Paper Info
Title
Modeling of wide-band MIMO radio channels based on NLoS indoor measurements
Abstract
In this paper, we first verify a previously proposed Kronecker-structure-based narrow-band model for nonline-of-sight (NLoS) indoor multiple-input-multiple-output (MIMO) radio channels based on 5.2-GHz indoor MIMO channel measurements. It is observed that, for the narrow-band case, the measured channel coefficients are complex Gaussian distributed and, consequently, we focus on a statistical description using the first- and second-order moments of MIMO radio channels. It is shown that the MIMO channel covariance matrix can be well approximated by the Kronecker product of the covariance matrices, seen from the transmitter and receiver, respectively. A narrow-band model for NLoS indoor MIMO channels is thus verified by these results. As for the wide-band case, it is observed that the average power-delay profile of each element of the channel impulse response matrix fits the exponential decay curve and that the Kronecker structure of the second-order moments can be extended to each channel tap. A wide-band MIMO channel model is then proposed, combining a simple COST 259 single-input-single-output channel model and the Kronecker structure. Monte Carlo simulations are used to generate indoor MIMO channel realizations according to the models discussed. The results are compared with the measured data using the channel capacity and good agreement is found.
Year
DOI
Venue
2004
10.1109/TVT.2004.827164
IEEE T. Vehicular Technology
Keywords
Field
DocType
nonline-of-sight,channels,kronecker product,kronecker-structure based narrowband model,monte carlo simulations,transmitter,measured channel data,exponential decay curve,receiver,covariance matrices,kronecker structure,multiple-input multiple-output channels,gaussian distribution,index terms—antenna arrays,multipath channels,antenna arrays,single-input single-output channel model,wideband mimo radio channels,channel modeling,monte carlo methods,channel capacity,multiple-input–multiple-output,mimo systems,mimo,power-delay profile,multiple- input-multiple-output mimo channels.,nlos indoor measurements,impulse-response matrix,covariance matrix,indoor radio,monte carlo simulation,telecommunications,indexing terms,second order,radio transmitters,exponential decay,block codes,antenna array
Transmitter,Kronecker product,Computer science,MIMO,Communication channel,Electronic engineering,Covariance matrix,Channel capacity,Precoding,Covariance
Journal
Volume
Issue
ISSN
53
3
0018-9545
Citations 
PageRank 
References 
94
6.10
26
Authors
6
Name
Order
Citations
PageRank
Kai Yu124622.28
Mats Bengtsson21493110.70
Björn E. Ottersten36418575.28
Darren McNamara419518.39
Peter Karlsson518517.78
Mark Beach618616.53