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Optimization of Cooperative Spectrum Sensing with Parallel Frame Structure

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Abstract

In cognitive radio (CR) networks, cooperative spectrum sensing (CSS) can greatly improve the sensing performance. In this paper, we propose a parallel frame structure for CSS in which spectrum sensing and data transmission are conducted concurrently over two different parts of the primary user (PU) spectrum band. We focus on the optimal fusion schemes of the proposed parallel CSS to minimize the CR user transmission delay and the average sensing error probability under the conditions of sufficient protection to PUs and required bandwidth for potential CR user data transmission. Some algorithms are proposed to calculate the optimal solutions. Computer simulations show that the delay performance is greatly improved by using the optimal fusion scheme I, and optimal fusion scheme II will further decrease the average sensing error probability compared to that using fixed thresholds in the fusion center.

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References

  1. Huang, J., Zhou, H., Chen, Y., Chen, B., & Kong, R. (2014). Distributed and centralized schemes for channel sensing order setting in multi-user cognitive radio networks. Wireless Personal Communications, 75, 1391–1410.

    Article  Google Scholar 

  2. Chen, Q., Motani, M., Wong, W. C., & Nallanathan, A. (2011). Cooperative spectrum sensing strategies for cognitive radio mesh networks. IEEE Journal of Selected Topics in Signal Processing, 5(1), 56–67.

    Article  Google Scholar 

  3. Cardenas-Juarez, Marco, & Ghogho, Mounir. (2011). Spectrum sensing and throughput trade-off in cognitive radio under outage constraints over Nakagami fading. IEEE Communications Letters, 15(10), 1110–1113.

    Article  Google Scholar 

  4. Chen, Yunfei. (2008). Optimum number of secondary users in collaborative spectrum sensing considering resources usage efficiency. IEEE Communications Letters, 12(12), 877–879.

    Article  Google Scholar 

  5. Yücek, T., & Arslan, H. (2009). A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Surveys and Tutorials, 11(1), 116–130.

    Article  Google Scholar 

  6. Stotas, S., & Nallanathan, A. (2012). On the throughput and spectrum sensing enhancement of opportunistic spectrum access cognitive radio networks. IEEE Transactions on Wireless Communications, 11(1), 97–107.

    Article  Google Scholar 

  7. Ganesan, Ghurumuruhan, Li, Ye, Bing, Benny, & Li, Shaoqian. (2008). Spatiotemporal sensing in cognitive radio networks. IEEE Journal on Selected Areas in Communications, 26(1), 5–12.

    Article  Google Scholar 

  8. Yin, Wenshan, Ren, Pinyi, & Wang, Yichen. (2012). Delay and throughput oriented continuous spectrum sensing schemes in cognitive radio networks. IEEE Transactions on Wireless Communications, 11(6), 2148–2159.

    Article  Google Scholar 

  9. Duan, Dongliang, Yang, Liuqing, & Principe, Jose C. (2010). Cooperative diversity of spectrum sensing for cognitive radio systems. IEEE Transactions on Signal Processing, 58(6), 3218–3227.

    Article  MathSciNet  Google Scholar 

  10. Yu, H., Tang, W., & Li, S. (2011). Optimization of cooperative spectrum sensing with sensing user selection in cognitive radio networks. EURASIP Journal on Wireless Communications and Networking, 2011(208), 1–8.

    Google Scholar 

  11. Zhang, Wei, Mallik, Ranjan K., & Letaief, Khaled Ben. (2009). Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks. IEEE Transactions on Wireless Communications, 8(12), 5761–5766.

    Article  Google Scholar 

  12. Peh, E., Liang, Y. (2007). Optimization for cooperative spectrum sensing in cognitive radio networks. In Proceedings of IEEE Wireless Communications and Networking Conference, (WCNC07), (pp. 27–32).

  13. Han, W., Li, J., Tian, Z., & Zhang, Y. (2010). Efficient cooperative spectrum sensing with minimum overhead in cognitive radio. IEEE Transactions on Wireless Communications, 9(10), 3006–3011.

    Article  Google Scholar 

Download references

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Correspondence to Hang Zhang.

Additional information

This work is supported by the National Fundament Research of China (973 No. 2009CB3020400) and Jiangsu Province Natural Science Foundation under Grant BK2011002.

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Hu, H., Zhang, H. & Chen, Y. Optimization of Cooperative Spectrum Sensing with Parallel Frame Structure. Wireless Pers Commun 82, 2457–2470 (2015). https://doi.org/10.1007/s11277-015-2358-6

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  • DOI: https://doi.org/10.1007/s11277-015-2358-6

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