2014Unpublished venueRequires access

An efficient hybrid double-threshold based energy detection for cooperative spectrum sensing

Quoc‐Tuan Vien, Huan X. Nguyen, Tho Le‐Ngoc

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Abstract

This paper considers cooperative spectrum sensing (CSS) in cognitive radio networks. The decision on spectrum availability for secondary users (SUs) is carried out with the assistance of a fusion center (FC). In this paper, we propose a new hybrid double-threshold based energy detection (HDTED) to improve the spectrum sensing performance by exploiting both local decision at the SUs and global decision at the FC. In the proposed HDTED, to make a final decision on the availability of licensed spectrum, each SU performs a hybrid combination of both local and global decisions. Particularly, taking into account a practical scenario where all sensing, reporting, and backward channels suffer from Rayleigh fading, we derive the missed detection probability and false alarm probability to show that the proposed HDTED scheme achieves a better CSS performance than the conventional schemes. Finally, simulation results are provided to verify the analytical findings.

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What this paper is about

This paper considers cooperative spectrum sensing (CSS) in cognitive radio networks. The decision on spectrum availability for secondary users (SUs) is carried out with the assistance of a fusion center (FC). In this paper, we propose a new hybrid double-threshold based energy detection (HDTED) to improve the spectrum sensing performance by exploiting both local decision at the SUs and global decision at the FC. In the proposed HDTED, to make a final decision on the availability of licensed spectrum, each SU performs a hybrid combination of both local and global decisions. Particularly, taking into account a practical scenario where all sensing, reporting, and backward channels suffer from Rayleigh fading, we derive the missed detection probability and false alarm probability to show that the proposed HDTED scheme achieves a better CSS performance than the conventional schemes. Finally, simulation results are provided to verify the analytical findings.

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Available abstract

This paper considers cooperative spectrum sensing (CSS) in cognitive radio networks. The decision on spectrum availability for secondary users (SUs) is carried out with the assistance of a fusion center (FC). In this paper, we propose a new hybrid double-threshold based energy detection (HDTED) to improve the spectrum sensing performance by exploiting both local decision at the SUs and global decision at the FC. In the proposed HDTED, to make a final decision on the availability of licensed spectrum, each SU performs a hybrid combination of both local and global decisions. Particularly, taking into account a practical scenario where all sensing, reporting, and backward channels suffer from Rayleigh fading, we derive the missed detection probability and false alarm probability to show that the proposed HDTED scheme achieves a better CSS performance than the conventional schemes. Finally, simulation results are provided to verify the analytical findings.

Key concepts: Fusion center, Cognitive radio, False alarm, Computer science, Rayleigh fading, Energy (signal processing), Cascading Style Sheets, Scheme (mathematics)

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