Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCS |
2024-06-20 10:10 |
Okinawa |
(Okinawa, Online) (Primary: On-site, Secondary: Online) |
A Study on Mutual Information Prediction after Iterative Signal Detection for MCS Selection in Massive Multi-User MIMO-OFDM Fuga Kobayashi, Takumi Takahashi (Osaka Univ.), Sinsuke Ibi (Doshisha Univ.), Kazushi Muraoka, Takanobu Doi, Naoto Ishii (NEC), Hideki Ochiai (Osaka Univ.) RCS2024-56 |
To maximize spectral efficiency in the uplink of a massive multi-user multi-input multi-output orthogonal frequency-divi... [more] |
RCS2024-56 pp.168-173 |
IT, RCS, SIP |
2023-01-24 14:50 |
Gunma |
Maebashi Terrsa (Gunma, Online) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Machine Learning and Deep Learning-Aided Wireless Physical Layer Techniques Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Daichi Shirase, Takanobu Doi, Kazushi Muraoka, Naoto Ishii (NEC) IT2022-42 SIP2022-93 RCS2022-221 |
[more] |
IT2022-42 SIP2022-93 RCS2022-221 pp.72-77 |
IT, RCS, SIP |
2023-01-25 12:20 |
Gunma |
Maebashi Terrsa (Gunma, Online) (Primary: On-site, Secondary: Online) |
A Study on Wireless Autoencoder for Data-Aided Channel Estimation Yoshinori Ichihashi, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Takanobu Doi, Kazushi Muraoka, Naoto Ishii (NEC), Hisato Iwai (Doshisha Univ.) IT2022-56 SIP2022-107 RCS2022-235 |
In MIMO (Multiple-Input Multiple-Output) channels, when the channel matrix is obtained by the Data-Aided Channel Estimat... [more] |
IT2022-56 SIP2022-107 RCS2022-235 pp.154-159 |
RCS, NS (Joint) |
2022-12-15 16:10 |
Aichi |
Nagoya Institute of Technology, and Online (Aichi, Online) (Primary: On-site, Secondary: Online) |
A Study on Outer Loop Link Adaptation in Massive MIMO with Multi-user Detection via Generalized Approximate Message Passing Takanobu Doi, Jun Shikida, Daichi Shirase, Kazushi Muraoka, Naoto Ishii (NEC), Takumi Takahashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.) RCS2022-196 |
With the ever-growing demand for uplink communications in beyond fifth generation mobile communications (beyond 5G), mas... [more] |
RCS2022-196 pp.57-62 |
AP, RCS (Joint) |
2021-11-11 10:55 |
Nagasaki |
NBC-Bekkan (Nagasaki) (Nagasaki, Online) (Primary: On-site, Secondary: Online) |
A Study on Receive Beamforming for Multi-User Detection with Trainable Gaussian Belief Propagation Takanobu Doi, Jun Shikida, Kazushi Muraoka, Naoto Ishii (NEC), Daichi Shirase, Takumi Takahashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.) RCS2021-159 |
We propose two digital receive beamforming (BF) methods for low-complexity and high-accuracy uplink signal detection via... [more] |
RCS2021-159 pp.86-91 |
RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-16 09:50 |
Online |
Online (Online) |
A study on Negentropy-Aware Deep Unfolding for Coded MIMO Detection via Gaussian Belief Propagation Daichi Shirase, Takumi Takahashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Kazushi Muraoka, Takanobu Doi, Naoto Ishii (NEC), Seiichi Sampei (Osaka Univ.) RCS2021-95 |
[more] |
RCS2021-95 pp.86-91 |
SR, NS, SeMI, RCC, RCS (Joint) |
2020-07-09 13:50 |
Online |
Online (Online) |
A Study on Deep Unfolding-aided Gaussian Belief Propagation for Correlated Large MIMO Signal Detection Daichi Shirase, Takumi Takahashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Kazushi Muraoka, Naoto Ishii (NEC), Seiichi Sampei (Osaka Univ.) RCC2020-6 NS2020-35 RCS2020-69 SR2020-14 SeMI2020-6 |
[more] |
RCC2020-6 NS2020-35 RCS2020-69 SR2020-14 SeMI2020-6 pp.25-30(RCC), pp.25-30(NS), pp.67-72(RCS), pp.31-36(SR), pp.19-24(SeMI) |
RCS |
2020-06-25 15:45 |
Online |
Online (Online) |
A Study on Trainable Gaussian Belief Propagation Using Deep Unfolding for Large MIMO Signal Detection Daichi Shirase, Takumi Takahashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Kazushi Muraoka, Naoto Ishii (NEC), Seiichi Sampei (Osaka Univ.) RCS2020-41 |
[more] |
RCS2020-41 pp.109-114 |
NS, RCS (Joint) |
2019-12-19 13:25 |
