2023
DOI: 10.3390/electronics12102224
|View full text |Cite
|
Sign up to set email alerts
|

Enhancing Physical Layer Security of Cooperative Nonorthogonal Multiple Access Networks via Artificial Noise

Dan Jiang,
Yuanyuan Gao,
Guoxin Li
et al.

Abstract: The massive connectivity requirement and security issues have become major factors restricting the further development of the Internet of Things. Nonorthogonal multiple access (NOMA) can be combined with physical layer security (PLS) to achieve massive connectivity and secure transmission. This article investigates the PLS performance for a downlink communication system over Nakagami-m fading channels, with full-duplex (FD) cooperative NOMA transmission aided by artificial noise (AN). While direct communicatio… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 40 publications
0
1
0
Order By: Relevance
“…The ambition of fifth-generation (5G) mobile networks and beyond is to address the surging increase of connected devices, data traffic, and diverse quality-ofservice (QoS) requirements. Nonorthogonal multiple access (NOMA) has surfaced as an auspicious multiple-access technique to amplify spectral efficiency and network capacity, presenting significant advancements compared to its orthogonal multiple access (OMA) counterpart [1].…”
Section: Introductionmentioning
confidence: 99%
“…The ambition of fifth-generation (5G) mobile networks and beyond is to address the surging increase of connected devices, data traffic, and diverse quality-ofservice (QoS) requirements. Nonorthogonal multiple access (NOMA) has surfaced as an auspicious multiple-access technique to amplify spectral efficiency and network capacity, presenting significant advancements compared to its orthogonal multiple access (OMA) counterpart [1].…”
Section: Introductionmentioning
confidence: 99%