Rate Balancing for Multiuser MIMO Systems

Ghamnia, Imene; Slock, Dirk; Yuan-Wu, Yi

doi:10.1109/spawc.2019.8815455

Cited by 9 publications

(26 citation statements)

References 16 publications

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“…We propose a new matrix factorization method to design the RF precoder and RF combiners for hybrid processing in MU-MIMO systems. Firstly, the fully digital precoder and combiners are obtained by employing the MMSE-based rate balancing technique in [43] that iteratively updates the precoder and combiners using the MSE duality between downlink and uplink. Then, the RF precoder (or combiner) for hybrid processing is determined by factorizing the fully digital precoder (or combiner) in the least squares (LS) sense.…”

Section: A Matrix Factorization For Designing Rf Precoder and Combinersmentioning

confidence: 99%

“…From the effective channels for multiple users, we derive a new algorithm to design the baseband precoder F B and baseband combiners {W B,k } based on the MMSE-based rate balancing criterion. The proposed algorithm exploits the user-wise MSE balancing strategy derived from the MSE duality in [42] and the rate balancing scheme derived from the weighted MSE (WMSE) optimization in [43]. When fully digital precoders and combiners are designed in the MMSE sense via an iterative algorithm, the Frobenius norm of the precoder remains constant during iterations due to the transmit power constraint [43].…”

Section: B Downlink and Uplink Equivalent Channels For Mse Dualitymentioning

confidence: 99%

“…The proposed algorithm exploits the user-wise MSE balancing strategy derived from the MSE duality in [42] and the rate balancing scheme derived from the weighted MSE (WMSE) optimization in [43]. When fully digital precoders and combiners are designed in the MMSE sense via an iterative algorithm, the Frobenius norm of the precoder remains constant during iterations due to the transmit power constraint [43]. In contrast, when hybrid processing is used, the Frobenius norm of the baseband precoder, i.e.…”

Section: B Downlink and Uplink Equivalent Channels For Mse Dualitymentioning

confidence: 99%

“…In the downlink of fully digital MU-MIMO systems, the precoder for maximizing the achievable sum rate can be designed under total power or per-antenna power constraints using BD of multiuser channels [35]- [37], regularized channel diagonalization [38], [39], generalized channel inversion [40], and weighted MMSE [41]. On the other hand, the rate balancing precoding method has been studied under the MMSE criterion to ensure the rate fairness among users in the downlink MU-MIMO channels [42], [43]. The rate balancing approach was also employed to the design of hybrid precoders and combiners for the mmWave MU-MIMO system based on zero-forcing (ZF) [44].…”

mentioning

confidence: 99%

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Hybrid Precoding and Combining Strategy for MMSE-Based Rate Balancing in mmWave Multiuser MIMO Systems

Park

Choi

2022

IEEE Access

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In this paper, a new hybrid precoding and combining method is proposed for the downlink of multiuser multiple-input multiple-output (MU-MIMO) millimeter wave (mmWave) channels. The proposed method designs the precoders and combiners for radio frequency (RF) and baseband processing, respectively, based on the minimum mean square error (MMSE) criterion and the rate fairness among users. To design the RF precoder and combiners implemented by phase shifters, a new matrix factorization algorithm is devised by combining the gradient method with the projection to the nearest unitary matrix. Under the total transmit power constraint, the proposed factorization method increases the achievable rate by making the columns of the RF precoder near-orthogonal and growing the Frobenius norm of the baseband precoder. In addition, a new MMSE-based rate balancing algorithm is proposed to design the baseband precoder and combiners in terms of maximizing the minimum user rate. The proposed rate balancing scheme iteratively updates the baseband precoder, the transmit power constraint for the baseband precoder, the baseband combiners, and the weighting vector for rate balancing. Through theoretical analysis, it is shown that the proposed design method has a polynomial complexity order. Numerical simulations present that the proposed matrix factorization method outperforms existing schemes requiring low computational complexity and the proposed rate balancing scheme converges to a stationary point satisfying the total transmit power constraint. Moreover, simulation results in MU-MIMO channels are provided to show that the proposed design scheme performs better than existing hybrid processing schemes while achieving the minimum user rate close to the upper bound of MMSE processing.

