Hybrid Precoding Based on MMSE-EDS for Multi-user Multi-stream Massive MIMO Systems

Li, Zhan; Chen, Yueyun; Yang, Meijie; Jian, Rongling

doi:10.1109/wocc.2019.8770543

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…Therefore, various low-cost and less complex hybrid precoding methods are required to model efficient transmitters and testbeds to mitigate jamming for MIMO-based mmWave systems [285][286][287][288][289]. This goal can be achieved by designing architecture with a combination of analog and digital processing that can be utilized to enable beamforming and spatial multiplexing with minimum complexity in achieving optimal performance [290,291]. An ML algorithm can be utilized to predict various channel characteristics and create a beamforming M-MIMO dataset framework [292,293].…”

Section: M-mimomentioning

confidence: 99%

Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G Networks

et al. 2020

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With an extensive growth in user demand for high throughput, large capacity, and low latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing the inherent limitations of the system, as compared with its original premises. Such limitations are encouraging researchers worldwide to focus on next-generation 6G wireless systems, which are expected to address the constraints. To meet the above demands, future radio network architecture should be effectively designed to utilize its maximum radio spectrum capacity. It must simultaneously utilize various new techniques and technologies, such as Carrier Aggregation (CA), Cognitive Radio (CR), and small cell-based Heterogeneous Networks (HetNet), high-spectrum access (mmWave), and Massive Multiple-Input-Multiple-Output (M-MIMO), to achieve the desired results. However, the concurrent operations of these techniques in current 5G cellular networks create several spectrum management issues; thus, a comprehensive overview of these emerging technologies is presented in detail in this study. Then, the problems involved in the concurrent operations of various technologies for the spectrum management of the current 5G network are highlighted. The study aims to provide a detailed review of cooperative communication among all the techniques and potential problems associated with the spectrum management that has been addressed with the possible solutions proposed by the latest researches. Future research challenges are also discussed to highlight the necessary steps that can help achieve the desired objectives for designing 6G wireless networks.

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Section: M-mimomentioning

confidence: 99%

Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G Networks

et al. 2020

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“…Furthermore, an approach based on the criterion of minimizing mean square error to maximize the signal-to-leakage-plus-noise ratio of each user in the digital stage is studied in [30]. Beside the above design criterion, the authors of [31] introduced a method based on leveraging BD technology to eliminate the inter-user interference in the analog stage and minimize the mean square error of each data stream to harvest energy in the digital stage. Note that there are other schemes that utilize the two-stage method to design SU-MIMO communications.…”

Section: Introductionmentioning

confidence: 99%

Near-Optimal Design for Hybrid Beamforming in mmWave Massive Multi-User MIMO Systems

Zhang

Chen

et al. 2020

IEEE Access

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Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems can obtain sufficient beamforming gains to combat severe path loss in signal propagation. The hybrid (analog/digital) beamforming with multiple data streams can be utilized to further improve mmWave spectral efficiency. In this paper, we focus on the hybrid beamforming design of a downlink mmWave massive multiuser MIMO (MU-MIMO) system based on full-connected structure, and aim to maximize the sum rate of the overall system as an objective function. In the analog beamforming stage, a piecewise successive iterative approximation (PSIA) algorithm is proposed to design the analog beamformer and combiner. This algorithm not only has a linear property, but also can obtain closed-form solutions. In the digital beamforming stage, the piecewise successive approximation method is utilized to design the digital beamforming based on the criterion to avoid the loss of information, which can help reduce the computational complexity and is also implemented simply. The results show that the proposed scheme achieves good sum-rate performance in the mmWave massive MU-MIMO system, and outperforms the state-of-the art MIMO hybrid beamforming design schemes, even when the number of base station antennas is not very large.INDEX TERMS Millimeter wave, massive MIMO, multi-user, hybrid beamforming, sum rate.

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Dual iterative algorithm for hybrid beamforming in mmWave downlink massive multi-user MIMO systems

Umaria

Shah

2023

Analog Integr Circ Sig Process

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Hybrid Precoding Based on MMSE-EDS for Multi-user Multi-stream Massive MIMO Systems

Cited by 4 publications

References 10 publications

Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G Networks

Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G Networks

Near-Optimal Design for Hybrid Beamforming in mmWave Massive Multi-User MIMO Systems

Dual iterative algorithm for hybrid beamforming in mmWave downlink massive multi-user MIMO systems

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