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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2013 Vol.3(6): 503-507 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2013.V3.369

Analysis of Outage Performance in Cognitive Radio Networks

Shuqi Liu, Yiming Wang, Yiqi Zhu, Hexin Yang, and Lingjiao Pan
Abstract—This paper evaluates the outage performance of CRNs with mutual interference between SUs and PUs under the underlay approach. We derive the outage probability expression of CRNs, and it is shown that the outage probability of CRNs with considering the interference to SU from PU is higher than that of CRNs without considering the interference to SU from PU. In addition, the outage probability is affected by key network parameters, such as maximum transmit power of SUs, transmit power of PU, interference level of PU, distribution parameter of transmission channel gain or the secondary transmission link (between the secondary transmitter to the secondary receiver) and distribution parameters of interference channel gain or interfering link (from the secondary transmitter to the primary receiver or from the primary transmitter to the secondary receiver). Simulation results have a good agreement with theoretical analysis.

Index Terms—Cognitive relay networks, outage probability, Rayleigh fading channel.

Shuqi Liu,Yiqi Zhu, Hexin Yang, and Lingjiao Pan are with School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China (e-mail: dxlsq@jsut.edu.cn).
Yiming Wang is with School of Electronics and Information Engineering, Soochow University, Suzhou, China (e-mail: ymwang@suda.edu.cn).

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Cite:Shuqi Liu, Yiming Wang, Yiqi Zhu, Hexin Yang, and Lingjiao Pan, "Analysis of Outage Performance in Cognitive Radio Networks," International Journal of Machine Learning and Computing vol.3, no. 6, pp. 503-507, 2013.

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