DocumentCode :
2125776
Title :
Block diagonalization approach for amplify-and-forward relay systems in MIMO multi-user channels
Author :
Hwang, Jeongho ; Lee, Kyoung-Jae ; Sung, Hakjea ; Lee, Inkyu
Author_Institution :
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
fYear :
2009
fDate :
13-16 Sept. 2009
Firstpage :
3149
Lastpage :
3153
Abstract :
In this paper, we consider a relay system in multiple-input multiple-output (MIMO) multi-user channels where a single MIMO relay is engaged in communication between multiple source-destination terminal pairs. We propose two amplify-and-forward (AF) relaying schemes which maximize the sum-rate for the interference channel with multiple source-destinations. First, we introduce an iterative scheme which provides a local optimal solution. The proposed scheme iteratively searches an optimum relay matrix by deriving the gradient of the sum-rate and applying the gradient descent algorithm. Next, in order to reduce the computational complexity of the iterative scheme, we propose a block diagonalization (BD) method which utilizes the minimum mean-square error (MMSE) criterion with singular value decomposition (SVD) based rate maximization. Simulation results show that the proposed iterative scheme achieves a near-optimal sum-rate for the given channel model, and the MMSE based BD with the rate maximization approaches the local optimal sum-rate at high signal-to-noise ratio (SNR) regime.
Keywords :
MIMO communication; computational complexity; iterative methods; least mean squares methods; matrix algebra; optimisation; singular value decomposition; MIMO multiuser channels; MMSE; SVD; amplify-and-forward relay systems; block diagonalization approach; computational complexity; gradient descent algorithm; interference channel; iterative scheme; minimum mean-square error criterion; multiple source-destination terminal pairs; multiple-input multiple-output channels; optimum relay matrix; rate maximization; signal-to-noise regime; singular Block value decomposition; Computational complexity; Computational modeling; Interference channels; Iterative algorithms; Iterative methods; MIMO; Matrix decomposition; Relays; Signal to noise ratio; Singular value decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4244-5122-7
Electronic_ISBN :
978-1-4244-5123-4
Type :
conf
DOI :
10.1109/PIMRC.2009.5449809
Filename :
5449809
Link To Document :
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