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Robust beamforming and trajectory design for UAV-assisted RSMA systems with jittering
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DOI：10.1016/j.phycom.2026.103032.png)
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Abstract
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To address the challenges in smart campus environments, such as uneven user distribution, temporary communication hotspots, and diverse service requirements, we investigate an unmanned aerial vehicle (UAV)-enabled rate-splitting multiple access (RSMA) system to improve spectral efficiency and reliability. In this framework, a reconfigurable intelligent surface (RIS) is employed to enhance the communication between the UAV and ground users. However, precise estimation of the UAV-related channels remains difficult due to airflow disturbances and body vibrations during the UAV's flight. To overcome this challenge, the UAV-related channel was modeled based on the impact of UAV jitter on the antenna array response, and a joint optimization problem is formulated for transmit beamforming, RIS phase shifts, and UAV trajectory to maximize the worst-case sum rate among all users. Due to the non-convex structure of the formulated problem, a direct solution is infeasible. Therefore, the alternating optimization (AO) method is adopted to sequentially optimize the beamforming vectors, RIS phase shift vectors, and UAV trajectory, thereby simplifying the coupled non-convex problem into three tractable subproblems. Subsequently, the successive convex approximation (SCA) method and the S-Procedure are applied to address these subproblems efficiently. Simulation results verify that the proposed algorithm achieves superior robustness and higher worst-case sum rate in UAV-assisted RSMA systems with jitter.
Keywords:
Unmanned aerial vehicle jitter
Rate splitting multiple access (RSMA)
Robust beamforming
Trajectory design
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