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Optimal Cooperative Spectrum Sensing in Interference-Aware Cognitive Radio Networks

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Abstract

In order to protect the primary user from being interfered, most of the related works focus only on the restriction of the missed detection probability, which may cause over-protection of the primary user. Thus the interference probability is defined and the interference-aware sensing model is introduced in this paper. The interference-aware sensing model takes the spatial conditions into consideration, and can further improve the network performance with a good spectrum reuse opportunity. Meanwhile, although the detection performance can be further improved by the cooperative spectrum sensing, it also introduces additional reporting time corresponding to the number of cooperative users (CUs), which may decrease the throughput of the CRN. Motivated by the above, in this paper, we study the throughput tradeoff for interference-aware cognitive radio networks. For cooperative spectrum sensing, the Logic-OR fusion rule is used. By jointly optimizing the sensing time and the number of the CUs, the maximum throughput can be achieved. Theoretical analysis is given to prove the feasibility of the optimization and numerical simulations also show that the maximum throughput can be achieved when the sensing time and the number of the CUs are both optimized.

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Acknowledgments

This work was supported by the National Science Foundation of China under Grant Nos. 61172062 and 61301160, and in part by Jiangsu Province Natural Science Foundation of China under Grant No. BK2011116.

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Authors and Affiliations

  1. College of Communications Engineering, PLA University of Science and Technology, Nanjing, China

    Fei Song, Changju Kan, Qihui Wu & Guoru Ding

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  1. Fei Song
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  2. Changju Kan
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  4. Guoru Ding
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Correspondence to Changju Kan.

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Song, F., Kan, C., Wu, Q. et al. Optimal Cooperative Spectrum Sensing in Interference-Aware Cognitive Radio Networks. Wireless Pers Commun 82, 2171–2184 (2015). https://doi.org/10.1007/s11277-015-2340-3

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