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Updated: Aug 27, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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Trajectory Design for Multi-UAV-Aided Wireless Power Transfer toward Future Wireless Systems.

Jun Mu1, Zhaojie Sun2

  • 1Space Star Technology Co., Ltd., Beijing 100086, China.

Sensors (Basel, Switzerland)
|September 23, 2022
PubMed
Summary

This study optimizes wireless power transfer (WPT) using multiple unmanned aerial vehicles (UAVs). The research finds that UAVs should maintain specific hovering positions and distribute evenly to maximize energy transfer to a ground receiver.

Keywords:
UAV trajectory designenergy optimizationwireless power transfer (WPT)

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Area of Science:

  • Wireless Communication
  • Robotics
  • Energy Systems

Background:

  • Unmanned Aerial Vehicles (UAVs) offer mobility for wireless power transfer (WPT).
  • Optimizing UAV trajectories is crucial for efficient energy delivery to ground receivers.

Purpose of the Study:

  • To maximize energy transfer to a ground energy receiver (ER) using UAV-mounted energy transmitters (ETs).
  • To determine optimal UAV trajectories under speed and collision avoidance constraints within a finite flight period.

Main Methods:

  • Analysis of one and two-UAV scenarios to establish baseline behaviors.
  • Application of the Lagrange multiplier method for optimization in the two-UAV case.
  • Derivation of trajectory design principles for multi-UAV systems (3-7 UAVs).

Main Results:

  • For one/two-UAV systems, optimal strategy involves hovering at fixed locations.
  • For multiple UAVs, an optimal trajectory involves even distribution on a circumference around a central point.
  • Numerical simulations validate the proposed trajectory design for multi-UAV WPT.

Conclusions:

  • Hovering is optimal for minimal UAV configurations.
  • Even distribution on a circular path maximizes energy transfer in multi-UAV systems.
  • The developed trajectory algorithm effectively enhances WPT efficiency in complex UAV networks.