Orientation-Aware Control and Trajectory Design for Aerial RIS-Assisted Wireless Communications

2026-09-19

AI Summary

本文针对ARIS辅助无线通信中因UAV姿态影响通信质量的问题，提出了一种考虑姿态的控制与轨迹设计方法，结合非线性模型预测控制和轻量级波束成形及相移更新，显著提升了用户和网络吞吐量。

Abstract

Aerial Reconfigurable Intelligent Surfaces (ARISs) can enhance wireless connectivity in obstructed environments by combining reconfigurable metasurfaces with aerial mobility. However, in practical deployments, the Reconfigurable Intelligent Surface (RIS) is rigidly mounted on a multi-rotor Unmanned Aerial Vehicle (UAV), which creates coupled position-orientation dynamics that directly affect communication quality. Since RIS performance is highly sensitive to orientation, point-mass or orientation-invariant models may lead to optimistic performance estimates. This paper proposes an orientation-aware ARIS framework that explicitly accounts for UAV dynamics, actuation limits, and orientation-dependent channels. The proposed approach combines a communications-guided reference trajectory planner with a Nonlinear Model Predictive Control for dynamically feasible trajectory tracking and favorable RIS orientation, while employing lightweight beamforming and RIS phase-shift updates. Simulations show that accounting for orientation improves user throughput by 13.77%, while the proposed joint communication updates improve network throughput by 28% over phase-shift-only optimization and by at least a factor of 2.5 over beamforming-only optimization. These results highlight the importance of orientation-aware modeling and joint communication-control design in ARIS-assisted wireless systems.

Problem

• Aerial Reconfigurable Intelligent Surfaces
• UAV dynamics
• orientation-dependent channels

Innovation

• orientation-aware
• Nonlinear Model Predictive Control
• RIS phase-shift updates