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2022
Conference Paper
Title
A Probabilistic Model of the Age of Information for Distributed Periodic Reservations in Sidelink
Abstract
To enable safety-related applications for autonomous driving, Vehicle-to-Everything (V2X) networks are required to support the dissemination of real-time status updates among neighboring vehicles. In this scenario, the 'freshness' of information with respect to an application-specific threshold is crucial for the availability of the application. In this paper, we rely on the Age of Information (AoI) as a metric that quantifies the availability of safety-related applications in V2X. Under the assumption of a distributed reservation-based channel access, we derive a probabilistic model that allows us to characterize the statistical properties of AoI and, consequently, evaluate the availability of the application in question. The analytical derivations are validated via numerical simulations.
Author(s)