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Analysis of Underlay Cognitive Radio Networks Based on Interference Cancellation Mechanism

Lei Wang1, Jian Liu1, Changming Zhao2, 3, *, Alan Yang4

1 School of Computer & Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
2 School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China.
3 College of Computer Science, Sichuan University, Chengdu, 610041, China.
4 Amphenol Assemble Tech, Houston, TX 77070, USA.

* Corresponding Author: Changming Zhao. Email: email.

Computers, Materials & Continua 2020, 63(1), 401-416. https://doi.org/10.32604/cmc.2020.06680

Abstract

In this paper, we investigate the performance of secondary transmission scheme based on Markov ON-OFF state of primary users in Underlay cognitive radio networks. We propose flexible secondary cooperative transmission schemewith interference cancellation technique according to the ON-OFF status of primary transmitter. For maximal ratio combining (MRC) at destination, we have derived exact closed-form expressions of the outage probability in different situations. The numerical simulation results also reveal that the proposed scheme improve the secondary transmission performance compared with traditional mechanism in terms of secondary outage probability and energy efficiency.

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APA Style
Wang, L., Liu, J., Zhao, C., Yang, A. (2020). Analysis of underlay cognitive radio networks based on interference cancellation mechanism. Computers, Materials & Continua, 63(1), 401-416. https://doi.org/10.32604/cmc.2020.06680
Vancouver Style
Wang L, Liu J, Zhao C, Yang A. Analysis of underlay cognitive radio networks based on interference cancellation mechanism. Comput Mater Contin. 2020;63(1):401-416 https://doi.org/10.32604/cmc.2020.06680
IEEE Style
L. Wang, J. Liu, C. Zhao, and A. Yang "Analysis of Underlay Cognitive Radio Networks Based on Interference Cancellation Mechanism," Comput. Mater. Contin., vol. 63, no. 1, pp. 401-416. 2020. https://doi.org/10.32604/cmc.2020.06680

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cc Copyright © 2020 The Author(s). Published by Tech Science Press.
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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