Artificial Noise-Aided Secure Relay Communication with Unknown Channel Knowledge of Eavesdropper
In this article, a new relay-aided secure communication system is investigated, where a transmitter sends signals to a destination via an amplify-and-forward (AF) relay in the presence of an eavesdropper. We consider a general system configuration, where the source, relay, destination, and eavesdrop...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
2021
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/88930 |
| _version_ | 1848765116646948864 |
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| author | Li, Bin Zhang, M. Rong, Yue Han, Z. |
| author_facet | Li, Bin Zhang, M. Rong, Yue Han, Z. |
| author_sort | Li, Bin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this article, a new relay-aided secure communication system is investigated, where a transmitter sends signals to a destination via an amplify-and-forward (AF) relay in the presence of an eavesdropper. We consider a general system configuration, where the source, relay, destination, and eavesdropper are all equipped with multiple antennas. In the practical scenarios of unknown eavesdropper's channel state information (CSI) and uncertainty of the eavesdropper's location, we aim to maximize the expected value of the system secrecy rate over the presumed distribution of the eavesdropper's channels, by exploiting the artificial noise (AN) transmitted by the source and relay nodes. The system design issue is formulated as a nonconvex stochastic optimization problem with a source transmission power constraint and a nonconvex relay transmission power constraint. A novel computational method is proposed to solve this challenging problem. The new method is developed based on an exact penalty function method together with a parallel stochastic decomposition algorithm. Numerical simulations are performed to study the effectiveness of the proposed scheme at various locations of the eavesdropper. Simulation results show that for most cases, secure communication can be achieved without the CSI knowledge of eavesdropper's channels, and the achievable secrecy rate follows the trend of a benchmark system where the eavesdropper's full CSI is available. In particular, the achievable system secrecy rate increases with the number of antennas at the legitimate users. Moreover, the optimal power allocated for the transmission of the AN increases with the system signal-to-noise ratio. The proposed computational method achieves a higher system secrecy rate than a conventional penalty function based approach. |
| first_indexed | 2025-11-14T11:30:08Z |
| format | Journal Article |
| id | curtin-20.500.11937-88930 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:30:08Z |
| publishDate | 2021 |
| publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-889302022-08-05T04:59:26Z Artificial Noise-Aided Secure Relay Communication with Unknown Channel Knowledge of Eavesdropper Li, Bin Zhang, M. Rong, Yue Han, Z. Science & Technology Technology Engineering, Electrical & Electronic Telecommunications Engineering Relays Jamming Wireless communication Security Optimization Physical layer security MIMO communication Secure communication amplify-and-forward relay artificial noise PHYSICAL LAYER SECURITY PENALTY-FUNCTION METHOD SECRECY TRANSMISSION COOPERATION In this article, a new relay-aided secure communication system is investigated, where a transmitter sends signals to a destination via an amplify-and-forward (AF) relay in the presence of an eavesdropper. We consider a general system configuration, where the source, relay, destination, and eavesdropper are all equipped with multiple antennas. In the practical scenarios of unknown eavesdropper's channel state information (CSI) and uncertainty of the eavesdropper's location, we aim to maximize the expected value of the system secrecy rate over the presumed distribution of the eavesdropper's channels, by exploiting the artificial noise (AN) transmitted by the source and relay nodes. The system design issue is formulated as a nonconvex stochastic optimization problem with a source transmission power constraint and a nonconvex relay transmission power constraint. A novel computational method is proposed to solve this challenging problem. The new method is developed based on an exact penalty function method together with a parallel stochastic decomposition algorithm. Numerical simulations are performed to study the effectiveness of the proposed scheme at various locations of the eavesdropper. Simulation results show that for most cases, secure communication can be achieved without the CSI knowledge of eavesdropper's channels, and the achievable secrecy rate follows the trend of a benchmark system where the eavesdropper's full CSI is available. In particular, the achievable system secrecy rate increases with the number of antennas at the legitimate users. Moreover, the optimal power allocated for the transmission of the AN increases with the system signal-to-noise ratio. The proposed computational method achieves a higher system secrecy rate than a conventional penalty function based approach. 2021 Journal Article http://hdl.handle.net/20.500.11937/88930 10.1109/TWC.2020.3047926 English IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC fulltext |
| spellingShingle | Science & Technology Technology Engineering, Electrical & Electronic Telecommunications Engineering Relays Jamming Wireless communication Security Optimization Physical layer security MIMO communication Secure communication amplify-and-forward relay artificial noise PHYSICAL LAYER SECURITY PENALTY-FUNCTION METHOD SECRECY TRANSMISSION COOPERATION Li, Bin Zhang, M. Rong, Yue Han, Z. Artificial Noise-Aided Secure Relay Communication with Unknown Channel Knowledge of Eavesdropper |
| title | Artificial Noise-Aided Secure Relay Communication with Unknown Channel Knowledge of Eavesdropper |
| title_full | Artificial Noise-Aided Secure Relay Communication with Unknown Channel Knowledge of Eavesdropper |
| title_fullStr | Artificial Noise-Aided Secure Relay Communication with Unknown Channel Knowledge of Eavesdropper |
| title_full_unstemmed | Artificial Noise-Aided Secure Relay Communication with Unknown Channel Knowledge of Eavesdropper |
| title_short | Artificial Noise-Aided Secure Relay Communication with Unknown Channel Knowledge of Eavesdropper |
| title_sort | artificial noise-aided secure relay communication with unknown channel knowledge of eavesdropper |
| topic | Science & Technology Technology Engineering, Electrical & Electronic Telecommunications Engineering Relays Jamming Wireless communication Security Optimization Physical layer security MIMO communication Secure communication amplify-and-forward relay artificial noise PHYSICAL LAYER SECURITY PENALTY-FUNCTION METHOD SECRECY TRANSMISSION COOPERATION |
| url | http://hdl.handle.net/20.500.11937/88930 |