论文标题
实时视频获取的无人机放置：分辨率与延迟之间的权衡
UAV Placement for Real-time Video Acquisition: A Tradeoff between Resolution and Delay
论文作者
论文摘要
最近，无人机拥有高机动性，低成本和遥控器，促进了无人机辅助的实时视频/图像采集应用程序的开发，这些应用程序对传输速率和图像分辨率都有很高的需求。但是，在常规的垂直摄影模型中，无人机应飞到地面目标（GTS）的顶部以捕获图像，从而扩大传输延迟。在本文中，我们提出了一个倾斜的摄影模型，该模型允许无人机从远距离捕获GT的图像，同时仍然满足预定的分辨率要求。基于提出的倾斜摄影模型，我们进一步研究了与细胞连接的无人机辅助图像采集系统中的无人机放置问题，该系统旨在最大程度地减少满足预定图像分辨率要求的数据传输延迟。首先，首先将提出的方案提出为棘手的非凸优化问题。然后，简化了原始问题，以借助块坐标下降和连续的凸近似技术获得可拖动的次优溶液。最后，提出了数值结果，以显示提出的方案的有效性。数值结果表明，与常规垂直摄影模型相比，所提出的方案可以在很大程度上节省传输时间。
Recently, UAVs endowed with high mobility, low cost, and remote control have promoted the development of UAV-assisted real-time video/image acquisition applications, which have a high demand for both transmission rate and image resolution. However, in conventional vertical photography model, the UAV should fly to the top of ground targets (GTs) to capture images, thus enlarge the transmission delay. In this paper, we propose an oblique photography model, which allows the UAV to capture images of GTs from a far distance while still satisfying the predetermined resolution requirement. Based on the proposed oblique photography model, we further study the UAV placement problem in the cellular-connected UAV-assisted image acquisition system, which aims at minimizing the data transmission delay under the condition of satisfying the predetermined image resolution requirement. Firstly, the proposed scheme is first formulated as an intractable non-convex optimization problem. Then, the original problem is simplified to obtain a tractable suboptimal solution with the help of the block coordinate descent and the successive convex approximation techniques. Finally, the numerical results are presented to show the effectiveness of the proposed scheme. The numerical results have shown that the proposed scheme can largely save the transmission time as compared to the conventional vertical photography model.
