Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCS |
2021-06-23 10:30 |
Online |
Online |
A Study on Secret Key Sharing Using Time-Division Duplex Channel Information in Radio-Wave Encrypted Modulation Takumi Abe, Mamoru Okumura, Keisuke Asano, Eiji Okamoto (NIT), Tetsuya Yamamoto (Panasonic) RCS2021-35 |
In recent years, cyber-attacks targeting Internet of things (IoT) terminals have been increasing. As a countermeasure, e... [more] |
RCS2021-35 pp.37-42 |
RCS |
2021-06-25 09:30 |
Online |
Online |
Experimental Evaluation of Frequency-domain Feature Selection for CSI-based Object Detection in Wireless LAN Systems Kazuki Noguchi, Osamu Muta (Kyushu Univ.), Tomoki Murakami, Shinya Otsuki (former NTT) RCS2021-64 |
Various object detection schemes utilizing channel state information (CSI) in wireless local area network
(WLAN) system... [more] |
RCS2021-64 pp.202-207 |
SRW |
2021-06-21 13:50 |
Online |
Online |
[Invited Talk]
Basic Design and Challenges in Outdoor Wi-Fi CSI Sensing and Outdoor Acoustic Sensing Shigemi Ishida (FUN) SRW2021-10 |
Recently, there has been increased interest in Wi-Fi CSI (channel state information) based sensing technologies, which r... [more] |
SRW2021-10 p.42 |
WBS, RCC, SAT, MICT (Joint) [detail] |
2021-05-21 13:00 |
Online |
Online (Zoom) |
A Study on Multi-rate Polar Coding Scheme Using Hybrid Pilot and Frozen Bits in Satellite Laser Communications Hiroki Ito, Yuma Yamashita, Eiji Okamoto (NITech), Hiroo Kunimori, Morio Toyoshima (NICT) WBS2021-18 RCC2021-18 SAT2021-16 |
In satellite laser communications, it is necessary to apply strong error-correcting codes to prevent the quality degrada... [more] |
WBS2021-18 RCC2021-18 SAT2021-16 pp.95-100(WBS), pp.95-100(RCC), pp.83-88(SAT) |
RCS, SR, SRW (Joint) |
2021-03-05 10:55 |
Online |
Online |
Selective Reflection Control-based Channel Estimation Overhead Reduction in IRS-aided Mobile Communication Systems Hashida Hiroaki, Kawamoto Yuichi, Kato Nei (Tohoku Univ.) RCS2020-250 |
Intelligent reflecting surfaces (IRSs) are promising for providing additional propagation paths for users in a dead zone... [more] |
RCS2020-250 pp.212-217 |
RCS, SR, SRW (Joint) |
2021-03-05 09:50 |
Online |
Online |
Deep Learning-based Channel Estimation to Mitigate Channel Aging in Massive MIMO with Pilot Contamination Hiroki Hirose, Tomoaki Ohtsuki (Keio Univ.) RCS2020-254 |
In a massive multiple-input multiple-output (MIMO) system based on time division duplex (TDD), the channel state informa... [more] |
RCS2020-254 pp.234-239 |
RCS, SR, SRW (Joint) |
2021-03-05 17:20 |
Online |
Online |
[Encouragement Talk]
A Study on Downlink Channel Estimation Based on Multipath Separation in a Wideband FDD System Shiori Tosaka, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) RCS2020-261 |
In an FDD system, downlink channel state information (CSI) is necessary at a base station for efficient transmission.
T... [more] |
RCS2020-261 pp.267-272 |
SIP, IT, RCS |
2021-01-22 14:25 |
Online |
Online |
Cascaded Channel Estimation for Wireless Communications using Intelligent Reflecting Surface Takahiro Ohyama (PSNRD), Yuichi Kawamoto, Nei Kato (Tohoku Univ.) IT2020-95 SIP2020-73 RCS2020-186 |
The high frequency band used for 5th generation (5G) mobile communication system has a high straightness, and the commun... [more] |
IT2020-95 SIP2020-73 RCS2020-186 pp.176-181 |
CQ, CBE (Joint) |
2021-01-21 16:00 |
Online |
Online |
[Poster Presentation]
Performance Evaluation of Channel State Information Clustering for Wireless LAN-based Object Detection Systems Eiki Ando, Hiroki Senji, Osamu Muta (Kyushu Univ.), Tomoki Murakami, Shinya Otsuki (former NTT) CQ2020-77 |
Various object detection schemes utilizing channel state information (CSI) in WLAN systems have been investigated recent... [more] |
CQ2020-77 pp.68-69 |
RCS, AP, UWT (Joint) |
2020-11-25 09:50 |
Online |
Online |
Deep Learning Aided Channel Estimation for Massive MIMO with Pilot Contamination Hiroki Hirose, Tomoaki Ohtsuki (Keio Univ.) RCS2020-110 |
In a time division duplex (TDD) based massive multiple-input multiple-output (MIMO) system, a base station (BS) needs ac... [more] |
