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    3D Trajectory Optimization for Energy-Efficient UAV Communication: A Control Design Perspective

    88742.pdf (15.30Mb)
    Access Status
    Open access
    Authors
    Li, Bin
    Li, Q.
    Zeng, Y.
    Rong, Yue
    Zhang, R.
    Date
    2022
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Li, B. and Li, Q. and Zeng, Y. and Rong, Y. and Zhang, R. 2022. 3D Trajectory Optimization for Energy-Efficient UAV Communication: A Control Design Perspective. IEEE Transactions on Wireless Communications. 21 (6): pp. 4579-4593.
    Source Title
    IEEE Transactions on Wireless Communications
    DOI
    10.1109/TWC.2021.3131384
    ISSN
    1536-1276
    Faculty
    Faculty of Science and Engineering
    School
    School of Elec Eng, Comp and Math Sci (EECMS)
    Remarks

    © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/88919
    Collection
    • Curtin Research Publications
    Abstract

    This paper studies the three-dimensional (3D) trajectory optimization problem for unmanned aerial vehicle (UAV) aided wireless communication. Existing works mainly rely on the kinematic equations for UAV's mobility modeling, while its dynamic equations are usually missing. As a result, the planned UAV trajectories are piece-wise line segments in general, which may be difficult to implement in practice. By leveraging the concept of state-space model, a control-based UAV trajectory design is proposed in this paper, which takes into account both of the UAV's kinematic equations and the dynamic equations. Consequently, smooth trajectories that are amenable to practical implementation can be obtained. Moreover, the UAV's controller design is achieved along with the trajectory optimization, where practical roll angle and pitch angle constraints are considered. Furthermore, a new energy consumption model is derived for quad-rotor UAVs, which is based on the voltage and current flows of the electric motors and thus captures both the consumed energy for motion and the energy conversion efficiency of the motors. Numerical results are provided to validate the derived energy consumption model and show the effectiveness of our proposed algorithms.

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