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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 199 [Previous]  /  [Next]  
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
 Results 21 - 40 of 199 [Previous]  /  [Next]  
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