JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Asynchronous Cooperative Spectrum Sensing Scheme on Primary Users with Fast "On/Off" State Variations in Spectrum Sensing Windows
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Asynchronous Cooperative Spectrum Sensing Scheme on Primary Users with Fast "On/Off" State Variations in Spectrum Sensing Windows
Jin, Jingying; Gu, Junrong; Kim, Jae Moung;
  PDF(new window)
 Abstract
Cognitive Radio has attracted intensive interests of the researchers, recently. The data rate always increases in the emerging technologies. The increased data rate poses mainly two challenges for spectrum sensing. One is that the state of primary user (PU) is fast and alternatively varying between "on/off" in a spectrum sensing window. The other is that the asynchronicity among the reports in a cooperative spectrum sensing setting becomes more apparent. Both of them would deteriorate the spectrum sensing performance. Thus, we propose an asynchronous cooperative spectrum sensing method to cope with these two challenges. A likelihood ratio test based spectrum sensing is developed for a single cooperator. The likelihood ratio is obtained in the setting of fast varying PU state. The likelihood ratio test is uniformly powerful according to the Neyman-pearson lemma. Furthermore, the asynchronicity among the cooperators are studied. Two sets of fusion weights are discussed for the asynchronous time among cooperators. One is designed based on the condition probability of the PU state variation and the other one is designed based on the queueing theory. The simulation results are provided with different fusion methods. The performance improvements are demonstrated.
 Keywords
asynchronous cooperative spectrum sensing: fast "on/off" varying primary user;cognitive radio;
 Language
English
 Cited by
 References
1.
J. Wang, M. Ghosh, and K. Challapali, "Emerging cognitive radio applications: a survey," IEEE Commun. Mag., vol. 49, no. 3, pp. 74-81, Mar. 2011.

2.
T. Yucek and H. Arslan, "A survey of spectrum sensing algorithms for cognitive radio applications," IEEE Commun. Surveys Tutorials, vol. 11, no. 1, pp. 116-130, First Quarter, 2009. crossref(new window)

3.
S. Haykin, D. J. Thomson, and J. H. Reed, "Spectrum sensing for cognitive radio," Proc. IEEE, vol. 97, no. 5, pp. 849-877, May 2009. crossref(new window)

4.
D. Cabric, S. M. Mishra, and R. W. Brodersen, "Implementation issues in spectrum sensing for cognitive radios," in Proc. 38th Asilomar Conf. Signals, Syst. Comput., vol. 1, pp. 772-776, Pacific Grove, U.S.A., Nov. 2004.

5.
H. Lee, J. Gu, S. H. Sohn, S. J. Jang, and J. M. Kim, "An improved entropy based sensing by exploring phase information," J. KICS, vol. 35, no. 9, pp. 896-905, Sep. 2010.

6.
S. Haykin "Cognitive radio: brain-empowered wireless communications," IEEE J. Sel. Areas Commun., vol. 23, no. 2, pp. 201-220, Feb. 2005. crossref(new window)

7.
D. Cabric, A. Tkachenko, and R. Brodersen, "Spectrum sensing measurements of pilot, energy, and collaborative detection," in Proc. IEEE Military Commun. Conf., pp. 1-7, Washington D.C., U.S.A., Oct. 2006.

8.
T. S. Shehata and M. El-Tanany, "A novel adaptive structure of the energy detector applied to cognitive radio networks," in Proc. Canadian Workshop Inform. Theory (CWIT 2009), pp. 95-98, Ottawa, Canada, May 2009.

9.
T. Wang, Y. Chen, E. L. Hines, and B. Zhao, "Analysis of effect of primary user traffic on spectrum sensing performance," in Proc. Chinacom 2009, pp. 1-5, Xian, China, Aug. 2009.

10.
J.-Y. Wu, C.-H. Wang, and T.-Y. Wang, "Performance analysis of energy detection based spectrum sensing with unknown primary signal arrival time," IEEE Trans. Commun., vol. 59, no. 7, pp. 1779-1784, July 2011. crossref(new window)

11.
L. Tang, Y. Chen, E. L. Hines, and M.-S Alouini, "Performance analysis of spectrum sensing with multiple status changes in primary user traffic," IEEE Commun. Lett., vol. 16, no. 6, pp.874-877, June 2012. crossref(new window)

12.
H. Kim and K. G. Shin, "Efficient discovery of spectrum opportunities with MAC-layer sensing in cognitive radio networks," IEEE Trans. Mobile Comput., vol. 7, no. 5, pp. 533-545, May 2008. crossref(new window)

13.
Q. Liang, M. Liu, and D. Yuan, "Channel estimation for opportunistic spectrum access: uniform and random sensing," IEEE Trans. Mobile Comput., vol. 11, no. 8, pp. 1304-1316, June 2012. crossref(new window)

14.
J. Ma, G. Zhao, and Y. Li, "Soft combination and detection for cooperative spectrum sensing in cognitive radio networks," IEEE Trans. Wireless Commun., vol. 7, no. 11, pp. 4502-4507, Nov. 2008. crossref(new window)

15.
F. F. Digham, M.-S. Alouini, and M. K. Simon, "On the energy detection of unknown signals over fading channels," IEEE Trans. Commun., vol. 55, no. 1, pp. 21-24, Jan. 2007. crossref(new window)

16.
Z. Chair and P. K. Varshney, "Optimal data fusion in multiple sensor detection systems," IEEE Trans. Aerosp. Electron. Syst., vol. AES-22, no. 1, pp. 98-101, Jan. 1986. crossref(new window)

17.
Y. Zheng, X. Xie, and L. Yang, "Cooperative spectrum sensing based on SNR comparison in fusion center for cognitive radio," in Proc. Int. Conf. Advanced Comput. Control (ICACC'09), pp. 212-216, Singapore, Jan. 2009.