Relay Precoding for Non-Regenerative MIMO Relay Systems with Partial CSI Feedback

Jeong, Cheol; Seo, Bangwon; Lee, Seong Ro; Kim, Hyung-Myung; Kim, Il-Min

doi:10.1109/twc.2012.030812.110227

Cited by 25 publications

(45 citation statements)

References 27 publications

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“…The statistically robust transceiver design for AF MIMO relaying has been examined in prior works such as [13]- [15], where the channel-diagonalizing structure is shown to be optimal, hence being consistent with the results under the perfect CSI assumption [4]- [8]. In light of these existing results, it is natural to ask whether similar conclusions also apply to AF MIMO relay systems subject to deterministic CSI uncertainties.…”

Section: Introductionsupporting

confidence: 52%

“…More importantly, we analytically characterize such a saddle point and provide a closed-form solution to (10). Our result implies that eigenmode transmission is the optimal transmit strategy in presence of deterministic CSI errors as in the cases of perfect CSI [4]- [8] and stochastic CSI [13]- [15].…”

Section: Worst-case MI Maximization For Af Mimo Relayingmentioning

confidence: 85%

“…We can achieve the lower bound in the above expression by selecting the worst-case CSI error ∆ w rd as indicated in (14) and letting the relay precoder beF opt r in (15). Therefore, we conclude that (∆ w rd ,F opt r ) is the optimal solution to the minimax problem (13) and its optimal value is (17 …”

Section: Appendix II Proof Of Propositionmentioning

confidence: 91%

“…For the AF MIMO relay system, we assume that the relay knows the perfect source-relay channel H sr and the destination knows perfectly the equivalent channels H and H rd F r , while the relay can only acquire imperfect information about the relay-destination channel H rd . Note that these assumptions have also been widely adopted in previous studies such as [15] [22] [25] [27].…”

Section: B Imperfect Csi Modelmentioning

confidence: 99%

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Robust Optimization for Amplify-and-Forward MIMO Relaying From a Worst-Case Perspective

Shen

Wang

Levy

et al. 2013

IEEE Trans. Signal Process.

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Abstract-In this paper, we consider robust optimization of amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay precoders in presence of deterministic imperfect channel state information (CSI), when the CSI uncertainty lies in a norm bounded region. Two widely used performance metrics, mutual information (MI) and mean square error (MSE), are adopted as design objectives. According to the philosophy of worst-case robustness, the robust optimization problems with respect to maximizing the worst-case MI and minimizing the worstcase MSE are formulated as maximin and minimax problems, respectively. Due to the fact that these two problems do not have a concave-convex or convex-concave structure, we cannot rely on the conventional saddle point theory to find the robust solutions. Nevertheless, by exploiting majorization theory, we show that the formulated maximin and minimax problems both admit saddle points. We further analytically characterize the saddle points, and provide closed-form solutions to robust relay precoder designs. Interestingly, we find that, under both MI and MSE metrics, the robust relay optimization leads to a channeldiagonalizing structure, meaning that eigenmode transmission is optimal from the worst-case robustness perspective. The proposed robust designs can improve the spectral efficiency and reliability of AF MIMO relaying against CSI uncertainties at the similar cost of computational complexity as the existing non-robust schemes.Index Terms-Multiple-input multiple-output (MIMO) cooperative transmission, mutual information (MI), mean square error (MSE), worst-case robust design, relay precoding, imperfect channel state information (CSI).

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Section: Introductionsupporting

confidence: 52%

Section: Worst-case MI Maximization For Af Mimo Relayingmentioning

confidence: 85%

Section: Appendix II Proof Of Propositionmentioning

confidence: 91%

Section: B Imperfect Csi Modelmentioning

confidence: 99%

See 2 more Smart Citations

Robust Optimization for Amplify-and-Forward MIMO Relaying From a Worst-Case Perspective

Shen

Wang

Levy

et al. 2013

IEEE Trans. Signal Process.

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“…Relays with amplify-and-forward relaying strategy amplify the received signal and transmit it towards the destination without any encoding or decoding processes, hence this relaying strategy is also known as non-regenerative relaying [13], [14]. However, the relays transmit the received signal with a different gain, and essentially act as analog repeaters, thereby increasing the system noise level [15].…”

Section: Amplify-and-forward Relayingmentioning

confidence: 99%

Outage probability of multi‐hop networks with amplify‐and‐forward full‐duplex relaying

Sureshbabu

Samavat²,

et al. 2018

IET Communications

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Full-duplex communication has attracted significant attention as it promises to increase the spectral efficiency compared to half-duplex. Multi-hop full-duplex networks add new dimensions and capabilities to cooperative networks by facilitating simultaneous transmission and reception and improving data rates.When a relay in a multi-hop full-duplex system amplifies and forwards its received signals, due to the presence of self-interference, the input-output relationship is determined by recursive equations. This thesis introduces a signal flow graph approach to solve the problem of finding the input-output relationship of a multi-hop amplify-and-forward full-duplex relaying system using Mason's gain formula. Even when all links have flat fading channels, the residual self-interference component due to imperfect self-interference cancellation at the relays results in an end-to-end effective channel that is an all-pole frequency-selective channel. Also, by assuming the relay channels undergo frequency-selective fading, the outage probability analysis is performed and the performance is compared with the case when the relay channels undergo frequency-flat fading. The outage performance of this system is performed assuming that the destination employs an equalizer or a matched filter.For the case of a two-hop (single relay) full-duplex amplify-and-forward relaying system, the bounds on the outage probability are derived by assuming that the destination employs a matched filter or a minimum mean squared error decision feedback equalizer. For the case of a three-hop (two-relay) system with frequency-flat relay channels, the outage probability analysis is performed by considering the output SNR of different types of equalizers and matched filter at the destination. Also, the closed-form upper bounds on the output SNR are derived when the destination employs a minimum mean squared error decision feedback equalizer which is used in outage probability analysis. It is seen that for sufficiently high target rates, fulli duplex relaying with equalizers is always better than half-duplex relaying in terms of achieving lower outage probability, despite the higher RSI. In contrast, since fullduplex relaying with MF is sensitive to RSI, it is outperformed by half-duplex relaying under strong RSI.ii ACKNOWLEDGMENTS I would like to express my gratitude to my supervisor, Dr. Cihan Tepedelenlioglu, for his support and supervision. His guidance and encouragement have been key in making this work a success.

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Performance analysis of LTE downlink system using relay-based selective transmission

Park

Jung

Chung

et al. 2013

Pers Ubiquit Comput

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Relay Precoding for Non-Regenerative MIMO Relay Systems with Partial CSI Feedback

Cited by 25 publications

References 27 publications

Robust Optimization for Amplify-and-Forward MIMO Relaying From a Worst-Case Perspective

Robust Optimization for Amplify-and-Forward MIMO Relaying From a Worst-Case Perspective

Outage probability of multi‐hop networks with amplify‐and‐forward full‐duplex relaying

Performance analysis of LTE downlink system using relay-based selective transmission

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