Abstract
In cognitive radio networks, spectrum sensing errors are unavoidable, and it is necessary to evaluate the negative effects of spectrum sensing errors on the system performance. In this paper, we consider and analyze the system performance of a cognitive radio network with non-ideal spectrum sensing. Considering the diversity of data transmission in modern communication networks, we also introduce multiple classes of secondary users (SUs) into the system evaluation. By building and analyzing a discrete-time Markov chain model, we obtain formulas for the collision probability, and the interruption rate and the average delay for the SU packets with lower priority. Finally, with the help of numerical results, we show the influence exerted the non-ideal spectrum sensing.
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Acknowledgments
This work was supported in part by the National Natural Science Foundation of China (No. 61701097, No. 61472342), the Natural Science Foundation of Hebei Province (No. F2016501073), the Doctoral Scientific Research Foundation of Liaoning Province (No. 201601016), the Scientific Research Fund of Hebei Education Department (No. QN2016307), China, and was supported in part by MEXT, Japan.
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Zhao, Y., Yue, W. (2018). Cognitive Radio Networks with Non-Ideal Spectrum Sensing and Multiple Classes of Secondary Users. In: Takahashi, Y., Phung-Duc, T., Wittevrongel, S., Yue, W. (eds) Queueing Theory and Network Applications. QTNA 2018. Lecture Notes in Computer Science(), vol 10932. Springer, Cham. https://doi.org/10.1007/978-3-319-93736-6_12
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DOI: https://doi.org/10.1007/978-3-319-93736-6_12
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