Robust beamforming design for multiple-input–single-output secrecy multicasting systems with simultaneous wireless information and power transmission
In this study, the authors study simultaneous wireless information and power transfer for multiuser multiple-input–single-output secure multicasting channels with imperfect channel state information. First, a robust secure beamforming design is considered, where the transmit power is minimised subje...
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| Published in: | IET communications Vol. 10; no. 15; pp. 1979 - 1985 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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The Institution of Engineering and Technology
13.10.2016
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| ISSN: | 1751-8628, 1751-8636 |
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| Abstract | In this study, the authors study simultaneous wireless information and power transfer for multiuser multiple-input–single-output secure multicasting channels with imperfect channel state information. First, a robust secure beamforming design is considered, where the transmit power is minimised subject to the secrecy rate outage probability constraint for legitimate users and the harvested energy outage probability constraint for energy harvesting receivers. The original problem is non-convex due to the presence of the probabilistic constraints. By utilising Bernstein-type inequalities, the authors transform the outage constraints into the deterministic forms. In order to identify a local optimal rank-one solution, the authors propose an efficient approach based on a constrained concave convex procedure method to convert the original problem into a sequence of convex programming problems. Finally, simulation results are provided to validate the performance of the proposed design methods. |
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| AbstractList | In this study, the authors study simultaneous wireless information and power transfer for multiuser multiple‐input–single‐output secure multicasting channels with imperfect channel state information. First, a robust secure beamforming design is considered, where the transmit power is minimised subject to the secrecy rate outage probability constraint for legitimate users and the harvested energy outage probability constraint for energy harvesting receivers. The original problem is non‐convex due to the presence of the probabilistic constraints. By utilising Bernstein‐type inequalities, the authors transform the outage constraints into the deterministic forms. In order to identify a local optimal rank‐one solution, the authors propose an efficient approach based on a constrained concave convex procedure method to convert the original problem into a sequence of convex programming problems. Finally, simulation results are provided to validate the performance of the proposed design methods. |
| Author | Zhu, Zhengyu Wang, Zhongyong Chu, Zheng Cui, Jianhua |
| Author_xml | – sequence: 1 givenname: Zhengyu surname: Zhu fullname: Zhu, Zhengyu email: zhuzhengyu6@gmail.com organization: 1School of Information Engineering, Zhengzhou University, Zhengzhou, People's Republic of China – sequence: 2 givenname: Zheng surname: Chu fullname: Chu, Zheng organization: 2School of Electrical and Electronic Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK – sequence: 3 givenname: Zhongyong surname: Wang fullname: Wang, Zhongyong organization: 1School of Information Engineering, Zhengzhou University, Zhengzhou, People's Republic of China – sequence: 4 givenname: Jianhua surname: Cui fullname: Cui, Jianhua organization: 3School of Physical and Electronic Information, Luoyang Normal University, Luoyang, People's Republic of China |
