Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SANE, SAT (Joint) |
2021-02-19 15:20 |
Online |
Online |
Statistical Channel Estimation Scheme for Helicopter Satellite Communication Masafumi Sai, Toshiharu Kojima (UEC) SAT2020-39 |
In helicopter satellite communications, the rotor blades periodically block the communication channel. This periodic
ch... [more] |
SAT2020-39 pp.54-57 |
SIP, IT, RCS |
2021-01-21 14:00 |
Online |
Online |
A Study of Pilot Assignment Optimization Based on Statistical Beam Selection for Large Multi-User MIMO Yuichi Ochi, Takumi Takahashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka Univ.) IT2020-78 SIP2020-56 RCS2020-169 |
We propose a novel pilot assignment optimization scheme based on statistical beam selection for significant pilot overhe... [more] |
IT2020-78 SIP2020-56 RCS2020-169 pp.87-92 |
SRW, SeMI, CNR (Joint) |
2020-11-26 09:00 |
Online |
Online |
Doppler Frequency Detection Using Channel Impulse Response Kazuma Hotta, Satoshi Denno, Hou Yafei (Okayama Univ.) SRW2020-25 |
With the spread of the Internet of Things (IoT), the detection of terminal movement has become an issue. In the IoT, the... [more] |
SRW2020-25 pp.1-6 |
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 |
RCS, AP, UWT (Joint) |
2020-11-25 10:15 |
Online |
Online |
A Study on Joint Channel and Data Estimation via Belief Propagation for Correlated Large MIMO Systems Kenta Ito, Takumi Takahashi (Osaka Univ), Shinsuke Ibi (Doshisha Univ), Seiichi Sampei (Osaka Univ) RCS2020-111 |
We propose a novel joint channel and data estimation (JCDE) scheme for correlated large multi-user multi-input multi-out... [more] |
RCS2020-111 pp.7-12 |
SAT, RCS (Joint) |
2020-08-20 10:15 |
Online |
Online |
Performance improvements of polar-code transmission using channel estimation and equalization in terrestrial free-space optical experiments Shingo Fujita, Eiji Okamoto (NITech), Hideki Takenaka, Hiroo Kunimori, Hiroyuki Endo, Mikio Fujiwara, Mitsuo Kitamura (NICT), Ryosuke Shimizu (UEC), Masahide Sasaki, Morio Toyoshima (NICT) SAT2020-13 |
In satellite laser communications, fluctuations of received optical power induced by atmospheric scintillation cause tra... [more] |
SAT2020-13 pp.19-24 |
RCS |
2020-06-24 15:20 |
Online |
Online |
Interleaver-Linked Receiver Beamforming for IDMA-Based Random Access in TDD System Yotaro Murakami (Tokyo Univ. of Science), Yoshihisa Kishiyama (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) RCS2020-28 |
This paper proposes a novel interleaver-linked receiver beamforming in time division duplex (TDD)-interleave division mu... [more] |
RCS2020-28 pp.31-36 |
RCS |
2020-06-25 15:20 |
Online |
Online |
Bilinear Gaussian Belief Propagation for Iterative Channel and Data Estimation in Large MIMO Systems Kenta Ito, Takumi Takahashi (Osaka Univ), Shinsuke Ibi (Doshisha Univ), Seiichi Sampei (Osaka Univ) RCS2020-40 |
This paper proposes a bilinear Gaussian belief propagation (BiGaBP) for joint channel and data estimation (JCDE) in larg... [more] |
RCS2020-40 pp.103-108 |
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 |
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 |
RCS |
2019-06-19 09:40 |
Okinawa |
Miyakojima Hirara Port Terminal Building |
BLER Performance of OFDM with Faster-than-Nyquist Using TDM Based RS Multiplexing Tsubasa Shobudani, Mitsutaka Anan, Mamoru Sawahashi (Tokyo City Univ.), Yoshihisa Kishiyama (NTT DOCOMO) RCS2019-38 |
