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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS | 2021-10-22 13:50 |
Online | Online | Study on Performance Improvement of Radio-Wave Encrypted Modulation by LLR Clipping Mamoru Okumura, Keisuke Asano, Takumi Abe, Eiji Okamoto (NIT), Tetsuya Yamamoto (Panasonic)  RCS2021-137 |
In recent years, physical layer security technologies that encrypt the physical layer using information theory have attr... [more] | RCS2021-137 pp.100-105 |
| SIP | 2021-08-23 14:50 |
Online | Online | [Invited Talk]
Visualizing Wireless Environments: An Introduction of Spatial Statistics and Its Extensions to Multi-Dimensional Interpolation Koya Sato (Tokyo Univ. of Science) SIP2021-30 |
The radio map construction has been attracting attention. This technology visualizes the state of the wireless environme... [more] | SIP2021-30 pp.12-17 |
| AP, SANE, SAT (Joint) |
2021-07-29 12:40 |
Online | Online | [Invited Lecture]
Radio Propagation Prediction using Geographical Classification by Clustering and Convolutional Neural Network Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2021-36 |
Beyond 5G is expected to play an essential role in the future social infrastructure, and there is a need for a new syste... [more] | AP2021-36 pp.70-75 |
| SR | 2021-05-20 10:50 |
Online | Online | Statistic Sample Size Determination for Average Received Signal Power Using Statistical Inference Keita Katagiri, Takeo Fujii (UEC) SR2021-3 |
Nowadays, a crowdsourcing-assisted radio map has attracted attention. In crowdsourcing, distributed mobile terminals obs... [more] | SR2021-3 pp.16-23 |
| RCS, SR, SRW (Joint) |
2021-03-04 09:25 |
Online | Online | A Study on Movement Route Control of Autonomous Vehicles Based on Radio Environment Monitoring in Factory Environment Taisei Michimi, Seiichi Sampei (Osaka Univ) RCS2020-222 |
In a smart factory, it is expected that Local 5G will be applied to make wiring between devices wireless. Currently, 4.7... [more] | RCS2020-222 pp.94-99 |
| RCS, SR, SRW (Joint) |
2021-03-04 11:35 |
Online | Online | [Poster Presentation]
Radio Propagation Prediction Using Building Information in Radio Environment Map for Smart Meters Soraya Mitate, Takeo Fujii (UEC) RCS2020-237 SR2020-76 SRW2020-66 |
In recent years, smart metering systems that efficiently control household resources such as water, electricity, and gas... [more] | RCS2020-237 SR2020-76 SRW2020-66 pp.163-164(RCS), pp.56-57(SR), pp.51-52(SRW) |
| AP | 2020-12-17 13:50 |
Online | Online | A Study on Urban Structure Map Extraction for Radio Propagation Prediction using XGBoost Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2020-98 |
Recently, the rapid increase in mobile data traffic and the diversification of wireless communication services have led ... [more] | AP2020-98 pp.13-17 |
| SR, NS, SeMI, RCC, RCS (Joint) |
2020-07-10 11:35 |
Online | Online | Experimental Verification of Shadowing Classification for Measurement-based Spectrum Database Keita Katagiri (UEC), Koya Sato (TUS), Kei Inage (TMCIT), Takeo Fujii (UEC) SR2020-20 |
As a hybrid estimation method of the radio environment, we have proposed a shadowing classifier. In the shadowing classi... [more] | SR2020-20 pp.63-70 |
| SR | 2020-06-04 14:00 |
Online | Online | Radio Propagation Extrapolation Based on Correction of Empirical CDF Keita Katagiri, Takeo Fujii (UEC) SR2020-2 |
In this paper, we propose a radio propagation extrapolation method based on the correction of an empirical cumulative di... [more] | SR2020-2 pp.9-16 |
| SR | 2019-12-05 13:50 |
Okinawa | Ishigaki City Hall (Ishigaki Island) | [Poster Presentation]
Radio Propagation Estimation Considering Altitude for Spectrum Sharing between LTE/5G and Different Systems Sunao Miyamoto, Keita Katagiri, Takeo Fujii (UEC) SR2019-89 |
In this paper, we discuss a radio propagation estimation considering altitude of receiving antenna. In recent years, spe... [more] | SR2019-89 pp.23-24 |
