论文标题
在无人机的蜂窝互联网中，用于最小化AOI的传感和通信权衡设计
Sensing and Communication Tradeoff Design for AoI Minimization in a Cellular Internet of UAVs
论文作者
论文摘要
在本文中，我们考虑了无人机的蜂窝互联网（UAV），无人机感知到多个任务的数据并将数据传输到基站（BS）。为了量化BS数据的“新鲜度”，我们提出了信息时代的概念（AOI）。 AOI取决于无人机传感的时间和无人机传输的时间，并在给定时期内实现了权衡。为了最大程度地减少AOI，我们制定了关节感应时间，传输时间，无人机轨迹和任务调度优化问题。为了解决此问题，我们首先提出了一种迭代算法，以优化完成特定任务的传感时间，传输时间和无人机轨迹。之后，我们设计了无人机执行多个感应任务的数据更新的顺序。分析了所提出算法的收敛性和复杂性，以及无人机传感和无人机传输之间的权衡。仿真结果验证了我们提出的算法的有效性。
In this paper, we consider the cellular Internet of unmanned aerial vehicles (UAVs), where UAVs sense data for multiple tasks and transmit the data to the base station (BS). To quantify the "freshness" of the data at the BS, we bring in the concept of the age of information (AoI). The AoI is determined by the time for UAV sensing and that for UAV transmission, and gives rise to a trade-off within a given period. To minimize the AoI, we formulate a joint sensing time, transmission time, UAV trajectory, and task scheduling optimization problem. To solve this problem, we first propose an iterative algorithm to optimize the sensing time, transmission time, and UAV trajectory for completing a specific task. Afterwards, we design the order in which the UAV performs data updates for multiple sensing tasks. The convergence and complexity of the proposed algorithm, together with the trade-off between UAV sensing and UAV transmission, are analyzed. Simulation results verify the effectiveness of our proposed algorithm.
