Detailed Information

Cited 1 time in webofscience Cited 1 time in scopus
Metadata Downloads

Joint Optimization of UAV Trajectory and Communication Resources With Complete Avoidance of No-Fly-Zones

Authors
Heo, KanghyunPark, GitaeLee, Kisong
Issue Date
Oct-2024
Publisher
IEEE
Keywords
Autonomous aerial vehicles; Trajectory; Optimization; Throughput; Surveillance; Wireless communication; Transforms; Unmanned aerial vehicle; communications; no-fly-zone; trajectory design; convex optimization
Citation
IEEE Transactions on Intelligent Transportation Systems, v.25, no.10, pp 14259 - 14265
Pages
7
Indexed
SCIE
SCOPUS
Journal Title
IEEE Transactions on Intelligent Transportation Systems
Volume
25
Number
10
Start Page
14259
End Page
14265
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/22149
DOI
10.1109/TITS.2024.3403887
ISSN
1524-9050
1558-0016
Abstract
In this paper, we explore a joint optimization of unmanned aerial vehicle (UAV) trajectory and communication resources with complete avoidance of no-fly-zones (NFZs). In particular, we introduce a new constraint that allows the UAV to perfectly avoid NFZs throughout the entire continuous trajectory with rigorous mathematical proof. Under the proposed constraint on NFZs, we aim to optimize the scheduling, transmit power, length of the time slot, and trajectory of the UAV to maximize the minimum throughput among ground nodes without violating NFZs. To find the optimal UAV strategy from the non-convex optimization problem formulated here, we use various optimization techniques, such as quadratic transform, successive convex approximation, and the block coordinate descent algorithm. Simulation results confirm that the proposed constraint prevents NFZs from being violated over the entire trajectory in any scenario. Furthermore, the proposed scheme shows significantly higher throughput than the baseline scheme using the traditional NFZ constraint by achieving a zero outage probability due to NFZ violations.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Information and Communication Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Ki Song photo

Lee, Ki Song
College of Engineering (Department of Information and Communication Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE