论文标题
与移动边缘计算的状态更新的联合传输和计算计划
Joint Transmission and Computing Scheduling for Status Update with Mobile Edge Computing
论文作者
论文摘要
信息年龄（AOI）定义为自最新收到更新以来经过的时间，是一个有希望的性能指标，可测量数据新鲜度以实时状态监控。在许多应用程序中，需要通过计算来提取状态信息，该计算可以通过移动边缘计算（MEC）启用的边缘服务器处理。在本文中，我们旨在通过共同安排具有确定性传输和计算时间的一系列更新数据包的传输和计算来最大程度地减少给定截止日期内的平均AOI。主要的分析结果总结如下。首先，保证所有数据包成功传输和计算的最小截止日期。其次，直观地介绍了最小AOI，并得出了策略的可行性条件。最后，在截止日期超过一定阈值的情况下，获得了封闭形式的最佳调度策略。最佳传输和计算策略的行为由数值结果具有不同的截止日期值，从而验证了分析结果。
Age of Information (AoI), defined as the time elapsed since the generation of the latest received update, is a promising performance metric to measure data freshness for real-time status monitoring. In many applications, status information needs to be extracted through computing, which can be processed at an edge server enabled by mobile edge computing (MEC). In this paper, we aim to minimize the average AoI within a given deadline by jointly scheduling the transmissions and computations of a series of update packets with deterministic transmission and computing times. The main analytical results are summarized as follows. Firstly, the minimum deadline to guarantee the successful transmission and computing of all packets is given. Secondly, a \emph{no-wait computing} policy which intuitively attains the minimum AoI is introduced, and the feasibility condition of the policy is derived. Finally, a closed-form optimal scheduling policy is obtained on the condition that the deadline exceeds a certain threshold. The behavior of the optimal transmission and computing policy is illustrated by numerical results with different values of the deadline, which validates the analytical results.
