Discrete Packet Management: Analysis of Age of Information of Discrete Time Status Updating Systems
Jixiang Zhang

TL;DR
This paper derives the stationary Age of Information distribution for various discrete-time status updating queue models, including preemptive and finite-size queues, providing explicit formulas and additional system metrics.
Contribution
It introduces a comprehensive stochastic process framework to analyze AoI in discrete-time queues, deriving explicit stationary distributions for multiple queue configurations.
Findings
Explicit AoI-distribution formulas for Ber/G/1/1 and Ber/Geo/1/1 queues.
Stationary AoI-distribution for size-2 queues Ber/Geo/1/2 and Ber/Geo/1/2*.
Additional distributions such as packet system time, waiting time, and violation probabilities.
Abstract
In this paper, we consider performing packet managements in discrete time status updating system, focusing on determining the stationary AoI-distribution of the system. Firstly, let the queue model be Ber/G/1/1, we obtain the AoI-distribution by introducing a two-dimensional AoI-stochastic process and solving its steady state, which describes the random evolutions of AoI and age of packet in system simultaneously. In this case, actually we analyze a more general queue called probabilistic preemption Ber/G/1/1, where the packet service is allowed to be preempted with certain probabilities. As a special case, stationary AoI-distribution for the system with Ber/Geo/1/1 queue is obtained either. For the system having size 2, two specific queues are considered, i.e., the Ber/Geo/1/2 and Ber/Geo/1/2* queues. The core idea to find the stationary AoI-distribution is that the random transitions…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAge of Information Optimization · Cognitive Functions and Memory · IoT Networks and Protocols
