Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCS, SR, SRW (Joint) |
2024-03-15 13:50 |
Tokyo |
The University of Tokyo (Hongo Campus), and online (Primary: On-site, Secondary: Online) |
Time-Varying Channel Prediction Considering Angle-of-Arrival Variation for Hybrid Massive MIMO Communications Yuki Ono, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech), Satoshi Suyama, Takahiro Asai (NTT DOCOMO) RCS2023-287 |
For 5G massive MIMO systems, hybrid beamforming (HB), which is composed of analog beamforming (AB) and digital beamformi... [more] |
RCS2023-287 pp.146-151 |
RCS, SR, SRW (Joint) |
2024-03-15 14:15 |
Tokyo |
The University of Tokyo (Hongo Campus), and online (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Considerations on Computational Complexity Reduction in Channel Prediction Based on Multipath Separation for Sub-THz-Band Communications Daigo Mochizuki, Toshihiko Nishimura, Takanori Sato, Yasutaka Ogawa (Hokkaido Univ.), Junichiro Hagiwara (Mukogawa Women's Univ.), Takeo Ohgane (Hokkaido Univ.) RCS2023-288 |
In sixth-generation mobile communications, a sub-THz band will be used for extreme high-data rate communication. Because... [more] |
RCS2023-288 pp.152-157 |
RCS |
2022-06-17 14:00 |
Okinawa |
University of the Ryukyus, Senbaru Campus and online (Primary: On-site, Secondary: Online) |
Fundamental Considerations on Channel Prediction Based on Multipath Delay and Angle-of-Arrival Estimation for Sub-Terahertz Band Communications Daigo Mochizuki, Toshihiko Nishimura, Takanori Sato, Yasutaka Ogawa, Junichiro Hagiwara, Takeo Ohgane (Hokkaido Univ.) RCS2022-63 |
A sub-Terahertz band above 100 GHz will be used in 6G for extremely high-speed communication. In such a high frequency b... [more] |
RCS2022-63 pp.230-235 |
RCS, SR, SRW (Joint) |
2022-03-02 10:25 |
Online |
Online |
Random-Phase based Physical-Layer Security Scheme Robust against Time-Variant MIMO Channels Yurika Matsumoto, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech) RCS2021-252 |
As conventional physical layer security schemes for wireless communications, artificial noise (AN) and artificial fast f... [more] |
RCS2021-252 pp.7-12 |
RCS, SIP, IT |
2022-01-21 09:50 |
Online |
Online |
Studies on Channel Prediction in a Millimeter-Wave Band Based on Multipath Delay and Angle-of-Arrival Estimation Daigo Mochizuki, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) IT2021-63 SIP2021-71 RCS2021-231 |
A multi-user MIMO system can achieve high-capacity communication using downlink channel state information (CSI) for each... [more] |
IT2021-63 SIP2021-71 RCS2021-231 pp.195-200 |
RCS |
2021-06-23 09:30 |
Online |
Online |
Considerations on computational complexity reduction in channel prediction based on multipath separation Daigo Mochizuki, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) RCS2021-29 |
In multi-user MIMO systems, a base station suppresses inter-user-interferences using downlink channel state information ... [more] |
RCS2021-29 pp.1-6 |
RCS, SIP, IT |
2019-02-01 10:50 |
Osaka |
Osaka University |
A Study on Categorization of Busy/Idle History for Autoregressive Based Busy/Idle Duration Prediction over Real Environmental Channel Yusuke Tanaka, yafei HOU, Satoshi Denno (Okayama Univ.), Yoshinori Suzuki (ATR) IT2018-56 SIP2018-86 RCS2018-263 |
Predicting the channel spectrum (busy or idle) is one of important but challenging topic for a cognitive radio (CR) syst... [more] |
IT2018-56 SIP2018-86 RCS2018-263 pp.121-126 |
RCS, SR, SRW (Joint) |
2018-03-01 09:40 |
Kanagawa |
YRP |
Considerations on a MIMO Channel Prediction Scheme Using Multipath Separation in Delay, Departure Angle, and Arrival Angle Domains Kanako Okumura, Yasutaka Ogawa, Toshihiko Nishimura, Takeo Ohgane (Hokkaido Univ.) RCS2017-348 |
In downlink multi-user MIMO transmission, channel state information is required for precoding at a base station. The cha... [more] |
RCS2017-348 pp.179-184 |
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) |
AP, RCS (Joint) |
2017-11-08 16:20 |
Fukuoka |
Fukuoka University |
Channel Compression for Massive MIMO based on Multi-Dimensional Scaling with Channel Prediction Rei Nagashima, Tomoaki Ohtsuki (Keio Univ.), Wenjie Jiang, Yasushi Takatori (NTT) RCS2017-221 |
Massive MIMO (multiple-input multiple-output) is one of the key technologies to realize 5G (5th Generation). However, th... [more] |
