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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.
Conggai LI
Shanghai Maritime University
Xuan GENG
Shanghai Maritime University
Feng LIU
Shanghai Maritime University
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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 -