A low-complexity zero-forcing beamformer design for multiuser MIMO systems via a dual gradient method

Bin Li; H.H. Dam; Antonio Cantoni

doi:10.3934/naco.2016012

A low-complexity zero-forcing beamformer design for multiuser MIMO systems via a dual gradient method

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Abstract

© 2016 American Institute of Mathematical Sciences. All rights reserved.In this paper, we consider the zero-forcing beamforming (ZFBF) under the per-antenna power constraints (PAPC). Our objective is to maximize the minimum user information rate. Traditionally, ZFBF under PAPC with a max-min performance measure can be transformed into a second order cone problem and then solved by applying the interior point method. However, it is expensive to realize this design in practice due to high computational com-plexity per iteration. An alternative low complexity zero-forcing beamformer design is proposed for MU-MIMO systems by applying a dual gradient method. Different from the step size rule in the literature, a backtracking line search is adopted. A numerical example is provided to show the effectiveness of the proposed method.

Original language	English
Pages (from-to)	297-304
Number of pages	8
Journal	Numerical Algebra, Control and Optimization
Volume	6
Issue number	3
DOIs	https://doi.org/10.3934/naco.2016012
Publication status	Published - Sept 2016

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title = "A low-complexity zero-forcing beamformer design for multiuser MIMO systems via a dual gradient method",

abstract = "{\textcopyright} 2016 American Institute of Mathematical Sciences. All rights reserved.In this paper, we consider the zero-forcing beamforming (ZFBF) under the per-antenna power constraints (PAPC). Our objective is to maximize the minimum user information rate. Traditionally, ZFBF under PAPC with a max-min performance measure can be transformed into a second order cone problem and then solved by applying the interior point method. However, it is expensive to realize this design in practice due to high computational com-plexity per iteration. An alternative low complexity zero-forcing beamformer design is proposed for MU-MIMO systems by applying a dual gradient method. Different from the step size rule in the literature, a backtracking line search is adopted. A numerical example is provided to show the effectiveness of the proposed method.",

author = "Bin Li and H.H. Dam and Antonio Cantoni",

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AU - Cantoni, Antonio

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N2 - © 2016 American Institute of Mathematical Sciences. All rights reserved.In this paper, we consider the zero-forcing beamforming (ZFBF) under the per-antenna power constraints (PAPC). Our objective is to maximize the minimum user information rate. Traditionally, ZFBF under PAPC with a max-min performance measure can be transformed into a second order cone problem and then solved by applying the interior point method. However, it is expensive to realize this design in practice due to high computational com-plexity per iteration. An alternative low complexity zero-forcing beamformer design is proposed for MU-MIMO systems by applying a dual gradient method. Different from the step size rule in the literature, a backtracking line search is adopted. A numerical example is provided to show the effectiveness of the proposed method.

AB - © 2016 American Institute of Mathematical Sciences. All rights reserved.In this paper, we consider the zero-forcing beamforming (ZFBF) under the per-antenna power constraints (PAPC). Our objective is to maximize the minimum user information rate. Traditionally, ZFBF under PAPC with a max-min performance measure can be transformed into a second order cone problem and then solved by applying the interior point method. However, it is expensive to realize this design in practice due to high computational com-plexity per iteration. An alternative low complexity zero-forcing beamformer design is proposed for MU-MIMO systems by applying a dual gradient method. Different from the step size rule in the literature, a backtracking line search is adopted. A numerical example is provided to show the effectiveness of the proposed method.

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JO - Numerical Algebra, Control and Optimization

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ER -

A low-complexity zero-forcing beamformer design for multiuser MIMO systems via a dual gradient method

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