Hybrid Precoding via Successive Refinement for Millimeter Wave MIMO Communication Systems

Mirza, Jawad; Ali, Bakhtiar; Naqvi, Syed S.; Saleem, Saqib

doi:10.1109/lcomm.2017.2655514

Cited by 31 publications

(30 citation statements)

References 7 publications

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“…The azimuth and elevation AODs of rays in each cluster are drawn from Laplace distribution, i.e., Figure 2 compares the proposed algorithm with the OMP-based sparse precoding algorithm in [12], the successive refinement (SR)-OMP-based sparse precoding algorithm in [22], the PE-AltMin algorithm in [16] and the optimal full digital precoding when SNR = 0 dB, and N s = 4. It is clear that the proposed algorithm achieves better performance than other hybrid precoders, which implies that the proposed refinement process is effective for reducing the residual of the hybrid precoder.…”

Section: Simulation Resultsmentioning

confidence: 99%

P-Omp-Ir Algorithm for Hybrid Precoding in Millimeter Wave Mimo Systems

Du¹,

Liu²,

Wang³

et al. 2018

PIER M

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Abstract-This paper presents a P-OMP-IR algorithm for the hybrid precoding problem in millimeter wave (mm-Wave) multiple-input multiple-output (MIMO) systems. In the proposed approach, the digital precoding matrix is updated via the orthogonal matching pursuit (OMP) method, and the analog precoding matrix is refined column by column using the dominant singular value and corresponding singular vectors of a residual matrix successively. During the refining phase of the analog precoding matrix, an extended power method is designed to calculate the dominant singular value and the corresponding left and right singular vectors, which is able to reduce the computational complexity significantly. Simulation results show that the proposed algorithm can not only reduce the residual of the hybrid precoder effectively, but also improve the spectral efficiency consistently.

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Section: Simulation Resultsmentioning

confidence: 99%

P-Omp-Ir Algorithm for Hybrid Precoding in Millimeter Wave Mimo Systems

Du¹,

Liu²,

Wang³

et al. 2018

PIER M

View full text Add to dashboard Cite

show abstract

“…However, this hybrid precoding will introduce performance loss. In order to mitigate performance loss, an iterative OMP has been utilized to refine the quality of hybrid precoders [64]. Meanwhile, a limited feedback technique has also been proposed for hybrid precoding to reduce the feedback cost.…”

Section: Precoding and Detectionmentioning

confidence: 99%

Sparse Representation for Wireless Communications: A Compressive Sensing Approach

Qin

Fan

Liu

et al. 2018

IEEE Signal Process. Mag.

210

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Sparse representation can efficiently model signals in different applications to facilitate processing. In this article, we will discuss various applications of sparse representation in wireless communications, with focus on the most recent compressive sensing (CS) enabled approaches. With the help of the sparsity property, CS is able to enhance the spectrum efficiency and energy efficiency for the fifth generation (5G) networks and Internet of Things (IoT) networks. This article starts from a comprehensive overview of CS principles and different sparse domains potentially used in 5G and IoT networks. Then recent research progress on applying CS to address the major opportunities and challenges in 5G and IoT networks is introduced, including wideband spectrum sensing in cognitive radio networks, data collection in IoT networks, and channel estimation and feedback in massive MIMO systems. Moreover, other potential applications and research challenges on sparse representation for 5G and IoT networks are identified. This article will provide readers a clear picture of how to exploit the sparsity properties to process wireless signals in different applications.

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“…In this section, we address the problem of designing the hybrid beamformers [30][31][32][33][34]. In the design of hybrid beamforming, the power is usually maximized, so the direction of beam can be designed to the users.…”

Section: The Hybrid Beamformingmentioning

confidence: 99%

DoA and DoD Estimation and Hybrid Beamforming for Radar-Aided mmWave MIMO Vehicular Communication Systems

Chen

Cao

He³

et al. 2018

Electronics

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Abstract:In millimeter wave (mmWave) communications, the feature of relatively large signal absorption and directional transmission render new challenges for wireless communications and signal processing. To further improve the performance of mmWave communications, a novel radar-aided mmWave communication (RAMC) approach is proposed, which can be used in vehicular communications. There are two parts in the proposed RAMC system, including the radar subsystem and the mmWave communication subsystem. In the radar subsystem, the bistatic co-prime multi-input and multi-output (MIMO) arrays are considered. With the radar antenna arrays, both the directions of departure (DoD) and the directions of arrival (DoA) are estimated. Additionally, the compressed sensing (CS)-based method is proposed to obtain the target positions. Using the estimated angle and position information, the channel estimation and feedback link of the mmWave communication subsystem can be eliminated. Moreover, a hybrid beamforming algorithm is proposed in the mmWave communication subsystem, which can overcome the shortage of the analog-only beamforming. Simulation results show that the better estimation performance can be achieved by the bistatic co-prime MIMO arrays than that by the traditional uniform linear arrays (ULA), and with the radar aided, the mmWave communication subsystem can reduce the beam search time, and the cell discovery time is improved significantly.

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Hybrid Precoding via Successive Refinement for Millimeter Wave MIMO Communication Systems

Cited by 31 publications

References 7 publications

P-Omp-Ir Algorithm for Hybrid Precoding in Millimeter Wave Mimo Systems

P-Omp-Ir Algorithm for Hybrid Precoding in Millimeter Wave Mimo Systems

Sparse Representation for Wireless Communications: A Compressive Sensing Approach

DoA and DoD Estimation and Hybrid Beamforming for Radar-Aided mmWave MIMO Vehicular Communication Systems

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