KSII Transactions on Internet and Information Systems (TIIS)

  • 제4권3호
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  • Pages.289-304
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  • 2010
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  • 1976-7277(pISSN)
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  • 1976-7277(eISSN)
한국인터넷정보학회 (Korean Society for Internet Information)
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A Cooperative Spectrum Sensing Scheme Using Fuzzy Logic for Cognitive Radio Networks

  • Thuc, Kieu-Xuan (School of Electrical Engineering, University of Ulsan) ;
  • Koo, In-Soo (School of Electrical Engineering, University of Ulsan)
  • 투고 : 2010.02.06
  • 심사 : 2010.04.28
  • 발행 : 2010.06.30
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초록

This paper proposes a novel scheme for cooperative spectrum sensing on distributed cognitive radio networks. A fuzzy logic rule - based inference system is proposed to estimate the presence possibility of the licensed user's signal based on the observed energy at each cognitive radio terminal. The estimated results are aggregated to make the final sensing decision at the fusion center. Simulation results show that significant improvement of the spectrum sensing accuracy is achieved by our schemes.

키워드

참고문헌

  1. D. Cabric, S.M. Mishra, and R.W. Brodersen, "Implementation issues in spectrum sensing for cognitive radios," in Conf. Record of the 38th Asilomar Conf. on Signals, Systems and Computers, vol. 1, pp. 772-776, Nov. 2004.
  2. Z. Wei, R.K. Mallik, and K. Ben Letaief, "Cooperative spectrum sensing optimization in cognitive radio networks," in Proc. of IEEE Int. Conf. on Communications, pp. 3411-3415, May 2008.
  3. L. Chen, J. Wang, and S. Li, "An adaptive cooperative spectrum sensing scheme based on the optimal data fusion rule," in Proc. of 4th Int. Symposium on Wireless Communication Systems, pp. 582-586, Oct. 2007.
  4. W. Yang, Y. Cai, and Y. Xu, "A fuzzy collaborative spectrum sensing scheme in cognitive radio," in Proc. of The 2007 Int. Symposium on Intelligent Signal Processing and Communication Systems, pp. 566-569, Dec. 2007.
  5. Z. Chair and P. K. Varshney, "Optimal data fusion in multiple sensor detection systems," IEEE Trans. Aerosp. Electron. Syst., vol. 22, no. 1, pp. 98-101, 1986.
  6. H. Urkowitz, "Energy detection of unknown deterministic signals," in Proc. of the IEEE, vol. 55, no. 4, pp. 523-531, Apr. 1967. https://doi.org/10.1109/PROC.1967.5573
  7. T. J. Ross, "Fuzzy logic with engineering applications," John Wiley Sons, pp. 148-152, 2004.
  8. M. Matinmikko at el., "Application of fuzzy logic to cognitive radio systems," IEICE Trans. Comm., vol. E92-B, no. 12, pp. 3572-3580, Dec. 2009. https://doi.org/10.1587/transcom.E92.B.3572
  9. S. J. Shellhammer et al, "Performance of power detector sensors of DTV signals in IEEE 802.22 WRANs," in Proc. of The 1st Int. Workshop on Technology and Policy For Accessing Spectrum, vol. 222, ACM Press New York, NY, USA, Aug. 2006.
  10. F. Vartiainen et al, "A blind signal localization and SNR estimation method," in Proc. of IEEE Military Communications Conference, pp. 1-7, Oct. 2006.
  11. F. Sui and G. Lindong, "A novel blind SNR estimator based on the modified PASTd algorithm for IF signals," in Proc. of Int. Conf. on systems and networks communications, pp. 45-48, Oct. 2006.
  12. J. Hua et al., "An adaptive signal-to-noise ratio estimator in mobile communication channels," Digital Signal Processing, Sep. 2009.
  13. J. Ma and Y. Li, "Soft combination and detection for cooperative spectrum sensing in cognitive radio networks," in Proc. of The 2007 IEEE Global telecommunication Conf., pp. 3139-3143, Nov. 2007.

피인용 문헌

  1. Cooperative Spectrum Sensing using Kalman Filter based Adaptive Fuzzy System for Cognitive Radio Networks vol.6, pp.1, 2010, https://doi.org/10.3837/tiis.2012.01.016
  2. Generalized Likelihood Ratio Test For Cyclostationary Multi-Antenna Spectrum Sensing vol.8, pp.8, 2010, https://doi.org/10.3837/tiis.2014.08.011
  3. An Fuzzy-based Risk Reasoning Driving Strategy on VANET vol.16, pp.6, 2010, https://doi.org/10.7472/jksii.2015.16.6.57
  4. Unscented Kalman Filter Based on Spectrum Sensing in a Cognitive Radio Network Using an Adaptive Fuzzy System vol.2, pp.4, 2018, https://doi.org/10.3390/bdcc2040039