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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 485 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SR 2019-01-24
17:10
Fukushima Corasse, Fukushima city (Fukushima prefecture) [Special Invited Talk] Review of research activities for many years -- Satellite Communication, Cognitive Radio, Cellular System and Standardization --
Kanshiro Kashiki (KDDI Research) SR2018-109
The author has been engaged in research and development activities regarding the wireless communications, since joining ... [more] SR2018-109
pp.85-88
RCS, AP
(Joint)
2018-11-22
10:40
Okinawa Okinawa Industry Support Center Enhanced Channel Hopping Algorithm for Heterogeneous Cognitive Ad Hoc Networks
Aohan Li, Tomoaki Ohtsuki (Keio Univ.) RCS2018-206
In Cognitive Ad Hoc Networks (CAHNs), unlicensed Secondary Users (SUs) need establish control channels without infrastru... [more] RCS2018-206
pp.161-166
SR 2018-10-30
13:30
Overseas Mandarin Hotel, Bangkok, Thailand [Poster Presentation] Direct RF undersampling receiver for wireless IoT real-time spectrum monitor using high-speed clock switching
Tomoyuki Furuichi, Mizuki Motoyoshi, Suguru Kameda, Noriharu Suematsu (Tohoku Univ.) SR2018-68
Recently, with the popularization of wireless IoT (Internet of Things), real-time spectrum monitoring technology for wir... [more] SR2018-68
pp.21-24
ASN, NS, RCS, SR, RCC
(Joint)
2018-07-12
09:30
Hokkaido Hakodate Arena Construction of Time-Space Radio Environment Database using HMM for Cooperative Sensing
Yuya Aoki, Takeo Fujii (UEC) SR2018-30
In recent years, many researchers focus on a measurement-based Radio Environment Database (RED) that utilizes the actual... [more] SR2018-30
pp.57-64
ASN, NS, RCS, SR, RCC
(Joint)
2018-07-12
10:20
Hokkaido Hakodate Arena Experimental Verification of Frequency-Correlation of Radio Propagation Characteristics for Radio Environment Recognition
Keita Onose (UEC), Koya Sato (TUS), Kei Inage (TMCIT), Takeo Fujii (UEC) SR2018-32
Spectrum sharing with cognitive radio has attracted attention to solve the shortage of spectrum resources. In order to r... [more] SR2018-32
pp.73-78
ASN, NS, RCS, SR, RCC
(Joint)
2018-07-12
10:55
Hokkaido Hakodate Arena [Poster Presentation] Supervised Learning-based Primary Exclusive Region Update Robust Against Imbalanced Data for Spectrum Sharing
Aogu Yamada, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ.) RCC2018-44 NS2018-57 RCS2018-102 SR2018-41 ASN2018-38
In spectrum sharing, secondary users (SUs) utilize a licensed frequency band under a condition to avoid interference wit... [more] RCC2018-44 NS2018-57 RCS2018-102 SR2018-41 ASN2018-38
pp.97-98(RCC), pp.103-104(NS), pp.115-116(RCS), pp.107-108(SR), pp.113-114(ASN)
RCS, SR, SRW
(Joint)
2018-02-28
13:45
Kanagawa YRP A Study on Time Series Modeling of Duty Cycle for Smart Spectrum Access
Daiki Cho, Kenta Umebayashi (TUAT), Shusuke Narieda (NIT, Akashi College), Miguel Lopez Bentez (UoL) SR2017-112
For an efficient spectrum sharing by primary user (PU) and secondary user (SU), SU needs to understand the spectrum usag... [more] SR2017-112
pp.1-7
RCS, SR, SRW
(Joint)
2018-03-02
10:25
Kanagawa YRP Wireless Network Optimization Method based on Cognitive Cycle using Machine Learning
Koji Oshima (TUS/KKE), Takumu Kobayashi, Yuki Taenaka, Kaori Kuroda, Mikio Hasegawa (TUS) SR2017-132
With the spread of mobile communication devices,
the opportunities to use wireless communication technology have been ... [more]
SR2017-132
pp.103-107
SR 2018-01-26
10:55
Fukuoka Fukuoka univ. A Calibration Method for Crowdsensing Based Radio Environment Database
Miho Ito, Keita Onose, Koya Sato (UEC), Kei Inage (TMCIT), Takeo Fujii (UEC) SR2017-103
In spectrum sharing with cognitive radio, radio environment estimation is essential to secure quality of unlicensed user... [more] SR2017-103
pp.57-62
MoNA 2018-01-19
11:40
Kyoto Campus Plaza Kyoto Machine Learning-based Primary Exclusive Region Update for Spectrum Sharing
Aogu Yamada, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ.) MoNA2017-52
In spectrum sharing, secondary users (SUs) utilize a licensed frequency band under a condition to avoid interference wit... [more] MoNA2017-52
