This paper considers the distribution of a general peak age of information (AoI) model and develops a general analysis approach for probabilistic performance guarantee from the time-domain perspective. Firstly, a general relationship between the peak AoI and the inter-arrival and service times of packets is revealed. With the help of martingale theory, a probabilistic bound on the peak AoI is then derived for the general case of endogenous independently and identically distributed increments in information generation and transmission processes. Thereafter, the application of the obtained bound is illustrated with the M/M/1 and D/M/1 queuing models. The validity of the proposed bound is finally examined with numerical results.
翻译:本文件考虑了信息一般高峰期(AoI)模型的分布情况,并从时间-域角度为概率性能保证制定了一种一般分析方法。首先,揭示了AoI峰值与包裹抵达期间和服务时间之间的一般关系。在马丁格尔理论的帮助下,AoI峰值的概率约束是针对信息生成和传输过程中内生独立和分布相同的递增的一般情况得出的。随后,获得的约束的适用情况与M/M/1和D/M/1排队模型作了说明。最后,用数字结果对拟议约束的有效性进行了审查。