Joint Design of Communication Sensing and Control With a UAV Platform

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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Publication Details

Journal
IEEE Transactions on Wireless Communications
Published
2024-10-22
DOI
https://doi.org/10.1109/twc.2024.3480705
Citations
7
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
9.09

Funders

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article

Joint Design of Communication Sensing and Control With a UAV Platform

Zhu Han, Yue Rong, Bin Li, Qingliang Li et al.
7 citations
IEEE Transactions on Wireless Communications
UAV Applications and Optimization
9.09
article

Joint Design of Communication Sensing and Control With a UAV Platform

Zhu Han, Yue Rong, Bin Li, Qingliang Li, Zhenqing He
article en
7 citations

Abstract

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.

IEEE Transactions on Wireless CommunicationsVol. 23(12)
Curtin University (AU), Sichuan University (CN), University of Houston (US)
National Natural Science Foundation of China, National Defense Basic Scientific Research Program of China
Affordable and clean energy
Openalex Percentile: Top 3%
UAV Applications and Optimization
9.09
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Joint Design of Communication Sensing and Control With a UAV Platform — Zhu Han, Yue Rong, et al. · IEEE Transactions on Wireless Communications (2024) | TGRS Research Map | TGRS