论文标题
一个新的商店 - 无人机移动继电器的放大和前面协议
A New Store-then-Amplify-and-Forward Protocol for UAV Mobile Relaying
论文作者
论文摘要
在这封信中，我们将使用无人驾驶汽车（UAV）作为移动继电器，以协助两个没有直接链接的地面用户之间的通信。我们提出了一个新颖的商店 - 然后放大和前向（SAF）继电器协议，以通过低复杂性AF继电器共同利用其移动性。具体而言，从源接收的信号首先存储在无人机的缓冲区中，然后在无人机靠近目的地时放大并转发到目的地。借助此新的SAF协议，我们旨在通过共同优化源/UAV传输电源和UAV轨迹以及每个数据包接收和转发的每个数据包的时间间隔配对来最大程度地提高启用无人机的继电器系统的吞吐量。由于此问题是难以解决的非凸混合整数优化问题，因此我们提出了一种有效的算法，用于通过应用匈牙利算法的技术来获得次优溶液，以交替优化和连续的convex近似值。数值结果表明，提出的移动SAF继电器的表现优于传统的AF继电器而无需信号存储。
In this letter, we consider the use of an unmanned aerial vehicle (UAV) as a mobile relay to assist the communication between two ground users without a direct link. We propose a novel store-then-amplify-and-forward (SAF) relaying protocol for the UAV to exploit its mobility jointly with the low-complexity AF relaying. Specifically, the received signal from the source is first stored in a buffer at the UAV, then amplified and forwarded to the destination when the UAV flies closer to the destination. With this new SAF protocol, we aim to maximize the throughput of the UAV-enabled relaying system by jointly optimizing the source/UAV transmit power and the UAV trajectory, as well as the time-slot pairing for each data packet received and forwarded by the UAV. As this problem is a non-convex mixed integer optimization problem that is difficult to solve, we propose an efficient algorithm for obtaining a suboptimal solution for it by applying the techniques of Hungary algorithm, alternating optimization and successive convex approximation. Numerical results show that the proposed mobile SAF relaying outperforms the conventional AF relaying without signal storing.
