DocumentCode :
1632862
Title :
Optimal Precoding for Orthogonalized Spatial Multiplexing in MIMO Wireless Systems
Author :
Kim, Young-Tae ; Lee, Heunchul ; Park, Seokhwan ; Lee, Inkyu
Author_Institution :
Sch. of Electr. Eng., Korea Univ., Seoul
fYear :
2008
Firstpage :
4739
Lastpage :
4743
Abstract :
This paper proposes a new precoding algorithm for orthogonalized spatial multiplexing (OSM) systems over flat-fading multiple-input multiple-output (MIMO) channels. The OSM scheme was recently introduced for closed-loop MIMO systems which allows single symbol decodability for maximum likelihood detection. To further improve the performance in OSM systems, we propose a new precoding method. For identifying the parameters of a precoder, we introduce a partitioning approach on the minimum Euclidean distance between constellation points in the effective channel. Also, it is shown that two real value parameters and one bit are required for feedback information in 4-QAM systems. Simulation results demonstrate that our precoding algorithm allows us to significantly improve the system performance with small increase of feedback values. We also confirm through simulations that the performance of the proposed scheme is the same as the optimum closed-loop MIMO systems.
Keywords :
MIMO communication; feedback; multiplexing; precoding; quadrature amplitude modulation; wireless sensor networks; MIMO wireless system; QAM system; feedback information; flat-fading multiple-input multiple-output channels; minimum Euclidean distance; optimal precoding; orthogonalized spatial multiplexing; Euclidean distance; Feedback; MIMO; Maximum likelihood decoding; Maximum likelihood detection; OFDM; Quadrature phase shift keying; Symmetric matrices; System performance; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2075-9
Electronic_ISBN :
978-1-4244-2075-9
Type :
conf
DOI :
10.1109/ICC.2008.888
Filename :
4533924
Link To Document :
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