV and the optimal task allocation ratio. We derive a semi closed-form expression of the optimal flying altitude of UAV and a closed-form expression of the optimal task allocation ratio. Simulation results demonstrate the precision of the theoretical analyses and show some interesting insights.
引用
收藏
页数:14
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