UAV-assisted communication online control strategy based on MPC

doi:10.7523/j.ucas.2023.082

Abstract

Abstract: This paper addresses the research challenges in unmanned aerial vehicle communication networks, including significant interference among multiple users, high complexity of dynamic models, and the difficulty in designing real-time optimal control strategies. For the first time, the multi-antenna technology is introduced into the quadcopter UAV communication network, proposing a complex communication network model under the 3D MU-MISO scenario. This model takes into account the small-scale variations of UAV attitudes and their impact on channel quality. Additionally, the SDMA technology is employed to effectively mitigate interference among users. In this context, an online UAV attitude control and resource allocation strategy based on MPC algorithm is designed. By iteratively solving the open-loop control problem with a rolling window of limited time duration, achieving the maximization of the average spectral efficiency of the UAV communication system. Simulation results demonstrate that the proposed coupled communication model significantly improves system gains, and the control strategy efficiently optimizes UAV flight trajectories and allocates communication resources in dynamic environments.

Key words: UAV communication, trajectory optimization, attitude control, resource allocation, online control strategy

CLC Number:

TN92

WANG Yifei, HUANG Wei, XIANG Junyan, He Xiaohe, LIANG Xuwen. UAV-assisted communication online control strategy based on MPC[J]. Journal of University of Chinese Academy of Sciences, DOI: 10.7523/j.ucas.2023.082.

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