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Security–Reliability Analysis of AF Full-Duplex Relay Networks Using Self-Energy Recycling and Deep...

Security–Reliability Analysis of AF Full-Duplex Relay Networks Using Self-Energy Recycling and Deep...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_82b95f2680714059a246fb67bd065e61

Security–Reliability Analysis of AF Full-Duplex Relay Networks Using Self-Energy Recycling and Deep Neural Networks

About this item

Full title

Security–Reliability Analysis of AF Full-Duplex Relay Networks Using Self-Energy Recycling and Deep Neural Networks

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-09, Vol.23 (17), p.7618

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

This paper investigates the security–reliability of simultaneous wireless information and power transfer (SWIPT)-assisted amplify-and-forward (AF) full-duplex (FD) relay networks. In practice, an AF-FD relay harvests energy from the source (S) using the power-splitting (PS) protocol. We propose an analysis of the related reliability and security by...

Alternative Titles

Full title

Security–Reliability Analysis of AF Full-Duplex Relay Networks Using Self-Energy Recycling and Deep Neural Networks

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_82b95f2680714059a246fb67bd065e61

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_82b95f2680714059a246fb67bd065e61

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23177618

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