Collaborative Wideband Spectrum Sensing for Cognitive Radio using Wavelet-based Detection

Nedaa Al Hussien; Mohammed Abdel-Hafez; Khaled Shuaib

doi:10.1109/CoDIT.2018.8394837

Collaborative Wideband Spectrum Sensing for Cognitive Radio using Wavelet-based Detection

Nedaa Al Hussien, Mohammed Abdel-Hafez, Khaled Shuaib

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

6 Citations (Scopus)

Abstract

Spectrum sensing in cognitive radio is a crucial task for detecting spectrum opportunities. Due to the intense demand for the frequency spectrum, average spectrum occupancy has increased, resulting in high spectrum scarcity. Under these circumstances, spectrum sensing needs to be performed on larger portions of the frequency spectrum, up to several GHz, to better explore spectrum opportunities. This leads to wideband spectrum sensing. In this paper, wideband spectrum sensing using wavelet-based detection is investigated, and a system model using collaborative wavelet-based detection is proposed. The performance of this edge detection model is investigated using three fusion rules: OR, AND and Majority.

Original language	English
Title of host publication	2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	492-497
Number of pages	6
ISBN (Electronic)	9781538650653
DOIs	https://doi.org/10.1109/CoDIT.2018.8394837
Publication status	Published - Jun 22 2018
Event	5th International Conference on Control, Decision and Information Technologies, CoDIT 2018 - Thessaloniki, Greece Duration: Apr 10 2018 → Apr 13 2018

Publication series

Name	2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018

Other

Other	5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
Country/Territory	Greece
City	Thessaloniki
Period	4/10/18 → 4/13/18

Keywords

cognitive radio
harddecision combining.
narrowband spectrum sensing
wavelet-based detection
wideband spectrum sensing

ASJC Scopus subject areas

Computer Networks and Communications
Decision Sciences (miscellaneous)
Control and Optimization
Hardware and Architecture
Information Systems
Control and Systems Engineering

Access to Document

10.1109/CoDIT.2018.8394837

Cite this

Hussien, N. A., Abdel-Hafez, M., & Shuaib, K. (2018). Collaborative Wideband Spectrum Sensing for Cognitive Radio using Wavelet-based Detection. In 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018 (pp. 492-497). (2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CoDIT.2018.8394837

Collaborative Wideband Spectrum Sensing for Cognitive Radio using Wavelet-based Detection. / Hussien, Nedaa Al; Abdel-Hafez, Mohammed ; Shuaib, Khaled.
2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 492-497 (2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018).

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

Hussien, NA, Abdel-Hafez, M & Shuaib, K 2018, Collaborative Wideband Spectrum Sensing for Cognitive Radio using Wavelet-based Detection. in 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018. 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018, Institute of Electrical and Electronics Engineers Inc., pp. 492-497, 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018, Thessaloniki, Greece, 4/10/18. https://doi.org/10.1109/CoDIT.2018.8394837

Hussien NA, Abdel-Hafez M , Shuaib K. Collaborative Wideband Spectrum Sensing for Cognitive Radio using Wavelet-based Detection. In 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 492-497. (2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018). doi: 10.1109/CoDIT.2018.8394837

Hussien, Nedaa Al ; Abdel-Hafez, Mohammed ; Shuaib, Khaled. / Collaborative Wideband Spectrum Sensing for Cognitive Radio using Wavelet-based Detection. 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 492-497 (2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018).

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abstract = "Spectrum sensing in cognitive radio is a crucial task for detecting spectrum opportunities. Due to the intense demand for the frequency spectrum, average spectrum occupancy has increased, resulting in high spectrum scarcity. Under these circumstances, spectrum sensing needs to be performed on larger portions of the frequency spectrum, up to several GHz, to better explore spectrum opportunities. This leads to wideband spectrum sensing. In this paper, wideband spectrum sensing using wavelet-based detection is investigated, and a system model using collaborative wavelet-based detection is proposed. The performance of this edge detection model is investigated using three fusion rules: OR, AND and Majority.",

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AB - Spectrum sensing in cognitive radio is a crucial task for detecting spectrum opportunities. Due to the intense demand for the frequency spectrum, average spectrum occupancy has increased, resulting in high spectrum scarcity. Under these circumstances, spectrum sensing needs to be performed on larger portions of the frequency spectrum, up to several GHz, to better explore spectrum opportunities. This leads to wideband spectrum sensing. In this paper, wideband spectrum sensing using wavelet-based detection is investigated, and a system model using collaborative wavelet-based detection is proposed. The performance of this edge detection model is investigated using three fusion rules: OR, AND and Majority.

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Collaborative Wideband Spectrum Sensing for Cognitive Radio using Wavelet-based Detection

Abstract

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Keywords

ASJC Scopus subject areas

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