Abstract
Aiming at multiuser cognitive radio networks in a harsh electromagnetic environment, cooperative spectrum sensing with single cooperation can hardly achieve to the desired detection performance. In this paper, a relay-based dual-stage collaborative spectrum sensing model (DCSS) that combines the distributed method with the centralized method is proposed. Furthermore, the optimality of the detection performance of DCSS is investigated in an efficient and feasible way. The optimal voting rule value and the optimal energy detection threshold are also derived by minimizing the detection error rate of the entire network. Finally, an efficient fast sensing algorithm for a large-scale cognitive radio network is deduced, which requires the minimal number, and not all, of cognitive radio users for DCSS while satisfying the target detection error rate bound. The simulated results indicate that when compared to the normal single cooperation method, the optimized DCSS method can reduce the number of cognitive radio user by 65 % while still meeting the detection error rate requirement of less than 1 %.
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References
Zhao, Q., & Sadler, B. M. (2007). A survey of dynamic spectrum access. IEEE Signal Processing Magazine, 24(3), 2479–2489.
Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 23(2), 201–220.
Cabric, D., Mishra, S. M., & Brodersen, R. W. (2004). Implementation issues in spectrum sensing for cognitive radios. In Proceeding of IEEE Asilomar conference signals, systems and computers, pp. 772–776.
Sahai, A., Tandra, R., Mishra, S. M., & Hoven, N. (2006). Fundamental design tradeoffs in cognitive radio systems. In Proceedings of the first international workshop on technology and policy for accessing spectrum (TAPAS).
Yucek, T., & Arslan, H. (2009). A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Surveys and Tutorials, 11(1), 116–130.
Liang, Y. C., Chen, K. C., Li, G. Y., & Mahonen, P. (2011). Cognitive radio networking and communications: An overview. IEEE Transactions on Vehicular Technology, 60(7), 3386–3407.
Wang, B., & Liu, K. J. R. (2011). Advances in cognitive radio networks: A survey. IEEE Journal of Selected Topics in Signal Processing, 5(1), 5–23.
Akyildiz, I. F., Lo, B. F., & Balakrishnan, R. (2011). Cooperative spectrum sensing in cognitive radio networks: A survey. Physical Communication (Elsevier) Journal, 4(1), 40–62.
Quan, Z., Ma, W., Cui, S., & Sayed, A. H. (2010). Optimal linear fusion for distributed detection via semidefinite programming. IEEE Transaction Signal Processing, 58(4), 2431–2436.
Chaudhari, S., Lunden, J., Koivunen, V., & Poor, H. V. (2012). Cooperative sensing with imperfect reporting channels: Hard decisions or soft decisions? IEEE Transaction Signal Processing, 60(1), 18–28.
Ganesan, G., & Li, Y. (2007). Cooperative spectrum sensing in cognitive radio: Part I: Two user networks. IEEE Transactions on Wireless Communications, 6(6), 2204–2213.
Cui, C., & Wang, Y. (2010). Optimization and criterions of collaborative sensing under transmission power constraint. In Proceedings of 6th international conference of wireless communications networking and mobile computing (WiCOM), pp. 1–4. Chengdou, China.
Cui, C., Wang, Y., Zhou, L., & Zhu, H. (2011). Multi-dimension optimization and criterions of collaborative spectrum sensing. Journal of Nanjing University of Posts and Telecommunications (Natural Science), 31(4), 19–23. (in Chinese).
Li, L., Lu, Y., & Zhu, H. (2009). Half-voting based twice-cooperative spectrum sensing in cognitive radio networks. In Proceedings of 5th international conference of wireless communications networking and mobile computing (WiCOM), pp. 1–3. Beijing, China.
Zhao, N. (2013). A novel two-stage entropy-based robust cooperative spectrum sensing scheme with two-bit decision in cognitive radio. Wireless Personal Communications, 69(4), 1551–1565.
Tengyi, Z., & Tsang, D. H. K. (2011). Optimal cooperative sensing scheduling for energy-efficient cognitive radio networks. In Proceeding of the 30th IEEE international conference on computer communications (INFOCOM), pp. 2723–2731. Shanghai, China.
Won-Yeol, L., & Akyildiz, I. F. (2008). Optimal spectrum sensing framework for cognitive radio networks. IEEE Transactions on Wireless Communications, 7(1), 3845–3857.
Laneman, J. N., Tse, D. N. C., & Wornell, G. W. (2004). Cooperative diversity in wireless networks: Efficient protocols and outage behavior. IEEE Transaction Information Theory, 50(12), 3062–3080.
Haykin, S., & Moher, M. (2004). Modern wireless communications. New York: Prentice-Hall.
Stevenson, C., Chouinard, G., Lei, Z., Hu, W., Shellhammer, S., & Caldwell, W. (2009). IEEE 802.22: The first cognitive radio wireless regional area network standard. IEEE Communications Magazine, 47(1), 130–138.
Kay, S. M. (1998). Fundamentals of statistical signal processing, volumeII: Detection theory. Upper Saddle River, NJ: Pearson Education, Inc.
Zhang, W., Mallik, R. K., & Letaief, K. B. (2009). Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks. IEEE Transactions on Wireless Communications, 8(12), 5761–5766.
Acknowledgments
The authors would like to thank Dr. Fengbin Sun for his help to improve this work and the reviewers for their constructive comments and suggestions. The work described in this paper is supported by National Natural Science Foundation of China under Grant No. 60872003 and No. 61172056, as well as Doctoral Fund of Ministry of Education of China under Grant No. 20093201110005.
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Cui, C., Wang, Y. Analysis and Optimization of Sensing Reliability for Relay-Based Dual-Stage Collaborative Spectrum Sensing in Cognitive Radio Networks. Wireless Pers Commun 72, 2321–2337 (2013). https://doi.org/10.1007/s11277-013-1152-6
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DOI: https://doi.org/10.1007/s11277-013-1152-6