Asynchronous cooperative spectrum sensing via sequential detection in fuzzy hypothesis testing under noise uncertainty in cognitive radio networks
نویسندگان
چکیده
Spectrum sensing is a critical part in Cognitive radio networks to detect the available frequency resources, and its timeliness accuracy are extremely important. The conventional detectors usually fail be robust presence of noise uncertainty, hence an asynchronous cooperative spectrum approach based on sequential probability ratio detection fuzzy hypothesis testing proposed. In approach, done by each cognitive form local decisions, then fusion centre sequentially accumulates decisions radios make global decision. Simulation results show that proposed can reduce average number samples overcome uncertainty when compared with or selective non-cooperative sensing.
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ژورنال
عنوان ژورنال: Iet Communications
سال: 2022
ISSN: ['1751-8636', '1751-8628']
DOI: https://doi.org/10.1049/cmu2.12526