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2013•Unpublished venueOpen access

CS. Multiscale Hilbert Transform Approach to Wideband Spectrum Sensing for Cognitive Radio Networks

Said E. El‐Khamy, Mohamed S. El-Mahallawy, El-Nasser S. Youssef

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Abstract

Wideband spectrum sensing has been promoted to handle Cognitive Radio's spectrum allocation scenarios that are completely dynamic. Moreover, Cognitive Radio networks demand a fast and accurate wideband spectrum sensing in order to operate successfully and achieve efficient spectrum utilization. However, there are few existing techniques that employ edge detection as an approach to wideband spectrum sensing. Tn this paper, we propose an improved algorithm, based on a multi scale Hilbert transform, for wideband spectrum sensing. The proposed algorithm outperforms the existing counterparts. Tn addition, new performance measures are introduced and evaluated to provide accurate assessment of wideband spectrum sensing. Findings are verified using software simulation.

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What this paper is about

Wideband spectrum sensing has been promoted to handle Cognitive Radio's spectrum allocation scenarios that are completely dynamic. Moreover, Cognitive Radio networks demand a fast and accurate wideband spectrum sensing in order to operate successfully and achieve efficient spectrum utilization. However, there are few existing techniques that employ edge detection as an approach to wideband spectrum sensing. Tn this paper, we propose an improved algorithm, based on a multi scale Hilbert transform, for wideband spectrum sensing. The proposed algorithm outperforms the existing counterparts. Tn addition, new performance measures are introduced and evaluated to provide accurate assessment of wideband spectrum sensing. Findings are verified using software simulation.

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Available abstract

Wideband spectrum sensing has been promoted to handle Cognitive Radio's spectrum allocation scenarios that are completely dynamic. Moreover, Cognitive Radio networks demand a fast and accurate wideband spectrum sensing in order to operate successfully and achieve efficient spectrum utilization. However, there are few existing techniques that employ edge detection as an approach to wideband spectrum sensing. Tn this paper, we propose an improved algorithm, based on a multi scale Hilbert transform, for wideband spectrum sensing. The proposed algorithm outperforms the existing counterparts. Tn addition, new performance measures are introduced and evaluated to provide accurate assessment of wideband spectrum sensing. Findings are verified using software simulation.

Key concepts: Cognitive radio, Wideband, Computer science, Spectrum (functional analysis), Software-defined radio, Radio spectrum, Electronic engineering, Telecommunications

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