Hard decision Cooperative Spectrum Sensing based on estimating the noise uncertainty factor

Hossam M. Farag; Ehab Mahmoud Mohamed

doi:10.1109/ICCES.2015.7393049

Hard decision Cooperative Spectrum Sensing based on estimating the noise uncertainty factor

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

8 Citationer (Scopus)

Abstrakt

Spectrum Sensing (SS) comprises the most important component in Cognitive Radio (CR) systems. Cooperative Spectrum Sensing (CSS) is proposed as an effective approach to improve detection performance in fading environments. This paper introduces an efficient energy detection based hard decision CSS algorithm to alleviate the noise uncertainty effect. In the proposed algorithm, the decision threshold is dynamically switched between two levels based on a prior prediction of the Primary User (PU) activity. The two threshold levels are evaluated using an estimated value of the noise uncertainty factor to maximize the probability of detection and minimize the probability of false alarm. The proposed algorithm is studied theoretically to deduce the enhanced detection and false alarm probabilities. Moreover, simulation analysis is used to confirm the theoretical claims and prove the high potency of the proposed scheme compared to the conventional CSS using different fusion rules.

Originalsprog	Engelsk
Titel	Proceedings - 2015 10th International Conference on Computer Engineering and Systems, ICCES 2015
Redaktører	Ayman M. Bahaa El-Din, M. Watheq El-Kharashi, Ahmed M. Zaki, Wahied Gharieb Ali Abdelaal, Mohamad Taher
Antal sider	6
Forlag	Institute of Electrical and Electronics Engineers Inc.
Publikationsdato	25 jan. 2016
Sider	217-222
Artikelnummer	7393049
ISBN (Elektronisk)	9781467399715
DOI	https://doi.org/10.1109/ICCES.2015.7393049
Status	Udgivet - 25 jan. 2016
Begivenhed	10th International Conference on Computer Engineering and Systems, ICCES 2015 - Cairo, Egypten Varighed: 23 dec. 2015 → 24 dec. 2015

Konference

Konference	10th International Conference on Computer Engineering and Systems, ICCES 2015
Land/Område	Egypten
By	Cairo
Periode	23/12/2015 → 24/12/2015
Sponsor	Ain Shams University, IEEE Egypt Section

Navn	Proceedings - 2015 10th International Conference on Computer Engineering and Systems, ICCES 2015

Bibliografisk note

Publisher Copyright:
© 2015 IEEE.

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10.1109/ICCES.2015.7393049

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Citationsformater

Farag, H. M., & Mohamed, E. M. (2016). Hard decision Cooperative Spectrum Sensing based on estimating the noise uncertainty factor. I A. M. B. El-Din, M. W. El-Kharashi, A. M. Zaki, W. G. A. Abdelaal, & M. Taher (red.), Proceedings - 2015 10th International Conference on Computer Engineering and Systems, ICCES 2015 (s. 217-222). [7393049] Institute of Electrical and Electronics Engineers Inc.. Proceedings - 2015 10th International Conference on Computer Engineering and Systems, ICCES 2015 https://doi.org/10.1109/ICCES.2015.7393049

Farag, Hossam M. ; Mohamed, Ehab Mahmoud. / Hard decision Cooperative Spectrum Sensing based on estimating the noise uncertainty factor. Proceedings - 2015 10th International Conference on Computer Engineering and Systems, ICCES 2015. red. / Ayman M. Bahaa El-Din ; M. Watheq El-Kharashi ; Ahmed M. Zaki ; Wahied Gharieb Ali Abdelaal ; Mohamad Taher. Institute of Electrical and Electronics Engineers Inc., 2016. s. 217-222 (Proceedings - 2015 10th International Conference on Computer Engineering and Systems, ICCES 2015).

