Robust General Rank Precoding Design for Amplify-and-Forward Relay Network

Ponukumati, Dhananjaya; Gao, Feifei; Fan, Lisheng

doi:10.1109/glocom.2010.5683420

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…In contrast to the rich results in robust designs for typical AF relaying [16], [17] or downlink CoMP [12], few literatures discuss CoMP relaying [18] or CoMP AF relaying [19]. To the best of our knowledge, robust BFers for CoMP AF relaying have not been studied before in the proposed context.…”

mentioning

confidence: 84%

Robust Linear Beamformer Designs for Coordinated Multi-Point AF Relaying in Downlink Multi-Cell Networks

Kuo¹,

Tseng

2012

IEEE Trans. Wireless Commun.

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mentioning

confidence: 84%

Robust Linear Beamformer Designs for Coordinated Multi-Point AF Relaying in Downlink Multi-Cell Networks

Kuo¹,

Tseng

2012

IEEE Trans. Wireless Commun.

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“…In this paper it is assumed that the CSI is impaired by Gaussian noise and an average performance measure optimization solution based on the quadratic matrix programming is proposed. Finally [11] extends the general rank precoding design to the case with uncertain CSI.…”

Section: Introductionmentioning

confidence: 99%

“…The problem of robust beamforming is considered in [7]- [11]. In [7], the problem of robust beamforming is solved for single antenna transmit and receive stations with multiple single antenna relay nodes.…”

Section: Introductionmentioning

confidence: 99%

Robust joint optimization of nonregenerative MIMO relay channels with imperfect CSI

Gharavol

Larsson

2011

2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)

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Abstract-In this paper, we deal with the problem of joint optimization of the source precoder, the relay beamformer and the destination equalizer in a nonregenerative relay network with only a partial knowledge of the Channel State Information (CSI). We model the partial CSI using a deterministic norm bounded error model, and we use a system-wide mean square error performance measure which is constrained based on the transmit power regulations for both source and relay nodes. Most conventional designs employ the average performance optimization, however, we solve this problem from a worst-case design perspective. The original problem formulation is a semi-infinite trilinear optimization problem which is not convex. To solve this problem we extend the existing theories to deal with the constraints which are semi-infinite in different independent complex matrix variables. We show that the equivalent approximate problem is a set of linear matrix inequalities, that can be solved iteratively. Finally simulation results assess the performance of the proposed scheme.

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A Worst-Case Robust MMSE Transceiver Design for Nonregenerative MIMO Relaying

Shen

Wang

et al. 2014

IEEE Trans. Wireless Commun.

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Transceiver designs have been a key issue in guaranteeing the performance of multiple-input multiple-output (MIMO) relay systems, which are, however, often subject to imperfect channel state information (CSI). In this paper, we aim to design a robust MIMO transceiver for nonregenerative MIMO relay systems against imperfect CSI from a worstcase robust perspective. Specifically, we formulate the robust transceiver design, under the minimum mean-squared error (MMSE) criterion, as a minimax problem. Then, by decomposing the minimax problem into two subproblems with respect to the relay precoder and destination equalizer, respectively, we show that the optimal solution to each subproblem has a favorable channel-diagonalizing structure under some mild conditions. Based on this finding, we transform the two complex-matrix subproblems into their equivalent scalar forms, both of which are proven to be convex and can be efficiently solved by our proposed methods. We further propose an alternating algorithm to jointly optimize the precoder and equalizer that only requires scalar operations. Finally, the effectiveness of the proposed robust design is verified by simulation results. Index Terms-Multiple-input multiple-output (MIMO) relay systems, minimum mean-squared error (MMSE), worst-case transceiver design, imperfect channel state information (CSI).

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Robust General Rank Precoding Design for Amplify-and-Forward Relay Network

Cited by 4 publications

References 16 publications

Robust Linear Beamformer Designs for Coordinated Multi-Point AF Relaying in Downlink Multi-Cell Networks

Robust Linear Beamformer Designs for Coordinated Multi-Point AF Relaying in Downlink Multi-Cell Networks

Robust joint optimization of nonregenerative MIMO relay channels with imperfect CSI

A Worst-Case Robust MMSE Transceiver Design for Nonregenerative MIMO Relaying

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