论文标题
3D无人机轨迹和交流设计，用于同时上行链路和下行链路传输
3D UAV Trajectory and Communication Design for Simultaneous Uplink and Downlink Transmission
论文作者
论文摘要
在本文中，我们调查了无人机（UAV）辅助的同时上行链路和下行链路传输网络，其中一个无人机充当发射器的无人机连接到多个访问点，而另一个无人机则作为基站（BS）从许多传感器节点中收集数据。本文的目的是通过共同优化3D UAV轨迹，通信调度和UAV-AP/SN传输功率来最大化UAV-BS和UAV-AP系统吞吐量的总和。我们首先考虑一种特殊情况，即预先确定了UAV-BS和UAV-AP轨迹。尽管结果问题是整数和非凸优化问题，但通过基于该问题的隐藏单调结构应用多块外近似（POA）方法来获得全球最佳解决方案。随后，对于考虑到3D无人机轨迹优化的一般情况，提出了一种有效的迭代算法，以基于连续的凸近似（SCA）技术交替优化分开的子问题。数值结果表明，所提出的设计能够在基准上实现重要的系统吞吐量增益。此外，基于SCA的方法可以达到与基于POA的方法的相同性能，其计算复杂性要低得多。
In this paper, we investigate the unmanned aerial vehicle (UAV)-aided simultaneous uplink and downlink transmission networks, where one UAV acting as a disseminator is connected to multiple access points, and the other UAV acting as a base station (BS) collects data from numerous sensor nodes. The goal of this paper is to maximize the sum of the UAV-BS and UAV-AP system throughput by jointly optimizing the 3D UAV trajectory, communication scheduling, and UAV-AP/SN transmit power. We first consider a special case where the UAV-BS and UAV-AP trajectories are pre-determined. Although the resulting problem is an integer and non-convex optimization problem, a globally optimal solution is obtained by applying the polyblock outer approximation (POA) method based on the problem's hidden monotonic structure. Subsequently, for the general case considering the 3D UAV trajectory optimization, an efficient iterative algorithm is proposed to alternately optimize the divided sub-problem based on the successive convex approximation (SCA) technique. Numerical results demonstrate that the proposed design is able to achieve significant system throughput gain over the benchmarks. In addition, the SCA-based method can achieve nearly the same performance as the POA based method with much lower computational complexity.
