Spatial Multiplexing (SM) is an effective means for enhancing
the transmission data rate in Multiple-Input Multiple-
Output (MIMO) systems, particularly when used in combination
with precoding. Precoding based on the knowledge of
the slow-varying statistics of the channel exploits this information
at the transmitter to combat the effect of fading in SM
systems. Moreover, this technique requires little feedback
overhead and can therefore be used in fast fading environments.
In this paper, we consider a MIMO-Orthogonal Frequency
Division Multiplexing (OFDM) system. We exploit
the knowledge of the tap correlation and the transmit antenna
correlation present in the frequency-selective channel to propose
a low-complexity precoding scheme that minimizes the
sum of the symbol Mean Square Errors (MSEs) over all subcarriers.
Simulations show that exploiting the knowledge of
both the tap and the spatial correlation improves the performance
of the MIMO-OFDM system.
%0 Conference Paper
%1 Lebrun09
%A Lebrun, Y.
%A Hofbauer, C.
%A Ramon, V.
%A Bourdoux, A.
%A Huemer, M.
%A Horlin, F.
%A Lauwereins, R.
%B Proceedings of the European Signal Processing Conference (EUSIPCO' 2009)
%D 2009
%K relay
%T Tap and Transmit Antenna Correlation Based Precoding for MIMO-OFDM Systems
%U http://www.eurasip.org/Proceedings/Eusipco/Eusipco2009/contents/papers/1569192102.pdf
%X Spatial Multiplexing (SM) is an effective means for enhancing
the transmission data rate in Multiple-Input Multiple-
Output (MIMO) systems, particularly when used in combination
with precoding. Precoding based on the knowledge of
the slow-varying statistics of the channel exploits this information
at the transmitter to combat the effect of fading in SM
systems. Moreover, this technique requires little feedback
overhead and can therefore be used in fast fading environments.
In this paper, we consider a MIMO-Orthogonal Frequency
Division Multiplexing (OFDM) system. We exploit
the knowledge of the tap correlation and the transmit antenna
correlation present in the frequency-selective channel to propose
a low-complexity precoding scheme that minimizes the
sum of the symbol Mean Square Errors (MSEs) over all subcarriers.
Simulations show that exploiting the knowledge of
both the tap and the spatial correlation improves the performance
of the MIMO-OFDM system.
@inproceedings{Lebrun09,
abstract = {Spatial Multiplexing (SM) is an effective means for enhancing
the transmission data rate in Multiple-Input Multiple-
Output (MIMO) systems, particularly when used in combination
with precoding. Precoding based on the knowledge of
the slow-varying statistics of the channel exploits this information
at the transmitter to combat the effect of fading in SM
systems. Moreover, this technique requires little feedback
overhead and can therefore be used in fast fading environments.
In this paper, we consider a MIMO-Orthogonal Frequency
Division Multiplexing (OFDM) system. We exploit
the knowledge of the tap correlation and the transmit antenna
correlation present in the frequency-selective channel to propose
a low-complexity precoding scheme that minimizes the
sum of the symbol Mean Square Errors (MSEs) over all subcarriers.
Simulations show that exploiting the knowledge of
both the tap and the spatial correlation improves the performance
of the MIMO-OFDM system.},
added-at = {2016-06-30T15:55:44.000+0200},
author = {Lebrun, Y. and Hofbauer, C. and Ramon, V. and Bourdoux, A. and Huemer, M. and Horlin, F. and Lauwereins, R.},
biburl = {https://www.bibsonomy.org/bibtex/29fce27110ca8b2b72161c85b672c8fae/lakeside-labs},
booktitle = {Proceedings of the European Signal Processing Conference (EUSIPCO' 2009)},
interhash = {1a3bb6ecad9cd4e40d0c9ee64fcd00e6},
intrahash = {9fce27110ca8b2b72161c85b672c8fae},
issn = {2076-1465},
keywords = {relay},
location = {Glasgow, Great Britain},
month = aug,
timestamp = {2016-07-19T10:59:43.000+0200},
title = {Tap and Transmit Antenna Correlation Based Precoding for MIMO-OFDM Systems},
url = {http://www.eurasip.org/Proceedings/Eusipco/Eusipco2009/contents/papers/1569192102.pdf},
year = 2009
}