In this letter, we study the deployment of Unmanned Aerial Vehicle mounted Base Stations (UAV-BSs) in multi-UAV cellular networks. We model the multi-UAV deployment problem as a user satisfaction maximization problem, that is, maximizing the proportion of served ground users (GUs) that meet a given minimum data rate requirement. We propose an interference-aware deployment (IAD) algorithm for serving arbitrarily distributed outdoor GUs. The proposed algorithm can alleviate the problem of overlapping coverage between adjacent UAV-BSs to minimize inter-cell interference. Therefore, reducing co-channel interference between UAV-BSs will improve user satisfaction and ensure that most GUs can achieve the minimum data rate requirement. Simulation results show that our proposed IAD outperforms comparative methods by more than 10% in user satisfaction in high-density environments.

翻译：本文研究了多无人机蜂窝网络中搭载基站的无人机（UAV-BSs）的部署问题。我们将多无人机部署问题建模为用户满意度最大化问题，即最大化满足给定最低数据速率要求的地面用户（GUs）比例。针对任意分布的室外地面用户，我们提出了一种干扰感知部署（IAD）算法。该算法可缓解相邻UAV-BSs之间覆盖重叠问题，从而最小化小区间干扰。通过降低UAV-BSs之间的同频干扰，用户满意度得以提升，并确保大多数地面用户能达到最低数据速率要求。仿真结果表明，在高密度环境下，所提出的IAD算法相比对比方法在用户满意度上提升了超过10%。