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Joint Source and Relay Optimization for Parallel MIMO Relay Networks

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Open access
Authors
Toding, Apriana
Khandaker, Muhammad
Rong, Yue
Date
2012
Type
Journal Article

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Toding, Apriana and Khandaker, Muhammad R. A. and Rong, Yue. 2012. Joint Source and Relay Optimization for Parallel MIMO Relay Networks. EURASIP Journal on Advances in Signal Processing. 2012: 174.
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EURASIP Journal on Advances in Signal Processing
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The final publication is available at http://www.springerlink.com

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract

In this article, we study the optimal structure of the source precoding matrix and the relay amplifying matrices for multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes. Two types of receivers are considered at the destination node: (1) The linear minimal mean-squared error (MMSE) receiver; (2) The nonlinear decision feedback equalizer based on the minimal MSE criterion. We show that for both receiver schemes, the optimal source precoding matrix and the optimal relay amplifying matrices have a beamforming structure. Using such optimal structure, joint source and relay power loading algorithms are developed to minimize the MSE of the signal waveform estimation at the destination. Compared with existing algorithms for parallel MIMO relay networks, the proposed joint source and relay beamforming algorithms have significant improvement in the system bit-error-rate performance.