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A. Habib, B. Krasniqi, M. Rupp:
"Convex optimization for receive antenna selection in multi-polarized MIMO transmissions";
Talk: International Conference on Systems, Signals and Image Processing (IWSSIP), Vienna; 04-11-2012 - 04-13-2012; in: "19th International Conference on Systems, Signals and Image Processing (IWSSIP), 2012", B. Krasniqi (ed.); (2012), ISBN: 978-3-200-02328-4; Paper ID 1569526133, 7 pages.

Diversity and achievable rate in wireless transmissions can be
enhanced by using multiple-input multiple-output (MIMO)
systems. This directly increases the overall cost due to additional
Radio Frequency (RF) chains for each antenna element.
The issue can be resolved with antenna selection techniques
at the transmitter or the receiver by using a small number of
RF chains. These RF chains are multiplexed between larger
number of transmitter/receiver antenna elements. Dual and
triple polarized antenna structures are a very good solution for
realizing compact devices and also robust against many imperfections
as compared to spatially separated antenna structures.
We model such polarized antenna systems and then apply
convex optimization theory for selecting the best possible
antennas in terms of capacity maximization. Channel parameters
like transmit and receive correlations, cross-polarization
discrimination (XPD) are taken into consideration while modeling
polarized systems. We compare our results with the
Spatially Separated (SP) MIMO with and without selection
by performing extensive Monte-Carlo simulations. We found
that by using convex optimization algorithm, the performance
of multiple polarized systems can be significantly enhanced.
For certain channel conditions we observe that triple polarized
systems increase the performance significantly compared
to dual-polarized and spatially separated systems. We observed
that applying selection at the receiver only boosts the
performance in Non Line of sight (NLOS) channels compared
to Line of Sight (LOS) channels.

Antenna Selection, dual polarization, triple polarization, spatial correlation, angular correlation, cross polarization discrimination (XPD), convex optimization.

http://publik.tuwien.ac.at/files/PubDat_208574.pdf

Project Head Christoph Mecklenbräuker:
Christian Doppler Lab "Funktechnologien für nachhaltige Mobilität"