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dc.contributor.authorLi, Bin
dc.contributor.authorZhang, M.
dc.contributor.authorRong, Yue
dc.contributor.authorHan, Z.
dc.date.accessioned2022-07-17T08:19:33Z
dc.date.available2022-07-17T08:19:33Z
dc.date.issued2021
dc.identifier.citationLi, B. and Zhang, M. and Rong, Y. and Han, Z. 2021. Artificial Noise-Aided Secure Relay Communication with Unknown Channel Knowledge of Eavesdropper. IEEE Transactions on Wireless Communications. 20 (5): pp. 3168-3179.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/88930
dc.identifier.doi10.1109/TWC.2020.3047926
dc.description.abstract

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.

dc.languageEnglish
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.subjectScience & Technology
dc.subjectTechnology
dc.subjectEngineering, Electrical & Electronic
dc.subjectTelecommunications
dc.subjectEngineering
dc.subjectRelays
dc.subjectJamming
dc.subjectWireless communication
dc.subjectSecurity
dc.subjectOptimization
dc.subjectPhysical layer security
dc.subjectMIMO communication
dc.subjectSecure communication
dc.subjectamplify-and-forward relay
dc.subjectartificial noise
dc.subjectPHYSICAL LAYER SECURITY
dc.subjectPENALTY-FUNCTION METHOD
dc.subjectSECRECY
dc.subjectTRANSMISSION
dc.subjectCOOPERATION
dc.titleArtificial Noise-Aided Secure Relay Communication with Unknown Channel Knowledge of Eavesdropper
dc.typeJournal Article
dcterms.source.volume20
dcterms.source.number5
dcterms.source.startPage3168
dcterms.source.endPage3179
dcterms.source.issn1536-1276
dcterms.source.titleIEEE Transactions on Wireless Communications
dc.date.updated2022-07-17T08:19:18Z
curtin.note

© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

curtin.departmentSchool of Elec Eng, Comp and Math Sci (EECMS)
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidRong, Yue [0000-0002-5831-7479]
dcterms.source.eissn1558-2248
curtin.contributor.scopusauthoridRong, Yue [10044788600]
curtin.contributor.scopusauthoridLi, Bin [57129085200]
curtin.contributor.scopusauthoridLi, Bin [57129085200]


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