Research Article
Physical Layer Secrecy Enhancement for Non-orthogonal Multiple Access Cooperative Network with Artificial Noise
@INPROCEEDINGS{10.1007/978-3-030-30149-1_7, author={Van-Long Nguyen and Dac-Binh Ha}, title={Physical Layer Secrecy Enhancement for Non-orthogonal Multiple Access Cooperative Network with Artificial Noise}, proceedings={Industrial Networks and Intelligent Systems. 5th EAI International Conference, INISCOM 2019, Ho Chi Minh City, Vietnam, August 19, 2019, Proceedings}, proceedings_a={INISCOM}, year={2019}, month={9}, keywords={Non-orthogonal multiple access Cooperative network Decode and forward Artificial noise Secrecy outage probability}, doi={10.1007/978-3-030-30149-1_7} }
- Van-Long Nguyen
Dac-Binh Ha
Year: 2019
Physical Layer Secrecy Enhancement for Non-orthogonal Multiple Access Cooperative Network with Artificial Noise
INISCOM
Springer
DOI: 10.1007/978-3-030-30149-1_7
Abstract
In this paper, the physical layer secrecy performance of non-orthogonal multiple access (NOMA) in a downlink cooperative network is studied. This considered system consists of one source, multiple legitimate user pairs and presenting an eavesdropper. In each pair, the better user forwards the information from the source to the worse user by using the decode-and-forward (DF) scheme and assuming that the eavesdropper attempts to extract the worse user’s message. We propose the artificial noise - cooperative transmission scheme, namely ANCOTRAS, to improve the secrecy performance of this considered system. In order to evaluate the effectiveness of this proposed scheme, the lower bound and exact closed-form expressions of secrecy outage probability are derived by using statistical characteristics of signal-to-noise ratio (SNR) and signal-to-interference-plus-noise ratio (SINR). Moreover, we investigate the secrecy performance of this considered system according to key parameters, such as power allocation ratio, average transmit power and number of user pair to verify our proposed scheme. Finally, Monte- Carlo simulation results are provided to confirm the correctness of the analytical results.