Upward Spatial Coverage Recovery via Movable Antenna in Low-Altitude Communications
Kan Yu, Kaixuan Li, Yujia Zhao, Dingyou Ma, Qixun Zhang, Zhiyong Feng

TL;DR
This paper explores the use of movable antennas to enhance 3D spatial coverage in low-altitude UAV communication environments, outperforming fixed antennas through joint optimization of position and beamforming.
Contribution
It introduces a novel framework for maximizing airspace coverage using movable antennas with joint 3D positioning and beamforming optimization, solved via hybrid algorithms.
Findings
Achieves 26.8% and 29.65% coverage improvements at 300m and 600m altitudes.
Demonstrates significant coverage gains over fixed-position antennas.
Shows additional benefits with mechanical tilt adjustments.
Abstract
The rapid proliferation of unmanned aerial vehicle (UAV) applications imposes stringent requirements on continuous and reliable communication coverage in low-altitude airspace. Conventional cellular systems built upon fixed-position antennas (FPAs) are inherently constrained by static array geometries and limited mechanical degrees of freedom, which severely restrict their ability to adapt to highly dynamic three-dimensional (3D) propagation environments. Movable antenna (MA) technology has recently emerged as a promising paradigm to overcome these limitations by actively reconfiguring electromagnetic radiation characteristics through controllable antenna positioning and array orientation, thereby enabling flexible spatial coverage adaptation. To systematically quantify the airspace coverage capability of MA-enabled systems, this paper formulates a spatial coverage maximization problem…
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Taxonomy
TopicsUAV Applications and Optimization · Advanced Wireless Communication Technologies · Satellite Communication Systems
