TY - GEN
T1 - Robust precoding methods for multiuser MISO wireless energy harvesting systems
AU - Zhu, Zhengyu
AU - Lee, Kyoung Jae
AU - Wang, Zhongyong
AU - Chu, Zheng
AU - Lee, Inkyu
N1 - Funding Information:
This work was supported in part by the National High Technology Research and Development Program "863" of China (2014AA01A705), the National Nature Science Foundation of China under grant 61172086, U1204607, 61201251, the postgraduate self-innovation program of ZZU (14LF00608Z), and supported in part through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (NRF-2013R1A1A1060503, NRF-2014K1A3A1A09063284, and 2014R1A2A1A10049769).
Publisher Copyright:
© 2015 IEEE.
PY - 2016/1/25
Y1 - 2016/1/25
N2 - We address a new robust optimization problem in a multiuser multiple-input single-output broadcasting system with simultaneous wireless information and power transmission. 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 norm-bounded 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. 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. Interestingly, we show that the semidefinite relaxation (SDR) is tight. Numerical results are provided to validate the robustness of the proposed algorithms.
AB - We address a new robust optimization problem in a multiuser multiple-input single-output broadcasting system with simultaneous wireless information and power transmission. 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 norm-bounded 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. 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. Interestingly, we show that the semidefinite relaxation (SDR) is tight. Numerical results are provided to validate the robustness of the proposed algorithms.
UR - http://www.scopus.com/inward/record.url?scp=84964453453&partnerID=8YFLogxK
U2 - 10.1109/VTCFall.2015.7391121
DO - 10.1109/VTCFall.2015.7391121
M3 - Conference contribution
AN - SCOPUS:84964453453
T3 - 2015 IEEE 82nd Vehicular Technology Conference, VTC Fall 2015 - Proceedings
BT - 2015 IEEE 82nd Vehicular Technology Conference, VTC Fall 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 82nd IEEE Vehicular Technology Conference, VTC Fall 2015
Y2 - 6 September 2015 through 9 September 2015
ER -