MMSE based transceiver design for MIMO relay systems with mean and covariance feedback

In this paper, the problem of transceiver design in a non-regenerative MIMO relay system is addressed, where linear signal processing is applied at the source, relay and destination to minimize the mean-squared error (MSE) of the signal waveform estimation at the destination. In the proposed design...

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Main Authors: Gopal, Lenin, Rong, Yue, Zang, Zhuquan
Other Authors: Peter Rost
Format: Conference Paper
Published: IEEE 2013
Online Access:http://hdl.handle.net/20.500.11937/29705
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author Gopal, Lenin
Rong, Yue
Zang, Zhuquan
author2 Peter Rost
author_facet Peter Rost
Gopal, Lenin
Rong, Yue
Zang, Zhuquan
author_sort Gopal, Lenin
building Curtin Institutional Repository
collection Online Access
description In this paper, the problem of transceiver design in a non-regenerative MIMO relay system is addressed, where linear signal processing is applied at the source, relay and destination to minimize the mean-squared error (MSE) of the signal waveform estimation at the destination. In the proposed design scheme, optimal structure of the source and relay precoding matrices are obtained with the assumption that the relay knows the mean and channel covariance information (CCI) of the relay-destination link and the full channel state information (CSI) of the source relay link. Based on this assumption, an iterative joint source and relay precoder design is proposed to achieve the minimum MSE of the signal estimation at the destination. In order to reduce computational complexity of the proposed iterative design, a suboptimal relay-only precoder design is proposed. A numerical example shows that the performance of the proposed iterative joint source and relay precoder design is very close to that of the algorithm using full CSI.
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T08:15:35Z
publishDate 2013
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spelling curtin-20.500.11937-297052017-09-13T15:26:01Z MMSE based transceiver design for MIMO relay systems with mean and covariance feedback Gopal, Lenin Rong, Yue Zang, Zhuquan Peter Rost In this paper, the problem of transceiver design in a non-regenerative MIMO relay system is addressed, where linear signal processing is applied at the source, relay and destination to minimize the mean-squared error (MSE) of the signal waveform estimation at the destination. In the proposed design scheme, optimal structure of the source and relay precoding matrices are obtained with the assumption that the relay knows the mean and channel covariance information (CCI) of the relay-destination link and the full channel state information (CSI) of the source relay link. Based on this assumption, an iterative joint source and relay precoder design is proposed to achieve the minimum MSE of the signal estimation at the destination. In order to reduce computational complexity of the proposed iterative design, a suboptimal relay-only precoder design is proposed. A numerical example shows that the performance of the proposed iterative joint source and relay precoder design is very close to that of the algorithm using full CSI. 2013 Conference Paper http://hdl.handle.net/20.500.11937/29705 10.1109/VTCSpring.2013.6692635 IEEE fulltext
spellingShingle Gopal, Lenin
Rong, Yue
Zang, Zhuquan
MMSE based transceiver design for MIMO relay systems with mean and covariance feedback
title MMSE based transceiver design for MIMO relay systems with mean and covariance feedback
title_full MMSE based transceiver design for MIMO relay systems with mean and covariance feedback
title_fullStr MMSE based transceiver design for MIMO relay systems with mean and covariance feedback
title_full_unstemmed MMSE based transceiver design for MIMO relay systems with mean and covariance feedback
title_short MMSE based transceiver design for MIMO relay systems with mean and covariance feedback
title_sort mmse based transceiver design for mimo relay systems with mean and covariance feedback
url http://hdl.handle.net/20.500.11937/29705