Joint source and relay design for MIMO multi-relay systems using projected gradient approach

In this paper, we develop the optimal source precoding matrix and relay amplifying matrices for non-regenerative multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes using the projected gradient (PG) approach. We show that the optimal relay amplifying matrices...

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Main Authors: Toding, A., Khandaker, M., Rong, Yue
Format: Journal Article
Published: Springer Open 2014
Subjects:
Online Access:http://purl.org/au-research/grants/arc/DP140102131
http://hdl.handle.net/20.500.11937/47845
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author Toding, A.
Khandaker, M.
Rong, Yue
author_facet Toding, A.
Khandaker, M.
Rong, Yue
author_sort Toding, A.
building Curtin Institutional Repository
collection Online Access
description In this paper, we develop the optimal source precoding matrix and relay amplifying matrices for non-regenerative multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes using the projected gradient (PG) approach. We show that the optimal relay amplifying matrices have a beamforming structure. Exploiting the structure of relay matrices, an iterative joint source and relay matrices optimization algorithm is developed to minimize the mean-squared error (MSE) of the signal waveform estimation at the destination using the PG approach. The performance of the proposed algorithm is demonstrated through numerical simulations.
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institution Curtin University Malaysia
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last_indexed 2025-11-14T09:36:10Z
publishDate 2014
publisher Springer Open
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spelling curtin-20.500.11937-478452022-10-12T03:16:20Z Joint source and relay design for MIMO multi-relay systems using projected gradient approach Toding, A. Khandaker, M. Rong, Yue beamforming parallel relay network projected gradient MIMO relay non-regenerative relay In this paper, we develop the optimal source precoding matrix and relay amplifying matrices for non-regenerative multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes using the projected gradient (PG) approach. We show that the optimal relay amplifying matrices have a beamforming structure. Exploiting the structure of relay matrices, an iterative joint source and relay matrices optimization algorithm is developed to minimize the mean-squared error (MSE) of the signal waveform estimation at the destination using the PG approach. The performance of the proposed algorithm is demonstrated through numerical simulations. 2014 Journal Article http://hdl.handle.net/20.500.11937/47845 10.1186/1687-1499-2014-151 http://purl.org/au-research/grants/arc/DP140102131 http://creativecommons.org/licenses/by/4.0/ Springer Open fulltext
spellingShingle beamforming
parallel relay network
projected gradient
MIMO relay
non-regenerative relay
Toding, A.
Khandaker, M.
Rong, Yue
Joint source and relay design for MIMO multi-relay systems using projected gradient approach
title Joint source and relay design for MIMO multi-relay systems using projected gradient approach
title_full Joint source and relay design for MIMO multi-relay systems using projected gradient approach
title_fullStr Joint source and relay design for MIMO multi-relay systems using projected gradient approach
title_full_unstemmed Joint source and relay design for MIMO multi-relay systems using projected gradient approach
title_short Joint source and relay design for MIMO multi-relay systems using projected gradient approach
title_sort joint source and relay design for mimo multi-relay systems using projected gradient approach
topic beamforming
parallel relay network
projected gradient
MIMO relay
non-regenerative relay
url http://purl.org/au-research/grants/arc/DP140102131
http://hdl.handle.net/20.500.11937/47845