Reduced complexity joint user and receive antenna selection algorithms for SLNR-based precoding in MU-MIMO systems

Piya Patcharamaneepakorn; A Doufexi; SMD Armour

doi:10.1109/VETECS.2012.6239974

Reduced complexity joint user and receive antenna selection algorithms for SLNR-based precoding in MU-MIMO systems

Piya Patcharamaneepakorn, A Doufexi, SMD Armour

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

7 Citations (Scopus)

Abstract

This paper investigates the user scheduling strategy of multi-user MIMO (MU-MIMO) systems using a transmit precoding scheme based on maximum signal to leakage and noise ratio (SLNR). When users are equipped with multiple antennas, joint user and receive antenna selection may be performed and is shown to potentially provide superior performance to user selection schemes where users utilise all available antennas, especially at high SNR. To overcome the impractical computational burden of exhaustive methods, two suboptimal algorithms are presented in this paper. The simulation results show that the proposed suboptimal algorithms perform very close to the exhaustive joint user and antenna selection algorithm.

Translated title of the contribution	Reduced complexity joint user and receive antenna selection algorithms for SLNR-based precoding in MU-MIMO systems
Original language	English
Title of host publication	IEEE VTC 2012 Spring, Yokohama, Japan
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	5
DOIs	https://doi.org/10.1109/VETECS.2012.6239974
Publication status	Published - May 2012

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title = "Reduced complexity joint user and receive antenna selection algorithms for SLNR-based precoding in MU-MIMO systems",

abstract = "This paper investigates the user scheduling strategy of multi-user MIMO (MU-MIMO) systems using a transmit precoding scheme based on maximum signal to leakage and noise ratio (SLNR). When users are equipped with multiple antennas, joint user and receive antenna selection may be performed and is shown to potentially provide superior performance to user selection schemes where users utilise all available antennas, especially at high SNR. To overcome the impractical computational burden of exhaustive methods, two suboptimal algorithms are presented in this paper. The simulation results show that the proposed suboptimal algorithms perform very close to the exhaustive joint user and antenna selection algorithm.",

author = "Piya Patcharamaneepakorn and A Doufexi and SMD Armour",

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doi = "10.1109/VETECS.2012.6239974",

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Reduced complexity joint user and receive antenna selection algorithms for SLNR-based precoding in MU-MIMO systems. / Patcharamaneepakorn, Piya; Doufexi, A ; Armour, SMD.

IEEE VTC 2012 Spring, Yokohama, Japan. Institute of Electrical and Electronics Engineers (IEEE), 2012.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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T1 - Reduced complexity joint user and receive antenna selection algorithms for SLNR-based precoding in MU-MIMO systems

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AU - Doufexi, A

AU - Armour, SMD

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N2 - This paper investigates the user scheduling strategy of multi-user MIMO (MU-MIMO) systems using a transmit precoding scheme based on maximum signal to leakage and noise ratio (SLNR). When users are equipped with multiple antennas, joint user and receive antenna selection may be performed and is shown to potentially provide superior performance to user selection schemes where users utilise all available antennas, especially at high SNR. To overcome the impractical computational burden of exhaustive methods, two suboptimal algorithms are presented in this paper. The simulation results show that the proposed suboptimal algorithms perform very close to the exhaustive joint user and antenna selection algorithm.

AB - This paper investigates the user scheduling strategy of multi-user MIMO (MU-MIMO) systems using a transmit precoding scheme based on maximum signal to leakage and noise ratio (SLNR). When users are equipped with multiple antennas, joint user and receive antenna selection may be performed and is shown to potentially provide superior performance to user selection schemes where users utilise all available antennas, especially at high SNR. To overcome the impractical computational burden of exhaustive methods, two suboptimal algorithms are presented in this paper. The simulation results show that the proposed suboptimal algorithms perform very close to the exhaustive joint user and antenna selection algorithm.

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DO - 10.1109/VETECS.2012.6239974

M3 - Conference Contribution (Conference Proceeding)

BT - IEEE VTC 2012 Spring, Yokohama, Japan

PB - Institute of Electrical and Electronics Engineers (IEEE)

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Reduced complexity joint user and receive antenna selection algorithms for SLNR-based precoding in MU-MIMO systems

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