DocumentCode
2429505
Title
Vector precoding based on Geometric Mean Decomposition for MIMO transmission system
Author
Geng, Xuan ; Jiang, Lingge ; He, Chen
Author_Institution
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai
fYear
2008
fDate
7-11 June 2008
Firstpage
280
Lastpage
284
Abstract
The Geometric Mean Decomposition (GMD) for MIMO channel matrix can obtain identical subbchannel gains, which is a useful property to improve performance gains of precoding. In this paper, we combine the vector precoding with GMD for channel matrix to design the transceiver for MIMO transmission system. Under the proposed transceiver structure, the minimum square error (MSE) of receive symbols are obtained. To minimize the MSE, two schemes in terms of perturbation vector are proposed. In the first scheme, the perturbation vector has only continuous values, thus it is regarded as interference for MSE. In the second scheme, the perturbation vector is generalized to have both continuous and discrete values, so it is partially dealt with as interference after modulo operation. In these two schemes, the optimum perturbation vectors are presented in MMSE criterion respectively.
Keywords
MIMO communication; least mean squares methods; matrix algebra; precoding; transceivers; vectors; wireless channels; MIMO transmission system; MMSE; channel matrix; geometric mean decomposition; minimum square error method; perturbation vector; transceiver design; vector precoding; MIMO; Matrix decomposition; Neural networks; Performance gain; Performance loss; Radiofrequency interference; Signal processing; Transceivers; Transmitters; Wireless communication; GMD; MIMO; Vector precoding;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Signal Processing, 2008 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-2310-1
Electronic_ISBN
978-1-4244-2311-8
Type
conf
DOI
10.1109/ICNNSP.2008.4590356
Filename
4590356
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