Modern Random Access: an Age of Information Perspective on Irregular Repetition Slotted ALOHA
Andrea Munari

TL;DR
This paper analyzes the Age of Information in modern random access protocols, specifically IRSA, providing a Markovian framework to evaluate its performance and revealing significant advantages over traditional slotted ALOHA in maintaining data freshness.
Contribution
It offers the first analytical study of AoI in IRSA, deriving closed-form expressions and highlighting the impact of protocol parameters on information freshness.
Findings
IRSA outperforms slotted ALOHA in AoI metrics.
The protocol's frame size critically affects AoI performance.
A Markovian model accurately captures AoI evolution in IRSA.
Abstract
Age of information (AoI) is gaining attention as a valuable performance metric for many IoT systems, in which a large number of devices report time-stamped updates to a central gateway. This is the case, for instance, of remote sensing, monitoring, or tracking, with broad applications in the industrial, vehicular, and environmental domain. In these settings, AoI provides insights that are complementary to those offered by throughput or latency, capturing the ability of the system to maintain an up-to-date view of the status of each transmitting device. From this standpoint, while a good understanding of the metric has been reached for point-to-point links, relatively little attention has been devoted to the impact that link layer solutions employed in IoT systems may have on AoI. In particular, no result is available for modern random access protocols, which have recently emerged as…
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