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首页> 外文会议>IEEE International Conference on Communications >Base-Stations Up in the Air: Multi-UAV Trajectory Control for Min-Rate Maximization in Uplink C-RAN
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Base-Stations Up in the Air: Multi-UAV Trajectory Control for Min-Rate Maximization in Uplink C-RAN

机译：空中基站：用于上行链路C-RAN中最小速率最大化的多UAV轨迹控制

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摘要

In this paper we study the impact of unmanned aerial vehicles (UAVs) trajectories on terrestrial users' spectral efficiency (SE). Assuming a strong line of sight path to the users, the distance from all users to all UAVs influence the outcome of an online trajectory optimization. The trajectory should be designed in a way that the fairness rate is maximized over time. That means, the UAVs travel in the directions that maximize the minimum of the users' SE. From the free-space path-loss channel model, a data-rate gradient is calculated and used to direct the UAVs in a long-term perspective towards the local optimal solution on the two-dimensional spatial grid. Therefore, a control system implementation is designed. Thereby, the UAVs follow the data-rate gradient direction while having a more smooth trajectory compared with a gradient method. The system can react to changes of the user locations online; this system design captures the interaction between multiple UAV trajectories by joint processing at the central unit, e.g., a ground base station. Because of the wide spread of user locations, the UAVs end up in optimal locations widely apart from each other. Besides, the SE expectancy is enhancing continuously while moving along this trajectory.
机译：在本文中，我们研究了无人机轨迹对地面用户的频谱效率（SE）的影响。假设到用户的视线很强，则所有用户到所有无人机的距离都会影响在线轨迹优化的结果。轨迹的设计应使公平率随时间最大化。这意味着，无人飞行器在使用户的SE最小值最小化的方向上行驶。根据自由空间路径损耗通道模型，计算数据速率梯度，并将其用于从长远角度将无人机引导至二维空间网格上的局部最优解。因此，设计了一种控制系统的实现。因此，UAV遵循数据速率梯度方向，同时与梯度方法相比具有更平滑的轨迹。系统可以在线响应用户位置的更改;该系统设计通过中央单元（例如地面基站）的联合处理来捕获多个UAV轨迹之间的交互。由于用户位置的广泛分布，无人飞行器最终位于彼此相距较远的最佳位置。此外，随着这一轨迹的发展，东南期望值也在不断提高。

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