pp.63-68
MW 2017-12-19
11:20
Tokyo   A study on Frequency Identification of Received RF Signal in Wideband Direct RF Undersampling Frequency Sensor
Tomoyuki Furuichi, Mizuki Motoyoshi, Suguru Kameda, Noriharu Suematsu (Tohoku Univ.) MW2017-144
Recently, with the popularization of wireless IoT (Internet of Things), real time frequency sensing technology for multi... [more] MW2017-144
pp.13-18
SR, SRW
(Joint)
2017-10-23
14:00
Overseas Grand Hotel Palatino, Rome, Italy [Poster Presentation] Robust and Low Complexity Signal Detection Method based on Power Spectrum under Noise Uncertainty
Hiroyuki Kamata, Gia Khanh Tran, Kei Sakaguchi, Kiyomichi Araki (Tokyo Tech) SR2017-73 SRW2017-25
A Signal Detection is an important technique in Cognitive Radio. The matched filter based energy detector is an optimal ... [more] SR2017-73 SRW2017-25
pp.25-26(SR), pp.29-30(SRW)
SR, SRW
(Joint)
2017-10-23
14:00
Overseas Grand Hotel Palatino, Rome, Italy [Poster Presentation] Experimental Verification of Frequency-Correlation for Radio Environment Recognition Using Crowd Sensing
Keita Onose, Koya Sato (UEC), Kei Inage (TMCIT), Takeo Fujii (UEC) SR2017-74 SRW2017-26
Spectrum sharing with cognitive radio has attracted attention to solve the shortage of spectrum resources. In order to r... [more] SR2017-74 SRW2017-26
pp.27-28(SR), pp.31-32(SRW)
CQ
(2nd)
2017-10-17
11:20
Fukuoka Nishijin Plaza, Kyushu Univ. [Poster Presentation] Design and Implementation of Optimization Method for Wireless LAN based on Cognitive Cycle
Takumu Kobayashi, Koji Oshima, Kaori Kuroda, Mikio Hasegawa (TUS)
With the spread of mobile terminals such as smartphones, mobile tablets and laptop PCs, wireless LAN access points are p... [more]
CS, NS, IN, NV
(Joint)
2017-09-08
10:25
Miyagi Research Institute of Electrical Communication, Tohoku Univ. On collaborative spectrum sensing mechanism based on system load and detection performance in cognitive radio networks
Tomohiro Nishida, Masahiro Sasabe, Shoji Kasahara (NAIST) NS2017-81
In cognitive radio networks, collaborative spectrum sensing (CSS), where some of secondary users (SUs) cooperate to dete... [more] NS2017-81
pp.61-66
CS, NS, IN, NV
(Joint)
2017-09-08
10:50
Miyagi Research Institute of Electrical Communication, Tohoku Univ. Performance Inference for Cooperative Spectrum Sensing with the k-out-of-N Rule: An MCMC-based Approach
Sho Iizuka, Jun Kawahara, Shoji Kasahara (NAIST) NS2017-82
In the research of cognitive radio, Cooperative Spectrum Sensing (CSS) is proposed, in which the secondary users (SUs) f... [more] NS2017-82
pp.67-72
SR 2017-05-25
11:05
Tokyo Tokyo big sight Spectrum Management with Weighted Combining of Sensing Results for Wireless LAN over White Space Spectrum
Shigenobu Sasaki, Ryota Hoshino (Niigata Univ.) SR2017-3
In this paper, a spectrum management algorithm based on weighted combining of spectrum sensing results is proposed for w... [more] SR2017-3
pp.13-18
ISEC, WBS, IT 2017-03-10
14:10
Tokyo TOKAI University Spectrum Sensing in Cooperative with Some Secondary Users
Yuki Muranaka, Ryutaroh Matsumoto, Tetsunao Matsuta, Tomohiko Uyematsu (Tokyo Tech) IT2016-131 ISEC2016-121 WBS2016-107
The cognitive radio has attracted attention as a measure to utilize the radio spectrum more efficiently in order to cope... [more] IT2016-131 ISEC2016-121 WBS2016-107
pp.209-214
NS, IN
(Joint)
2017-03-02
11:20
Okinawa OKINAWA ZANPAMISAKI ROYAL HOTEL Effective data channel selection scheme based on database/cooperative sensing collaboration for V2V communication
Yuya Takemoto, Kazuya Tsukaomoto (Kyutech) NS2016-163
Nowadays, Vehicle to Vehicle (V2V) communication are expected to produce comfortable driving. But occupying new resource... [more] NS2016-163
pp.35-40
NS, IN
(Joint)
2017-03-03
14:50
Okinawa OKINAWA ZANPAMISAKI ROYAL HOTEL Coalition formation approach for cooperative spectrum sensing in cognitive radio networks by multi-armed bandit problem
Sho Iizuka, Jun Kawahara, Shoji Kasahara (NAIST) NS2016-242
In cognitive radio networks, it is important for secondary users (SUs) to accurately sense wireless channels for primary... [more] NS2016-242
pp.487-492
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