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Blind Spectrum Sensing in Cognitive Radio Using Right Anderson Darling Test

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Communications and Networking (ChinaCom 2016)

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Abstract

Goodness of Fit tests have been used to find available spectrum with excellent detection performance in Cognitive Radio System. To extend those works, in this paper, we reformulate the spectrum sensing as a unilateral Goodness of Fit testing problem. With difference to previous available works, a random variable that obeys central F distribution with presence of primary user (PU) signal and a non-F distribution with absence of PU signal, which provides technical support for achieving blind spectrum sensing; furthermore, inspired by the thought of unilateral hypothesis test, we apply Right Anderson Darling (RAD) test to achieve bind spectrum sensing and derive a blind spectrum sensing called RAD sensing. Finally, the validness of proposed algorithm is proved by enormous Monte Carlo simulations.

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References

  1. Yinghui, Y., Guangyue, L.: Blind spectrum sensing based on the ratio of mean square to variance. J. China Univ. Posts Telecommun. 23(1), 42–48 (2016)

    Article  Google Scholar 

  2. Yucek, T., Arslan, H.: A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Commun. Surv. Tutor. 11(1), 116–130 (2015)

    Article  Google Scholar 

  3. Bhargavi, D., Murthy, C.R.: Performance comparison of energy, matched-filter and cyclostationarity-based spectrum sensing. In: 2010 IEEE Eleventh International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 1–5. IEEE (2010)

    Google Scholar 

  4. Abdulsattar, M.A., Hussein, Z.A.: Energy detection technique for spectrum sensing in cognitive radio: a survey. Int. J. Comput. Netw. Commun. 4(5), 223–242 (2012)

    Article  Google Scholar 

  5. Lu, G.-Y., Mi, Y., Bao, Z.-Q., et al.: The cooperative spectrum sensing algorithms based on eigenvalue structure of the received signal. J. Xi’an Univ. Posts Telecommun. 19(2), 1–12 (2014). (in Chinese)

    Google Scholar 

  6. He, Y., Ratnarajah, T., Yousif, E.H.G., et al.: Performance analysis of multi-antenna GLRT-based spectrum sensing for cognitive radio. Sig. Process. 120, 580–593 (2016)

    Article  Google Scholar 

  7. Wang, H., Yang, E.H., Zhao, Z., et al.: Spectrum sensing in cognitive radio using goodness of fit testing. IEEE Trans. Wirel. Commun. 8(11), 5427–5430 (2009)

    Article  Google Scholar 

  8. Ye, Y., Lu, G., Mi, Y.: Employing sample features for blind spectrum sensing algorithm. J. Sig. Process. 32(4), 444–450 (2016)

    Google Scholar 

  9. Shen, L., Wang, H., Zhang, W., et al.: Blind spectrum sensing for cognitive radio channels with noise uncertainty. IEEE Trans. Wirel. Commun. 10(6), 1721–1724 (2011)

    Article  Google Scholar 

  10. Shen, L., Wang, H.Q., Zhao, Z.J., et al.: Blind spectrum sensing based on goodness of fit test for cognitive radio in noise of uncertain power. J. Commun. 32(11), 27–34 (2011)

    Google Scholar 

  11. Shen, L., Wang, H., Zhang, W., et al.: Multiple antennas assisted blind spectrum sensing in cognitive radio channels. IEEE Commun. Lett. 16(1), 92–94 (2012)

    Article  Google Scholar 

  12. Shen, L., Chen, P., Wang, H., et al.: Bind spectrum sensing in MIMO cognitive radio channels. Chin. J. Radio Sci. 28(6), 1110–1115 (2013)

    Google Scholar 

  13. Jin, M., Guo, Q., Xi, J., et al.: Spectrum sensing based on goodness of fit test with unilateral alternative hypothesis. Electron. Lett. 50(22), 1645–1646 (2014)

    Article  Google Scholar 

  14. Sinclair, C.D., Spurr, B.D., Ahmad, M.I.: Modified anderson darling test. Commun. Stat.- Theory Methods 19(10), 3677–3686 (1990)

    Article  Google Scholar 

  15. Cochran, W.G.: The distribution of quadratic forms in a normal system, with applications to the analysis of covariance. Math. Proc. Cambridge Philos. Soc. 30(02), 178–191 (1934)

    Article  MATH  Google Scholar 

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Acknowledgement

This work was supported by Natural Science Foundation of China (61271276, 61301091), and Natural Science Foundation of Shaanxi Province (2014JM8299).

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Authors and Affiliations

  1. National Engineering Laboratory for Wireless Security, Xi’an University of Posts and Telecommunications, Xi’an, China

    Yuxin Li, Guangyue Lu & Cai Xu

  2. State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China

    Yinghui Ye

Authors
  1. Yuxin Li
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  2. Yinghui Ye
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  3. Guangyue Lu
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  4. Cai Xu
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Corresponding author

Correspondence to Yinghui Ye .

Editor information

Editors and Affiliations

  1. Post and Telecommunications, Chongqing University, Chongqing, China

    Qianbin Chen

  2. Harbin Institute of Technology (HIT), Harbin, China

    Weixiao Meng

  3. Xidian University, Xi’an, China

    Liqiang Zhao

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Li, Y., Ye, Y., Lu, G., Xu, C. (2018). Blind Spectrum Sensing in Cognitive Radio Using Right Anderson Darling Test. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66628-0_17

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  • DOI: https://doi.org/10.1007/978-3-319-66628-0_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66627-3

  • Online ISBN: 978-3-319-66628-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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