Agenet: age of information evaluation in wireless networks

Chathuranga M.Wijerathna Basnayaka; Nuno Fachada

doi:10.1016/j.softx.2025.102086

Agenet: age of information evaluation in wireless networks

Chathuranga M.Wijerathna Basnayaka, Nuno Fachada

COPELABS - Cognitive and People-centric Computing

Research output: Contribution to journal › Article › peer-review

Abstract

The Age of Information (AoI) has emerged as a critical performance metric for evaluating time-sensitive wireless communications systems, where maintaining freshness of information and transmission reliability is crucial. In modern ultra-reliable low-latency communication networks, short-packet transmissions are essential for energy efficiency and low latency. This paper introduces Agenet, an open-source Python package designed to estimate AoI in cooperative wireless networks. It implements a system model over Rayleigh fading channels, combining finite blocklength information theory and AoI analysis. The package offers tools to calculate signal-to-noise ratio, block error rate, and both theoretical and simulated AoI. By enabling analysis of AoI performance under various network configurations, Agenet supports research and development of efficient wireless systems for time-critical applications.

Original language	English
Article number	102086
Pages (from-to)	102086
Journal	SoftwareX
Volume	30
DOIs	https://doi.org/10.1016/j.softx.2025.102086
Publication status	Published - May 2025

Bibliographical note

DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

Funding

This research was partially funded by the Fundação para a Ciência e a Tecnologia (FCT, https://ror.org/00snfqn58) under Grants UIDB/04111/2020, UIDB/00066/2020, and CEECINST/00002/2021/CP2788/CT0001, as well as by the Instituto Lusófono de Investigação e Desenvolvimento (ILIND), Portugal under Projects COFAC/ILIND/COPELABS/1/2022 and COFAC/ILIND/COPELABS/1/2024.

Funders	Funder number
Fundação para a Ciência e a Tecnologia	UIDB/50008/2020, CEECINST/00002/2021/CP2788/CT0001, UIDB/04111/2020, UIDB/00066/2020
Instituto Lusófono de Investigação e Desenvolvimento	COFAC/ILIND/COPELABS/1/2024, COFAC/ILIND/COPELABS/1/2022

Keywords

Age of Information
Short-packet transmission
Wireless networks

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10.1016/j.softx.2025.102086

Cite this

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title = "Agenet: age of information evaluation in wireless networks",

abstract = "The Age of Information (AoI) has emerged as a critical performance metric for evaluating time-sensitive wireless communications systems, where maintaining freshness of information and transmission reliability is crucial. In modern ultra-reliable low-latency communication networks, short-packet transmissions are essential for energy efficiency and low latency. This paper introduces Agenet, an open-source Python package designed to estimate AoI in cooperative wireless networks. It implements a system model over Rayleigh fading channels, combining finite blocklength information theory and AoI analysis. The package offers tools to calculate signal-to-noise ratio, block error rate, and both theoretical and simulated AoI. By enabling analysis of AoI performance under various network configurations, Agenet supports research and development of efficient wireless systems for time-critical applications.",

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Agenet: age of information evaluation in wireless networks

Abstract

Bibliographical note

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Keywords

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