Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCS, SR, SRW (Joint) |
2025-03-07 09:00 |
Kyoto |
Kyoto Institute of Technology (Kyoto, Online) (Primary: On-site, Secondary: Online) |
[Short Paper]
Research on Secondary User Transmission Power Control Using Deep Reinforcement Learning Syota Yaguti, xiaoyan.wang.shawn (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) |
(To be available after the conference date) [more] |
|
SR |
2024-05-21 12:50 |
Kagoshima |
Yokacenter (Kagoshima) (Kagoshima, Online, Online, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
A Study on Utilization of Machine Learning in Effective Use of Frequency Resources Teruji Ide (N I T, Kagoshima College) SR2024-17 |
Nowadays the Fifth-Generation Mobile communications system (5G) and the other mobile communications systems have spread ... [more] |
SR2024-17 p.70 |
RISING (3rd) |
2023-10-31 10:45 |
Hokkaido |
Kaderu 2・7 (Sapporo) (Hokkaido) |
[Poster Presentation]
Performance Analysis of Cognitive Radio Networks With Location Privacy Preservation Ryutaro Kobuchi (Osaka Univ.), Tatsuaki Kimura (Doshisha Univ.), Tetsuya Takine (Osaka Univ.) |
With the rapid increase in demand for wireless communication services, dynamic spectrum sharing in cognitive radio netwo... [more] |
|
SR, UWT (Joint) |
2023-01-26 13:40 |
Tokyo |
Takanawa Campus, Tokai Univ. (Tokyo, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Smart Radio and Beyond 5G Suguru Kameda (Hiroshima Univ.) SR2022-73 |
The IEICE Technical Committee on Smart Radio (TCSR) was established in 1999 as the Time-limited Technical Committee on S... [more] |
SR2022-73 p.10 |
SR |
2022-01-25 11:15 |
Online |
Online (Online) |
An evaluation of CNN using Deep Residual Learning and Long Short-term Memory for LTE and WLAN Systems Classifications Teruji Ide (NIT, Kagoshima college), Rozeha Rashid, M A Sarijari (UTM) SR2021-75 |
In this study, we investigate and present a deep residual (ResNet) learning for modulation classification. The simulatio... [more] |
SR2021-75 pp.82-89 |
SR |
2021-05-21 10:00 |
Online |
Online (Online) |
An evaluation of CNN using Deep Residual Learning for OFDM and Single Carrier Modulation Classification Teruji Ide (NIT, Kagoshima College), Rozeha A Rashid, Leon Chin, M A Sarijari, Rubita Sudirman (UTM) SR2021-9 |
In this study, we investigate and present a deep residual learning for modulation classification. The simulation results... [more] |
SR2021-9 pp.57-64 |
SR |
2020-11-18 11:15 |
Online |
Online (Online) |
CNN using Deep Residual Learning for Modulation Classification Teruji Ide (NIT, Kagoshima College), Rozeha A. Rashid, Leon Chin, M A Sarijari, Rubita Sudirman (UTM) SR2020-25 |
In this study, we investigate and present a deep residual learning for modulation classification. The simulation results... [more] |
SR2020-25 pp.17-21 |
AP (2nd) |
|
Overseas |
Hotel Istana, Kuala Lumpur (Overseas) |
Energy Efficiency of Cooperative Jammer in a Spectrum Sharing Network Yee-Loo Foo (MMU, Malaysia) |
Underutilizing spectrum results in wastage. Eavesdropping compromises the secrecy of data. How to overcome the two probl... [more] |
|
SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-11 09:10 |
Osaka |
I-Site Nanba(Osaka) (Osaka) |
Reputation-Based Spectrum Sensing Strategy in Cognitive Radio Sensor Networks Ying Gao, Takeo Fujii (UEC), Ming Diao (HEU) SR2019-28 |
Collaborative Spectrum Sensing (CSS) is considered as a powerful way to improve the utilization of the spectrum resource... [more] |
SR2019-28 pp.51-57 |
RCS, SR, SRW (Joint) |
2019-03-06 10:30 |
Kanagawa |
YRP (Kanagawa) |
Prototype of IEEE 802.11af Radio Equipment with Channel Aggregation Takeshi Matsumura, Kazuo Ibuka, Homare Murakami, Kentaro Ishizu, Fumihide Kojima (NICT) SR2018-121 |
IEEE 802.11af was standardized in 2013 as a WLAN (Wireless Local Area Network) system operated at TVWS (TV White-spaces)... [more] |
SR2018-121 pp.1-8 |
RCS, AP (Joint) |
2018-11-22 10:40 |
Okinawa |
Okinawa Industry Support Center (Okinawa) |
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 |
RCS, SR, SRW (Joint) |
2018-03-02 10:25 |
Kanagawa |
YRP (Kanagawa) |
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 |
CS, NS, IN, NV (Joint) |
2017-09-08 10:25 |
Miyagi |
Research Institute of Electrical Communication, Tohoku Univ. (Miyagi) |
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. (Miyagi) |
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 |
NS, IN (Joint) |
2017-03-02 11:20 |
Okinawa |
OKINAWA ZANPAMISAKI ROYAL HOTEL (Okinawa) |
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 (Okinawa) |
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 |
NS, IN (Joint) |
2017-03-03 15:30 |
Okinawa |
OKINAWA ZANPAMISAKI ROYAL HOTEL (Okinawa) |
Transmission opportunity based group formation of secondary users for collaborative spectrum sensing in cognitive radio networks with multiple primary users Tomohiro Nishida, Masahiro Sasabe, Shoji Kasahara (NAIST) NS2016-244 |
In cognitive radio networks, it is important for secondary users (SUs) to correctly detect whether the corresponding pri... [more] |
NS2016-244 pp.499-504 |
RCS, SR, SRW (Joint) |
2017-03-01 15:10 |
Tokyo |
Tokyo Institute of Technology (Tokyo) |
Secondary Network Analysis with Multiple Primary Users for Database-assisted Spectrum Sharing System Shota Yamashita, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.) SR2016-95 |
This paper presents the performance evaluation for secondary networks with multiple primary users (PU) with a stochastic... [more] |
SR2016-95 pp.25-27 |
RCS, SR, SRW (Joint) |
2017-03-03 14:25 |
Tokyo |
Tokyo Institute of Technology (Tokyo) |
Implementation of Multichannel Access System based on Traffic Route Switching by Open Flow Takumi Kimura, Osamu Takyu (Shinshu Univ.), Mai Ohta (Fukuoka Univ.), Takeo Fujii (UEC), Fumihito Sasamori, Shiro Handa (Shinshu Univ.) SR2016-106 |
Dynamic spectrum access of cognitive radio is attracting much attention for exploiting the frequency spectrum in order t... [more] |
SR2016-106 pp.67-73 |
AP (2nd) |
2017-01-26 - 2017-01-27 |
Overseas |
Malaysia-Japan International Institute of Technology (MJIIT) (Overseas) |
[Short Paper]
Cognitive Radio in 5G
-- A Smart City Perspective -- Eberechukwu Paulson, Mohamad Kamaludin, Sharifah Kamilah, Umar Dauda (FKE, UTM) |
The Cognitive radio technology and 5G wireless standards are considered as future technologies and the same can be used ... [more] |
|