English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Understanding multi-node vehicular wireless communication channels is crucialfor future time-sensitive safety applications for human-piloted as well aspartly autonomous vehicles on roads, railways and in the air. These highlydynamic wireless communication channels are characterized by rapidly changingchannel statistics. In this paper we present the first fully mobile multi-nodevehicular wireless channel sounding system, which is capable of simultaneouslycapturing multiple channel frequency responses, ensuring that measurementconditions are identical for all observed links. We use it to analyze roadscenarios with multiple vehicles and a large obstructing double-decker bus. Theempirical measurement data is used to parametrize a model for the largeobstructing vehicle within a geometry-based stochastic channel model. Wecompare the time-variant channel statistics obtained from our channel modelwith the ones from the measurement campaign. By means of a channel emulator weobtain the packet error rates of commercial modems for the measured and thesimulated wireless communication channels and compare them, in order tovalidate the model at the link level. We find that the path loss, the root meansquare (RMS) delay spread, and the RMS Doppler spread deviate by less than$3.6\,\mathrm{dB}$, $78\,\mathrm{ns}$, and $52\,\mathrm{Hz}$, respectively, for$80\%$ of the total simulation duration. The PER obtained from measured data iswithin the maximum and minimum bounds of our model for $86\%$ of the simulationduration.

Multi-Node Vehicular Wireless Channels: Measurements, Large Vehicle Modelling, and Hardware-in-the-Loop Evaluation