Space Deployment Algorithm for UAV-IRS-Based Systems Using a Ck++ Optimizer

With the popularity of 5G mobile communication services, the number of users has increased dramatically, as well as the nonuniformity of user density distribution; many users are in nonideal channel conditions, so unmanned aerial vehicle (UAV) as a passive relay equipment platform has gradually ente...

Full description

Saved in:
Bibliographic Details
Published in:Wireless communications and mobile computing 2022, Vol.2022, p.1-10
Main Authors: Lu, Hao, Mao, Minghe, Sun, Jianjun
Format: Article
Language:English
Subjects:
5G mobile communication
Algorithms
Clustering
Communications networks
Density distribution
Electromagnetic absorption
Energy consumption
Energy efficiency
Flexibility
Nonuniformity
Propagation
Relay
Unmanned aerial vehicles
Wireless communications
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:With the popularity of 5G mobile communication services, the number of users has increased dramatically, as well as the nonuniformity of user density distribution; many users are in nonideal channel conditions, so unmanned aerial vehicle (UAV) as a passive relay equipment platform has gradually entered people’s vision. Intelligent reflective surfaces (IRSs) capable of reconfiguring electromagnetic absorption and reflection properties in real-time are offering unprecedented opportunities to enhance wireless communication experience in challenging environments. In this paper, we start from the point of minimizing the energy consumption and nodes of UAV passive relay; the paper proposes to install intelligent reflecting surface (IRS) on UAV as a new passive relay and establish the communication coverage model of UAV-IRS. Then, the main relationship between the coverage radius and hover height of UAV-IRS is verified. In view of different distribution densities of target users, a CK++ (cyclic k-means++) is proposed to solve the spatial deployment problem of UAV-IRS, where the optimal solution of the system is obtained through cyclic clustering. And the algorithm is verified to effectively improve the performance of urban mobile communication and user communication service quality through numerical stimulation.
ISSN:1530-8669
1530-8677
DOI:10.1155/2022/7916305