Information Freshness Analysis of Slotted ALOHA in Gilbert-Elliot Channels

Andrea Munari; Gianluigi Liva

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arXiv · 2103.13346

Information Freshness Analysis of Slotted ALOHA in Gilbert-Elliot Channels

Andrea Munari·Gianluigi Liva

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Abstract

This letter analyzes a class of information freshness metrics for large IoT systems in which terminals employ slotted ALOHA to access a common channel. Considering a Gilbert- Elliot channel model, information freshness is evaluated through a penalty function that follows a power law of the time elapsed since the last received update, in contrast with the linear growth of age of information. By means of a signal flow graph analysis of Markov processes, we provide exact closed form expressions for the average penalty and for the peak penalty violation probability.

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Andrea Munari, Gianluigi Liva. 2021-03-24. Information Freshness Analysis of Slotted ALOHA in Gilbert-Elliot Channels. https://arxiv.org/abs/2103.13346

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