This paper presents the average block error rate (BLER) performance using time division multiplexing (TDM) based referen... [more] |
RCS2019-38 pp.7-12 |
RCS |
2019-06-19 10:30 |
Okinawa |
Miyakojima Hirara Port Terminal Building |
A Fundamental Study on Channel Estimation Using Deep Learning Ryota Nakajima, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara (Hokkaido Univ.) RCS2019-43 |
In wireless communication, channel estimation is essential to detect transmitted signals from received signals. At prese... [more] |
RCS2019-43 pp.37-42 |
RCS |
2019-06-20 10:10 |
Okinawa |
Miyakojima Hirara Port Terminal Building |
Performance Evaluation of IDMA-based Random Access Considering User Detection and Channel Estimation Taiki Tomizawa (Tokyo Univ. of Science), Yoshihisa Kishiyama (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) RCS2019-67 |
This paper evaluates the performance of the interleave division multiple access (IDMA)-based random access in order to s... [more] |
RCS2019-67 pp.181-187 |
RCS |
2019-06-21 10:50 |
Okinawa |
Miyakojima Hirara Port Terminal Building |
Channel Estimation via Neural Network for Massive MIMO with Pilot Contamination Hiroki Hirose, Tomoaki Ohtsuki (Keio Univ.) RCS2019-89 |
In massive multiple-input multiple-output (MIMO) based on time division duplex (TDD), a base station (BS) needs accurate... [more] |
RCS2019-89 pp.303-308 |
RCS |
2019-06-21 11:00 |
Okinawa |
Miyakojima Hirara Port Terminal Building |
Low-Complexity MMSE Channel Estimation in Massive MU-MIMO System Yunfeng Deng, Tomoaki Ohtsuki (Keio Univ.) RCS2019-90 |
In massive multi-user MIMO (MU-MIMO) systems,
the base station (BS) requires accurate channel state information
(CSI).... [more] |
RCS2019-90 pp.309-314 |
RCS |
2019-04-19 10:20 |
Hokkaido |
Noboribetsu Grand Hotel |
Channel Estimation Using Long-term Channel Statistics for BP-based Large MIMO Detection Takumi Takahashi (Osaka Univ.), Antti Tolli (Univ. of Oulu), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka Univ.) RCS2019-15 |
This paper proposes a novel de-noising method for realizing low-complexity channel estimation using long-term channel st... [more] |
RCS2019-15 pp.67-72 |
CAS, CS |
2019-03-09 10:50 |
Kanagawa |
Shonan Institute of Technology |
Achievement of Channel Estimation Based on Complex TFI and Linear Interpolation for SP-OFDM Yuta Ida, Takahiro Matsumoto, Shinya Matsufuji (Yamaguchi Univ.) CAS2018-149 CS2018-117 |
In an orthogonal frequency division multiplexing (OFDM), the pilot signal is utilized for the channel estimation (CE).Ho... [more] |
CAS2018-149 CS2018-117 pp.59-64 |
RCS, SR, SRW (Joint) |
2019-03-07 09:25 |
Kanagawa |
YRP |
Parameter Estimation for Block Diagonalization based Beamforming in Analog-Digital-Hybrid Massive MIMO Systems Kenta Tsuge, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech), Satoshi Suyama, Yukihiko Okumura (NTT DOCOMO) RCS2018-312 |
For massive MIMO systems to be employed in the 5th generation mobile communications (5G), hybrid beamforming (HB), which... [more] |
RCS2018-312 pp.157-162 |
RCS, SR, SRW (Joint) |
2019-03-08 10:30 |
Kanagawa |
YRP |
[Invited Lecture]
Frequency Domain Phase Noise Compensation for Millimeter Wave MU-MIMO OFDM Systems Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech.) SR2018-138 |
Owing to a 2 GHz wide and free license band, the 60 GHz millimeter wave (mm-Wave) band is one of the most promising band... [more] |
SR2018-138 pp.97-102 |