Joint Source and Relay Optimization for Parallel MIMO Relay Networks

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...

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Main Authors: Toding, Apriana, Khandaker, Muhammad, Rong, Yue
Format: Journal Article
Published: SpringerOpen 2012
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/17872
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author Toding, Apriana
Khandaker, Muhammad
Rong, Yue
author_facet Toding, Apriana
Khandaker, Muhammad
Rong, Yue
author_sort Toding, Apriana
building Curtin Institutional Repository
collection Online Access
description 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.
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spelling curtin-20.500.11937-178722017-09-13T15:43:06Z Joint Source and Relay Optimization for Parallel MIMO Relay Networks Toding, Apriana Khandaker, Muhammad Rong, Yue DFE Parallel relay network MIMO relay Beamforming Non-regenerative relay 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. 2012 Journal Article http://hdl.handle.net/20.500.11937/17872 10.1186/1687-6180-2012-174 SpringerOpen fulltext
spellingShingle DFE
Parallel relay network
MIMO relay
Beamforming
Non-regenerative relay
Toding, Apriana
Khandaker, Muhammad
Rong, Yue
Joint Source and Relay Optimization for Parallel MIMO Relay Networks
title Joint Source and Relay Optimization for Parallel MIMO Relay Networks
title_full Joint Source and Relay Optimization for Parallel MIMO Relay Networks
title_fullStr Joint Source and Relay Optimization for Parallel MIMO Relay Networks
title_full_unstemmed Joint Source and Relay Optimization for Parallel MIMO Relay Networks
title_short Joint Source and Relay Optimization for Parallel MIMO Relay Networks
title_sort joint source and relay optimization for parallel mimo relay networks
topic DFE
Parallel relay network
MIMO relay
Beamforming
Non-regenerative relay
url http://hdl.handle.net/20.500.11937/17872