2024/09/04 by Xiao-Wei Tang, Tang, Xiao-Wei, Yunmei Shi +5 · 1 citation
Engineering · #Aerospace Engineering and Energy Systems #Antenna Design and Analysis #FOS: Mathematics #Numerical Analysis (math.NA) #UAV Applications and Optimization
paper · pdf · doi:10.48550/arxiv.2409.02469
openalex publication_date 2024/09/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/02
Recently, movable antennas (MAs) have garnered immense attention due to their capability to favorably alter channel conditions through agile movement. In this letter, we delve into a spectrum sharing system enabled by unmanned aerial vehicle (UAV) mounted MAs, thereby introducing a new degree of freedom vertically alongside the horizontal local mobility for MAs. Our objective is to maximize the minimum beamforming gain for secondary users (SUs) while ensuring that interference to the primary users (PUs) remains below a predefined threshold, which necessitates a joint optimization involving the UAV's height, the antenna weight vector (AWV), and the antenna position vector (APV). However, the formulated optimization problem is non-convex and challenging to solve optimally. To tackle this issue, we propose an alternating optimization algorithm that optimizes the UAV's height, APV and AWV in an iterative manner, thus yielding a near-optimal solution. Numerical results demonstrate the superiority of the proposed scheme as well as its ability to deliver full beamforming gain to SUs with reduced computational complexity.