In this work, we address the issue of quality of experience (QoE) in unmanned aerial vehicle (UAV) aided multiuser rate-splitting multiple access (RSMA) networks under secrecy constraints. The problem is formulated as maximization of sum mean opinion scores (MOSs) of the users. The problem is decomposed into two subproblems, beamforming and rate allocation and UAV trajectory subproblem. For, beamforming and rate allocation subproblem, we use the epigraph method, property of polynomials, and the norm-bounded error of channels, we linearize the objective function. Then, applying second-order conic (SOC) and first Taylor expansion, we convexify the remaining nonconvex constraints. For the highly nonconvex UAV trajectory, we unroll the constraints and we apply first Taylor expansion on the unrolled constraints. The simulation results demonstrate the efficiency of the proposed framework.

翻译：本文研究了在保密约束下，无人机辅助多用户速率分割多址网络中的体验质量保障问题。该问题被建模为用户平均意见得分的总和最大化问题。我们将原问题分解为两个子问题：波束成形与速率分配子问题，以及无人机轨迹规划子问题。针对波束成形与速率分配子问题，我们利用上镜图法、多项式性质以及信道的范数有界误差，对目标函数进行了线性化处理。随后，通过引入二阶锥约束和一阶泰勒展开，将剩余的非凸约束凸化。对于高度非凸的无人机轨迹规划问题，我们展开了相关约束，并对展开后的约束应用了一阶泰勒展开。仿真结果验证了所提框架的有效性。