共 56 条
Joint Design of Communication Sensing and Control With a UAV Platform
被引:0
作者:
Li, Qingliang
[1
]
Li, Bin
[1
]
He, Zhen-Qing
Rong, Yue
[2
]
Han, Zhu
[3
,4
]
机构:
[1] Sichuan Univ, Sch Aeronaut & Astronaut, Chengdu 610065, Peoples R China
[2] Curtin Univ, Sch Elect Engn Comp & Math Sci, Perth, WA 6845, Australia
[3] Univ Houston, Dept Elect & Comp Engn, Houston, TX 77004 USA
[4] Kyung Hee Univ, Dept Comp Sci & Engn, Seoul 446701, South Korea
基金:
中国国家自然科学基金;
日本科学技术振兴机构;
关键词:
Autonomous aerial vehicles;
Trajectory;
Sensors;
Integrated sensing and communication;
Wireless communication;
Vehicle dynamics;
Dynamics;
Torque;
Receiving antennas;
Quadrotors;
Joint design sensing communication and control;
6G;
quadrotor UAV;
trajectory optimization;
exact penalty function;
RADAR;
OPTIMIZATION;
PERFORMANCE;
ALGORITHM;
ACCESS;
D O I:
10.1109/TWC.2024.3480705
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
In this article, a joint design of communication sensing and control (JDCSC) scheme is developed which focuses on a scenario where a cellular-connected unmanned aerial vehicles (UAV) senses a moving target. The goal is to maximize the sensing mutual information via jointly optimizing the transmit power, the trajectory of the UAV and the task completion time, while meeting the onboard energy, the communication service quality, and the UAV flight safety constraints. In particular, UAV dynamics are considered, which are usually ignored in the existing design and inferior communication and sensing quality of service might be resulted. The formulated problem is dynamic optimization problem, which is difficult to be solved. The control parameterization method and exact penalty function scheme are utilized to transform the problem into a static nonlinear program which can be solved by gradient-based methods. The effectiveness of the JDCSC approach is verified by carrying out some numerical examples.
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页码:19231 / 19244
页数:14
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