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This study investigates the integration of an intelligent reflecting surface(IRS) into an unmanned aerial vehicle (UAV) platform to utilize the advantagesof these leading technologies for sixth-generation communications, e.g.,improved spectral and energy efficiency, extended network coverage, andflexible deployment. In particular, we investigate a downlink IRS-UAV system,wherein single-antenna ground users (UEs) are served by a multi-antenna basestation (BS). To assist the communication between UEs and the BS, an IRSmounted on a UAV is deployed, in which the direct links are obstructed owing tothe complex urban channel characteristics. The beamforming at the BS, phaseshift at the IRS, and the 3D placement of the UAV are jointly optimized tomaximize the sum rate. Because the optimization variables, particularly thebeamforming and IRS phase shift, are highly coupled with each other, theoptimization problem is naturally non-convex. To effectively solve theformulated problem, we propose an iterative algorithm that employs blockcoordinate descent and inner approximation methods. Numerical resultsdemonstrate the effectiveness of our proposed approach for a UAV-mounted IRSsystem on the sum rate performance over the state-of-the-art technology usingthe terrestrial counterpart.

Joint UAV Placement and IRS Phase Shift Optimization in Downlink Networks