6D Movable Antenna Enhanced Interference Mitigation for Cellular-Connected UAV Communications
Tianshi Ren, Xianchao Zhang, Lipeng Zhu, Wenyan Ma, Xiaozheng Gao, and, Rui Zhang

TL;DR
This paper introduces a 6D movable antenna array system to improve interference mitigation in cellular-connected UAV communications, significantly outperforming traditional fixed antennas.
Contribution
It proposes a novel 6D movable antenna array approach with an optimization algorithm to enhance interference mitigation for UAVs in cellular networks.
Findings
6DMA arrays outperform fixed antennas in interference suppression
The proposed algorithm effectively optimizes antenna positioning and beamforming
Significant SINR improvements demonstrated through numerical results
Abstract
Cellular-connected unmanned aerial vehicle (UAV) communications is an enabling technology to transmit control signaling or payload data for UAVs through cellular networks. Due to the line-of-sight (LoS) dominant air-to-ground channels, efficient interference mitigation is crucial to UAV communications, while the conventional fixed-position antenna (FPA) arrays have limited degrees of freedom (DoFs) to suppress the interference between the UAV and its non-associated co-channel base stations (BSs). To address this challenge, we propose in this letter a new approach by utilizing the six-dimensional movable antenna (6DMA) arrays to enhance the interference mitigation for the UAV. Specifically, we propose an efficient block coordinate descent (BCD) algorithm to iteratively optimize the antenna position vector (APV), array rotation vector (ARV), receive beamforming vector, and associated BS…
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Taxonomy
TopicsUAV Applications and Optimization · Satellite Communication Systems · Advanced Wireless Communication Technologies
MethodsBalanced Selection
