Joint UAV Placement and IRS Phase Shift Optimization in Downlink Networks

This study investigates the integration of an intelligent reflecting surface (IRS) into an unmanned aerial vehicle (UAV) platform to utilize the advantages of these leading technologies for sixth-generation communications, e.g., improved spectral and energy efficiency, extended network coverage, and...

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Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.1-1
Main Authors: Nguyen-Kha, Hung, Nguyen, Hieu V., Le, Mai T. P., Shin, Oh-Soon
Format: Article
Language:English
Subjects:
Antennas
Array signal processing
Autonomous aerial vehicles
Beamforming
convex optimization
Downlink
Downlinking
Ground stations
intelligent reflecting surface (IRS)
Iterative algorithms
Iterative methods
Numerical methods
Optimization
Phase shift
Placement
Relays
Three-dimensional displays
UAV-mounted IRS
unmanned aerial vehicle (UAV)
Unmanned aerial vehicles
Wireless communication
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Summary:This study investigates the integration of an intelligent reflecting surface (IRS) into an unmanned aerial vehicle (UAV) platform to utilize the advantages of these leading technologies for sixth-generation communications, e.g., improved spectral and energy efficiency, extended network coverage, and flexible deployment. In particular, we investigate a downlink IRS-UAV system, wherein single-antenna ground users (UEs) are served by a multi-antenna base station (BS). To assist the communication between UEs and the BS, an IRS mounted on a UAV is deployed, in which the direct links are obstructed owing to the complex urban channel characteristics. The beamforming at the BS, phase shift at the IRS, and the 3D placement of the UAV are jointly optimized to maximize the sum rate. Because the optimization variables, particularly the beamforming and IRS phase shift, are highly coupled with each other, the optimization problem is naturally non-convex. To effectively solve the formulated problem, we propose an iterative algorithm that employs block coordinate descent and inner approximation methods. Numerical results demonstrate the effectiveness of our proposed approach for a UAV-mounted IRS system on the sum rate performance over the state-of-the-art technology using the terrestrial counterpart.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3214663