DocumentCode
1705358
Title
Efficient interpolation of precoding matrices in MIMO-OFDM systems
Author
Chou, Yu-Feng ; Sang, Tzu-Hsien
Author_Institution
Dept. Electron. Eng., Nat. Chiao-Tung Univ., Hsinchu, Taiwan
fYear
2010
Firstpage
1
Lastpage
4
Abstract
One way of fully exploiting the channel capacity in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems is to deploy precoding vectors derived from SVD to form parallel data pipes. Optimal precoding requires accurate channel state information for each OFDM subcarrier. This paper proposes a limited channel decomposition architecture by using an interpolation method to reduce the computation cost of precoding. In this scheme, only on the pilot subcarriers the estimated channel information is used to get SVD decomposition results, and precoding vectors on other subcarriers are obtained by an orthogonal interpolation method. The interpolation relies on an important assumption that the singular modes on adjacent subcarriers change approximately in a linear way. Numerical simulations suggests that with appropriate settings, e.g., proper FFT size and interpolation gap etc., the proposed scheme can reduce computation efficiently while only sacrifice little performance.
Keywords
MIMO communication; OFDM modulation; channel capacity; interpolation; matrix algebra; precoding; singular value decomposition; vectors; MIMO-OFDM system; SVD; channel capacity; channel decomposition architecture; orthogonal interpolation method; precoding matrix interpolation interpolation; precoding vector; Argon; Heating; Interpolation; Matrix decomposition; Modulation; Signal to noise ratio; Switches; Array signal processing; Interpolation; MIMO-OFDM; SVD;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Advances in Wireless Communications (SPAWC), 2010 IEEE Eleventh International Workshop on
Conference_Location
Marrakech
ISSN
1948-3244
Print_ISBN
978-1-4244-6990-1
Electronic_ISBN
1948-3244
Type
conf
DOI
10.1109/SPAWC.2010.5671092
Filename
5671092
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