Performance Analysis of Energy Based Spectrum Sensing over Nakagami-m Fading Channels with Noise uncertainty

Eslami, Amir; Karamzadeh, Saeid

doi:10.17932/iau.ijemme.m.21460604.2016.5/1.1101-1106

Cited by 5 publications

(1 citation statement)

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“…Matched filter, energy detection, feature detection, interference temperature). In [24] authors studied and analyzed the proficiency of energy detector spectrum sensing method with parameters affecting its performance on Nakagami-m fading channels under noise uncertainty and without. Authors in [25] proposed a different system of two stages spectrum sensing, Adaptive two-stage spectrum sensing (ATSS) , with noise uncertainty effect ATSS is a modification of a predictable two stage spectrum sensing when the decision threshold of each stage is adapted on the distance, expected noise variance and concluded noise uncertainty range.…”

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confidence: 99%

Noise uncertainty effect on multi-channel cognitive radio networks

Osama

El-Dien

El-Banna

et al. 2020

IJECE

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Achieving high throughput is the most important goal of cognitive radio networks. The main process in cognitive radio is spectrum sensing that targets getting vacant channels. There are many sensing methods like matched filter, feature detection, interference temperature and energy detection which is employed in the proposed system; however, energy detection suffers from noise uncertainty. In this paper a study of throughput under noise fluctuation effect is introduced. The work in this paper proposes multi-channel system; the overall multi-channel throughput is studied under noise fluctuation effect. In addition, the proficiency of the network has been examined under different number of channels and sensing time with noise uncertainty.

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confidence: 99%