Latency Analysis of Vehicle-to-Pedestrian C-V2X Communications at Urban Street Intersections

TL;DR

This paper analyzes the end-to-end latency of Vehicle-to-Pedestrian communications using C-V2X at urban intersections, highlighting current challenges and proposing MEC servers to significantly reduce latency for safer, reliable V2P interactions.

Contribution

It evaluates LTE-V2P performance in urban scenarios and demonstrates how MEC servers can drastically lower latency, improving V2P communication reliability.

Findings

Current LTE-V2P latency is high in urban intersections.

Utilizing MEC servers can significantly reduce latency.

Proposed architecture enhances V2P communication feasibility.

Abstract

Cellular Vehicle-to-Everything (C-V2X) technology promises to provide ultra-reliable low latency communication (URLLC) framework for connected vehicles. Connected vehicles can help us improve traffic safety, congestion and reduce fatal accidents. C-V2X promises new levels of connectivity and intelligence providing numerous features like infotainment, always-on telematics, real-time navigation, etc. with heterogeneous network architecture. C-V2X leverages existing cellular architecture and is on the way to replace DSRC/WAVE for vehicular communication. There are still some challenges which needs to be tackled before C-V2X can be deployed for efficient on-road V2X. In this paper, we look at end-to-end latency for Vehicle-to-Pedestrian (V2P) which demands ultra low latencies with reliable packet delivery ratio. To evaluate the LTE-V2P performance, we used network simulator for an urban intersection scenario where vulnerable road-side users (VRUs) are trying to cross the street and they communicate with moving vehicles. We evaluated the end-to-end latency and throughput for the given scenario and concluded that with the existing network architecture the latency is high. By utilizing multi-edge access computing (MEC) servers latency can be reduce drastically and hence can be made feasible for cellular V2P communication.