Iterative transceiver design for MIMO AF relay networks with multiple sources

Ma, Shaodan; Xing, Chengwen; Fan, Yalin; Wu, Yik-Chung; Ng, Tung-Sang; Poor, H. Vincent

doi:10.1109/milcom.2010.5680339

Cited by 24 publications

(36 citation statements)

References 16 publications

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“…As per (18) [diag(b1, · · · , bN D ), 0] T ∈ C N D ×N S . The weighted sum MSE in (16) is now reduced to…”

Section: Optimal Design Of the Precoder B For Fixed Equalizer Qmentioning

confidence: 99%

“…These procedures are summarized in Algorithm 1. Algorithm 1 is different from a conventional iterative approach widely used to solve similar problems [6,7,16]. The latter needs to iterate through all three matrices B, F and Q: if F and Q are fixed, B is updated as the optimal precoder for the equivalent multipleinput multiple-output (MIMO) channel [15]; if B and Q are held constant, F is optimized according to (11); if B and F are preserved, each diagonal entry of Q is the optimal MMSE receiver for the scalar channel of the corresponding user.…”

Section: Joint Designmentioning

confidence: 99%

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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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“…As per (18) [diag(b1, · · · , bN D ), 0] T ∈ C N D ×N S . The weighted sum MSE in (16) is now reduced to…”

Section: Optimal Design Of the Precoder B For Fixed Equalizer Qmentioning

confidence: 99%

Section: Joint Designmentioning

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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“…Linear beamforming design problem can be formulated as an optimization problem minimizing the sum MSE of multiple detected data streams. MSE minimization problem in AF MIMO relaying systems has been investigated in [11]. However, the algorithm proposed in [11] is a brute force algorithm with high complexity.…”

Section: Introductionmentioning

confidence: 99%

“…MSE minimization problem in AF MIMO relaying systems has been investigated in [11]. However, the algorithm proposed in [11] is a brute force algorithm with high complexity. In this paper, a novel algorithm exploiting the hidden convexity of the problem is proposed.…”

Section: Introductionmentioning

confidence: 99%

Uplink LMMSE Beamforming Design for Cellular Networks with AF MIMO Relaying

Xing

Xia²,

Ma³

et al. 2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

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In this paper, linear beamforming design for uplink amplify-and-forward relaying cellular networks, in which multiple mobile terminals rely on one relay station to communicate with the base station, is investigated. In particular, the base station, relay station and mobile terminals are all equipped with multiple antennas. Based on linear minimum mean-square-error (LMMSE) criterion and exploiting a hidden convexity in the problem, the precoder matrices at multiple mobile terminals, forwarding matrix at relay station and equalizer matrix at base station are jointly designed. Furthermore, several existing linear beamforming designs for multi-user (MU) MIMO systems and AF MIMO relaying systems can be considered as special cases of the proposed solution. Simulation results are presented to demonstrate the performance advantage of the proposed algorithm.

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“…VII-A, different initial points almost lead to the same performance. Algorithm 2 is different from a conventional alternating approach widely used to solve similar problems [19], [20], [27], [50]. The latter needs to alternate between all three matrices B, F and Q.…”

mentioning

confidence: 99%

A Unified Approach to Optimal Transceiver Design for Non-Regenerative MIMO Relaying

Zhao

Champagne

2014

IEEE Trans. Veh. Technol.

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We propose a unified approach to transceiver optimization for non-regenerative MIMO relay networks. This approach leads to new transceiver designs and reduces algorithmic complexity with adaptive implementations. First, we formulate a generic system model which accommodates various network topologies by imposing structural contraints on the source precoder, the relaying matrix and the destination equalizer. Based on the minimum mean square error (MMSE) criterion, we derive the optimal relaying matrix as a function of the other two matrices, thereby freeing the optimization problem from this matrix and its associated power constraint without any loss of optimality. Subsequently, we study how to optimize either the precoder or the equalizer under different structural constraints, and propose an alternating algorithm for the joint design. When optimizing the equalizer, the optimum from the previous transmission block is chosen as the initial search point to speed up convergence and hence to reduce computational complexity. The proposed framework is further explained and validated numerically within the context of different system configurations.

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Iterative transceiver design for MIMO AF relay networks with multiple sources

Cited by 24 publications

References 16 publications

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

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

Uplink LMMSE Beamforming Design for Cellular Networks with AF MIMO Relaying

A Unified Approach to Optimal Transceiver Design for Non-Regenerative MIMO Relaying

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