MMSE-SIC Transceiver Design in Amplify-and-Forward MIMO Relay Systems

Tseng, Fan-Shuo; Wu, Wen-Rong

doi:10.1109/vetecs.2010.5493694

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…Recently [6]- [10], the precoding matrix was proposed to minimize the receiver estimation error which is known as meansquared error (MSE) of the signal at the destination node. The optimal precoding matrix design was investigated well in [9]- [11] for AF MIMO relay system with the assumption that the relay knows the full channel state information (CSI) of the source-relay, source-destination and relay-destination links.…”

Section: Introductionmentioning

confidence: 99%

Channel covariance information based transceiver design for AF MIMO relay systems with direct link

Gopal

Rong

Zang

2012

2012 18th Asia-Pacific Conference on Communications (APCC)

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Abstract-In this paper, we propose a design scheme for amplify-and-forward multiple-input multiple-output (AF MIMO) relay system with direct link to minimize the mean-squared error (MSE) of the signal estimation at the destination. In the proposed design scheme, an optimal precoding matrix is derived with the assumption that the full channel state information (CSI) of the source-relay link and partial channel state information such as channel covariance information (CCI) of the relay-destination link are available at the relay. In practical cases, if the destination is closer to the source, the source-destination link cannot be ignored. Hence, in this paper, we assume that the relay knows the partial channel state information of the source-destination link. Based on this assumption, an iterative optimal covariance algorithm is developed to achieve the minimum MSE of the signal estimation at the destination. In order to reduce computational complexity of the proposed optimal covariance algorithm, a suboptimal covariance algorithm is proposed. A numerical example shows that the developed optimal covariance algorithm outperforms the conventional CCI based MSE algorithms.

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Section: Introductionmentioning

confidence: 99%

Channel covariance information based transceiver design for AF MIMO relay systems with direct link

Gopal

Rong

Zang

2012

2012 18th Asia-Pacific Conference on Communications (APCC)

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“…In [8] and [9], tighter bounds on the capacity have been obtained and the gap between the achievable rate and the capacity has been quantified in [10] for the MIMO case. As far as precoding and power allocation for relay networks are concerned, numerous schemes have been proposed in the literature [11]- [14]. For instance, optimal power allocation methods under total power constraint at the relay have been proposed in [11] and [12].…”

Section: Introductionmentioning

confidence: 99%

“…As far as precoding and power allocation for relay networks are concerned, numerous schemes have been proposed in the literature [11]- [14]. For instance, optimal power allocation methods under total power constraint at the relay have been proposed in [11] and [12]. Whereas, joint source and relay precoder designs with different optimization criteria have been proposed in [13] and [14] by assuming that channel state information (CSI) of both channels is available at the source node.…”

Section: Introductionmentioning

confidence: 99%

Codebook-Based Precoding and Power Allocation for Nonregenerative Dual Hop Relay Systems

Padidar

Héliot

Hoshyar

2011

2011 IEEE 73rd Vehicular Technology Conference (VTC Spring)

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Abstract-In this paper, we consider the precoding problem in the nonregenerative dual hop multi-input multi-output (MIMO) relay system. We propose a joint beamforming and power allocation method for a limited feedback system where a codebookbased beamformer is considered for each hop. The destination node selects the optimal beamforming codeword by relying on full channel knowledge of both source-relay and relay-destination channels for each hop from the code book and also compute the optimal power allocation coefficients for each substream. The index of the codewords and a quantized version of the power allocation coefficients are conveyed back to the source and relay nodes. The source and relay use the selected beamforming matrices and power allocation values to precode the data stream. In order to demonstrate the effectiveness of the proposed method, the performance of our joint beamforming and power allocation method is compared with previous codebook-based algorithms.

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Transmit Diversity and Relay Selection Algorithms for Multirelay Cooperative MIMO Systems

Clarke

Lamare

2012

IEEE Trans. Veh. Technol.

135

130

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MMSE-SIC Transceiver Design in Amplify-and-Forward MIMO Relay Systems

Cited by 3 publications

References 7 publications

Channel covariance information based transceiver design for AF MIMO relay systems with direct link

Channel covariance information based transceiver design for AF MIMO relay systems with direct link

Codebook-Based Precoding and Power Allocation for Nonregenerative Dual Hop Relay Systems

Transmit Diversity and Relay Selection Algorithms for Multirelay Cooperative MIMO Systems

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