Downlink Beamforming with Transmit-Side Channel Correlation: A Large System Analysis

Muharar, Rusdha; Evans, Jamie

doi:10.1109/icc.2011.5962672

Cited by 47 publications

(44 citation statements)

References 23 publications

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“…The performance metric is sum rate in (26). We assume that the BS is elevated and seldom obstructed by local scatters, while users are located on the street level and surrounded by scatters.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…We compute the SINR via the deterministic equivalent method [3,[23][24][25][26] and then obtain the sum rate by (26). The derived SINR is a deterministic quantity in the almost sure (a.s.) asymptotics.…”

Section: Performance Analysismentioning

confidence: 99%

“…We derive the approximate SINR for our proposal using deterministic equivalents [3,[23][24][25][26]. This method based on the random matrix theory enables us to approximate the stochastic SINR with deterministic expression which is dependent only on statistical channel state information (CSI).…”

Section: Introductionmentioning

confidence: 99%

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A low-complexity 3D massive MIMO scheme jointly using statistical and instantaneous CSIT

Fan

Huang

et al. 2016

J Wireless Com Network

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In this paper, we propose a three-dimensional (3D) beamforming scheme for the massive multiple-input multiple-output (MIMO) system where the base station (BS) employs a uniform rectangular array (URA). In order to avoid the high computational complexity involving large-dimensional channel matrices, a two-stage beamforming method is applied where the second-stage beamforming is a Kronecker product of azimuth and elevation discrete Fourier transform (DFT) beamforming. These DFT prebeamformers are used for cell splitting and form effective channels with lower dimension for first-stage precoding. We develop a low-complexity user grouping algorithm based on the statistical channel state information at the transmitter (CSIT) to partition users. Each group of users is served by the signal-to-leakage-and-noise ratio (SLNR) precoding aiming at suppressing the intra-group and adjacent-group interferences, which is a good balance between performance and complexity. We derive the approximate signal-to-interference-plus-noise ratio (SINR) of our proposed scheme. Numerical results validate that the SINR approximations are tight and indicate the significance of the proposed 3D beamforming scheme.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Performance Analysismentioning

confidence: 99%

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A low-complexity 3D massive MIMO scheme jointly using statistical and instantaneous CSIT

Fan

Huang

et al. 2016

J Wireless Com Network

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“…(5) and RZF  is defined based on the large system analysis given by [8] which derived the optimal regularization coefficient to maximize the SNIR.…”

Section: Zf H Tmentioning

confidence: 99%

Linear Precoding performance analysis in a Broadband satellite system with a 2-color dual-polarization reuse scheme

Vidal¹,

Alberty

Inigo

et al. 2013

31st AIAA International Communications Satellite Systems Conference

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The potential of Joint Multiuser Processing in multi-beam satellite systems is assessed in this paper and proved to be a potential attractive alternative to current systems. The present contribution aims at investigating linear precoding techniques over an accurate multi-beam architecture modeling and system characterization. Power and precoder design problems are approached through wellknown linear precoding techniques such as Zero Forcing (ZF) andRegularized-ZF. A dual-polarization 2-color reutilization scheme is considered in combination with precoding techniques. Results show a total throughput improvement of +22% achieved by ZF and +38% considering R-ZF, with respect to a conventional 4-color reuse scheme scenario.

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“…Based on the large system analysis, the optimal a (in the statistical sense) to maximize the SINR is given by [56],…”

Section: Regularized Zero-forcing and Sub-optimal Power Allocationmentioning

confidence: 99%

Linear and nonlinear techniques for multibeam joint processing in satellite communications

Christopoulos

Chatzinotas

Zheng

et al. 2012

J Wireless Com Network

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Existing satellite communication standards such as DVB-S2, operate under highly-efficient adaptive coding and modulation schemes thus making significant progress in improving the spectral efficiencies of digital satellite broadcast systems. However, the constantly increasing demand for broadband and interactive satellite links emanates the need to apply novel interference mitigation techniques, striving towards Terabit throughput. In this direction, the objective of the present contribution is to investigate joint multiuser processing techniques for multibeam satellite systems. In the forward link, the performance of linear precoding is investigated with optimal nonlinear precoding (i.e., dirty article coding) acting as the upper performance limit. To this end, the resulting power and precoder design problems are approached through optimization methods. Similarly, in the return link the concept of linear filtering (i.e., linear minimum mean square error) is studied with the optimal successive interference cancelation acting as the performance limit. The derived capacity curves for both scenarios are compared to conventional satellite systems where beams are processed independently and interbeam interference is mitigated through a four color frequency reuse scheme, in order to quantify the potential gain of the proposed techniques.

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Downlink Beamforming with Transmit-Side Channel Correlation: A Large System Analysis

Cited by 47 publications

References 23 publications

A low-complexity 3D massive MIMO scheme jointly using statistical and instantaneous CSIT

A low-complexity 3D massive MIMO scheme jointly using statistical and instantaneous CSIT

Linear Precoding performance analysis in a Broadband satellite system with a 2-color dual-polarization reuse scheme

Linear and nonlinear techniques for multibeam joint processing in satellite communications

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