Agenet: age of information evaluation in wireless networks

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.