Integrated UAV Trajectory Control and Resource Allocation for UAV-Based Wireless Networks with Co-channel Interference Management

In this paper, we study the trajectory control, sub-channel assignment, and user association design for unmanned aerial vehicles (UAVs)-based wireless networks. We propose a method to optimize the max-min average rate subject to data demand constraints of ground users (GUs) where spectrum reuse and...

Full description

Saved in:
Bibliographic Details
Published in:IEEE internet of things journal Vol. 9; no. 14; p. 1
Main Authors: Nguyen, Minh Dat, Le, Long Bao, Girard, Andre
Format: Journal Article
Language:English
Published: Piscataway IEEE 15.07.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Autonomous aerial vehicles
Bandwidth
Channel allocation
Cochannel interference
Internet of Things
Iterative methods
Mixed integer
mixed integer non-linear programming
Optimization
Resource allocation
sub-channel assignment
Trajectory
Trajectory control
UAV trajectory
Unmanned aerial vehicles
user association
Wireless networks
ISSN:2327-4662, 2327-4662
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, we study the trajectory control, sub-channel assignment, and user association design for unmanned aerial vehicles (UAVs)-based wireless networks. We propose a method to optimize the max-min average rate subject to data demand constraints of ground users (GUs) where spectrum reuse and co-channel interference management are considered. The mathematical model is a mixed integer non-linear optimization problem which we solve by using the alternating optimization approach where we iteratively optimize the user association, sub-channel assignment, and UAV trajectory control until convergence. For the sub-channel assignment sub-problem, we propose an iterative sub-channel assignment (ISA) algorithm to obtain an efficient solution. Moreover, the successive convex approximation (SCA) is used to convexify and solve the non-convex UAV trajectory control sub-problem. Via extensive numerical studies, we illustrate the effectiveness of our proposed design considering different UAV flight periods and number of sub-channels and GUs as compared with a simple heuristic.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2021.3138374