Robust Joint Design of Linear Relay Precoder and Destination Equalizer for Dual-Hop Amplify-and-Forward MIMO Relay Systems

This paper addresses the problem of robust linear relay precoder and destination equalizer design for a dual-hop amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay system, with Gaussian random channel uncertainties in both hops. By taking the channel uncertainties into account, two...

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Vydáno v:	IEEE transactions on signal processing Ročník 58; číslo 4; s. 2273 - 2283
Hlavní autoři:	Xing, Chengwen, Ma, Shaodan, Wu, Yik-Chung
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.04.2010 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithm design and analysis Algorithms Amplify-and-forward (AF) Applied sciences Channel estimation Channels Closed-form solution Covariance matrix Design engineering Detection, estimation, filtering, equalization, prediction Economic models Economic theory equalizer Equalizers Exact sciences and technology Exact solutions Information, signal and communications theory Iterative algorithms Mathematical analysis MIMO minimum mean-square-error (MMSE) Miscellaneous multiple-input multiple-output (MIMO) precoder relay Relay systems Relays Robustness Signal and communications theory Signal processing Signal, noise Studies Telecommunications and information theory Uncertainty Performance evaluation Parameter estimation Relay Amplify-and-forward (AF) Iterative method Equalizer Mean square error Relaxation Channel estimation Convergence rate MIMO system Estimation error minimum mean-square-error (MMSE) Gaussian channel precoder Output signal Covariance matrix multiple-input multiple-output (MIMO) Joint Algorithm Multihop network Relay channel Algorithm performance Simulation Optimal solution Signal processing
ISSN:	1053-587X, 1941-0476
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Shrnutí:	This paper addresses the problem of robust linear relay precoder and destination equalizer design for a dual-hop amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay system, with Gaussian random channel uncertainties in both hops. By taking the channel uncertainties into account, two robust design algorithms are proposed to minimize the mean-square error (MSE) of the output signal at the destination. One is an iterative algorithm with its convergence proved analytically. The other is an approximated closed-form solution with much lower complexity than the iterative algorithm. Although the closed-form solution involves a minor relaxation for the general case, when the column covariance matrix of the channel estimation error at the second hop is proportional to identity matrix, no relaxation is needed and the proposed closed-form solution is the optimal solution. Simulation results show that the proposed algorithms reduce the sensitivity of the AF MIMO relay systems to channel estimation errors, and perform better than the algorithm using estimated channels only. Furthermore, the closed-form solution provides a comparable performance to that of the iterative algorithm.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23
ISSN:	1053-587X 1941-0476
DOI:	10.1109/TSP.2009.2038961