Low complexity hybrid sparse precoding and combining in millimeter wave MIMO systems

Rusu, Cristian; Méndez-Rial, Roi; Gonzalez-Prelcicy, Nuria; Heath, Robert W.

doi:10.1109/icc.2015.7248509

Cited by 92 publications

(52 citation statements)

References 17 publications

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“…In [154] the codebook base approach is also considered, and another method for the efficient selection of the precoders/combiners is presented. In [155], the semi-unitary structure of the optimum precoder (in the absence of hardware constraints) is exploited. The search space in the array manifold is significantly reduced and a much lower complexity optimization algorithm is obtained.…”

Section: Single User Hybrid Precoding With Phase Shifters or Switchesmentioning

confidence: 99%

An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems

Heath

González–Prelcic

Rangan

et al. 2016

IEEE J. Sel. Top. Signal Process.

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2,418

1,760

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Section: Single User Hybrid Precoding With Phase Shifters or Switchesmentioning

confidence: 99%

An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems

Heath

González–Prelcic

Rangan

et al. 2016

IEEE J. Sel. Top. Signal Process.

Self Cite

2,418

1,760

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show abstract

“…Furthermore, we denote F RF,\l as the precoding matrix excluding the l-th precoder vector f RF,l and W RF,\l as the combining matrix excluding the lth combiner vector w RF,l . Then, the formulation (11) can be further transformed to (12)- (16), which are presented at the top of following page, where α is a very small scalar to assure invertibility. Thus, the objective in (9) can be reformulated as:…”

Section: A Low-resolution Analog Precoder and Combiner Designmentioning

confidence: 99%

Hybrid Precoder and Combiner Design With Low-Resolution Phase Shifters in mmWave MIMO Systems

Wang

Liu

et al. 2018

IEEE J. Sel. Top. Signal Process.

157

127

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Millimeter wave (mmWave) communications have been considered as a key technology for next generation cellular systems and Wi-Fi networks because of its advances in providing orders-of-magnitude wider bandwidth than current wireless networks. Economical and energy-efficient analog/digial hybrid precoding and combining transceivers have been often proposed for mmWave massive multiple-input multiple-output (MIMO) systems to overcome the severe propagation loss of mmWave channels. One major shortcoming of existing solutions lies in the assumption of infinite or high-resolution phase shifters (PSs) to realize the analog beamformers. However, low-resolution PSs are typically adopted in practice to reduce the hardware cost and power consumption. Motivated by this fact, in this paper, we investigate the practical design of hybrid precoders and combiners with low-resolution PSs in mmWave MIMO systems. In particular, we propose an iterative algorithm which successively designs the low-resolution analog precoder and combiner pair for each data stream, aiming at conditionally maximizing the spectral efficiency. Then, the digital precoder and combiner are computed based on the obtained effective baseband channel to further enhance the spectral efficiency. In an effort to achieve an even more hardware-efficient large antenna array, we also investigate the design of hybrid beamformers with one-bit resolution (binary) PSs, and present a novel binary analog precoder and combiner optimization algorithm with quadratic complexity in the number of antennas. The proposed low-resolution hybrid beamforming design is further extended to multiuser MIMO communication systems. Simulation results demonstrate the performance advantages of the proposed algorithms compared to existing lowresolution hybrid beamforming designs, particularly for the onebit resolution PS scenario.Index Terms-Millimeter wave (mmWave) communications, hybrid precoder, multiple-input multiple-output (MIMO), phase shifters, one-bit quantization.

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“…It has been seen that the hybrid architectures, where the signal processing is performed by using the combination of analogue/digital precoders and decoders, significantly improves the performance of the system as compared to using the only analogue beamforming, and thus can support multi-stream communication from the multiple end users [23][24][25][26][27]. In the conventional hybrid approaches, the researches connect the output of each RF chain with all the transmitting antennas at the base station, which in turn results in the increment in the consumed power and the corresponding energy efficiency [28][29][30][31][32][33][34][35][36]. The conventionally used hybrid approaches, where each of the RF chains is connected with all the transmitting antennas, are also used in [37][38][39][40], where the authors use the Orthogonal Matching Pursuit (OMP) to solve the problem of designing the optimal hybrid precoders and decoders.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Energy Efficiency of mmWave Massive MIMO by Modifying the RF Circuit Configuration

Uthansakul

Khan

2019

Energies

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Hybrid architectures are used in the Millimeter wave (mmWave) Massive MIMO systems, which use a smaller number of RF chains and reduces the power and energy consumption of the mmWave Massive MIMO systems. However, the majority of the hybrid architectures employs the conventional circuit configuration by connecting each of the RF chains with all the transmitting antennas at the base station. As a result, the conventional circuit configuration requires a large number of phase shifters, combiners, and low-end amplifiers. In this paper, we modify the RF circuit configuration by connecting each of the RF chains with some of the transmitting antennas of mmWave Massive MIMO. Furthermore, the hybrid analogue/digital precoders and decoders along with the overall circuit power consumptions are modelled for the modified RF circuit configuration. In addition, we propose the alternating optimization algorithm to enhance the optimal energy efficiency and compute the optimal system parameters of the mmWave Massive MIMO system. The proposed framework provides deeper insights of the optimal system parameters in terms of throughput, consumed power and the corresponding energy efficiency. Finally, the simulation results validate the proposed framework, where it can be seen that the proposed algorithm significantly reduces the power and energy consumptions, with a little compromise on the system spectral gain.

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Low complexity hybrid sparse precoding and combining in millimeter wave MIMO systems

Cited by 92 publications

References 17 publications

An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems

An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems

Hybrid Precoder and Combiner Design With Low-Resolution Phase Shifters in mmWave MIMO Systems

Enhancing the Energy Efficiency of mmWave Massive MIMO by Modifying the RF Circuit Configuration

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