MMSE Based Transceiver Designs in Closed-Loop Non-Regenerative MIMO Relaying Systems

Song, Changick; Lee, Kyoung-Jae; Lee, Inkyu

doi:10.1109/twc.2010.07.091234

Cited by 99 publications

(68 citation statements)

References 29 publications

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“…Our schemes are also compared with the case of perfect CSI discussed in [2], which corresponds to setting all channel error terms to zero, that is, σ 2 E 0. We assume that the noise covariance σ e total signal-to-noise ratio (SNR 0 ) is de ned as P/σ 2 n r with P T P R P/2.…”

Section: Af Scheme Without Direct Linkmentioning

confidence: 99%

“…Based on extensive simulations (see Figures 2 and 3 of [2] and Figure 3 of [3]), although the proposed scheme employs high SNR approximation in its derivation, it exhibits very little loss in performance when compared with the optimal design over all SNR range thus con rming the optimality of the MSE decomposition method and providing lower complexity [3]. We also use the bit error rate (BER) criteria to minimize the BER for a certain MSE.…”

Section: Introductionmentioning

confidence: 99%

“…According to research, these benefits are realized when multiple-input multiple-output (MIMO) systems are utilized with relays [1,2]. Different relay protocols are available and can be classified based on their operation.…”

Section: Introductionmentioning

confidence: 99%

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Transceiver Designs for MIMO Relaying Systems with Imperfect Channel State Information

Antwi-Boasiako

Song

Lee

2018

Mobile Information Systems

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We focus on imperfect channel state information (ICSI) in closed-loop multiple-input multiple-output (MIMO) amplify-andforward (AF) relaying systems. First, near-optimal closed-form solutions for transceiver designs are provided for the source-torelay-to-destination link with ICSI at all nodes. Next, considering a nonnegligible direct link with ICSI available only at the relay and destination and no CSI or ICSI at the source, near-optimal designs are proposed. e Wiener or minimum mean square error (MMSE) filter is employed at the destination to estimate the transmitted signal. e effect of CSI mismatch on the performance of the proposed scheme is then shown through simulations.

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Section: Af Scheme Without Direct Linkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Transceiver Designs for MIMO Relaying Systems with Imperfect Channel State Information

Antwi-Boasiako

Song

Lee

2018

Mobile Information Systems

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“…To tackle this, we first devise an algorithm to optimize the source, relay, and receiver matrices alternatingly by decomposing the original non-convex problem into convex subproblems. To avoid the complexity of the iterative process, we then extend the error covariance matrix decomposition technique applied to pointto-point MIMO relay systems in [18] to interference MIMO relay systems in this paper. More specifically, under practically reasonable high first-hop signal-to-noise ratio (SNR) assumption, we demonstrate that the problem can be decomposed into two standard semidefinite programming (SDP) problems to optimize source and relay matrices separately.…”

Section: Introductionmentioning

confidence: 99%

Joint source and relay optimization for interference MIMO relay networks

Khandaker¹,

Wong²

2017

EURASIP J. Adv. Signal Process.

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This paper considers multiple-input multiple-output (MIMO) relay communication in multi-cellular (interference) systems in which MIMO source-destination pairs communicate simultaneously. It is assumed that due to severe attenuation and/or shadowing effects, communication links can be established only with the aid of a relay node. The aim is to minimize the maximal mean-square-error (MSE) among all the receiving nodes under constrained source and relay transmit powers. Both one-and two-way amplify-and-forward (AF) relaying mechanisms are considered. Since the exactly optimal solution for this practically appealing problem is intractable, we first propose optimizing the source, relay, and receiver matrices in an alternating fashion. Then we contrive a simplified semidefinite programming (SDP) solution based on the error covariance matrix decomposition technique, avoiding the high complexity of the iterative process. Numerical results reveal the effectiveness of the proposed schemes.

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“…Next generation communication system is known as fifth generation (5G) wireless networks and is required to produce higher data rates in the order of tens of giga bits per second(Gbit/s) [1][2][3][4][5] . To achieve this demand, multiple-input multiple-output (MIMO) methods and directional antenna techniques have been studied in the past [6][7][8][9][10][11][12] .…”

Section: ⅰ Introductionmentioning

confidence: 99%

3D Beamforming Techniques in Multi-Cell MISO Downlink Active Antenna Systems for Large Data Transmission

Kim¹

2015

The Journal of Korean Institute of Communications and Informati

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Key Words : Active antenna system, vertical beamforming, multiple-input single-output (MISO) downlink, random matrix, large system approximation ABSTRACTIn this paper, we provide a new approach which optimizes the vertical tilting angle of the base station for multi-cell multiple-input single-output (MISO) downlink active antenna systems (AAS). Instead of the conventional optimal algorithm which requires an exhaustive search, we propose simple and near optimal algorithms. First, we represent a large system approximation based vertical beamforming algorithm which is applied to the average sum rate by using the random matrix theory. Next, we suggest a signal-to-leakage-and-noise ratio (SLNR) based vertical beamforming algorithm which simplifies the optimization problem considerably. In the simulation results, we demonstrate that the performance of the proposed algorithms is near close to the exhaustive search algorithm with substantially reduced complexity.

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MMSE Based Transceiver Designs in Closed-Loop Non-Regenerative MIMO Relaying Systems

Cited by 99 publications

References 29 publications

Transceiver Designs for MIMO Relaying Systems with Imperfect Channel State Information

Transceiver Designs for MIMO Relaying Systems with Imperfect Channel State Information

Joint source and relay optimization for interference MIMO relay networks

3D Beamforming Techniques in Multi-Cell MISO Downlink Active Antenna Systems for Large Data Transmission

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