A Unified Approach to Optimal Transceiver Design for Non-Regenerative MIMO Relaying

Zhao, Chao; Champagne, Benoı̂t

doi:10.1109/tvt.2014.2351802

Cited by 16 publications

(11 citation statements)

References 52 publications

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“…In this paper, we present new optimization methods for multiple-relay cooperative MIMO WSNs with P-CSI, i.e., knowledge of the instantaneous value of H H H and the statistical properties of G G G. Our design does not rely on F-CSI as in [7]- [13], [15]- [17], and needs the same amount of P-CSI exploited in [24]- [28], [31]. In this scenario, we consider a relaxed joint minimum-mean-square-error (MMSE) optimization of the source precoder F F F 0 , the AF relaying matrices in F F F, and the destination equalizer D D D, with a power constraint at the source [32] and a sum-power constraint at the relays [10].…”

Section: Volume XX 2020mentioning

confidence: 99%

“…It is noteworthy that P(H H H, G G G) is typically limited in those scenarios where a target performance has to be achieved and per-node fairness is not of concern [3], [7]. The constraint tr F F F H F F F ≤ P D in (13), which has been obtained by averaging a relaxed version of P(H H H, G G G) with respect to the probability distribution of G G G, fixes a limit on the total average power transmitted by the This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.…”

Section: The Proposed P-csi-based Designmentioning

confidence: 99%

“…. , N C }, by substituting (21) and (22) in (13), one obtains the scalar optimization problem with linear inequality constraints:…”

Section: B Design Based On the Svd Of The Individual First-hop Channmentioning

confidence: 99%

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Design of Cooperative MIMO Wireless Sensor Networks With Partial Channel State Information

2020

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Wireless sensor networks (WSNs) play a key role in automation and consumer electronics applications. This paper deals with joint design of the source precoder, relaying matrices, and destination equalizer in a multiple-relay amplify-and-forward (AF) cooperative multiple-input multiple-output (MIMO) WSN, when partial channel-state information (CSI) is available in the network. In particular, the considered approach assumes knowledge of instantaneous CSI of the first-hop channels and statistical CSI of the second-hop channels. In such a scenario, compared to the case when instantaneous CSI of both the first-and second-hop channels is exploited, existing network designs exhibit a significant performance degradation. Relying on a relaxed minimum-mean-square-error (MMSE) criterion, we show that strategies based on potential activation of all antennas belonging to all relays lead to mathematically intractable optimization problems. Therefore, we develop a new joint relay-and-antenna selection procedure, which determines the best subset of the available antennas possibly belonging to different relays. Monte Carlo simulations show that, compared to conventional relay selection strategies, the proposed design offers a significant performance gain, outperforming also other recently proposed relay/antenna selection schemes. INDEX TERMS Amplify-and-forward relays, multiple-input multiple-output (MIMO), partial channel state information, wireless sensor networks.

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Section: Volume XX 2020mentioning

confidence: 99%

Section: The Proposed P-csi-based Designmentioning

confidence: 99%

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Design of Cooperative MIMO Wireless Sensor Networks With Partial Channel State Information

2020

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“…A , and D. It is easy to recognize that (28) is a convex optimization problem [24,25]; translating the nonconvex problem of formula (28) into a convex optimization problem by Lagrange multiplier method, is the Lagrange multiplier, and the Lagrange function is constructed for…”

Section: Matrix Decomposition Algorithm Designmentioning

confidence: 99%

Linear Precoding Scheme Design for MIMO Two‐Way Relay Systems with Imperfect Channel State Information

Chen

Zhu

et al. 2017

Mathematical Problems in Engineering

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The aim of this paper is to investigate a linear precoding scheme design for a multiple-input multiple-output two-way relay system with imperfect channel state information. The scheme design is simplified as an optimal problem with precoding matrix variables, which is deduced with the maximum power constraint at the relay station based on the minimum mean square error criterion. With channel feedback delay at both ends of the channel and the channel estimation errors being taken into account, we propose a matrix decomposition scheme and a joint iterative scheme to minimize the average sum mean square error. The matrix decomposition method is used to derive the closed form of the relay matrix, and the joint iterative algorithm is used to optimize the precoding matrix and the processing matrix. According to numerical simulation results, the matrix decomposition scheme reduces the system bit error rate (BER) effectively and the joint iterative scheme achieves the best performance of BER against existing methods.

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“…The optimal transceiver based on minimum mean-square error (MMSE) criterion are investigated in [3]. Several joint LMMSE transceivers with perfect CSI have been investigated to improve the system BER performance further in [4]- [6]. However, all these works assume that channel state information (CSI) is perfectly known.…”

Section: Introductionmentioning

confidence: 99%

Robust Transceiver Design for MIMO System with Amplify-and-Forward Relay

Su¹,

Chen²,

Zhu³

et al. 2016

IJMO

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Abstract-In this paper, a robust transceiver design for dual-hop multiple-input multiple-output (MIMO) system with amplify-and-forward (AF) relay is produced in the presence of imperfect channel state information (CSI) . The antenna correlation at both ends of the channel and the channel estimation errors are taken into account. The optimization problem is formulated based on minimum mean-square error (MMSE) rule, and the original problem is decoupled into three convex sub-problems. Then the source precoding matrix is optimized by the interior-point method, the optimal relaying matrix is derived by lagrangian multiplier method. The equalizer is optimized by a gradient-based line search algorithm and an alternating algorithm is proposed for the joint design. Simulation results indicated that the proposed design approach achieves better robustness against antenna correlation and channel estimation errors than other approaches.Index Terms-MIMO relay system, amplify-and-forward, mean-square error (MMSE), antenna correlation, channel estimation errors.

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A Unified Approach to Optimal Transceiver Design for Non-Regenerative MIMO Relaying

Cited by 16 publications

References 52 publications

Design of Cooperative MIMO Wireless Sensor Networks With Partial Channel State Information

Design of Cooperative MIMO Wireless Sensor Networks With Partial Channel State Information

Linear Precoding Scheme Design for MIMO Two‐Way Relay Systems with Imperfect Channel State Information

Robust Transceiver Design for MIMO System with Amplify-and-Forward Relay

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