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For multiple-input multiple-output (MIMO) precoded transmission that has individual constraints on the maximum power of each transmit antenna or a subset of transmit antennas, the transmit power optimization problem is a non-linear convex optimization problem with a high level of computational complexity. In this paper, assuming the use of the interior point method (IPM) to solve this problem, we propose two efficient techniques that reduce the computational complexity of the IPM by appropriately setting its parameters. Based on computer simulation, the achieved reductions in the level of the computational complexity are evaluated using the proposed techniques for both the fairness and the sum-rate maximization criteria assuming i.i.d Rayleigh fading MIMO channels and block diagonalization zero-forcing as a multi-user MIMO (MU-MIMO) precoder.

- Publication
- IEICE TRANSACTIONS on Communications Vol.E93-B No.6 pp.1484-1493

- Publication Date
- 2010/06/01

- Publicized

- Online ISSN
- 1745-1345

- DOI
- 10.1587/transcom.E93.B.1484

- Type of Manuscript
- PAPER

- Category
- Wireless Communication Technologies

The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.

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Yusuke OHWATARI, Anass BENJEBBOUR, "Fast Interior Point Method for MIMO Transmit Power Optimization with Per-Antenna Power Constraints" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 6, pp. 1484-1493, June 2010, doi: 10.1587/transcom.E93.B.1484.

Abstract: For multiple-input multiple-output (MIMO) precoded transmission that has individual constraints on the maximum power of each transmit antenna or a subset of transmit antennas, the transmit power optimization problem is a non-linear convex optimization problem with a high level of computational complexity. In this paper, assuming the use of the interior point method (IPM) to solve this problem, we propose two efficient techniques that reduce the computational complexity of the IPM by appropriately setting its parameters. Based on computer simulation, the achieved reductions in the level of the computational complexity are evaluated using the proposed techniques for both the fairness and the sum-rate maximization criteria assuming i.i.d Rayleigh fading MIMO channels and block diagonalization zero-forcing as a multi-user MIMO (MU-MIMO) precoder.

URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.1484/_p

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@ARTICLE{e93-b_6_1484,

author={Yusuke OHWATARI, Anass BENJEBBOUR, },

journal={IEICE TRANSACTIONS on Communications},

title={Fast Interior Point Method for MIMO Transmit Power Optimization with Per-Antenna Power Constraints},

year={2010},

volume={E93-B},

number={6},

pages={1484-1493},

abstract={For multiple-input multiple-output (MIMO) precoded transmission that has individual constraints on the maximum power of each transmit antenna or a subset of transmit antennas, the transmit power optimization problem is a non-linear convex optimization problem with a high level of computational complexity. In this paper, assuming the use of the interior point method (IPM) to solve this problem, we propose two efficient techniques that reduce the computational complexity of the IPM by appropriately setting its parameters. Based on computer simulation, the achieved reductions in the level of the computational complexity are evaluated using the proposed techniques for both the fairness and the sum-rate maximization criteria assuming i.i.d Rayleigh fading MIMO channels and block diagonalization zero-forcing as a multi-user MIMO (MU-MIMO) precoder.},

keywords={},

doi={10.1587/transcom.E93.B.1484},

ISSN={1745-1345},

month={June},}

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TY - JOUR

TI - Fast Interior Point Method for MIMO Transmit Power Optimization with Per-Antenna Power Constraints

T2 - IEICE TRANSACTIONS on Communications

SP - 1484

EP - 1493

AU - Yusuke OHWATARI

AU - Anass BENJEBBOUR

PY - 2010

DO - 10.1587/transcom.E93.B.1484

JO - IEICE TRANSACTIONS on Communications

SN - 1745-1345

VL - E93-B

IS - 6

JA - IEICE TRANSACTIONS on Communications

Y1 - June 2010

AB - For multiple-input multiple-output (MIMO) precoded transmission that has individual constraints on the maximum power of each transmit antenna or a subset of transmit antennas, the transmit power optimization problem is a non-linear convex optimization problem with a high level of computational complexity. In this paper, assuming the use of the interior point method (IPM) to solve this problem, we propose two efficient techniques that reduce the computational complexity of the IPM by appropriately setting its parameters. Based on computer simulation, the achieved reductions in the level of the computational complexity are evaluated using the proposed techniques for both the fairness and the sum-rate maximization criteria assuming i.i.d Rayleigh fading MIMO channels and block diagonalization zero-forcing as a multi-user MIMO (MU-MIMO) precoder.

ER -