JOURNAL ARTICLE

Secure NOMA Based Two-Way Relay Networks Using Artificial Noise and Full Duplex

Beixiong ZhengMiaowen WenCheng‐Xiang WangXiaodong WangFangjiong ChenJie TangFei Ji

Year: 2018 Journal:   IEEE Journal on Selected Areas in Communications Vol: 36 (7)Pages: 1426-1440   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In this paper, we develop a non-orthogonal multiple access (NOMA)-based two-way relay network with secrecy considerations, in which two users wish to exchange their NOMA signals via a trusted relay in the presence of single and multiple eavesdroppers. To ensure secure communications, the relay not only forwards confidential information to the legitimate users but also keeps emitting jamming signals all the time to degrade the performance of any potential eavesdropper. Moreover, we equip the relay and each user with the full-duplex technique in the multiple-access phase to combat the eavesdropping and improve the data transmission efficiency, respectively. We propose different decoding schemes based on the successive interference cancellation for the legitimate users, relay, and eavesdroppers. Closed-form expressions for the achievable ergodic secrecy rates of all data symbols under both single- and multiple-eavesdropper cases are derived, validated by the excellent fitting to the computer simulation results for our proposed network.

Keywords:
Computer science Relay Eavesdropping Noma Computer network Secrecy Decoding methods Single antenna interference cancellation Jamming Artificial noise Telecommunications link Computer security Telecommunications Transmitter Channel (broadcasting)

Metrics

138
Cited By
11.42
FWCI (Field Weighted Citation Impact)
61
Refs
0.99
Citation Normalized Percentile
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Citation History

Topics

Wireless Communication Security Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Signal Modulation Classification
Physical Sciences →  Computer Science →  Artificial Intelligence
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