共 15 条
UAV-Enabled Wireless Networks With Movable-Antenna Array: Flexible Beamforming and Trajectory Design
被引:5
作者:
Liu, Wenchao
[1
]
Zhang, Xuhui
[2
,3
]
Xing, Huijun
[2
,3
]
Ren, Jinke
[2
,3
]
Shen, Yanyan
[1
]
Cui, Shuguang
[4
,5
]
机构:
[1] Chinese Acad Sci, Shenzhen Inst Adv Technol, Guangzhou 518055, Guangdong, Peoples R China
[2] Chinese Univ Hong Kong Shenzhen, Shenzhen Future Network Intelligence Inst, Sch Sci & Engn, Shenzhen 518066, Guangdong, Peoples R China
[3] Chinese Univ Hong Kong Shenzhen, Guangdong Prov Key Lab Future Networks Intelligenc, Shenzhen 518066, Guangdong, Peoples R China
[4] Chinese Univ Hong Kong Shenzhen, Shenzhen Future Network Intelligence Inst, Sch Sci & Engn, Shenzhen 518066, Guangdong, Peoples R China
[5] Chinese Univ Hong Kong Shenzhen, Guangdong Prov Key Lab Future Networks Intelligenc, Shenzhen 518066, Guangdong, Peoples R China
基金:
中国国家自然科学基金;
关键词:
Autonomous aerial vehicles;
Antenna arrays;
Array signal processing;
Trajectory;
Optimization;
Transmitting antennas;
Internet of Things;
Movable-antenna array;
unmanned aerial vehicles;
transmit beamforming;
trajectory design;
D O I:
10.1109/LWC.2024.3451246
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Recently, movable-antenna (MA) array becomes a promising technology for improving the communication quality in wireless communication systems. In this letter, an unmanned aerial vehicle (UAV) enabled multi-user multi-input-single-output system enhanced by the MA array is investigated. To enhance the throughput capacity, we aim to maximize the achievable data rate by jointly optimizing the transmit beamforming, the UAV trajectory, and the positions of the MA array antennas. The formulated data rate maximization problem is a highly coupled non-convex problem, for which an alternating optimization based algorithm is proposed to get a sub-optimal solution. Numerical results have demonstrated the performance gain of the proposed method compared with conventional method with fixed-position antenna array.
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页码:566 / 570
页数:5
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