Given the imperative of 6G networks' ubiquitous connectivity, along with the inherent mobility and cost-effectiveness of unmanned aerial vehicles (UAVs), UAVs play a critical role within 6G wireless networks. Despite advancements in enhancing the UAV-enabled communication systems' throughput in existing studies, there remains a notable gap in addressing issues concerning user fairness and quality-of-service (QoS) provisioning and lacks an effective scheme to depict the trade-off between system throughput and user fairness. To solve the above challenges, in this paper we introduce a novel fairness control scheme for UAV-enabled wireless communication systems based on a new weighted function. First, we propose a throughput combining model based on a new weighted function with fairness considering. Second, we formulate the optimization problem to maximize the weighted sum of all users' throughput. Third, we decompose the optimization problem and propose an efficient iterative algorithm to solve it. Finally, simulation results are provided to demonstrate the considerable potential of our proposed scheme in fairness and QoS provisioning.

翻译：鉴于6G网络泛在连接的必要性，以及无人机（UAV）固有的机动性和成本效益优势，无人机在6G无线网络中扮演着关键角色。尽管现有研究在提升无人机赋能通信系统的吞吐量方面取得了进展，但在解决用户公平性与服务质量（QoS）保障问题方面仍存在显著空白，且缺乏有效方案来刻画系统吞吐量与用户公平性之间的权衡关系。为解决上述挑战，本文提出了一种基于新型加权函数的无人机赋能无线通信系统公平性控制方案。首先，我们构建了一种考虑公平性的新型加权函数吞吐量融合模型。其次，我们以最大化所有用户吞吐量的加权和为优化目标，建立优化问题。再次，我们对该优化问题进行了分解，并提出了一种高效的迭代算法进行求解。最后，通过仿真结果验证了所提方案在公平性与QoS保障方面的显著潜力。