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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS, RCC, ASN, NS, SR
(Joint)
2016-07-22
09:00
Aichi   Computationally Efficient Spectrum Sensing Based on Cyclostationarity Detection in Cognitive Radio
Shusuke Narieda (NIT, Akashi College) SR2016-49
This paper presents a computationally efficient cyclostationarity detection based spectrum sensing in cognitive radio. T... [more] SR2016-49
pp.97-102
SR, SRW
(Joint)
2016-05-16
14:30
Overseas Hotel Lasaretti, Oulu, Finland [Poster Presentation] Approximated Theoretical Analysis for Spectrum Sensing Based on Maximum Cyclic Autocorrelation Selection
Daiki Cho, Shusuke Narieda (NIT, Akashi College), Kenta Umebayashi (TUAT) SR2016-10 SRW2016-10
Maximum cyclic autocorrelation selection (MCAS) is one of spectrum sensing technique based on cyclostationarity detectio... [more] SR2016-10 SRW2016-10
pp.35-36
SR 2015-05-28
14:50
Hyogo Akashi-Sangyou-Koryu-Center Test Statistics Shared CAF Diversity Combining for Spectrum Sensing with Time Averaged Weights
Daiki Cho, Atsushi Kondo, Shusuke Narieda (NIT, Akashi College) SR2015-5
This paper presents a cyclic autocorrelation function (CAF) diversity combining technique for spectrum sensing by test s... [more] SR2015-5
pp.25-30
SR 2015-05-28
16:15
Hyogo Akashi-Sangyou-Koryu-Center [Invited Talk] Computationally Efficient Spectrum Sensing Based on Cyclostationarity Detection Using Multiple Receive Antennas
Shusuke Narieda, Daiki Cho (NIT, Akashi College) SR2015-8
Spectrum sensing technique must detect an extremely weak radio signal, and several techniques based on multiple receive ... [more] SR2015-8
pp.45-52
RCS, SR, SRW
(Joint)
2015-03-06
09:50
Tokyo Tokyo Institute of Technology A Weighted Diversity Combining Technique without Noise Statistics Estimation for Cyclostationarity Detection Based Spectrum Sensing
Daiki Cho, Shusuke Narieda (ANCT) SR2014-139
This paper presents a weighted diversity combining technique without noise statistics estimation for cyclostationarity d... [more] SR2014-139
pp.169-174
RCC, ASN, NS, RCS, SR
(Joint)
2014-07-30
16:35
Kyoto Kyoto Terrsa A Weighted Diversity Combining Technique for Cyclostationarity Detection Based Spectrum Sensing of OFDM Signals in Cognitive Radio
Daiki Cho, Shusuke Narieda (ANCT) SR2014-22
This paper presents a weighted diversity combining technique for cyclostationarity detection based spectrum sensing of o... [more] SR2014-22
pp.13-19
RCS, SR, SRW
(Joint)
2014-03-03
16:15
Tokyo Waseda Univ. Simple Diversity Combining Techniques for Cyclostationarity Detection Based Spectrum Sensing of OFDM Signals in Cognitive Radio
Shusuke Narieda (Akashi Nat. Coll. of Tech.) SR2013-102
This paper presents simple diversity combining techniques for cyclostationarity detection based spectrum sensing in cogn... [more] SR2013-102
pp.41-46
ASN, RCS, NS, SR
(Joint)
2013-07-18
15:45
Shizuoka Hamamatsu Act City [Poster Presentation] A study on Robust Multiple Hypothesis Testing Approach for Dynamic Spectrum Sharing
Takashi Miura, Kenta Umebayashi (TUAT), Janne J Lehtomaki (Univ. of Oulu), Yasuo Suzuki (TUAT) NS2013-60 RCS2013-111 SR2013-49 ASN2013-78
This paper tackles the four-level hypothesis problem for spectrum sharing between primary users (PUs) and secondary user... [more] NS2013-60 RCS2013-111 SR2013-49 ASN2013-78
pp.137-142(NS), pp.179-184(RCS), pp.153-158(SR), pp.165-170(ASN)
SR 2012-07-27
10:50
Kagoshima Yakushima (an island in Kagoshima pref.) A study of frequency offset countermeasure for cyclostationrity-based a number of signals detection
Takashi Miura, Kenta Umebayashi, Yasuo Suzuki (Tokyo Univ. of Agri. & Tech.) SR2012-29
In this paper,we have investigated 4-level hypothesis based spectrum sensing technique for spectrum spectrum sharing bet... [more] SR2012-29
pp.55-61
SR 2011-07-28
15:05
Kanagawa YRP [Technology Exhibit] Multiple Signal Identification Equipment Based on Cyclostationarity
Hiroki Harada, Shunji Miura, Hidetoshi Kayama (NTT DOCOMO) SR2011-27
A cyclostationary feature detection is considered as one of major sensing techniques for a cognitive radio system due to... [more] SR2011-27
pp.61-66
SIP, RCS 2011-01-21
13:00
Kagoshima   Low-Complexity Cyclostaionary Feauture Detection Method for Compensating Cyclostationarity-Degradation by Guard Interval Insertion
Hiroyoshi Yano (Keio Univ.), Osamu Takyu (Tokyo Univ. of Science), Takeo Fujii (UEC), Tomoaki Ohtsuki (Keio Univ.) SIP2010-108 RCS2010-238
In this paper, we propose a good accuracy and low complexity detection method based on cyclostationarity feature in auto... [more] SIP2010-108 RCS2010-238
pp.233-238
SR 2010-07-29
13:20
Kyoto ATR (Kyoto) System indentification with cyclostationary properties in spectrum spectrum sharing system
Kenta Umebayashi (Tokyo Univ. of Agr and Tech.), Shinya Hatakeyama (Tohoku Electric Power), Yukihiro Kamiya, Yasuo Suzuki (Tokyo Univ. of Agr and Tech.) SR2010-17
In spectrum sensing, it is determined if a primary user (PU) is present in the studied frequency band (hypothesis $H_1$)... [more] SR2010-17
pp.7-12
 Results 1 - 12 of 12  /   
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