Title
Characterizing the Spectral Properties and Time Variation of the In-Vehicle Wireless Communication Channel
Abstract
To deploy effective communication systems in vehicle cavities, it is critical to understand the time variation of the in-vehicle channel. Initially, rapid channel variation is addressed, which is characterized in the frequency domain as a Doppler spread. It is then shown that, for typical Doppler spreads, the in-vehicle channel is underspread, and therefore, the information capacity approaches the capacity achieved with perfect receiver channel state information in the infinite bandwidth limit. Measurements are performed for a number of channel variation scenarios (e.g., absorptive motion, reflective motion, one antenna moving, and both antennas moving) at a number of carrier frequencies and for a number of cavity loading scenarios. It is found that the Doppler spread increases with carrier frequency; however, the type of channel variation and loading appear to have little effect. Channel variation over a longer time period is also measured to characterize the slower channel variation. Channel variation is a function of the cavity occupant motion, which is difficult to model theoretically; therefore, an empirical model for the slow channel variation is proposed, which leads to an improved estimate of the channel state.
Year
DOI
Venue
2014
10.1109/TCOMM.2014.2328635
Communications, IEEE Transactions  
Keywords
Field
DocType
mobile radio,radio receivers,wireless channels,Doppler spread,carrier frequencies,channel variation,communication systems,information capacity,invehicle wireless communication channel,receiver channel state information,spectral properties,time variation,vehicle cavities,Doppler spread,Vehicle cavities,auto-regressive model,electromagnetic cavities,information capacity,reverberation chambers,time correlation,underspread channels
Frequency domain,Autoregressive model,Wireless,Computer science,Electromagnetics,Communication channel,Communications system,Electronic engineering,Doppler effect,Channel state information
Journal
Volume
Issue
ISSN
62
7
0090-6778
Citations 
PageRank 
References 
4
0.41
6
Authors
4
Name
Order
Citations
PageRank
Steven Herbert141.09
Ian J. Wassell228835.10
Tian Hong Loh3113.63
Jonathan Rigelsford440.41