Double-Directional V2V Channel Measurement using ReRoMA at 60 GHz

TL;DR

This paper presents real-time double-directional V2V channel measurements at 60 GHz using ReRoMA, providing insights into propagation characteristics for autonomous vehicle communication in various driving scenarios.

Contribution

It introduces a novel measurement approach with ReRoMA for dynamic 60 GHz V2V channels and offers detailed channel parameter analysis across different driving situations.

Findings

Path loss coefficient around 1.9

RMS delay spread from 5 ns to 110 ns

Channel stationarity lasts for several seconds

Abstract

The coordination of vehicles is a crucial element of autonomous driving, as it enhances the efficiency, convenience, and safety of road traffic. In order to fully exploit the capabilities of such coordination, communication with high data rate and low latency is required. It can be reasonably argued that millimeter-wave (mm-wave) vehicle-to-vehicle (V2V) systems are capable of fulfilling the aforementioned requirements. Nevertheless, in order to develop a system that can be deployed in real-world scenarios and to gain an understanding of the various effects of mm-wave propagation, it is necessary to perform radio propagation measurements and to derive radio channel models from them across a range of scenarios and environments. To this end, we have conducted measurement campaigns at 60\,GHz in a variety of situations, including driving in a convoy, driving in opposite direction on a six-lane road, and overtaking. These measurements employ a channel sounder based on ReRoMA, a recently introduced concept that enables the real-time measurement of dynamic double-directional radio channels. The evaluations presented herein encompass key channel parameters, including the path loss (path loss coefficient of approximately 1.9), the root mean square (RMS) delay spread (within a range of 5\,ns to 110\,ns), the angular spreads (in a range of 0.05 to 0.4), the power distribution among multipath components, and the channel stationarity time (multiple seconds).