RCS2017-221 pp.93-98 |
NS, ASN, RCC, RCS, SR (Joint) |
2017-07-19 15:35 |
Hokkaido |
Hokkaido Univ. |
Considerations on a Channel Prediction Scheme Using Multipath Separation in the Delay and Angle Domains Kanako Okumura, Yasutaka Ogawa, Toshihiko Nishimura, Takeo Ohgane (Hokkaido Univ.) RCS2017-103 |
Due to motion of user equipment, propagation environments in wireless communication vary over time. In time-varying envi... [more] |
RCS2017-103 pp.61-66 |
RCS |
2016-06-23 09:50 |
Okinawa |
Univ. of the Ryukyus |
Channel Compression for Massive MIMO based on Principal Component Analysis with Channel Prediction and Differential Quantization Rei Nagashima, Tomoaki Ohtsuki (Keio Univ.), Wenjie Jiang, Yasushi Takatori, Tadao Nakagawa (NTT) RCS2016-59 |
Massive MIMO (multiple-input multiple-output) is one of the key technologies to realize 5G (5th Generation).However, the... [more] |
RCS2016-59 pp.75-80 |
RCS |
2016-06-23 10:00 |
Okinawa |
Univ. of the Ryukyus |
Considerations on a Channel Prediction Scheme Based on Impulse Response Estimation Kanako Okumura, Yasutaka Ogawa, Toshihiko Nishimura, Takeo Ohgane (Hokkaido Univ.) RCS2016-60 |
In wireless communication, propagation environments vary over time. In time-varying environments, we need to estimate ch... [more] |
RCS2016-60 pp.81-86 |
MBE, NC (Joint) |
2016-03-22 13:45 |
Tokyo |
Tamagawa University |
Quaternion neural networks to estimate and predict polarization states in multipath environment Maoki Hikosaka, Tianben Ding, Akira Hirose (Univ. Tokyo) NC2015-73 |
Channel compensation often employs pre-equalization and/or adaptive diversity schemes. Such techniques require channel p... [more] |
NC2015-73 pp.25-30 |
RCS, CCS, SR, SRW (Joint) |
2016-03-02 16:55 |
Tokyo |
Tokyo Institute of Technology |
A Study of Time-varying Channel Tolerance of Receiving Technique in Multiple-Input Multiple-Output Eigenbeam Space Division Multiplexing Yusuke Dohi, Tetsushi Ikegami (Meiji Univ.) RCS2015-359 |
A degraded communication performance for feedback delay has been recognized in MIMO (multiple-input multiple-output) E-S... [more] |
RCS2015-359 pp.157-162 |
RCS, CCS, SR, SRW (Joint) |
2016-03-04 09:25 |
Tokyo |
Tokyo Institute of Technology |
Interference Alignment for Time-Varying Channel with Low Complexity Channel Prediction based on Auto Regressive Model Masayoshi Ozawa, Tomoaki Ohtsuki (Keio Univ.), Wenjie Jiang, Yasushi Takatori, Tadao Nakagawa (NTT) RCS2015-381 |
Interference alignment (IA) is a interference suppression technique with a few number of antennas by aligning interferen... [more] |
RCS2015-381 pp.279-284 |
RCS, CCS, SR, SRW (Joint) |
2016-03-04 14:30 |
Tokyo |
Tokyo Institute of Technology |
Channel Prediction Using 2-Step Compressed Sensing in a Time-Varying Multi-User MIMO Environment Shunsuke Uehashi, Yasutaka Ogawa, Toshihiko Nishimura, Takeo Ohgane (Hokkaido Univ.) RCS2015-394 |
In multi-user MIMO systems, a base station needs downlink channel state information to each user to suppress interferenc... [more] |
RCS2015-394 pp.357-362 |
AP, RCS, WPT, SAT (Joint) |
2015-11-06 14:35 |
Okinawa |
Okinawa Prefectural Museum & Art Museum |
Channel Prediction Using Compressed Sensing in a Multi-User MIMO Environment with Moving Scatterers Shunsuke Uehashi, Yasutaka Ogawa, Toshihiko Nishimura, Takeo Ohgane (Hokkaido Univ.) RCS2015-240 |
In multi-user MIMO systems, a base station needs downlink channel state information (CSI) to each user to suppress inter... [more] |
RCS2015-240 pp.299-304 |
RCS |
2015-06-25 13:40 |
Hokkaido |
Hokkaido Univ. |
Interference Alignment for Time-varying Channel with Channel and Weight Predictions based on Auto Regressive Model Masayoshi Ozawa, Tomoaki Ohtsuki (Keio Univ.), Wenjie Jiang, Yasushi Takatori (NTT) RCS2015-72 |
In interference alignment (IA), interference signals are aligned in a certain signal subspace of each receiver and elimi... [more] |
RCS2015-72 pp.155-160 |
SIP, RCS |
2015-01-22 13:45 |
Okayama |
Okayama Univ. |
Considerations on a Channel Prediction Scheme Using Compressed Sensing in Multi-User MIMO Systems Shunsuke Uehashi, Yasutaka Ogawa, Toshihiko Nishimura, Takeo Ohgane (Hokkaido Univ.) SIP2014-90 RCS2014-278 |
In multi-user MIMO systems, a base station needs downlink channel state information (CSI) to each user to suppress inter... [more] |
SIP2014-90 RCS2014-278 pp.55-60 |