Presentation 2016-07-22
Computationally Efficient Spectrum Sensing Based on Cyclostationarity Detection in Cognitive Radio
Shusuke Narieda,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper presents a computationally efficient cyclostationarity detection based spectrum sensing in cognitive radio. To the best of our knowledge, in several cyclostationarity detection based spectrum sensing, peak detector (PD) is the most computationally efficient technique. The reason is that the computation of a cyclic autocorrelation function (CAF) at only one cyclic frequency is required for signal detection. Besides, traditionally, maximum cyclic autocorrelation selection (MCAS) based spectrum sensing which does not use any threshold for the signal detection has been presented. By comparing both techniques, PD can be affected the noise uncertainty because PD requires the noise floor estimation to obtain the threshold for the signal detection, whereas MCAS cannot be affected by the noise uncertainty because any thresholds for sensing are not required. Furthermore, the computational complexity of MCAS is greater than that of PD. The presented technique does not require any thresholds for the signal detection and the computational complexity of the presented technique is almost the same to that of the PD. Some numerical examples are shown to validate the effectiveness of the presented technique.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Cognitive radio network / cyclostationarity detection based spectrum sensing / maximum cyclic autocorrelation selection
Paper # SR2016-49
Date of Issue 2016-07-13 (SR)

Conference Information
Committee RCS / RCC / ASN / NS / SR
Conference Date 2016/7/20(3days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English) Wireless Distributed Network, M2M: Machine-to-Machine, D2D (Device-to-Device),etc.
Chair Hidekazu Murata(Kyoto Univ.) / Shinsuke Hara(Osaka City Univ.) / Hiroshi Tohjo(NTT) / Hideki Tode(Osaka Pref. Univ.) / Takeo Fujii(Univ. of Electro-Comm.)
Vice Chair Satoshi Denno(Okayama Univ.) / Yukitoshi Sanada(Keio Univ.) / Eisuke Fukuda(Fujitsu Labs.) / Kazunori Hayashi(Kyoto Univ.) / Ryu Miura(NICT) / Hiroo Sekiya(Chiba Univ.) / Hiraku Okada(Nagoya Univ.) / Satoru Yamano(NEC) / Yoshikatsu Okazaki(NTT) / Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) / Masayuki Ariyoshi(NEC) / Suguru Kameda(Tohoku Univ.)
Secretary Satoshi Denno(Toshiba) / Yukitoshi Sanada(NTT DoCoMo) / Eisuke Fukuda(Kagawa Univ.) / Kazunori Hayashi(Hokkaido Univ.) / Ryu Miura(Kanagawa Inst. of Tech.) / Hiroo Sekiya(NTT) / Hiraku Okada(Kyushu Inst. of Tech.) / Satoru Yamano(NTT) / Yoshikatsu Okazaki(Shinshu Univ.) / Kenta Umebayashi(NICT) / Masayuki Ariyoshi / Suguru Kameda
Assistant Tetsuya Yamamoto(Panasonic) / Toshihiko Nishimura(Hokkaido Univ.) / Koichi Ishihara(NTT) / Kazushi Muraoka(NEC) / Shinsuke Ibi(Osaka Univ.) / Toshinori Kagawa(NICT) / Kentaro Kobayashi(Nagoya Univ.) / Yuichi Igarashi(Hitachi) / Katsuhiro Naito(Aichi Inst. of Tech.) / Kiyohiko Hattori(NICT) / Hiroshi Fujita(Fujitsu Labs.) / Takuro Yonezawa(Keio Univ.) / Shohei Kamamura(NTT) / Kazuto Yano(ATR) / Mamiko Inamori(Tokai Univ.) / Hiroyuki Shiba(NTT) / Gia Khanh Tran(Tokyo Inst. of Tech.)

Paper Information
Registration To Technical Committee on Radio Communication Systems / Technical Committee on Reliable Communication and Control / Technical Committee on Ambient intelligence and Sensor Networks / Technical Committee on Network Systems / Technical Committee on Smart Radio
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Computationally Efficient Spectrum Sensing Based on Cyclostationarity Detection in Cognitive Radio
Sub Title (in English)
Keyword(1) Cognitive radio network
Keyword(2) cyclostationarity detection based spectrum sensing
Keyword(3) maximum cyclic autocorrelation selection
1st Author's Name Shusuke Narieda
1st Author's Affiliation National Institute of Technology, Akashi College, Japan(NIT, Akashi College)
Date 2016-07-22
Paper # SR2016-49
Volume (vol) vol.116
Number (no) SR-148
Page pp.pp.97-102(SR),
#Pages 6
Date of Issue 2016-07-13 (SR)