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Main Authors: Tang, Xiao-Wei, Shi, Yunmei, Huang, Yi, Wu, Qingqing
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2409.02469
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author Tang, Xiao-Wei
Shi, Yunmei
Huang, Yi
Wu, Qingqing
author_facet Tang, Xiao-Wei
Shi, Yunmei
Huang, Yi
Wu, Qingqing
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2409_02469
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle UAV-Mounted Movable Antenna: Joint Optimization of UAV Placement and Antenna Configuration
Tang, Xiao-Wei
Shi, Yunmei
Huang, Yi
Wu, Qingqing
Numerical Analysis
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.
title UAV-Mounted Movable Antenna: Joint Optimization of UAV Placement and Antenna Configuration
topic Numerical Analysis
url https://arxiv.org/abs/2409.02469