Controlled Mobility for C-V2X Road Safety Reception Optimization

TL;DR

This paper proposes a controlled mobility algorithm for C-V2X vehicles that adaptively adjusts positions to optimize packet reception rate and fairness, enhancing road safety communication reliability.

Contribution

It introduces a novel controlled mobility approach using one-hop information to improve C-V2X broadcast performance in safety scenarios.

Findings

Algorithm converges in simulations

Improves aggregated PRR

Enhances fairness in message reception

Abstract

The use case of C-V2X for road safety requires real-time network connection and information exchanging between vehicles. In order to improve the reliability and safety of the system, intelligent networked vehicles need to move cooperatively to achieve network optimization. In this paper, we use the C-V2X sidelink mode 4 abstraction and the regression results of C-V2X network level simulation to formulate the optimization of packet reception rate (PRR) with fairness in the road safety scenario. Under the optimization framework, we design a controlled mobility algorithm for the transmission node to adaptively adjust its position to maximize the aggregated PRR using only one-hop information. Simulation result shows that the algorithm converges and improve the aggregated PRR and fairness for C-V2X mode broadcast messages.