Transceiver Optimization 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 amplifyingmatrices h...

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Main Authors: Toding, Apriana, Khandaker, Muhammad, Rong, Yue
Other Authors: Stephen Hanly
Format: Conference Paper
Published: IEEE 2014
Subjects:
Online Access:http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6979921v
http://hdl.handle.net/20.500.11937/23371
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author Toding, Apriana
Khandaker, Muhammad
Rong, Yue
author2 Stephen Hanly
author_facet Stephen Hanly
Toding, Apriana
Khandaker, Muhammad
Rong, Yue
author_sort Toding, Apriana
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 amplifyingmatrices 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.
first_indexed 2025-11-14T07:47:51Z
format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:47:51Z
publishDate 2014
publisher IEEE
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-233712017-01-30T12:36:56Z Transceiver Optimization for MIMO Multi-Relay Systems Using Projected Gradient Approach Toding, Apriana Khandaker, Muhammad Rong, Yue Stephen Hanly 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 amplifyingmatrices 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 Conference Paper http://hdl.handle.net/20.500.11937/23371 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6979921v IEEE fulltext
spellingShingle beamforming
parallel relay network
projected gradient
MIMO relay
non-regenerative relay
Toding, Apriana
Khandaker, Muhammad
Rong, Yue
Transceiver Optimization for MIMO Multi-Relay Systems Using Projected Gradient Approach
title Transceiver Optimization for MIMO Multi-Relay Systems Using Projected Gradient Approach
title_full Transceiver Optimization for MIMO Multi-Relay Systems Using Projected Gradient Approach
title_fullStr Transceiver Optimization for MIMO Multi-Relay Systems Using Projected Gradient Approach
title_full_unstemmed Transceiver Optimization for MIMO Multi-Relay Systems Using Projected Gradient Approach
title_short Transceiver Optimization for MIMO Multi-Relay Systems Using Projected Gradient Approach
title_sort transceiver optimization for mimo multi-relay systems using projected gradient approach
topic beamforming
parallel relay network
projected gradient
MIMO relay
non-regenerative relay
url http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6979921v
http://hdl.handle.net/20.500.11937/23371