Performance Evaluation for LTE-V based Vehicle-to-Vehicle Platooning Communication

TL;DR

This paper evaluates LTE-V based vehicle-to-vehicle platooning performance using a combined simulation platform, revealing limitations under shadowing and highlighting the need for 5G enhancements for autonomous driving.

Contribution

It develops an integrated simulation platform for LTE-V V2V communication and provides the first end-to-end performance evaluation for platooning systems.

Findings

LTE-V struggles under shadowing effects in platooning scenarios.

Throughput and delay vary significantly across protocol layers.

Further improvements are needed for ultra-reliable low-latency communication.

Abstract

With the raising demand for autonomous driving, vehicle-to-vehicle communications becomes a key technology enabler for the future intelligent transportation system. Based on our current knowledge field, there is limited network simulator that can support end-to-end performance evaluation for LTE-V based vehicle-to-vehicle platooning systems. To address this problem, we start with an integrated platform that combines traffic generator and network simulator together, and build the V2V transmission capability according to LTE-V specification. On top of that, we simulate the end-to-end throughput and delay profiles in different layers to compare different configurations of platooning systems. Through numerical experiments, we show that the LTE-V system is unable to support the highest degree of automation under shadowing effects in the vehicle platooning scenarios, which requires ultra-reliable low-latency communication enhancement in 5G networks. Meanwhile, the throughput and delay performance for vehicle platooning changes dramatically in PDCP layers, where we believe further improvements are necessary.