Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCS, SIP, IT |
2019-01-31 12:55 |
Osaka |
Osaka University |
Access Point Selection by the Number of Users and SNR Estimation Tatsuhiko Murakami, Ikuo Oka, Shingo Ata (Osaka City Univ.) IT2018-42 SIP2018-72 RCS2018-249 |
Communication efficiency is improved by selecting the base station with the aid on channel state information (CSI). Many... [more] |
IT2018-42 SIP2018-72 RCS2018-249 pp.43-47 |
SR |
2018-10-30 10:30 |
Overseas |
Mandarin Hotel, Bangkok, Thailand |
[Poster Presentation]
Phase Noise Compensation for mm-Wave MU-MIMO OFDM Systems
-- Phase-Noise-Robust Channel Estimation and PER Characteristics Evaluation -- Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech.) SR2018-61 |
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] |
SR2018-61 pp.7-8 |
SAT, RCS (Joint) |
2018-08-09 10:55 |
Iwate |
Iwate University |
A Study on an Adaptive Bit-Loading Algorithm with Channel Estimation for 5G backhaul Systems Daiki Yoda, Daisuke Uchida, Koji Akita, Tomoya Tandai (Toshiba) RCS2018-132 |
In recent years, the realization of the fifth generation mobile communication system has been actively investigated and ... [more] |
RCS2018-132 pp.7-12 |
WBS, MICT |
2018-07-06 09:45 |
Kanagawa |
Yokohama Mitsui Building |
[Poster Presentation]
A Study on ML Channel Parameters Estimation in Diffusive Molecular Communications Shoma Hasegawa, Daisuke Anzai, Jianqing Wang (NIT) WBS2018-6 MICT2018-26 |
Molecular communication is one of promising communication technologies that transmits information using biomolecules (e.... [more] |
WBS2018-6 MICT2018-26 pp.7-11 |
RCS |
2018-04-23 11:45 |
Yamaguchi |
Hotel New Tanaka, Yuda Onsen |
A Study on Iterative Channel Estimation with Non-Orthogonal Pilot Sequence in Large MIMO Detection Takumi Takahashi, Shinsuke Ibi, Seiichi Sampei (Osaka Univ.) RCS2018-6 |
Based on the use of iterative channel estimation with non-orthogonal pilot sequence, we proposes a modified covariance m... [more] |
RCS2018-6 pp.31-36 |
CS, CAS |
2018-03-13 11:35 |
Fukuoka |
Nishijin Plaza, Kyushu University |
A Study on Two-Dimensional Pilot Allocation over Frequency and Delay-time Domain for Uplink Channel Estimation in Massive MIMO/TDD Systems, Part II Koki Matsuzaki, Osamu Muta (Kyushu Univ.), Haris Gacanin (Nokia Belgium) CAS2017-151 CS2017-105 |
Multiple-input multiple-output (MIMO) system with a large number of antennas (i.e., massive MIMO) at the base station (B... [more] |
CAS2017-151 CS2017-105 pp.101-105 |
RCS, SR, SRW (Joint) |
2018-02-28 10:00 |
Kanagawa |
YRP |
Study on Adaptive STBC-TD for Distributed MIMO Cooperative Transmission Tomoyuki Saito, Amnart Boonkajay, Fumiyuki Adachi (Tohoku Univ.) RCS2017-320 |
Space-time block coded transmit diversity (STBC-TD) uses the minimum mean square error combining diversity (MMSECD) for ... [more] |
RCS2017-320 pp.19-24 |
RCS, SR, SRW (Joint) |
2018-03-02 16:55 |
Kanagawa |
YRP |
Beam Space Channel Estimation Using Multiple DFT Matrices for Massive MIMO Systems Jun Shikida, Kazushi Muraoka, Naoto Ishii (NEC) RCS2017-392 |
Massive MIMO is a promising technology for the 5th generation (5G) mobile communication systems. When uplink (UL) channe... [more] |
RCS2017-392 pp.405-410 |
AP, RCS (Joint) |
2017-11-08 10:50 |
Fukuoka |
Fukuoka University |
Effects of Channel Covariance Estimation Error on Joint Maximum A Posteriori Estimation of Channel and Interference Power for OFDM Transmission Masahiro Kudo, Tomoaki Ohtsuki (Keio Univ.) RCS2017-208 |
Superposed multicarrier transmission has been proposed as a technique to improve frequency utilization efficiency.
