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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2020

17.09.2019

A Novel Mathematical Model for Energy Detection Based Spectrum Sensing in Cognitive Radio Networks

verfasst von: Garima Mahendru, Anil Shukla, P. Banerjee

Erschienen in: Wireless Personal Communications | Ausgabe 3/2020

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Abstract

Spectrum sensing is the quintessence of cognitive radio network and is influenced by uncertain noise at low SNR. In such a scenario sensing duration imposes a constraint on the sensing performance. This paper presents a novel mathematical approach to obtain optimal sensing duration (number of samples) in presence of noise uncertainty for energy detection method. The effect of noise uncertainty on number of sensed samples has been analyzed and a novel approach has been presented to correlate the sensing duration with SNR to attain desired performance in terms of PFA (Probability of False Alarm) and PD (Probability of Detection).
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Metadaten
Titel
A Novel Mathematical Model for Energy Detection Based Spectrum Sensing in Cognitive Radio Networks
verfasst von
Garima Mahendru
Anil Shukla
P. Banerjee
Publikationsdatum
17.09.2019
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2020
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-019-06783-3

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