Joint Resource Allocation and Trajectory Optimization for Completion Time Minimization for Energy-Constrained UAV Communications

An unmanned-aerial-vehicle (UAV)-aided communication scenario is studied in this research, where a UAV with constrained on-board battery capacity communicates with multiple ground users (GUs) during the flying process. We investigate the UAV trajectory as well as the resource allocation to minimize...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on vehicular technology 2023-04, Vol.72 (4), p.4568-4579
Main Authors: Du, Wenbo, Wang, Tao, Zhang, Haijun, Dong, Yunfan, Li, Yumeng
Format: Article
Language:English
Subjects:
Autonomous aerial vehicles
Bandwidth
Batteries
Completion time
Iterative algorithms
Minimization
Power demand
Resource allocation
Resource management
Trajectory
Trajectory optimization
Unmanned aerial vehicle
Unmanned aerial vehicles
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:An unmanned-aerial-vehicle (UAV)-aided communication scenario is studied in this research, where a UAV with constrained on-board battery capacity communicates with multiple ground users (GUs) during the flying process. We investigate the UAV trajectory as well as the resource allocation to minimize the time consumption of the specific task. The formulated problem is non-convex with innumerable variables. To make this problem tractable, a collection of line segments are utilized to represent the real trajectory through discretization. The reformulated problem is solved by applying the block coordinate descent (BCD) algorithm. To be specific, the reformulated problem is decoupled into two subproblems, i.e., resource allocation and trajectory optimization subproblems. The subproblems are both non-convex, which are efficiently resolved with the successive convex approximation (SCA) method. Then the result is obtained with an iterative algorithm. The simulation results reveal that, in comparison to benchmark schemes, the system performance has a significant improvement.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2022.3222526