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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MWPTHz, EST, MW, EMT, OPE, IEE-EMT [detail] | 2022-07-19 11:05 |
Hokkaido | Asahikawa Civic Culture Hall (Primary: On-site, Secondary: Online) |
[Invited Talk]
Spatial-Domain Signal Processing in Sub-Terahertz Communications Yasutaka Ogawa, Toshihiko Nishimura, Takeo Ohgane (Hokkaido Univ.) |
(To be available after the conference date) [more] | |
| RCS | 2022-06-16 11:05 |
Okinawa | University of the Ryukyus, Senbaru Campus and online (Primary: On-site, Secondary: Online) |
Direction of Arrival Estimation with Compressed Sensing Using Grid Shifts Shudai Kunimoto, Toshihiko Nishimura, Takanori Sato, Yasutaka Ogawa, Junichiro Hagiwara, Takeo Ohgane (Hokkaido Univ.)  RCS2022-47 |
[more] | RCS2022-47 pp.138-143 |
| RCS | 2022-06-16 11:15 |
Okinawa | University of the Ryukyus, Senbaru Campus and online (Primary: On-site, Secondary: Online) |
Considerations on IRS Control based on Beamforming for Sub-Terahertz Band Communications Shuto Tadokoro, Toshihiko Nishimura, Takanori Sato, Yasutaka Ogawa, Junichiro Hagiwara, Takeo Ohgane (Hokkaido Univ.) RCS2022-48 |
[more] | RCS2022-48 pp.144-149 |
| RCS | 2022-06-16 14:30 |
Okinawa | University of the Ryukyus, Senbaru Campus and online (Primary: On-site, Secondary: Online) |
Comparison of Performance and Complexity for different Search Methods in Stochastic MIMO Signal Detection Hiroki Asumi, Yukiko Kasuga, Kazushi Matsumura, Junichiro Hagiwara, Toshihiko Nishimura, Takanori Sato, Yasutaka Ogawa, Takeo Ohgane (Hokkaido Univ.) RCS2022-49 |
In large-scale MIMO signal detection, the computational complexity increases as the number of antennas increases. We hav... [more] | RCS2022-49 pp.150-155 |
| RCS | 2022-06-16 14:55 |
Okinawa | University of the Ryukyus, Senbaru Campus and online (Primary: On-site, Secondary: Online) |
A study on model parameters for MIMO signal detection using learned AMP Mari Miyoshi, Toshihiko Nishimura, Takanori Sato, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara (Hokkaido Univ.) RCS2022-50 |
[more] | RCS2022-50 pp.156-161 |
| 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 |
[more] | RCS2022-63 pp.230-235 |
| RCS, SIP, IT | 2022-01-21 09:25 |
Online | Online | Studies on Sub-Terahertz MIMO Spatial Multiplexing in an Indoor Propagation Environment Taichi Utsuno, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) IT2021-62 SIP2021-70 RCS2021-230 |
[more] | IT2021-62 SIP2021-70 RCS2021-230 pp.189-194 |
| 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, SIP, IT | 2022-01-21 11:45 |
Online | Online | Study on compensation for axis misalignment of UCA with multiple UCAs Nobuhiko Sakuraya, Toshihiko Nishimura, Takeo Ohgane (Hokkaido Univ), Tomoya Tandai, Daisuke Uchida (Toshiba) IT2021-76 SIP2021-84 RCS2021-244 |
In recent years, mobile data traffic has increased explosively due to increasing wireless devices. Capacity enhancement ... [more] | IT2021-76 SIP2021-84 RCS2021-244 pp.270-275 |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-15 11:20 |
Online | Online | Information Box Placing Method for Power Consumption Reduction in Disaster Communication Using DTN Makoto Misumi, Toshihiko Nishimura (Fukuoka Univ.), Noriaki Kamiyama (Ritsumeikan Univ.) NS2021-45 |
In a large-scale disaster such as an earthquake, it is necessary to evacuate quickly and safely. For this purpose, it is... [more] | NS2021-45 pp.69-74 |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-16 14:30 |
Online | Online | Considerations on Accuracy Improvement in Close DOA Estimation with Deep Learning Yuya Kase, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Takanori Sato (Hokkaido Univ.), Yoshihisa Kishiyama (NTT DOCOMO) RCC2021-39 NS2021-55 RCS2021-97 SR2021-39 SeMI2021-28 |
