Presentation | 2016-05-16 [Poster Presentation] Approximated Theoretical Analysis for Spectrum Sensing Based on Maximum Cyclic Autocorrelation Selection Daiki Cho, Shusuke Narieda, Kenta Umebayashi, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Maximum cyclic autocorrelation selection (MCAS) is one of spectrum sensing technique based on cyclostationarity detection, and we have been presented sensing techniques extended MCAS for multiple receive antennas. MCAS utilizes the cyclic autocorrelation functions (CAFs) at some cyclic frequencies (peak and non-peak) and compares some test statistics which are computed by these CAFs. Moreover, the probability of false alarm ($P_mathrm{FA}$) can be controlled by the number of non-peak CAFs which is used signal detection. Therefore, MCAS does not need to use a threshold which is used many of spectrum sensing techniques, however, it is difficult to theoretical analysis and has not been examined. In this presentation, ``consequent threshold'' derived from desired $P_mathrm{FA}$ and probability density function is presented, and we attempt to approximate theoretical analysis. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | cognitive radio networksspectrum sensingcyclostationarity detectiontheoretical analysis |
Paper # | SR2016-10,SRW2016-10 |
Date of Issue | 2016-05-09 (SR, SRW) |
Conference Information | |
Committee | SR / SRW |
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Conference Date | 2016/5/16(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Hotel Lasaretti, Oulu, Finland |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | SmartCom2016 |
Chair | Takeo Fujii(Univ. of Electro-Comm.) / Hiroshi Harada(Kyoto Univ.) |
Vice Chair | Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) / Masayuki Ariyoshi(NEC) / Masafumi Kato(Fujitsu) / Satoshi Denno(Okayama Univ.) |
Secretary | Kenta Umebayashi(Shinshu Univ.) / Masayuki Ariyoshi(NICT) / Masafumi Kato(NTT) / Satoshi Denno(NICT) |
Assistant | Kazuto Yano(ATR) / Mamiko Inamori(Tokai Univ.) / Hiroyuki Shiba(NTT) / Gia Khanh Tran(Tokyo Inst. of Tech.) / Wen Yun(Fujitsu) / Keiichi Mizutani(Kyoto Univ.) |
Paper Information | |
Registration To | Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | [Poster Presentation] Approximated Theoretical Analysis for Spectrum Sensing Based on Maximum Cyclic Autocorrelation Selection |
Sub Title (in English) | |
Keyword(1) | cognitive radio networksspectrum sensingcyclostationarity detectiontheoretical analysis |
1st Author's Name | Daiki Cho |
1st Author's Affiliation | National Institute of Technology, Akashi College, Japan(NIT, Akashi College) |
2nd Author's Name | Shusuke Narieda |
2nd Author's Affiliation | National Institute of Technology, Akashi College, Japan(NIT, Akashi College) |
3rd Author's Name | Kenta Umebayashi |
3rd Author's Affiliation | Tokyo University of Agriculture and Technology(TUAT) |
Date | 2016-05-16 |
Paper # | SR2016-10,SRW2016-10 |
Volume (vol) | vol.116 |
Number (no) | SR-29,SRW-30 |
Page | pp.pp.35-36(SR), pp.35-36(SRW), |
#Pages | 2 |
Date of Issue | 2016-05-09 (SR, SRW) |