Joint Source and Relay Optimization for Parallel MIMO Relays Using MMSE-DFE Receiver

In this paper, 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. In particular, a nonlinear decision feedback equalizer (DFE) is used at the destination node...

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Main Authors: Toding, Apriana, Khandaker, Muhammad, Rong, Yue
Other Authors: Adnan Al-Anbuky
Format: Conference Paper
Published: IEEE 2010
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/11289
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author Toding, Apriana
Khandaker, Muhammad
Rong, Yue
author2 Adnan Al-Anbuky
author_facet Adnan Al-Anbuky
Toding, Apriana
Khandaker, Muhammad
Rong, Yue
author_sort Toding, Apriana
building Curtin Institutional Repository
collection Online Access
description In this paper, 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. In particular, a nonlinear decision feedback equalizer (DFE) is used at the destination node, and the minimal mean-squared error (MMSE) criterion is used to detect the transmitted signal at each stream. We show that the optimal source precoding matrix and the optimal relay amplifying matrices have a beamforming structure. Using such optimal source and relay matrices and the MMSE-DFE receiver, a joint source and relay power loading algorithm is developed to minimize the MSE of the signal waveform estimation. Compared with existing algorithms for parallel MIMO relay networks, theproposed source and relay design together with the MMSE-DFE receiver has a significant improvement in the system bit-errorrate performance.
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institution Curtin University Malaysia
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publishDate 2010
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spelling curtin-20.500.11937-112892017-01-30T11:23:56Z Joint Source and Relay Optimization for Parallel MIMO Relays Using MMSE-DFE Receiver Toding, Apriana Khandaker, Muhammad Rong, Yue Adnan Al-Anbuky decision feedback equalizer (DFE) relay networks multiple-input multiple-output (MIMO) parallel relay minimum mean-squared error (MMSE) In this paper, 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. In particular, a nonlinear decision feedback equalizer (DFE) is used at the destination node, and the minimal mean-squared error (MMSE) criterion is used to detect the transmitted signal at each stream. We show that the optimal source precoding matrix and the optimal relay amplifying matrices have a beamforming structure. Using such optimal source and relay matrices and the MMSE-DFE receiver, a joint source and relay power loading algorithm is developed to minimize the MSE of the signal waveform estimation. Compared with existing algorithms for parallel MIMO relay networks, theproposed source and relay design together with the MMSE-DFE receiver has a significant improvement in the system bit-errorrate performance. 2010 Conference Paper http://hdl.handle.net/20.500.11937/11289 IEEE fulltext
spellingShingle decision feedback equalizer (DFE)
relay networks
multiple-input multiple-output (MIMO)
parallel relay
minimum mean-squared error (MMSE)
Toding, Apriana
Khandaker, Muhammad
Rong, Yue
Joint Source and Relay Optimization for Parallel MIMO Relays Using MMSE-DFE Receiver
title Joint Source and Relay Optimization for Parallel MIMO Relays Using MMSE-DFE Receiver
title_full Joint Source and Relay Optimization for Parallel MIMO Relays Using MMSE-DFE Receiver
title_fullStr Joint Source and Relay Optimization for Parallel MIMO Relays Using MMSE-DFE Receiver
title_full_unstemmed Joint Source and Relay Optimization for Parallel MIMO Relays Using MMSE-DFE Receiver
title_short Joint Source and Relay Optimization for Parallel MIMO Relays Using MMSE-DFE Receiver
title_sort joint source and relay optimization for parallel mimo relays using mmse-dfe receiver
topic decision feedback equalizer (DFE)
relay networks
multiple-input multiple-output (MIMO)
parallel relay
minimum mean-squared error (MMSE)
url http://hdl.handle.net/20.500.11937/11289