Beamforming for per-antenna power constrained downlink SINR optimization

Tai Liu; Songtao Lu; Meng Zheng

doi:10.1109/VETECS.2010.5493618

Beamforming for per-antenna power constrained downlink SINR optimization

Tai Liu, Songtao Lu, Meng Zheng

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Most of previous researches in Multiple-Input- Multiple-Output (MIMO) downlink beamforming based on uplink-downlink duality assume sum power constraints. However, the powers of antennas are limited individually in realistic implementations. Per-antenna power constrains are considered in this paper. In the uplink-downlink duality, it is shown the noise power at uplink receive antennas are dual to the weights of downlink transmit antenna powers. Therefore, the noise vector can be applied to adjust transmit antenna powers. Uplink-downlink duality and the noise vector controlled scheme are adopted to update beamformers to optimize the SINR vector. Though the problem is nonconvex, the proposed algorithm could converge to a sub optimal local solution. Simulations show the algorithm effectively control antenna powers during the optimization.

Original language	English (US)
Title of host publication	2010 IEEE 71st Vehicular Technology
DOIs	https://doi.org/10.1109/VETECS.2010.5493618
State	Published - Jul 30 2010
Event	2010 IEEE 71st Vehicular Technology Conference, VTC 2010-Spring - Taipei, Taiwan, Province of China Duration: May 16 2010 → May 19 2010

Publication series

Name	IEEE Vehicular Technology Conference
ISSN (Print)	1550-2252

Other

Other	2010 IEEE 71st Vehicular Technology Conference, VTC 2010-Spring
Country	Taiwan, Province of China
City	Taipei
Period	5/16/10 → 5/19/10

Access

10.1109/VETECS.2010.5493618

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Cite this

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title = "Beamforming for per-antenna power constrained downlink SINR optimization",

abstract = "Most of previous researches in Multiple-Input- Multiple-Output (MIMO) downlink beamforming based on uplink-downlink duality assume sum power constraints. However, the powers of antennas are limited individually in realistic implementations. Per-antenna power constrains are considered in this paper. In the uplink-downlink duality, it is shown the noise power at uplink receive antennas are dual to the weights of downlink transmit antenna powers. Therefore, the noise vector can be applied to adjust transmit antenna powers. Uplink-downlink duality and the noise vector controlled scheme are adopted to update beamformers to optimize the SINR vector. Though the problem is nonconvex, the proposed algorithm could converge to a sub optimal local solution. Simulations show the algorithm effectively control antenna powers during the optimization.",

author = "Tai Liu and Songtao Lu and Meng Zheng",

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AU - Lu, Songtao

AU - Zheng, Meng

PY - 2010/7/30

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N2 - Most of previous researches in Multiple-Input- Multiple-Output (MIMO) downlink beamforming based on uplink-downlink duality assume sum power constraints. However, the powers of antennas are limited individually in realistic implementations. Per-antenna power constrains are considered in this paper. In the uplink-downlink duality, it is shown the noise power at uplink receive antennas are dual to the weights of downlink transmit antenna powers. Therefore, the noise vector can be applied to adjust transmit antenna powers. Uplink-downlink duality and the noise vector controlled scheme are adopted to update beamformers to optimize the SINR vector. Though the problem is nonconvex, the proposed algorithm could converge to a sub optimal local solution. Simulations show the algorithm effectively control antenna powers during the optimization.

AB - Most of previous researches in Multiple-Input- Multiple-Output (MIMO) downlink beamforming based on uplink-downlink duality assume sum power constraints. However, the powers of antennas are limited individually in realistic implementations. Per-antenna power constrains are considered in this paper. In the uplink-downlink duality, it is shown the noise power at uplink receive antennas are dual to the weights of downlink transmit antenna powers. Therefore, the noise vector can be applied to adjust transmit antenna powers. Uplink-downlink duality and the noise vector controlled scheme are adopted to update beamformers to optimize the SINR vector. Though the problem is nonconvex, the proposed algorithm could converge to a sub optimal local solution. Simulations show the algorithm effectively control antenna powers during the optimization.

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