In ... [more] |
RCS2017-208 pp.23-28 |
AP, RCS (Joint) |
2017-11-08 14:55 |
Fukuoka |
Fukuoka University |
[Invited Lecture]
Channel Prediction in LOS Environment by AR Model Using Estimation of LOS Propagation Parameters Naoto Setoguchi, Hiroaki Nakabayashi, Keizo Cho (Chiba Inst.Tech.) AP2017-117 RCS2017-214 |
In MIMO technology, feedback delay of channel state information is regarded as a cause of deterioration of transmission ... [more] |
AP2017-117 RCS2017-214 pp.49-54(AP), pp.53-58(RCS) |
RCS |
2017-10-19 10:50 |
Miyagi |
Tohoku Institute of Technology |
A Study on Adaptive Channel Estimation for Distributed MIMO Cooperative Transmissions Fumiyuki Adachi, Amnart Boonkajay (Tohoku Univ.) RCS2017-173 |
In distributed MIMO cooperative transmission using time division duplex (TDD), base station (BS) selects at most 4 distr... [more] |
RCS2017-173 pp.31-36 |
RCS |
2017-10-20 13:25 |
Miyagi |
Tohoku Institute of Technology |
[Invited Lecture]
Semi-Blind Adaptive Interference Cancellation with Decision Feedback Channel Estimation on Multicell Massive MIMO Uplink Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) RCS2017-194 |
This paper proposes a semi-blind uplink interference suppression scheme for multicell multiuser massive MIMO systems. In... [more] |
RCS2017-194 pp.143-148 |
IT, SIP, RCS |
2017-01-19 14:55 |
Osaka |
Osaka City Univ. |
A Study on Channel Estimation for Time-Division Duplex Distributed Antenna Cooperative Transmission Fumiyuki Adachi, Amnart Boonkajay, Tomoyuki Saito, Yuta Seki (Tohoku Univ.) IT2016-73 SIP2016-111 RCS2016-263 |
We have been studying a distributed antenna cooperative transmission as a promising technique for realizing the 5th gene... [more] |
IT2016-73 SIP2016-111 RCS2016-263 pp.159-164 |
IT, SIP, RCS |
2017-01-20 11:15 |
Osaka |
Osaka City Univ. |
Performance of L1 regularized channel estimation techniques using information criteria Yasuhiro Takano (Kobe Univ.) IT2016-85 SIP2016-123 RCS2016-275 |
Most $ell1$ regularized channel estimation techniques assume that degree of sparsity (DoS) is known. The variance of cha... [more] |
IT2016-85 SIP2016-123 RCS2016-275 pp.227-230 |
CQ (2nd) |
2016-08-28 14:25 |
Ibaraki |
Tsukubasan |
Application of Denoising Techniques to Multicarrier Powerline Transmission and its Performance Evaluation Tomoya Kageyama, Osamu Muta (Kyushu Univ.), Haris Gacanin (Nokia Belgium) |
In power line communication (PLC) systems using multicarrier modulation such as orthogonal frequency division multiplexi... [more] |
|
SAT, RCS (Joint) |
2016-08-19 13:55 |
Miyagi |
Tohoku Gakuin University |
Performance comparison of SSB-DFTs-OFDM and DFTs-OFDM for ultra multi-level modulation in frequency-selective fading Hirokazu Fusayasu, Tomoya Suzuki, Masahiro Umehira (Ibaraki Univ.), Junichi Abe (NTT) RCS2016-145 |
We have been proposing SSB-DFTs-OFDM (Single Side Band DFT spreading OFDM) scheme for ultra-multi-level modulation to ac... [more] |
RCS2016-145 pp.89-94 |
RCS, RCC, ASN, NS, SR (Joint) |
2016-07-21 14:35 |
Aichi |
|
Study on interpolation and extrapolation method using FFT for channel estimation of land mobile propagation Makoto Taromaru, Mai Ohta (Fukuoka Univ.) RCS2016-122 |
In land mobile radio communications, the transfer function of the multipath channel is essential for various kinds of si... [more] |
RCS2016-122 pp.145-146 |
IN, RCS (Joint) |
2016-05-19 13:30 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Study on Coverage Enhancement of Uplink Data Channel for 3GPP Narrowband IoT Tetsuya Yamamoto (Panasonic), Ryoko Kawauchi (PSNRD), Hidetoshi Suzuki (Panasonic) IN2016-5 RCS2016-27 |
In 3rd Generation Partnership Project (3GPP), Narrowband Internet of Things (NB-IoT) has been discussed in order to effi... [more] |
IN2016-5 RCS2016-27 pp.25-30(IN), pp.19-24(RCS) |
RCS, CCS, SR, SRW (Joint) |
2016-03-02 10:50 |
Tokyo |
Tokyo Institute of Technology |
Receiver design for IEEE 802.22 based TV white space mobile communication systems Hiroki Ueno, Keiichi Mizutani, Hiroshi Harada (Kyoto Univ.) SR2015-93 |
It is necessary to use limited frequency resources effectively to correspond increasing demand for wireless communicatio... [more] |
SR2015-93 pp.25-31 |
RCS, CCS, SR, SRW (Joint) |
2016-03-02 17:20 |
Tokyo |
Tokyo Institute of Technology |
A Lower Bound on Secrecy Capacity for MIMO Wiretap Channel Aided by a Cooperative Jammer with Channel Estimation Error Shunya Iwata, Tomoaki Ohtsuki (Keio Univ.) RCS2015-360 |
We consider a multiple-input multiple-output (MIMO) wiretap channel with one transmitter, one receiver, one cooperative ... [more] |
RCS2015-360 pp.163-168 |