Analytical Model of 5G V2X Mode 2 for Sporadic Traffic
Dmitry Bankov, Evgeny Khorov, Artem Krasilov, Artem Otmakhov

TL;DR
This paper presents an analytical model for 5G V2X Mode 2 that accurately estimates packet loss and capacity for sporadic traffic, aiding in optimizing transmission parameters for high-reliability, low-latency vehicular communication.
Contribution
It introduces a novel analytical model for 5G V2X Mode 2 that improves accuracy over existing models and helps optimize network performance in autonomous vehicle scenarios.
Findings
Model accurately estimates packet loss rate.
Model helps optimize transmission parameters.
Supports high-reliability, low-latency V2X applications.
Abstract
5G Vehicle-to-Everything (V2X) is a promising technology to satisfy the increasing demands of intelligent transportation systems. Emerging V2X applications with a high level of automation impose very strict requirements on latency (less than 10 ms) and reliability (higher than 99.99%). For sporadic traffic, such demands can be satisfied with a distributed channel access method called Mode 2. This letter proposes an analytical model of Mode 2 that estimates the packet loss rate and the network capacity taking into account the peculiarities of Mode 2 and -- in contrast to the existing models -- provides the accuracy required in the emerging V2X scenarios. The model can be used to find the optimal transmission parameters that maximize the network capacity and/or to select the required bandwidth.
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