Efficient coverage planning for full-area C-ITS communications based on radio propagation simulation and measurement tools

TL;DR

This paper introduces efficient methods for planning and evaluating roadside unit coverage in intelligent transportation infrastructure, combining radio propagation simulation and real-world measurements to optimize deployment for connected and automated driving.

Contribution

It presents a comprehensive approach integrating simulation and measurement for RSU coverage planning, validated on a rural testbed for automated driving.

Findings

Simulation-based RSU placement optimization

Calibration of models with real-world measurements

Effective coverage planning for rural C-ITS environments

Abstract

Intelligent infrastructure, currently often consisting of C-ITS stations and prospectively supplemented by 5G, is a key-enabler for application-oriented and area-wide realization of highly automated and connected driving. For this, radio coverage along the routes must be ensured, leading to high demands on location- and radio-specific planning and parameterization of roadside units (RSU). Hence, this paper presents efficient planning, measurement and evaluation methods for RSU coverage outlining, allowing economically efficient and technically secured planning of intelligent infrastructure. Necessary scientific technical steps are showcased along a 3.5 km testbed for automated and connected driving in rural environments. First, a radio propagation simulation based on a 3D environment model and its electro-magnetic properties is performed, allowing the examination and optimization of RSU quantity as well as site and antenna selection. Additionally, the necessary calibration of simulation results based on continuous wave (CW) and C-ITS service measurements in both lab-based and real-world scenarios is presented.