CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
Reseach Article

Analysis of Cognitive Radio Spectrum Sensing Techniques

by Md. Shahnawaz Shaikh, Kamlesh Gupta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 102 - Number 12
Year of Publication: 2014
Authors: Md. Shahnawaz Shaikh, Kamlesh Gupta
10.5120/17864-8805

Md. Shahnawaz Shaikh, Kamlesh Gupta . Analysis of Cognitive Radio Spectrum Sensing Techniques. International Journal of Computer Applications. 102, 12 ( September 2014), 1-7. DOI=10.5120/17864-8805

@article{ 10.5120/17864-8805,
author = { Md. Shahnawaz Shaikh, Kamlesh Gupta },
title = { Analysis of Cognitive Radio Spectrum Sensing Techniques },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 102 },
number = { 12 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume102/number12/17864-8805/ },
doi = { 10.5120/17864-8805 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:32:54.331333+05:30
%A Md. Shahnawaz Shaikh
%A Kamlesh Gupta
%T Analysis of Cognitive Radio Spectrum Sensing Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 102
%N 12
%P 1-7
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In wireless communication, signal in its propagation path always gets affected by noise signal. The radio link between transmitter and receiver varies randomly during signal propagation. This radio link may offer simple line-of-sight or multipath propagation of communication signal depending on channel condition and channel type. Sensing performance of cognitive radio network may also gets affected over various channels and requires to be calculated. This paper enlightens the implementation and analysis through simulation of Matched filtering, Energy detection and Cyclostationary feature detection cognitive radio spectrum sensing techniques over AWGN, Rician and Rayleigh fading channels. It also contains combined analysis of the three techniques in terms of the SNR vs decision accuracy plots over AWGN, Rician fading and Rayleigh fading channels.

References
  1. V. Stoianovici, V. Popescu, M. Murroni, "A survey on spectrum sensing techniques for cognitive radio," Bulletin of the Transilvania University of Brasov Vol. 15 (50) 2008.
  2. Anita Garhwal and Partha Pratim Bhattacharya, "A survey on spectrum sensing techniques in cognitive radio," International Journal of Computer Science Communication Networks, Vol 1(2), 196-206.
  3. Sajjad Ahmad Ghauri, I M Qureshi, M. Farhan Sohail, SherazAlam, M. Anas Ashraf, "Spectrum sensing for cognitive radio networks over fading channels," International Journal of Computer and Electronics Research Vol. 2, Issue 1, February 2013.
  4. Anirudh M. Rao, B. R. Karthikeyan, Dipayan mazumdar, Govind R. Kadambi,"Energy detection technique for spectrum sensing in cognitive radio," SASTECH Vol. 9, Issue 1, April 2010.
  5. Mahmood A. Abdulsattar and Zahir A. Hussein, "Energy detection technique for Spectrum sensing in cognitive Radio," International Journal of Computer Networks Communications (IJCNC) Vol. 4, No. 5, September 2012.
  6. Danijela Cabric, Shridhar Mubaraq Mishra, Robert W. Brodersen Berkeley Wireless Research Center, University of California, Berkeley IEEE Paper, "Implementation issues in spectrum sensing for cognitive radios," in Proc. the 38th. Asilomar Conference on Signals, Systems and Computers, year 2004, pages 772-776.
  7. Tevfik Yucek and Huseyin Arslan, "A survey of spectrum sensing algorithms for cognitive radio applications," IEEE communications surveys tutorials, Vol. 11, no. 1, first quarter 2009.
  8. Mansi Subhedar1 and Gajanan Birajdar, "Spectrum sensing techniques in cognitive radio networks: a survey," International Journal of Next-Generation Networks (IJNGN) Vol. 3, No. 2, June 2011, DOI : 10. 5121/ijngn. 2011. 3203 37.
  9. A. Rahim Biswas, Tuncer Can Aysal, Sithamparanathan Kandeepan, Dzmitry Kliazovich, Radoslaw Piesiewicz, "Cooperative shared spectrum sensing for dynamic cognitive radio networks," Broadband and Wireless Group, Create-Net International Research Centre, Trento, Italy, EUWB (FP7-ICT- 215669).
  10. Nishant Dev Khaira, Prateek Bhadauria, "Cooperative spectrum sensing and detection efficiency in cognitive radio network," International Journal of Electronics and Computer Science Engineering ISSN-2277-1956.
  11. Amir Ghasemi, Communications Research Centre Canada and University of Toronto Elvino S. Sousa, University of Toronto, "Spectrum sensing in cognitive radio networks: Requirements, Challenges and Design Trade-offs," IEEE Communications Magazine April 2008.
  12. Paul D. Sutton, Member IEEE, Keith E. Nolan, Member IEEE and Linda E. Doyle, Member IEEE, "Cyclostationary signatures in practical cognitive radio applications," IEEE journal on selected areas in communications, Vol. 26, no. 1, January 2008.
  13. Dong-Chan Oh and Yong-Hwan Lee, "Energy detection based spectrum sensing for sensing error minimization in cognitive radio networks," International Journal of Communication Networks and Information Security (IJCNIS) Vol. 1, No. 1, April 2009.
  14. Komal Arora, Ankush Kansal, Kulbir Singh, "Comparison of energy detection based spectrum sensing methods over fading channels in cognitive radio signal processing," An International Journal (SPIJ), Vol (5) : Issue (2) : 2011 44.
  15. Md. Shamim Hossain, Md. Ibrahim Abdullah, Mohammad Alamgir Hossain, "Energy detection performance of spectrum sensing in cognitive radio," I. J. Information Technology and Computer Science, 2012, 11, 11-17 Published Online October 2012 in MECS (http://www. mecs-press. org/) DOI: 10. 5815/ijitcs. 2012. 11. 02.
  16. Miguel Lpez-Bentez and Fernando Casadevall, "Improved energy detection spectrum sensing for cognitive radio," Thsis paper published in IET communication publication, IET Communications(2012), 6(8):785.
  17. Saqib Saleem and Khurram Shahzad, "Performance evaluation of energy detection based spectrum sensing technique for wireless channel," International journal of multidisciplinary sciences and engineering, Vol. 3, no. 5, may 2012.
  18. Zhiqiang Bao, Bin Wu, Pin-Han Ho and Xiang Ling, "Adaptive threshold control for energy detection based spectrum sensing in cognitive radio networks," This full text paper was peer reviewed at the direction of IEEE Communications Society subject matter experts for publication in the IEEE Globecom 2011 proceedings.
  19. S. Shobana, R. Saravanan, R. Muthaiah, "Matched filter based spectrum sensing on cognitive radio for OFDM WLANs," International Journal of Engineering and Technology (IJET), Vol. 5 Issue 1, p142, February 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Cognitive Spectrum sensing Energy detection Matched filtering Cyclostationary detection Cooperative sensing