IEICE TRANSACTIONS on Communications
Fast Interior Point Method for MIMO Transmit Power Optimization with Per-Antenna Power Constraints
Summary :
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
Authors
Keyword
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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 -
English
