Cross-Layer Performance Evaluation of C-V2X

TL;DR

The paper addresses the challenge of evaluating C-V2X performance under constrained bandwidth in realistic road scenarios. It introduces a system-level LTE-V2X simulator with vertical integration of ITS geographic/traffic setups and cross-layer PHY/RRC evaluation, including an implemented MCS. Results show a trade-off: higher MCS can reduce latency but may degrade PDR due to obstacles and distance, highlighting the need to balance modulation choice with channel conditions. The framework provides a practical tool for assessing C-V2X viability in restricted-spectrum environments and informing resource allocation and modulation strategies in ITS deployments.

Abstract

As self-driving cars increasingly penetrate our daily lives, vehicle-to-everything (V2X) communications are emerging as one of the key enabler technologies. However, the dynamicity of vehicles (one of whose causes is the mobility of vehicles) often complicates it even further to evaluate the performance of a V2X system. We have been building a system-level simulator dedicated to assessing the performance of V2X communications. We highlight that the simulator features the incorporation of (i) intelligent transportation system (ITS) scenarios in geographical setup and (ii) physical (PHY) and radio resource control (RRC) cross-layer performance evaluation capability. In particular, this abstract reports the status of our implementation of the modulation and coding scheme (MCS).

Figures (2)

• Figure 1: PDF of latency
• Figure 2: CDF of PDR