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On the Security Enhancement of Uplink NOMA Systems With Jammer Selection
- Source :
- IEEE Transactions on Communications. 68:5747-5763
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- We investigate physical layer security of an uplink NOMA system consisting of one base station, multiple users and one eavesdropper. During each uplink transmission, two users are paired to perform NOMA and another user is opportunistically selected from the remaining idle users to act as a friendly jammer to emit artificial noise for confusing the eavesdropper. To enhance the transmission security for the system, we propose two friendly jammer selection aided uplink NOMA transmission schemes, namely random jammer selection aided uplink NOMA transmission (RJS-UNT) scheme without knowing the eavesdropper’s channel state information (CSI), and optimal jammer selection aided uplink NOMA transmission (OJS-UNT) scheme where the eavesdropper’s CSI is available. For comparison purpose, a non-jammer selection aided uplink NOMA transmission (NJS-UNT) scheme is also considered. Analytical closed-form expressions for the secrecy outage probability (SOP) are derived to evaluate the secrecy performance achieved by the proposed schemes. Also, the asymptotic SOPs are provided to obtain further insights. The analysis and simulation results indicate that the schemes converge to SOP floors with the increasing SNR, while the floors achieved by the RJS-UNT and OJS-UNT schemes are significantly lower than that achieved by the NJS-UNT scheme, showing the security advantage of the proposed schemes.
- Subjects :
- Computer Science::Computer Science and Game Theory
Computer science
business.industry
Physical layer
020206 networking & telecommunications
020302 automobile design & engineering
Jamming
02 engineering and technology
Transmission security
medicine.disease
Interference (wave propagation)
Noma
Base station
0203 mechanical engineering
Transmission (telecommunications)
Channel state information
Telecommunications link
0202 electrical engineering, electronic engineering, information engineering
medicine
Artificial noise
Electrical and Electronic Engineering
business
Computer Science::Cryptography and Security
Computer Science::Information Theory
Computer network
Subjects
Details
- ISSN :
- 15580857 and 00906778
- Volume :
- 68
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Communications
- Accession number :
- edsair.doi...........36a626c854050b104afcc93c76341a69