Robust AN-Aided Beamforming Design for Secure MISO Cognitive Radio Based on a Practical Nonlinear EH Model
Energy harvesting techniques are promising in next generation wireless communication systems. However, most of the existing works are based on an ideal linear energy harvesting model. In this paper, a multiple-input single-output cognitive radio network is studied under a practical non-linear energy...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2017-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/7992994/ |
| _version_ | 1818332013446299648 |
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| author | Yangchao Huang Zan Li Fuhui Zhou Rui Zhu |
| author_facet | Yangchao Huang Zan Li Fuhui Zhou Rui Zhu |
| author_sort | Yangchao Huang |
| collection | DOAJ |
| description | Energy harvesting techniques are promising in next generation wireless communication systems. However, most of the existing works are based on an ideal linear energy harvesting model. In this paper, a multiple-input single-output cognitive radio network is studied under a practical non-linear energy harvesting model. In order to improve the security of both the primary network and the secondary network, a cooperative jamming scheme is proposed. A robust artificial noise aided beamforming design problem is formulated under the bounded channel state information error model. The formulated problem is non-convex and challenging to be solved. Using S-Procedure and the semidefinite relaxation method, a suboptimal beamforming can be obtained. Simulation results show that the performance achieved under the non-linear energy harvesting model may be better than that obtained under the linear energy harvesting model. It is also shown that the cooperation between the primary network and the secondary network can obtain a performance gain compared with that without this cooperation. |
| first_indexed | 2024-12-13T13:28:59Z |
| format | Article |
| id | doaj.art-bea7105ae16341d0a138b4b6ee2cb5da |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T13:28:59Z |
| publishDate | 2017-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-bea7105ae16341d0a138b4b6ee2cb5da2022-12-21T23:44:13ZengIEEEIEEE Access2169-35362017-01-015140111401910.1109/ACCESS.2017.27302207992994Robust AN-Aided Beamforming Design for Secure MISO Cognitive Radio Based on a Practical Nonlinear EH ModelYangchao Huang0https://orcid.org/0000-0002-4377-516XZan Li1Fuhui Zhou2Rui Zhu3State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, ChinaState Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, ChinaPostdoctoral Research Station of Environmental Science and Engineering, Nanchang University, Nanchang, ChinaInformation and Navigation College, Air Force Engineering University, Xi’an, ChinaEnergy harvesting techniques are promising in next generation wireless communication systems. However, most of the existing works are based on an ideal linear energy harvesting model. In this paper, a multiple-input single-output cognitive radio network is studied under a practical non-linear energy harvesting model. In order to improve the security of both the primary network and the secondary network, a cooperative jamming scheme is proposed. A robust artificial noise aided beamforming design problem is formulated under the bounded channel state information error model. The formulated problem is non-convex and challenging to be solved. Using S-Procedure and the semidefinite relaxation method, a suboptimal beamforming can be obtained. Simulation results show that the performance achieved under the non-linear energy harvesting model may be better than that obtained under the linear energy harvesting model. It is also shown that the cooperation between the primary network and the secondary network can obtain a performance gain compared with that without this cooperation.https://ieeexplore.ieee.org/document/7992994/Energy harvestingnon-linear energy harvesting modelphysical-layer secrecyrobust beamforming |
| spellingShingle | Yangchao Huang Zan Li Fuhui Zhou Rui Zhu Robust AN-Aided Beamforming Design for Secure MISO Cognitive Radio Based on a Practical Nonlinear EH Model IEEE Access Energy harvesting non-linear energy harvesting model physical-layer secrecy robust beamforming |
| title | Robust AN-Aided Beamforming Design for Secure MISO Cognitive Radio Based on a Practical Nonlinear EH Model |
| title_full | Robust AN-Aided Beamforming Design for Secure MISO Cognitive Radio Based on a Practical Nonlinear EH Model |
| title_fullStr | Robust AN-Aided Beamforming Design for Secure MISO Cognitive Radio Based on a Practical Nonlinear EH Model |
| title_full_unstemmed | Robust AN-Aided Beamforming Design for Secure MISO Cognitive Radio Based on a Practical Nonlinear EH Model |
| title_short | Robust AN-Aided Beamforming Design for Secure MISO Cognitive Radio Based on a Practical Nonlinear EH Model |
| title_sort | robust an aided beamforming design for secure miso cognitive radio based on a practical nonlinear eh model |
| topic | Energy harvesting non-linear energy harvesting model physical-layer secrecy robust beamforming |
| url | https://ieeexplore.ieee.org/document/7992994/ |
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