Robust Beamforming Design for MISO Secrecy Multicasting Systems with Energy Harvesting
In this paper, we study simultaneous wireless information and power transfer (SWIPT) for multiuser multiple-input- single-output (MISO) secrecy multicasting channels with imperfect channel state information. First, a robust secure beamfoming design is considered, where the transmit power is minimize...
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| Published in: | 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring) pp. 1 - 5 |
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| Format: | Conference Proceeding |
| Language: | English |
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01.05.2016
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| Abstract | In this paper, we study simultaneous wireless information and power transfer (SWIPT) for multiuser multiple-input- single-output (MISO) secrecy multicasting channels with imperfect channel state information. First, a robust secure beamfoming design is considered, where the transmit power is minimized 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 utilizing Bernstein-type inequalities, we transform the outage constraints into the deterministic forms. In order to identify a local optimal rank-one solution, we 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 our proposed design methods. |
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| AbstractList | In this paper, we study simultaneous wireless information and power transfer (SWIPT) for multiuser multiple-input- single-output (MISO) secrecy multicasting channels with imperfect channel state information. First, a robust secure beamfoming design is considered, where the transmit power is minimized 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 utilizing Bernstein-type inequalities, we transform the outage constraints into the deterministic forms. In order to identify a local optimal rank-one solution, we 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 our proposed design methods. |
| Author | Zhengyu Zhu Zhongyong Wang Inkyu Lee Zheng Chu |
| Author_xml | – sequence: 1 surname: Zhengyu Zhu fullname: Zhengyu Zhu email: zhuzhengyu6@gmail.com organization: Sch. of Inf. Eng., Zhengzhou Univ., Zhengzhou, China – sequence: 2 surname: Zheng Chu fullname: Zheng Chu email: z.chu@newcastle.ac.uk organization: Sch. of Electr. & Electron. Eng., Newcastle Univ., Newcastle upon Tyne, UK – sequence: 3 surname: Zhongyong Wang fullname: Zhongyong Wang email: iezywang@zzu.edu.cn organization: Sch. of Inf. Eng., Zhengzhou Univ., Zhengzhou, China – sequence: 4 surname: Inkyu Lee fullname: Inkyu Lee email: inkyu@korea.ac.kr organization: Sch. of Electr. Eng., Korea Univ., Seoul, South Korea |
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| Snippet | In this paper, we study simultaneous wireless information and power transfer (SWIPT) for multiuser multiple-input- single-output (MISO) secrecy multicasting... |
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| SubjectTerms | Array signal processing MISO Multicast communication Receivers Robustness Transmitters Uncertainty |
| Title | Robust Beamforming Design for MISO Secrecy Multicasting Systems with Energy Harvesting |
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