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Reseach Article

Performance Analysis of Correlated Multiple Antenna Spectrum Sensing Cognitive Radio

by Aamir Z. Shaikh, Talat Altaf
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 50 - Number 5
Year of Publication: 2012
Authors: Aamir Z. Shaikh, Talat Altaf
10.5120/7769-0848

Aamir Z. Shaikh, Talat Altaf . Performance Analysis of Correlated Multiple Antenna Spectrum Sensing Cognitive Radio. International Journal of Computer Applications. 50, 5 ( July 2012), 28-31. DOI=10.5120/7769-0848

@article{ 10.5120/7769-0848,
author = { Aamir Z. Shaikh, Talat Altaf },
title = { Performance Analysis of Correlated Multiple Antenna Spectrum Sensing Cognitive Radio },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 50 },
number = { 5 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 28-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume50/number5/7769-0848/ },
doi = { 10.5120/7769-0848 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:47:32.900516+05:30
%A Aamir Z. Shaikh
%A Talat Altaf
%T Performance Analysis of Correlated Multiple Antenna Spectrum Sensing Cognitive Radio
%J International Journal of Computer Applications
%@ 0975-8887
%V 50
%N 5
%P 28-31
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

We derive probability of detection Pd and false alarm Pf for spectrum sensing cognitive devices, employing correlated multiple antenna elements using linear test statistic. Detection performance of such sensors is severely degraded due to the correlation among antennas, in addition to that fading channel conditions may further deteriorate the performance. We propose a simple hard decision fusion strategy at the secondary Base Station to improve the performance by exploiting collaborative gain. Region of Convergence (ROC) is also evaluated under OR based fusion strategy. Numerical results certify the proposed proposal.

References
  1. Haykin, S. 2005. Cognitive radio: brain-empowered wireless communications. Selected Areas in Communications, IEEE Journal on, vol. 23, no. 2, pp. 201- 220, Feb. 2005.
  2. Yucek, T. ; Arslan, H. 2009. A survey of spectrum sensing algorithms for cognitive radio applications," Communications Surveys & Tutorials, IEEE , vol. 11, no. 1, pp. 116-130, First Quarter 2009.
  3. Tandra, R. ; Sahai, A. 2008. SNR Walls for Signal Detection. IEEE Journal of Selected Topics in Signal Processing,Volume:2,Issue: 1. 2008.
  4. Sungtae Kim; Jemin Lee; Hano Wang; Daesik Hong. 2009. Sensing Performance of Energy Detector With Correlated Multiple Antennas," Signal Processing Letters, IEEE , vol. 16, no. 8, pp. 671-674, Aug. 2009
  5. Taherpour, A. ; Nasiri-Kenari, M. ; Gazor, S. 2010. Multiple antenna spectrum sensing in cognitive radios. Wireless Communications, IEEE Transactions on , vol. 9, no. 2, pp. 814-823, February 2010.
  6. Pandharipande, A. ; Linnartz, J. -P. M. G. 2007. Performance Analysis of Primary User Detection in a Multiple Antenna Cognitive Radio. Communications, 2007. ICC '07. IEEE International Conference on , vol. , no. , pp. 6482-6486, 24-28 June 2007.
  7. Singh, A. ; Bhatnagar, M. R. ; Mallik, R. K. 2012. Cooperative Spectrum Sensing in Multiple Antenna Based Cognitive Radio Network Using an Improved Energy Detector. Communications Letters, IEEE, vol. 16, no. 1, pp. 64-67, January 2012
  8. Banjade, V. R. S. ; Rajatheva, N. ; Tellambura, C. 2012. Performance Analysis of Energy Detection with Multiple Correlated Antenna Cognitive Radio in Nakagami-m Fading. Communications Letters, IEEE , vol. 16, no. 4, pp. 502-505, April 2012.
  9. Tugnait, J. K. 2012. On Multiple Antenna Spectrum Sensing Under Noise Variance Uncertainty and Flat Fading. IEEE Transactions on Signal Processing. Volume: 60, Issue: 4. 2012 page(s): 1823-1832.
  10. Lei Shen; Haiquan Wang; Wei Zhang; Zhijin Zhao, 2012. Multiple Antennas Assisted Blind Spectrum Sensing in Cognitive Radio Channels. Communications Letters, IEEE , vol. 16, no. 1, pp. 92-94, January 2012.
  11. Wimalajeewa, T. ; Varshney, P. K. 2011. Polarity-Coincidence-Array Based Spectrum Sensing for Multiple Antenna Cognitive Radios in the Presence of Non-Gaussian Noise. Wireless Communications, IEEE Transactions on , vol. 10, no. 7, pp. 2362-2371, July 2011.
  12. Zayen, B. ; Hayar, A. 2012. Dimension estimation based detector for multiple-antenna cognitive radio networks. Telecommunications (ICT), 2012 19th International Conference on , vol. , no. , pp. 1-4, 23-25 April 2012
  13. G. D. Durgin and T. S. Rappaport. 1999. Effects of Multipath Angular Spread on The Spatial Cross-Correlation of Received Voltage Envelopes. IEEE 49th Vehicular Technology Conference, Vol 2, pp. 996-1000, May 1999.
Index Terms

Computer Science
Information Sciences

Keywords

correlated multiple antenna energy detector linear statistic cognitive radio cooperation collaboration gain hard decision strategy