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Section: A Matrix Factorization For Designing Rf Precoder and Combinersmentioning

confidence: 99%

Section: B Downlink and Uplink Equivalent Channels For Mse Dualitymentioning

confidence: 99%

Section: B Downlink and Uplink Equivalent Channels For Mse Dualitymentioning

confidence: 99%

mentioning

confidence: 99%

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Hybrid Precoding and Combining Strategy for MMSE-Based Rate Balancing in mmWave Multiuser MIMO Systems

Park

Choi

2022

IEEE Access

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“…When the fully digital precoding is used in the downlink of multiuser MIMO (MU-MIMO) systems, the precoding matrix can be designed based on two criteria -one is to maximize the sum rate for total throughput optimization [25]- [29] and the other is to maximize the minimum user rate for fairness [30], [31]. As an extension of point-to-point mmWave communication systems, the hybrid precoding and combining architectures are also considered in the downlink of mmWave MU-MIMO systems [24], [32]- [37].…”

Section: Introductionmentioning

confidence: 99%

ZF-Based Downlink Hybrid Precoding and Combining for Rate Balancing in mmWave Multiuser MIMO Systems

et al. 2021

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This paper proposes a new design strategy for hybrid precoding and combining in the downlink of millimeter wave (mmWave) multiuser multiple-input multiple-output (MU-MIMO) channels. When channel state information is available at the transmitter, the proposed scheme designs the analog precoder and combiners by iteratively factorizing the matrices for fully digital precoding and combining, respectively, using the alternating optimization technique. Then, the digital precoder and combiners are obtained through block diagonalization of effective MU-MIMO channels composed of the analog precoder, MU-MIMO channels, and analog combiners, in order to eliminate inter-user interferences. Moreover, focusing on rate balancing among users, we derive a new power allocation algorithm that exploits a modified gradient descent method. The proposed method iteratively adjusts the power allocated to each user in terms of maximizing the minimum user rate. Through numerical simulations, we verify the convergence of the proposed design procedure for hybrid precoding and combining. Moreover, it is shown that the proposed method outperforms the conventional hybrid precoding and combining methods for rate balancing as well as achieves the minimum user rate close to the performance upper bound.

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Hybrid Precoding and Combining Based on Rate Balancing for Wideband mmWave Multiuser MIMO Systems

Choi

2023

IEEE Access

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Considering wideband millimeter wave (mmWave) multiuser multiple-input multiple-output (MIMO) systems, we propose a new hybrid precoding and combining method for rate balancing among users. The orthogonal frequency division multiple access (OFDMA) scheme is employed for multiuser transmission, and a greedy-based algorithm is developed for subband allocation under the max-min user rate criterion. A new algorithm is derived that optimizes the radio frequency (RF) precoder and combiners under the constant-modulus constraints as well as the baseband precoders and combiners under the rate balancing power allocation criterion. The proposed algorithm iteratively updates the RF precoder and combiners using the conjugate gradient method, and baseband precoders and combiners through the singular value decomposition and numerical gradient-based power allocation among users and subcarriers. The complexity of the proposed method is compared to existing wideband hybrid processing schemes through analysis and numerical runtime measurement. The convergence of the proposed algorithm is verified via numerical simulations in mmWave MIMO-OFDMA systems. It is also shown through numerical simulations that the proposed wideband hybrid processing method outperforms the existing wideband hybrid techniques in terms of the minimum user rate, regardless of the signal-to-noise ratio, the number of antennas, and the number of users. Moreover, simulation results present that the proposed scheme is more advantageous than the conventional hybrid processing methods under channel uncertainty.INDEX TERMS Hybrid precoding, millimeter wave systems, wideband, rate balancing, multiuser MIMO, conjugate gradient method I. INTRODUCTION

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Rate Balancing for Multiuser MIMO Systems

Cited by 9 publications

References 16 publications

Hybrid Precoding and Combining Strategy for MMSE-Based Rate Balancing in mmWave Multiuser MIMO Systems

Hybrid Precoding and Combining Strategy for MMSE-Based Rate Balancing in mmWave Multiuser MIMO Systems

ZF-Based Downlink Hybrid Precoding and Combining for Rate Balancing in mmWave Multiuser MIMO Systems

Hybrid Precoding and Combining Based on Rate Balancing for Wideband mmWave Multiuser MIMO Systems

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