MIMO Channel Modelling: The Kronecker Model and Maximum Entropy

Author

Maharaj, B.T. ; Linde, L.P. ; Wallace, J.W.

Author_Institution

Dept. of Electr., Electron. & Comput. Eng., Pretoria Univ.

fYear

2007

fDate

11-15 March 2007

Firstpage

1909

Lastpage

1912

Abstract

A method for determining the maximum entropy (ME) estimate of the full joint transmit/receive MIMO channel covariance matrix is presented, where only knowledge of the separate transmit and receive covariances is assumed. The resulting ME covariance is similar to, but distinct from, the Kronecker modelling strategy, warranting a direct comparison of the two techniques. Application of the method to wideband indoor multiple-input multiple-output (MIMO) measurements taken at 2.4 GHz indicates a slight improvement in the modelling accuracy of the dominant covariance eigenvalues compared to the Kronecker model. On the other hand, the double-directional joint transmit/receive Bartlett spectra are nearly identical, indicating that the ME technique does not significantly improve modelling of the channel multipath structure. This fact suggests that accurate multipath modelling for MIMO systems may not be possible without detailed joint transmit/receive channel knowledge.

Keywords

MIMO communication; covariance matrices; fading channels; maximum entropy methods; multipath channels; 2.4 GHz; Bartlett spectra; Kronecker model; MIMO channel modelling; channel multipath structure; covariance matrix; improved modelling; maximum entropy; multipath modelling; wideband indoor MIMO measurements; Africa; Communications Society; Covariance matrix; Eigenvalues and eigenfunctions; Entropy; MIMO; Parameter estimation; Quality of service; Statistics; Wideband;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Networking Conference, 2007.WCNC 2007. IEEE

Conference_Location

Kowloon

ISSN

1525-3511

Print_ISBN

1-4244-0658-7

Electronic_ISBN

1525-3511

Type

conf

DOI

10.1109/WCNC.2007.358

Filename

4224603