A Tutorial on the Optimization of Amplify-and-Forward MIMO Relay Systems

Sanguinetti, Luca; D’Amico, Antonio A.; Rong, Yue

doi:10.1109/jsac.2012.120904

Cited by 191 publications

(140 citation statements)

References 79 publications

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“…For the above results, it follows that the non-regenerative MIMO relay single user system becomes equivalent to a set of parallel single-input single-out (SISO) channels [8].…”

Section: Iterative Algorithmmentioning

confidence: 95%

Optimal Design for MIMO Relay System

Chen¹

2013

JSIP

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Recently, multiple-input multiple-output (MIMO) relay technique has been received great attention due to its prominent ability to provide broad coverage and enhance the link reliability and spectral efficiency. In this paper, an overview of optimal design for single user and multiuser non-regenerative MIMO relay systems is proposed. We explore some key designs of source node and destination node as well as relay node processing matrices using minimum mean square error (MMSE) criterion under the transmit power constraints. Simulation results compare different methods in terms of the MSE and bit error rate (BER) performance.

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“…For the above results, it follows that the non-regenerative MIMO relay single user system becomes equivalent to a set of parallel single-input single-out (SISO) channels [8].…”

Section: Iterative Algorithmmentioning

confidence: 95%

Optimal Design for MIMO Relay System

Chen¹

2013

JSIP

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“…Relay-aided multiple-input multiple-output (MIMO) communication technology has attracted great research interest recently [1,2]. By incorporating relay nodes in a MIMO system, the network coverage and reliability can be significantly improved.…”

Section: Introductionmentioning

confidence: 99%

“…For *Correspondence: khoa.x.nguyen@ieee.org Department of Electrical and Computer Engineering, Curtin University of Technology, Kent Street, Bentley, WA 6102, Australia a single-user two-hop MIMO relay system with multiple parallel relay nodes, the design of relay precoding matrices has been studied in [5]. Recent progress on the optimization of AF MIMO relay systems has been summarized in the tutorial of [2].…”

Section: Introductionmentioning

confidence: 99%

MMSE-based joint source and relay optimization for interference MIMO relay systems

Nguyen

Rong

Nordholm

2015

J Wireless Com Network

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In this paper, we investigate the transceiver design for amplify-and-forward (AF) interference multiple-input multiple-output (MIMO) relay communication systems when the direct links between the source and destination nodes are taken into consideration. The minimum mean-squared error (MMSE) of the signal waveform estimation at the destination nodes is chosen as the design criterion to optimize the source, relay, and receiver matrices for interference suppression. As the joint source, relay, and receiver optimization problem is nonconvex with matrix variables, a globally optimal solution is computationally intractable to obtain. We propose two iterative algorithms to provide computationally efficient solutions to the original problem through solving convex subproblems. These two algorithms provide efficient performance-complexity trade-off. Simulation results demonstrate that the proposed algorithms converge quickly after a few iterations and significantly outperform existing scheme in terms of the system bit error rate.

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“…al. not only summarized various kinds of optimization problems but also suggested several related solutions for each problem [20].…”

Section: Introductionmentioning

confidence: 99%

Joint optimization of source and relay precoding for AF MIMO relay systems

Jiang

Song

et al. 2015

J Wireless Com Network

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In this paper, we investigate a joint source and relay precoding design scheme for an amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay system with absence of the direct link. The joint optimization problem, which is to minimize an objective function based on the mean square error (MSE), is formulated as a nonconvex optimization problem in the AF MIMO relay system. Instead of the conventional iterative method, we use an inequality to derive a lower bound of the MSE under the power constraint for obtaining a suboptimal solution of the objective function, which makes the optimization problem convex and also approaches the existing upper bound of the MSE, especially at the high signal-to-noise ratio (SNR). Numerical results show that this scheme outperforms the previous schemes in terms of either MSE or bit error rate (BER).

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A Tutorial on the Optimization of Amplify-and-Forward MIMO Relay Systems

Cited by 191 publications

References 79 publications

Optimal Design for MIMO Relay System

Optimal Design for MIMO Relay System

MMSE-based joint source and relay optimization for interference MIMO relay systems

Joint optimization of source and relay precoding for AF MIMO relay systems

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