| SR | 2019-12-06 13:00 |
Okinawa | Ishigaki City Hall (Ishigaki Island) | Radio Environment Map Updating Procedure based on Hypothesis Testing Keita Katagiri, Takeo Fujii (UEC) SR2019-104 |
(To be available after the conference date) [more] | SR2019-104 pp.87-94 |
| SRW, SeMI, CNR (Joint) |
2019-11-06 13:25 |
Tokyo | Kozo Keisaku Engineering Inc. | [Poster Presentation]
A Study of Received Power Prediction Using Ray-tracing Simulation and Deep Learning for mmWave Communications Masahiro Iwasaki, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ) SRW2019-34 SeMI2019-78 CNR2019-28 |
Machine learning based received power prediction has been studied. These methods learn Features such as surrounding map ... [more] | SRW2019-34 SeMI2019-78 CNR2019-28 pp.53-54(SRW), pp.73-74(SeMI), pp.51-52(CNR) |
| AP | 2019-10-18 13:00 |
Osaka | Osaka Univ. | A study on variety and size of input data for radio propagation prediction using a deep neural network Takahiro Hayashi, Tatsuya Nagao, Satoshi Ito (KDDI Research, Inc) AP2019-102 |
Not only has the volume of mobile traffic been increasing exponentially in recent years, making various services availab... [more] | AP2019-102 pp.119-124 |
| SR | 2019-05-31 10:00 |
Tokyo | Tokyo Big Sight | [Technology Exhibit]
Highly Accurate Prediction of Radio Environment for V2V Communication Systems Keita Katagiri, Takeo Fujii (UEC) SR2019-18 |
An accurate estimation of radio propagation considering the geographical conditions is needed for realizing reliable veh... [more] | SR2019-18 pp.107-112 |
| RCS, SR, SRW (Joint) |
2019-03-06 15:40 |
Kanagawa | YRP | [Invited Lecture]
Spectrum Sharing based on Radio Environment Map: Theory and Open Issues Koya Sato (Tokyo Univ. of Science) SR2018-127 |
This paper summarizes the radio environment map (REM) for spatial spectrum sharing. REM contains spatial distribution of... [more] | SR2018-127 pp.43-49 |
| SANE, SAT (Joint) |
2019-02-14 14:15 |
Kagoshima | Tanegashima Island | Radar Target Recognition Framework with Convolutional Neural Networks Ryoma Yataka, Kazuki Hirashima, Masashi Shiraishi (MELCO) SANE2018-124 |
A Range-Doppler map is generated by processing a distant target signals measured by a radar. However, extracting feature... [more] | SANE2018-124 pp.77-82 |
| SR | 2019-01-24 15:45 |
Fukushima | Corasse, Fukushima city (Fukushima prefecture) | On the Radio Environment Map Construction using Neural Network Residual Kriging Koya Sato (TUS), Kei Inage (TMCIT), Takeo Fujii (UEC) SR2018-106 |
In this paper, we discuss the performance of feedforward neural network (FFNN) in radio environment map (REM) constructi... [more] | SR2018-106 pp.63-70 |
| SR | 2019-01-24 16:35 |
Fukushima | Corasse, Fukushima city (Fukushima prefecture) | Highly Accurate Estimation of Radio Propagation using Model Classifier Keita Katagiri, Keita Onose (UEC), Koya Sato (TUS), Kei Inage (TMCIT), Takeo Fujii (UEC) SR2018-108 |
A Measurement-based Spectrum Database (MSD) attracts attention as highly accurate radio environment recognition. In the ... [more] | SR2018-108 pp.79-84 |
| SR | 2019-01-25 15:15 |
Fukushima | Corasse, Fukushima city (Fukushima prefecture) | A Study on Frequency-domain Interpolation of a Radio Environment Map for Bands of Cellular System Keita Onose, Keita Katagiri (UEC), Koya Sato (TUS), Kei Inage (TMCIT), Takeo Fujii (UEC) SR2018-116 |
A Measurement-based Spectrum Database (MSD) attracts attention as highly accurate radio environment recognition. It is i... [more] | SR2018-116 pp.123-128 |
| SR | 2018-10-31 10:25 |
Overseas | Mandarin Hotel, Bangkok, Thailand | [Poster Presentation]
Power Control exploiting Spectrum Database for V2V Communication Systems Keita Katagiri (UEC), Koya Sato (TUS), Takeo Fujii (UEC) SR2018-76 |
In order to realize reliable Vehicle-to-Vehicle (V2V) communication systems for autonomous driving, the recognition of r... [more] | SR2018-76 pp.39-40 |
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