Performance Analysis of Spectrum Sensing Algorithm Using Multiple Antenna in Cognitive Radio

  • Komal PawarEmail author
  • Tanuja Dhope
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 625)


There is a rapid growth and development of new wireless devices and applications therefore, there’s a need for more wireless radio spectrum. Cognitive radio is used to solve spectrum scarcity and meet the ever increasing demand of the spectrum using dynamic spectrum access. In context to cognitive radio, spectrum sensing is found to be a crucial task. In this paper, we have evaluated the energy detection technique for spectrum sensing using time domain and frequency domain- periodogram method. For performance comparison parameters like the probability of detection, probability of the missing signal detection and the false alarm probability for change in values of signal to noise ratio, sample count are taken into consideration. Multipath and shadowing effects are reduced using multiple antenna techniques which provide better bit error rates.


Spectrum sensing Energy detection Multiple antenna 



I hereby acknowledge my advisor Prof. Tanuja S. Dhope for guiding me in the right direction and also provide sincere gratitude to G.H.R.C.E.M, PUNE for providing framework to accomplish our work.


  1. 1.
    Maleki, S., Pandharipande, A., Leus, G.: Energy-efficient distributed spectrum sensing for cognitive sensor networks. In: IECON (2009)Google Scholar
  2. 2.
    Kaligineedi, P., Khabbazian, M.: Malicious user detection in a cognitive radio cooperative sensing system. IEEE Trans. Wirel. Commun. 9(8), 2488–2497 (2010)CrossRefGoogle Scholar
  3. 3.
    Haykin, S.: Cognitive radio: brain-empowered wireless communications. IEEE J. Sel. Areas Commun. 23, 201–220 (2005)CrossRefGoogle Scholar
  4. 4.
    Dhope, T., Simunic, D., Kerner, A.: Analyzing the performance of spectrum sensing algorithms for IEEE 802.11 of standard in cognitive radio network. Stud. Inf. Control 21(1), 93–100 (2012)Google Scholar
  5. 5.
    Ganesan, G., (Geoffrey) Li, Y.: Agility improvement through cooperative diversity in cognitive radio. In: School of Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, Georgia, pp. 30332–30250Google Scholar
  6. 6.
    Urkowitz, H.: Energy detection of unknown deterministic signals. Proc. IEEE 55, 523–531 (1967)CrossRefGoogle Scholar
  7. 7.
    Pandhari, A., Linnartz, J.: Performance analysis of primary user detection in multiple antenna cognitive radio. In: Proceedings of the IEEE International Conference on Communication (ICC 2007), pp. 6482–6486 (2007)Google Scholar
  8. 8.
    Lee, J.-H., Baek, J.-H., Hwang, S.-H.: Collaborative Spectrum Sensing using Energy Detector in Multiple Antenna System. Department of Electronics Engineering, Dongguk University, SeoulGoogle Scholar
  9. 9.
    Thesis on: Spectrum sensing techniques for Cognitive radio systems with multiple Antennas. by Refik Fatih ÜSTOK Submitted to the Graduate School of Engineering and Sciences of İzmir Institute of Technology, June 2010Google Scholar
  10. 10.
    Cabric, S.D., Mishra, S.M., Brodersen, R.W.: Implementation issues in spectrum sensing for cognitive radios. In: Proceedings of Asilomar conference on Signals, Systems, and Computers, vol. 1, pp. 772–776, 7–10 November 2004Google Scholar
  11. 11.
    Digham, F.F., Simon, M.K.: On the energy detection of unknown signals over fading channels. IEEE Trans. Commun. 55(1), 21–24 (2007)CrossRefGoogle Scholar
  12. 12.
    Sadeghi, H., Azmi, P.: A novel primary user detection method for multiple antenna cognitive radio. In: International Symposium on Telecommunications, pp. 188–192 (2008)Google Scholar
  13. 13.
    Letaif, B., Zhang, K.W.: Co-operative communication for cognitive radio networks. Proc. IEEE 97(5), 878–893 (2009)CrossRefGoogle Scholar
  14. 14.
    Lopez-Valcarce, R., Vazquez-Vilar, G., Sala, J.: Multiantenna spectrum sensing for cognitive radio: overcoming noise uncertainty. In: IAPR Workshop on Cognitive Information Processing, pp. 310–315. IEEE (2010)Google Scholar
  15. 15.
    Rathi, S., Dua, R.L., Singh, P.: Spectrum sensing in cognitive radio using MIMO technique. Int. J. Soft Comput. Eng. (IJSCE) 1(5), 259–265 (2011). ISSN: 2231–2307Google Scholar
  16. 16.
    Atapattu, S., Tallambura, C., Jiang, H.: Energy Detection for Spectrum Sensing in Cognitive Radio. Springer, New York (2014)CrossRefGoogle Scholar
  17. 17.
    Bagwari, A., Tomar, G.S., Verma, S.: Cooperative spectrum sensing based on two-stage detectors with multiple energy detectors and adaptive double threshold in cognitive radio networks. Can. J. Electr. Comput. Eng. 36(4), 172–180 (2013)CrossRefGoogle Scholar
  18. 18.
    Yong-feng, W., Ou, L.: Multi-channel coordinated spectrum sensing strategy in multiple antennae based cognitive radio networks (2014)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2016

Authors and Affiliations

  1. 1.G.H.R.C.E.MPuneIndia

Personalised recommendations