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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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, 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 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 |
| SR, NS, SeMI, RCC, RCS (Joint) |
2020-07-09 13:25 |
Online | Online | Considerations on Accuracy Improvement in DOA Estimation Using Deep Learning Yuya Kase, Takanori Sato, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.), Daisuke Kitayama, Yoshihisa Kishiyama (NTT DOCOMO) RCC2020-5 NS2020-34 RCS2020-68 SR2020-13 SeMI2020-5 |
Direction of arrival (DOA) estimation of radio waves using a various types of array antennas are generally classified in... [more] | RCC2020-5 NS2020-34 RCS2020-68 SR2020-13 SeMI2020-5 pp.19-24(RCC), pp.19-24(NS), pp.61-66(RCS), pp.25-30(SR), pp.13-18(SeMI) |
| RCS | 2020-06-25 11:15 |
Online | Online | A Study on Loose Beam Forming Using Differential Evolution Tatsuki Otsuka, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) RCS2020-34 |
In multi-user massive MIMO systems, it is concerned that the computational load to form a weight increases drastically a... [more] | RCS2020-34 pp.67-72 |
| RCS | 2020-06-25 14:30 |
Online | Online | A Study on Signal Detection in Massive MIMO Using MCMC Kazushi Matsumura, Junichiro Hagiwara, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Takanori Sato (Hokkaido Univ.) RCS2020-38 |
MIMO is a new technology for wireless transmission; as the number of antennas increases, the computational complexity of... [more] | RCS2020-38 pp.91-95 |
| RCS | 2020-06-25 14:55 |
Online | Online | A Study on the Behavior of Each LLR in Gaussian Belief Propagation Daniel Akira Ando, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) RCS2020-39 |
We have entered the era of the Internet of Things (IoT), where everything can now be connected to the internet. In order... [more] | RCS2020-39 pp.97-102 |
| RCS | 2020-06-24 - 2020-06-26 |
Online | Online | RCS2020-52 |
[more] | RCS2020-52 pp.175-179 |
| RCS | 2020-06-24 - 2020-06-26 |
Online | Online | A Study on Massive MIMO Signal Detection Using Approximate Message Passing Wakaba Tsujimoto, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) RCS2020-53 |
[more] | RCS2020-53 pp.181-186 |
| AP, RCS (Joint) |
2019-11-20 13:10 |
Saga | Saga Univ. | Signal detection using Approximate Message Passing with node selection in Massive MIMO System Wakaba Tsujimoto, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara (Hokkaido Univ.) RCS2019-210 |
Approximate message passing (AMP), originally proposed in the field of compressed sensing, is applicable to detection of... [more] | RCS2019-210 pp.43-47 |
| MIKA (2nd) |
2019-10-03 13:35 |
Hokkaido | Hokkaido Univ. | [Invited Lecture]
DOA Estimation Using Sparse Modeling Toshihiko Nishimura, Seigi Nakatsu, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.) |
The problem of estimating the direction of arrival (DOA) of radio waves from signals received by multiple antennas is a ... [more] | |
| RCS, SAT (Joint) |
2019-08-22 09:25 |
Aichi | Nagoya University | A Study on a Performance Improvement by Cyclic Redundancy Check for Large-Scale SCMA Detection Renjie Li, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara (Hokkaido Univ.) RCS2019-147 |
SCMA attracts attention as a non-orthogonal multiple access method for device-to-device communi- cation. Generally, NOMA... [more] | RCS2019-147 pp.7-12 |
| SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-11 13:55 |
Osaka | I-Site Nanba（Osaka） | A Study on Close DOA Estimation with Deep Learning Yuya Kase, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.), Daisuke Kitayama, Yoshihisa Kishiyama (NTT DOCOMO) RCC2019-39 NS2019-75 RCS2019-132 SR2019-51 SeMI2019-48 |
Direction of arrival (DOA) estimation of radio waves is applicable to localization of users in mobile communication and ... [more] | RCC2019-39 NS2019-75 RCS2019-132 SR2019-51 SeMI2019-48 pp.133-138(RCC), pp.159-164(NS), pp.155-160(RCS), pp.165-170(SR), pp.147-152(SeMI) |
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