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 unmanned aerial vehicle (UAV) communication network, proposing a complex communication network model under the 3D multi-user multiple-input single-output scenario. This model takes into account the small-scale variations of UAV attitudes and their impact on channel quality. Additionally, the space division multiple access technology is employed to effectively mitigate inter-user interference model predictive control. In this context, an online UAV attitude control and resource allocation strategy based on model predictive control(MPC) algorithm is designed. By iteratively solving the open-loop control problem with a rolling window of limited time duration, the average spectral efficiency of the UAV communication system is maximized. 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.
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