An alternative selection based detection method for spectrum sensing for cognitive radio

V. C. Abdul Rahim; H. S. Mruthyunjaya; K. Vishnamurthy Kedalya

doi:10.1109/ICACC.2013.23

An alternative selection based detection method for spectrum sensing for cognitive radio

V. C. Abdul Rahim, H. S. Mruthyunjaya, K. Vishnamurthy Kedalya

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

For a cognitive radio, its primary task is to find unutilized portion of the spectrum more precisely for successful implementation of dynamic spectrum sensing. In this paper, first a comparison of two spectrum sensing techniques namely energy detection and covariance absolute value detection method is done for various input data. A new spectrum sensing method named as an alternative selection based detection method which comprises of both energy detection and covariance absolute value detection method to improve the detection probability is described. The simulation results prove that the performance of an alternative selection based detection method is better compared to energy detection and covariance absolute value detection method alone.

Original language	English
Title of host publication	Proceedings - 2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013
Pages	90-93
Number of pages	4
DOIs	https://doi.org/10.1109/ICACC.2013.23
Publication status	Published - 2013
Event	2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013 - Kochi, Kerala, India Duration: 29-08-2013 → 31-08-2013

Conference

Conference	2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013
Country/Territory	India
City	Kochi, Kerala
Period	29-08-13 → 31-08-13

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10.1109/ICACC.2013.23

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title = "An alternative selection based detection method for spectrum sensing for cognitive radio",

abstract = "For a cognitive radio, its primary task is to find unutilized portion of the spectrum more precisely for successful implementation of dynamic spectrum sensing. In this paper, first a comparison of two spectrum sensing techniques namely energy detection and covariance absolute value detection method is done for various input data. A new spectrum sensing method named as an alternative selection based detection method which comprises of both energy detection and covariance absolute value detection method to improve the detection probability is described. The simulation results prove that the performance of an alternative selection based detection method is better compared to energy detection and covariance absolute value detection method alone.",

author = "{Abdul Rahim}, {V. C.} and Mruthyunjaya, {H. S.} and {Vishnamurthy Kedalya}, K.",

year = "2013",

doi = "10.1109/ICACC.2013.23",

language = "English",

isbn = "9780769550336",

pages = "90--93",

booktitle = "Proceedings - 2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013",

note = "2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013 ; Conference date: 29-08-2013 Through 31-08-2013",

}

Abdul Rahim, VC, Mruthyunjaya, HS & Vishnamurthy Kedalya, K 2013, An alternative selection based detection method for spectrum sensing for cognitive radio. in Proceedings - 2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013., 6686344, pp. 90-93, 2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013, Kochi, Kerala, India, 29-08-13. https://doi.org/10.1109/ICACC.2013.23

An alternative selection based detection method for spectrum sensing for cognitive radio. / Abdul Rahim, V. C.; Mruthyunjaya, H. S.; Vishnamurthy Kedalya, K.
Proceedings - 2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013. 2013. p. 90-93 6686344.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - An alternative selection based detection method for spectrum sensing for cognitive radio

AU - Abdul Rahim, V. C.

AU - Mruthyunjaya, H. S.

AU - Vishnamurthy Kedalya, K.

PY - 2013

Y1 - 2013

N2 - For a cognitive radio, its primary task is to find unutilized portion of the spectrum more precisely for successful implementation of dynamic spectrum sensing. In this paper, first a comparison of two spectrum sensing techniques namely energy detection and covariance absolute value detection method is done for various input data. A new spectrum sensing method named as an alternative selection based detection method which comprises of both energy detection and covariance absolute value detection method to improve the detection probability is described. The simulation results prove that the performance of an alternative selection based detection method is better compared to energy detection and covariance absolute value detection method alone.

AB - For a cognitive radio, its primary task is to find unutilized portion of the spectrum more precisely for successful implementation of dynamic spectrum sensing. In this paper, first a comparison of two spectrum sensing techniques namely energy detection and covariance absolute value detection method is done for various input data. A new spectrum sensing method named as an alternative selection based detection method which comprises of both energy detection and covariance absolute value detection method to improve the detection probability is described. The simulation results prove that the performance of an alternative selection based detection method is better compared to energy detection and covariance absolute value detection method alone.

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DO - 10.1109/ICACC.2013.23

M3 - Conference contribution

AN - SCOPUS:84893252062

SN - 9780769550336

SP - 90

EP - 93

BT - Proceedings - 2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013

T2 - 2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013

Y2 - 29 August 2013 through 31 August 2013

ER -

An alternative selection based detection method for spectrum sensing for cognitive radio

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