Skip to main content
Log in

What About Spectrum Opportunities in ‘Angle’ Dimension for Dynamic Spectrum Access in Cognitive Radio Network context? A new Paradigm in Spectrum Sensing

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

The cognitive radio technology is the new paradigm to fulfill ever increasing need of bandwidth ultimately the radio spectrum by accommodating the radio spectrum dynamically to secondary users/unlicensed users without causing the interference. In cognitive radio, the spectrum opportunities have been checked for Space, Time and frequency dimensions but ‘Angle’ dimension has not been explored till now. In this paper we have investigated accuracy of various ‘Angle-of-Arrival (AoA)’ estimation algorithms: ESPRIT, MUSIC, Bartlett, and Capon for opportunistic secondary users’ network under AWGN and time varying fading channels. The improvement in performance of these algorithms has been observed as array elements, signal-to-noise ratio and samples increases. An ‘adaptive thresholding’ technique has been proposed to improve the performance of AoA algorithms. Thus by estimating an ‘Angle-of- Arrival’ of licensed users, the unlicensed users can be accommodated in the same geographical area into the same channel in the same frequency band at the same time by directing unlicensed users’ beam in different direction than the direction of licensed users. Thereby improving spectrum utilization.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18

Similar content being viewed by others

References

  1. FCC. (2002). Spectrum policy task force report. In Proceedings of the Federal Communications Commission (FCC ’02), Washington, DC, USA, November 2002.

  2. Mitola, J., & Maguire, G. Q. (August 1999). Cognitive radio: Making software radiosmore personal. IEEE Personal Communications, 6(4), 13–18.

  3. Sherman, M., Mody, A., Martinez, R., Reddy, R., & Rodriguez, C. (2008). IEEE standards supporting cognitive radio and networks, dynamic spectrum access, and coexistence. IEEE Communications Magazine, 72–79.

  4. Dhope, T., Simunic, D., & Prasad, R. (2011). TVWS opportunities and regulation:-empowering rural India. 14th international symposium on WPMC ’11, pp. 201–205. Brest, France, October 2011.

  5. Dhope, T., Simunic, D., & Prasad, R. (2011). TVWS opportunities and regulatory aspects in India. 14th international symposium on WPMC ’11. Brest, France, October 2011.

  6. Dhope, T., Simunic, D., & Prasad, R. (2011). Hybrid detection method for cognitive radio. 13th international conferenace on SoftCOM SoftCOM2011, Split-Hvar-Dubrovnik, SS1-78741-1609, pp. 1–5, September 2011.

  7. Dhope, T., Simunic, D., & Kerner, A. (2012). Spectrum Sensing Algorithms for IEEE 802.11 af Standard in Cognitive Radio Network*. Studies in informatics and Control, 21(1), 93–100.

    Google Scholar 

  8. Dhope, T., Simunic, D., & Prasad, R. (2012). TVWS radio spectrum utilisation: Use case of India-looking forward. Journal of Green Engineering, 3(1), 91–112.

    Google Scholar 

  9. Dhope, T., & Simunic, D. (2012). Spectrum sensing algorithm for cognitive radio networks for dynamic spectrum access for IEEE 802.11 af standard. International Journal of Research and Reviews in Wireless Sensor Networks, UK, 2(1), 77–84.

    Google Scholar 

  10. Dhope, T., Simunic, D., & Kerner, A. (2012). Analyzing the performance of spectrum sensing algorithms for IEEE 802.11af Standard in CR Network*. Studies in informatics and Control, 21(1), 93–100. ISSN 1220–1766.

    Google Scholar 

  11. Dhope, T., Patil, S. S., Rajeshwarkar, V., & Simunic, D. (2013). Performance analysis of hard combing schemes in cooperative spectrum sensing for cognitive radio networks. IJEAT, 2(3), 170–175. ISSN: 2249–8958.

  12. Dhope, T., & Simunic, D. (2012). Performance analysis of covariance based detection in cognitive radio. 35th Jubilee international convention MIPRO 2012, Opatija, Croatia, pp. 737–742, May 2012.

  13. Dhope, T., & Simunic, D. (2012). Hybrid detection method for spectrum sensing in cognitive radio. 35th Jubilee international convention MIPRO 2012, pp. 765–770. Opatija, Croatia, May 2012.

  14. Yücek, T., & Arslan, H. (2009). A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Surveys & Tutorials, 11(1), 116–130. FIRST QUARTER

    Google Scholar 

  15. Dhope, T., Simunic, D., & Djurek, M. (2010). Application of AoA estimation algorithms in smart antenna systems. Studies in informatics and Control, 19(4), 445–452.

    Google Scholar 

  16. Trees, H. (2002). Optimum array processing, detection, estimation and modulation, Part IV. Wiley, New York.

  17. Dhope, T., & Simunic, D. (2012). On the performance of AoA estimation algorithms in cognitive radio networks. Accepted and presented in international conference on communication, information and computing technology (ICCICT)-2012, Mumbai, India, pp 1–5. Oct. 18th–20th 2012.

  18. Weber, R. J., & Huang, Y. (2009). Analysis for Capon and MUSIC AOA estimation algorithms. Antennas and propagation society international symposium, 2009. APSURSI ’09, pp. 1–4.

  19. Jalali, M., Moghaddasi, M., & Habibzadeh, A. (2009). Comparing accuracy for ML, MUSIC, ROOT-MUSIC and spatially smoothed algorithms for 2 users. Microwave symposium (MMS), 2009 mediterrannean IEEE conference, pp. 1–5.

  20. Khan, Z. I., Awang, R. A., Sulaiman, A. A., Jusoh, M. H., Baba, N. H., Kamal, M. M. D., et al. (2008). Performance analysis for estimation of signal parameters via rotational invariance technique (ESPRIT) in estimating direction of arrival for linear array antenna. IEEE international conference on RF and microwave conference, 2008, pp. 530–533, Dec. 2008.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tanuja Satish Dhope.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Dhope, T.S., Šimunić, D., Dhokariya, N.S. et al. What About Spectrum Opportunities in ‘Angle’ Dimension for Dynamic Spectrum Access in Cognitive Radio Network context? A new Paradigm in Spectrum Sensing. Wireless Pers Commun 76, 379–397 (2014). https://doi.org/10.1007/s11277-014-1712-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-014-1712-4

Keywords

Navigation