TY - JOUR
T1 - Optimizing Multi-UAV Deployment in 3-D Space to Minimize Task Completion Time in UAV-Enabled Mobile Edge Computing Systems
AU - Sun, Sujunjie
AU - Zhang, Guopeng
AU - Mei, Haibo
AU - Wang, Kezhi
AU - Yang, Kun
PY - 2021/2
Y1 - 2021/2
N2 - In Unmanned Aerial Vehicle (UAV)-enabled mobile edge computing (MEC) systems, UAVs can carry edge servers to help ground user equipment (UEs) offloading their computing tasks to the UAVs for execution. This letter aims to minimize the total time required for the UAVs to complete the offloaded tasks, while optimizing the three-dimensional (3-D) deployment of UAVs, including their flying height and horizontal positions. Although the formulated optimization is a mixed integer nonlinear programming, we convert it to a convex problem and develop a successive convex approximation (SCA) based algorithm to effectively solve it. The simulation results show that the joint optimization of the horizontal and the vertical position of a group of UAVs can achieve better performance than the traditional algorithms.
AB - In Unmanned Aerial Vehicle (UAV)-enabled mobile edge computing (MEC) systems, UAVs can carry edge servers to help ground user equipment (UEs) offloading their computing tasks to the UAVs for execution. This letter aims to minimize the total time required for the UAVs to complete the offloaded tasks, while optimizing the three-dimensional (3-D) deployment of UAVs, including their flying height and horizontal positions. Although the formulated optimization is a mixed integer nonlinear programming, we convert it to a convex problem and develop a successive convex approximation (SCA) based algorithm to effectively solve it. The simulation results show that the joint optimization of the horizontal and the vertical position of a group of UAVs can achieve better performance than the traditional algorithms.
KW - Modelling and Simulation
KW - Electrical and Electronic Engineering
KW - Computer Science Applications
U2 - 10.1109/lcomm.2020.3029144
DO - 10.1109/lcomm.2020.3029144
M3 - Article
VL - 25
SP - 579
EP - 583
JO - IEEE Communications Letters
JF - IEEE Communications Letters
SN - 1089-7798
IS - 2
ER -