Joint Optimization of 3D Trajectory and Scheduling for Solar-Powered UAV Systems

Yujing Fu; Haibo Mei; Kezhi Wang; Kun Yang

doi:10.1109/TVT.2021.3063310

Joint Optimization of 3D Trajectory and Scheduling for Solar-Powered UAV Systems

Yujing Fu, Haibo Mei^*, Kezhi Wang, Kun Yang

^*Corresponding author for this work

Computer Information Sciences Department

Research output: Contribution to journal › Article › peer-review

23 Citations (Scopus)

Abstract

This letter considers a solar-powered unmanned aerial vehicle (UAV) system, where the UAV collects data from Internet of Things Devices (IoTDs) on the ground while also charging them using laser charging technology. Both the linear and nonlinear laser charging models are considered. We aim to maximize the residual energy of the UAV while satisfying the requirements of IoTDs by jointly optimizing the three-dimensional (3D) trajectory of UAV and scheduling for IoTDs. The optimization problem is formulated as a mixed integer non-convex problem which is difficult to solve in general. We apply the successive convex approximation and block coordinate descent algorithm to address this problem successfully. Simulation results verify the effectiveness of our algorithm compared with two benchmark methods.

Original language	English
Article number	9369086
Pages (from-to)	3972-3977
Number of pages	6
Journal	IEEE Transactions on Vehicular Technology
Volume	70
Issue number	4
Early online date	3 Mar 2021
DOIs	https://doi.org/10.1109/TVT.2021.3063310
Publication status	Published - Apr 2021

Keywords

Trajectory design
UAV communications
user association
wireless power transfer

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10.1109/TVT.2021.3063310

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title = "Joint Optimization of 3D Trajectory and Scheduling for Solar-Powered UAV Systems",

abstract = "This letter considers a solar-powered unmanned aerial vehicle (UAV) system, where the UAV collects data from Internet of Things Devices (IoTDs) on the ground while also charging them using laser charging technology. Both the linear and nonlinear laser charging models are considered. We aim to maximize the residual energy of the UAV while satisfying the requirements of IoTDs by jointly optimizing the three-dimensional (3D) trajectory of UAV and scheduling for IoTDs. The optimization problem is formulated as a mixed integer non-convex problem which is difficult to solve in general. We apply the successive convex approximation and block coordinate descent algorithm to address this problem successfully. Simulation results verify the effectiveness of our algorithm compared with two benchmark methods. ",

keywords = "Trajectory design, UAV communications, user association, wireless power transfer",

author = "Yujing Fu and Haibo Mei and Kezhi Wang and Kun Yang",

note = "Funding Information: This work was supported in part by the Natural Science Foundation of China under Grants 61620106011, U1705263, and 61871076, in part by Quzhou Research Institute under Grant 2020D002, and in part by EU H2020 Project COSAFE (GA-824 019). ",

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AU - Wang, Kezhi

AU - Yang, Kun

N1 - Funding Information: This work was supported in part by the Natural Science Foundation of China under Grants 61620106011, U1705263, and 61871076, in part by Quzhou Research Institute under Grant 2020D002, and in part by EU H2020 Project COSAFE (GA-824 019).

PY - 2021/4

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N2 - This letter considers a solar-powered unmanned aerial vehicle (UAV) system, where the UAV collects data from Internet of Things Devices (IoTDs) on the ground while also charging them using laser charging technology. Both the linear and nonlinear laser charging models are considered. We aim to maximize the residual energy of the UAV while satisfying the requirements of IoTDs by jointly optimizing the three-dimensional (3D) trajectory of UAV and scheduling for IoTDs. The optimization problem is formulated as a mixed integer non-convex problem which is difficult to solve in general. We apply the successive convex approximation and block coordinate descent algorithm to address this problem successfully. Simulation results verify the effectiveness of our algorithm compared with two benchmark methods.

AB - This letter considers a solar-powered unmanned aerial vehicle (UAV) system, where the UAV collects data from Internet of Things Devices (IoTDs) on the ground while also charging them using laser charging technology. Both the linear and nonlinear laser charging models are considered. We aim to maximize the residual energy of the UAV while satisfying the requirements of IoTDs by jointly optimizing the three-dimensional (3D) trajectory of UAV and scheduling for IoTDs. The optimization problem is formulated as a mixed integer non-convex problem which is difficult to solve in general. We apply the successive convex approximation and block coordinate descent algorithm to address this problem successfully. Simulation results verify the effectiveness of our algorithm compared with two benchmark methods.

KW - Trajectory design

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KW - user association

KW - wireless power transfer

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Joint Optimization of 3D Trajectory and Scheduling for Solar-Powered UAV Systems

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Keywords

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