Aiding the ground cellular network with aerial base stations carried by drones has experienced an intensive raise of interest in the past years. Reconfigurable air-to-ground channels enable aerial stations to enhance users access links by means of seeking good line-of-sight connectivity while hovering in the air. In this paper, we propose an analytical framework for the 3D placement of a fleet of coordinated drone relays. This framework optimizes network performance in terms of user throughput fairness, expressed through the {\alpha}-fairness metric. The optimization problem is formulated as a mixed-integer non-convex program, which is intractable. Hence, we propose an extremal-optimization-based algorithm, Parallelized Alpha-fair Drone Deployment, that solves the problem online, in low-degree polynomial time. We evaluate our proposal by means of numerical simulations over the real topology of a dense city. We discuss the advantages of integrating drone relay stations in current networks and test several resource scheduling approaches in both static and dynamic scenarios, including with progressively larger and denser crowds.
翻译:过去几年来,通过无人驾驶飞机携带的空对地通道的重新配置使空对地通道使航空站能够通过在空中徘徊时寻求良好的视觉连通性来增强用户访问连接。在本文中,我们提议了一个三维部署协调无人驾驶中继机队的分析框架。这个框架在用户吞吐公平性方面优化了网络的性能,表现在phalpha}公平性衡量标准上。优化问题是一个难以解决的混合英特非convex程序。因此,我们提出一个基于极端最佳化的算法,即平行的阿尔法-公平德龙部署,在低度多元时间在线解决问题。我们通过数字模拟对一个稠密城市的真正地形学评估我们的建议。我们讨论了将无人驾驶中继站纳入当前网络和测试一些静态和动态情景的资源调度方法的优势,包括逐渐扩大的人群和较稠密人群。