A Methodology for Abstracting the Physical Layer of Direct V2X Communications Technologies

TL;DR

This paper introduces a new methodology for modeling the physical layer of V2X communications that enables performance evaluation across diverse configurations without extensive measurements or simulations.

Contribution

It proposes a scalable approach using an implementation loss parameter derived from limited data to extend physical layer models to various configurations.

Findings

The methodology accurately predicts network performance across multiple configurations.

Validation shows good trade-off between complexity, generality, and accuracy.

Effective for both IEEE 802.11p and LTE-V2X sidelink technologies.

Abstract

Recent advancements in V2X communications have greatly increased the flexibility of the physical and medium access control (MAC) layers. This increases the complexity when investigating the system from a network perspective to evaluate the performance of the supported applications. Such flexibility needs in fact to be taken into account through a cross-layer approach, which might lead to challenging evaluation processes. As an accurate simulation of the signals appears unfeasible, a typical solution is to rely on simple models for incorporating the physical layer of the supported technologies, based on off-line measurements or accurate link-level simulations. Such data is however limited to a subset of possible configurations and extending them to others is costly when not even impossible. The goal of this paper is to develop a new approach for modelling the physical layer of vehicle-to-everything (V2X) communications that can be extended to a wide range of configurations without leading to extensive measurement or simulation campaign at the link layer. In particular, given a scenario and starting from results in terms of packet error rate (PER) vs. signal-to-interference-plus-noise ratio (SINR) related to a subset of possible configurations, we derive one parameter, called implementation loss, that is then used to evaluate the network performance under any configuration in the same scenario. The proposed methodology, leading to a good trade-off among complexity, generality, and accuracy of the performance evaluation process, has been validated through extensive simulations with both IEEE 802.11p and LTE-V2X sidelink technologies in various scenarios.