Abstract
Cognitive radio (CR) can significantly enhance spectrum efficiency by dynamical accessing the licensed spectrum. However, single user spectrum sensing may be inaccurate and the second user (SU) may preempt the channel of the primary users (PUs). The appearance of cooperative spectrum sensing (CSS) can effectively improve the spectrum sensing performance by fusing the results of multiple SUs’ decisions to yield reliable decisions. Nevertheless, the communication overhead and the energy consumption of SUs bring a heavy burden for the resource limited secondary network. Therefore, in this paper, we propose a correlation based scheme to select representative SUs based on their correlation by using improved Density-Based Spatial Clustering of Applications algorithm (DSCN). First, we set a threshold to screen out SUs with good channel quality. Then, we propose a improved DSCN algorithm to select SUs that participate in CSS. This algorithm can select representative SUs based on their correlations. Simulation results show that the sensing overhead has been greatly reduced and the probability of detection and the probability of false alarm are better than the traditional spectrum sensing schemes.
This work was supported in part by the National Natural Science Foundation of China under Grant 61941119, Grant 61901379, Grant 61901381, and Grant 61901378, in part by the China Postdoctoral Science Foundation under Grant BX20180262, Grant BX20190287, and Grant 2018M641019, in part by the Natural Science Basic Research Plan in Shaanxi Province under Grant 2019JQ-631, and Grant 2019JQ-253, in part by the National University Student Innovation and Entrepreneurship Training Programs No. 201910699119, in part by Foundation of the Science, Technology, and Innovation Commission of Shenzhen Municipality under Grant JCYJ20190806160218174, in part by the open research fund of National Mobile Communications Research Laboratory, Southeast University under Grant 2020D04.
Y. Zhang and W. Zhao—The first two authors contributed equally to this work.
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Zhang, Y., Zhao, W., Wang, D., Zhai, D., Tang, X. (2021). Correlation Based Secondary Users Selection for Cooperative Spectrum Sensing Network. In: Li, B., Li, C., Yang, M., Yan, Z., Zheng, J. (eds) IoT as a Service. IoTaaS 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 346. Springer, Cham. https://doi.org/10.1007/978-3-030-67514-1_6
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DOI: https://doi.org/10.1007/978-3-030-67514-1_6
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