In addition to subspace methods such as MUSIC and ESPRIT, recently, compressed sensing and deep learning have been appl... [more] |
RCC2021-39 NS2021-55 RCS2021-97 SR2021-39 SeMI2021-28 pp.77-82(RCC), pp.118-123(NS), pp.98-103(RCS), pp.100-105(SR), pp.76-81(SeMI) |
| 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 | 2021-06-23 09:40 |
Online | Online | A Comparison of Variational Bayesian and Expectation Propagation Methods for Massive MIMO Signal Detection Hiroki Asumi, Junichiro Hagiwara, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Takanori Sato (Hokkaido Univ.) RCS2021-30 |
Signal detection in massive MIMO has difficulty in reducing computational complexity as the number of antennas increases... [more] | RCS2021-30 pp.7-12 |
| RCS | 2021-06-23 09:50 |
Online | Online | A basic study on signal detection using learned approximate message passing Mari Miyoshi, Wakaba Tsujimoto, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) RCS2021-31 |
Approximate message passing (AMP) is applicable to massive MIMO signal detection and achieves a high detection performan... [more] | RCS2021-31 pp.13-18 |
| RCS | 2021-06-23 16:35 |
Online | Online | A Study on the Behavior of LLR messages in Damped GaBP for Large-scale Signal Detection under a Correlated Channel Daniel Akira Ando, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) RCS2021-45 |
For large-scale signal detection, Gaussian Belief Propagation (GaBP) is known as a method providing a near-optimal perfo... [more] | RCS2021-45 pp.97-102 |
| RCS, SR, SRW (Joint) |
2021-03-05 16:55 |
Online | Online | Compensation for axis misalignment of UCA with OAM beam control Nobuhiko Sakuraya, Toshihiko Nishimura, Takeo Ohgane (Hokkaido Univ), Tomoya Tandai, Daisuke Uchida (Toshiba) RCS2020-260 |
In recent years, mobile data traffic has increased explosively due to increasing wireless devices. Capacity enhancement ... [more] | RCS2020-260 pp.261-266 |
| RCS, SR, SRW (Joint) |
2021-03-05 17:20 |
Online | Online | [Encouragement Talk]
A Study on Downlink Channel Estimation Based on Multipath Separation in a Wideband FDD System Shiori Tosaka, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) RCS2020-261 |
In an FDD system, downlink channel state information (CSI) is necessary at a base station for efficient transmission. T... [more] |
RCS2020-261 pp.267-272 |
| SIP, IT, RCS | 2021-01-21 13:10 |
Online | Online | Performance Evaluation of Loose Beamforming for Different Receiver Numbers Tatsuki Otsuka, Toshihiko Nishimura, Takeo Ohgane, Takanori Sato, Junichiro Hagiwara, Yasutaka Ogawa (Hokkaido Univ.) IT2020-76 SIP2020-54 RCS2020-167 |
[more] | IT2020-76 SIP2020-54 RCS2020-167 pp.75-80 |
| NS, RCS (Joint) |
2020-12-17 11:25 |
Online | Online | Improvement on Signal Detection Performance with HMC in Massive MIMO Kazushi Matsumura, Junichiro Hagiwara, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Takanori Sato (Hokkaido Univ.) RCS2020-135 |
In massive MIMO, a new technology for wireless transmission, various approaches to reduce the computational complexity a... [more] | RCS2020-135 pp.7-12 |
| RCS | 2020-10-22 09:30 |
Online | Online | Shared dataset framework toward applications of machine learning and mathematical optimization for 6G Kazuki Maruta (Tokyo Tech.), Yuta Ida (Yamaguchi Univ.), Yafei Hou (Okayama Univ.), Osamu Muta (Kyushu Univ.), Hiraku Okada (Nagoya Univ.), Toshihiko Nishimura (Hokkaido Univ.), Eiji Okamoto (Nagoya Inst. of Tech.), Yukitoshi Sanada (Keio Univ.), Hidekazu Murata (Kyoto Univ.), Satoshi Denno (Okayama Univ.) RCS2020-92 |
In the research of applying machine learning and mathematical optimization to problems in wireless communication systems... [more] | RCS2020-92 pp.1-6 |
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