Secrecy rate maximization in a cognitive radio network with artificial noise aided for MISO multi-eves
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nguyen, V.-D. | - |
dc.contributor.author | Duong, T.Q. | - |
dc.contributor.author | Dobre, O.A. | - |
dc.contributor.author | Shin, O.-S. | - |
dc.date.available | 2019-04-10T10:00:20Z | - |
dc.date.created | 2018-09-12 | - |
dc.date.issued | 2016-06 | - |
dc.identifier.isbn | 9781479966646 | - |
dc.identifier.issn | 1938-1883 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/32547 | - |
dc.description.abstract | In this paper, we consider beamforming design for an underlay cognitive radio multiple-input single-output broadcast channel, where a pair of secondary users coexists with multiple primary receivers. There exist multiple malicious eavesdroppers who attempt to overhear the confidential messages from the secondary system. When the channel state information of the eavesdroppers can only be obtained in the statistical sense, we transform the constraint which results from the statistical information of the passive eavesdroppers into a linear matrix inequality and convex constraint. To improve the secrecy rate of the secondary system, we aim to design a jamming noise to degrade the eavesdroppers. The main objective of the design is to maximize the secrecy rate of the secondary system while satisfying all the interference power constraints at the primary users and per-antenna power constraint at the secondary transmitter. The original problem is a nonconvex program, which can be reformulated to a convex program by applying the rank relaxation method. To this end, we prove that the rank relaxation is tight and it can be efficiently solved. Moreover, to develop an efficient resource allocation scheme we transform the relaxed problem into an equivalent problem based on a duality result. © 2016 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.relation.isPartOf | 2016 IEEE International Conference on Communications, ICC 2016 | - |
dc.title | Secrecy rate maximization in a cognitive radio network with artificial noise aided for MISO multi-eves | - |
dc.type | Conference | - |
dc.identifier.doi | 10.1109/ICC.2016.7511333 | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | 2016 IEEE International Conference on Communications, ICC 2016 | - |
dc.description.journalClass | 2 | - |
dc.identifier.scopusid | 2-s2.0-84981294956 | - |
dc.citation.conferenceDate | 2016-05-22 | - |
dc.citation.conferencePlace | US | - |
dc.citation.title | 2016 IEEE International Conference on Communications, ICC 2016 | - |
dc.contributor.affiliatedAuthor | Shin, O.-S. | - |
dc.type.docType | Conference Paper | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Soongsil University Library 369 Sangdo-Ro, Dongjak-Gu, Seoul, Korea (06978)02-820-0733
COPYRIGHT ⓒ SOONGSIL UNIVERSITY, ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.