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abstract = "Spectrum Sensing (SS) comprises the most important component in Cognitive Radio (CR) systems. Cooperative Spectrum Sensing (CSS) is proposed as an effective approach to improve detection performance in fading environments. This paper introduces an efficient energy detection based hard decision CSS algorithm to alleviate the noise uncertainty effect. In the proposed algorithm, the decision threshold is dynamically switched between two levels based on a prior prediction of the Primary User (PU) activity. The two threshold levels are evaluated using an estimated value of the noise uncertainty factor to maximize the probability of detection and minimize the probability of false alarm. The proposed algorithm is studied theoretically to deduce the enhanced detection and false alarm probabilities. Moreover, simulation analysis is used to confirm the theoretical claims and prove the high potency of the proposed scheme compared to the conventional CSS using different fusion rules.",

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Farag, HM & Mohamed, EM 2016, Hard decision Cooperative Spectrum Sensing based on estimating the noise uncertainty factor. i AMB El-Din, MW El-Kharashi, AM Zaki, WGA Abdelaal & M Taher (red), Proceedings - 2015 10th International Conference on Computer Engineering and Systems, ICCES 2015., 7393049, Institute of Electrical and Electronics Engineers Inc., Proceedings - 2015 10th International Conference on Computer Engineering and Systems, ICCES 2015, s. 217-222, 10th International Conference on Computer Engineering and Systems, ICCES 2015, Cairo, Egypten, 23/12/2015. https://doi.org/10.1109/ICCES.2015.7393049

Hard decision Cooperative Spectrum Sensing based on estimating the noise uncertainty factor. / Farag, Hossam M.; Mohamed, Ehab Mahmoud.

Proceedings - 2015 10th International Conference on Computer Engineering and Systems, ICCES 2015. red. / Ayman M. Bahaa El-Din; M. Watheq El-Kharashi; Ahmed M. Zaki; Wahied Gharieb Ali Abdelaal; Mohamad Taher. Institute of Electrical and Electronics Engineers Inc., 2016. s. 217-222 7393049 (Proceedings - 2015 10th International Conference on Computer Engineering and Systems, ICCES 2015).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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AU - Farag, Hossam M.

AU - Mohamed, Ehab Mahmoud

PY - 2016/1/25

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N2 - Spectrum Sensing (SS) comprises the most important component in Cognitive Radio (CR) systems. Cooperative Spectrum Sensing (CSS) is proposed as an effective approach to improve detection performance in fading environments. This paper introduces an efficient energy detection based hard decision CSS algorithm to alleviate the noise uncertainty effect. In the proposed algorithm, the decision threshold is dynamically switched between two levels based on a prior prediction of the Primary User (PU) activity. The two threshold levels are evaluated using an estimated value of the noise uncertainty factor to maximize the probability of detection and minimize the probability of false alarm. The proposed algorithm is studied theoretically to deduce the enhanced detection and false alarm probabilities. Moreover, simulation analysis is used to confirm the theoretical claims and prove the high potency of the proposed scheme compared to the conventional CSS using different fusion rules.

AB - Spectrum Sensing (SS) comprises the most important component in Cognitive Radio (CR) systems. Cooperative Spectrum Sensing (CSS) is proposed as an effective approach to improve detection performance in fading environments. This paper introduces an efficient energy detection based hard decision CSS algorithm to alleviate the noise uncertainty effect. In the proposed algorithm, the decision threshold is dynamically switched between two levels based on a prior prediction of the Primary User (PU) activity. The two threshold levels are evaluated using an estimated value of the noise uncertainty factor to maximize the probability of detection and minimize the probability of false alarm. The proposed algorithm is studied theoretically to deduce the enhanced detection and false alarm probabilities. Moreover, simulation analysis is used to confirm the theoretical claims and prove the high potency of the proposed scheme compared to the conventional CSS using different fusion rules.

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A2 - Zaki, Ahmed M.

A2 - Abdelaal, Wahied Gharieb Ali

A2 - Taher, Mohamad

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 23 December 2015 through 24 December 2015

ER -

Farag HM, Mohamed EM. Hard decision Cooperative Spectrum Sensing based on estimating the noise uncertainty factor. I El-Din AMB, El-Kharashi MW, Zaki AM, Abdelaal WGA, Taher M, red., Proceedings - 2015 10th International Conference on Computer Engineering and Systems, ICCES 2015. Institute of Electrical and Electronics Engineers Inc. 2016. s. 217-222. 7393049. (Proceedings - 2015 10th International Conference on Computer Engineering and Systems, ICCES 2015). doi: 10.1109/ICCES.2015.7393049

Hard decision Cooperative Spectrum Sensing based on estimating the noise uncertainty factor

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