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| Cites_doi | 10.1109/TWC.2015.2427168 10.1109/TSP.2007.897903 10.1109/TSP.2014.2354312 10.1109/TCOMM.2013.122013.130239 10.1109/TSP.2014.2303422 10.1109/VTCSpring.2015.7146114 10.1017/CBO9780511804441 10.1109/TWC.2014.2314654 10.1109/VTCFall.2015.7391121 10.1109/TVT.2014.2336092 10.1109/LSP.2014.2368695 10.1109/VTCSpring.2015.7146064 10.1109/MSP.2010.936019 10.1109/TSP.2014.2340817 10.1109/TCOMM.2015.2405063 10.1109/ISIT.2010.5513714 10.1109/TSP.2015.2477800 10.1109/TWC.2015.2395414 10.1109/ISIT.2008.4595260 10.1109/TVT.2014.2322076 10.1109/TWC.2011.093011.101386 |
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| Keywords | telecommunication security harvested energy outage probability constraint probability simultaneous wireless information-and-power transmission energy harvesting convex programming multiple-input-single-output secrecy multicasting systems nonconvex problem constrained concave convex procedure method secrecy rate outage probability constraint Bernstein-type inequalities multiuser channels multiuser multiple-input-single-output secure multicasting channels multicast communication robust secure beamforming design local optimal rank-one solution convex programming problems wireless channels energy harvesting receivers concave programming imperfect channel state information array signal processing |
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| References | Chu, Z.; Cumanan, K.; Ding, Z. (C9) 2015; 64 Xu, J.; Liu, L.; Zhang, R. (C6) 2014; 62 Wang, K.-Y.; So, A.M.; Chang, T.-H. (C18) 2014; 62 Ng, D.W.K.; Lo, E.S.; Schober, R. (C13) 2014; 13 Liu, L.; Zhang, R.; Chua, K.C. (C10) 2014; 62 Luo, Z.-Q.; Ma, W.-K.; So, A.-C. (C17) 2010; 27 Feng, R.; Li, Q.; Zhang, Q. (C14) 2015; 64 Karipidis, E.; Sidiropoulos, N.D.; Luo, Z.-Q. (C24) 2007; 55 Wang, H.; Ma, S.; Ng, T.-S. (C23) 2011; 10 Tian, M.; Huang, X.; Zhang, Q. (C15) 2015; 22 Chu, Z.; Zhu, Z.; Johnston, M. (C4) 2015 Shi, Q.; Xu, W.; Wu, J. (C12) 2015; 14 Chu, Z.; Xing, H.; Johnston, M. (C19) Lee, H.; Lee, S.-R.; Lee, K.-J. (C5) 2015; 14 Xing, H.; Wong, K.-K.; Chu, Z. (C11) 2015; 63 Zhang, Q.; Huang, X.; Li, Q. (C16) 2015; 63 2015; 14 2010; 27 2010 2015; 64 2015; 63 2015; 22 2008 2014; 13 2011; 10 2015 2004 2014; 62 2007; 55 Chu Z. (e_1_2_9_5_1) 2015 e_1_2_9_11_1 e_1_2_9_22_1 e_1_2_9_10_1 e_1_2_9_21_1 e_1_2_9_13_1 e_1_2_9_24_1 e_1_2_9_12_1 e_1_2_9_23_1 e_1_2_9_8_1 e_1_2_9_7_1 e_1_2_9_6_1 e_1_2_9_4_1 e_1_2_9_3_1 e_1_2_9_2_1 e_1_2_9_9_1 e_1_2_9_15_1 e_1_2_9_14_1 e_1_2_9_25_1 e_1_2_9_17_1 e_1_2_9_16_1 e_1_2_9_19_1 Chu Z. (e_1_2_9_20_1) e_1_2_9_18_1 |
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| Snippet | In this study, the authors study simultaneous wireless information and power transfer for multiuser multiple-input–single-output secure multicasting channels... In this study, the authors study simultaneous wireless information and power transfer for multiuser multiple‐input–single‐output secure multicasting channels... In this study, the authors study simultaneous wireless information and power transfer for multiuser multiple-input-single-output secure multicasting channels... |
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| SubjectTerms | array signal processing Beamforming Bernstein‐type inequalities Channels concave programming constrained concave convex procedure method convex programming convex programming problems Design engineering Energy harvesting energy harvesting receivers harvested energy outage probability constraint imperfect channel state information local optimal rank‐one solution Mathematical programming multicast communication Multicasting multiple‐input‐single‐output secrecy multicasting systems multiuser channels multiuser multiple‐input‐single‐output secure multicasting channels nonconvex problem Outages probability Regular Papers robust secure beamforming design secrecy rate outage probability constraint Sequences simultaneous wireless information‐and‐power transmission telecommunication security wireless channels |
| Title | Robust beamforming design for multiple-input–single-output secrecy multicasting systems with simultaneous wireless information and power transmission |
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