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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
AP, RCS
(Joint)
2023-11-15
14:30
Kumamoto Kumamoto Prefectural Workers' Welfare Hall
(Primary: On-site, Secondary: Online)
Integrated Radio Resource and User-Cluster Allocation for mmWave Distributed MIMO with Partial MMSE
Daichi Shirase, Kazushi Muraoka, Jun Shikida (NEC) RCS2023-158
This paper proposes a novel integrated radio resource and user-cluster allocation for mmWave distributed MIMO (D-MIMO) w... [more] RCS2023-158
pp.33-38
IT, RCS, SIP 2023-01-24
14:50
Gunma Maebashi Terrsa
(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
RCS, NS
(Joint)
2022-12-15
16:10
Aichi Nagoya Institute of Technology, and 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)
(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 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
RCS 2021-06-24
10:10
Online Online A Study on Low-Complexity Large MIMO Detection Based on Beam-Domain Local LMMSE Filters
Takumi Yoshida, Daichi Shirase, Takumi Takahashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka Univ.) RCS2021-50
In large multi-input multi-output (MIMO) systems, linear minimum mean square error (LMMSE) filters are often utilized as... [more] RCS2021-50
pp.127-132
SR, NS, SeMI, RCC, RCS
(Joint)
2020-07-09
13:50
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 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
 Results 1 - 8 of 8  /   
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