Cumulant-based blind cooperative spectrum sensing method for cognitive radio; Physical Communication; Vol. 29

Dettagli Bibliografici
Parent link:Physical Communication
Vol. 29.— 2018.— [P. 343-349]
Ente Autore: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра программной инженерии (ПИ)
Altri autori: Wang Jun, Chen Riqing, Shu Feng, Lin Ruiquan, Zhu Wei, Li Jun, Dzhayakodi Arachshiladzh D. N. K. Dushanta Nalin Kumara
Riassunto:Spectrum sensing is a crucial technology in cognitive radio (CR). Cumulant-based or higher order statistics (HOS) based spectrum sensing methods are often considered in literature for spectrum sensing because cumulants higher than 3-order can be used as a feature to distinguish non-Gaussian signals from Gaussian noise. However, most existing cooperative spectrum sensing methods are based on the assumption that the channel gain is available, which cannot be realistic in practice. In this paper, a novel cumulant-based cooperative spectrum sensing method is proposed. The proposed method does not depend on the noise power, channel gain, or the unknown signal parameters. Additionally, the proposed method is based on Neyman–Pearson (N–P) criteria, thus it is optimal in terms of the performance of detection probability if the false alarm probability is given in advance. Simulation results and analysis are presented to verify the validity and the superiority of the proposed cooperative spectrum sensing method over the existing ones.
Режим доступа: по договору с организацией-держателем ресурса
Lingua:inglese
Pubblicazione: 2018
Soggetti:
Accesso online:https://doi.org/10.1016/j.phycom.2017.11.001
Natura: MixedMaterials Elettronico Capitolo di libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=667187

MARC

LEADER 00000naa0a2200000 4500
001 667187
005 20250304140649.0
035 |a (RuTPU)RU\TPU\network\38392 
090 |a 667187 
100 |a 20220302d2018 k||y0rusy50 ba 
101 0 |a eng 
102 |a NL 
135 |a drcn ---uucaa 
181 0 |a i  
182 0 |a b 
200 1 |a Cumulant-based blind cooperative spectrum sensing method for cognitive radio  |f Wang Jun, Chen Riqing, Shu Feng [et al.] 
203 |a Text  |c electronic 
320 |a [References: 19 tit.] 
330 |a Spectrum sensing is a crucial technology in cognitive radio (CR). Cumulant-based or higher order statistics (HOS) based spectrum sensing methods are often considered in literature for spectrum sensing because cumulants higher than 3-order can be used as a feature to distinguish non-Gaussian signals from Gaussian noise. However, most existing cooperative spectrum sensing methods are based on the assumption that the channel gain is available, which cannot be realistic in practice. In this paper, a novel cumulant-based cooperative spectrum sensing method is proposed. The proposed method does not depend on the noise power, channel gain, or the unknown signal parameters. Additionally, the proposed method is based on Neyman–Pearson (N–P) criteria, thus it is optimal in terms of the performance of detection probability if the false alarm probability is given in advance. Simulation results and analysis are presented to verify the validity and the superiority of the proposed cooperative spectrum sensing method over the existing ones. 
333 |a Режим доступа: по договору с организацией-держателем ресурса 
461 |t Physical Communication 
463 |t Vol. 29  |v [P. 343-349]  |d 2018 
610 1 |a труды учёных ТПУ 
610 1 |a электронный ресурс 
610 1 |a cognitive radio 
610 1 |a cooperative spectrum sensing 
610 1 |a cumulant 
610 1 |a Non-Gaussian 
701 0 |a Wang Jun 
701 0 |a Chen Riqing 
701 0 |a Shu Feng 
701 0 |a Lin Ruiquan 
701 0 |a Zhu Wei 
701 0 |a Li Jun 
701 1 |a Dzhayakodi Arachshiladzh  |b D. N. K.  |c specialist in the field of electronics  |c Professor of Tomsk Polytechnic University  |f 1983-  |g Dushanta Nalin Kumara  |3 (RuTPU)RU\TPU\pers\37962 
712 0 2 |a Национальный исследовательский Томский политехнический университет (ТПУ)  |b Институт кибернетики (ИК)  |b Кафедра программной инженерии (ПИ)  |3 (RuTPU)RU\TPU\col\22918 
801 2 |a RU  |b 63413507  |c 20220302  |g RCR 
856 4 0 |u https://doi.org/10.1016/j.phycom.2017.11.001 
942 |c CF