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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 15 of 15  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS 2021-04-22
10:55
Online Online A Study on Deep Learning Based Resource Allocation Method to Control System Capacity and Fairness for MU-MIMO THP
Yukiko Shimbo, Hirofumi Suganuma (Waseda Univ.), Hiromichi Tomeba, Takashi Onodera (Sharp), Fumiaki Maehara (Waseda Univ.) RCS2021-2
This report proposes a deep-learning-based resource allocation method to adaptively control system capacity and fairness... [more] RCS2021-2
pp.6-10
RCS, SR, SRW
(Joint)
2021-03-04
11:35
Online Online [Poster Presentation] A Study on Fading Variation Estimation Employing Deep Learning Based on Level Crossing Rate
Koshiro Kawachi, Yukiko Shimbo, Hirofumi Suganuma, Fumiaki Maehara (Waseda Univ.) RCS2020-233 SR2020-72 SRW2020-62
Fifth-generation (5G) mobile communication systems entail various scenarios such as enhanced mobile broadband (eMBB), ul... [more] RCS2020-233 SR2020-72 SRW2020-62
pp.155-156(RCS), pp.48-49(SR), pp.43-44(SRW)
SRW, SeMI, CNR
(Joint)
2020-11-26
17:20
Online Online [Poster Presentation] A Study on SCMA/OFDMA System Selection Employing Deep Learning Based on User Position Information
Yuta Kumagai, Naoya Gonda, Yukiko Shimbo, Hirofumi Suganuma, Fumiaki Maehara (Waseda Univ.) SRW2020-33
(To be available after the conference date) [more] SRW2020-33
pp.40-41
RCS, SR, SRW
(Joint)
2020-03-05
11:15
Tokyo Tokyo Institute of Technology
(Cancelled but technical report was issued)
An Application of Deep Learning to CoMP Transmission Employing Vehicle Position Information in Taxi Radio Systems
Kazuki Kojima, Yukiko Shimbo, Hirofumi Suganuma, Fumiaki Maehara (Waseda Univ.) RCS2019-355
This report proposes a coordinated multi-point (CoMP) transmission method based on deep learning for taxi radio systems ... [more] RCS2019-355
pp.189-193
RCS, SR, SRW
(Joint)
2020-03-06
13:30
Tokyo Tokyo Institute of Technology
(Cancelled but technical report was issued)
[Poster Presentation] A Study on Performance Improvement of SC-FDE Decision Feedback Channel Estimation Employing Terminal Mobility
Atsuya Nakamura, Yukiko Shimbo, Shuhei Saito, Hirofumi Suganuma, Fumiaki Maehara (Waseda Univ.) RCS2019-405 SR2019-139 SRW2019-89
(To be available after the conference date) [more] RCS2019-405 SR2019-139 SRW2019-89
pp.409-410(RCS), pp.133-134(SR), pp.133-134(SRW)
NS, RCS
(Joint)
2019-12-19
09:40
Tokushima Tokushima Univ. A Study on Repetition Control Method Using Terminal Mobility for Uplink Grant-Free URLLC
Shinichi Ozaku, Yukiko Shimbo, Hirofumi Suganuma, Fumiaki Maehara (Waseda Univ.) RCS2019-238
K-repetitions method, which transmits the same packet a predetermined number of times, is a promising approach for uplin... [more] RCS2019-238
pp.7-11
RCS, SAT
(Joint)
2019-08-23
11:20
Aichi Nagoya University A Study on Theoretical System Capacity of Multi-user MIMO-OFDM THP in the Presence of Terminal Mobility
Ryota Mizutani, Yukiko Shimbo, Hirofumi Suganuma (Waseda Univ.), Hiromichi Tomeba, Takashi Onodera (Sharp), Fumiaki Maehara (Waseda Univ.) RCS2019-165
This report investigates the theoretical system capacity of multi-user multiple-input multiple-output orthogonal frequen... [more] RCS2019-165
