Low-Complexity MMSE Precoding for Coordinated Multipoint with Per-Antenna Power Constraint

Tae Min  Kim; Fan Sun; Arogyaswami Paulraj

doi:10.1109/LSP.2013.2246152

Low-Complexity MMSE Precoding for Coordinated Multipoint with Per-Antenna Power Constraint

Tae Min Kim, Fan Sun, Arogyaswami Paulraj

Department of Electronic Systems

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Abstract

We propose a low-complexity minimum mean square error (MMSE) transmit filter design for the coordinated beamforming (CB) in the coordinated multipoint (CoMP) under the practical per-antenna power constraint (PAPC). The proposed design is based on the non-linear Gauss-Seidel type algorithm in which the transmit filters for given receive filters are computed by iteratively updating the beamformer of each transmit antenna using simple closed-form expressions. The proposed approach can significantly reduce the overall complexity of the alternating optimization while preserving the optimality in the MSE sense.

Original language	English
Journal	I E E E Signal Processing Letters
Volume	20
Issue number	4
Pages (from-to)	395 - 398
Number of pages	4
ISSN	1070-9908
DOIs	https://doi.org/10.1109/LSP.2013.2246152
Publication status	Published - Apr 2013

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abstract = "We propose a low-complexity minimum mean square error (MMSE) transmit filter design for the coordinated beamforming (CB) in the coordinated multipoint (CoMP) under the practical per-antenna power constraint (PAPC). The proposed design is based on the non-linear Gauss-Seidel type algorithm in which the transmit filters for given receive filters are computed by iteratively updating the beamformer of each transmit antenna using simple closed-form expressions. The proposed approach can significantly reduce the overall complexity of the alternating optimization while preserving the optimality in the MSE sense.",

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N2 - We propose a low-complexity minimum mean square error (MMSE) transmit filter design for the coordinated beamforming (CB) in the coordinated multipoint (CoMP) under the practical per-antenna power constraint (PAPC). The proposed design is based on the non-linear Gauss-Seidel type algorithm in which the transmit filters for given receive filters are computed by iteratively updating the beamformer of each transmit antenna using simple closed-form expressions. The proposed approach can significantly reduce the overall complexity of the alternating optimization while preserving the optimality in the MSE sense.

AB - We propose a low-complexity minimum mean square error (MMSE) transmit filter design for the coordinated beamforming (CB) in the coordinated multipoint (CoMP) under the practical per-antenna power constraint (PAPC). The proposed design is based on the non-linear Gauss-Seidel type algorithm in which the transmit filters for given receive filters are computed by iteratively updating the beamformer of each transmit antenna using simple closed-form expressions. The proposed approach can significantly reduce the overall complexity of the alternating optimization while preserving the optimality in the MSE sense.

U2 - 10.1109/LSP.2013.2246152

DO - 10.1109/LSP.2013.2246152

M3 - Journal article

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JO - I E E E Signal Processing Letters

JF - I E E E Signal Processing Letters

IS - 4

ER -

Low-Complexity MMSE Precoding for Coordinated Multipoint with Per-Antenna Power Constraint

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