Performance analysis of cooperative spectrum sensing for cognitive wireless radio networks over Nakagami-m fading channels

Vien, Quoc-Tuan; Nguyen, Huan X.; Trestian, Ramona; Shah, Purav; Gemikonakli, Orhan

doi:10.1109/pimrc.2014.7136262

Cited by 1 publication

(1 citation statement)

References 13 publications

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“…given by (22) and (26), respectively, are decreasing functions over N b . Accordingly, from (31), the average MDP is improved as the number of SUs having binary local decisions increases.…”

Section: Corollarymentioning

confidence: 99%

A Hybrid Double-Threshold Based Cooperative Spectrum Sensing over Fading Channels

Vien

Nguyen

Trestian

et al. 2016

IEEE Trans. Wireless Commun.

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Abstract-This paper investigates double-threshold based energy detector for cooperative spectrum sensing mechanisms in cognitive wireless radio networks. We first propose a hybrid double-threshold based energy detector (HDTED) to improve the sensing performance at secondary users (SUs) by exploiting both the local binary/energy decisions and global binary decisions feedback from the fusion centre (FC). Significantly, we derive closed-form expressions and bounds for the probabilities of missed detection and false alarm considering a practical scenario where all channel links suffer from Rayleigh fading and background noise. The derived expressions not only show the improved performance achieved with the HDTED scheme but also enable us to analyse the impacts of the number of the SUs and the fading channels on the cooperative spectrum sensing performance. Furthermore, based on the derived bounds, we propose an optimal SU selection algorithm for forwarding the local decisions to the FC, which helps reduce the number of forwarding bits for a lower-complexity signaling. Finally, numerical results are provided to demonstrate the validity of the analytical findings.

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“…given by (22) and (26), respectively, are decreasing functions over N b . Accordingly, from (31), the average MDP is improved as the number of SUs having binary local decisions increases.…”

Section: Corollarymentioning

confidence: 99%