Abstract
This paper investigates cluster-based cooperative spectrum sensing issues in two-layer hierarchical cognitive radio networks with soft data fusion. We first define a two-phase reporting protocol in the paper. In the first phase, secondary users forward their soft sensing information to cluster heads (CHs) over large-scale fading. In the second phase, all CHs transmit the aggregated soft energy information to the fusion center (FC) with different weights. Thus we derive the network false alarm (FA) and the detection probabilities as functions of the FC decision threshold, the clustering algorithm and different weights. Given a target on the detection probability, minimizing the FA probability is then formulated as a constraint optimization problem within two scenarios including additive white Gaussian noise environment and Rayleigh fading environment. A close-form upper bound of the FA probability is derived and a novel clustering scheme is also proposed for each scenario. Numerical results show that the proposed schemes achieve a satisfying performance.
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References
Neel, J. O. (2006). Analysis and design of cognitive radio networks and distributed radio resource management algorithms. Ph.D. dissertation, Virginia Polytechnic Institute and State University.
Ma, J., Zhao, G. D., & Li, Y. (Nov. 2008). Soft combination and detection for cooperative spectrum sensing in cognitive radio networks. IEEE Transactions on Wireless Communications, 7(11), 45024507.
Yucek, T., & Arslan, H. (Mar. 2009). A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications on Surveys and Tutorials, 11(1), 116–130.
Wang, B., & Liu, K. (2010). Advances in cognitive radio networks: A survey. IEEE Journal of Selected Topics in Signal Processing, 5, 5–24.
Li, Z. Q., Yu, F. R., & Huang, M. Y. (2010). A distributed consensus-based cooperative spectrum sensing scheme in cognitive radios. IEEE Transactions on Vehicular Technology, 59(1), 383–393.
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), 5761C5766.
Ghasemi, A., & Sousa, E. S. (2007). Asymptotic performance of collaborative spectrum sensing under correlated logCnormal shadowing. IEEE Communications Letters, 11(1), 34C36.
Di Renzo, M., Imbriglio, L., Graziosi, F., & Santucci, F. (2008). Distributed data fusion over correlated logCnormal sensing and reporting channels: Application to cognitive radio networks. IEEE Transactions on Wireless Communications, 8(12), 5813C5821.
Mishra, S., Sahai, A., & Brodersen, R. (2006). Cooperative sensing among cognitive radios. In Proceedings of the IEEE international conference on communications (ICC) (pp. 1658–1663).
Sun, C., Zhang, W., & Letaief, K. B. (2007). Cluster-based cooperative spectrum sensing in cognitive radio systems. In Proceedings of the IEEE international conference on communications (ICC07) (pp. 2511–2515).
Malady, A. C., & da Silva, C. (2008). Clustering methods for distributed spectrum sensing in cognitive radio systems. In Proceedings of the IEEE military communications conference (MILCOM 2008) (pp. 16–19).
Xie, S., Shen, L., & Liu, J. (2009). Optimal threshold of energy detection for spectrum sensing in cognitive radio. In Proceedings of the international conference on wireless communications signal processing (WCSP 2009) (pp. 1–5).
Zhang, W., Mallik, R., & 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.
Guo, C., Peng, T., Xu, S., Wang, H., & Wang, W. (2009). Cooperative spectrum sensing with cluster-based architecture in cognitive radio networks. In Proceedings of the IEEE vehicular technology conference (VTC) (pp. 26–29).
Kim, W., Jeon, H., Im, S., & Lee, H. (2010). Optimization of multi-cluster multi-group based cooperative sensing in cognitive radio networks. In Military communications conferences. (MILCOM 2010) (pp. 1211–1216).
Zhao, Y., Song, M., & Xin, C. (2011). A weighted cooperative spectrum sensing framework for infrastructure-based cognitive radio networks. In Computer communications (pp. 1510–1517).
Reisi, N., Ahmadian, M., Jamali, V., & Salari, S. (2012). Cluster-based cooperative spectrum sensing over correlated log-normal channels with noise uncertainty in cognitive radio networks. IET Communications, 6, 2725–2733.
Pawelczak, P., Guo, C., Prasad, R., & Hekmat, R. (2007). Cluster-based spectrum sensing architecture for opportunistic spectrum access networks. Tech. Rep. IRCTR-S-004-07.
Duan, J., & Li, Y. (2010). A novel cooperative spectrum sensing scheme based on clustering and softened hard combination. Wireless Communications, Networking and Information Security (WCNIS 2010) (pp. 183–187).
Deng, F., Zeng, F., & Li, R. (2009). Clustering-based compressive wide-band spectrum sensing in cognitive radio network. Mobile Ad-hoc and Sensor Networks (MSN 2009) (pp. 218–222).
Shen, B., Zhao, C., & Zhou, Z. (2009). User clusters based hierarchical cooperative spectrum sensing in cognitive radio networks. Cognitive Radio Orientend Wireless Networks and Communications (CrownCom 2009) (pp. 1–6).
De Nardis, L., Domenicali, D., & Di Benedetto, M.-G. (2009). Clustered hybrid energy-aware cooperative spectrum sensing (CHESS). Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2009), (pp. 1–6).
Guo, C., Peng, T., Xu, S., Wang, H., & Wang, W., (2009) Cooperative spectrum sensing with cluster-based architecture in cognitive radio networks. In Proceedings of the IEEE vehicular technology conference (VTC 2009) (pp. 1–5).
Xia, W., Wang, S., Liu, W., & Chen, W. (2009). Cluster-based energy efficient cooperative spectrum sensing in cognitive radios. Wireless Communications, Networking and Mobile Computing (WICOM 2009) (pp. 1–4).
Gong, L., Chen, J., Tang, W., & Li, S. (2008). Application of clustering structure in the hierarchical spectrum sharing network based on cognitive radio. Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008) (pp. 1–5).
Bai, Z., Wang, L., Zhang, H., & Kwak, K. (2010). Cluster-based cooperative spectrum sensing for cognitive radio under bandwidth constraints. In Communication systems (ICCS 2010) (pp. 569–573).
Qi, C., Wang, J., & Li, S. (2009). Weighted-clustering cooperative spectrum sensing in cognitive radio context. Communications and Mobile Computing (CMC 2009) (pp. 102–106).
Wang, Y., Nie., G., Li., G., & Shi, C. (2012). Sensing-throughput tradeoff in cluster-based cooperative cognitive radio networks with a TDMA reporting frame structure. Wireless Personal Communication (WPC). 71(3), 1795–1818.
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This work is supported by National Nature Science Foundation of China (NSF61121001), and Beijing Natural Science Foundation(4132050).
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Wang, Y., Lin, W., Huang, Y. et al. Optimization of Cluster-Based Cooperative Spectrum Sensing Scheme in Cognitive Radio Networks with Soft Data Fusion. Wireless Pers Commun 77, 2871–2888 (2014). https://doi.org/10.1007/s11277-014-1673-7
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DOI: https://doi.org/10.1007/s11277-014-1673-7