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Performance Analysis of Cyclostationary Spectrum Sensing Over Different Fading Channels

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2015
Authors:
Amandeep Singh Bhandari, Charanjit Singh
10.5120/ijca2015906818

Amandeep Singh Bhandari and Charanjit Singh. Article: Performance Analysis of Cyclostationary Spectrum Sensing Over Different Fading Channels. International Journal of Computer Applications 129(1):27-31, November 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Amandeep Singh Bhandari and Charanjit Singh},
	title = {Article: Performance Analysis of Cyclostationary Spectrum Sensing Over Different Fading Channels},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {129},
	number = {1},
	pages = {27-31},
	month = {November},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

In research area of wireless communication, cognitive radio gets more endearment in recent times. The main motive behind the use of cognitive radio is to sense the available spectrum, which is very limited, for the users who wish to use it for the transmission purpose. The users can be primary or secondary, based on, whether they are licensed or un-licensed. Different goals of cognitive radio include spectrum sensing, spectrum sharing, spectrum management, and spectrum mobility. Spectrum sensing plays vital role in the cognitive radio system since it is used to detect signal presence on the air. This paper signifies the role of Cyclostationary Spectrum Sensing technique to define a device capable of detecting OFDM signals in a noisy environment. The work has been done for the applications employed in high frequency, such as, Wi-Fi and WiMAX.

References

  1. W. A. Gardner, "The Spectral Correlation Theory of Cyclostationary Time-Series," in Signal Processing, 1986.
  2. Danijela Cabric, Shridhar Mubaraq Mishra, Robert W. Brodersen, “Implementation Issues in Spectrum Sensing for Cognitive Radios”, IEEE, 2004.
  3. Danijela, S. M. Mishra, D. Willkomm, R. Brodersen and A. Wolisz, "A cognitive radio approach for usage of virtual unlicensed spectrum," in 14th IST Mobile and Wireless Communications Summit, 2005.
  4. Zhi Tian, “A Wavelet Approach to Wideband Spectrum Sensing for Cognitive Radios”, Cognitive Radio Oriented Wireless Networks and Communications, 2006. 1st International Conference, IEEE, 2006.
  5. A. Ghasemi and E. S. Sousa, "Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs," Communications Magazine, IEEE, vol. 46, no. 4, pp. 32-39, 2008.
  6. Zhi Quan, Shuguang Cui, Ali H Sayed, “Optimal linear cooperation for spectrum sensing in cognitive radio networks”, IEEE, Vol. No. 2, Issue No. 1, 2008.
  7. A. Al-Dulaimi and N. Radhi, "Cyclostationary Detection of Undefined Secondary Users," IEEE Computer Society, 2009.
  8. T. Yucek and H. Arslan, "A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications," IEEE Communications Surveys & Tutorials, vol. 11, p. 2009, 2009.
  9. D. Noguet, L. Biard and M. Laugeois, "Cyclostationarity Detectors for Cognitive Radio," Architectural Tradeoffs”, EURASIP Journal on Wireless Communication and Networking, Hindawi Publishing Corporation and Networking, 2010.
  10. Mort Naraghi-Pour and Takeshi Ikuma, “Autocorrelation-Based Spectrum Sensing for Cognitive Radios”, Vehicular Technology, IEEE Transactions, Volume No. 59, Issue No. 2, 2010.
  11. Jeffrey G. Andrews, Arunabha Ghosh, Rias Muhamed, “Fundamentals of WiMAX”, Prentice Hall.
  12. Mahdi Orooji, Reza Soosahabi, Mort Naraghi-Pour, “Blind spectrum sensing using antenna arrays and path correlation”, Vehicular Technology, IEEE Transactions, Volume No. 60, Issue No. 8, 2011.
  13. W. M. Jang, “Blind Cyclostationary Spectrum Sensing in Cognitive Radios”, Communications Letters, IEEE, vol. 18, no. 3, pp. 393-396, 2014.
  14. Mandeep Singh, Amandeep Singh, Charanjeet Singh, “Practical Implementation of Cognitive Radio Using Energy Detection Technique”, International Journal of Engineering and Advanced Technology (IJEAT), Volume-3, Issue-3, February 2014.

Keywords

Cognitive radio, spectrum sensing, Rayleigh fading, Rician fading, FFT accumulation