Analysis of Hierarchical AoII over Unreliable Channels: A Stochastic Hybrid System Approach
Han Xu, Jiaqi Li, Jixiang Zhang, Tiecheng Song, Yinfei Xu

TL;DR
This paper extends the analysis of Age of Information to Age of Incorrect Information (AoII) using stochastic hybrid systems, considering hierarchical ageing processes and providing closed-form expressions for average AoII under various channel conditions.
Contribution
It introduces a systematic analysis of hierarchical AoII with continuous ageing processes and derives closed-form average AoII expressions for different queue and channel scenarios.
Findings
Closed-form average AoII expressions for M/M/1/1 queues over noisy and collision channels.
Analysis of stability conditions for quadratic ageing processes.
Comparison showing AoII performance differs from classic AoI under various parameters.
Abstract
In this work, we generalize the Stochastic Hybrid Systems (SHSs) analysis of traditional AoI to the AoII metric. Hierarchical ageing processes are adopted using the continuous AoII for the first time, where two different hierarchy schemes, i.e., a hybrid of linear ageing processes with different slopes and a hybrid of linear and quadratic ageing processes, are considered. We first modify the main result in \cite[Theorem 1]{yates_age_2020b} to provide a systematic way to analyze the continuous hierarchical AoII over unslotted real-time systems. The closed-form expressions of average hierarchical AoII are obtained based on our Theorem \ref{theorem1} in two typical scenarios with different channel conditions, i.e., an M/M/1/1 queue over noisy channels and two M/M/1/1 queues over collision channels. Moreover, we analyze the stability conditions for two scenarios given that the quadratic…
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Taxonomy
TopicsAge of Information Optimization · Distributed Sensor Networks and Detection Algorithms
