BD-UCD-Based Nonlinear Hybrid Precoding for Millimeter Wave Massive Multiuser MIMO Systems

Yuan, Minghao; Wang, Hua; Sun, Yiwei

doi:10.1109/lcomm.2020.3034131

Cited by 8 publications

(5 citation statements)

References 17 publications

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“…Figure 6 and Figure 7 show the impact of signal‐to‐noise ratio (SNR), where the Optimal full‐digital that is obtained by the singular vectors from the SVD of the channel matrix

\boldsymbol{H}

, 28 TH hybrid precoding algorithm, 15 Hybrid THP algorithm, 17 Hybrid BD‐GMD TH precoding algorithm, 18 the CA‐based hybrid precoding algorithm 9 and the MU‐SIC hybrid precoding algorithm 7 as comparisons. The simulation results show that the energy efficiency and spectral efficiency of the proposed THP‐SC algorithm are higher than those of the comparison algorithm.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…With using the singular value threshold shrinkage, the optimization problem ( 14) can be solved optimally by the following theorem. 16) and the singular value shrinkage operator of (17), the optimization problem of ( 14) can be solved simplistically by singular value threshold shrinkage (SVS) method. The formula can be reduced to R = log 2 (|I +…”

Section: Algorithm Optimizationmentioning

confidence: 99%

“…In view of the influence of energy loss caused by signaling overhead of channel state information (CSI), a novel dual‐timescale nonlinear joint hybrid transceiver design algorithm is proposed to effectively reduce energy loss 16 . However, it is still a challenging problem to obtain a hybrid TH preencoder in SC structure and achieve a satisfactory concession between precoding performance and power consumption, due to the constraints of antenna subarray structure and phase‐shifting devices 17 …”

Section: Introductionmentioning

confidence: 99%

“…16 However, it is still a challenging problem to obtain a hybrid TH preencoder in SC structure and achieve a satisfactory concession between precoding performance and power consumption, due to the constraints of antenna subarray structure and phaseshifting devices. 17 In this paper, a TH hybrid precoding algorithm with SC structure is proposed. The main contributions are as follows:…”

Section: Introductionmentioning

confidence: 99%

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Hybrid TH precoding with subarray connection for multi‐user mmWave MIMO systems

Guan

Tian

et al. 2023

Trans Emerging Tel Tech

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Existing linear algorithms based on subarray connection (SC) structures may cause noise enhancement and performance degradation. To solve this problem, this paper presents a nonlinear hybrid Tomlinson‐Harashima precoding (THP) algorithm based on SC structure, named as THP‐SC algorithm. In the proposed algorithm, the sum‐rate optimization problem can be transformed into two equivalent optimization subproblems including the transmitter optimization subproblem and the receiver optimization subproblem. These two subproblems are easy to solve. Furthermore, the analog precoding and combining matrices of the optimization subproblem are solved by a new improved successive interference cancelation (SIC) algorithm based on the singular value threshold shrinkage (SVS), which can effectively reduce the computational complexity while eliminating the interference. In the end, the digital precoding and combining matrices are obtained by TH method. Through the joint optimization of the transmitter and receiver matrices in the system, the optimal solution is obtained by alternate iteration of the matrices. In this paper, a more realistic line‐of‐sight (LOS) and non‐line‐of‐sight (NLOS) channel system is also considered. Simulations verify that the proposed algorithm can improve the spectral efficiency and energy efficiency to some extent with a comparable complexity compared to the previous works.

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“…Figure 6 and Figure 7 show the impact of signal‐to‐noise ratio (SNR), where the Optimal full‐digital that is obtained by the singular vectors from the SVD of the channel matrix

\boldsymbol{H}

Section: Simulation Resultsmentioning

confidence: 99%

Section: Algorithm Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Hybrid TH precoding with subarray connection for multi‐user mmWave MIMO systems

Guan

Tian

et al. 2023

Trans Emerging Tel Tech

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“…, where √ β k indicates large-scale path fading and Ḣk indicates the normalized channel matrix for the k-th user, satisfying E Ḣk 2 F = N t N r . In the mmWave channel, the main feature is the limited number of scattering clusters in the propagation path [34][35][36]. To characterize the limited scattering property of mmWave channels, the Saleh-Valenzuela geometric model is adopted in this paper [37,38].…”

Section: Channel Modelmentioning

confidence: 99%

Spectral-efficient hybrid precoding for multi-antenna multi-user mmWave massive MIMO systems with low complexity

Liu

Zhang

et al. 2022

J Wireless Com Network

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Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems allow for a data transmission rate of gigabits per second owing to the large bandwidth available in the mmWave spectrum and the antenna gains provided by the massive MIMO system. However, hybrid precoding with high complexity and low spectral efficiency cannot address the challenge of high cost and power consumption of RF chains of multi-user systems. In this paper, we propose a low-complexity hybrid precoding scheme for downlink multi-antenna multi-user mmWave massive MIMO systems, aiming to enhance the sum spectral efficiency (SSE) performance. We first extend the dimension of the analog precoding matrix into a square matrix and find the optimal analog combiner by selecting some of the discrete Fourier transform (DFT) bases, which enhances the equivalent baseband channel matrix gain. Then, we directly aggregate the channel gain through the equal gain transmission (EGT) method to ensure the frequency efficiency performance. Finally, we propose an improved BD scheme to design the digital precoder and combiner to reduce the inter-user interference. We consider both the mmWave channel and the Rayleigh channel to evaluate the performance of the proposed algorithm. The simulation results verify that the proposed scheme enjoys near-optimal achievable sum spectrum efficiency and BER performance in both the mmWave channel and Rayleigh channel and performs even better in Rayleigh channel than in the mmWave channel.

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