TY - JOUR
T1 - 6D Movable Antenna Enhanced Interference Mitigation for Cellular-Connected UAV Communications
AU - Ren, Tianshi
AU - Zhang, Xianchao
AU - Zhu, Lipeng
AU - Ma, Wenyan
AU - Gao, Xiaozheng
AU - Zhang, Rui
N1 - Publisher Copyright:
© 2025 IEEE. All rights reserved.
PY - 2025
Y1 - 2025
N2 - 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 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 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 algorithm to iteratively optimize the antenna position vector, array rotation vector, receive beamforming vector, and associated BS of the UAV to maximize its signal-to-interference-plus-noise ratio. Numerical results show that the proposed 6DMA enhanced cellular-connected UAV communication can significantly outperform that with the traditional FPA arrays and other benchmark schemes in terms of interference mitigation.
AB - 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 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 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 algorithm to iteratively optimize the antenna position vector, array rotation vector, receive beamforming vector, and associated BS of the UAV to maximize its signal-to-interference-plus-noise ratio. Numerical results show that the proposed 6DMA enhanced cellular-connected UAV communication can significantly outperform that with the traditional FPA arrays and other benchmark schemes in terms of interference mitigation.
KW - antenna position/rotation optimization
KW - interference mitigation
KW - Movable antenna (MA)
KW - unmanned aerial vehicle (UAV)
UR - http://www.scopus.com/inward/record.url?scp=105000039884&partnerID=8YFLogxK
U2 - 10.1109/LWC.2025.3549502
DO - 10.1109/LWC.2025.3549502
M3 - Article
AN - SCOPUS:105000039884
SN - 2162-2337
JO - IEEE Wireless Communications Letters
JF - IEEE Wireless Communications Letters
ER -