TY - JOUR
T1 - Robust transceiver designs in multiuser MISO broadcasting with simultaneous wireless information and power transmission
AU - Zhu, Zhengyu
AU - Wang, Zhongyong
AU - Lee, Kyoung Jae
AU - Chu, Zheng
AU - Lee, Inkyu
N1 - Funding Information:
This work was supported in part by the the China National 863 Project (2014AA01A705), the National Nature Science Foundation of China under grant (61571402, 61571401, 61401401, 61301150, 61501404, U1204607), Specialized Research Fund for the Doctoral Program of Higher Education (SRFDP): 20134101120001; Outstanding Young Talent Research Fund of Zhengzhou University (1521318003), the China Postdoctoral Science Foundation (2015T80779), and by the National Research Foundation of Korea (NRF) funded by the Korea Government (MSIP) under Grant 2014R1A2A1A10049769.
Publisher Copyright:
© 2011 KICS.
Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2016/4
Y1 - 2016/4
N2 - In this paper, we address a new robust optimization problem in a multiuser multiple-input single-output broadcasting system with simultaneous wireless information and power transmission, where a multi-antenna base station (BS) sends energy and information simultaneously to multiple users equipped with a single antenna. Assuming that perfect channel-state information (CSI) for all channels is not available at the BS, the uncertainty of the CSI is modeled by an Euclidean ball-shaped uncertainty set. To optimally design transmit beamforming weights and receive power splitting, an average total transmit power minimization problem is investigated subject to the individual harvested power constraint and the received signal-to-interference-plus-noise ratio constraint at each user. Due to the channel uncertainty, the original problem becomes a homogeneous quadratically constrained quadratic problem, which is NP-hard. The original design problem is reformulated to a relaxed semidefinite program, and then two different approaches based on convex programming are proposed, which can be solved efficiently by the interior point algorithm. Numerical results are provided to validate the robustness of the proposed algorithms.
AB - In this paper, we address a new robust optimization problem in a multiuser multiple-input single-output broadcasting system with simultaneous wireless information and power transmission, where a multi-antenna base station (BS) sends energy and information simultaneously to multiple users equipped with a single antenna. Assuming that perfect channel-state information (CSI) for all channels is not available at the BS, the uncertainty of the CSI is modeled by an Euclidean ball-shaped uncertainty set. To optimally design transmit beamforming weights and receive power splitting, an average total transmit power minimization problem is investigated subject to the individual harvested power constraint and the received signal-to-interference-plus-noise ratio constraint at each user. Due to the channel uncertainty, the original problem becomes a homogeneous quadratically constrained quadratic problem, which is NP-hard. The original design problem is reformulated to a relaxed semidefinite program, and then two different approaches based on convex programming are proposed, which can be solved efficiently by the interior point algorithm. Numerical results are provided to validate the robustness of the proposed algorithms.
KW - Energy harvesting
KW - multiuser multiple-input single-output (MISO) broadcasting
KW - robust transceiver design
KW - simultaneous wireless information and power transmission
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U2 - 10.1109/JCN.2016.000026
DO - 10.1109/JCN.2016.000026
M3 - Article
AN - SCOPUS:84976545140
VL - 18
SP - 173
EP - 181
JO - Journal of Communications and Networks
JF - Journal of Communications and Networks
SN - 1229-2370
IS - 2
M1 - 7487974
ER -