RCS2020-110 pp.1-6 |
SRW |
2020-06-29 13:25 |
Online |
Online |
Distributed intelligent reflecting surfaces utilizing direction information in millimeter-wave communications Masashi Iwabuchi, Tomoki Murakami, Riku Ohmiya, Tomoaki Ogawa, Yasushi Takatori (NTT) SRW2020-8 |
This paper proposes a distributed intelligent reflecting surfaces (IRSs) based on direction information instead of chann... [more] |
SRW2020-8 pp.23-28 |
RCS, SR, SRW (Joint) |
2020-03-04 09:20 |
Tokyo |
Tokyo Institute of Technology (Cancelled but technical report was issued) |
CSI Feedback Overhead Reduction by 3D CNN for Time-varying FDD Massive MIMO Masumi Kuriyama, Tomoaki Ohtsuki (Keio Univ.) RCS2019-332 |
Massive MIMO (Multiple-Input Multiple-Output) is a technology that uses a large number of antennas at a base station (BS... [more] |
RCS2019-332 pp.63-68 |
SeMI |
2020-01-30 15:25 |
Kagawa |
|
A Proposal of People Counting by Using Wi-Fi Channel State Information of Mobile Devices Masahide Mizutani, Akira Uchiyama (Osaka Univ.), Tomoki Murakami, Hirantha Abeysekera (NTT), Teruo Higashino (Osaka Univ.) SeMI2019-102 |
People's distribution in public areas is useful for various services. Wi-Fi Channel State Information (CSI) has attracte... [more] |
SeMI2019-102 pp.17-22 |
SR |
2019-12-05 13:50 |
Okinawa |
Ishigaki City Hall (Ishigaki Island) |
[Poster Presentation]
Performance Evaluation of Secure Wireless Communications for PLNC with Untrusted Relay by Double-objective Optimization Problem Go Ikeuchi, Osamu Takyu (Shinshu Univ), Takeo Fujii (UEC), Tomoaki Ohtsuki (Keio Univ), Fumihito Sasamori, Shiro Handa (Shinshu Univ) SR2019-88 |
In this study, we have focused on wireless communication networks which can easily construct a network by using the rela... [more] |
SR2019-88 pp.15-22 |
IT |
2019-11-26 16:50 |
Kagoshima |
Kirishima Kokusai Hotel |
[Invited Talk]
Quantum Information Theory and Uncertainty Relation Kenjiro Yanagi (JU) IT2019-35 |
We state several problems in quantum information theory. In particular we also give the development in uncertainty relat... [more] |
IT2019-35 pp.21-26 |
RISING (2nd) |
2019-11-26 14:10 |
Tokyo |
Fukutake Learning Theater, Hongo Campus, Univ. Tokyo |
[Invited Lecture]
Channel Estimation via Convolutional Neural Network for Massive MIMO with Pilot Contamination Hiroki Hirose, Tomoaki Ohtsuki (Keio Univ.) |
In massive multiple-input multiple-output (MIMO) based on time division duplex (TDD), a base station (BS) needs accurate... [more] |
|
RCS |
2019-10-25 14:35 |
Kanagawa |
Yokosuka Research Park |
[Invited Lecture]
M-QAM Adaptation by Semi-Blind Multi Modulus Algorithm and MMSE-SMI for Multicell Massive MIMO Systems Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) RCS2019-199 |
This paper expands our previously proposed semi-blind uplink interference suppression scheme on multicell multiuser mass... [more] |
RCS2019-199 pp.115-120 |
MIKA (2nd) |
2019-10-04 10:15 |
Hokkaido |
Hokkaido Univ. |
[Poster Presentation]
Study on Estimation of Human Behavior Pattern Using Chanel State Information and Machine Learning Kaito Hashiba, Kentaro Nishimori, Ryotaro Taniguchi (Niigata Univ), Naoki Honma (Iwate Univ) |
The authors are studying sensing using Multiple Input Multiple Output (MIMO) technology. As a merit of the sensor using ... [more] |
|
MIKA (2nd) |
2019-10-04 10:15 |
Hokkaido |
Hokkaido Univ. |
[Poster Presentation]
Considerations of car/bicycle/pedestrian detection method using Wi-Fi signal Ryo Orihara, Shigemi Ishida, Yutaka Arakawa (Kyushu Univ.), Shigeaki Tagashira (Knasai Univ.), Akira Fukuda (Kyushu Univ.) |
The detection of cars, bicycles, and pedestrians can be used to prevent accidents and traffic congestion. Existing metho... [more] |
|
IT |
2019-07-25 15:50 |
Tokyo |
NATULUCK-Iidabashi-Higashiguchi Ekimaeten |
Metric for Channel Selection by the Number of Users and SNR in WLAN Taiga Okutate, Ikuo Oka, Shingo Ata (Osaka City Univ.) IT2019-19 |
A channel selection is employed to switch dynamically the channel to the optimal channel using channel state information... [more] |
IT2019-19 pp.23-26 |