AI 中文总结
研究单源单服务器连续时间状态更新系统，提出分析方法推导平均信息年龄等指标，并用一维线搜索调整概率抢占和基于阈值的抢占两种策略，验证了策略调整对对数正态分布更新服务时间的有效性。
AI 中文摘要
在这项工作中，我们研究了一个单源单服务器连续时间状态更新系统，其中更新根据泊松过程到达，更新服务时间服从一般分布。在我们提出的设置中，抢占策略是指新更新以取决于正在服务的更新年龄的概率抢占正在进行的更新。我们首先提出一种分析方法，用于推导任何此类抢占策略的平均信息年龄（AoI）和平均峰值AoI（PAoI）。然后利用该分析来调整两种特定的抢占策略：（i）概率抢占（PP），其中抢占根据固定概率发生，与更新年龄无关；（ii）基于阈值的抢占（TP），当更新年龄超过某个阈值时发生抢占，两者都使用一维线搜索。使用对数正态分布的更新服务时间验证了PP和TP策略的策略调整的有效性。
英文摘要
In this work, we study a single-source single-server continuous-time status update system where the updates arrive according to a Poisson process and update service times are generally distributed. In our proposed setting, a preemption policy refers to one where a new update preempts the ongoing one with a probability depending on the age of the update in service. We first propose an analytical method to derive the average age of information (AoI) and average peak AoI (PAoI) for any such preemption policy. This analysis is then utilized to tune two particular preemption policies: (i) probabilistic preemption (PP), in which preemption takes place according to a fixed probability regardless of the update age, (ii) threshold-based preemption (TP), for which preemption is incurred when the update age exceeds a certain threshold, both using one-dimensional line search. The effectiveness of policy tuning for the PP and TP policies is validated using lognormal-distributed update service times.
Comments6 pages, 4 figures
