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Performance Analysis of Relay Based NOMA Cooperative Transmission under Cognitive Radio Network

Yinghua Zhang1, 2, Jian Liu1, *, Yunfeng Peng1, Yanfang Dong2, Guozhong Sun2, Hao Huang3, Changming Zhao4, 5

1 School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
2 Dawning Information Industry (Beijing) Co., Ltd., Beijing, 100083, China.
3 Higon Austin R&D Center, Austin, TX 78746, USA.
4 School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China.
5 College of Computer Science, Sichuan University, Chengdu, 610041, China.

* Corresponding Author: Jian Liu. Email: email.

Computers, Materials & Continua 2020, 63(1), 197-212.


This paper proposes a hybrid spectrum accessing mechanism by using NOMA-based cooperative transmission and beam-forming technology. In this mechanism, the secondary user employs spectrum-sensing technology to detect the existence of the primary user. If the primary user does not exist, the secondary source user directly transmits data to the destination user. If the primary user exists, the secondary source user finds the optimal relay according to certain selection principle before transmitting data to the destination user through the chosen relay node. For the signal receiving stage, the secondary user takes use of beam-forming technology to receive the signal from both the secondary source and the secondary relay node. Meanwhile the interference from the primary user is cancelled out in the stage. Furthermore, the outage probability for secondary user in the proposed mechanism is theoretically derived. Finally, the simulation results show that compared with the traditional mechanism, the proposed system model can not only guarantee the continuity of secondary transmission, but also significantly reduce the outage probability of secondary transmission.


Cite This Article

Y. Zhang, J. Liu, Y. Peng, Y. Dong, G. Sun et al., "Performance analysis of relay based noma cooperative transmission under cognitive radio network," Computers, Materials & Continua, vol. 63, no.1, pp. 197–212, 2020.


cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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