基于多机协作的认知无人机网络能效联合优化

doi:10.7527/S1000-6893.2020.24548

Abstract

Abstract: Aiming at the shortage of spectrum resources in Unmanned Air Vehicle (UAV) communication networks, we construct a multi-UAV communication network model based on cognitive radio, and explore the authorized spectrum effectively through cooperative spectrum sensing. An iterative algorithm based on the bisection algorithm is proposed, and the Energy Efficiency (EE) of UAV secondary cognitive networks is significantly improved by jointly optimizing the sensing time and decision threshold to solve the complex nonconvex problem. Finally, the change of EE in the flight course of UAVs is analyzed. The simulation results show that there is an optimal sensing time to maximize the EE, and that the selection of the decision threshold will affect the optimal value of the EE; with good convergence, the proposed EE iterative algorithm effectively improves the energy utilization of cognitive UAV networks.

Key words: cooperative spectrum sensing, Unmanned Air Vehicles (UAV), cognitive radio, Energy Efficiency (EE), convex optimization

CLC Number:

V243.1

ZHANG Hongwei, DA Xinyu, HU Hang, NI Lei, PAN Yu. Energy-efficient cooperative optimization for multi-UAV-aided cognitive radio networks[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(6): 324548-324548.

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Energy-efficient cooperative optimization for multi-UAV-aided cognitive radio networks

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