DocumentCode :
2296379
Title :
Extension of Indoor SISO Propagation Models for Correlated MIMO Channels - An Exemplification Applying Saleh´s Model
Author :
Knopp, Andreas ; Hofmann, Christian A. ; Chouayakh, Mohamed ; Lank, Berthold
Author_Institution :
Munich Univ. of the Bundeswehr, Neubiberg
fYear :
2007
fDate :
3-7 Sept. 2007
Firstpage :
1
Lastpage :
6
Abstract :
A novel strategy for the modeling of indoor MIMO channels based on a spatial extension of appropriate SISO channel models is presented. The approach enables a precalculation of potential MIMO spectral efficiencies within a particular environment from the SISO channel information while taking into account the correlation of the MIMO channel. The objective measure is given by the spatial probability distribution of the MIMO capacity which is to be predicted correctly. The method is exemplified by Saleh´s popular SISO indoor channel model. However, the approach is not limited to this SISO model. In order to practically verify the method, firstly, the key parameters for the SISO model are derived from measured data, before the extension to the MIMO channel model is performed. Finally, the spatial cumulative distribution function, which is predicted by the model is compared to its counterpart which was derived using a fast MIMO radio channel sounder. In the measurements a strong line-of-sight (LOS) signal component was always present resulting in correlated entries within the MIMO channel matrix. For the accurate capacity modeling in such correlated channels, the characterization of the LOS signal part by a spherical wave model is a crucial prerequisite.
Keywords :
MIMO communication; channel capacity; matrix algebra; wireless channels; MIMO channel matrix; MIMO spectral efficiencies; Saleh´s model; capacity modeling; correlated MIMO channels; indoor MIMO channels; indoor SISO propagation models; line-of-sight signal component measurement; spherical wave model; Antenna measurements; Channel capacity; MIMO; Mobile communication; Performance evaluation; Power system modeling; Power system reliability; Predictive models; Receiving antennas; Statistical distributions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-1144-3
Electronic_ISBN :
978-1-4244-1144-3
Type :
conf
DOI :
10.1109/PIMRC.2007.4394447
Filename :
4394447
Link To Document :
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