Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SR |
2024-05-20 16:45 |
Kagoshima |
Yokacenter (Kagoshima) (Primary: On-site, Secondary: Online) |
Fundamental Investigation of Local 5G Radio Map Generation for Indoor Radio Environment Estimation. Tatsuya Hatagi, Suguru Kameda (Hiroshima Univ.) |
(To be available after the conference date) [more] |
|
SR |
2024-05-21 10:15 |
Kagoshima |
Yokacenter (Kagoshima) (Primary: On-site, Secondary: Online) |
[Short Paper]
An Implementation of Radio Propagation Graph Representation Learning in Multi-hop Path Situations Shimon Takagi, Katsuya Suto (UEC) |
(To be available after the conference date) [more] |
|
RCS, SR, SRW (Joint) |
2024-03-13 13:35 |
Tokyo |
The University of Tokyo (Hongo Campus), and online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Propagation Channel Measurement in the Air by UAV-based Channel Sounder Kentaro Saito (Tottori Univ.), Sora Kojima (Tokyo Denki Univ.) SRW2023-53 |
Recently, Unmanned Aerial Vehicles (UAVs) have been widely utilized for inspections and management of social infrastruct... [more] |
SRW2023-53 p.40 |
AP, WPT (Joint) |
2024-01-17 16:00 |
Niigata |
Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
A Proposal of Indoor Radio Propagation Estimation Method Using DCNN
-- On Input Maps for Improving Estimation Accuracy of Out-of-sight Areas -- Masamitsu Irikuchi, Tetsuro Imai (Tokyo Denki Univ.), Koshiro Kitao, Satoshi Suyama (NTTDOCOMO) AP2023-165 |
In the next generation communication system (6G), where further improvement of frequency utilization efficiency and powe... [more] |
AP2023-165 pp.30-34 |
AP, WPT (Joint) |
2024-01-19 15:25 |
Niigata |
Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Radio Propagation Modeling Using CNN with Rectangular Map Data Tatsuya Nagao, Takahiro Hayashi (KDDI Research, Inc.) AP2023-184 |
Recently, machine learning-based methods using environmental information as features have been proposed to model site-sp... [more] |
AP2023-184 pp.126-130 |
AP, WPT (Joint) |
2024-01-19 15:50 |
Niigata |
Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Generation of Virtual City 3D Model for Pathloss Dataset Extension Rento Hagiwara, Koichi Ichige (Yokohama National Univ), Tatsuya Nagao, Takahiro Hyashi (KDDI Research Inc.) AP2023-185 |
In this paper, we propose a method to generate a 3D model of virtual cities for propagation data generation by ray traci... [more] |
AP2023-185 pp.131-136 |
RISING (3rd) |
2023-10-31 09:45 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
LOS/NLOS estimation using Gaussian process regression in indoor millimeter-wave beamforming Takumi Bushi, Kenji Ohira, Hideyuki Shimonishi (Osaka Univ.) |
Various automations using mobile devices like robots are advancing, and with the collection of large data from
cameras,... [more] |
|
RISING (3rd) |
2023-10-31 09:45 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
Investigation of Indoor Wireless Environment Database Technology for Smart Factories Hayato Mukasa, Koshiro Aruga, Takeo Fujii, Koichi Adachi (UEC) |
In the manufacturing industry, smart factories that utilize sensing, communication, and artificial intelligence technolo... [more] |
|
RCS |
2023-10-20 14:35 |
Kagawa |
Kagawa University (Saiwai-cho Campus), and online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Research Trends of Radio Map Applications for the 6G Era Koya Sato (UEC) RCS2023-147 |
A radio map is a tool for visualizing received signal power values over a spatial domain. Over the last decade, there ha... [more] |
RCS2023-147 p.89 |
SR |
2023-05-11 13:00 |
Hokkaido |
Center of lifelong learning Kiran (Higashi Muroran) (Primary: On-site, Secondary: Online) |
Radio environment estimation in altitude by using the combination of observed data and 3D map Shota Yamada, Takeo Fujii (UEC) SR2023-5 |
In Beyond 5G / 6G, which is being researched and developed as the next-generation mobile communication system, non-terre... [more] |
SR2023-5 pp.27-32 |
SR |
2023-05-12 13:55 |
Hokkaido |
