DocumentCode
2292729
Title
Modelling broadband 2×2 MIMO channels in indoor-outdoor scenarios
Author
Fernández, O. ; Domingo, M. ; Torres, R.P.
Author_Institution
Dept. de Ing. de Comun., Univ. de Cantabria, Santander
fYear
2009
fDate
13-15 May 2009
Firstpage
1
Lastpage
5
Abstract
A stochastic 2times2 MIMO wideband channel modelling method is presented. This channel model uses tapped delay lines (TDL) to model the subchannels and a single channel spatial correlation matrix to introduce the statistical dependence. This model represents a novel simplification with respect to other wideband MIMO models. The channel models obtained from this method are accurate and computationally efficient. Using this method and previous channel measurements carried out by the authors, channel models of outdoor-indoor scenarios are obtained. These models will be very useful in the context of future and present broadband fixed wireless systems (BFWS) based on the use of multiple antennas on the transmitter and the receiver side (MIMO). The results show that the simulated channels provides channel capacity results similar to the measured ones.
Keywords
MIMO communication; broadband antennas; channel capacity; correlation methods; matrix algebra; statistical analysis; wireless channels; broadband MIMO channel modelling; broadband fixed wireless systems; channel capacity; indoor-outdoor scenarios; multiple antennas; spatial correlation matrix; statistical dependence; tapped delay lines; wideband MIMO models; Antenna measurements; Broadband antennas; Context modeling; Delay lines; MIMO; Receiving antennas; Stochastic processes; Transmitters; Transmitting antennas; Wideband; BFWA; Capacity; Channel Modeling; Correlation Matrix; MIMO; TDL;
fLanguage
English
Publisher
ieee
Conference_Titel
Broadband Multimedia Systems and Broadcasting, 2009. BMSB '09. IEEE International Symposium on
Conference_Location
Bilbao
Print_ISBN
978-1-4244-2590-7
Electronic_ISBN
978-1-4244-2591-4
Type
conf
DOI
10.1109/ISBMSB.2009.5133765
Filename
5133765
Link To Document