Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MIKA (3rd) |
2023-10-10 15:35 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Study on Error Correction Based on Convergence Detection of Posterior LLRs in Gaussian Belief Propagation for Large-Scale MIMO Signal Detection Shinnosuke Taba, Tetsushi Ikegami, Koichi Maki (Meiji Univ) |
[more] |
|
SeMI, RCS, RCC, NS, SR (Joint) |
2023-07-13 13:50 |
Osaka |
Osaka University Nakanoshima Center + Online (Primary: On-site, Secondary: Online) |
A Study on Bayesian Receiver Design for Uplink MU-MIMO Systems with Carrier Frequency Offsets Kenta Ito, Takumi Takahashi, Koji Igarashi (Osaka Univ.), Koji Ishibashi (UEC), Shinsuke Ibi (Doshisha Univ.) RCS2023-93 |
This paper proposes a novel Bayesian receiver design to realize high-accuracy data detection under observations subject ... [more] |
RCS2023-93 pp.70-75 |
RCS |
2023-06-14 10:10 |
Hokkaido |
Hokkaido University, and online (Primary: On-site, Secondary: Online) |
A Study on performance improvement of uplink multi user radio encypted MIMO transmission scheme using accurate probability calculation Seiya Yamashita, Yuki Mori, Ryo Tozawa, Eiji Okamoto (NITech), Tetsuya Yamamoto (Panasonic) RCS2023-32 |
Multi-user MIMO (MU-MIMO) is known as an effective multiple access method, and we have previously proposed a multi-user ... [more] |
RCS2023-32 pp.25-30 |
RCS, AP, UWT (Joint) |
2022-11-15 10:20 |
Fukuoka |
Kyushu University, and Online (Primary: On-site, Secondary: Online) |
A Study on Performance Improvement of Uplink Multi-User Chaos MIMO Transmission Scheme Kenta Kato, Keisuke Asano, Takumi Abe, Yuki Mori, Eiji Okamoto (NIT), Tetsuya Yamamoto (Panasonic) RCS2022-157 |
Internet of things (IoT) terminals have spread rapidly in recent years, and multi-user multiple-input multiple-output (M... [more] |
RCS2022-157 pp.13-18 |
MIKA (3rd) |
2022-10-14 10:40 |
Niigata |
Niigata Citizens Plaza (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Channel and Data Estimation via Deep Unfolding-Aided BiGaBP for Correlated Massive MIMO Koichi Maki, Tetsushi Ikegami (Meiji Univ.) |
This paper applies deep unfolding (DU) to a joint channel and data estimation (JCDE) scheme via bilinear belief propagat... [more] |
|
RCS |
2022-06-17 09:30 |
Okinawa |
University of the Ryukyus, Senbaru Campus and online (Primary: On-site, Secondary: Online) |
A study on Joint Channel and Data Estimation via Parametric Bilinear Inference for OTFS Transmission Kengo Furuta, Kenta Ito, Takumi Takahashi (Osaka Univ), Shinsuke Ibi (Doshisha Univ), Seiichi Sampei (Osaka Univ) RCS2022-56 |
In high-speed mobile communication environments, an orthogonal time frequency space (OTFS) scheme with robustness to dou... [more] |
RCS2022-56 pp.188-193 |
RCS |
2022-06-17 10:05 |
Okinawa |
University of the Ryukyus, Senbaru Campus and online (Primary: On-site, Secondary: Online) |
A Study on Irregular Sparse Superposition Code for Massive NOMA Detection Shinya Oishi, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2022-58 |
Orthogonal multiple access (OMA) is finding it difficult to cope with the increase in wireless traffic due to the Intern... [more] |
RCS2022-58 pp.200-205 |
RCS |
2022-04-22 11:20 |
Osaka |
Osaka University, and online (Primary: On-site, Secondary: Online) |
A Study on Parametric Bilinear Inference via Gaussian Belief Propagation Kenta Ito, Takumi Takahashi, Koji Igarashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka Univ.) RCS2022-8 |
Parametric bilinear inference estimates two unknown varables (i.e., parameters) with a symmetric linear regression struc... [more] |
RCS2022-8 pp.35-40 |
SRW, SeMI, CNR (Joint) |
