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Abstract:
Aiming at the problem of insufficient ground terminal (GT) energy in unmanned aerial vehicle ((AV) aided wireless powered communication networks (WPCN) using radio frequency energy harvesting, the minimum throughput maximization resource allocation strategy based on magnetic coupling resonant wireless power transfer is studied in this paper. In the original UAV-aided WPCN, a power transfer UAV equipped with magnetic coupling resonance device is introduced. At the same time, each GT installs a receiving coil. Through the magnetic coupling resonance, the power transfer UAV provides sufficient energy for the GT in turn. In order to maximize the minimum throughput of all GTs, the UAV trajectory for receiving information, GT transfer power and timeslot allocation proportion are jointly optimized. Since the optimization problem is nonconvex, the appropriate convex bound of nonconvex constraint is derived by concave-convex process, and the suboptimal solution of the original problem is obtained by iterative optimization algorithm. The simulation results show that the proposed method has a certain degree of improvement in the minimum throughput compared with the method of fixed UAV trajectory and fixed timeslot allocation ratio.
Reprint 's Address:
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Source :
2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING)
ISSN: 1550-2252
Year: 2022
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