On the Performance of Irregular Repetition Slotted ALOHA with an Age of Information Threshold
Hooman Asgari, Andrea Munari, Gianluigi Liva

TL;DR
This paper introduces an age-threshold IRSA protocol for IoT networks that dynamically admits devices based on their age of information, significantly reducing average network AoI compared to existing methods.
Contribution
The paper proposes a novel age-threshold IRSA protocol that uses receiver feedback to improve AoI performance in grant-free IoT communications.
Findings
AT-IRSA more than halves the average network AoI compared to plain IRSA.
The approach outperforms recent feedback-based slotted ALOHA solutions.
Analytical approximation closely matches simulation results.
Abstract
The present paper focuses on an IoT setting in which a large number of devices generate time-stamped updates addressed to a common gateway. Medium access is regulated following a grant-free approach, and the system aims at maintaining an up-to-date knowledge at the receiver, measured through the average network age of information (AoI). In this context, we propose a variation of the irregular repetition slotted ALOHA (IRSA) protocol. The scheme, referred to as age-threshold IRSA (AT-IRSA), leverages feedback provided by the receiver to admit to the channel only devices whose AoI exceeds a dynamically adapted target value. By means of detailed networks simulations, as well as of a simple yet tight analytical approximation, we demonstrate that the approach can more than halve the average network AoI compared to plain IRSA, and offers notable improvements over feedback-based…
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Taxonomy
TopicsAge of Information Optimization · IoT Networks and Protocols · Context-Aware Activity Recognition Systems
