UAV-Mounted Movable Antenna: Joint Optimization of UAV Placement and Antenna Configuration
Xiao-Wei Tang, Yunmei Shi, Yi Huang, Qingqing Wu

TL;DR
This paper proposes a joint optimization framework for UAV-mounted movable antennas, enhancing spectrum sharing by optimizing UAV height, antenna configuration, and position to maximize secondary user gains while limiting interference.
Contribution
It introduces a novel joint optimization approach for UAV-mounted movable antennas, including a practical alternating optimization algorithm for near-optimal solutions.
Findings
Proposed scheme outperforms existing methods in beamforming gain.
Achieved full beamforming gain for secondary users.
Reduced computational complexity compared to traditional optimization methods.
Abstract
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…
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Taxonomy
TopicsUAV Applications and Optimization · Antenna Design and Analysis · Aerospace Engineering and Energy Systems
