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Analysis of Underlay Cognitive Radio Networks Based on Interference Cancellation Mechanism

Lei Wang1, Jian Liu1,*, Alan Yang2

1 School of Computer & Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
2 Amphenol AssembleTech, Houston, TX 77070, US.
* Corresponding Author: Jian Liu. Email:

Journal of Information Hiding and Privacy Protection 2019, 1(3), 119-133.


In this paper, we study the state-dependent interference channel, where the Rayleigh channel is non-causally known at cognitive network. We propose an active secondary transmission mechanism with interference cancellation technique according to the ON-OFF status of primary network. the secondary transmission mechanism is divided into four cases according to the active state of the primary user in the two time slots. For these interference cases, numerical results are provided to show that active interference cancellation mechanism significantly reduces the secondary transmission performance in terms of secondary outage probability and energy efficiency.


Cite This Article

L. Wang, J. Liu and A. Yang, "Analysis of underlay cognitive radio networks based on interference cancellation mechanism," Journal of Information Hiding and Privacy Protection, vol. 1, no.3, pp. 119–133, 2019.

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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