Abstract
In cognitive radio (CR), there is a tradeoff between spectrum sensing time and throughput of secondary user (SU). In order to improve the SU’s throughput, a sensing-throughput tradeoff in spectrum-handoff based CR is proposed, which allows the SU to search and transfer to a new idle channel to continue communication, when the PU is present. An optimization problem is proposed to maximize the SU’s throughput in the proposed scheme through jointly optimizing the sensing time, the searching time and the number of available channels subject to the detection probability to the PU. The simulation results show that there exist the optimal solutions to the proposed scheme and the proposed scheme outperforms the conventional scheme notably.
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Acknowledgments
This work was supported by the National Natural Science Foundations of China under Grant No. 61601221; the Natural Science Foundation of Jiangsu Province under Grant No. BK20140828; the Chinese Postdoctoral Science Foundation under Grant No. 2015M580425; the Fundamental Research Funds for the Central Universities under Grant No. DUT16RC(3)045; the Scientific Research Foundation for the Returned Overseas Chinese Scholars of State Education Ministry.
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, X., Lu, W., Li, F. (2017). Sensing-Throughput Tradeoff in Spectrum Handoff-Based Cognitive Radio. In: Xin-lin, H. (eds) Machine Learning and Intelligent Communications. MLICOM 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-319-52730-7_18
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DOI: https://doi.org/10.1007/978-3-319-52730-7_18
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