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Effect of Primary User Traffic on the Performance of Robust and Conventional Goodness of Fit (GOF) Test based Spectrum Sensing Methods in Cognitive Radio

Year 2017, Volume: 9 Issue: 3, 90 - 99, 26.12.2017
https://doi.org/10.29137/umagd.352935

Abstract

In cognitive radio, users of the spectrum are grouped as primary and secondary users. Primary users are license holders and a certain interval of band is assigned to them. On the other hand, secondary users determine the idle frequency intervals which are not used by primary users. To determine whether a spectrum band is idle or in use, various spectrum sensing techniques have been proposed in the literature. In the studies on goodness of fit (GOF) tests, it is assumed that primary user does not change its status during spectrum analysis. However, when the duration of analysis is long, the status of primary user may change. In this study, effect of the primary user traffic on the sensing performance of GOF test based spectrum sensing methods is investigated. According to simulation results, it has been observed that changes in the primary user status adversely affect the sensing performance.

References

  • Arshad, K., & Moessner, K. (2013). Robust spectrum sensing based on statistical tests. IET Comm., 7 (9), 808- 817. doi: 10.1049/iet-com.2012.0499
  • Beaulieu N. C., & Chen Y. (2010). Improved energy detectors for cognitive radios with randomly arriving or departing primary users. IEEE Signal Processing Letters, 17 (10), 867-870. doi: 10.1109/LSP.2010.2064768
  • Düzenli, T., & Akay, O. (2013). Bilişsel radyolar için birincil kullanıcı trafiği içeren kanallarda dinamik programlama ve ortalama kümülatif toplama dayalı yeni bir test istatistiğinin önerilmesi. V. İletişim Teknolojileri Ulusal Sempozyumu, İzmir, Turkey, 1-10.
  • Düzenli, T., & Akay, O. (2016). A new spectrum sensing strategy for dynamic primary users in cognitive radio. IEEE Communications Letters, 20 (4), 752-755. doi: 10.1109/LCOMM.2016.2527640
  • Glen, A. G., Leemis, L. M., & Barr, D. R. (2001). Order statistics in goodness-of-fit testing. IEEE Transactions on Reliability, 50 (2), 209-213. doi: 10.1109/24.963129
  • Lei, S., Wang, H., & Shen, L. (2011). Spectrum sensing based on goodness of fit tests. International Conf. on Electr., Comm. and Cont. (ICECC), Ningbo, China, 485 – 489. doi: 10.1109/ICECC.2011.6067691
  • N.-Thanh, N., K.-Xuan, T., & Koo, I. (2012). Comments on “Spectrum sensing in cognitive radio using goodness-of-fit testing”. IEEE Trans. on Wireless Comm., 11 (10), 3409 – 341. doi: 10.1109/TWC.2012.081312.110951
  • Rostami, S., Arshad, K., & Moessner, K. (2012). Order-statistic based spectrum sensing for cognitive radio. IEEE Comm. Lett., 16 (5), 592 -595. doi: 10.1109/LCOMM.2012.030512.111887
  • Stephens, M. A. (1974). EDF statistics for goodness of fit and some comparisons. Journal of the American Statistical Association, 69 (347), 730-737.
  • Wang, H., Yang, E., Zhao, Z., & Zhang, W. (2009). Spectrum sensing in cognitive radio using goodness of fit testing. IEEE Trans. on Wireless Comm., 8 (11), 5427 – 5430. doi: 10.1109/TWC.2009.081586
  • Yücek, T., & Arslan, H. (2009). A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Survey & Tutorials, 11 (1), 116-130. doi: 10.1109/HMI.2016.7449196
  • Zhang, J. (2002). Powerful goodness-of-fit tests based on the likelihood ratio. J. R. Statist. Soc. B Part (2), 64, 281- 294. doi: 10.1111/1467-9868.00337
Year 2017, Volume: 9 Issue: 3, 90 - 99, 26.12.2017
https://doi.org/10.29137/umagd.352935

Abstract

References

  • Arshad, K., & Moessner, K. (2013). Robust spectrum sensing based on statistical tests. IET Comm., 7 (9), 808- 817. doi: 10.1049/iet-com.2012.0499
  • Beaulieu N. C., & Chen Y. (2010). Improved energy detectors for cognitive radios with randomly arriving or departing primary users. IEEE Signal Processing Letters, 17 (10), 867-870. doi: 10.1109/LSP.2010.2064768
  • Düzenli, T., & Akay, O. (2013). Bilişsel radyolar için birincil kullanıcı trafiği içeren kanallarda dinamik programlama ve ortalama kümülatif toplama dayalı yeni bir test istatistiğinin önerilmesi. V. İletişim Teknolojileri Ulusal Sempozyumu, İzmir, Turkey, 1-10.
  • Düzenli, T., & Akay, O. (2016). A new spectrum sensing strategy for dynamic primary users in cognitive radio. IEEE Communications Letters, 20 (4), 752-755. doi: 10.1109/LCOMM.2016.2527640
  • Glen, A. G., Leemis, L. M., & Barr, D. R. (2001). Order statistics in goodness-of-fit testing. IEEE Transactions on Reliability, 50 (2), 209-213. doi: 10.1109/24.963129
  • Lei, S., Wang, H., & Shen, L. (2011). Spectrum sensing based on goodness of fit tests. International Conf. on Electr., Comm. and Cont. (ICECC), Ningbo, China, 485 – 489. doi: 10.1109/ICECC.2011.6067691
  • N.-Thanh, N., K.-Xuan, T., & Koo, I. (2012). Comments on “Spectrum sensing in cognitive radio using goodness-of-fit testing”. IEEE Trans. on Wireless Comm., 11 (10), 3409 – 341. doi: 10.1109/TWC.2012.081312.110951
  • Rostami, S., Arshad, K., & Moessner, K. (2012). Order-statistic based spectrum sensing for cognitive radio. IEEE Comm. Lett., 16 (5), 592 -595. doi: 10.1109/LCOMM.2012.030512.111887
  • Stephens, M. A. (1974). EDF statistics for goodness of fit and some comparisons. Journal of the American Statistical Association, 69 (347), 730-737.
  • Wang, H., Yang, E., Zhao, Z., & Zhang, W. (2009). Spectrum sensing in cognitive radio using goodness of fit testing. IEEE Trans. on Wireless Comm., 8 (11), 5427 – 5430. doi: 10.1109/TWC.2009.081586
  • Yücek, T., & Arslan, H. (2009). A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Survey & Tutorials, 11 (1), 116-130. doi: 10.1109/HMI.2016.7449196
  • Zhang, J. (2002). Powerful goodness-of-fit tests based on the likelihood ratio. J. R. Statist. Soc. B Part (2), 64, 281- 294. doi: 10.1111/1467-9868.00337
There are 12 citations in total.

Details

Journal Section Articles
Authors

Timur Düzenli 0000-0003-0210-5626

Olcay Akay

Publication Date December 26, 2017
Submission Date October 8, 2017
Published in Issue Year 2017 Volume: 9 Issue: 3

Cite

APA Düzenli, T., & Akay, O. (2017). Effect of Primary User Traffic on the Performance of Robust and Conventional Goodness of Fit (GOF) Test based Spectrum Sensing Methods in Cognitive Radio. International Journal of Engineering Research and Development, 9(3), 90-99. https://doi.org/10.29137/umagd.352935

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