Title
Fair Data Allocation and Trajectory Optimization for UAV-Assisted Mobile Edge Computing
Abstract
This letter investigates fairness-aware task data allocation and trajectory optimization in unmanned aerial vehicles (UAV)-assisted mobile edge computing (MEC) systems, where a fixed-wing UAV is used as a flying computing server to receive task data of mobile terminals (MTs). Under the fairness consideration, we aim to minimize the maximum energy consumption among all MTs. Despite the non-convexity of the original formulated joint optimization problem, we transform the problem into two convex sub-problems by introducing auxiliary variables, and solve them jointly by proposing an iterative algorithm. Simulation results show that the proposed algorithm can effectively reduce the maximum energy consumption among all MTs.
Year
DOI
Venue
2019
10.1109/LCOMM.2019.2943461
IEEE Communications Letters
Keywords
Field
DocType
Task analysis,Energy consumption,Resource management,Servers,Trajectory optimization
Trajectory optimization,Computer science,Iterative method,Regular polygon,Auxiliary variables,Real-time computing,Mobile edge computing,Data allocation,Energy consumption,Optimization problem
Journal
Volume
Issue
ISSN
23
12
1089-7798
Citations 
PageRank 
References 
7
0.43
0
Authors
5
Name
Order
Citations
PageRank
Xianbang Diao171.44
Jianchao Zheng222316.21
Yueming Cai3918102.96
Yuan Wu453861.11
Alagan Anpalagan51263125.52