Tokushima |
Tokushima Univ. (Tokushima) |
[Invited Lecture]
Some Applications of Machine Learning to Wireless Communication Masaaki Tanio, Naoto Ishii, Norifumi Kamiya (NEC) NS2019-141 RCS2019-244 |
Research and development for the application of machine learning to various areas of signal processing in wireless commu... [more] |
NS2019-141 RCS2019-244 p.43 |
RCS, SR, SRW (Joint) |
2019-03-08 10:55 |
Kanagawa |
YRP (Kanagawa) |
5G R&D Activities for High Data Rate and Low-Power-Consumption Radio Access Technologies with Higher-Frequency-Band and Wider-Bandwidth Massive MIMO Yukihiko Okumura, Satoshi Suyama (NTT DOCOMO), Naoto Ishii, Yasushi Maruta (NEC), Akihiro Okazaki, Atsushi Okamura (Mitsubishi Electric), Jun Terada, Takeshi Onizawa (NTT) RCS2018-324 |
[more] |
RCS2018-324 pp.213-218 |
RCS, SR, SRW (Joint) |
2019-03-08 15:00 |
Kanagawa |
YRP (Kanagawa) |
Research and Development of Low-SHF-Band Massive Element Antennas Technologies for 5G Yasushi Maruta, Jun Shikida, Naoto Ishii (NEC), Tatsuki Okuyama, Kazushi Muraoka, Satoshi Suyama, Jun Mashino, Yukihiko Okumura (NTT DOCOMO) RCS2018-329 |
This paper describes our activities related to massive multi input and multi output (MIMO) for use in 5G radio access ne... [more] |
RCS2018-329 pp.243-248 |
RCS, SR, SRW (Joint) |
2018-03-02 16:35 |
Kanagawa |
YRP (Kanagawa) |
Uplink Transmission Performance Applying Beam Space Channel Estimation to Massive MIMO Systems Kazushi Muraoka, Jun Shikida, Naoto Ishii (NEC) RCS2017-391 |
The 5th generation (5G) mobile communication systems are expected to be applied in new fields like security, telemedicin... [more] |
RCS2017-391 pp.399-404 |
RCS, SR, SRW (Joint) |
2018-03-02 16:55 |
Kanagawa |
YRP (Kanagawa) |
Beam Space Channel Estimation Using Multiple DFT Matrices for Massive MIMO Systems Jun Shikida, Kazushi Muraoka, Naoto Ishii (NEC) RCS2017-392 |
Massive MIMO is a promising technology for the 5th generation (5G) mobile communication systems. When uplink (UL) channe... [more] |
RCS2017-392 pp.405-410 |
AP, RCS (Joint) |
2017-11-08 15:55 |
Fukuoka |
Fukuoka University (Fukuoka) |
Accuracy enhancement method for AoA based 3D positioning with two base stations Xiao Peng, Naoto Ishii (NEC) RCS2017-216 |
In future cellular networks, large array antennas will be deployed in base stations (BSs) in order to increase the capac... [more] |
RCS2017-216 pp.63-68 |
RCS, SR, SRW (Joint) |
2017-03-03 10:25 |
Tokyo |
Tokyo Institute of Technology (Tokyo) |
A Low Complexity Scheduling Scheme for L2 C-RAN with Massive MIMO Jun Shikida, Naoto Ishii (NEC) RCS2016-324 |
Massive MIMO and C-RAN (Cloud-RAN) are promising technologies for the 5th generation (5G) mobile communication systems. ... [more] |
RCS2016-324 pp.193-198 |
RCS |
2016-10-21 13:05 |
Kanagawa |
YRP (Yokosuka) (Kanagawa) |
[Invited Lecture]
DL MU-MIMO Field Trial with 5G Low SHF band Massive MIMO Antenna Yasushi Maruta, Kenichiro Yamazaki, Toshifimi Sato, Naoto Ishii (NEC) RCS2016-184 |
[more] |
RCS2016-184 pp.173-177 |
RCS, CCS, SR, SRW (Joint) |
2016-03-04 11:40 |
Tokyo |
Tokyo Institute of Technology (Tokyo) |
Performance Evaluation of Low Complexity Multi-User MIMO Scheduling Schemes for Massive MIMO System Jun Shikida, Naoto Ishii, Yoshikazu Kakura (NEC) RCS2015-379 |
Massive MIMO is a promising technology for the 5th generation (5G) mobile communication systems. While massive MIMO cont... [more] |
RCS2015-379 pp.267-272 |
RCC, ASN, RCS, NS, SR (Joint) |
2015-07-30 13:00 |
Nagano |
JA Naganoken Bldg. (Nagano) |
[Invited Talk]
Research and Development of Small Cell Base Station for 5G Network Naoto Ishii, Yi Jiang, Yasushi Maruta, Kazuaki Kunihiro, Masao Ikekawa (NEC) RCC2015-36 NS2015-56 RCS2015-119 SR2015-37 ASN2015-46 |
Much attention from industry and academia in the move from current cellular systems toward 5G are attractive since recen... [more] |
RCC2015-36 NS2015-56 RCS2015-119 SR2015-37 ASN2015-46 pp.105-110(RCC), pp.109-114(NS), pp.107-112(RCS), pp.123-128(SR), pp.145-150(ASN) |
|