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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 27  /  [Next]  
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
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