Low-Complexity OFDM-Based Hybrid Precoding for Multiuser Massive MIMO Systems

Liu, Ying; Wang, Jintao

doi:10.1109/lwc.2019.2929518

Cited by 21 publications

(6 citation statements)

References 10 publications

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“…In this section, performance of the proposed hybrid combiner is evaluated. The sum‐rate performance of Gram–Schmidt based hybrid beamforming (GSHBF) [16], eigenvalue decomposition based HBF [35], and singular value decomposition based HBF [36] are also provided for comparison. As a benchmark, the digital‐only combiner is also included in the graphs.…”

Section: Simulation Resultsmentioning

confidence: 99%

A low complexity hybrid combiner design for the ill‐conditioned multiuser mmWave massive MIMO uplink

Ahmed¹,

Khammari²,

Alraddady

2021

IET Communications

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This paper presents a simple and robust hybrid combiner for the multiuser massive multiple‐input multiple‐output (MIMO) uplink. The hybrid beamforming is used in massive MIMO systems to reduce the number of radio frequency chains. Radio frequency chain consists of power hungry electronic components like mixer, analog‐to‐digital converter / digital‐to‐analog converter etc. This paper proposes a Householder based hybrid beamforming (HHBF) design to simultaneously reduce the beam domain inter‐user interference and increase the sum‐rate performance of massive MIMO uplink. The Householder reflectors generate the orthogonal analog combiner matrix which not only reduces inter‐user interference but also helps reduce the dimension of the digital combiner. It has been shown that the proposed HHBF scheme provides better sum‐rate performance than the Gram–Schmidt based hybrid beamforming design in the real‐World ill‐conditioned MIMO channel. Simulation results show that the beam domain orthogonality error remains less than 0.5 with 0.97 probability and the proposed HHBF provides 25.95% increased sum‐rate at 10 dB SNR.

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Section: Simulation Resultsmentioning

confidence: 99%

A low complexity hybrid combiner design for the ill‐conditioned multiuser mmWave massive MIMO uplink

Ahmed¹,

Khammari²,

Alraddady

2021

IET Communications

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“…On the other hand, the promising results achieved for narrowband networks, researchers had begun to explore frequency selective broadband channels, considering, especially, OFDM networks because of large bandwidths available in mmWave and THz. The OFDM permits decomposition of the broadband channel into multiple non-interfering frequency-flat narrowband channels with independent subcarriers; the analog beamforming is distributed among all these subcarriers, therefore making design of the HBF-OFDM ever more difficult [13][14][15][16]. Recently, the design of HBF-OFDM for SU-MIMO systems was studied in [10][11][12][13][14], while the design of HBF-OFDM for multi-user (MU) MIMO systems were investigated in [15][16]19] with multi-stream transmission.…”

Section: Related Workmentioning

confidence: 99%

Sub-System Architecture for millimeter-wave massive MIMO systems

Gerald Chukwudi Eze,

Mamilus Aginwa Ahaneku

2024

World J. Adv. Res. Rev.

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In this paper, we study the hybrid beamforming design for millimeter-wave (mmWave) massive multiple-input multiple-output (mMIMO) systems. The designing of hybrid beamforming for orthogonal frequency-division multiplexing (OFDM) systems is tasking since its analog beamforming is shared among all subcarriers. We adopt a two-step technique for designing the analog and digital beamforming separately in order to maximize the average achievable energy and spectral efficiency of frequency-selective mmWave mMIMO-OFDM systems. Firstly, the analog beamforming design is based on the viewpoint of sub-systems (SS) and the goal is to optimize the array gain and radio frequency chains. Secondly, the digital beamforming design is carried out by using the regularized channel diagonalization (RCD) and block diagonalization (BD) solutions. On the other hand, the BD solution is modified for single-user. Thus, we propose the use of SS-RCD for multi-user and SS-BD for single-user hybrid beamforming designs. The solutions provide interference suppression but differ in low-SNR performance when communicating to many mobile users via data streams. Simulation results present that our hybrid beamforming design outperforms several other designs.

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“…However, because of the high PS count, this topology has a significant hardware complexity and power consumption. Partiallyconnected topologies, in which each RF chain is connected to only a subset of antennas, were presented in [12][13][14][15] as a solution to these issues. Achieving a comparable SE with the performance of full-digital beamforming is one of the primary problems in hybrid beamforming design.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Beamforming for Massive MIMO Antenna Array Processor in 5G Wireless Communication

Razi,

Hasan,

Hossain

2024

Preprint

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In order to overcome limitations in available frequency ranges, regulatory agencies such as the FCC are actively searching for ways to maximize the efficiency of bandwidth usage and improve customer satisfaction within the field of radio communication. This study highlights the crucial significance of Massive Multiple Input Multiple Output (MIMO) systems in addressing these problems in 5G wireless networks, resulting in improved spectrum efficiency and stability. The study presents a geometric channel model for massive MIMO systems that make use of Uniform Linear Array (ULA), Uniform Rectangular Array (URA), and Uniform Circular Array (UCA). Following that, a hybrid beamforming system is introduced, which integrates enhanced algorithms in both digital and analog precoders. This innovative methodology significantly minimizes approximation errors, thus improving spectral efficiency (SE). A comparative analysis is performed by implementing the hybrid beamforming algorithm on different array topologies to evaluate the differences between fully digital and hybrid systems. Although there is a slight decrease in SE, the hybrid model offers a notable benefit by requiring fewer antenna components upto 98.43%, making it an attractive choice in terms of performance and cost. Moreover, the study emphasizes the exceptional efficacy of the hybrid approach in the URA system, particularly when combined with specific array configurations and found 38.72 bits/s/Hz SE.

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Low-Complexity OFDM-Based Hybrid Precoding for Multiuser Massive MIMO Systems

Cited by 21 publications

References 10 publications

A low complexity hybrid combiner design for the ill‐conditioned multiuser mmWave massive MIMO uplink

A low complexity hybrid combiner design for the ill‐conditioned multiuser mmWave massive MIMO uplink

Sub-System Architecture for millimeter-wave massive MIMO systems

Hybrid Beamforming for Massive MIMO Antenna Array Processor in 5G Wireless Communication

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