Modeling and Analysis of Random Periodic Spectrum Sensing for Cognitive Radio Networks
Caili GUO, Zhiming ZENG, Chunyan FENG, Qi LIU
DOI: 10.4236/wsn.2009.15048   PDF    HTML     5,135 Downloads   9,348 Views  


A random periodic spectrum sensing scheme is proposed for cognitive radio networks. The sensing period, the transmission time for primary users and cognitive radios are extended to general forms as random variables. A generalized Markov analytical model for sensing period optimization is presented, and the applications of the proposed analytical model by using examples involving primary user systems with both voice and data traffic are illustrated. The analysis and numerical results show that sensing period does affect the maximum rewards of the channel, and the analytical model is justified by its flexibility since it uses general forms of the sensing period, the transmission time for primary users and cognitive radios. Hence the model can be easily adapted for the analysis of many different applications.

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GUO, C. , ZENG, Z. , FENG, C. and LIU, Q. (2009) Modeling and Analysis of Random Periodic Spectrum Sensing for Cognitive Radio Networks. Wireless Sensor Network, 1, 397-406. doi: 10.4236/wsn.2009.15048.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Y. C. Liang, W. S. Leon, Y. H. Zeng, et al., “System description and operation principles for IEEE 802.22 WRANs,” IEEE 802.22–05/0094r4, http://www.ieee802. org/22/.
[2] V. K. N. Lau , R. S. Cheng, R. D. Murch, et al., “Adaptive quiet period control,” IEEE 802.22–06/0082r0, http://
[3] W. D. Hu, D. Willkomm, M. Abusubaih, et al., “Cognitive Radios for dynamic spectrum access-dynamic frequency hopping communities for efficient IEEE 802.22 operation,” IEEE Communications Magazine, Vol. 45, No. 5, pp. 88–87, 2007.
[4] T. Shu, S. G. Cui, and M. Krunz, “Medium access control for Multi-Channel parallel transmission in Cognitive Radio networks,” In proceedings of IEEE GLOBECOM, San Francisco, pp. 1–5, 2006.
[5] H. Kim and K. G. Shin, “Efficient discovery of spectrum opportunities with MAC-Layer sensing in Cognitive Radio networks,” IEEE Transactions on Mobile Computing, Vol. 7, No. 5, pp. 533–545, 2008.
[6] Y. Zhang, C. Y. Feng, and C. L. Guo, “A flexible sensing period mechanism of spectrum sensing in cognitive radio Networks,” The Journal of China Universities of Posts and Telecommunications, Vol. 31 No. 2, pp. 128–131, 2008.
[7] C. L. Guo, Z. M. Zeng, C. Y. Feng, and Z. Q. Liu, “An asynchronous spectrum sensing period optimization model and adaptive fuzzy adjustment algorithm,” Journal of Electronics & Information Technology, Vol. 31, No. 4, pp. 920–924, 2009.
[8] C. Han, J. Wang, and S. Li, “A spectrum exchange mechanism in cognitive radio contexts,” In proceedings of IEEE PIMRC, Finland, pp. 1–5, 2006.
[9] D. H. Shi, “A new method for calculating the mean failure numbers of a repairable system during (0, t),” Acta Mathematicac Applicatae Sinica, Vol. 8, No. 1, pp. 101– 110, 1985.

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