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dc.contributor.authorSiyari, Peyman
dc.contributor.authorKrunz, Marwan
dc.date.accessioned2020-01-13T19:53:16Z
dc.date.available2020-01-13T19:53:16Z
dc.date.issued2019-06
dc.identifier.citationSiyari, P., & Krunz, M. (2019, June). Linear precoding with friendly jamming in overloaded MU-MIMO wiretap networks. In 2019 IEEE Conference on Communications and Network Security (CNS) (pp. 1-5). IEEE.en_US
dc.identifier.issn2474-025X
dc.identifier.doi10.1109/cns.2019.8802693
dc.identifier.urihttp://hdl.handle.net/10150/636460
dc.description.abstractWe consider the downlink of a multiuser MIMO (MU-MIMO) network in the presence of an external eavesdropper (Eve). No knowledge of Eve’s location is assumed at the access point (Alice). The information signals for downlink users (Bobs) are accompanied by bogus signals (a.k.a. friendly jamming) that are generated from Alice. The network is studied in underloaded and overloaded conditions. In an underloaded (overloaded) network, the number of antennas at Alice is larger (smaller) than the total number of Bobs’ antennas. In the overloaded setting, traditional methods of creating friendly jamming (FJ), such as zero-forcing-based methods, are infeasible. We propose a linear precoding scheme that relaxes such infeasibility in overloaded MU-MIMO networks. In the worst-case scenario where Eve has knowledge of the channels between Alice and Bobs, we show that our method imposes the most stringent condition on the number of antennas required at Eve to cancel out FJ signals. We verify our analysis with simulations. It turns out that choosing the number of data streams has an important role in achieving a tradeoff between security, reliability, and the achievable rate.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2019 IEEEen_US
dc.subjectMultiuser MIMOen_US
dc.subjectlinear precodingen_US
dc.subjectphysical-layer securityen_US
dc.subjectfriendly jammingen_US
dc.titleLinear Precoding with Friendly Jamming in Overloaded MU-MIMO Wiretap Networksen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Dept Elect & Comp Engnen_US
dc.identifier.journalIEEE Conference on Communications and Network Securityen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal accepted manuscripten_US
refterms.dateFOA2020-01-13T19:53:17Z


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