Center of lifelong learning Kiran (Higashi Muroran) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Federated Learning-Inspired Gaussian Process Regression: Low Latency Design and Its Application to Radio Map Construction Koya Sato (UEC) SR2023-20 |
Gaussian process regression (GPR) is a non-parametric method that optimizes regression analysis for Gaussian process dat... [more] |
SR2023-20 p.91 |
RCS, AP, UWT (Joint) |
2022-11-17 13:30 |
Fukuoka |
Kyushu University, and Online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Radio Tomographic Imaging for Factory Wireless Networks Takahiro Matsuda (TMU), Yoshiaki Nishikawa, Eiji Takahashi, Takeo Onishi, Toshiki Takeuchi (NEC) AP2022-168 RCS2022-179 |
Radio Tomographic Imaging (RTI) is a technique to estimate Spatial Loss Fields (SLFs) that are maps quantifying the atte... [more] |
AP2022-168 RCS2022-179 pp.116-121(AP), pp.137-142(RCS) |
SR |
2022-11-08 09:55 |
Fukuoka |
Fukuoka University (Primary: On-site, Secondary: Online) |
Adaptive selection of radio access technology for V2X with radio environment database Atsuki Mukoda, Takeo Fujii (UEC) SR2022-58 |
With the development of automated driving systems, the day when autonomous driving vehicles and non-autonomous driving v... [more] |
SR2022-58 pp.71-77 |
RISING (3rd) |
2022-10-31 15:00 |
Kyoto |
Kyoto Terrsa (Day 1), and Online (Day 2, 3) |
[Poster Presentation]
A Trustworthy Approach for Radio Environment Map Construction in CRNs Ying GAO, Takeo Fujii (UEC) |
A common tool for improving communication efficiency when sharing spatial spectrum is the Radio Environment Map (REM). A... [more] |
|
IA, CQ, MIKA (Joint) |
2022-09-16 10:50 |
Hokkaido |
Hokkaido Citizens Actives Center (Primary: On-site, Secondary: Online) |
Binary Radio Tomographic Imaging Based on LOS/NLOS Identification Takahiro Matsuda (TMU), Yoshiaki Nishikawa, Eiji Takahashi, Takeo Onishi, Toshiki Takeuchi (NEC) CQ2022-40 |
Radio Tomographic Imaging (RTI) is a technique to estimate Spatial Loss Fields (SLFs) that are maps quantifying the atte... [more] |
CQ2022-40 pp.91-96 |
AP, MW (Joint) |
2022-09-14 14:40 |
Ehime |
The Museum of Art, EHIME (Primary: On-site, Secondary: Online) |
A Study of Building Map Representation for Spatiotemporal Channel Parameters Estimation Model by Machine Learning Keiji Yoshikawa, Tatsuya Nagao, Kazuki Takezawa, Takahiro Hayashi (KDDI Research, Inc) AP2022-78 |
Wireless emulators are being developed to design and evaluate wireless systems in virtual space. To emulate various envi... [more] |
AP2022-78 pp.38-43 |
NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-14 15:20 |
Ishikawa |
The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
A Study on Communication Performance Evaluation of Optimal IRS Placement Determined Through Ray Tracing Ei Tanaka, Yuichi Kawamoto, Nei Kato (Tohoku Univ.) SR2022-33 |
For the 6G era of networks, expected to come by the 2030s, high-frequency bands is considered as a medium capable of inc... [more] |
SR2022-33 pp.67-70 |
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] |
2022-02-21 16:30 |
Online |
Online |
Constructing Packet Delivery Rate-Based Map for V2X Using Confidence Interval Atsuki Mukoda, Ayumu Ueda, Keita Katagiri, Takeo Fujii (UEC) ITS2021-36 IE2021-45 |
Recently, a radio map has been attracted attention for realizing reliable V2X communications. To create the radio map fo... [more] |
ITS2021-36 IE2021-45 pp.67-72 |
SR |
2022-01-25 13:40 |
Online |
Online |
[Short Paper]
Roadside Video Broadcasting with Softcast Junichiro Yamada, Katsuya Suto (UEC) SR2021-78 |
In the current autonomous driving, the surrounding situation is always grasped by using the cameras and sensors mounted ... [more] |
SR2021-78 pp.96-98 |
SR |
2021-11-04 15:05 |
Online |
Online |
[Invited Lecture]
Radio Environment Imaging: Ongoing Challenge and Future Perspective Katsuya Suto (UEC) SR2021-48 |
It is essential for wireless communications to recognize radio propagation's spatial characteristics, including path los... [more] |
SR2021-48 p.46 |