Robust Design for Amplify-and-Forward MIMO Relay Systems with Direct Link and Imperfect Channel Information

In this paper, we propose statistically robust design for multiple-input multiple-output (MIMO) relay systems with the direct source-destination link and imperfect channel state information (CSI). The minimum mean-squared error (MMSE) of the signal waveform estimation at the destination node is adop...

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Main Authors: He, Z., Jiang, W., Rong, Yue
Format: Journal Article
Published: IEEE 2014
Subjects:
Online Access:http://purl.org/au-research/grants/arc/DP140102131
http://hdl.handle.net/20.500.11937/16276
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author He, Z.
Jiang, W.
Rong, Yue
author_facet He, Z.
Jiang, W.
Rong, Yue
author_sort He, Z.
building Curtin Institutional Repository
collection Online Access
description In this paper, we propose statistically robust design for multiple-input multiple-output (MIMO) relay systems with the direct source-destination link and imperfect channel state information (CSI). The minimum mean-squared error (MMSE) of the signal waveform estimation at the destination node is adopted as the design criterion. We develop two iterative methods to solve the nonconvex joint source, relay, and receiver optimization problem. In particular, we derive the structure of the optimal relay precoding matrix and show the effect of CSI mismatch on the structure of the optimal robust source and relay matrices. The proposed algorithms generalize the transceiver design of MIMO relay systems with the direct link to the practical scenario of imperfect CSI knowledge. Simulation results demonstrate an improved performance of the proposed algorithms with respect to the conventional methods at various levels of CSI mismatch.
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institution Curtin University Malaysia
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publishDate 2014
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spelling curtin-20.500.11937-162762022-10-12T03:17:05Z Robust Design for Amplify-and-Forward MIMO Relay Systems with Direct Link and Imperfect Channel Information He, Z. Jiang, W. Rong, Yue robust MIMO relay direct link channel state information In this paper, we propose statistically robust design for multiple-input multiple-output (MIMO) relay systems with the direct source-destination link and imperfect channel state information (CSI). The minimum mean-squared error (MMSE) of the signal waveform estimation at the destination node is adopted as the design criterion. We develop two iterative methods to solve the nonconvex joint source, relay, and receiver optimization problem. In particular, we derive the structure of the optimal relay precoding matrix and show the effect of CSI mismatch on the structure of the optimal robust source and relay matrices. The proposed algorithms generalize the transceiver design of MIMO relay systems with the direct link to the practical scenario of imperfect CSI knowledge. Simulation results demonstrate an improved performance of the proposed algorithms with respect to the conventional methods at various levels of CSI mismatch. 2014 Journal Article http://hdl.handle.net/20.500.11937/16276 10.1109/TWC.2014.2347274 http://purl.org/au-research/grants/arc/DP140102131 IEEE fulltext
spellingShingle robust
MIMO relay
direct link
channel state information
He, Z.
Jiang, W.
Rong, Yue
Robust Design for Amplify-and-Forward MIMO Relay Systems with Direct Link and Imperfect Channel Information
title Robust Design for Amplify-and-Forward MIMO Relay Systems with Direct Link and Imperfect Channel Information
title_full Robust Design for Amplify-and-Forward MIMO Relay Systems with Direct Link and Imperfect Channel Information
title_fullStr Robust Design for Amplify-and-Forward MIMO Relay Systems with Direct Link and Imperfect Channel Information
title_full_unstemmed Robust Design for Amplify-and-Forward MIMO Relay Systems with Direct Link and Imperfect Channel Information
title_short Robust Design for Amplify-and-Forward MIMO Relay Systems with Direct Link and Imperfect Channel Information
title_sort robust design for amplify-and-forward mimo relay systems with direct link and imperfect channel information
topic robust
MIMO relay
direct link
channel state information
url http://purl.org/au-research/grants/arc/DP140102131
http://hdl.handle.net/20.500.11937/16276