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：在本文中，我们研究了多飞行器蜂窝网络中的无人机基站（UAV-BS）部署。我们将多UAV部署问题建模为最大化用户满意度问题，即最大化满足给定最低数据速率要求的服务地面用户（GUs）的比例。我们提出了一种干扰感知部署（IAD）算法，用于为任意分布的户外GUs提供服务。所提出的算法可以减轻相邻UAV-BS之间重叠覆盖的问题，以最小化小区间干扰。因此，减少UAV-BS之间的同信道干扰将提高用户满意度，并确保大多数GUs可以达到最低数据速率要求。仿真结果表明，我们提出的IAD在高密度环境中优于比较方法超过10％的用户满意度。