2021-11-26 15:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Performance of Least-squares Channel Estimation for Large-scale MU-MIMO-OFDM in the Presence of Terminal Mobility Yutaka Itoya, Shuhei Saito, Hirofumi Suganuma (Waseda Univ.), Hiromichi Tomeba, Takashi Onodera (Sharp), Fumiaki Maehara (Waseda Univ.) SRW2021-51 SeMI2021-50 CNR2021-25 |
This report investigates the effect of multiplexing-based least squares (LS) channel estimation on uplink large-scale MU... [more] |
SRW2021-51 SeMI2021-50 CNR2021-25 pp.82-83(SRW), pp.69-70(SeMI), pp.59-60(CNR) |
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 |
2021-06-24 13:10 |
Online |
Online |
A Study on Gaussian Belief Propagation Detector for High-Dimensional OTFS Modulation Yuya Ito, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.), Noboru Osawa, Kosuke Yamazaki, Yoji Kishi (KDDI Research) RCS2021-54 |
This paper proposes a demodulation (detection) scheme via Gaussian belief propagation (GaBP) for orthogonal time frequen... [more] |
RCS2021-54 pp.151-156 |
RCS, SR, SRW (Joint) |
2021-03-03 10:35 |
Online |
Online |
A Study on Gaussian Belief Propagation with Whitening Filter for Faster-than-Nyquist Transmissions Natsuki Yanai, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2020-205 |
This paper proposes a novel concatenated structure of whitening filter and iterative detector based on Gaussian belief p... [more] |
RCS2020-205 pp.13-18 |
RCS, SR, SRW (Joint) |
2021-03-05 10:30 |
Online |
Online |
A Study on Trainable Gaussian Belief Propagation Using Deep Unfolding for Large NOMA Detection Ryuichi Kume, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2020-255 |
This paper compares transmission characteristics of sparse code multiple access (SCMA) and sparse superposition code (SS... [more] |
RCS2020-255 pp.240-245 |
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 |
2020-06-26 11:15 |
Online |
Online |
A Study on Gaussian Belief Propagation for Sparse Superposition Code in Massive NOMA Detection Ryuichi Kume, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2020-45 |
In this paper, we propose an iterative detection strategy of Gaussian belief propagation (GaBP) for non-orthogonal multi... [more] |
RCS2020-45 pp.133-138 |
MIKA (2nd) |
2019-10-04 12:15 |
Hokkaido |
Hokkaido Univ. |
[Invited Lecture]
Performance improvement of 5G IoT wireless communication using nonlinear signal processing Eiji Okamoto (NITech) |
In addition to a traditional use case of high-capacity communication, the fifth generation mobile communications system ... [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 |
RCS |
2019-06-19 11:30 |
Okinawa |
Miyakojima Hirara Port Terminal Building |
A study on performance improvment of uplink massive chaos MIMO transmission scheme Tomoki Kaga, Yoshihiro Masuda, Eiji Okamoto (NIT), Tetsuya Yamamoto (Panasonic) RCS2019-48 |
In the fifth generation mobile communications system (5G), massive multiple input multiple output (MIMO) technique has b... [more] |
RCS2019-48 pp.67-72 |
RCS |
2019-06-20 17:25 |
Okinawa |
Miyakojima Hirara Port Terminal Building |
[Invited Talk]
Performance evaluation of large-scale signal detection using Gaussian belief propagation and other iterative methods Takeo Ohgane (Hokkaido Univ.) RCS2019-81 |
We frequently face a problem to detect large-scale signals. For such a problem, linear estimators may not be sufficient,... [more] |
RCS2019-81 p.259 |
RCS |
2019-06-21 14:35 |
Okinawa |
Miyakojima Hirara Port Terminal Building |
A Study on CRC-aided Signal Detection Using Gaussian Belief Propagation in Interleave Division Multiple Access Wataru Kawabata, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa (Hokkaido Univ.) RCS2019-95 |
With the progress of IoT, an explosive increase in the number of devices connected to the Internet is predicted. Among m... [more] |
RCS2019-95 pp.339-345 |