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QoS-Constrained Robust Beamforming Design for MIMO Interference Channels with Bounded CSI Errors
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Summary :
Constrained by quality-of-service (QoS), a robust transceiver design is proposed for multiple-input multiple-output (MIMO) interference channels with imperfect channel state information (CSI) under bounded error model. The QoS measurement is represented as the signal-to-interference-plus-noise ratio (SINR) for each user with single data stream. The problem is formulated as sum power minimization to reduce the total power consumption for energy efficiency. In a centralized manner, alternating optimization is performed at each node. For fixed transmitters, closed-form expression for the receive beamforming vectors is deduced. And for fixed receivers, the sum-power minimization problem is recast as a semi-definite program form with linear matrix inequalities constraints. Simulation results demonstrate the convergence and robustness of the proposed algorithm, which is important for practical applications in future wireless networks.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E102-A No.10 pp.1426-1430
- Publication Date
- 2019/10/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E102.A.1426
- Type of Manuscript
- LETTER
- Category
- Communication Theory and Signals
Authors
Conggai LI
Shanghai Maritime University
Xuan GENG
Shanghai Maritime University
Feng LIU
Shanghai Maritime University
Keyword
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Conggai LI, Xuan GENG, Feng LIU, "QoS-Constrained Robust Beamforming Design for MIMO Interference Channels with Bounded CSI Errors" in IEICE TRANSACTIONS on Fundamentals,
vol. E102-A, no. 10, pp. 1426-1430, October 2019, doi: 10.1587/transfun.E102.A.1426.
Abstract: Constrained by quality-of-service (QoS), a robust transceiver design is proposed for multiple-input multiple-output (MIMO) interference channels with imperfect channel state information (CSI) under bounded error model. The QoS measurement is represented as the signal-to-interference-plus-noise ratio (SINR) for each user with single data stream. The problem is formulated as sum power minimization to reduce the total power consumption for energy efficiency. In a centralized manner, alternating optimization is performed at each node. For fixed transmitters, closed-form expression for the receive beamforming vectors is deduced. And for fixed receivers, the sum-power minimization problem is recast as a semi-definite program form with linear matrix inequalities constraints. Simulation results demonstrate the convergence and robustness of the proposed algorithm, which is important for practical applications in future wireless networks.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E102.A.1426/_p
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@ARTICLE{e102-a_10_1426,
author={Conggai LI, Xuan GENG, Feng LIU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={QoS-Constrained Robust Beamforming Design for MIMO Interference Channels with Bounded CSI Errors},
year={2019},
volume={E102-A},
number={10},
pages={1426-1430},
abstract={Constrained by quality-of-service (QoS), a robust transceiver design is proposed for multiple-input multiple-output (MIMO) interference channels with imperfect channel state information (CSI) under bounded error model. The QoS measurement is represented as the signal-to-interference-plus-noise ratio (SINR) for each user with single data stream. The problem is formulated as sum power minimization to reduce the total power consumption for energy efficiency. In a centralized manner, alternating optimization is performed at each node. For fixed transmitters, closed-form expression for the receive beamforming vectors is deduced. And for fixed receivers, the sum-power minimization problem is recast as a semi-definite program form with linear matrix inequalities constraints. Simulation results demonstrate the convergence and robustness of the proposed algorithm, which is important for practical applications in future wireless networks.},
keywords={},
doi={10.1587/transfun.E102.A.1426},
ISSN={1745-1337},
month={October},}
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TY - JOUR
TI - QoS-Constrained Robust Beamforming Design for MIMO Interference Channels with Bounded CSI Errors
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1426
EP - 1430
AU - Conggai LI
AU - Xuan GENG
AU - Feng LIU
PY - 2019
DO - 10.1587/transfun.E102.A.1426
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E102-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2019
AB - Constrained by quality-of-service (QoS), a robust transceiver design is proposed for multiple-input multiple-output (MIMO) interference channels with imperfect channel state information (CSI) under bounded error model. The QoS measurement is represented as the signal-to-interference-plus-noise ratio (SINR) for each user with single data stream. The problem is formulated as sum power minimization to reduce the total power consumption for energy efficiency. In a centralized manner, alternating optimization is performed at each node. For fixed transmitters, closed-form expression for the receive beamforming vectors is deduced. And for fixed receivers, the sum-power minimization problem is recast as a semi-definite program form with linear matrix inequalities constraints. Simulation results demonstrate the convergence and robustness of the proposed algorithm, which is important for practical applications in future wireless networks.
ER -
English
