DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Eunsung | ko |
dc.contributor.author | Oh, Mintaek | ko |
dc.contributor.author | Choi, Jinseok | ko |
dc.contributor.author | Park, Jeonghun | ko |
dc.contributor.author | Lee, Namyoon | ko |
dc.contributor.author | Al-Dhahir, Naofal | ko |
dc.date.accessioned | 2023-10-24T06:00:54Z | - |
dc.date.available | 2023-10-24T06:00:54Z | - |
dc.date.created | 2023-10-24 | - |
dc.date.issued | 2023-03 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON COMMUNICATIONS, v.71, no.3, pp.1564 - 1578 | - |
dc.identifier.issn | 0090-6778 | - |
dc.identifier.uri | http://hdl.handle.net/10203/313705 | - |
dc.description.abstract | Secure precoding superimposed with artificial noise (AN) is a promising transmission technique to improve security by harnessing the superposition nature of the wireless medium. However, finding a jointly optimal precoding and AN structure is very challenging in downlink multi-user multiple-input multiple-output wiretap channels with multiple eavesdroppers. The major challenge in maximizing the secrecy rate arises from the non-convexity and non-smoothness of the rate function. Traditionally, an alternating optimization framework that identifies beamforming vectors and AN covariance matrix has been adopted; yet this alternating approach has limitations in maximizing the secrecy rate. In this paper, we put forth a novel secure precoding algorithm that jointly and simultaneously optimizes the beams and AN covariance matrix for maximizing the secrecy rate when a transmitter has either perfect or partial channel knowledge of eavesdroppers. To this end, we first establish an approximate secrecy rate in a smooth function. Then, we derive the first-order optimality condition in the form of the nonlinear eigenvalue problem (NEP). We present a computationally efficient algorithm to identify the principal eigenvector of the NEP as a suboptimal solution for secure precoding. Simulations demonstrate that the proposed methods improve secrecy rate significantly compared to the existing methods. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Joint Precoding and Artificial Noise Design for MU-MIMO Wiretap Channels | - |
dc.type | Article | - |
dc.identifier.wosid | 001053380300024 | - |
dc.identifier.scopusid | 2-s2.0-85144786529 | - |
dc.type.rims | ART | - |
dc.citation.volume | 71 | - |
dc.citation.issue | 3 | - |
dc.citation.beginningpage | 1564 | - |
dc.citation.endingpage | 1578 | - |
dc.citation.publicationname | IEEE TRANSACTIONS ON COMMUNICATIONS | - |
dc.identifier.doi | 10.1109/tcomm.2022.3227284 | - |
dc.contributor.localauthor | Choi, Jinseok | - |
dc.contributor.nonIdAuthor | Choi, Eunsung | - |
dc.contributor.nonIdAuthor | Oh, Mintaek | - |
dc.contributor.nonIdAuthor | Park, Jeonghun | - |
dc.contributor.nonIdAuthor | Lee, Namyoon | - |
dc.contributor.nonIdAuthor | Al-Dhahir, Naofal | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Physical layer securitysecrecy ratesecure precodingartificial noise (AN)joint and simultaneous optimization | - |
dc.subject.keywordPlus | PHYSICAL LAYER SECURITYSECRECY RATE OPTIMIZATIONWIRELESS COMMUNICATIONSMASSIVE MIMONETWORKSSYSTEMSTRANSMISSIONMAXIMIZATIONCAPACITY | - |
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