Low-Complexity Multi-User Parameterized Beamforming in Massive MIMO Systems

Jung, Geon-Woong; Lee, Yong-Hwan

doi:10.3390/electronics9060882

Electronics

2020

DOI: 10.3390/electronics9060882

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Low-Complexity Multi-User Parameterized Beamforming in Massive MIMO Systems

Geon-Woong Jung

Yong-Hwan Lee

Abstract: In this paper, we design a complexity-reduced transmission scheme in massive antenna environments. To reduce the implementation complexity for the generation of beam weight, we design a multi-user parameterized beamforming (MUPB) scheme that can control the beam direction using a single parameter with combined use of maximum ratio transmission and partial zero-forcing scheme that partially nulls out interference. We design the MUPB to maximize the signal-to-leakage plus noise ratio (SLNR). To further reduce th… Show more

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Cited by 2 publications

References 32 publications

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Enhanced resource allocation strategies to improve the spectral efficiency in massive MIMO systems

Misso

2024

Journal of Electrical Systems and Inf Technol

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The accuracy of the channel state information is important for correct channel estimation. However, when conducting channel estimation, more resources are allocated to pilots for estimation compared to data transmission. Furthermore, when the number of users increases, the number of pilots for estimation increases. Subsequently, there is an increase in the transmission overhead and hence reduces the spectral efficiency. Therefore, the advantage of obtaining channel state information is significantly reduced. To improve the performance of massive MIMO systems, the study analyses the tradeoff between the number of resources required to correctly estimate the channel using pilots to avoid interference while maintaining optimum spectral efficiency in massive MIMO antennas. Therefore, this study proposes an algorithm to address the challenge of optimum resource allocation in a massive MIMO. Pilot Frequency reuse, max–min fairness algorithm, and Zadoff–Chu sequences were adopted to achieve optimal allocation of resources and reduce interference for users in different cells using the same frequencies. The results reveal improved performance in terms of spectral efficiency with the adoption of the resource optimization approach. The study contributes to the performance improvement of massive MIMO antennas for 5 G communications.

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Enhanced resource allocation strategies to improve the spectral efficiency in massive MIMO systems

Misso

2024

Journal of Electrical Systems and Inf Technol

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Statistical Beamforming for Massive MIMO Systems with Distinct Spatial Correlations

Kim

Park

2020

Sensors

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In this paper, we propose a novel statistical beamforming (SBF) method called the partial-nulling-based SBF (PN-SBF) to serve a number of users that are undergoing distinct degrees of spatial channel correlations in massive multiple-input multiple-output (MIMO) systems. We consider a massive MIMO system with two user groups. The first group experiences a low spatial channel correlation, whereas the second group has a high spatial channel correlation, which can happen in massive MIMO systems that are based on fifth-generation networks. By analyzing the statistical signal-to-interference-plus-noise ratio, it can be observed that the statistical beamforming vector for the low-correlation group should be designed as the orthogonal complement for the space spanned by the aggregated channel covariance matrices of the high-correlation group. Meanwhile, the spatial degrees of freedom for the high-correlation group should be preserved without cancelling the interference to the low-correlation group. Accordingly, a group-common pre-beamforming matrix is applied to the low-correlation group to cancel the interference to the high-correlation group. In addition, to deal with the intra-group interference in each group, the post-beamforming vector for each group is designed in the manner of maximizing the signal-to-leakage-and-noise ratio, which yields additional performance improvements for the PN-SBF. The simulation results verify that the proposed PN-SBF outperforms the conventional SBF schemes in terms of the ergodic sum rate for the massive MIMO systems with distinct spatial correlations, without the rate ceiling effect in the high signal-to-noise ratio region unlike conventional SBF schemes.

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Low-Complexity Multi-User Parameterized Beamforming in Massive MIMO Systems

Cited by 2 publications

References 32 publications

Enhanced resource allocation strategies to improve the spectral efficiency in massive MIMO systems

Enhanced resource allocation strategies to improve the spectral efficiency in massive MIMO systems

Statistical Beamforming for Massive MIMO Systems with Distinct Spatial Correlations

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