pp.103-107
RCS 2019-06-19
11:40
Okinawa Miyakojima Hirara Port Terminal Building Theoretical System Capacity of MU-MIMO THP Considering Proportional Fairness Scheduling
Karen Taguchi, Ryota Mizutani, Yukiko Shimbo, Hirofumi Suganuma, Fumiaki Maehara (Waseda Univ.) RCS2019-49
(To be available after the conference date) [more] RCS2019-49
pp.73-78
RCS 2019-04-19
09:30
Hokkaido Noboribetsu Grand Hotel A Study on Low Complexity Fair User Scheduling Employing Spatial Orthogonality for MU-MIMO Systems
Ei Nandar Maung, Yukiko Shimbo, Hirofumi Suganuma, Fumiaki Maehara (Waseda Univ.) RCS2019-13
This report proposes a low complexity fair user scheduling method employing semiorthogonal user selection (SUS) for mult... [more] RCS2019-13
pp.55-59
RCS, SR, SRW
(Joint)
2019-03-06
11:20
Kanagawa YRP [Encouragement Talk] Impact of Antenna Arrangement on Theoretical System Capacity of MU-MIMO in the Presence of Terminal Mobility
Hirofumi Suganuma, Yukiko Shimbo (Waseda Univ.), Hiromichi Tomeba, Takashi Onodera (Sharp), Fumiaki Maehara (Waseda Univ.) RCS2018-287
(To be available after the conference date) [more] RCS2018-287
pp.31-36
WBS, ITS, RCC 2018-12-07
13:50
Okinawa Miyako Island Hirara Port Terminal Bldg. [Encouragement Talk] A Study on Cost Reduction of Proportional Fairness Scheduling Using User Distribution in MU-MIMO THP
Yukiko Shimbo, Hirofumi Suganuma, Fumiaki Maehara (Waseda Univ.) WBS2018-68 ITS2018-51 RCC2018-99
(To be available after the conference date) [more] WBS2018-68 ITS2018-51 RCC2018-99
pp.229-234
ASN, NS, RCS, SR, RCC
(Joint)
2018-07-13
16:40
Hokkaido Hakodate Arena A Study on Application Effect of Delay Spread Estimation Method based on Level Crossing Rate to Ordering Cost Reduction Method in MU-MIMO-OFDM THP
Yukiko Shimbo, Hirofumi Suganuma, Fumiaki Maehara (Waseda Univ.) RCS2018-129
Broadband mobile wireless systems suffer from frequency selective fading due to multipath, which motivates us to
establ... [more]
RCS2018-129
pp.249-254
SAT, WBS
(Joint)
2018-05-25
10:30
Kagoshima Kagoshima University A Study on Frequency and Time Selectivity Estimation Using Level Crossing Rate
Yukiko Shimbo, Hirofumi Suganuma, Fumiaki Maehara (Waseda Univ.) WBS2018-4
(To be available after the conference date) [more] WBS2018-4
pp.19-24
IN, RCS, NV
(Joint)
2018-05-11
10:05
Kanagawa Keio University A Study on Theoretical System Capacity Performance of MU-MIMO THP in the Presence of Terminal Mobility
Hirofumi Suganuma, Yukiko Shimbo, Nobuhiro Hiruma (Waseda Univ.), Hiromichi Tomeba, Takashi Onodera (Sharp), Fumiaki Maehara (Waseda Univ.) RCS2018-32
MU-MIMO Tomlinson-Harashima precoding (THP) achieves higher system capacity than MU-MIMO linear precoding (LP) thanks to... [more] RCS2018-32
pp.59-64
WBS 2017-10-13
11:30
Wakayama Rivage Spa Hikigawa (Nanki Shirahama) Influence of User Scheduling on the Performance of MU-MIMO THP from the Viewpoint of System Capacity and Fairness
Yukiko Shimbo, Nobuhiro Hiruma, Fumiaki Maehara (Waseda Univ.) WBS2017-34
Multi-user MIMO (MU-MIMO) employing Tomlinson Harashima precoding (THP) achieves large system capacity in comparison wit... [more] WBS2017-34
pp.63-66
 Results 1 - 15 of 15  /   
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