Robust Linear Beamforming for MIMO Relay Broadcast Channel With Limited Feedback

Zhang, Bin; He, Zhiqiang; Niu, Kai; Zhang, Li

doi:10.1109/lsp.2009.2036877

Cited by 44 publications

(42 citation statements)

References 13 publications

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“…where V. SIMULATIONS In this section, we evaluate the performance of the proposed joint interference suppression and power allocation algorithms and compare them with the existing multiuser multiantenna relaying techniques in [9], [10], in presence of perfect channel knowledge. We adopt a simulation approach and conduct several experiments in order to verify the effectiveness of the proposed techniques.…”

Section: The Proposed Joint Algorithm For Multiuser Mimo Systemsmentioning

confidence: 99%

“…In the simulation, the proposed iterative algorithm for the case of multiuser MISO relay systems with perfect CSI is Firstly, The proposed iterative algorithm (joint) is compared with the existing techniques in [9] (conventional 1) and [10] (conventional 2). Fig.…”

Section: A the Proposed Algorithm For Multiuser Miso Relay Systemsmentioning

confidence: 99%

“…The joint design of the relay beamforming matrix and destination receiver for the single user case was proposed in [8]. [9] and [10] respectively proposed a cooperative MMSE relay strategy and a robust linear relay beamforming technique based on the quantized CSI. Then, [11] discussed the weighted sumpower consumption minimization problem under the qualityof-service constraints.…”

Section: Introductionmentioning

confidence: 99%

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Joint interference suppression and power allocation techniques for multiuser multiantenna relay broadcast systems

Ruyet

Roviras

2010

2010 7th International Symposium on Wireless Communication Systems

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In this work, we study the downlink of multiuser multiantenna systems which employ one multiple-input multipleoutput (MIMO) relay and the amplify-and-forward (AF) relay strategy. We propose joint constrained optimization frameworks that consider the allocation of power levels between the base station (BS) and the relay station (RS) subject to a total power constraint and the joint design of BS precoders, relay beamformers and mobile station (MS) receivers. In terms of the perfect channel state information (CSI), we derive constrained minimum mean square error (MMSE) expressions for the BS precoding and RS beamforming matrices that determine the optimal power levels across the BS and the RS, and the MS receiver matrices. Simulation results show that the performance of the proposed techniques is significantly better than prior art in terms of perfect CSI.

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Section: The Proposed Joint Algorithm For Multiuser Mimo Systemsmentioning

confidence: 99%

Section: A the Proposed Algorithm For Multiuser Miso Relay Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Joint interference suppression and power allocation techniques for multiuser multiantenna relay broadcast systems

Ruyet

Roviras

2010

2010 7th International Symposium on Wireless Communication Systems

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“…This is because the mobile users are not collocated and hence cannot jointly process their received signals. In general, the problems of transceiver design for relay-assisted BC fall into two categories: minimizing the weighted sum power of the base station (BS) and the relay subject to quality of service (QoS) constraints [4], or optimizing a selected performance criterion such as the sum rate or mean square error (MSE) subject to power constraints [5][6][7][8][9][10][11]. The maximum sum-rate design was studied in [5] with special structures, such as zero forcing (ZF), dirty paper coding (DPC) and QR transceiver, and in [8] using quadratic programming.…”

Section: Introduction and Relation To Prior Workmentioning

confidence: 99%

Linear transceiver design for relay-assisted broadcast systems with diagonal scaling

Zhao

Champagne

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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In this paper, we study the linear transceiver design for the downlink of a cellular network assisted by a multi-antenna relay. A diagonal scaling scheme is proposed in which multiple single-antenna users apply different complex-valued scaling to their signals before decoding, as represented by an equivalent diagonal equalizer matrix. This equalizer is designed together with a linear precoder at the base station (BS) and a linear processing matrix at the relay. The objective is to minimize the weighted minimum mean square error (MMSE) between the precoder input and the equalizer output, subject to power constraints at the BS and the relay. In particular, the optimal relaying matrix is first derived in closed form as a function of the precoder and the equalizer. The latter two can then be jointly designed in an efficient iterative manner. Simulation results demonstrate lower biterror rates (BERs) than previous design methods.

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“…The CSI is assumed to be norm bounded, and it is shown that the robust solution is a Semidefinite Programming (SDP) problem. Zero forcing and Minimum Mean Square Error (MMSE) based beamforming for relay assisted downlink transmission is considered in [8]. In [9] the problem of beamforming for a Multiple Input Multiple Output (MIMO) relay channel is studied.…”

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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Robust Linear Beamforming for MIMO Relay Broadcast Channel With Limited Feedback

Cited by 44 publications

References 13 publications

Joint interference suppression and power allocation techniques for multiuser multiantenna relay broadcast systems

Joint interference suppression and power allocation techniques for multiuser multiantenna relay broadcast systems

Linear transceiver design for relay-assisted broadcast systems with diagonal scaling

Robust joint optimization of nonregenerative MIMO relay channels with imperfect CSI

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