Joint Optimization of Source and Relay for MIMO Two-Way Relay Networks Using MSE Duality

Choi, Won Chul; Choi, Seung Won; Heo, Ayoung; Park, Dong-Jo

doi:10.1109/lcomm.2014.2327624

Cited by 9 publications

(3 citation statements)

References 11 publications

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“…As noted, the relay matrix and user beamforming matrices should be optimised jointly at each iteration. The MMSE criterion provides sufficient compromise between interference suppression and noise reduction [20, 25–28]. The MSE was used in [22] to find the optimum relay and users beamforming matrices.…”

Section: Beamforming Matrix Designmentioning

confidence: 99%

Low complexity robust recursive beamforming for two‐way full duplex relay network

2020

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Section: Beamforming Matrix Designmentioning

confidence: 99%

Low complexity robust recursive beamforming for two‐way full duplex relay network

2020

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“…and α (t) −1 is a positive scaling factor. Note that ŷ(t) l is multiplied by the positive scaling factor α (t) −1 since the relay beamforming matrix F (t) is split into two components, as in [15], [19],…”

Section: Mmse Based Beamforming Designmentioning

confidence: 99%

Beamforming Design for Full-Duplex Two-Way Amplify-and-Forward MIMO Relay

Shim

Choi

Park

2016

IEEE Trans. Wireless Commun.

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We consider the full-duplex (FD) two-way amplify-and-forward relay system with imperfect cancelation of loopback self-interference (SI) and investigate joint design of relay and receive beamforming for minimizing the mean square error under a relay transmit power constraint. Due to loopback channel estimation error and limitation of analog-to-digital converter, the loopback SI cannot be completely canceled. Multiple antennas at the relay can help loopback SI suppression but beamforming is required to balance between the residual SI suppression and the desired signal transmission. Moreover, the relay beamforming matrix should be updated every time slot because the residual SI in the previous time slot is amplified by the current beamforming matrix and added to the received signals from the two sources in the current time slot. We derive the optimally balanced relay beamforming and receive beamforming matrices in closed form based on minimum mean square error, taking into account the propagation of the residual loopback SI from the first to the current time slot. We also propose beamforming design using only the channels of the m latest time slots, not from the first time slot. Based on our numerical results, we also identify when FD is beneficial and propose selection between FD and half-duplex according to signal-to-noise ratio and interference-to-noise ratio.

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“…However, the precoding scheme only considered the power constraints of the relay node without considering the power constraints of the transmitter. The paper [10] details the design of the combined precoding scheme for the two-way relay system, using the iterative method to optimize the combined precoding matrix. However, due to the time-varying wireless channel noise, the existence of the desired CSI is not realistic.…”

Section: Introductionmentioning

confidence: 99%

Linear Precoding Scheme Design for MIMO Two‐Way Relay Systems with Imperfect Channel State Information

Chen

Zhu

et al. 2017

Mathematical Problems in Engineering

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The aim of this paper is to investigate a linear precoding scheme design for a multiple-input multiple-output two-way relay system with imperfect channel state information. The scheme design is simplified as an optimal problem with precoding matrix variables, which is deduced with the maximum power constraint at the relay station based on the minimum mean square error criterion. With channel feedback delay at both ends of the channel and the channel estimation errors being taken into account, we propose a matrix decomposition scheme and a joint iterative scheme to minimize the average sum mean square error. The matrix decomposition method is used to derive the closed form of the relay matrix, and the joint iterative algorithm is used to optimize the precoding matrix and the processing matrix. According to numerical simulation results, the matrix decomposition scheme reduces the system bit error rate (BER) effectively and the joint iterative scheme achieves the best performance of BER against existing methods.

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Joint Optimization of Source and Relay for MIMO Two-Way Relay Networks Using MSE Duality

Cited by 9 publications

References 11 publications

Low complexity robust recursive beamforming for two‐way full duplex relay network

Low complexity robust recursive beamforming for two‐way full duplex relay network

Beamforming Design for Full-Duplex Two-Way Amplify-and-Forward MIMO Relay

Linear Precoding Scheme Design for MIMO Two‐Way Relay Systems with Imperfect Channel State Information

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