In this letter, we study a wireless communication system with a fixed-wing unmanned aerial vehicle (UAV) employed to collect information from a group of ground nodes (GNs). Our objective is to maximize the UAV’s energy efficiency (EE), which is defined as the achievable throughput among all GNs per unit propulsion energy consumption of the UAV. To efficiently solve this problem with continuous-time functions, we propose a new method based on receding horizon optimization (RHO), which significantly reduces the computational complexity compared to the conventional time discretization method. Specifically, we sequentially solve the EE maximization problem over a moving time-window of finite duration, for each of which the number of optimization variables is greatly reduced. Simulation results are provided to show the effectiveness of the proposed method.

中文翻译：

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节能无人机通信的后退地平线优化

在这封信中，我们研究了一个带有固定翼无人机 (UAV) 的无线通信系统，用于从一组地面节点 (GN) 收集信息。我们的目标是最大化无人机的能源效率 (EE)，其定义为无人机每单位推进能耗的所有 GN 之间可实现的吞吐量。为了用连续时间函数有效地解决这个问题，我们提出了一种基于后退水平优化（RHO）的新方法，与传统的时间离散化方法相比，该方法显着降低了计算复杂度。具体来说，我们在有限持续时间的移动时间窗口上依次解决 EE 最大化问题，对于每个优化变量的数量都大大减少。