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

Park, Woohyeong; Choi, Jeong‐Ja

doi:10.1109/access.2022.3199875

Cited by 7 publications

(5 citation statements)

References 46 publications

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“…In (11), represents the optimal digital precoder of the group. Utilizing equations (10) and (11), problem (8) can be reformulated into a set of distinct subproblems, each addressing an individual group independently.…”

Section: Hybrid Array Architecture System Model and Problem Formulationmentioning

confidence: 99%

Hybrid Precoding/Combining for mmWave MIMO Systems With Hybrid Array Architecture

Alouzi,

Al-Kamali,

D'amours

et al. 2023

IEEE Access

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Utilizing hybrid precoding/combining for subarray (SA) architectures in millimeter-wave (mmWave) multi-input multi-output (MIMO) systems offers reduced hardware cost and power consumption when compared with that for full array (FA) architectures, although the spectral efficiency is lower. Hence, this paper introduces a new hybrid array (HA) architecture for mmWave MIMO systems, designed to achieve a balance between spectral efficiency, cost, and power consumption. Initially, the proposed HA architecture partitions the antennas into distinct subarrays. The number of these subarrays equals the count of radio frequency chains at the transmitter/receiver. These subarrays are subsequently organized into separate subsets referred to as groups. Ultimately, within each group, the antennas are connected with a corresponding group of radio frequency chains, employing a connection method similar to that of the FA architecture. Compared to the SA architecture, the proposed HA architecture provides higher spectral efficiency by exploiting spatial diversity through grouping of antennas. Furthermore, the HA architecture achieves cost and power reduction in comparison to the FA architecture by connecting a subset of antennas to each group of radio frequency chains. Two efficient iterative hybrid precoding/combining algorithms are also proposed, studied and compared for HA architecture mmWave MIMO system. During the design derivations, the proposed algorithms consider the block structure inherent in the analog precoding and combining matrices within the HA architecture. This consideration makes it possible to independently optimize hybrid precoding/combining for each group. Results show that the suggested HA hybrid design using Algorithm 2 provides better performance than using Algorithm 1 and both algorithms can achieve higher spectral efficiency than the conventional SA and FA hybrid designs while being less complex.INDEX TERMS FA, SA, HA, hybrid precoding/combining, mmWave, and MIMO.

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Section: Hybrid Array Architecture System Model and Problem Formulationmentioning

confidence: 99%

Hybrid Precoding/Combining for mmWave MIMO Systems With Hybrid Array Architecture

Alouzi,

Al-Kamali,

D'amours

et al. 2023

IEEE Access

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“…In light of this, hybrid precoding and combining schemes are viewed as a promising technology that can strike a balance between system performance and hardware complexity. There are two primary hybrid precoding and combining architectures used in millimeter-wave systems: full array (FA) [2][3][4][5][6][7][8][9][10][11][12][13][14][15] and subarray (SA) [16][17][18][19][20][21][22][23] architectures. The FA architecture is commonly employed in hybrid precoding and combining systems.…”

Section: Introductionmentioning

confidence: 99%

“…In [4], we introduced an iterative low-complexity hybrid design algorithm based on gradient descent. The work in [5] proposed hybrid designs for Mini-Mental State Examination (MMSE)-based rate balancing in mmWave multiuser MIMO systems and the work in [7] proposed joint hybrid precoding and combining for massive MIMO systems. In [8], a greedy approach is introduced without assumptions about channel structure or array geometry.…”

Section: Introductionmentioning

confidence: 99%

Architectures for Hybrid Precoding and Combining Techniques in Massive MIMO Systems Operating in the mmWave Band

Al-Kamali¹,

Alouzi²,

D’Amours³

et al. 2023

MIMO Communications - Fundamental Theory, Propagation Channels, and Antenna Systems

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Hybrid precoding and combining techniques in millimeter-wave (mmWave) multiple-input multiple-output (MIMO) systems with various array architectures have attracted significant interest as a promising technology for the development of 6G wireless communication systems. This approach presents numerous advantages, including reduced complexity, cost, and power consumption, when compared to traditional analog precoding methods. In this chapter, we investigate hybrid precoding and combining techniques for massive MIMO systems operating in the millimeter-wave (mmWave) band, with a focus on different architectures, such as full array (FA), subarray (SA), and hybrid array (HA) architectures. We discuss the system model of each architecture. Additionally, we solve the hybrid precoding and combining optimization problem to maximize the spectral efficiency of each architecture. We then propose iterative hybrid precoding and combining algorithms for all architectures, as well as compare their performance to that of traditional hybrid design methods to demonstrate that the proposed algorithms achieve superior performance with lower complexity and hardware requirements.

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“…On the other hand, the rate balancing precoding schemes were derived under the MMSE criterion to ensure the rate fairness among users in the downlink of MU-MIMO channels [29], [30]. By applying the rate balancing approach to mmWave downlink MU-MIMO systems, hybrid precoders and combiners were developed in terms of maximizing the minimum user rate obtained by the zero-forcing (ZF) and MMSE criteria [31], [32].…”

mentioning

confidence: 99%

“…where Pk is determined by the water-filling solution using the diagonal elements of D k C −1 k and p m . Using (31), the optimization problem in (23) assigned to user m. The power allocation problem in (32) can be solved by the numerical gradient-based method described as Algorithm 2 in [31]. As mentioned before, Pk corresponding to the optimal p m is determined by the waterfilling algorithm.…”

mentioning

confidence: 99%

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

Cited by 7 publications

References 46 publications

Hybrid Precoding/Combining for mmWave MIMO Systems With Hybrid Array Architecture

Hybrid Precoding/Combining for mmWave MIMO Systems With Hybrid Array Architecture

Architectures for Hybrid Precoding and Combining Techniques in Massive MIMO Systems Operating in the mmWave Band

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

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